Publication Details

AFRICAN RESEARCH NEXUS

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Predictive factors of heart failure in acute coronary syndrome: Institutional cross-sectional study

Annals of Medicine and Surgery, Volume 81, Article 104332, Year 2022

Background: Heart failure complicating acute coronary syndrome (ACS) remains a challenge because it is associated with a high risk of mortality at 1 year. Our objective is to highlight the factors frequently associated with heart failure following an ACS and thus deduce the predictive factors for the occurrence of heart failure. Methods: ACS patients who were managed between 01/01/2021 to 06/30/2021 at the authors’ institution were included retrospectively in the analysis. Results: One hundred twenty-one patients (121) included. Eighty-seven were males (72%), and the mean age was 59.4 ± 8.8. Most patients were smokers (58.7%),40% were diabetic, and 40.5% were hypertensive. Dyslipidemia was found in 37.2% of cases. 75% of patients were admitted for STEMI, and 25% for NSTEMI. The majority of patients (67.5%) were admitted out of time. The anterior electrical territory was found as a factor in the occurrence of heart failure (OR = 5.47, 95% CI (2.16–15.26), P = 0.0005). Among the patients who presented a heart failure, 64% had an LVEF <40%, and only 3% with an LVEF >50% (P < 0.001). Also, 76% had a Wall Motion Index Score (WMSI) of 1.5 (P < 0.001). Angioplasty was the treatment of choice in 65%, aortocoronary bypass in 7% of cases, and medical treatment alone, associated or not with ischemia/viability tests in 28% of cases. Patients admitted out of time (>12 h) were found to be a factor in the occurrence of HF (OR = 3.31,95% CI (1.21–10,60), P = 0.02). The outcome was favorable in 93% of cases. We observed 9 cases of complications including 4 deaths from cardiogenic, septic, and hemorrhagic shock. Conclusions: This study allows us to identify patients at risk of developing heart failure and patients with a more reserved prognosis. Besides, our findings will allow our peers and colleagues to be able to detect early these factors and optimize adequate management to avoid heart failure.
Statistics
Citations: 7
Authors: 7
Affiliations: 3
Identifiers
Research Areas
Noncommunicable Diseases
Study Design
Cross Sectional Study
Study Approach
Quantitative