Predictive Value of Prothrombin Time for All-cause Mortality in Acute Myocardial Infarction Patients^.

Area of Science:

• Cardiology
• Clinical Research
• Biomarkers

Background:

• Acute myocardial infarction (AMI) poses a significant threat due to coronary artery ischemia and anoxia.
• Current risk models for AMI patients require enhancement for improved prediction of mortality.
• Identifying reliable predictors is crucial for effective patient management.

Purpose of the Study:

• To evaluate the predictive capability of prothrombin time (PT) for all-cause mortality in patients with AMI.
• To develop and validate a comprehensive risk model for AMI mortality incorporating PT.
• To assess the independent prognostic value of PT in the context of other risk factors.

Main Methods:

• Analysis of 2734 AMI patients from the MIMIC III clinical database with 2-year follow-up data.
• Multivariate Cox proportional hazards regression analysis to identify significant predictors of mortality.
• Development of a comprehensive risk prediction model integrating PT and over 20 other covariates.

Main Results:

• Prothrombin time (PT) was identified as a significant independent risk factor for 2-year all-cause mortality in AMI patients (aHR=4.04, 95% CI: 2.83-5.75).
• The comprehensive risk model, including PT, demonstrated strong predictive accuracy with an AUC of 0.843.
• PT significantly improved the model's ability to predict mortality in AMI patients.

Conclusions:

• Prothrombin time (PT) is an independent predictor of 2-year mortality in patients with acute myocardial infarction (AMI).
• The integration of PT into risk assessment models can enhance the identification of high-risk AMI patients.
• PT may serve as a valuable biomarker for stratifying mortality risk in AMI populations.