{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T04:03:29Z","timestamp":1792728209871,"version":"4.5.0"},"reference-count":37,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2016,10,10]],"date-time":"2016-10-10T00:00:00Z","timestamp":1476057600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Soonchunhyang University Research Fund"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Wound Journal"],"published-print":{"date-parts":[[2017,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Diabetes mellitus is a common metabolic disorder. Among various complications, diabetic neuropathy and peripheral vascular disorders are closely associated with diabetic foot ulcers (\n                    <jats:styled-content style=\"fixed-case\">DFUs<\/jats:styled-content>\n                    ). Lower extremity ulcers and amputations are ongoing problems among individuals with diabetes. There are several classification systems for DFUs; however, no prognostic system has to date been accepted as the gold standard or the optimum prediction tool for amputations. A retrospective study was designed. Demographic data and baseline laboratory data were gathered and scored or evaluated using five representative DFU classification systems. These included (i) the diabetic ulcer severity score (\n                    <jats:styled-content style=\"fixed-case\">DUSS<\/jats:styled-content>\n                    ); (ii) University of Texas (\n                    <jats:styled-content style=\"fixed-case\">UT<\/jats:styled-content>\n                    ) diabetic wound classification; (iii) Meggitt\u2013Wagner classification; (iv) depth of the ulcer, extent of bacterial colonisation, phase of ulcer and association aetiology (\n                    <jats:styled-content style=\"fixed-case\">DEPA<\/jats:styled-content>\n                    ) scoring system; and (v) site, ischaemia, neuropathy, bacterial infection and depth (\n                    <jats:styled-content style=\"fixed-case\">SINBAD<\/jats:styled-content>\n                    ) score. Finally, a statistical analysis was performed. A total of 137 patients were included in this study. During the follow\u2010up,\n                    <jats:styled-content style=\"fixed-case\">DFU<\/jats:styled-content>\n                    had healed in 51\u00b71% of subjects and 48\u00b79% of the individuals underwent lower extremity amputations (\n                    <jats:styled-content style=\"fixed-case\">LEAs<\/jats:styled-content>\n                    ). In a univariable logistic regression analysis, history of previous\n                    <jats:styled-content style=\"fixed-case\">DFU<\/jats:styled-content>\n                    , hypertension, neuropathy, haemoglobin, C\u2010reactive protein (\n                    <jats:styled-content style=\"fixed-case\">CRP<\/jats:styled-content>\n                    ) and ankle\u2010brachial index (\n                    <jats:styled-content style=\"fixed-case\">ABI<\/jats:styled-content>\n                    ) showed a statistically significant difference between the healed group and the\n                    <jats:styled-content style=\"fixed-case\">LEA<\/jats:styled-content>\n                    group. Moreover, the stages, grades or overall prognostic ability of all five classifications were highly associated with the overall occurrence of\n                    <jats:styled-content style=\"fixed-case\">LEA<\/jats:styled-content>\n                    . On multivariable logistic regression analysis of the risk of\n                    <jats:styled-content style=\"fixed-case\">LEA<\/jats:styled-content>\n                    , all classifications showed a significant positive trend with an increased number of amputations. All the five classification systems exhibited high sensitivity, specificity, classification accuracy, positive predictive, negative predictive and area under the curve (\n                    <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                    ) values. They showed substantial accuracy and their main variables were associated with\n                    <jats:styled-content style=\"fixed-case\">LEA<\/jats:styled-content>\n                    occurrence. The Wagner and\n                    <jats:styled-content style=\"fixed-case\">UT<\/jats:styled-content>\n                    systems, although they are relatively simple to assess, were better predictors of\n                    <jats:styled-content style=\"fixed-case\">LEA<\/jats:styled-content>\n                    .\n                  <\/jats:p>","DOI":"10.1111\/iwj.12642","type":"journal-article","created":{"date-parts":[[2016,10,13]],"date-time":"2016-10-13T04:14:34Z","timestamp":1476332074000},"page":"537-545","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":158,"title":["Comparison of five systems of classification of diabetic foot ulcers and predictive factors for amputation"],"prefix":"10.1111","volume":"14","author":[{"given":"Byung\u2010Joon","family":"Jeon","sequence":"first","affiliation":[{"name":"Department of Plastic Surgery, Samsung Medical Center Sungkyunkwan University School of Medicine  Seoul Republic of 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