期刊
DIABETES CARE
卷 35, 期 11, 页码 2250-2256出版社
AMER DIABETES ASSOC
DOI: 10.2337/dc11-2478
关键词
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资金
- Centers for Disease Control and Prevention, Division of Diabetes Translation [04005]
- National Institute of Diabetes and Digestive and Kidney Diseases
- Biostatistics and Economic Modeling Core of the Michigan Diabetes Research Training Center from the National Institute of Diabetes and Digestive and Kidney Diseases [P60DK020572]
OBJECTIVE-To estimate the health utility scores associated with type 2 diabetes, its treatments, complications, and comorbidities. RESEARCH DESIGN AND METHODS-We analyzed health-related quality-of-life data, collected at baseline during Translating Research Into Action for Diabetes, a multicenter, prospective, observational study of diabetes care in managed care, for 7,327 individuals with type 2 diabetes. We measured quality-of-life using the EuroQol (EQ)-5D, a standardized instrument for which 1.00 indicates perfect health. We used multivariable regression to estimate the independent impact of demographic characteristics, diabetes treatments, complications, and comorbidities on health-related quality-of-life. RESULTS-The mean EQ-5D-derived health utility score for those individuals with diabetes was 0.80. The modeled utility score for a nonobese, non-insulin-treated, non-Asian, non-Hispanicman with type 2 diabetes, with an annual household income of more than $40,000, and with no diabetes complications, risk factors for cardiovascular disease, or comorbidities, was 0.92. Being a woman, being obese, smoking, and having a lower household income were associated with lower utility scores. Arranging complications from least to most severe according to the reduction in health utility scores resulted in the following order: peripheral vascular disease, other heart diseases, transient ischemic attack, cerebral vascular accident, nonpainful diabetic neuropathy, congestive heart failure, dialysis, hemiplegia, painful neuropathy, and amputation. CONCLUSIONS-Major diabetes complications and comorbidities are associated with decreased health-related quality-of-life. Utility estimates from our study can be used to assess the impact of diabetes on quality-of-life and conduct cost-utility analyses. Diabetes Care 35: 2250-2256, 2012
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