Predicting death after acute myocardial infarction

Trends Cardiovasc Med. 2018 Feb;28(2):102-109. doi: 10.1016/j.tcm.2017.07.011. Epub 2017 Aug 2.

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.

Keywords: Acute Myocardial Infarction; Mortality; Risk factors; Risk models; Risk prediction.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Clinical Decision-Making
  • Comorbidity
  • Decision Support Techniques*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Myocardial Infarction / diagnosis
  • Myocardial Infarction / mortality*
  • Myocardial Infarction / physiopathology
  • Myocardial Infarction / therapy
  • Predictive Value of Tests
  • Prognosis
  • Risk Assessment
  • Risk Factors
  • Sex Factors