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Risk factors for diabetic foot complications among patients with type 2 diabetes in Austria–A registry‐based retrospective cohort study
Author(s) -
Rossboth Sophia,
Rossboth Benedikt,
Schoenherr Hans,
Lechleitner Monika,
Oberaigner Willi
Publication year - 2021
Publication title -
endocrinology, diabetes and metabolism
Language(s) - English
Resource type - Journals
ISSN - 2398-9238
DOI - 10.1002/edm2.286
Subject(s) - medicine , retrospective cohort study , diabetes mellitus , cohort , proportional hazards model , diabetic foot , cohort study , nephropathy , type 2 diabetes , confounding , incidence (geometry) , endocrinology , physics , optics
Aims Diabetic foot complications, a serious consequence of diabetes mellitus, are associated with a tremendous burden on both individual patients and health care systems. Since prevention strategies may reduce the incidence of this complication, identification of risk factors in large longitudinal studies is essential to optimize early detection and personalized screening of patients at increased risk. Materials and methods We conducted a registry‐based retrospective cohort study using data from 10,688 patients with type 2 diabetes mellitus aged ≥18 years. Cox regression models were used to identify risk factors for foot complications while adjusting for potential confounders. Results We observed 140 diabetic foot complications in our patient cohort. The multivariate Cox regression model revealed neuropathy, peripheral arterial disease and male gender as being positively associated with foot complications. The same effect was detected for nephropathy in the time >10 years after T2DM diagnosis. For higher age at diagnosis and use of insulin, however, a negative association was retrieved. Conclusion Male gender and several diabetes‐related comorbidities were identified as risk factors for subsequent initial foot complications in patients with type 2 diabetes mellitus. These findings suggest that personalized early detection of patients at increased risk might be feasible by using information on demographics, medical history and comorbidities.

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