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Title: Prognostic indicators and generation of novel risk equations for estimation of 10-year and 20-year mortality following acute coronary syndrome
Authors: Magri, Caroline Jane
Debono, Roberto
Calleja, Neville
Galea, Joseph
Fava, Stephen
Keywords: Coronary heart disease -- Risk factors
Risk assessment
Acute coronary syndrome
Myocardial infarction -- Malta
Issue Date: 2017
Publisher: BMJ
Citation: Magri, C. J., Debono, R., Calleja, N., Galea, J., & Fava, S. (2017). Prognostic indicators and generation of novel risk equations for estimation of 10-year and 20-year mortality following acute coronary syndrome. Postgraduate Medical Journal, 93(1099), 245-249.
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.
Description: Contributors: CJM, RD and SF were involved in the collection of data. CJM and NC were involved in the statistical analysis of the data. SF conceptualised the study. The manuscript was written by CJM. JG was involved in the discussion and coordination of the study. All coauthors contributed to the discussion as well as revision and approval of manuscript.
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