Key result
Myocardial infarction was a strong predictor of coronary artery disease severity in patients with acute coronary syndrome, significantly increasing the odds of a positive Gensini score (OR 3.98).
Why the study?
ACS is a major cause of mortality worldwide, prompting evaluation of the correlation between CAD severity and conventional risk factors in ACS patients.
Cohort (n=18,862)
No
Traditional cardiovascular risk factors, particularly diabetes, male sex, and presentation with myocardial infarction, are strongly correlated with greater angiographic severity of coronary artery disease in patients with acute coronary syndrome.
Answers are grounded in this paper and cite their sources.
Associates classic risk factors with CAD severity in ACS; hypothesis-generating and requires prospective validation before guiding care.
BACKGROUND: Acute coronary syndrome (ACS) is one of the main causes of mortality worldwide. We sought to evaluate the correlation between the severity of coronary artery disease (CAD) and conventional coronary artery risk factors in a large cohort of patients with ACS. METHODS: This study included all patients admitted to the coronary care unit with a diagnosis of ACS between 2003 and 2017. The patients were divided into 2 groups: 1) unstable angina and 2) myocardial infarction. The aims of this study were to evaluate the effects of the risk factors and extension of coronary artery stenosis in patients with ACS according to the Gensini score. RESULTS: Of a total 40 319 patients who presented with ACS, 18 862 patients (mean age =60.4±11.14 y, male: 67.2%) underwent conventional coronary angiography and met our criteria to enter the final analysis. The median of the Gensini score was 50 (25-88) in the study population. The multivariable analysis showed that age, sex, diabetes mellitus, hypertension, dyslipidemia, family history, cigarette smoking, opium consumption, and myocardial infarction increased the risk of positive Gensini scores. All the aforementioned risk factors, except cigarette smoking and opium consumption, increased the severity of stenosis in those with positive Gensini scores. The strongest relationship was seen vis-à-vis myocardial infarction, sex, and diabetes mellitus. CONCLUSION: Our findings suggest that age, sex, diabetes mellitus, dyslipidemia, hypertension, family history, and myocardial infarction have significant effects on the severity of CAD. The obesity paradox in relation to CAD should be taken into consideration and needs further investigation in patients with ACS.
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Omidi et al. (2021) conducted a cohort in Acute coronary syndrome (n=18,862). Myocardial infarction vs. Unstable angina was evaluated on Positive Gensini score (>0) (OR 3.98, 95% CI 3.31-4.79, p=<0.001). Myocardial infarction was a strong predictor of coronary artery disease severity in patients with acute coronary syndrome, significantly increasing the odds of a positive Gensini score (OR 3.98).
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