Journal article
Risk equations to predict life expectancy of people with Type2 diabetes mellitus following major complications: A study from Western Australia
AJ Hayes, J Leal, CW Kelman, PM Clarke
Diabetic Medicine | WILEY | Published : 2011
Abstract
Aims To develop a model for predicting life expectancy following major diabetes-related complications and to summarize these results by age and gender in the form of a simple table. Methods Equations for forecasting mortality were derived using an observational cohort of 12792 patients who had one of the following complications of diabetes: myocardial infarction, stroke, heart failure, amputation or renal failure, recorded in administrative health and mortality data from the state of Western Australia between 1990 and 1999. Logistic regression was used to estimate mortality within the first month post-event and a Gompertz proportional hazards model was used to estimate survival over the pati..
View full abstractGrants
Awarded by Australian National Health and Medical Research Council (NHMRC)
Awarded by Australian NHMRC
Funding Acknowledgements
We are grateful to Dr John Bass and Richard Solon, who were instrumental in performing the data linkage, also to Di Rosman for the interpretation of WA data, to the Department of Health and Aging, the WA Department of Health, The University of WA, the Australian Institute of Health and Welfare, and the Health Insurance Commission, all of whom were signatories to this unique collaborative project between the Commonwealth and the State of WA. AJH was funded from Australian National Health and Medical Research Council (NHMRC) Project Grant 512463 and Diabetes Australia Research Trust Grant. PMC was funded from an Australian NHMRC Career Development Award (571122). JL was funded from a John Fell Oxford University Press Research Fund award.