Coronary Artery Diseases

IJCS

Editorial

Elevated Lipoprotein(A) in Children and Adolescents: Early Identification is Key for Successful Intervention

Over the last decades, numerous studies have demonstrated that elevated lipoprotein (Lp)(a) is a powerful and independent risk factor for coronary heart disease,^, ischemic stroke, and calcific aortic stenosis. Even in patients treated with statins who achieve LDL-cholesterol goals below 70 mg/dL, elevated Lp(a) levels remain independently related to an increased risk of atherosclerotic events.

The LDL particle has a unique molecular structure, as exemplified by its covalent bond with an apolipoprotein(a) that bears resemblance to plasminogen and may well represent an evolutionary deviation of this well-known plasmin precursor. Lp(a) is synthesized by the liver and the amount of circulating particles in the bloodstream is almost exclusively determined by inheritance, leaving very little space for environmental influence. The distribution of Lp(a) levels in the population is highly skewed with approximately 80% of people exhibiting plasma concentrations below 50 mg/dL, and the remaining 20% with a wide range of values above that limit.

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IJCS

Original Article

The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis

Suat Gormel et al. Uygar Cagdas Yuksel Murat Celik Salim Yasar … Erkan Yildirim Baris Bugan Yalcin Gokoglan Hasan Kutsi Kabul Salim Yasar Mustafa Köklü Cem Barçın

Abstract

Background

Comparative data on the performance of cardiovascular risk scoring systems (CRSSs) in patients with severe coronary artery disease (CAD) are lacking.

Objectives

To compare different CRSSs regarding their ability to discriminate patients with severe CAD.

Method

A total of 414 patients (297 men; 61.3±12.3 years of age) undergoing coronary angiography were enrolled and evaluated for major risk factors. Cardiovascular risk and risk category were defined for each patient using the Framingham, Systemic Coronary Risk Evaluation (SCORE), and Pooled Cohort Risk Assessment Equation (PCRAE) tools. Severe CAD was defined as ≥ 50% stenosis in at least one major coronary artery and/or previous coronary stenting or coronary artery bypass grafting. A p < 0.05 was considered statistically significant.

Results

Severe CAD was identified in 271 (65.4%) patients. The ROC curves of the 3 CRSSs for predicting severe CAD were compared and showed no significant difference: the area under the ROC curve was 0.727, 0.694, and 0.717 for the Framingham, SCORE, and PCRAE tools, respectively (p > 0.05). However, when individual patients were classified as having low, intermediate, or high cardiovascular risk, the rate of patients in the high-risk group was significantly different between the PCRAE, Framingham, and SCORE tools (73.4%, 27.5%, and 37.9%, respectively; p < 0.001).

Discussion

PCRAE had higher positive and negative predictive values for detecting severe CAD in high-risk patients than the Framingham and SCORE tools.

Conclusion

We can speculate that currently used CRSSs are not sufficient, and new scoring systems are needed. In addition, other risk factors, such as serum creatinine, should be considered in future CRSSs. Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0

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IJCS

Original Article

Performance of a Hematological Scoring System in Predicting All-Cause Mortality in Patients with Acute Myocardial Infarction

José Gildo de Moura Monteiro Júnior et al. Dilênia de Oliveira Cipriano Torres Maria Cleide Freire Clementino da Silva Tácio Rian Nogueira Príncipe … Rhayssa Barbosa de Vasconcelos Maria Eduarda Cavalcanti de Brito Maria Alice Aquino Limeira Ana Célia Oliveira dos Santos Ulisses Ramos Montarroyos Dário Celestino Sobral Filho

Abstract

Background:

The presence of nucleated red blood cells (NRBCs) and increases in mean platelet volume (MPV) and neutrophil to lymphocyte ratio (NLR) in peripheral circulation are associated with poorer prognosis in patients with acute coronary disease.

Objective:

We developed a scoring system for in-hospital surveillance of all-cause mortality using hematological laboratory parameters in patients with acute myocardial infarction (AMI).

Methods:

Patients admitted for AMI were recruited in this prospective study. Exclusion criteria were age younger than 18 years, glucocorticoid therapy, cancer or hematological diseases and readmissions. NRBCs, MPV and NLR were measured during hospitalization. The scoring system was developed in three steps: first, the magnitude of the association of clinical and laboratory parameters with in-hospital mortality was measured by odds ratio (OR), second, a multivariate logistic regression model was conducted with all variables significantly (p < 0.05) associated with the outcome, and third, a β-coefficient was estimated by multivariate logistic regression with hematological parameters with a p < 0.05.

Results:

A total of 466 patients (mean age were 64.2 ± 12.8 years, 61.6% male) were included in this study. A hematological scoring system ranging from 0 to 49, where higher values were associated with higher risk of in-hospital death. The best performance was registered for a cut-off value of 26 with sensitivity of 89.1% and specificity of 67.2%, positive predictive value of 26.8% (95% CI: 0.204 – 0.332) and negative predictive value of 97.9% (95% CI: 0.962 – 0.996). The area under the curve for the scoring system was 0.868 (95% CI: 0.818 – 0.918).

Conclusions:

Here we propose a hematological scoring system for surveillance tool during hospitalization of patients with acute myocardial infarction. Based on total blood count parameters, the instrument can evaluate inflammation and hypoxemia due to in-hospital complications and, consequently, predict in-hospital mortality.

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Elevated Lipoprotein(A) in Children and Adolescents: Early Identification is Key for Successful Intervention

The Role of Cardiovascular Risk Factors and Risk Scoring Systems in Predicting Coronary Atherosclerosis

Abstract

Background

Objectives

Method

Results

Discussion

Conclusion

Performance of a Hematological Scoring System in Predicting All-Cause Mortality in Patients with Acute Myocardial Infarction

Abstract

Background:

Objective:

Methods:

Results:

Conclusions:

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