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Prognostic indicators and generation of novel risk equations for estimation of 10-year and 20-year mortality following acute coronary syndrome.
- Source :
- Postgraduate Medical Journal; May2017, Vol. 93 Issue 1099, p245-249, 5p, 6 Charts
- Publication Year :
- 2017
-
Abstract
- <bold>Objectives: </bold>Although risk assessment is an integral part of management, there are currently no risk calculators of long-term mortality after acute coronary syndrome (ACS). The aim was to provide risk equations for 10-year and 20-year mortality following ACS.<bold>Methods: </bold>Patients hospitalised with ACS from December 1990 to June 1994 were recruited and followed up through 31 December 2012.<bold>Results: </bold>The study followed 881 patients for 10 years and 712 patients for 20 years. Using Cox regression analysis, 20-year all-cause mortality was associated with myocardial infarction (MI) in the index admission, age and diabetes mellitus (DM). Twenty-year cardiovascular disease (CVD) and cardiac mortality were both associated with MI in the index admission, age, DM and female gender. 10-year all-cause mortality was associated with age and total cholesterol levels; age, DM and total cholesterol levels were found to be independent predictors of 10-year CVD and cardiac mortality. Risk equations were consequently generated for 10-year and 20-year cardiac, cardiovascular and all-cause mortality, with age and DM emerging as the strongest and most consistent predictors of all outcomes studied.<bold>Conclusions: </bold>Novel risk equations for all-cause, cardiovascular and cardiac mortality at 10 and 20 years were generated using follow-up data in a large patient population. [ABSTRACT FROM AUTHOR]
- Subjects :
- RISK assessment
ACUTE coronary syndrome
MORTALITY
PROGNOSIS
MYOCARDIAL infarction
Subjects
Details
- Language :
- English
- ISSN :
- 00325473
- Volume :
- 93
- Issue :
- 1099
- Database :
- Complementary Index
- Journal :
- Postgraduate Medical Journal
- Publication Type :
- Academic Journal
- Accession number :
- 122738416
- Full Text :
- https://doi.org/10.1136/postgradmedj-2016-134129