A Icks1, B Haastert, C Trautner, G Giani, G Glaeske, F Hoffmann. 1. Institute of Biometrics and Epidemiology, German Diabetes Center at the Heinrich-Heine-University, Leibniz-Center for Diabetes Research, Auf'm Hennekamp 65, 40225 Düsseldorf, Germany. icks@ddz.uni-duesseldorf.de
Abstract
INTRODUCTION: One major objective is to reduce the risk of lower limb amputation in diabetes mellitus. Nationwide data to incidences of amputations in the diabetic and non-diabetic populations in Germany as well as relative and attributable risks due to diabetes are lacking so far. MATERIAL AND METHODS: Using data of a nationwide statutory health insurance (1.6 million members), we assessed all first non-traumatic lower-limb amputations between 2005 and 2007. We estimated sex-age-specific and standardized incidences of amputations in the diabetic and non-diabetic populations, and relative and attributable risks due to diabetes. RESULTS: Of all subjects with a first amputation in the study period 2005-2007 (n=994), 66% had diabetes, 76% were male, mean age (SD) was 67 (13) years. Incidences per 100 000 person years (standardized to the 2004 German population) in the diabetic and the non-diabetic populations: 176.5 (95% confidence interval 156.0-196.9) and 20.0 (17.0-23.1) in men, and 76.9 (61.9-91.8) and 13.4 (10.7-16.2) in women. Standardized relative risks: 8.8 (7.3-10.7) in men and 5.7 (4.3-7.6) in women. Attributable risks among exposed: 0.89 and 0.83 and population attributable risks 0.59 and 0.40, each in men and women, respectively. DISCUSSION: In our first German nationwide study, we found the relative risk of lower limb amputation in the diabetic compared to the non-diabetic to be lower than in earlier regional studies in Germany, supporting results of regional reductions of the excess amputation risk due to diabetes. A repetition of the study is warranted to further evaluate trends according to the St. Vincent goals. J. A. Barth Verlag in Georg Thieme Verlag KG Stuttgart New York.
INTRODUCTION: One major objective is to reduce the risk of lower limb amputation in diabetes mellitus. Nationwide data to incidences of amputations in the diabetic and non-diabetic populations in Germany as well as relative and attributable risks due to diabetes are lacking so far. MATERIAL AND METHODS: Using data of a nationwide statutory health insurance (1.6 million members), we assessed all first non-traumatic lower-limb amputations between 2005 and 2007. We estimated sex-age-specific and standardized incidences of amputations in the diabetic and non-diabetic populations, and relative and attributable risks due to diabetes. RESULTS: Of all subjects with a first amputation in the study period 2005-2007 (n=994), 66% had diabetes, 76% were male, mean age (SD) was 67 (13) years. Incidences per 100 000 person years (standardized to the 2004 German population) in the diabetic and the non-diabetic populations: 176.5 (95% confidence interval 156.0-196.9) and 20.0 (17.0-23.1) in men, and 76.9 (61.9-91.8) and 13.4 (10.7-16.2) in women. Standardized relative risks: 8.8 (7.3-10.7) in men and 5.7 (4.3-7.6) in women. Attributable risks among exposed: 0.89 and 0.83 and population attributable risks 0.59 and 0.40, each in men and women, respectively. DISCUSSION: In our first German nationwide study, we found the relative risk of lower limb amputation in the diabetic compared to the non-diabetic to be lower than in earlier regional studies in Germany, supporting results of regional reductions of the excess amputation risk due to diabetes. A repetition of the study is warranted to further evaluate trends according to the St. Vincent goals. J. A. Barth Verlag in Georg Thieme Verlag KG Stuttgart New York.
Authors: Miranda T Schram; Simone J S Sep; Carla J van der Kallen; Pieter C Dagnelie; Annemarie Koster; Nicolaas Schaper; Ronald M A Henry; Coen D A Stehouwer Journal: Eur J Epidemiol Date: 2014-04-23 Impact factor: 8.082
Authors: Eszter P Vamos; Alex Bottle; Michael E Edmonds; Jonathan Valabhji; Azeem Majeed; Christopher Millett Journal: Diabetes Care Date: 2010-09-10 Impact factor: 19.112