ArticleInternational journal of general medicine2025
Prediction of First-Onset Cerebral Infarction Risk in Patients with Acute Myocardial Infarction: A Retrospective Cohort Study.
Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The occurrence of cerebral infarction significantly increases the risk of major adverse cardiovascular events in patients with acute myocardial infarction (AMI), highlighting the importance of early identification and intervention. Currently, no validated tools exist for individualized risk stratification of cerebral infarction (CI) in patients with AMI. Objective: This study aimed to identify the most valuable predictors (MVPs) of in-hospital first-onset CI in AMI patients and construct a nomogram for risk stratification. Methods: This retrospective cohort study enrolled 1,350 AMI patients admitted to the Cardiovascular Center of Meizhou People's Hospital between January and December 2022. Clinical characteristics and laboratory parameters were analyzed. Least Absolute Shrinkage and Selection Operator regression (LASSO) was used to select MVPs. The nomogram was developed by integrating coefficients of MVPs from logistic regression, and its discrimination, calibration, and clinical utility were validated in the cohort. The optimal cutoff value of the nomogram probability was determined. Results: CI occurred in 60 patients (4.44%). MVPs included Killip classification ( Conclusion: The first nomogram integrating multimodal predictors for discerning AMI patients who will experience in-hospital first-onset CI was developed and validated, which will aid clinicians in clinical decision-making.
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