Open AccessRisk factors that predict major amputations and amputation time intervals for hospitalised diabetic patients with foot complications
Author(s) -
Chou YuYu,
Hou ChinChun,
Wu ChienWei,
Huang DunWei,
Tsai ShengLin,
Liu TingHsuan,
Ding LuMing,
Chang ChunKai,
Ou KuangLing,
Chiu YuLung,
Tzeng YuanSheng
Publication year - 2022
Publication title -
international wound journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.867
H-Index - 63
eISSN - 1742-481X
pISSN - 1742-4801
DOI - 10.1111/iwj.13727
Subject(s) - medicine , amputation , diabetes mellitus , diabetic foot , diabetic foot ulcer , multivariate analysis , population , univariate analysis , risk factor , surgery , emergency medicine , environmental health , endocrinology
Diabetes‐related lower extremity amputations are an enormous burden on global health care and social resources because of the rapid worldwide growth of the diabetic population. This research aimed to determine risk factors that predict major amputation and analyse the time interval from first hospitalisation to amputation by using standard management protocols and Kaplan–Meier survival curves. Data from 246 patients with diabetes mellitus and diabetic foot ulcers from the Division of Plastic and Reconstructive Surgery of the Department of Surgery at XXX Hospital between January 2016 and May 2020 were analysed. Univariate and multivariate analyses of 44 potential risk factors, including invasive ulcer depth and C‐reactive protein levels, showed statistically significant differences for those at increased risk for major amputation. The median time from hospitalisation to lower extremity amputation was approximately 35 days. Most patients with abnormal C‐reactive protein levels and approximately 70% of patients with ulcers invading the bone were at risk for lower extremity amputations within 35 days. Therefore, invasive ulcer depth and C‐reactive protein levels are significant risk factors. Other potential risk factors for major amputation and the time intervals from first hospitalisation to amputation should be analysed to establish further prediction strategies.