Risk Factors for Predicting Mortality among Old Patients with Acute Myocardial Infarction during Hospitalization

Objective: To explore the risk factors to predict mortality among acute myocardial infarction (AMI) patients aged ≥ 80 years during their hospitalization. Methods: A cohort of AMI patients aged ≥ 80 years hospitalized in our hospital were recruited from 2005 to 2014. Variables, including demographics, medical history, hemodynamic condition and laboratory results, were collected and analyzed to find risk factors predicting mortality during hospitalization. Results: Amonga total of 384 patients enrolled in this study, the hospital mortality rate was 23.4%. By multivariable stepwise regression analysis, nine independent significant predictors associated with mortality during hospitalization were identified: history of stoke, cardiac shock, Killip class III to IV, ventricular tachycardia, pulse rate ≥ 100 bpm and EF ≤ 40% at presentation, in-hospital bleeding, initial serum creatinine concentration ≥ 177 umol/L and elevated initial WBC level. Prior angina was identified as a protective factor. Hosmer-Lemeshow test indicated good fitness of the predicting variables. Conclusion: Patients aged 80 and over have high mortality during hospitalization, and the risk prediction factors are clinically useful for predicting mortality in old patients with AMI.