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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ijcs</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Cardiovascular Sciences</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Int J Cardiovasc Sci </abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2359-4802</issn>
      <issn pub-type="epub">2359-5647</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id specific-use="scielo-v3" pub-id-type="publisher-id">RtYq87jYgKKGHkTZKWsnsjs</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S2359-56472024000100212</article-id>
      <article-id pub-id-type="other">00212</article-id>
      <article-id pub-id-type="doi">10.36660/ijcs.20230099</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>ORIGINAL ARTICLE</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Hemoglobin/Red Cell Distribution Width Ratio is Associated With Poor Prognosis in Patients With Acute Coronary Syndrome in Long-Term Follow-Up</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-5126-0959</contrib-id>
          <name>
            <surname>K&#305;l&#305;&#231;</surname>
            <given-names>O&#287;uz</given-names>
          </name>
          <role>Conception and design of the research</role>
          <role>analysis and interpretation of the data</role>
          <role>writing of the manuscript</role>
          <role>critical revision of the manuscript for intellectual content</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-6530-9728</contrib-id>
          <name>
            <surname>Mustu</surname>
            <given-names>Mehmet</given-names>
          </name>
          <role>Conception and design of the research</role>
          <role>acquisition of data</role>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-8997-9240</contrib-id>
          <name>
            <surname>Suygun</surname>
            <given-names>Hakan</given-names>
          </name>
          <role>acquisition of data</role>
          <role>writing of the manuscript</role>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-6349-4253</contrib-id>
          <name>
            <surname>Con</surname>
            <given-names>Enes</given-names>
          </name>
          <role>acquisition of data</role>
          <role>statistical analysis</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-8877-100X</contrib-id>
          <name>
            <surname>Karakurt</surname>
            <given-names>Ahmet</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-9053-621X</contrib-id>
          <name>
            <surname>&#214;zer</surname>
            <given-names>S&#252;meyye Fatma</given-names>
          </name>
          <role>analysis and interpretation of the data</role>
          <role>statistical analysis</role>
          <role>writing of the manuscript</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution content-type="orgname">Karaman Research and Training Hospital</institution>
        <addr-line>
          <named-content content-type="city">Karaman</named-content>
        </addr-line>
        <country country="TR">Turkey</country>
        <institution content-type="original">Karaman Research and Training Hospital, Karaman &#8211; Turkey</institution>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution content-type="orgname">Karamanoglu Mehmetbey University</institution>
        <addr-line>
          <named-content content-type="city">Karaman</named-content>
        </addr-line>
        <country country="TR">Turkey</country>
        <institution content-type="original">Karamanoglu Mehmetbey University, Karaman &#8211; Turkey</institution>
      </aff>
      <author-notes>
        <corresp id="c01"> Mailing Address: O&#287;uz K&#305;l&#305;&#231; Department of Cardiology, Karaman Traininng and Research Hospital. Postal code: 20700. Karaman &#8211; Turkey E-mail: <email>dr.kilicoguz@gmail.com</email> </corresp>
        <fn fn-type="conflict">
          <p>Potential Conflict of Interest</p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>11</day>
        <month>03</month>
        <year>2024</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2024</year>
      </pub-date>
      <volume>37</volume>
      <elocation-id>e20230099</elocation-id>
      <history>
        <date date-type="received">
          <day>05</day>
          <month>07</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>12</day>
          <month>11</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>13</day>
          <month>12</month>
          <year>2023</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <license-p> This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. </license-p>
        </license>
      </permissions>
      <abstract abstract-type="graphical">
        <p>
          <fig id="f01">
            <label>Central Illustration</label>
            <caption>
              <title>: Hemoglobin/Red Cell Distribution Width Ratio is Associated With Poor Prognosis in Patients With Acute Coronary Syndrome in Long-Term Follow-Up</title>
            </caption>
            <attrib>Hb: Hemoglobin; RMI: recurrent myocardial infarction; R-TVR: recurrent target vessel revascularization; PTCA: percutaneous transluminal coronary angioplasty; STEMI: ST segment elevation myocardial infarction; NSTEMI: Non-ST segment elevation myocardial infarction; RDW: red cell distribution width; ACS: acute coronary syndrome; MACE: major adverse cardiac events; CAG: coronary angiography; AUC: Area Under the Curve ; ROC: Receiver Operating Characteristic Curve.</attrib>
            <alternatives>
              <graphic xlink:href="https://minio.scielo.br/documentstore/2359-5647/RtYq87jYgKKGHkTZKWsnsjs/012bb264842c8e108a52516b065fc33d248437fe.tif"/>
              <graphic xlink:href="https://minio.scielo.br/documentstore/2359-5647/RtYq87jYgKKGHkTZKWsnsjs/fbaa6ad572830fc7441e148342a4c7331c7bc70e.png" specific-use="scielo-web"/>
              <graphic xlink:href="https://minio.scielo.br/documentstore/2359-5647/RtYq87jYgKKGHkTZKWsnsjs/f82f56b47c0dd6806969962f3e5d04d40550e9d3.jpg" specific-use="scielo-web" content-type="scielo-267x140"/>
            </alternatives>
          </fig>
        </p>
      </abstract>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background</title>
          <p> Acute coronary syndrome (ACS) is the most common subtype of coronary artery disease (CAD). It is one of the main reasons affecting the expected life expectancy and quality of life.</p>
        </sec>
        <sec>
          <title>Objetives</title>
          <p> In this study, we aimed to investigate the relationship between major adverse cardiac events (MACE) and Hemoglobin (Hb)/Red cell distribution width (RDW) in long-term follow-up after ACS.</p>
        </sec>
        <sec>
          <title>Methods</title>
          <p> A total of 1,146 ACS patients were included in the study, being classified according to the type of myocordial infarction (MI). MACE were recorded in long-term follow-up. The relationship between Hb/RDW and MACE was investigated. The statistical analyses of Mann-Whitney U test for comparison of two independent groups and chi-square test for categorical variables were used. In order to determine the diagnostic feature of the HB/RDW ratio, the diagnostic ratios were calculated by applying Receiver Operating Characteristic Curve (ROC) analysis. A p &lt; 0.05 value was considered statistically significant in all analyses. Results: When the patients were analyzed according to MI types &#8212; ST segment elevation myocardial infarction (STEMI)/Non-ST segment elevation myocardial infarction (NSTEMI) &#8212;, it was observed that Hb/RDW (p = 0.038) was significantly higher in the STEMI group. The Hb/RDW ratio was statistically significant in predicting mortality. As a result of ROC analysis, Area Under the Curve (AUC) = 0.654 (p &lt; 0.001) was found. The cut-off value for the Hb/RDW ratio was calculated as 0.947. The sensitivity and specificity of 76.9% and 48.4% for the diagnostic rates obtained were moderately acceptable.</p>
        </sec>
        <sec>
          <title>Conclusion</title>
          <p> The Hb/RDW-long-term mortality relationship was found to be significant in ROC analysis. It can be used in clinical practice as it is cheap, easy to apply, and reduces possible bias in post-ACS follow-up.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>Acute Coronary Syndrome</kwd>
        <kwd>Hemoglobins</kwd>
        <kwd>Throcyte Indices</kwd>
        <kwd>Mortality</kwd>
        <kwd>Inflammation</kwd>
      </kwd-group>
      <counts>
        <fig-count count="2"/>
        <table-count count="5"/>
        <equation-count count="0"/>
        <ref-count count="42"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introduction</title>
      <p>Acute coronary syndrome (ACS) is the most common disease of the coronary arteries leading to myocardial ischemia.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> According to current data, it affects approximately 112 million people over the age of 20 worldwide.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> Today, although mortality has decreased with the increase in early diagnosis and treatment and complementary health services, it is still one of the most important causes of mortality. It causes high healthcare costs.</p>
      <p>It is known that gender, physical activity, follow-up strategies, adherence to treatment, accompanying heart failure (HF), and comorbid conditions affect the prognosis of the preferred treatment method (medical or revascularization).<sup><xref ref-type="bibr" rid="B3">3</xref></sup> Currently, mortality and morbidity management strategies after ACS focus on stratifying the patient according to their risks and using an appropriate prognostic factor to determine treatment steps.</p>
      <p>Cardiac conditions are associated with increased inflammatory burden.<sup><xref ref-type="bibr" rid="B4">4</xref></sup> Similarly, hemogram-derived markers are considered inexpensive and reliable markers of inflammation in various inflammatory conditions such as cancer, hepatosteatosis, irritable bowel disease, pancreatitis, and thyroiditis.<sup><xref ref-type="bibr" rid="B4">4</xref>-<xref ref-type="bibr" rid="B9">9</xref></sup> Complete blood count is one of the basic tests used in routine clinical practice in coronary artery patients. The prognostic importance of complete blood count parameters (neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, mean platelet volume, and neutrophil/monocyte) in coronary artery disease (CAD) has been demonstrated in many studies.<sup><xref ref-type="bibr" rid="B10">10</xref>-<xref ref-type="bibr" rid="B12">12</xref></sup> Hemoglobin (Hb) is generally used to define anemia along with other parameters such as hematocrit. However, recent works suggest that Hb is also a predictor of hospital admission of subjects with chronic diseases. Thus, studying these markers in cardiac diseases makes sense.<sup><xref ref-type="bibr" rid="B13">13</xref></sup> It is known that low Hb levels in the follow-up after acute myocardial infarction (AMI) and percutaneous coronary intervention (PCI) adversely affect the prognosis. Although there are many studies investigating the relationship between Hb level and adverse cardiovascular outcomes, the level of Hb that causes poor prognosis has not been identified.<sup><xref ref-type="bibr" rid="B14">14</xref>-<xref ref-type="bibr" rid="B15">15</xref></sup> Red cell distribution width (RDW), which is an indicator of anisocytosis, is another blood parameter. RDW has been particularly linked with inflammatory diseases, including functional bowel conditions, autoimmune diseases, rheumatoid arthritis, degenerative vertebral conditions, malignancy, autoimmune hepatitis, and even COVID-19.<sup><xref ref-type="bibr" rid="B16">16</xref>-<xref ref-type="bibr" rid="B22">22</xref></sup> In many studies, it has been shown that increased RDW level negatively affects the prognosis of cardiovascular diseases (CVD) and HF.<sup><xref ref-type="bibr" rid="B23">23</xref>-<xref ref-type="bibr" rid="B24">24</xref></sup></p>
      <p>Although the prognostic importance of both Hb and RDW has been proven in CVD and HF, studies on Hb/RDW ratio are limited. In this study, we aimed to investigate the relationship between major adverse cardiac events (MACE) and Hb/RDW in long-term follow-up after AMI.</p>
    </sec>
    <sec sec-type="materials|methods">
      <title>Materials and methods</title>
      <sec>
        <title>Study Population</title>
        <p>Our study is retrospective and observational. Patients who underwent coronary angiography (CAG) in our clinic with the diagnosis of AMI in the last five years were screened consecutively. Demographic characteristics, laboratory values, CAG findings of the patients, and long-term follow-up data were obtained from the computerized database. Patients were included according to the principles of the 4<sup>th</sup> universal definition of AMI, as defined by the European Society of Cardiology (ESC).<sup><xref ref-type="bibr" rid="B25">25</xref></sup> A total of 1,146 patients were included. The patients were divided into two groups. ST segment elevation myocardial infarction (STEMI) (423 patients) and Non-ST segment elevation myocardial infarction (NSTEMI) (723 patients). Patients were classified according to the type of treatment after CAG (group 1: percutaneous transluminal coronary angioplasty (PTCA) and stent implantation, group 2: stent implantation, group 3: PTCA, group 4: medical follow-up, group 5: coronary artery bypass graft). Disseminated infection, major surgery, bleeding, aortic dissection, myocarditis, cardiomyopathy, acute pulmonary embolism, and stroke were excluded. In addition, patients with missing data, those with only medical follow-up, and those with missing long-term follow-up were not included. Our study complies with the principles of the Declaration of Helsinki. Local ethics committee approved the study protocol.</p>
      </sec>
      <sec>
        <title>Laboratory Parameters</title>
        <p>Hemogram and biochemical parameters were studied from fresh blood samples taken after overnight fasting. Glucose was measured in plasma. Other parameters were studied in serum. Triglyceride, complete blood cell count, renal function panel, total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and C-reactive protein (CRP) levels were measured. We calculated the Hb/RDW ratio in all patients.</p>
      </sec>
      <sec>
        <title>CAG</title>
        <p>CAG was performed via the femoral or radial artery, depending on the operator's experience. A routine Judkins catheter was used in the diagnostic CAG. The left main coronary artery (LMCA), left anterior descending (LAD), and left circumflex artery (LCX) were evaluated from the left caudal, right caudal, left cranial, right cranial, and antero-posterior cranio-caudal poses. The right coronary artery (RCA) was evaluated in the left anterior oblique and left cranial poses. According to the results of the CAG, stenosis of &#8805; 50% for the LMCA and &#8805; 70% for other epicardial vessels was considered to be an obstructive-severe CAD. After diagnostic CAG, medical follow-up, PCI, and coronary bypass graft decisions were made according to ESC guidelines. The patients were given dual antiaggregants (acetyl salicylic acid and ticagrelor or prasugrel or clopidogrel) for one year. Compliance with medical treatment was standardized during follow-up. MACE during follow-up was recorded.</p>
      </sec>
      <sec>
        <title>Primary endpoint</title>
        <p>Our aim was to investigate the relationship between MACE and Hb/RDW ratio in AMI patients at 60-month follow-up. MACE was defined as all-cause death, non-fatal recurrent myocardial infarction (RMI), and recurrent target vessel revascularization (R-TVR). We examined the association of MACE and Hb/RDW in all AMI patients and subgroups (STEMI and NSTEMI groups).</p>
      </sec>
      <sec>
        <title>Statistical analysis</title>
        <p>Statistical analyses of the study were performed with the SPSS 20.0 (IBM Inc, Chicago, IL, USA) program. Descriptive statistics are mean &#177; standard deviation (SD) for continuous data, presented as absolute and relative frequencies for categorical data. The Kolmogorov-Smirnov test analyzed the conformity of continuous variables to normal distribution. <bold>The Mann-Whitney U test was used to compare groups that did not show normal distribution. Continuous variables with normal distribution were defined using mean &#177; SD. "Continuous variables that were not normally distributed were defined using the median and interquartile range.</bold> The diagnostic ratios were calculated by applying ROC analysis to determine the diagnostic feature of the Hb/RDW ratio. A chi-square analysis was used to determine the relationships between categorical variables. A p &lt; 0.05 value was considered statistically significant for a type-I error rate of 5% in all analyses.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>The study was completed with 1,146 ACS patients, 68.8% of them being male and 63.1% were NSTEMI. The most common comorbidities were hyperlipidemia (HL) (56.8%) and hypertension (HT) (53.9%) (<xref ref-type="table" rid="t1">Table 1</xref>). The mean age of the patients was 68.21 &#177; 12.31 years (29-96). The mean time for R-MI was calculated as 211.5 &#177; 355.2 days (0-1564) (<xref ref-type="table" rid="t2">Table 2</xref>). When the patients were examined according to the treatment type, PTCA and stent implantation were performed in 77.4%, medical follow-up was given in 5.2%, and CABG was decided in 15.5% (<xref ref-type="table" rid="t1">Table 1</xref>). Mortality was 15.9%, while R-TRV was 4.9% in long-term follow-up (<xref ref-type="table" rid="t1">Table 1</xref>). The mean Hb of the patients was 13.78 &#177; 1.76 g/dL, and the mean RDW was 14.89 &#177; 1.78%. The mean value of the Hb/RDW ratio was calculated as 0.938 &#177; 0.162 (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
      <p>
        <table-wrap id="t1">
          <label>Table 1</label>
          <caption>
            <title>&#8211; Demographic characteristics of patients</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left" style="font-weight:normal"> </th>
                <th align="left" style="font-weight:normal"> </th>
                <th>STEMI (n%)</th>
                <th>NSTEMI (n%)</th>
                <th>TOTAL</th>
                <th>P value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td rowspan="2">GENDER</td>
                <td>Male</td>
                <td align="center">321 (75.9%)</td>
                <td align="center">468 (64.7%)</td>
                <td align="center">789 (68.8%)</td>
                <td align="center" rowspan="2">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>Female</td>
                <td align="center">102 (24.1%)</td>
                <td align="center">255 (35.3%)</td>
                <td align="center">357 (32.2%)</td>
              </tr>
              <tr>
                <td rowspan="2">SMOKING</td>
                <td>No</td>
                <td align="center">307 (72.6%)</td>
                <td align="center">616 (85.2%)</td>
                <td align="center">923 (80.5%)</td>
                <td align="center" rowspan="2">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>Yes</td>
                <td align="center">116 (27.4%)</td>
                <td align="center">107 (14.8%)</td>
                <td align="center">223 (19.5%)</td>
              </tr>
              <tr>
                <td rowspan="2">HT</td>
                <td>No</td>
                <td align="center">222 (52.5%)</td>
                <td align="center">306 (42.3%)</td>
                <td align="center">528 (46.1%)</td>
                <td align="center" rowspan="2">
                  <bold>0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>Yes</td>
                <td align="center">201 (47.5%)</td>
                <td align="center">417 (57.7%)</td>
                <td align="center">618 (53.9%)</td>
              </tr>
              <tr>
                <td rowspan="2">DM</td>
                <td>No</td>
                <td align="center">319 (75.4%)</td>
                <td align="center">501 (69.3%)</td>
                <td align="center">820 (71.6%)</td>
                <td align="center" rowspan="2">
                  <bold>0.027*</bold>
                </td>
              </tr>
              <tr>
                <td>Yes</td>
                <td align="center">104 (24.6%)</td>
                <td align="center">222 (30.7%)</td>
                <td align="center">326 (28.4%)</td>
              </tr>
              <tr>
                <td rowspan="2">CAD</td>
                <td>No</td>
                <td align="center">385 (91.0%)</td>
                <td align="center">567 (78.4%)</td>
                <td align="center">952 (83.1%)</td>
                <td align="center" rowspan="2">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>Yes</td>
                <td align="center">38 (9.0%)</td>
                <td align="center">156 (21.6%)</td>
                <td align="center">194 (16.9%)</td>
              </tr>
              <tr>
                <td rowspan="2">HL</td>
                <td>No</td>
                <td align="center">173 (40.9%)</td>
                <td align="center">322 (44.5%)</td>
                <td align="center">495 (43.2%)</td>
                <td align="center" rowspan="2">0.230</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td align="center">250 (59.1%)</td>
                <td align="center">401 (55.5%)</td>
                <td align="center">651 (56.8%)</td>
              </tr>
              <tr>
                <td rowspan="2">HF</td>
                <td>No</td>
                <td align="center">421 (99.5%)</td>
                <td align="center">717 (99.2%)</td>
                <td align="center">1138 (99.3%)</td>
                <td align="center" rowspan="2">0.484</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td align="center">2 (0.5%)</td>
                <td align="center">6 (0.8%)</td>
                <td align="center">8 (0.7%)</td>
              </tr>
              <tr>
                <td rowspan="2">CRF</td>
                <td>No</td>
                <td align="center">414 (97.9%)</td>
                <td align="center">714 (98.8%)</td>
                <td align="center">1128 (98.4%)</td>
                <td align="center" rowspan="2">0.246</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td align="center">9 (2.1%)</td>
                <td align="center">9 (2.1%)</td>
                <td align="center">18 (1.6%)</td>
              </tr>
              <tr>
                <td rowspan="5">TREATMENT</td>
                <td>PTCA+ SI</td>
                <td align="center">389 (92.6%)</td>
                <td align="center">496 (68.6%)</td>
                <td align="center">885 (77.2%)</td>
                <td align="center" rowspan="5">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>SI</td>
                <td align="center">5 (1.2%)</td>
                <td align="center">8 (1.1%)</td>
                <td align="center">13 (1.1%)</td>
              </tr>
              <tr>
                <td>PTCA</td>
                <td align="center">1 (0.2%)</td>
                <td align="center">7 (1.0%)</td>
                <td align="center">8 (0.7%)</td>
              </tr>
              <tr>
                <td>MEDICAL</td>
                <td align="center">10 (2.4%)</td>
                <td align="center">50 (6.9%)</td>
                <td align="center">60 (5.2%)</td>
              </tr>
              <tr>
                <td>CABG</td>
                <td align="center">15 (3.6%)</td>
                <td align="center">162 (22.4%)</td>
                <td align="center">177 (15.4%)</td>
              </tr>
              <tr>
                <td rowspan="2">LONG TERM EX</td>
                <td>No</td>
                <td align="center">351 (83.0%)</td>
                <td align="center">613 (84.8%)</td>
                <td align="center">964 (84.1%)</td>
                <td align="center" rowspan="2">0.419</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td align="center">72 (17.0%)</td>
                <td align="center">110 (15.2%)</td>
                <td align="center">182 (15.9%)</td>
              </tr>
              <tr>
                <td rowspan="2">LONG TERM RMI</td>
                <td>No</td>
                <td align="center">399 (94.3%)</td>
                <td align="center">691 (95.6%)</td>
                <td align="center">1090 (95.1%)</td>
                <td align="center" rowspan="2">0.344</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td align="center">24 (5.7%)</td>
                <td align="center">32 (4.4%)</td>
                <td align="center">56 (4.9%)</td>
              </tr>
              <tr>
                <td rowspan="2">LONG TERM R-TRV</td>
                <td>No</td>
                <td align="center">396 (93.6%)</td>
                <td align="center">694 (96.0%)</td>
                <td align="center">1090 (95.1%)</td>
                <td align="center">0.072</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td align="center">27 (6.4%)</td>
                <td align="center">29 (4.0%)</td>
                <td align="center">56 (4.9%)</td>
                <td> </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN1">
              <p>Categorical variables were summarized as frequency and percentages. HT: Hypertension; DM: Diabetes Mellitus; CAD: Coronary Artery Disease; HL: Hyperlipidemia; HF: Heart Failure; CRF: Chronic Renal Failure; PTCA: Percutaneous Transluminal Coronary Angioplasty; SI: Stent Implantation; CABG: Coronary Artery Bypass Graft; RMI: Recurrent Myocardial Infarction; R-TRV: Recurrent Target Vessel Revascularization; STEMI: ST segment elevation myocardial infarction; NSTEMI: Non-ST segment elevation myocardial infarction.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>
        <table-wrap id="t2">
          <label>Table 2</label>
          <caption>
            <title>&#8211; Biochemical characteristics of patients according to Myocardial Infarction types</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">VARIABLES</th>
                <th>STEMI (mean &#177; SD)</th>
                <th>NSTEMI (mean &#177; SD) </th>
                <th>TOTAL (mean &#177; SD)</th>
                <th>P value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Follow-up time (day)</td>
                <td align="center">199.54 &#177; 336.52</td>
                <td align="center">219.5 &#177; 368.05</td>
                <td align="center">211.5 &#177; 355.2</td>
                <td align="center">0.663</td>
              </tr>
              <tr>
                <td>Age (years)</td>
                <td align="center">67.67 &#177; 12.61</td>
                <td align="center">68.53 &#177; 12.13</td>
                <td align="center">68.21 &#177; 12.31</td>
                <td align="center">0.257</td>
              </tr>
              <tr>
                <td>WBC (&#181;l/ml)</td>
                <td align="center">10.53 &#177; 3.35</td>
                <td align="center">9.43 &#177; 2.92</td>
                <td align="center">9.84 &#177; 3.13</td>
                <td align="center">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>HB (g/dL)</td>
                <td align="center">13.92 &#177; 1.74</td>
                <td align="center">13.71 &#177; 1.78</td>
                <td align="center">13.79 &#177; 1.77</td>
                <td align="center">0.059</td>
              </tr>
              <tr>
                <td>RDW (%)</td>
                <td align="center">14.82 &#177; 1.61</td>
                <td align="center">14.95 &#177; 1.88</td>
                <td align="center">14.9 &#177; 1.78</td>
                <td align="center">0.225</td>
              </tr>
              <tr>
                <td>Neutrophil (10^3/L)</td>
                <td align="center">7.82 &#177; 9.7</td>
                <td align="center">6.77 &#177; 11.58</td>
                <td align="center">7.16 &#177; 10.93</td>
                <td align="center">0.115</td>
              </tr>
              <tr>
                <td>Lymphocyte (10^3/L)</td>
                <td align="center">2.43 &#177; 1.23</td>
                <td align="center">2.38 &#177; 1.05</td>
                <td align="center">2.4 &#177; 1.12</td>
                <td align="center">0.470</td>
              </tr>
              <tr>
                <td>Platelet (10^3/L)</td>
                <td align="center">231.37 &#177; 73.28</td>
                <td align="center">226.69 &#177; 63.41</td>
                <td align="center">228.42 &#177; 67.23</td>
                <td align="center">0.255</td>
              </tr>
              <tr>
                <td>Glucose (mg/dL)</td>
                <td align="center">127.75 &#177; 40.29</td>
                <td align="center">142.12 &#177; 57.15</td>
                <td align="center">135.49 &#177; 50.29</td>
                <td align="center">0.210</td>
              </tr>
              <tr>
                <td>Triglyceride (mg/dL)</td>
                <td align="center">160.42 &#177; 107.11</td>
                <td align="center">153.95 &#177; 78.58</td>
                <td align="center">156.9 &#177; 92.1</td>
                <td align="center">0.758</td>
              </tr>
              <tr>
                <td>TC (mg/dL)</td>
                <td align="center">202.78 &#177; 48.42</td>
                <td align="center">204.94 &#177; 56.74</td>
                <td align="center">204.3 &#177; 54.33</td>
                <td align="center">0.800</td>
              </tr>
              <tr>
                <td>HbA1c (mmol/mol<bold>)</bold></td>
                <td align="center">6.12 &#177; 1.34</td>
                <td align="center">6.48 &#177; 1.2</td>
                <td align="center">6.31 &#177; 1.27</td>
                <td align="center">0.255</td>
              </tr>
              <tr>
                <td>LDL (mg/dL)</td>
                <td align="center">115.84 &#177; 37.75</td>
                <td align="center">115.74 &#177; 38.27</td>
                <td align="center">115.78 &#177; 38.06</td>
                <td align="center">0.965</td>
              </tr>
              <tr>
                <td>Creatine (mg/dL)</td>
                <td align="center">1.06 &#177; 0.4</td>
                <td align="center">1.19 &#177; 5.31</td>
                <td align="center">1.14 &#177; 4.22</td>
                <td align="center">0.618</td>
              </tr>
              <tr>
                <td>CRP (mg/L)</td>
                <td align="center">14.68 &#177; 24.45</td>
                <td align="center">12.68 &#177; 22.29</td>
                <td align="center">13.42 &#177; 23.12</td>
                <td align="center">0.159</td>
              </tr>
              <tr>
                <td>Hb/RDW</td>
                <td align="center">0.95 &#177; 0.16</td>
                <td align="center">0.93 &#177; 0.16</td>
                <td align="center">0.94 &#177; 0.16</td>
                <td align="center">
                  <bold>0.038*</bold>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN2">
              <p>*p &lt; 0.05 statistically significant difference; Continuous variables were summarized as mean &#177; SD. WBC: White Blood Cell; HB: Hemogram; RDW: Red Cell Distribution Width; TC: Total Cholesterol; HbA1c: Glycated Hemoglobin; LDL: Low-density Lipoprotein; CRP: C-reactive Protein; STEMI: ST segment elevation myocardial infarction; NSTEMI: Non-ST segment elevation myocardial infarction; Hb: Hemoglobin; SD: standard deviation.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>When the patients were analyzed according to MI types (STEMI/NSTEMI), it was observed that both WBC and Hb/RDW were significantly higher in the STEMI group. Hb values were found to be significantly lower in patients with ex (12.82 &#177; 1.59 gr/dL). Similarly, while the Hb/RDW ratio was 0.951 &#177; 0.162 in survivors, it decreased significantly to 0.865 &#177; 0.143 in ex-patients (<xref ref-type="table" rid="t3">Table 3</xref>).</p>
      <p>
        <table-wrap id="t3">
          <label>Table 3</label>
          <caption>
            <title>&#8211; Biochemistry measurements of patients according to mortality status</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left" colspan="4">LONG-TERM MORTAL&#304;TY</th>
              </tr>
              <tr>
                <th align="left">VARIABLES</th>
                <th>NO (mean &#177; SD)</th>
                <th>YES (mean &#177; SD)</th>
                <th>P value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Follow-up time (day)</td>
                <td align="center">325.36 &#177; 376.92</td>
                <td align="center">167.71 &#177; 337.43</td>
                <td align="center">
                  <bold>0.003*</bold>
                </td>
              </tr>
              <tr>
                <td>Age (years)</td>
                <td align="center">66.35 &#177; 11.8</td>
                <td align="center">78.08 &#177; 10.09</td>
                <td align="center">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>WBC (&#181;l/ml)</td>
                <td align="center">9.3 &#177; 2.57</td>
                <td align="center">12.66 &#177; 4.15</td>
                <td align="center">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>HB (g/dL)</td>
                <td align="center">13.97 &#177; 1.74</td>
                <td align="center">12.82 &#177; 1.6</td>
                <td align="center">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>RDW (%)</td>
                <td align="center">14.88 &#177; 1.79</td>
                <td align="center">15 &#177; 1.76</td>
                <td align="center">0.428</td>
              </tr>
              <tr>
                <td>Neutrophil (10^3/L)</td>
                <td align="center">6.58 &#177; 11.72</td>
                <td align="center">10.2 &#177; 3.8</td>
                <td align="center">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>Lymphocyte (10^3/L)</td>
                <td align="center">2.53 &#177; 1.12</td>
                <td align="center">1.71 &#177; 0.85</td>
                <td align="center">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>Platelet (10^3/L)</td>
                <td align="center">225.96 &#177; 63.66</td>
                <td align="center">241.39 &#177; 82.62</td>
                <td align="center">0.018*</td>
              </tr>
              <tr>
                <td>Glucose (mg/dL)</td>
                <td align="center">127.6 &#177; 47.09</td>
                <td align="center">161.78 &#177; 52.98</td>
                <td align="center">
                  <bold>0.021*</bold>
                </td>
              </tr>
              <tr>
                <td>Triglyceride (mg/dL)</td>
                <td align="center">159.95 &#177; 95.58</td>
                <td align="center">146.56 &#177; 80.8</td>
                <td align="center">0.591</td>
              </tr>
              <tr>
                <td>TC (mg/dL)</td>
                <td align="center">211.97 &#177; 47.01</td>
                <td align="center">161.37 &#177; 71.23</td>
                <td align="center">
                  <bold>0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>HbA1c (mmol/mol<bold>)</bold></td>
                <td align="center">6.29 &#177; 1.11</td>
                <td align="center">6.39 &#177; 1.74</td>
                <td align="center">0.780</td>
              </tr>
              <tr>
                <td>LDL (mg/dL)</td>
                <td align="center">117.62 &#177; 37.69</td>
                <td align="center">105.81 &#177; 38.66</td>
                <td align="center">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>Creatine (mg/dL)</td>
                <td align="center">1.12 &#177; 4.59</td>
                <td align="center">1.24 &#177; 0.52</td>
                <td align="center">0.728</td>
              </tr>
              <tr>
                <td>CRP (mg/L)</td>
                <td align="center">11.29 &#177; 19.69</td>
                <td align="center">24.69 &#177; 34.19</td>
                <td align="center">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>HB/RDW RATIO</td>
                <td align="center">0.95 &#177; 0.16</td>
                <td align="center">0.87 &#177; 0.14</td>
                <td align="center">&lt; 0.001*</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN3">
              <p>*p &lt; 0.05 statistically significant difference; Continuous variables were summarized as mean &#177; SD. WBC: White Blood Cell; HB: Hemogram; RDW: Red Cell Distribution Width; TC: Total Cholesterol; HbA1c: Glycated Hemoglobin; LDL: Low-density Lipoprotein; CRP: C-reactive Protein; SD: standard deviation.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>The Hb/RDW ratio according to MI types was not sufficiently significant for the STEMI patient group. However, the Hb/RDW ratio was statistically significant in predicting mortality. As a result of ROC analysis, <bold>AUC = 0.654 (p &lt; 0.001)</bold> was found. The cut-off value for the Hb/RDW ratio was calculated as <bold>0.947</bold>. The sensitivity and specificity of 76.9% and 48.4% for the diagnostic rates obtained were moderately acceptable (<xref ref-type="fig" rid="f02">Figure 1</xref>). The Hb/RDW ratio was not significant in predicting R-MI and R-TVR (<xref ref-type="table" rid="t4">Table 4</xref> and <xref ref-type="table" rid="t5">5</xref>).</p>
      <p>
        <fig id="f02">
          <label>Figure 1</label>
          <caption>
            <title>&#8211; ROC analysis of Hb/RDW ratio for mortality. The cut-off value for the Hb/RDW ratio was calculated as 0.947. Sensitivity and specificity levels were at 76.9% and 48.4%, respectively. Diagonal segments are produced by ties.</title>
          </caption>
          <attrib>ROC: Receiver Operating Characteristic Curve</attrib>
          <graphic xlink:href="2359-5647-ijcs-37-e20230099-30099-gf01.tif"/></fig>
      </p>
      <p>
        <table-wrap id="t4">
          <label>Table 4</label>
          <caption>
            <title>&#8211; Biochemistry measurements of patients according to target vessel revascularization status</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left" colspan="4">Target Vessel Revascularization In Long-Term Follow-Up</th>
              </tr>
              <tr>
                <th align="left">VARIABLES</th>
                <th>NO (mean &#177; SD)</th>
                <th>YES (mean &#177; SD)</th>
                <th>P value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Follow-up time (day)</td>
                <td align="center">189.92 &#177; 359.48</td>
                <td align="center">296.55 &#177; 327.41</td>
                <td align="center">0.055</td>
              </tr>
              <tr>
                <td>Age (years)</td>
                <td align="center">68.17 &#177; 12.32</td>
                <td align="center">69.02 &#177; 12.14</td>
                <td align="center">0.615</td>
              </tr>
              <tr>
                <td>WBC (&#181;l/ml)</td>
                <td align="center">9.76 &#177; 3.09</td>
                <td align="center">11.36 &#177; 3.46</td>
                <td align="center">
                  <bold>0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>HB (g/dL)</td>
                <td align="center">13.78 &#177; 1.77</td>
                <td align="center">13.94 &#177; 1.71</td>
                <td align="center">0.510</td>
              </tr>
              <tr>
                <td>RDW (%)</td>
                <td align="center">14.89 &#177; 1.77</td>
                <td align="center">15.02 &#177; 1.97</td>
                <td align="center">0.602</td>
              </tr>
              <tr>
                <td>Neutrophil (10^3/L)</td>
                <td align="center">6.9 &#177; 9.6</td>
                <td align="center">12.2 &#177; 25.19</td>
                <td align="center">0.122</td>
              </tr>
              <tr>
                <td>Lymphocyte (10^3/L)</td>
                <td align="center">2.42 &#177; 1.1</td>
                <td align="center">2 &#177; 1.44</td>
                <td align="center">
                  <bold>0.036*</bold>
                </td>
              </tr>
              <tr>
                <td>Platelet (10^3/L)</td>
                <td align="center">228.34 &#177; 67.35</td>
                <td align="center">229.86 &#177; 65.54</td>
                <td align="center">0.870</td>
              </tr>
              <tr>
                <td>Glucose (mg/dL)</td>
                <td align="center">132.34 &#177; 47.71</td>
                <td align="center">149.86 &#177; 60.63</td>
                <td align="center">0.240</td>
              </tr>
              <tr>
                <td>Triglyceride (mg/dL)</td>
                <td align="center">150.91 &#177; 96.32</td>
                <td align="center">184.71 &#177; 64.9</td>
                <td align="center">0.215</td>
              </tr>
              <tr>
                <td>TC (mg/dL)</td>
                <td align="center">204.58 &#177; 54.87</td>
                <td align="center">196.86 &#177; 38.7</td>
                <td align="center">0.713</td>
              </tr>
              <tr>
                <td>HbA1c (mmol/mol<bold>)</bold></td>
                <td align="center">6.32 &#177; 1.3</td>
                <td align="center">6.26 &#177; 1.17</td>
                <td align="center">0.872</td>
              </tr>
              <tr>
                <td>LDL (mg/dL)</td>
                <td align="center">116.5 &#177; 38.24</td>
                <td align="center">102.05 &#177; 31.9</td>
                <td align="center">
                  <bold>0.002*</bold>
                </td>
              </tr>
              <tr>
                <td>Creatine (mg/dL)</td>
                <td align="center">1.15 &#177; 4.32</td>
                <td align="center">0.99 &#177; 0.44</td>
                <td align="center">0.786</td>
              </tr>
              <tr>
                <td>CRP (mg/L)</td>
                <td align="center">13.33 &#177; 23.15</td>
                <td align="center">15.21 &#177; 22.66</td>
                <td align="center">0.554</td>
              </tr>
              <tr>
                <td>HB/RDW RATIO</td>
                <td align="center">0.94 &#177; 0.16</td>
                <td align="center">0.94 &#177; 0.16</td>
                <td align="center">0.850</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN4">
              <p>*p &lt; 0.05 statistically significant difference; Continuous variables were summarized as mean &#177; SD. WBC: White Blood Cell; HB: Hemogram; RDW: Red Cell Distribution Width; TC: Total Cholesterol; HbA1c: Glycated Hemoglobin; LDL: Low-density Lipoprotein; CRP: C-reactive protein; SD: standard deviation.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>
        <table-wrap id="t5">
          <label>Table 5</label>
          <caption>
            <title>&#8211; Biochemistry measurements of patients according to RMI status</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left" colspan="4">RMI in Long-Term Follow-up</th>
              </tr>
              <tr>
                <th align="left">VARIABLES</th>
                <th>NO (mean &#177; SD)</th>
                <th>YES (mean &#177; SD)</th>
                <th>P value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Follow-up time (day)</td>
                <td align="center">184.65 &#177; 350.79</td>
                <td align="center">314.77 &#177; 356.47</td>
                <td align="center">
                  <bold>0.021*</bold>
                </td>
              </tr>
              <tr>
                <td>Age (years)</td>
                <td align="center">68.15 &#177; 12.3</td>
                <td align="center">69.39 &#177; 12.51</td>
                <td align="center">0.461</td>
              </tr>
              <tr>
                <td>WBC (&#181;l/ml)</td>
                <td align="center">9.74 &#177; 3.09</td>
                <td align="center">11.74 &#177; 3.25</td>
                <td align="center">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>HB (g/dL)</td>
                <td align="center">13.8 &#177; 1.78</td>
                <td align="center">13.62 &#177; 1.58</td>
                <td align="center">0.467</td>
              </tr>
              <tr>
                <td>RDW (%)</td>
                <td align="center">14.9 &#177; 1.77</td>
                <td align="center">14.89 &#177; 1.97</td>
                <td align="center">0.964</td>
              </tr>
              <tr>
                <td>Neutrophil (10^3/L)</td>
                <td align="center">7.05 &#177; 11.18</td>
                <td align="center">9.27 &#177; 2.8</td>
                <td align="center">0.138</td>
              </tr>
              <tr>
                <td>Lymphocyte (10^3/L)</td>
                <td align="center">2.43 &#177; 1.12</td>
                <td align="center">1.81 &#177; 0.99</td>
                <td align="center">
                  <bold>&lt; 0.001*</bold>
                </td>
              </tr>
              <tr>
                <td>Platelet (10^3/L)</td>
                <td align="center">228.42 &#177; 67.33</td>
                <td align="center">228.3 &#177; 66</td>
                <td align="center">0.990</td>
              </tr>
              <tr>
                <td>Glucose ( mg/dL)</td>
                <td align="center">133.44 &#177; 47.5</td>
                <td align="center">146.75 &#177; 64.86</td>
                <td align="center">0.403</td>
              </tr>
              <tr>
                <td>Triglyceride (mg/dL)</td>
                <td align="center">151.88 &#177; 96.26</td>
                <td align="center">184.92 &#177; 59.51</td>
                <td align="center">0.255</td>
              </tr>
              <tr>
                <td>TC (mg/dL)</td>
                <td align="center">204.6 &#177; 54.91</td>
                <td align="center">198.8 &#177; 43.77</td>
                <td align="center">0.743</td>
              </tr>
              <tr>
                <td>HbA1c (mmol/mol<bold>)</bold></td>
                <td align="center">6.3 &#177; 1.26</td>
                <td align="center">6.39 &#177; 1.34</td>
                <td align="center">0.835</td>
              </tr>
              <tr>
                <td>LDL (mg/dL)</td>
                <td align="center">116.35 &#177; 38.18</td>
                <td align="center">104.82 &#177; 34.38</td>
                <td align="center">
                  <bold>0.018*</bold>
                </td>
              </tr>
              <tr>
                <td>Creatine (mg/dL)</td>
                <td align="center">1.15 &#177; 4.32</td>
                <td align="center">1.03 &#177; 0.44</td>
                <td align="center">0.837</td>
              </tr>
              <tr>
                <td>CRP (mg/L)</td>
                <td align="center">13.4 &#177; 23.38</td>
                <td align="center">13.85 &#177; 17.67</td>
                <td align="center">0.887</td>
              </tr>
              <tr>
                <td>HB/RDW RATIO</td>
                <td align="center">0.94 &#177; 0.16</td>
                <td align="center">0.93 &#177; 0.15</td>
                <td align="center">0.646</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN5">
              <p>*p &lt; 0.05 statistically significant difference; Continuous variables were summarized as mean &#177; SD. WBC: White Blood Cell; HB: Hemogram; RDW: Red Cell Distribution Width; TC: Total Cholesterol; HbA1c: Glycated Hemoglobin; LDL: Low-density Lipoprotein; CRP: C-reactive Protein; RMI: recurrent myocardial infarction.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>In our study, we investigated the relationship between MACE and Hb/RDW in the long-term follow-up of patients who underwent CAG for STEMI and NSTEMI. Our average follow-up was 60 months. The Hb/RDW ratio was lower only in the mortality group. ROC analysis also showed that low Hb/RDW has a high predictive value for MACE in both NSTEMI and STEMI patients. However, no statistically significant correlation was found for R-MI and R-TRV.</p>
      <p>Hb is a protein that carries oxygen to the tissues and carbon dioxide from the tissues to the lungs.<sup><xref ref-type="bibr" rid="B26">26</xref></sup> A low Hb level is called anemia.<sup><xref ref-type="bibr" rid="B26">26</xref></sup> As a result of acute or chronic anemia, the amount of oxygen carried to the tissues decreases. Hb has an important prognostic significance in CVD.<sup><xref ref-type="bibr" rid="B27">27</xref></sup> AMI may develop as myocardial oxygen demand-delivery balance will be disrupted after acute anemia.<sup><xref ref-type="bibr" rid="B28">28</xref></sup> The hemodynamic changes that occur with chronic anemia cause eccentric left ventricular hypertrophy (LVH) and left ventricular dilatation (LVD).<sup><xref ref-type="bibr" rid="B29">29</xref></sup> Increased LVH and LVD cause HF in the future.<sup><xref ref-type="bibr" rid="B29">29</xref></sup> In the TIME study, which examined the relationship between anemia and major cardiovascular events, patients were followed for an average of four years for cardiovascular death, non-fatal MI, and hospitalization for CAD. As a result of the study, a 1 g/dl reduction in Hb was associated with a significantly increased risk of cardiovascular death and MACE.<sup><xref ref-type="bibr" rid="B30">30</xref></sup> In another study, which included 6,116 patients who underwent PCI, it was found that as the severity of anemia increased, the MACE rate increased, and the one-year survival rate decreased.<sup><xref ref-type="bibr" rid="B31">31</xref></sup></p>
      <p>Additionally, there are many studies investigating the relationship between Hb -derived markers and CAD. In a study conducted in 2020 with 290 unstable angina pectoris (UAP), STEMI, and NSTEMI patients, the relationship between MI groups and eosinophil levels was examined. An inverse relationship between blood eosinophil count and severity of ACS subgroups in elderly patients was found; this number was higher in the UAP than in the MI groups.<sup><xref ref-type="bibr" rid="B32">32</xref></sup> In another study aiming to compare hemogram parameter values in patients with sufficient or inadequate coronary collateral development (CCD) presenting with NSTEMI, it has been shown that platelet distribution width may be a marker of CCD in NSTEMI patients.<sup><xref ref-type="bibr" rid="B33">33</xref></sup> In our study, we also found a lower Hb value in the group with mortality.</p>
      <p>RDW width is formulated with a SD of (red blood cell volume/mean cell volume) &#215; 100.<sup><xref ref-type="bibr" rid="B34">34</xref></sup> It is a parameter measured in a CBC. It represents anisocytosis. Felker et al. investigated its role in CVD for the first time.<sup><xref ref-type="bibr" rid="B35">35</xref></sup> Many similar studies have been published since then.<sup><xref ref-type="bibr" rid="B36">36</xref>-<xref ref-type="bibr" rid="B38">38</xref></sup> Tonelli et al. showed that increased RDW level is a risk factor for stroke, HF, and recurrent AMI in patients with CAD.<sup><xref ref-type="bibr" rid="B39">39</xref></sup> In another study, in-hospital and long-term mortality after AMI was found to be correlated with RDW levels.<sup><xref ref-type="bibr" rid="B40">40</xref></sup> Lippi et al. observed that RDW has a diagnostic value in patients followed in the intensive care unit with the suspicion of AMI.<sup><xref ref-type="bibr" rid="B41">41</xref></sup> Our findings were higher in the group with mortality, as in the literature.</p>
      <p>Although the prognostic significance of RDW and Hb after AMI has been reported separately in many studies, the prognostic significance of Hb/RDW in this patient group is unclear. Our study is the first study to investigate the prognostic significance of Hb/RDW in post-AMI long-term follow-up. There is only one study in the literature investigating the prognostic significance of Hb/RDW in CVD. In this study, which was published in 2022 and included 6,888 HF patients, Hb/RDW was found to be an important prognostic tool in predicting HF mortality and cardiovascular hospitalization.<sup><xref ref-type="bibr" rid="B42">42</xref></sup> In our study, we observed that the incidence of MACE increased as the Hb/RDW ratio decreased. Considering that the prognostic significance of Hb and RDW is shown separately in many CAD and HF studies, the result obtained from our study may not be striking. However, Hb and RDW can be affected by nutrition, infection, and other factors. Hb/RDW can minimize potential bias. It can be used as a more reliable diagnostic parameter than Hb and RDW. Finally, Hb and RDW are both cost-effective and easy to apply, and they can be used frequently. We believe that this procedure will make a significant contribution to long-term mortality prediction.</p>
      <p>Our study has several limitations. The first is that it is single-centered and retrospective, because we cannot exclude factors that may affect the outcome, such as nutrition and autoimmune conditions. Second, we cannot generalize the results as it was performed in a small patient population. For this reason, our results should be supported by multicenter prospective studies with large participation.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusion</title>
      <p>In conclusion, our study is the first to investigate the predictor of Hb/RDW for MACE in long-term follow-up after AMI. The Hb/RDW long-term mortality relationship was found to be significant in ROC analysis. It can be used in clinical practice as it is cheap, easy to apply, and reduces possible bias in post-AMI follow-up.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <title>References</title>
      <ref id="B1">
        <label>1</label>
        <mixed-citation>1. Montalescot G, Sechtem U, Achenbach S, Andreotti F, Arden C, Budaj A, et al. 2013 ESC Guidelines on the Management of Stable Coronary Artery Disease: The Task Force on the Management of Stable Coronary Artery Disease of the European Society of Cardiology. Eur Heart J. 2013;34(38):2949-3003. doi: 10.1093/eurheartj/eht296.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Montalescot</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Sechtem</surname>
              <given-names>U</given-names>
            </name>
            <name>
              <surname>Achenbach</surname>
              <given-names>S</given-names>
            </name>
            <name>
              <surname>Andreotti</surname>
              <given-names>F</given-names>
            </name>
            <name>
              <surname>Arden</surname>
              <given-names>C</given-names>
            </name>
            <name>
              <surname>Budaj</surname>
              <given-names>A</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>2013 ESC Guidelines on the Management of Stable Coronary Artery Disease: The Task Force on the Management of Stable Coronary Artery Disease of the European Society of Cardiology</article-title>
          <source>Eur Heart J</source>
          <year>2013</year>
          <volume>34</volume>
          <issue>38</issue>
          <fpage>2949</fpage>
          <lpage>3003</lpage>
          <pub-id pub-id-type="doi">10.1093/eurheartj/eht296</pub-id>
        </element-citation>
      </ref>
      <ref id="B2">
        <label>2</label>
        <mixed-citation>2. Konigstein M, Giannini F, Banai S. The Reducer Device in Patients with Angina Pectoris: Mechanisms, Indications, and Perspectives. Eur Heart J. 2018;39(11):925-33. doi: 10.1093/eurheartj/ehx486.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Konigstein</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Giannini</surname>
              <given-names>F</given-names>
            </name>
            <name>
              <surname>Banai</surname>
              <given-names>S</given-names>
            </name>
          </person-group>
          <article-title>The Reducer Device in Patients with Angina Pectoris: Mechanisms, Indications, and Perspectives</article-title>
          <source>Eur Heart J</source>
          <year>2018</year>
          <volume>39</volume>
          <issue>11</issue>
          <fpage>925</fpage>
          <lpage>933</lpage>
          <issue-id pub-id-type="doi">10.1093/eurheartj/ehx486</issue-id>
        </element-citation>
      </ref>
      <ref id="B3">
        <label>3</label>
        <mixed-citation>3. Ho PM, Lambert-Kerzner A, Carey EP, Fahdi IE, Bryson CL, Melnyk SD, et al. Multifaceted Intervention to Improve Medication Adherence and Secondary Prevention Measures After Acute Coronary Syndrome Hospital Discharge: A Randomized Clinical Trial. JAMA Intern Med. 2014;174(2):186-93. doi: 10.1001/jamainternmed.2013.12944.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Ho</surname>
              <given-names>PM</given-names>
            </name>
            <name>
              <surname>Lambert-Kerzner</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Carey</surname>
              <given-names>EP</given-names>
            </name>
            <name>
              <surname>Fahdi</surname>
              <given-names>IE</given-names>
            </name>
            <name>
              <surname>Bryson</surname>
              <given-names>CL</given-names>
            </name>
            <name>
              <surname>Melnyk</surname>
              <given-names>SD</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Multifaceted Intervention to Improve Medication Adherence and Secondary Prevention Measures After Acute Coronary Syndrome Hospital Discharge: A Randomized Clinical Trial</article-title>
          <source>JAMA Intern Med</source>
          <year>2014</year>
          <volume>174</volume>
          <issue>2</issue>
          <fpage>186</fpage>
          <lpage>193</lpage>
          <pub-id pub-id-type="doi">10.1001/jamainternmed.2013.12944</pub-id>
        </element-citation>
      </ref>
      <ref id="B4">
        <label>4</label>
        <mixed-citation>4. Sincer I, Gunes Y, Mansiroglu AK, Cosgun M, Aktas G. Association of Mean Platelet Volume and Red Blood Cell Distribution Width with Coronary Collateral Development in Stable Coronary Artery Disease. Postepy Kardiol Interwencyjnej. 2018;14(3):263-9. doi: 10.5114/aic.2018.78329.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Sincer</surname>
              <given-names>I</given-names>
            </name>
            <name>
              <surname>Gunes</surname>
              <given-names>Y</given-names>
            </name>
            <name>
              <surname>Mansiroglu</surname>
              <given-names>AK</given-names>
            </name>
            <name>
              <surname>Cosgun</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
          </person-group>
          <article-title>Association of Mean Platelet Volume and Red Blood Cell Distribution Width with Coronary Collateral Development in Stable Coronary Artery Disease</article-title>
          <source>Postepy Kardiol Interwencyjnej</source>
          <year>2018</year>
          <volume>14</volume>
          <issue>3</issue>
          <fpage>263</fpage>
          <lpage>269</lpage>
          <pub-id pub-id-type="doi">10.5114/aic.2018.78329</pub-id>
        </element-citation>
      </ref>
      <ref id="B5">
        <label>5</label>
        <mixed-citation>5. Sit M, Aktas G, Ozer B, Kocak MZ, Erkus E, Erkol H, et al. Mean Platelet Volume: An Overlooked Herald of Malignant Thyroid Nodules. Acta Clin Croat. 2019;58(3):417-20. doi: 10.20471/acc.2019.58.03.03.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Sit</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Ozer</surname>
              <given-names>B</given-names>
            </name>
            <name>
              <surname>Kocak</surname>
              <given-names>MZ</given-names>
            </name>
            <name>
              <surname>Erkus</surname>
              <given-names>E</given-names>
            </name>
            <name>
              <surname>Erkol</surname>
              <given-names>H</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Mean Platelet Volume: An Overlooked Herald of Malignant Thyroid Nodules</article-title>
          <source>Acta Clin Croat</source>
          <year>2019</year>
          <volume>58</volume>
          <issue>3</issue>
          <fpage>417</fpage>
          <lpage>420</lpage>
          <issue-id pub-id-type="doi">10.20471/acc.2019.58.03.03</issue-id>
        </element-citation>
      </ref>
      <ref id="B6">
        <label>6</label>
        <mixed-citation>6. Aktas G, Duman TT, Kurtkulagi O, Tel BMA, Bilgin S, Kahveci G, et al. Liver Steatosis is Associatedboth with Platelet Distribution Width, Neutrophil/Lymphocyte and Monocyte/Lymphocyte Ratios. Prim Health Care Open Access. 2020;10(1):1-4.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Duman</surname>
              <given-names>TT</given-names>
            </name>
            <name>
              <surname>Kurtkulagi</surname>
              <given-names>O</given-names>
            </name>
            <name>
              <surname>Tel</surname>
              <given-names>BMA</given-names>
            </name>
            <name>
              <surname>Bilgin</surname>
              <given-names>S</given-names>
            </name>
            <name>
              <surname>Kahveci</surname>
              <given-names>G</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Liver Steatosis is Associatedboth with Platelet Distribution Width, Neutrophil/Lymphocyte and Monocyte/Lymphocyte Ratios</article-title>
          <source>Prim Health Care Open Access</source>
          <year>2020</year>
          <volume>10</volume>
          <issue>1</issue>
          <fpage>1</fpage>
          <lpage>4</lpage>
        </element-citation>
      </ref>
      <ref id="B7">
        <label>7</label>
        <mixed-citation>7. Aktas G, Duman TT, Atak BM, Kurtkulagi O, Bilgin S, Basaran E et al. Irritable Bowel Syndrome is Associated with Novel Inflammatory Markers Derived from Hemogram Parameters. Fam Med Prim Care Rev. 2020;22(2):107-10. doi: 10.5114/fmpcr.2020.95311.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Duman</surname>
              <given-names>TT</given-names>
            </name>
            <name>
              <surname>Atak</surname>
              <given-names>BM</given-names>
            </name>
            <name>
              <surname>Kurtkulagi</surname>
              <given-names>O</given-names>
            </name>
            <name>
              <surname>Bilgin</surname>
              <given-names>S</given-names>
            </name>
            <name>
              <surname>Basaran</surname>
              <given-names>E</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Irritable Bowel Syndrome is Associated with Novel Inflammatory Markers Derived from Hemogram Parameters</article-title>
          <source>Fam Med Prim Care Rev</source>
          <year>2020</year>
          <volume>22</volume>
          <issue>2</issue>
          <fpage>107</fpage>
          <lpage>110</lpage>
          <pub-id pub-id-type="doi">10.5114/fmpcr.2020.95311</pub-id>
        </element-citation>
      </ref>
      <ref id="B8">
        <label>8</label>
        <mixed-citation>8. Balci SB, Aktas G. A Comprehensive Review of the Role of Hemogram Derived Inflammatory Markers in Gastrointestinal Conditions. 2022;10:75-86. doi: 10.30476/ACRR.2022.97244.1160.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Balci</surname>
              <given-names>SB</given-names>
            </name>
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
          </person-group>
          <article-title>A Comprehensive Review of the Role of Hemogram Derived Inflammatory Markers in Gastrointestinal Conditions</article-title>
          <year>2022</year>
          <volume>10</volume>
          <fpage>75</fpage>
          <lpage>86</lpage>
          <pub-id pub-id-type="doi">10.30476/ACRR.2022.97244.1160</pub-id>
        </element-citation>
      </ref>
      <ref id="B9">
        <label>9</label>
        <mixed-citation>9. Erge E, Kiziltunc C, Balci SB, Atak Tel BM, Bilgin S, Duman TT, et al. A Novel Inflammatory Marker for the Diagnosis of Hashimoto's Thyroiditis: Platelet-Count-to-Lymphocyte-Count Ratio. Diseases. 2023;11(1):15. doi: 10.3390/diseases11010015.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Erge</surname>
              <given-names>E</given-names>
            </name>
            <name>
              <surname>Kiziltunc</surname>
              <given-names>C</given-names>
            </name>
            <name>
              <surname>Balci</surname>
              <given-names>SB</given-names>
            </name>
            <name>
              <surname>Atak Tel</surname>
              <given-names>BM</given-names>
            </name>
            <name>
              <surname>Bilgin</surname>
              <given-names>S</given-names>
            </name>
            <name>
              <surname>Duman</surname>
              <given-names>TT</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>A Novel Inflammatory Marker for the Diagnosis of Hashimoto's Thyroiditis: Platelet-Count-to-Lymphocyte-Count Ratio</article-title>
          <source>Diseases</source>
          <year>2023</year>
          <volume>11</volume>
          <issue>1</issue>
          <fpage>15</fpage>
          <issue-id pub-id-type="doi">10.3390/diseases11010015</issue-id>
        </element-citation>
      </ref>
      <ref id="B10">
        <label>10</label>
        <mixed-citation>10. Yang YL, Wu CH, Hsu PF, Chen SC, Huang SS, Chan WL, et al. Systemic Immune-Inflammation Index (SII) Predicted Clinical Outcome in Patients with Coronary Artery Disease. Eur J Clin Invest. 2020;50(5):e13230. doi: 10.1111/eci.13230.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Yang</surname>
              <given-names>YL</given-names>
            </name>
            <name>
              <surname>Wu</surname>
              <given-names>CH</given-names>
            </name>
            <name>
              <surname>Hsu</surname>
              <given-names>PF</given-names>
            </name>
            <name>
              <surname>Chen</surname>
              <given-names>SC</given-names>
            </name>
            <name>
              <surname>Huang</surname>
              <given-names>SS</given-names>
            </name>
            <name>
              <surname>Chan</surname>
              <given-names>WL</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Systemic Immune-Inflammation Index (SII) Predicted Clinical Outcome in Patients with Coronary Artery Disease</article-title>
          <source>Eur J Clin Invest</source>
          <year>2020</year>
          <volume>50</volume>
          <issue>5</issue>
          <fpage>e13230</fpage>
          <issue-id pub-id-type="doi">10.1111/eci.13230</issue-id>
        </element-citation>
      </ref>
      <ref id="B11">
        <label>11</label>
        <mixed-citation>11. Szolc P, Niewiara L, Kawulak M, Szkodon K, Ostrowska-Kaim E, Nosal M, Krzanowski M, Zmudka K, Legutko J, Guzik B. Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio as Predictors of Coronary Microcirculatory Disease Occurrence and Outcome in Patients with Chronic Coronary Syndrome and No Significant Coronary Artery Stenosis. Wiad Lek. 2020;73(12 cz 1):2598-2606.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Szolc</surname>
              <given-names>P</given-names>
            </name>
            <name>
              <surname>Niewiara</surname>
              <given-names>L</given-names>
            </name>
            <name>
              <surname>Kawulak</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Szkodon</surname>
              <given-names>K</given-names>
            </name>
            <name>
              <surname>Ostrowska-Kaim</surname>
              <given-names>E</given-names>
            </name>
            <name>
              <surname>Nosal</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Krzanowski</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Zmudka</surname>
              <given-names>K</given-names>
            </name>
            <name>
              <surname>Legutko</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Guzik</surname>
              <given-names>B</given-names>
            </name>
          </person-group>
          <article-title>Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio as Predictors of Coronary Microcirculatory Disease Occurrence and Outcome in Patients with Chronic Coronary Syndrome and No Significant Coronary Artery Stenosis</article-title>
          <source>Wiad Lek</source>
          <year>2020</year>
          <volume>73</volume>
          <issue>12 cz 1</issue>
          <fpage>2598</fpage>
          <lpage>2606</lpage>
        </element-citation>
      </ref>
      <ref id="B12">
        <label>12</label>
        <mixed-citation>12. Sahin A, Sisli E. Retrospective Evaluation of the Pre- and Postoperative Neutrophil-Lymphocyte Ratio as a Predictor of Mortality in Patients Who Underwent Coronary Artery Bypass Grafting. Heart Surg Forum. 2021;24(5):E814-20. doi: 10.1532/hsf.4099.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Sahin</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Sisli</surname>
              <given-names>E</given-names>
            </name>
          </person-group>
          <article-title>Retrospective Evaluation of the Pre- and Postoperative Neutrophil-Lymphocyte Ratio as a Predictor of Mortality in Patients Who Underwent Coronary Artery Bypass Grafting</article-title>
          <source>Heart Surg Forum</source>
          <year>2021</year>
          <volume>24</volume>
          <issue>5</issue>
          <fpage>E814</fpage>
          <lpage>E820</lpage>
          <pub-id pub-id-type="doi">10.1532/hsf.4099</pub-id>
        </element-citation>
      </ref>
      <ref id="B13">
        <label>13</label>
        <mixed-citation>13. Tel BM, Kahveci G, Bilgin S, Kurtkulagi O, Taslamacioglu Duman T, Demirkol M et al. Haemoglobin and Red Cell Distribution Width Levels in Internal Medicine Patients Indicate Recurrent Hospital Admission During COVID-19. Family Medicine &amp; Primary Care Review. 2022;24(1):32-36. doi: 10.5114/fmpcr.2022.113011.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Tel</surname>
              <given-names>BM</given-names>
            </name>
            <name>
              <surname>Kahveci</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Bilgin</surname>
              <given-names>S</given-names>
            </name>
            <name>
              <surname>Kurtkulagi</surname>
              <given-names>O</given-names>
            </name>
            <name>
              <surname>Taslamacioglu Duman</surname>
              <given-names>T</given-names>
            </name>
            <name>
              <surname>Demirkol</surname>
              <given-names>M</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Haemoglobin and Red Cell Distribution Width Levels in Internal Medicine Patients Indicate Recurrent Hospital Admission During COVID-19</article-title>
          <source>Family Medicine &amp; Primary Care Review</source>
          <year>2022</year>
          <volume>24</volume>
          <issue>1</issue>
          <fpage>32</fpage>
          <lpage>36</lpage>
          <issue-id pub-id-type="doi">10.5114/fmpcr.2022.113011</issue-id>
        </element-citation>
      </ref>
      <ref id="B14">
        <label>14</label>
        <mixed-citation>14. Sarnak MJ, Tighiouart H, Manjunath G, MacLeod B, Griffith J, Salem D, et al. Anemia as a Risk Factor for Cardiovascular Disease in The Atherosclerosis Risk in Communities (ARIC) Study. J Am Coll Cardiol. 2002;40(1):27-33. doi: 10.1016/s0735-1097(02)01938-1.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Sarnak</surname>
              <given-names>MJ</given-names>
            </name>
            <name>
              <surname>Tighiouart</surname>
              <given-names>H</given-names>
            </name>
            <name>
              <surname>Manjunath</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>MacLeod</surname>
              <given-names>B</given-names>
            </name>
            <name>
              <surname>Griffith</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Salem</surname>
              <given-names>D</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Anemia as a Risk Factor for Cardiovascular Disease in The Atherosclerosis Risk in Communities (ARIC) Study</article-title>
          <source>J Am Coll Cardiol</source>
          <year>2002</year>
          <volume>40</volume>
          <issue>1</issue>
          <fpage>27</fpage>
          <lpage>33</lpage>
          <issue-id pub-id-type="doi">10.1016/s0735-1097(02)01938-1</issue-id>
        </element-citation>
      </ref>
      <ref id="B15">
        <label>15</label>
        <mixed-citation>15. Reinecke H, Trey T, Wellmann J, Heidrich J, Fobker M, Wichter T, et al. Haemoglobin-Related Mortality in Patients Undergoing Percutaneous Coronary Interventions. Eur Heart J. 2003;24(23):2142-50. doi: 10.1016/j.ehj.2003.09.008.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Reinecke</surname>
              <given-names>H</given-names>
            </name>
            <name>
              <surname>Trey</surname>
              <given-names>T</given-names>
            </name>
            <name>
              <surname>Wellmann</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Heidrich</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Fobker</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Wichter</surname>
              <given-names>T</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Haemoglobin-Related Mortality in Patients Undergoing Percutaneous Coronary Interventions</article-title>
          <source>Eur Heart J</source>
          <year>2003</year>
          <volume>24</volume>
          <issue>23</issue>
          <fpage>2142</fpage>
          <lpage>2150</lpage>
          <issue-id pub-id-type="doi">10.1016/j.ehj.2003.09.008</issue-id>
        </element-citation>
      </ref>
      <ref id="B16">
        <label>16</label>
        <mixed-citation>16. Aktas G, Alcelik A, Tekce BK, Tekelioglu V, Sit M, Savli H. Red Cell Distribution Width and Mean Platelet Volume in Patients with Irritable Bowel Syndrome. Prz Gastroenterol. 2014;9(3):160-3. doi: 10.5114/pg.2014.43578.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Alcelik</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Tekce</surname>
              <given-names>BK</given-names>
            </name>
            <name>
              <surname>Tekelioglu</surname>
              <given-names>V</given-names>
            </name>
            <name>
              <surname>Sit</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Savli</surname>
              <given-names>H</given-names>
            </name>
          </person-group>
          <article-title>Red Cell Distribution Width and Mean Platelet Volume in Patients with Irritable Bowel Syndrome</article-title>
          <source>Prz Gastroenterol</source>
          <year>2014</year>
          <volume>9</volume>
          <issue>3</issue>
          <fpage>160</fpage>
          <lpage>163</lpage>
          <issue-id pub-id-type="doi">10.5114/pg.2014.43578</issue-id>
        </element-citation>
      </ref>
      <ref id="B17">
        <label>17</label>
        <mixed-citation>17. Aktas G, Sit M, Dikbas O, Tekce BK, Savli H, Tekce H, et al. Could Red Cell Distribution Width be a Marker in Hashimoto's Thyroiditis? Exp Clin Endocrinol Diabetes. 2014;122(10):572-4. doi: 10.1055/s-0034-1383564.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Sit</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Dikbas</surname>
              <given-names>O</given-names>
            </name>
            <name>
              <surname>Tekce</surname>
              <given-names>BK</given-names>
            </name>
            <name>
              <surname>Savli</surname>
              <given-names>H</given-names>
            </name>
            <name>
              <surname>Tekce</surname>
              <given-names>H</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Could Red Cell Distribution Width be a Marker in Hashimoto's Thyroiditis?</article-title>
          <source>Exp Clin Endocrinol Diabetes</source>
          <year>2014</year>
          <volume>122</volume>
          <issue>10</issue>
          <fpage>572</fpage>
          <lpage>574</lpage>
          <issue-id pub-id-type="doi">10.1055/s-0034-1383564</issue-id>
        </element-citation>
      </ref>
      <ref id="B18">
        <label>18</label>
        <mixed-citation>18. Cakir L, Aktas G, Mercimek OB,Enginyurt O. Are Red Cell Distribution Width and Mean Platelet Volume Associated with Rheumatoid Arthritis? Biomed Res. 2016;27(2):292-4.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Cakir</surname>
              <given-names>L</given-names>
            </name>
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Mercimek</surname>
              <given-names>OB</given-names>
            </name>
            <name>
              <surname>Enginyurt</surname>
              <given-names>O</given-names>
            </name>
          </person-group>
          <article-title>Are Red Cell Distribution Width and Mean Platelet Volume Associated with Rheumatoid Arthritis?</article-title>
          <source>Biomed Res</source>
          <year>2016</year>
          <volume>27</volume>
          <issue>2</issue>
          <fpage>292</fpage>
          <lpage>294</lpage>
        </element-citation>
      </ref>
      <ref id="B19">
        <label>19</label>
        <mixed-citation>19. Dagistan Y, Dagistan E, Gezici AR, Halicioglu S, Akar S, &#214;zkan N, et al. Could Red Cell Distribution Width and Mean Platelet Volume be a Predictor for Lumbar Disc Hernias? Ideggyogy Sz. 2016;69(11-12):411-4. doi: 10.18071/isz.69.0411.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Dagistan</surname>
              <given-names>Y</given-names>
            </name>
            <name>
              <surname>Dagistan</surname>
              <given-names>E</given-names>
            </name>
            <name>
              <surname>Gezici</surname>
              <given-names>AR</given-names>
            </name>
            <name>
              <surname>Halicioglu</surname>
              <given-names>S</given-names>
            </name>
            <name>
              <surname>Akar</surname>
              <given-names>S</given-names>
            </name>
            <name>
              <surname>&#214;zkan</surname>
              <given-names>N</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Could Red Cell Distribution Width and Mean Platelet Volume be a Predictor for Lumbar Disc Hernias?</article-title>
          <source>Ideggyogy Sz</source>
          <year>2016</year>
          <volume>69</volume>
          <season>11-12</season>
          <fpage>411</fpage>
          <lpage>414</lpage>
          <issue-id pub-id-type="doi">10.18071/isz.69.0411</issue-id>
        </element-citation>
      </ref>
      <ref id="B20">
        <label>20</label>
        <mixed-citation>20. Aktas G, Sit M, Karagoz I, Erkus E, Ozer B, Kocak MZ, et al. Could Red Cell Distribution Width be a Marker of Thyroid Cancer? J Coll Physicians Surg Pak. 2017;27(9):556-8.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Sit</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Karagoz</surname>
              <given-names>I</given-names>
            </name>
            <name>
              <surname>Erkus</surname>
              <given-names>E</given-names>
            </name>
            <name>
              <surname>Ozer</surname>
              <given-names>B</given-names>
            </name>
            <name>
              <surname>Kocak</surname>
              <given-names>MZ</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Could Red Cell Distribution Width be a Marker of Thyroid Cancer?</article-title>
          <source>J Coll Physicians Surg Pak</source>
          <year>2017</year>
          <volume>27</volume>
          <issue>9</issue>
          <fpage>556</fpage>
          <lpage>558</lpage>
        </element-citation>
      </ref>
      <ref id="B21">
        <label>21</label>
        <mixed-citation>21. Ustaoglu M, Aktas G, Avcioglu U, Bas B, Bahceci BK. Elevated Platelet Distribution Width and Red Cell Distribution Width are Associated with Autoimmune Liver Diseases. Eur J Gastroenterol Hepatol. 2021;33(1 Suppl 1):e905-8. doi: 10.1097/MEG.0000000000002296.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Ustaoglu</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Avcioglu</surname>
              <given-names>U</given-names>
            </name>
            <name>
              <surname>Bas</surname>
              <given-names>B</given-names>
            </name>
            <name>
              <surname>Bahceci</surname>
              <given-names>BK</given-names>
            </name>
          </person-group>
          <article-title>Elevated Platelet Distribution Width and Red Cell Distribution Width are Associated with Autoimmune Liver Diseases</article-title>
          <source>Eur J Gastroenterol Hepatol</source>
          <year>2021</year>
          <volume>33</volume>
          <issue>1</issue>
          <supplement>Suppl 1</supplement>
          <fpage>e905</fpage>
          <lpage>e908</lpage>
          <pub-id pub-id-type="doi">10.1097/MEG.0000000000002296</pub-id>
        </element-citation>
      </ref>
      <ref id="B22">
        <label>22</label>
        <mixed-citation>22. Aktas G. Hematological Predictors of Novel Coronavirus Infection. Rev Assoc Med Bras (1992). 2021;67(Suppl 1):1-2. doi: 10.1590/1806-9282.67.Suppl1.20200678.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
          </person-group>
          <article-title>Hematological Predictors of Novel Coronavirus Infection</article-title>
          <source>Rev Assoc Med Bras (1992)</source>
          <year>2021</year>
          <volume>67</volume>
          <supplement>Suppl 1</supplement>
          <fpage>1</fpage>
          <lpage>2</lpage>
          <pub-id pub-id-type="doi">10.1590/1806-9282.67.Suppl1.20200678</pub-id>
        </element-citation>
      </ref>
      <ref id="B23">
        <label>23</label>
        <mixed-citation>23. Ye Z, Smith C, Kullo IJ. Usefulness of Red Cell Distribution Width to Predict Mortality in Patients with Peripheral Artery Disease. Am J Cardiol. 2011;107(8):1241-5. doi: 10.1016/j.amjcard.2010.12.023.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Ye</surname>
              <given-names>Z</given-names>
            </name>
            <name>
              <surname>Smith</surname>
              <given-names>C</given-names>
            </name>
            <name>
              <surname>Kullo</surname>
              <given-names>IJ</given-names>
            </name>
          </person-group>
          <article-title>Usefulness of Red Cell Distribution Width to Predict Mortality in Patients with Peripheral Artery Disease</article-title>
          <source>Am J Cardiol</source>
          <year>2011</year>
          <volume>107</volume>
          <issue>8</issue>
          <fpage>1241</fpage>
          <lpage>1245</lpage>
          <issue-id pub-id-type="doi">10.1016/j.amjcard.2010.12.023</issue-id>
        </element-citation>
      </ref>
      <ref id="B24">
        <label>24</label>
        <mixed-citation>24. Perlstein TS, Weuve J, Pfeffer MA, Beckman JA. Red Blood Cell Distribution Width and Mortality Risk in a Community-Based Prospective Cohort. Arch Intern Med. 2009;169(6):588-94. doi: 10.1001/archinternmed.2009.55.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Perlstein</surname>
              <given-names>TS</given-names>
            </name>
            <name>
              <surname>Weuve</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Pfeffer</surname>
              <given-names>MA</given-names>
            </name>
            <name>
              <surname>Beckman</surname>
              <given-names>JA</given-names>
            </name>
          </person-group>
          <article-title>Red Blood Cell Distribution Width and Mortality Risk in a Community-Based Prospective Cohort</article-title>
          <source>Arch Intern Med</source>
          <year>2009</year>
          <volume>169</volume>
          <issue>6</issue>
          <fpage>588</fpage>
          <lpage>594</lpage>
          <pub-id pub-id-type="doi">10.1001/archinternmed.2009.55</pub-id>
        </element-citation>
      </ref>
      <ref id="B25">
        <label>25</label>
        <mixed-citation>25. Thygesen K, Alpert JS, Jaffe AS, Chaitman BR, Bax JJ, Morrow DA, et al. Fourth Universal Definition of Myocardial Infarction (2018). J Am Coll Cardiol. 2018;72(18):2231-64. doi: 10.1016/j.jacc.2018.08.1038.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Thygesen</surname>
              <given-names>K</given-names>
            </name>
            <name>
              <surname>Alpert</surname>
              <given-names>JS</given-names>
            </name>
            <name>
              <surname>Jaffe</surname>
              <given-names>AS</given-names>
            </name>
            <name>
              <surname>Chaitman</surname>
              <given-names>BR</given-names>
            </name>
            <name>
              <surname>Bax</surname>
              <given-names>JJ</given-names>
            </name>
            <name>
              <surname>Morrow</surname>
              <given-names>DA</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Fourth Universal Definition of Myocardial Infarction (2018)</article-title>
          <source>J Am Coll Cardiol</source>
          <year>2018</year>
          <volume>72</volume>
          <issue>18</issue>
          <fpage>2231</fpage>
          <lpage>2264</lpage>
          <pub-id pub-id-type="doi">10.1016/j.jacc.2018.08.1038</pub-id>
        </element-citation>
      </ref>
      <ref id="B26">
        <label>26</label>
        <mixed-citation>26. ASTRUP P. Haemoglobin [Hemoglobin]. Ugeskr Laeger. 1958;120(6):198-9. Norwegian.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>ASTRUP</surname>
              <given-names>P</given-names>
            </name>
          </person-group>
          <article-title>Haemoglobin [Hemoglobin]</article-title>
          <source>Ugeskr Laeger</source>
          <year>1958</year>
          <volume>120</volume>
          <issue>6</issue>
          <fpage>198</fpage>
          <lpage>199</lpage>
          <comment>Norwegian</comment>
        </element-citation>
      </ref>
      <ref id="B27">
        <label>27</label>
        <mixed-citation>27. Ishigami J, Grams ME, Naik RP, Caughey MC, Loehr LR, Uchida S, et al. Hemoglobin, Albuminuria, and Kidney Function in Cardiovascular Risk: The ARIC (Atherosclerosis Risk in Communities) Study. J Am Heart Assoc. 2018;7(2):e007209. doi: 10.1161/JAHA.117.007209.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Ishigami</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Grams</surname>
              <given-names>ME</given-names>
            </name>
            <name>
              <surname>Naik</surname>
              <given-names>RP</given-names>
            </name>
            <name>
              <surname>Caughey</surname>
              <given-names>MC</given-names>
            </name>
            <name>
              <surname>Loehr</surname>
              <given-names>LR</given-names>
            </name>
            <name>
              <surname>Uchida</surname>
              <given-names>S</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Hemoglobin, Albuminuria, and Kidney Function in Cardiovascular Risk: The ARIC (Atherosclerosis Risk in Communities) Study</article-title>
          <source>J Am Heart Assoc</source>
          <year>2018</year>
          <volume>7</volume>
          <issue>2</issue>
          <fpage>e007209</fpage>
          <issue-id pub-id-type="doi">10.1161/JAHA.117.007209</issue-id>
        </element-citation>
      </ref>
      <ref id="B28">
        <label>28</label>
        <mixed-citation>28. Uyarel H, Ergelen M, Cicek G, Kaya MG, Ayhan E, Turkkan C, et al. Red Cell Distribution Width as a Novel Prognostic Marker in Patients Undergoing Primary Angioplasty for Acute Myocardial Infarction. Coron Artery Dis. 2011;22(3):138-44. doi: 10.1097/MCA.0b013e328342c77b.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Uyarel</surname>
              <given-names>H</given-names>
            </name>
            <name>
              <surname>Ergelen</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Cicek</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Kaya</surname>
              <given-names>MG</given-names>
            </name>
            <name>
              <surname>Ayhan</surname>
              <given-names>E</given-names>
            </name>
            <name>
              <surname>Turkkan</surname>
              <given-names>C</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Red Cell Distribution Width as a Novel Prognostic Marker in Patients Undergoing Primary Angioplasty for Acute Myocardial Infarction</article-title>
          <source>Coron Artery Dis</source>
          <year>2011</year>
          <volume>22</volume>
          <issue>3</issue>
          <fpage>138</fpage>
          <lpage>144</lpage>
          <issue-id pub-id-type="doi">10.1097/MCA.0b013e328342c77b</issue-id>
        </element-citation>
      </ref>
      <ref id="B29">
        <label>29</label>
        <mixed-citation>29. Horwich TB, Fonarow GC, Hamilton MA, MacLellan WR, Borenstein J. Anemia is Associated with Worse Symptoms, Greater Impairment in Functional Capacity and a Significant Increase in Mortality in Patients with Advanced Heart Failure. J Am Coll Cardiol. 2002;39(11):1780-6. doi: 10.1016/s0735-1097(02)01854-5.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Horwich</surname>
              <given-names>TB</given-names>
            </name>
            <name>
              <surname>Fonarow</surname>
              <given-names>GC</given-names>
            </name>
            <name>
              <surname>Hamilton</surname>
              <given-names>MA</given-names>
            </name>
            <name>
              <surname>MacLellan</surname>
              <given-names>WR</given-names>
            </name>
            <name>
              <surname>Borenstein</surname>
              <given-names>J</given-names>
            </name>
          </person-group>
          <article-title>Anemia is Associated with Worse Symptoms, Greater Impairment in Functional Capacity and a Significant Increase in Mortality in Patients with Advanced Heart Failure</article-title>
          <source>J Am Coll Cardiol</source>
          <year>2002</year>
          <volume>39</volume>
          <issue>11</issue>
          <fpage>1780</fpage>
          <lpage>1786</lpage>
          <pub-id pub-id-type="doi">10.1016/s0735-1097(02)01854-5</pub-id>
        </element-citation>
      </ref>
      <ref id="B30">
        <label>30</label>
        <mixed-citation>30. Muzzarelli S, Pfisterer M; TIME Investigators. Anemia as Independent Predictor of Major Events in Elderly Patients with Chronic Angina. Am Heart J. 2006;152(5):991-6. doi: 10.1016/j.ahj.2006.06.014.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Muzzarelli</surname>
              <given-names>S</given-names>
            </name>
            <name>
              <surname>Pfisterer</surname>
              <given-names>M</given-names>
            </name>
            <collab>TIME Investigators</collab>
          </person-group>
          <article-title>Anemia as Independent Predictor of Major Events in Elderly Patients with Chronic Angina</article-title>
          <source>Am Heart J</source>
          <year>2006</year>
          <volume>152</volume>
          <issue>5</issue>
          <fpage>991</fpage>
          <lpage>996</lpage>
          <issue-id pub-id-type="doi">10.1016/j.ahj.2006.06.014</issue-id>
        </element-citation>
      </ref>
      <ref id="B31">
        <label>31</label>
        <mixed-citation>31. Lee PC, Kini AS, Ahsan C, Fisher E, Sharma SK. Anemia is an Independent Predictor of Mortality After Percutaneous Coronary Intervention. J Am Coll Cardiol. 2004;44(3):541-6. doi: 10.1016/j.jacc.2004.04.047.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Lee</surname>
              <given-names>PC</given-names>
            </name>
            <name>
              <surname>Kini</surname>
              <given-names>AS</given-names>
            </name>
            <name>
              <surname>Ahsan</surname>
              <given-names>C</given-names>
            </name>
            <name>
              <surname>Fisher</surname>
              <given-names>E</given-names>
            </name>
            <name>
              <surname>Sharma</surname>
              <given-names>SK</given-names>
            </name>
          </person-group>
          <article-title>Anemia is an Independent Predictor of Mortality After Percutaneous Coronary Intervention</article-title>
          <source>J Am Coll Cardiol</source>
          <year>2004</year>
          <volume>44</volume>
          <issue>3</issue>
          <fpage>541</fpage>
          <lpage>546</lpage>
          <pub-id pub-id-type="doi">10.1016/j.jacc.2004.04.047</pub-id>
        </element-citation>
      </ref>
      <ref id="B32">
        <label>32</label>
        <mixed-citation>32. Sincer I, Gunes Y, Mansiroglu AK, Aktas G. Differential Value of Eosinophil Count in Acute Coronary Syndrome Among Elderly Patients. Aging Male. 2020;23(5):958-61. doi: 10.1080/13685538.2019.1643310.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Sincer</surname>
              <given-names>I</given-names>
            </name>
            <name>
              <surname>Gunes</surname>
              <given-names>Y</given-names>
            </name>
            <name>
              <surname>Mansiroglu</surname>
              <given-names>AK</given-names>
            </name>
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
          </person-group>
          <article-title>Differential Value of Eosinophil Count in Acute Coronary Syndrome Among Elderly Patients</article-title>
          <source>Aging Male</source>
          <year>2020</year>
          <volume>23</volume>
          <issue>5</issue>
          <fpage>958</fpage>
          <lpage>961</lpage>
          <issue-id pub-id-type="doi">10.1080/13685538.2019.1643310</issue-id>
        </element-citation>
      </ref>
      <ref id="B33">
        <label>33</label>
        <mixed-citation>33. Sincer I, Mansiroglu AK, Aktas G, Gunes Y, Kocak MZ. Association between Hemogram Parameters and Coronary Collateral Development in Subjects with Non-ST-Elevation Myocardial Infarction. Rev Assoc Med Bras. 2020;66(2):160-5. doi: 10.1590/1806-9282.66.2.160.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Sincer</surname>
              <given-names>I</given-names>
            </name>
            <name>
              <surname>Mansiroglu</surname>
              <given-names>AK</given-names>
            </name>
            <name>
              <surname>Aktas</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Gunes</surname>
              <given-names>Y</given-names>
            </name>
            <name>
              <surname>Kocak</surname>
              <given-names>MZ</given-names>
            </name>
          </person-group>
          <article-title>Association between Hemogram Parameters and Coronary Collateral Development in Subjects with Non-ST-Elevation Myocardial Infarction</article-title>
          <source>Rev Assoc Med Bras</source>
          <year>2020</year>
          <volume>66</volume>
          <issue>2</issue>
          <fpage>160</fpage>
          <lpage>165</lpage>
          <pub-id pub-id-type="doi">10.1590/1806-9282.66.2.160</pub-id>
        </element-citation>
      </ref>
      <ref id="B34">
        <label>34</label>
        <mixed-citation>34. Karnad A, Poskitt TR. The Automated Complete Blood Cell Count. Use of the Red Blood Cell Volume Distribution Width and Mean Platelet Volume in Evaluating Anemia and Thrombocytopenia. Arch Intern Med. 1985;145(7):1270-2. doi: 10.1001/archinte.145.7.1270.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Karnad</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Poskitt</surname>
              <given-names>TR</given-names>
            </name>
          </person-group>
          <article-title>The Automated Complete Blood Cell Count. Use of the Red Blood Cell Volume Distribution Width and Mean Platelet Volume in Evaluating Anemia and Thrombocytopenia</article-title>
          <source>Arch Intern Med</source>
          <year>1985</year>
          <volume>145</volume>
          <issue>7</issue>
          <fpage>1270</fpage>
          <lpage>1272</lpage>
          <pub-id pub-id-type="doi">10.1001/archinte.145.7.1270</pub-id>
        </element-citation>
      </ref>
      <ref id="B35">
        <label>35</label>
        <mixed-citation>35. Felker GM, Allen LA, Pocock SJ, Shaw LK, McMurray JJ, Pfeffer MA, et al. Red Cell Distribution Width as a Novel Prognostic Marker in Heart Failure: Data from the CHARM PROGRAM and the Duke Databank. J Am Coll Cardiol. 2007;50(1):40-7. doi: 10.1016/j.jacc.2007.02.067.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Felker</surname>
              <given-names>GM</given-names>
            </name>
            <name>
              <surname>Allen</surname>
              <given-names>LA</given-names>
            </name>
            <name>
              <surname>Pocock</surname>
              <given-names>SJ</given-names>
            </name>
            <name>
              <surname>Shaw</surname>
              <given-names>LK</given-names>
            </name>
            <name>
              <surname>McMurray</surname>
              <given-names>JJ</given-names>
            </name>
            <name>
              <surname>Pfeffer</surname>
              <given-names>MA</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Red Cell Distribution Width as a Novel Prognostic Marker in Heart Failure: Data from the CHARM PROGRAM and the Duke Databank</article-title>
          <source>J Am Coll Cardiol</source>
          <year>2007</year>
          <volume>50</volume>
          <issue>1</issue>
          <fpage>40</fpage>
          <lpage>47</lpage>
          <pub-id pub-id-type="doi">10.1016/j.jacc.2007.02.067</pub-id>
        </element-citation>
      </ref>
      <ref id="B36">
        <label>36</label>
        <mixed-citation>36. Ye Z, Smith C, Kullo IJ. Usefulness of Red Cell Distribution Width to Predict Mortality in Patients with Peripheral Artery Disease. Am J Cardiol. 2011;107(8):1241-5. doi: 10.1016/j.amjcard.2010.12.023.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Ye</surname>
              <given-names>Z</given-names>
            </name>
            <name>
              <surname>Smith</surname>
              <given-names>C</given-names>
            </name>
            <name>
              <surname>Kullo</surname>
              <given-names>IJ</given-names>
            </name>
          </person-group>
          <article-title>Usefulness of Red Cell Distribution Width to Predict Mortality in Patients with Peripheral Artery Disease</article-title>
          <source>Am J Cardiol</source>
          <year>2011</year>
          <volume>107</volume>
          <issue>8</issue>
          <fpage>1241</fpage>
          <lpage>1245</lpage>
          <issue-id pub-id-type="doi">10.1016/j.amjcard.2010.12.023</issue-id>
        </element-citation>
      </ref>
      <ref id="B37">
        <label>37</label>
        <mixed-citation>37. Osadnik T, Strzelczyk J, Hawranek M, Lekston A, Wasilewski J, Kurek A, et al. Red Cell Distribution Width is Associated with Long-Term Prognosis in Patients with Stable Coronary Artery Disease. BMC Cardiovasc Disord. 2013;13:113. doi: 10.1186/1471-2261-13-113.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Osadnik</surname>
              <given-names>T</given-names>
            </name>
            <name>
              <surname>Strzelczyk</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Hawranek</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Lekston</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Wasilewski</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Kurek</surname>
              <given-names>A</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Red Cell Distribution Width is Associated with Long-Term Prognosis in Patients with Stable Coronary Artery Disease</article-title>
          <source>BMC Cardiovasc Disord</source>
          <year>2013</year>
          <volume>13</volume>
          <size units="pages">113</size>
          <issue-id pub-id-type="doi">10.1186/1471-2261-13-113</issue-id>
        </element-citation>
      </ref>
      <ref id="B38">
        <label>38</label>
        <mixed-citation>38. Sun XP, Chen WM, Sun ZJ, Ding XS, Gao XY, Liang SW, et al. Impact of Red Blood Cell Distribution Width on Long-Term Mortality in Patients with ST-Elevation Myocardial Infarction. Cardiology. 2014;128(4):343-8. doi: 10.1159/000359994.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Sun</surname>
              <given-names>XP</given-names>
            </name>
            <name>
              <surname>Chen</surname>
              <given-names>WM</given-names>
            </name>
            <name>
              <surname>Sun</surname>
              <given-names>ZJ</given-names>
            </name>
            <name>
              <surname>Ding</surname>
              <given-names>XS</given-names>
            </name>
            <name>
              <surname>Gao</surname>
              <given-names>XY</given-names>
            </name>
            <name>
              <surname>Liang</surname>
              <given-names>SW</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Impact of Red Blood Cell Distribution Width on Long-Term Mortality in Patients with ST-Elevation Myocardial Infarction</article-title>
          <source>Cardiology</source>
          <year>2014</year>
          <volume>128</volume>
          <issue>4</issue>
          <fpage>343</fpage>
          <lpage>348</lpage>
          <pub-id pub-id-type="doi">10.1159/000359994</pub-id>
        </element-citation>
      </ref>
      <ref id="B39">
        <label>39</label>
        <mixed-citation>39. Tonelli M, Sacks F, Arnold M, Moye L, Davis B, Pfeffer M, et al. Relation between Red Blood Cell Distribution Width and Cardiovascular Event Rate in People with Coronary Disease. Circulation. 2008;117(2):163-8. doi: 10.1161/CIRCULATIONAHA.107.727545.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Tonelli</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Sacks</surname>
              <given-names>F</given-names>
            </name>
            <name>
              <surname>Arnold</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Moye</surname>
              <given-names>L</given-names>
            </name>
            <name>
              <surname>Davis</surname>
              <given-names>B</given-names>
            </name>
            <name>
              <surname>Pfeffer</surname>
              <given-names>M</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Relation between Red Blood Cell Distribution Width and Cardiovascular Event Rate in People with Coronary Disease</article-title>
          <source>Circulation</source>
          <year>2008</year>
          <volume>117</volume>
          <issue>2</issue>
          <fpage>163</fpage>
          <lpage>168</lpage>
          <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.107.727545</pub-id>
        </element-citation>
      </ref>
      <ref id="B40">
        <label>40</label>
        <mixed-citation>40. Huang S, Zhou Q, Guo N, Zhang Z, Luo L, Luo Y, et al. Association between Red Blood Cell Distribution Width and in-Hospital Mortality in Acute Myocardial Infarction. Medicine. 2021;100(15):e25404. doi: 10.1097/MD.0000000000025404.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Huang</surname>
              <given-names>S</given-names>
            </name>
            <name>
              <surname>Zhou</surname>
              <given-names>Q</given-names>
            </name>
            <name>
              <surname>Guo</surname>
              <given-names>N</given-names>
            </name>
            <name>
              <surname>Zhang</surname>
              <given-names>Z</given-names>
            </name>
            <name>
              <surname>Luo</surname>
              <given-names>L</given-names>
            </name>
            <name>
              <surname>Luo</surname>
              <given-names>Y</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Association between Red Blood Cell Distribution Width and in-Hospital Mortality in Acute Myocardial Infarction</article-title>
          <source>Medicine</source>
          <year>2021</year>
          <volume>100</volume>
          <issue>15</issue>
          <fpage>e25404</fpage>
          <pub-id pub-id-type="doi">10.1097/MD.0000000000025404</pub-id>
        </element-citation>
      </ref>
      <ref id="B41">
        <label>41</label>
        <mixed-citation>41. Lippi G, Filippozzi L, Montagnana M, Salvagno GL, Franchini M, Guidi GC, et al. Clinical Usefulness of Measuring Red Blood Cell Distribution Width on Admission in Patients with Acute Coronary Syndromes. Clin Chem Lab Med. 2009;47(3):353-7. doi: 10.1515/cclm.2009.066.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Lippi</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Filippozzi</surname>
              <given-names>L</given-names>
            </name>
            <name>
              <surname>Montagnana</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Salvagno</surname>
              <given-names>GL</given-names>
            </name>
            <name>
              <surname>Franchini</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Guidi</surname>
              <given-names>GC</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Clinical Usefulness of Measuring Red Blood Cell Distribution Width on Admission in Patients with Acute Coronary Syndromes</article-title>
          <source>Clin Chem Lab Med</source>
          <year>2009</year>
          <volume>47</volume>
          <issue>3</issue>
          <fpage>353</fpage>
          <lpage>357</lpage>
          <issue-id pub-id-type="doi">10.1515/cclm.2009.066</issue-id>
        </element-citation>
      </ref>
      <ref id="B42">
        <label>42</label>
        <mixed-citation>42. Rahamim E, Zwas DR, Keren A, Elbaz-Greener G, Ibrahimli M, Amir O, et al. The Ratio of Hemoglobin to Red Cell Distribution Width: A Strong Predictor of Clinical Outcome in Patients with Heart Failure. J Clin Med. 2022;11(3):886. doi: 10.3390/jcm11030886.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Rahamim</surname>
              <given-names>E</given-names>
            </name>
            <name>
              <surname>Zwas</surname>
              <given-names>DR</given-names>
            </name>
            <name>
              <surname>Keren</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Elbaz-Greener</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Ibrahimli</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Amir</surname>
              <given-names>O</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>The Ratio of Hemoglobin to Red Cell Distribution Width: A Strong Predictor of Clinical Outcome in Patients with Heart Failure</article-title>
          <source>J Clin Med</source>
          <year>2022</year>
          <volume>11</volume>
          <issue>3</issue>
          <fpage>886</fpage>
          <issue-id pub-id-type="doi">10.3390/jcm11030886</issue-id>
        </element-citation>
      </ref>
    </ref-list>
    <fn-group>
      <fn fn-type="other">
        <p>Study Association</p>
        <p>This study is not associated with any thesis or dissertation work.</p>
      </fn>
      <fn fn-type="other">
        <p>Ethics Approval and Consent to Participate</p>
        <p>This study was approved by the Ethics Committee of the Karamanoglu Mehmetbey University under the protocol number 10-2022/09. All the procedures in this study were in accordance with the 1975 Helsinki Declaration, updated in 2013. Informed consent was obtained from all participants included in the study.</p>
      </fn>
    </fn-group>
    <fn-group>
      <fn fn-type="financial-disclosure">
        <p>Sources of Funding: There were no external funding sources for this study.</p>
      </fn>
    </fn-group>
  </back>
</article>
