Predictive factors for mortality in acute mesenteric ischemia.

Objectives: Acute mesenteric ischemia (AMI) is a rare disease with a relatively high mortality rate. We aimed to investigate the factors influencing in-hospital mortality in AMI patients and develop a nomogram for early risk stratification. Methods: Clinical data of AMI patients hospitalized from January 2013 to October 2025 were retrospectively analyzed. Univariate and multivariate logistic regression identified independent pre-treatment risk factors, and a nomogram was constructed. Discrimination, calibration, and clinical utility were evaluated using receiver operating characteristic curve analysis, Hosmer-Lemeshow test, calibration curves, and decision curve analysis (DCA), with Bootstrap internal validation. Subgroup validation was performed by age, sex, and other subgroups. A further adjusted multivariate model examined associations of early clinical characteristics and treatments with mortality. Results: Among 235 patients, 44 died in hospital (18.7%). Advanced age, heart failure, higher white blood cell (WBC), and creatinine were independent predictors. The model showed good discrimination (Bootstrap area under the curve: 0.849, 95% CI: 0.780-0.909) and fit (Hosmer-Lemeshow: Conclusions: This study identified risk factors for in-hospital mortality in AMI patients and developed a predictive nomogram model. This aids in early high-risk patient identification, timely intervention, optimized treatment decisions, and improved patient outcomes.