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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">MJsJpcxDCcJYTC3VHvGKdvB</article-id>
      <article-id specific-use="previous-pid" pub-id-type="publisher-id">S2359-56472021005009205</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S2359-56472021000400383</article-id>
      <article-id pub-id-type="publisher-id">ijcs.20200414</article-id>
      <article-id pub-id-type="doi">10.36660/ijcs.20200414</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>ORIGINAL ARTICLE</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Exercise Testing, Family History, and Subclinical Atherosclerosis Markers for Cardiovascular Risk Reclassification in Middle-Aged Women</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-1000-821X</contrib-id>
          <name>
            <surname>Coutinho</surname>
            <given-names>Ricardo Quental</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-8967-5693</contrib-id>
          <name>
            <surname>Montarroyos</surname>
            <given-names>Ulisses Ramos</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8975-3812</contrib-id>
          <name>
            <surname>Barros</surname>
            <given-names>Isly Maria Lucena de</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-6898-9228</contrib-id>
          <name>
            <surname>Guimar&#227;es</surname>
            <given-names>Maria Jos&#233; Bezerra</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-9206-4110</contrib-id>
          <name>
            <surname>Le&#227;o</surname>
            <given-names>Ana Paula Dornelas</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2862-7484</contrib-id>
          <name>
            <surname>Costa</surname>
            <given-names>Laura Olinda Bregieiro Fernandes</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2351-5272</contrib-id>
          <name>
            <surname>Medeiros</surname>
            <given-names>Ana Kelley de Lima</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-9530-3105</contrib-id>
          <name>
            <surname>Monteiro</surname>
            <given-names>Maria de F&#225;tima</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-0117-3504</contrib-id>
          <name>
            <surname>Ferreira</surname>
            <given-names>Moacir de Novaes Lima</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-3751-0728</contrib-id>
          <name>
            <surname>Chalela</surname>
            <given-names>William Azem</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-9078-3296</contrib-id>
          <name>
            <surname>Pedrosa</surname>
            <given-names>Rodrigo Pinto</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution content-type="orgname">Universidade de Pernambuco</institution>
        <addr-line>
          <named-content content-type="city">Recife</named-content>
          <named-content content-type="state">PE</named-content>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Universidade de Pernambuco, Recife, PE &#8211; Brazil</institution>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution content-type="orgname">Universidade de S&#227;o Paulo</institution>
        <addr-line>
          <named-content content-type="city">S&#227;o Paulo</named-content>
          <named-content content-type="state">SP</named-content>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Universidade de S&#227;o Paulo, S&#227;o Paulo, SP &#8211; Brazil</institution>
      </aff>
      <author-notes>
        <corresp id="c01"><bold>Mailing Address: Ricardo Coutinho</bold> Rua Arn&#243;bio Marques, 310. Postal Code: 50100-030, Santo Amaro, Recife, PE &#8211; Brazil. E-mail: <email>ricardo.coutinho@upe.br</email> </corresp>
        <fn fn-type="con">
          <p>Author contributions</p>
          <p>Conception and design of the research: Coutinho RQ, Montarroyos UR, Barros IML, Guimar&#227;es MJB, Costa LOBF, Ferreira MNL, Chalela WA, Pedrosa RP. Acquisition of data: Coutinho RQ, Barros IML, Le&#227;o APD, Medeiros AKL, Monteiro MF. Analysis and interpretation of the data: Coutinho RQ, Montarroyos UR, Guimar&#227;es MJB, Pedrosa RP. Statistical analysis: Montarroyos UR. Obtaining financing: Barros IML. Writing of the manuscript: Coutinho RQ, Montarroyos UR, Guimar&#227;es MJB, Pedrosa RP. Critical revision of the manuscript for intellectual content: Coutinho RQ, Montarroyos UR, Guimar&#227;es MJB, Ferreira MNL, Chalela WA, Pedrosa RP.</p>
        </fn>
        <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>16</day>
        <month>07</month>
        <year>2021</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <season>Jul-Aug</season>
        <year>2021</year>
      </pub-date>
      <volume>34</volume>
      <issue>4</issue>
      <fpage>383</fpage>
      <lpage>392</lpage>
      <history>
        <date date-type="received">
          <day>28</day>
          <month>12</month>
          <year>2020</year>
        </date>
        <date date-type="rev-recd">
          <day>12</day>
          <month>02</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>09</day>
          <month>03</month>
          <year>2021</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>
        <title>Abstract</title>
        <sec>
          <title>Background</title>
          <p> Cardiovascular diseases are the main cause of death in women and the accuracy of currently available risk scores is questionable.</p>
        </sec>
        <sec>
          <title>Objective</title>
          <p> To reclassify the risk estimated by the Framingham Risk Score (FRS) in asymptomatic middle-aged women by incorporating family history, exercise testing variables, and subclinical atherosclerosis markers.</p>
        </sec>
        <sec>
          <title>Methods</title>
          <p> This cross-sectional study included 509 women (age range, 46-65 years) without cardiovascular symptoms. Those at low or intermediate risk by the FRS were reclassified to a higher level considering premature family history of acute myocardial infarction and/or sudden death; four variables from exercise testing; and two variables related to subclinical atherosclerosis markers. The homogeneity of these variables according to the FRS was verified by Pearson chi-square test (p&lt;0.05).</p>
        </sec>
        <sec>
          <title>Results</title>
          <p> According to the FRS, 80.2%, 6.2%, and 13.6% of the women were classified as low (&lt;5%), intermediate (5-10%), and high (&gt;10%) risks, respectively. The intermediate-risk stratum showed the highest increase (from 6.2% to 33.3%) with addition of family history; followed by addition of chronotropic index &lt;80% (to 24.2%); functional capacity &lt;85% (22.2%), coronary calcium score &gt;0 (20.6%); decreased one-minute heart rate recovery &#8804;12 bpm (15.2%); carotid intima-media thickness &gt;1 mm and/or carotid plaque (13.8%) and ST-segment depression (9.0%). The high-risk stratum increased to 14.4% with the addition of reduced heart rate recovery and to 17.1% with the coronary calcium score.</p>
        </sec>
        <sec>
          <title>Conclusion</title>
          <p> Incorporation of premature family history of cardiovascular events, exercise testing abnormal parameters, and subclinical atherosclerosis markers into the FRS led to risk reclassification in 3.0-29.7% of asymptomatic middle-aged women, mainly by an increase from low to intermediate risk.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>Exercise Test</kwd>
        <kwd>Heredity</kwd>
        <kwd>Atherosclerosis</kwd>
        <kwd>Women</kwd>
        <kwd>Middle Aged</kwd>
        <kwd>Estrogens</kwd>
        <kwd>Risk Factor</kwd>
        <kwd>Obesity</kwd>
        <kwd>Hypertension</kwd>
        <kwd>Myocardial Infarction</kwd>
        <kwd>Sudden death</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source>Funda&#231;&#227;o de Amparo &#224; Ci&#234;ncia e Tecnologia do Estado de Pernambuco</funding-source>
          <award-id>APQ-1386-4.00/08</award-id>
        </award-group>
        <funding-statement>Sources of Funding: The study was partially funded by the Funda&#231;&#227;o de Amparo &#224; Ci&#234;ncia e Tecnologia do Estado de Pernambuco (Brazil) - Facepe (process number: APQ-1386-4.00/08).</funding-statement>
      </funding-group>
      <counts>
        <fig-count count="3"/>
        <table-count count="2"/>
        <equation-count count="0"/>
        <ref-count count="49"/>
        <page-count count="1"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <p>
      <fig id="f01">
        <caption>
          <title>Isly Lucena, MD, PhD Medical assistant of the Clinic Coronary Unit - Cardiac Emergency Hospital of Pernambuco (PROCAPE-UPE)</title>
        </caption>
        <graphic xlink:href="2359-5647-ijcs-34-04-0383-00414-gf01.tif"/></fig>
    </p>
    <sec sec-type="intro">
      <title>Introduction</title>
      <p>In middle-aged women, estrogen deficiency and the high prevalence of traditional risk factors such as obesity, sedentary behavior and hypertension can cause significant changes in the cardiovascular risk profile.<sup><xref rid="B1" ref-type="bibr">1</xref> , <xref rid="B2" ref-type="bibr">2</xref> </sup> Although approximately 90% of these women are classified as &#8220;low risk&#8221; based on the Framingham Risk Score (FRS), events such as acute myocardial infarction and sudden death are common in this group,<sup><xref rid="B3" ref-type="bibr">3</xref> , <xref rid="B4" ref-type="bibr">4</xref> </sup> suggesting that traditional cardiovascular risk scores may not be accurate.<sup><xref rid="B3" ref-type="bibr">3</xref> , <xref rid="B5" ref-type="bibr">5</xref> - <xref rid="B7" ref-type="bibr">7</xref> </sup> Thus, variables not included in the traditional scores, such as a premature family history of cardiovascular events,<sup><xref rid="B3" ref-type="bibr">3</xref> , <xref rid="B4" ref-type="bibr">4</xref> </sup> exercise testing variables,<sup><xref rid="B4" ref-type="bibr">4</xref> , <xref rid="B5" ref-type="bibr">5</xref> - <xref rid="B10" ref-type="bibr">10</xref> </sup> and subclinical atherosclerosis markers have been considered for risk reclassification in women.<sup><xref rid="B8" ref-type="bibr">8</xref> , <xref rid="B9" ref-type="bibr">9</xref> , <xref rid="B11" ref-type="bibr">11</xref> , <xref rid="B12" ref-type="bibr">12</xref> </sup>In addition, a history of infarction or death from cardiovascular disease in first-degree male relatives before 55 years of age and female relatives before 60 years of age has been considered in this regard.<sup><xref rid="B1" ref-type="bibr">1</xref> , <xref rid="B10" ref-type="bibr">10</xref> , <xref rid="B13" ref-type="bibr">13</xref> </sup> The prevalence of subclinical atherosclerosis is found to be high in women with a family history of cardiovascular events, even in those at low risk according to the FRS.<sup><xref rid="B12" ref-type="bibr">12</xref> , <xref rid="B13" ref-type="bibr">13</xref> </sup></p>
      <p>Among the markers of subclinical atherosclerosis, coronary calcium score has been of increasing interest, especially in asymptomatic individuals deemed to be at intermediate risk by the FRS,<sup><xref rid="B3" ref-type="bibr">3</xref> , <xref rid="B14" ref-type="bibr">14</xref> , <xref rid="B15" ref-type="bibr">15</xref> </sup> since it is able to detect coronary calcifications that correlate with disease extent and cardiovascular events.<sup><xref rid="B16" ref-type="bibr">16</xref> , <xref rid="B17" ref-type="bibr">17</xref> </sup> Another marker of subclinical atherosclerosis, carotid intima-media thickness (CIMT), assessed by ultrasonography, is associated with the presence and extent of disease in both men and women, and a predictor of myocardial infarction and stroke.<sup><xref rid="B11" ref-type="bibr">11</xref> , <xref rid="B18" ref-type="bibr">18</xref> , <xref rid="B19" ref-type="bibr">19</xref> </sup></p>
      <p>Exercise testing, a non-invasive functional method established in the field of cardiology, is not only of high diagnostic value, but also of prognostic value, including in asymptomatic women.<sup><xref rid="B20" ref-type="bibr">20</xref> - <xref rid="B23" ref-type="bibr">23</xref> </sup> In this sense, valuable information can be obtained regarding the prediction of cardiovascular risk when exercise parameters &#8211; functional capacity, chronotropic response, chronotropic index, heart rate (HR) recovery, and ventricular ectopy after exercise &#8211; are assessed.<sup><xref rid="B24" ref-type="bibr">24</xref> - <xref rid="B30" ref-type="bibr">30</xref> </sup></p>
      <p>Studies have demonstrated the prognostic role of imaging and functional tests, alone but especially in combination, to identify which women are at greatest risk for cardiovascular events.<sup><xref rid="B31" ref-type="bibr">31</xref> - <xref rid="B33" ref-type="bibr">33</xref> </sup> Thus, markers of subclinical atherosclerosis and exercise testing variables may contribute to the adoption of earlier and more effective preventive measures,<sup><xref rid="B8" ref-type="bibr">8</xref> , <xref rid="B9" ref-type="bibr">9</xref> , <xref rid="B18" ref-type="bibr">18</xref> , <xref rid="B33" ref-type="bibr">33</xref> , <xref rid="B34" ref-type="bibr">34</xref> </sup> especially in those initially classified as low or intermediate risk by the FRS.</p>
      <p>In this context, the purpose of this study was to reclassify the risk estimated by the FRS in asymptomatic middle-aged women with the incorporation of a premature family history of cardiovascular events, exercise testing variables, and subclinical atherosclerosis markers.</p>
    </sec>
    <sec sec-type="materials|methods">
      <title>Materials and methods</title>
      <sec>
        <title>Study design and participants</title>
        <p>It was a cross-sectional study with women aged 46-65 years selected by convenience sampling at two women&#8217;s health outpatient clinics. The sample studied (n=509) was greater than the calculated sample size (n=384), obtained by the method recommended when the frequency of the event in an infinite population is unknown.<sup><xref rid="B35" ref-type="bibr">35</xref></sup> For sample calculation, we used: estimated frequency in the population (proportion of women whose cardiovascular risk was assessed by the two methods) equal to 50%, using the maximum possible variability; 95% confidence interval; 5% margin of error; and infinite population size. The following exclusion criteria were adopted: history or clinical evidence of cardiovascular disease, except hypertension; diagnosis of liver or kidney disease; use of corticosteroids or hormone replacement therapy; pregnancy; use of intrauterine device; use of hormonal contraceptives for at least one year; and contraindication to exercise testing according to the III Brazilian Society of Cardiology Guideline for Exercise Testing.<sup><xref rid="B20" ref-type="bibr">20</xref></sup></p>
      </sec>
      <sec>
        <title>Variables and data collection</title>
        <p>Of all women participating in the study, the following data were collected &#8211; age, weight, height, smoking habit, history of diabetes and systemic arterial hypertension, use of HR-reducing medication, and history of parents and siblings (&lt;60 years of age for female relatives and &lt;55 years of age for male relatives) with acute myocardial infarction and/or sudden death. Measurement of blood pressure, serological tests (fasting glycemia, total cholesterol and fractions, triglycerides), exercise testing, carotid artery ultrasound (for determination of CIMT), and chest tomography (to determine the coronary calcium score) were performed.</p>
        <p>The FRS was obtained from variables including age, total cholesterol and fractions, blood pressure, and smoking. The FRS was categorized into three strata of cardiovascular risk, low (&lt;5%), intermediate (5-10%), and high (&gt;10%), according to the American Heart Association<sup><xref rid="B5" ref-type="bibr">5</xref></sup> and the Brazilian Society of Cardiology<sup><xref rid="B9" ref-type="bibr">9</xref></sup>recommendations for female patients. All diabetic women were classified as &#8220;high risk&#8221;.</p>
        <p>Exercise testing was performed by the principal investigator following the symptom-limited Bruce protocol<sup><xref rid="B36" ref-type="bibr">36</xref></sup> (Inbramed&#174; treadmill, using the ErgoPc&#174; exercise testing program and a Unitec&#174; mercury manometer). Interpretation of the exercise testing results was made according to the parameters established by the Brazilian Society of Cardiology.<sup><xref rid="B20" ref-type="bibr">20</xref></sup> For calculation of the exercise testing variables considered predictors of mortality, the following formulae were used:<sup><xref rid="B21" ref-type="bibr">21</xref> , <xref rid="B23" ref-type="bibr">23</xref> </sup> (a) Functional capacity = (maximum VO<sub>2</sub> reached &#215; 100)/VO<sub>2</sub> predicted considering the predicted VO<sub>2</sub> = 14.7 - (0.13 &#215; age); (b) chronotropic index = (maximum HR - resting HR) &#215; 100/(predicted HR - resting HR). The predicted HR was considered as (220 - age) as recommended by Karnoven et al.;<sup><xref rid="B37" ref-type="bibr">37</xref></sup> and (c) decrease in HR recovery at 1 minute = maximum HR - HR recovery at 1 minute.</p>
        <p>CIMT was measured by carotid artery ultrasound (12-3-MHz EnVisor Ultrasound System; Philips Ultrasound, Bothell, WA, USA) by the same technician. The average of maximum CIMT was obtained from the right and left carotid segments. CIMT values &gt;1 mm and the presence of atheroma plaque in the carotid artery<sup><xref rid="B18" ref-type="bibr">18</xref></sup> were used as indicators of subclinical carotid atherosclerosis. Carotid plaque was defined as the presence of focal wall thickening at least 50% greater than the wall thickness of the surrounding vessel or as a focal region with an intima-media thickness &gt;1.5 mm projecting to the lumen distinct from the adjacent contour.<sup><xref rid="B18" ref-type="bibr">18</xref></sup></p>
        <p>For coronary calcium score, non-contrast chest tomography with low effective radiation dose (1.7-2.5 mSv) was performed by multi-channel detector computed tomography (Philips Brilliance CT-10; Philips, Amsterdam, The Netherlands). Images were prospectively obtained using the single 20-second acquisitions of deep-inspiration breath-hold technique and synchronized with electrocardiogram to obtain 3-mm cuts from the level of the carina to the level of the diaphragm.<sup><xref rid="B12" ref-type="bibr">12</xref> , <xref rid="B15" ref-type="bibr">15</xref> </sup> Coronary calcification was defined as a plaque of at least three consecutive pixels (area = 1.03 mm<sup>2</sup>) with density &#8805;130 Hounsfield units (HU). The coronary calcium score was calculated according to the method described by Agatston,<sup><xref rid="B38" ref-type="bibr">38</xref></sup> i.e., multiplying the area of calcification in square millimeters by a factor of 1, 2, 3, or 4 depending on attenuation coefficients determined by calcium. Factor 1 was used when the coefficients were 130-199 HU; factor 2, 200-299 HU; factor 3, 300-399 HU; and factor 4, &gt;400 HU.</p>
      </sec>
      <sec>
        <title>Statistical analysis</title>
        <p>Continuous variables are presented as mean and standard deviation, and categorical variables as absolute and relative frequencies. Homogeneity of the variables used for cardiovascular risk reclassification was verified by the Pearson chi-square test ( <italic>p</italic> &lt; 0.05).</p>
        <p>Women classified as &#8220;low&#8221; or &#8220;intermediate&#8221; cardiovascular risk based on the FRS were reclassified to &#8220;high&#8221; risk if they had one or more of the following parameters: (a) premature family history of acute myocardial infarction and/or sudden death; (b) chronotropic index &lt;80% or &lt;62% if using HR-lowering medication; (c) functional capacity &lt;85%; (d) decrease in HR recovery at 1 minute &#8804;12 bpm; (e) ST-segment depression; (f) CIMT &gt;1 mm and/or presence of carotid plaque; or (g) coronary calcium score &gt;0.</p>
        <p>With the incorporation of premature family history of cardiovascular events, exercise test variables, and atherosclerosis markers into the FRS, the increase in cardiovascular risk corresponded to the proportion of participants who were reclassified to a higher risk level. The database was built in the Microsoft Office Access program and analysis was performed using the SPSS program (version 21.0).</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>More than one-third of the middle-aged women participating in the study (mean age, 56.4 &#177; 4.8 years; body mass index, 27.8 &#177; 4.9 kg/m<sup>2</sup>) had systemic arterial hypertension, dyslipidemia, and obesity ( <xref rid="t1" ref-type="table">Table 1</xref> ). Among them, 11.2% were diabetic and 7.7% reported smoking. Approximately 11.0% were using HR-reducing medication to control systemic arterial hypertension. In the exercise testing ( <xref rid="t1" ref-type="table">Table 1</xref> ), mean values of maximal HR, exercise time, and VO<sub>2</sub> were adequate for test interpretation.</p>
      <p>
        <table-wrap id="t1">
          <label>Table 1</label>
          <caption>
            <title>&#8211; Characteristics of participants and exercise testing parameters</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">Variable</th>
                <th>Value (n = 509)</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Age group [n (%)], years</td>
                <td> </td>
              </tr>
              <tr>
                <td> 46-55</td>
                <td align="center">231 (46.1%)</td>
              </tr>
              <tr>
                <td> 56-60</td>
                <td align="center">147 (29.3%)</td>
              </tr>
              <tr>
                <td> 61-65</td>
                <td align="center">123 (24.6%)</td>
              </tr>
              <tr>
                <td>Age (mean &#177; SD), years</td>
                <td align="center">56.4 &#177; 4.8</td>
              </tr>
              <tr>
                <td>BMI (mean &#177; SD), kg/m<sup>2</sup></td>
                <td align="center">27.8 &#177; 4.9</td>
              </tr>
              <tr>
                <td>Obesity [n (%)]</td>
                <td align="center">158 (31.1%)</td>
              </tr>
              <tr>
                <td>Diabetes [n (%)]</td>
                <td align="center">57 (11.2%)</td>
              </tr>
              <tr>
                <td>Systemic arterial hypertension [n (%)]</td>
                <td align="center">247 (48.5%)</td>
              </tr>
              <tr>
                <td>Dyslipidemia [n (%)]</td>
                <td align="center">211 (41.5%)</td>
              </tr>
              <tr>
                <td>Smoking [n (%)]</td>
                <td align="center">39 (7.7%)</td>
              </tr>
              <tr>
                <td>Coronary calcium score (mean &#177; SD)</td>
                <td align="center">21.4 &#177; 89.7</td>
              </tr>
              <tr>
                <td>CIMT (mean &#177; SD)], mm</td>
                <td align="center">0.6 &#177; 0.1</td>
              </tr>
              <tr>
                <td>HR-lowering medication [n (%)]</td>
                <td align="center">57 (11.2%)</td>
              </tr>
              <tr>
                <td>Exercise testing</td>
                <td> </td>
              </tr>
              <tr>
                <td> HR response (mean &#177; SD), bpm</td>
                <td align="center">74.4 &#177; 13.3</td>
              </tr>
              <tr>
                <td> Maximum HR (mean &#177; SD), bpm</td>
                <td align="center">152.5 &#177; 19.6</td>
              </tr>
              <tr>
                <td> HR recovery at 1 minute (mean &#177; SD), bpm</td>
                <td align="center">130.7 &#177; 19.3</td>
              </tr>
              <tr>
                <td> Chronotropic index (mean &#177;SD),%</td>
                <td align="center">88.4 &#177; 20.8</td>
              </tr>
              <tr>
                <td> Decreased HR recovery at 1 minute (mean &#177; SD), bpm</td>
                <td align="center">21.8 &#177;9.1</td>
              </tr>
              <tr>
                <td> Functional capacity (mean &#177; SD), %</td>
                <td align="center">104.1 &#177; 26.9</td>
              </tr>
              <tr>
                <td> Exercise time, (mean &#177;SD), minutes</td>
                <td align="center">7.4 &#177; 2.1</td>
              </tr>
              <tr>
                <td> VO<sub>2 </sub>(mean &#177; SD), METs</td>
                <td align="center">7.6 &#177; 2.0</td>
              </tr>
              <tr>
                <td> Arrhythmia [n (%)]</td>
                <td align="center">43 (9.9%)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN1">
              <p>
                <italic>BMI: body mass index; CIMT: carotid intima-media thickness; HR: heart rate; METs: metabolic equivalents; SD: standard deviation; VO</italic>
                <sub>
                  <italic>2</italic>
                </sub>
                <italic>: oxygen uptake</italic>
              </p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>Among the variables incorporated into the FRS for cardiovascular risk reclassification ( <xref rid="t2" ref-type="table">Table 2</xref> ), premature family history of acute myocardial infarction and/or sudden death was the most frequent (more than one-third of participants), followed by chronotropic index, with almost one-third of participants with values below 80% or 62% (in users of HR-lowering drugs). The lowest frequency was related to ST-segment depression, observed in 22 women (4.4%), of whom only 11 (2.2% of the total sample) had a horizontal or descending pattern (&gt;1 mm), suggestive of myocardial ischemia. According to the FRS strata, differences ( <italic>p</italic> &lt;0.05) were observed only in the distribution of the chronotropic index and carotid calcium score.</p>
      <p>
        <table-wrap id="t2">
          <label>Table 2</label>
          <caption>
            <title>&#8211; Prevalence of premature family history of cardiovascular events, exercise testing variables, and subclinical atherosclerosis markers in asymptomatic middle-aged women according to the Framingham Risk Score classification</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th rowspan="5" scope="col" align="left">Variable</th>
                <th colspan="10" scope="col" style="font-weight:normal">Framingham Risk Score<sup>*</sup></th>
                <th rowspan="5" scope="col" style="font-weight:normal">p<sup>&#8224;</sup></th>
              </tr>
              <tr>
                <th colspan="10" scope="col" style="font-weight:normal">
                  <hr/>
                </th>
              </tr>
              <tr>
                <th colspan="2" scope="col" style="font-weight:normal">Low</th>
                <th colspan="2" scope="col" style="font-weight:normal">Intermediate</th>
                <th colspan="2" scope="col" style="font-weight:normal">High</th>
                <th colspan="4" scope="col" style="font-weight:normal">Total</th>
              </tr>
              <tr>
                <th colspan="10" rowspan="1" scope="col" style="font-weight:normal">
                  <hr/>
                </th>
              </tr>
              <tr>
                <th scope="col" style="font-weight:normal">N</th>
                <th scope="col" style="font-weight:normal">%</th>
                <th colspan="2" rowspan="1" scope="col" style="font-weight:normal">N</th>
                <th scope="col" style="font-weight:normal">%</th>
                <th scope="col" style="font-weight:normal">N</th>
                <th scope="col" style="font-weight:normal">%</th>
                <th scope="col" style="font-weight:normal">N</th>
                <th colspan="2" scope="col" style="font-weight:normal">%</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="left">Premature family history of AMI and/or sudden death</td>
                <td align="left"> </td>
                <td align="left"> </td>
                <td colspan="2" align="left"> </td>
                <td align="left"> </td>
                <td align="left"> </td>
                <td align="left"> </td>
                <td align="left"> </td>
                <td align="left"> </td>
                <td colspan="2" align="left"> </td>
              </tr>
              <tr>
                <td align="left"> Yes</td>
                <td>146</td>
                <td>37.0</td>
                <td colspan="2" align="center">13</td>
                <td>41.9</td>
                <td>25</td>
                <td>37.9</td>
                <td>184</td>
                <td>37.4</td>
                <td colspan="2">0.856</td>
              </tr>
              <tr>
                <td align="left"> Not</td>
                <td>249</td>
                <td>63.0</td>
                <td colspan="2" align="center">18</td>
                <td>58.1</td>
                <td>41</td>
                <td>62.1</td>
                <td>308</td>
                <td>62.6</td>
                <td colspan="2" align="left"> </td>
              </tr>
              <tr>
                <td align="left">Chronotropic index</td>
                <td align="left"> </td>
                <td align="left"> </td>
                <td colspan="2" align="center"> </td>
                <td align="left"> </td>
                <td align="left"> </td>
                <td align="left"> </td>
                <td align="left"> </td>
                <td align="left"> </td>
                <td colspan="2" align="left"> </td>
              </tr>
              <tr>
                <td align="left"> Altered (&lt;62%<sup>&#8225;</sup>/&lt;80%)</td>
                <td>104</td>
                <td>25.9</td>
                <td colspan="2" align="center">14</td>
                <td>45.2</td>
                <td>22</td>
                <td>32.4</td>
                <td>140</td>
                <td>28.0</td>
                <td colspan="2">0.049</td>
              </tr>
              <tr>
                <td align="left"> Normal</td>
                <td>297</td>
                <td>74.1</td>
                <td colspan="2" align="center">17</td>
                <td>54.8</td>
                <td>46</td>
                <td>67.6</td>
                <td>360</td>
                <td>72.0</td>
                <td colspan="2" align="left"> </td>
              </tr>
              <tr>
                <td>Decreased HR recovery at 1 minute</td>
                <td> </td>
                <td> </td>
                <td colspan="2"> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td colspan="2"> </td>
              </tr>
              <tr>
                <td> Altered ( <underline>&lt;</underline> 12 bpm)</td>
                <td align="center">52</td>
                <td align="center">12.9</td>
                <td colspan="2" align="center">5</td>
                <td align="center">16.7</td>
                <td align="center">12</td>
                <td align="center">17.6</td>
                <td align="center">69</td>
                <td align="center">13.8</td>
                <td colspan="2" align="center">0.520</td>
              </tr>
              <tr>
                <td> Normal</td>
                <td align="center">350</td>
                <td align="center">87.1</td>
                <td colspan="2" align="center">25</td>
                <td align="center">83.3</td>
                <td align="center">56</td>
                <td align="center">82.4</td>
                <td align="center">431</td>
                <td align="center">86.2</td>
                <td colspan="2"> </td>
              </tr>
              <tr>
                <td>Functional capacity</td>
                <td> </td>
                <td> </td>
                <td colspan="2"> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td colspan="2"> </td>
              </tr>
              <tr>
                <td> Altered (&lt;85%)</td>
                <td align="center">90</td>
                <td align="center">22.4</td>
                <td colspan="2" align="center">8</td>
                <td align="center">25.8</td>
                <td align="center">20</td>
                <td align="center">29.4</td>
                <td align="center">118</td>
                <td align="center">23.6</td>
                <td colspan="2" align="center">0.430</td>
              </tr>
              <tr>
                <td> Normal</td>
                <td align="center">312</td>
                <td align="center">77.6</td>
                <td colspan="2" align="center">23</td>
                <td align="center">74.2</td>
                <td align="center">48</td>
                <td align="center">70.6</td>
                <td align="center">383</td>
                <td align="center">76.4</td>
                <td colspan="2"> </td>
              </tr>
              <tr>
                <td>ST-segment depression</td>
                <td> </td>
                <td> </td>
                <td colspan="2"> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td colspan="2"> </td>
              </tr>
              <tr>
                <td> Yes</td>
                <td align="center">15</td>
                <td align="center">3.7</td>
                <td colspan="2" align="center">1</td>
                <td align="center">3.2</td>
                <td align="center">6</td>
                <td align="center">8.8</td>
                <td align="center">22</td>
                <td align="center">4.4</td>
                <td colspan="2" align="center">0.157</td>
              </tr>
              <tr>
                <td> Not</td>
                <td align="center">387</td>
                <td align="center">96.3</td>
                <td colspan="2" align="center">30</td>
                <td align="center">96.8</td>
                <td align="center">62</td>
                <td align="center">91.2</td>
                <td align="center">479</td>
                <td align="center">95.6</td>
                <td colspan="2"> </td>
              </tr>
              <tr>
                <td>Coronary calcium score</td>
                <td> </td>
                <td> </td>
                <td colspan="2"> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td colspan="2"> </td>
              </tr>
              <tr>
                <td> Zero</td>
                <td align="center">264</td>
                <td align="center">76.5</td>
                <td colspan="2" align="center">13</td>
                <td align="center">52.0</td>
                <td align="center">41</td>
                <td align="center">71.9</td>
                <td align="center">318</td>
                <td align="center">74.5</td>
                <td colspan="2" align="center">0.022</td>
              </tr>
              <tr>
                <td> 1-99</td>
                <td align="center">68</td>
                <td align="center">19.7</td>
                <td colspan="2" align="center">8</td>
                <td align="center">32.0</td>
                <td align="center">9</td>
                <td align="center">15.8</td>
                <td align="center">85</td>
                <td align="center">19.9</td>
                <td colspan="2"> </td>
              </tr>
              <tr>
                <td><underline>&gt;</underline> 100</td>
                <td align="center">13</td>
                <td align="center">3.8</td>
                <td colspan="2" align="center">4</td>
                <td align="center">16.0</td>
                <td align="center">7</td>
                <td align="center">12.3</td>
                <td align="center">24</td>
                <td align="center">5.6</td>
                <td colspan="2"> </td>
              </tr>
              <tr>
                <td>CIMT</td>
                <td> </td>
                <td> </td>
                <td colspan="2"> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td colspan="2"> </td>
              </tr>
              <tr>
                <td><underline>&lt;</underline> 1 mm</td>
                <td align="center">360</td>
                <td align="center">89.6</td>
                <td colspan="2" align="center">27</td>
                <td align="center">87.1</td>
                <td align="center">55</td>
                <td align="center">80.9</td>
                <td align="center">442</td>
                <td align="center">88.2</td>
                <td colspan="2" align="center">0.120</td>
              </tr>
              <tr>
                <td> &gt;1 mm and/or carotid plaque</td>
                <td align="center">42</td>
                <td align="center">10.4</td>
                <td colspan="2" align="center">4</td>
                <td align="center">12.9</td>
                <td align="center">13</td>
                <td align="center">19.1</td>
                <td align="center">59</td>
                <td align="center">11.8</td>
                <td colspan="2"> </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN2">
              <p>
                <italic>AMI: acute myocardial infarction; HR: heart rate; CIMT: carotid intima-media thickness.</italic>
              </p>
            </fn>
            <fn id="TFN3">
              <p>
                <sup>
                  <italic>*</italic>
                </sup>
                <italic>Framingham Risk Score: low (&lt;5%), intermediate (5-10%), high (&gt;10%); </italic>
                <sup>
                  <italic>&#8224;</italic>
                </sup>
                <italic>p-value referring to the Pearson chi-square test; </italic>
                <sup>
                  <italic>&#8225;</italic>
                </sup>
                <italic>Chronotropic index &lt;62% only in women using heart rate-lowering medication. </italic>
              </p>
            </fn>
            <attrib>
              <italic>Note: Women with incomplete information were excluded from the analyses.</italic>
            </attrib>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>As shown in <xref rid="f02" ref-type="fig">Figure 1</xref> , about 6% of the women were classified as intermediate risk by the FRS. After the variables of interest were added, the percentage of women at this stratum increased, with the highest increment (to 33.3%) after the addition of premature family history of cardiovascular events, followed by low chronotropic index (24.2%) and impairment in functional capacity (22.2%) ( <xref rid="f02" ref-type="fig">Figure 1</xref> ). Regarding the percentage of women at high risk based on the FRS (13.6% of the women), after reclassification, it increased to 14.4% with the addition of one-minute HR recovery &#8804;12 bpm and to 17.1% with the addition of a calcium score &gt;0. The percentage of women at low risk based on the FRS (80.2%) decreased due to the migration of women to the strata of higher risk, from 80.2% to 50.6% when considering a premature family history of a cardiovascular event, and to 77.2% when considering the ST-segment depression.</p>
      <p>
        <fig id="f02">
          <label>Figure 1</label>
          <caption>
            <title>&#8211; Proportion of asymptomatic middle-aged women by Framingham Risk Score strata and by risk reclassification after addition of premature family history of cardiovascular event, exercise testing variables, and subclinical atherosclerosis markers</title>
            <p>
              <italic>FRS: Framingham Risk Score; AMI: acute myocardial infarction; HR: heart rate; CIMT: carotid intima-media thickness. </italic>
            </p>
            <p>
              <italic>*History of acute myocardial infarction (AMI) and/or sudden death in parents and/or siblings younger than 55 years (men) or 60 years (women); &#8224;Chronotropic index &lt;62% if using heart rate-lowering medication.</italic>
            </p>
          </caption>
          <graphic xlink:href="2359-5647-ijcs-34-04-0383-00414-gf02.tif"/></fig>
      </p>
      <p>With the incorporation of the variables used to reclassify cardiovascular risk of asymptomatic middle-aged women ( <xref rid="f03" ref-type="fig">Figure 2</xref> ), the total increase in risk (low to intermediate and intermediate to high) ranged from 3.0% (ST-segment depression) to 29.7% (premature family history of cardiovascular event). For all variables considered, the highest increment occurred in the intermediate-risk stratum.</p>
      <p>
        <fig id="f03">
          <label>Figure 2</label>
          <caption>
            <title>&#8211; Increase in cardiovascular risk by the addition of premature family history of cardiovascular events, exercise testing variables, and subclinical atherosclerosis markers to the Framingham Risk Score in asymptomatic middle-aged women</title>
            <p>
              <italic>FRS: Framingham Risk Score; AMI: acute myocardial infarction; HR: heart rate; CIMT: carotid intima-media thickness </italic>
            </p>
            <p>
              <italic>*FRS: Framingham Risk Score; &#8224;History of acute myocardial infarction (AMI) and/or sudden death in parents and/or siblings younger than 55 years (men) or 60 years (women); &#8225;Chronotropic index &lt;62% if using heart rate-lowering medication</italic>
            </p>
          </caption>
          <graphic xlink:href="2359-5647-ijcs-34-04-0383-00414-gf03.tif"/></fig>
      </p>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>This study demonstrated that adding the variables premature family history of cardiovascular events, exercise test parameters, and markers of subclinical atherosclerosis to the FRS provided a cardiovascular risk reclassification in asymptomatic, middle-aged women. Among the seven variables used, ST-segment depression contributed to the smallest increase (3%) in cardiovascular risk when added to the FRS, while other variables like premature family history of cardiovascular events (about 30%) and altered chronotropic index (about 21%) contributed to the largest increases.</p>
      <p>Despite the recognized importance of the FRS, studies<sup><xref rid="B3" ref-type="bibr">3</xref> , <xref rid="B27" ref-type="bibr">27</xref> , <xref rid="B29" ref-type="bibr">29</xref> </sup> have drawn attention to the use of some variables for reclassification of the cardiovascular risk in middle-aged women, since although most of them are classified as low risk by the FRS, some are affected by acute myocardial infarction, even without previous symptoms. Thus, for women at low or intermediate risk based on the FRS, with one or more risk factors or a positive family history, the addition of other variables to the risk score may identify and benefit those most vulnerable to cardiovascular events.<sup><xref rid="B39" ref-type="bibr">39</xref></sup></p>
      <p>Several variables have been proposed for reclassification of cardiovascular risk estimated by the FRS,<sup><xref rid="B3" ref-type="bibr">3</xref> , <xref rid="B27" ref-type="bibr">27</xref> , <xref rid="B29" ref-type="bibr">29</xref> </sup> varying from simple clinical history to more complex methods that are expensive or require advanced technology, such as cardiac imaging tests. The variables analyzed in the present study were previously shown to be associated with severe outcomes,<sup><xref rid="B3" ref-type="bibr">3</xref> , <xref rid="B11" ref-type="bibr">11</xref> , <xref rid="B16" ref-type="bibr">16</xref> - <xref rid="B18" ref-type="bibr">18</xref> , <xref rid="B23" ref-type="bibr">23</xref> , <xref rid="B26" ref-type="bibr">26</xref> , <xref rid="B29" ref-type="bibr">29</xref> </sup>including death, acute myocardial infarction, and stroke. Five of the seven variables showed a homogeneous distribution between the FRS strata, which reinforces the possible benefit of their addition to this traditional risk score.</p>
      <p>A premature family history of cardiovascular events in parents and siblings has been independently associated with a higher incidence of cardiovascular events, even in women classified as low risk by the FRS.<sup><xref rid="B1" ref-type="bibr">1</xref> , <xref rid="B13" ref-type="bibr">13</xref> , <xref rid="B40" ref-type="bibr">40</xref> , <xref rid="B41" ref-type="bibr">41</xref> </sup> This is a class I variable in asymptomatic individuals<sup><xref rid="B10" ref-type="bibr">10</xref></sup> obtained during the initial evaluation, regardless of other exams and at no additional cost.</p>
      <p>The predictive factors of mortality, although easily assessed in exercise testing, are not always considered important in the interpretation of the test results, including in asymptomatic women,<sup><xref rid="B26" ref-type="bibr">26</xref> , <xref rid="B29" ref-type="bibr">29</xref> , <xref rid="B42" ref-type="bibr">42</xref> </sup> and are not considered for primary prevention. As noted in this study, about one-fifth of asymptomatic middle-aged women would be more closely monitored for their cardiovascular risk if abnormalities in the chronotropic index or functional capacity were added to the FRS. A low functional capacity is potentially reversible by physical activity programs aimed to reduce cardiovascular risk.<sup><xref rid="B26" ref-type="bibr">26</xref> , <xref rid="B33" ref-type="bibr">33</xref> , <xref rid="B34" ref-type="bibr">34</xref> , <xref rid="B43" ref-type="bibr">43</xref> , <xref rid="B44" ref-type="bibr">44</xref> </sup> On the other hand, a good functional capacity is indicative of better prognosis, even in the presence of ischemia, elevated calcium score, or anatomical coronary disease.<sup><xref rid="B34" ref-type="bibr">34</xref> , <xref rid="B45" ref-type="bibr">45</xref> , <xref rid="B46" ref-type="bibr">46</xref> </sup> Also, the finding of a good functional capacity, can avoid the overvaluation of eventual ST-segment depression and the subsequent performance of unnecessary or even harmful exams.</p>
      <p>In relation to the coronary calcium score and CIMT, studies<sup><xref rid="B3" ref-type="bibr">3</xref> , <xref rid="B11" ref-type="bibr">11</xref> , <xref rid="B12" ref-type="bibr">12</xref> </sup> have shown that they add independent prognostic information to the FRS. In the present study, the increment in cardiovascular risk by the addition of CIMT &gt;1 mm and/or carotid plaque to the FRS was lower than that observed with the addition of a carotid calcium score &gt;0. However, access to both tests may be costly and not possible in clinical practice. In this case, we consider the CIMT due to the higher feasibility and lack of radiation exposure.</p>
      <p>Among the strengths of the study, our study population consisted of middle-aged women whose complaints may go unmonitored and uninvestigated, despite the increase in the prevalence and severity of cardiovascular diseases in this group.<sup><xref rid="B3" ref-type="bibr">3</xref> , <xref rid="B4" ref-type="bibr">4</xref> , <xref rid="B40" ref-type="bibr">40</xref> </sup> Middle-aged women have relatively low participation rates in clinical trials and scientific guidelines.<sup><xref rid="B47" ref-type="bibr">47</xref> , <xref rid="B48" ref-type="bibr">48</xref> </sup> In addition, we analyzed variables that are easily measured by exercise testing but not always valued in clinical practice.<sup><xref rid="B21" ref-type="bibr">21</xref> - <xref rid="B23" ref-type="bibr">23</xref> , <xref rid="B49" ref-type="bibr">49</xref> </sup> It should be emphasized that exercise testing is a widespread, low-cost method, that does not involve radiation, with proven accuracy in different populations, including asymptomatic women.<sup><xref rid="B20" ref-type="bibr">20</xref> , <xref rid="B24" ref-type="bibr">24</xref> , <xref rid="B30" ref-type="bibr">30</xref> </sup> In this study, exercise testing was symptom-limited, rather than by maximal HR, which could have underestimated functional capacity.<sup><xref rid="B29" ref-type="bibr">29</xref> , <xref rid="B30" ref-type="bibr">30</xref> </sup></p>
      <p>In the present study, we evaluated whether the addition of certain variables to the FRS would improve risk classification in asymptomatic middle-aged women, and propose that premature family history of cardiovascular events should be the first factor to be evaluated by clinicians in women classified at low or intermediate risk based on the FRS. Then, after risk reclassification, these women would undergo exercise testing and carotid artery ultrasound for assessment of markers of subclinical atherosclerosis, including the CIMT, and calcium score testing. In each stage, stricter recommendations for periodic follow-up and primary prevention strategies are recommended to early identify those women at higher risk of cardiovascular events.</p>
      <p>This study was limited by its cross-sectional design, and the absence of monitoring the effect of adding family history, exercise testing parameters and subclinical atherosclerosis markers on cardiovascular outcomes of these women over time. However, the selection of variables for risk reclassification was based on cohort studies that evaluated severe outcomes such as death, acute myocardial infarction, and stroke.<sup><xref rid="B3" ref-type="bibr">3</xref> , <xref rid="B11" ref-type="bibr">11</xref> , <xref rid="B16" ref-type="bibr">16</xref> - <xref rid="B18" ref-type="bibr">18</xref> , <xref rid="B26" ref-type="bibr">26</xref> , <xref rid="B29" ref-type="bibr">29</xref> </sup> It is also worth noting that all variables used in the present study to reclassify cardiovascular risk in asymptomatic middle-aged women are currently recommended in national and international guidelines as factors for consideration in risk assessments.<sup><xref rid="B4" ref-type="bibr">4</xref> , <xref rid="B9" ref-type="bibr">9</xref> , <xref rid="B10" ref-type="bibr">10</xref> , <xref rid="B20" ref-type="bibr">20</xref> </sup></p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusions</title>
      <p>In asymptomatic middle-aged women, the study revealed an increase of 3.0-29.7% in cardiovascular risk estimated by the FRS with the addition of premature family history of acute myocardial infarction and/or sudden death, mortality predictive factors assessed by exercise testing, and subclinical atherosclerosis markers. This enabled risk reclassification of women classified as low or intermediate risk based on the FRS, and the possibility for a more effective control and reduction of the risk for cardiovascular events in this group of asymptomatic women.</p>
    </sec>
  </body>
  <back>
    <ack>
      <title>Acknowledgements</title>
      <p>The authors are grateful to the staff of Pernambuco Cardiac Emergency Center ( <italic>Pronto Socorro Cardiol&#243;gico de Pernambuco</italic> ) and the Oswaldo Cruz University Hospital Study Center, both linked to the University of Pernambuco (Recife &#8211; PE, Brazil), for their collaboration and support in the development of the study.</p>
    </ack>
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            <etal>et al</etal>
          </person-group>
          <article-title>Avalia&#231;&#227;o cr&#237;tica sobre acur&#225;cia do teste ergom&#233;trico na pr&#225;tica cl&#237;nica: experi&#234;ncia de centro &#250;nico</article-title>
          <source> Rev Bras Cardiol </source>
          <year>2012</year>
          <volume>25</volume>
          <issue>3</issue>
          <fpage>177</fpage>
          <lpage>184</lpage>
        </element-citation>
      </ref>
    </ref-list>
    <fn-group>
      <fn fn-type="other">
        <p>Study Association</p>
        <p>This article is part of the doctoral thesis submitted by Ricardo Quental Coutinho to the University of Pernambuco.</p>
      </fn>
      <fn fn-type="other">
        <p>Ethics approval and consent to participate</p>
        <p>This study was approved by the Brazilian National Ethics Committee Registry, CAAE n. 0159.0.106.106-11. The research was conducted according to the principles of the Declaration of Helsinki (2013). Written informed consent was obtained from all participants included in the study, who were assured of adequate symptom control or changes in subclinical atherosclerosis markers, if required.</p>
      </fn>
    </fn-group>
    <fn-group>
      <fn fn-type="financial-disclosure" id="fn6">
        <p><bold>Sources of Funding</bold>:  The study was partially funded by the <italic>Funda&#231;&#227;o de Amparo &#224; Ci&#234;ncia e Tecnologia do Estado de Pernambuco</italic> (Brazil) - Facepe (process number: APQ-1386-4.00/08).</p>
      </fn>
    </fn-group>
  </back>
</article>
