Journal
ACTA DIABETOLOGICA
Volume 57, Issue 3, Pages 347-357Publisher
SPRINGER-VERLAG ITALIA SRL
DOI: 10.1007/s00592-019-01423-5
Keywords
Lower extremity amputations in diabetes; Healthcare Quality Indicators; Diabetes care; Health systems performance assessment; Generalized estimating equations
Categories
Funding
- Italian Ministry of Health
- Italian Agency for Regional Health Services (AGENAS)
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Background International comparisons of diabetes-related lower extremity amputation rates are still hampered by different criteria used for data collection and analysis. We aimed to evaluate trends and variation of major/minor amputations, using agreed definitions adopted by the Organization for Economic Cooperation and Development in 2015. Methods Direct age-sex standardized rates were calculated per 100,000 subjects per year between 2000 and 2013, using major/minor amputations with diabetes diagnosis as numerators and the total population or number of people with diabetes as denominators. Longitudinal trends were investigated using generalized estimating equations. Results Twenty-one countries reported major amputations referred to the general population, showing a mean reduction from 10.8 to 7.5 per 100,000 (- 30.6%). Eleven countries also reported major amputations among people with diabetes, showing a mean reduction from 182.9 to 128.3 per 100,000 (- 29.8%). Minor amputations remained stable over the study period. Longitudinal trends showed a significant average annual decrease of - 0.19 per 100,000 in the general population (95% CI - 0.36 to - 0.02; p = .03) and - 4.52 per 100,000 among subjects with diabetes (95% CI - 6.09 to - 2.94; p < .001). The coefficient of variation of major amputation rates between countries was fairly high (64%-in the total population, 67% among people with diabetes). Conclusions The study highlighted a clinically significant reduction of major amputations, in both the general population and among people with diabetes. The use of standardized definitions, while increasing the comparability of multinational data, highlighted remarkable differences between countries. These results can help identifying and sharing best practices effectively on a global scale.
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