Predictors of In-Hospital Mortality in Patients with Acute Coronary Syndrome in Hasan Sadikin Hospital, Bandung, Indonesia: A Retrospective Cohort Study

Abstract

Background: Acute coronary syndrome (ACS) is a world health problem with a high mortality rate and is expected to continue to rise in number. The high ACS mortality rate in the hospital is influenced by demographic characteristics, cardiovascular risk factors, clinical presentation, and management. This study aimed to determine the predictors of ACS death at Dr. Hasan Sadikin Hospital Bandung as the highest referral center in West Java. Methods: This study is a retrospective cohort study on all ACS patients undergoing treatment at Dr. Hasan Sadikin Hospital Bandung from January 2018 to December 2019. Multivariate analysis was performed using a logistic regression test with the backward method to assess predictors of patient outcomes. Results: This study involved 919 patients with the in-hospital mortality rate was 10.6%. Multivariate analysis showed that age >65 years was a demographic factor that play a role as a predictor of mortality mortality (AOR 2.143; 95% CI = 1.079-4.256; p = 0.030). Clinical presentation of cardiac arrest arrest (AOR 48.700; 95% CI =14.289-165.980; p100 beats per minute (AOR 4.285; 95% CI =2.209-8.310; p100 beats per minute, and age >65 years. Administration of statins, beta-blockers, PCI, and smoking are factors that reduce the risk of death.

Keywords

• hospital death
• predictor
• acute coronary syndrome