A Revised PADMA Scoring System for Predicting in-Hospital Mortality in Acute Coronary Syndrome Patient

BACKGROUND: In order to predict in-hospital mortality in ACS (Acute Coronary Syndrome) patients based solely on clinical examination, this study compares the shock index (heart rate divided by systolic blood pressure) variable in PADMA (PADjadjaran Mortality in Acute Coronary Syndrome) with the modified shock index (heart rate divided by mean arterial pressure) score. The predictive efficacy of the PADMA score in predicting in-hospital mortality in ACS patients has been in doubt up until recently. METHODS: All ACS patients above the age of 18 who were admitted to Dr. Hasan Sadikin Central General Hospital between January 2018 and January 2023 were included in this retrospective observational cohort study. This study did not involve any interventions, and verbal informed permission was obtained with the Hasan Sadikin Hospital Ethic Committee’s approval. Multivariate logistic regression was used to gather and evaluate patient demographic, comorbidity, and clinical presentation data in order to provide two scoring systems (probability and cut-off models) that can be used to predict in-hospital all-cause death. The Fisher Z test was used to assess the area under the curve (AUC) between the PADMA SI (shock index) and PADMA MSI (modified shock index). RESULTS: Killip classifications III and IV, tachycardia, a high shock index, and older age were found to be independent mortality predictors and were included to the PADMA MSI score by multivariate regression analysis of 1504 people. PADMA SI score >8 has a sensitivity of 67.92% and a specificity of 84.01% for predicting all-cause death. The range of the PADMA SI score is 0 to 19. The AUC between the PADMA MSI and PADMA SI scores did not differ significantly (p=0.022). CONCLUSION: Similar to the PADMA SI score, the PADMA MSI score >8 demonstrated an accurate discriminative power to forecast in-hospital mortality though it did not have significant statistic difference.