Abstract
OBJECTIVE: Current scoring systems for short-term prognosis in patients with acute myocardial infarction (AMI) lack coverage of risk factors and have limitations in risk stratification. The aim of this study was to develop a novel assessment system based on laboratory indicators and frailty quantification to better infer short-term prognosis and risk indication in patients with AMI. METHODS: A total of 365 patients with MI from January 2022 to June 2023 in Northern Jiangsu Province Hospital were included. The primary endpoint was all-cause mortality and major adverse cardiac events (MACE) during follow-up. A novel scoring model ranging from 0 to 12 was constructed, and the predictive ability of this scoring system was evaluated using the area under the receiver operating characteristic curve (AUC). RESULTS: During follow-up, 68 patients experienced MACE. Five scoring indicators were selected through multivariate logistic regression analysis, resulting in a composite score with an AUC of 0.925, demonstrating good prognostic accuracy. CONCLUSION: The novel prognostic assessment system, which integrates age, Stress Hyperglycemia Ratio (SHR), Neutrophil to Lymphocyte Ratio (NLR), lactate, and frailty score, exhibits good predictive value for short-term MACE in patients with acute myocardial infarction and may enable more accurate risk classification for future use in MI patient risk management.