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Predicting death after acute myocardial infarction
- Source :
- Trends in Cardiovascular Medicine. 28:102-109
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
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.
- 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
Subjects
Details
- ISSN :
- 10501738
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Trends in Cardiovascular Medicine
- Accession number :
- edsair.doi.dedup.....6340e5bdbf18b57b049f9d3b61c4b3f3
- Full Text :
- https://doi.org/10.1016/j.tcm.2017.07.011