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dc.contributor.authorMagri, Caroline Jane-
dc.contributor.authorDebono, Roberto-
dc.contributor.authorCalleja, Neville-
dc.contributor.authorGalea, Joseph-
dc.contributor.authorFava, Stephen-
dc.identifier.citationMagri, 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.en_GB
dc.descriptionContributors: 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.en_GB
dc.description.abstractObjectives: 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.en_GB
dc.subjectCoronary heart disease -- Risk factorsen_GB
dc.subjectRisk assessmenten_GB
dc.subjectAcute coronary syndromeen_GB
dc.subjectMyocardial infarction -- Maltaen_GB
dc.titlePrognostic indicators and generation of novel risk equations for estimation of 10-year and 20-year mortality following acute coronary syndromeen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publication.titlePostgraduate Medical Journalen_GB
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