Tianqing Cao,1,* Fei Liu,2,* Yan Yao,2 Danghong Sun,2 Rong Wang,3 Junxia Cao,3 Jie Meng,2 Ling Zhang,4 Weiming Li1 

1Shanghai Tenth People’s Hospital, Clinical Medical College of Nanjing Medical University, Nanjing, People’s Republic of China; 2Department of Cardiology, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu, People’s Republic of China; 3Department of Pulmonology, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu, People’s Republic of China; 4Department of Nursing, Changshu No.2 People’s Hospital/Affiliated Changshu Hospital of Nantong University, Changshu, Jiangsu, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Weiming Li; Ling Zhang, Email 18917683469@189.cn; nancy120312@163.com

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.

Keywords: myocardial infarction, frailty index, major adverse cardiac events, prognosis, cohort study