Prognostic indicators and generation of novel risk equations for estimation of 10-year and 20-year mortality following acute coronary syndrome

Abstract

Objectives: 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. Methods: Patients hospitalised with ACS from December 1990 to June 1994 were recruited and followed up through 31 December 2012. Results: 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. Conclusions: 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.