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Published on: July 24, 2013
Frailty outperforms conventional risk factors for predicting complications and death in type 1 diabetes
Markus J Haapanen1, Fanny Jansson Sigfrids2, Anni Ylinen3
1Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia; Australian Frailty Network, The University of Queensland, Woolloongabba, Queensland, Australia; Folkhälsan Research Center, Helsinki, Finland; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Aims:
To examine whether frailty predicts cardiovascular and diabetes-related complications and mortality in adults with type 1 diabetes, to quantify its impact on event timing, and to compare its predictive performance with conventional risk factors.
Methods:
We studied 4,819 adults with type 1 diabetes from the nationwide FinnDiane cohort. Frailty at baseline was measured using a frailty index and classified as non-frail, pre-frail, or frail. Participants were followed for a median of 19 years via national registries for major cardiovascular events, kidney replacement therapy, severe retinopathy, and all-cause and cause-specific mortality. Associations were assessed with Cox and Fine-Gray models; Weibull models estimated earlier onset of events; discrimination was evaluated with 10-year time-dependent AUC.
Results:
At baseline (age 18-81 years), 33 % were non-frail, 54 % pre-frail, and 13 % frail. Frail versus non-frail participants had 3- to 118-fold higher hazards of complications and onset accelerated by 2-6 years. Frailty was associated with a tenfold higher risk of all-cause mortality and reduced survival by 4.5 years. Discrimination was good to excellent and outperformed individual conventional risk factors.
Conclusions:
Frailty is common in type 1 diabetes and independently predicts earlier and higher risk of complications and death. Routine assessment may improve risk stratification and support individualized care.
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