1. Predicting death after acute myocardial infarction
- Author
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Robert L. McNamara, Yulanka Castro-Dominguez, and Kumar Dharmarajan
- Subjects
Male ,medicine.medical_specialty ,Clinical Decision-Making ,Myocardial Infarction ,Comorbidity ,030204 cardiovascular system & hematology ,Risk Assessment ,Decision Support Techniques ,03 medical and health sciences ,Sex Factors ,0302 clinical medicine ,Predictive Value of Tests ,Risk Factors ,Clinical information ,medicine ,Risk of mortality ,Humans ,030212 general & internal medicine ,Myocardial infarction ,Intensive care medicine ,Aged ,Aged, 80 and over ,business.industry ,Age Factors ,Middle Aged ,Prognosis ,medicine.disease ,Risk stratification ,Female ,Presentation (obstetrics) ,Cardiology and Cardiovascular Medicine ,business - Abstract
Recognizing and understanding the risk factors for mortality after acute myocardial infarction (AMI) provide clinicians and patients important information to determine prognosis and guide treatment. Most risk stratification models use demographic and clinical information that exists prior to hospitalization plus clinical presentation characteristics to estimate a patient's risk of mortality. In this review, we summarize the most important risk factors and discuss current models to predict mortality.
- Published
- 2018
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