Paul A Tiffin, Richard D Roberts
The cross-cutting edge: Medical selection and education viewed through the lens of emotional intelligence
Medical education
due effect patient health healthcare resources study diabetic foot essential despite existence classification grading systems evidence required current systems prone lack validation specific populations inadequate consideration regional variations incomplete evaluation risk factors outcomes prevalence complications diabetes diabetic foot rise worldwide necessitating regionally specific research fill gaps study focuses southeast asian subpopulation study aims evaluate clinical characteristics diabetic foot patients using wifi classification system develop risk calculator patients predict evaluate potential outcomes retrospective analysis conducted medical records patients diabetic foot visited tertiary hospital vietnam december 2021 july 2022 demographic data clinical characteristics outcomes collected classified according wifi wound ischemia foot infection classification system descriptive statistics used analyze data multivariable logistic regression model employed develop risk calculator study included 60 patients diabetic foot gender distribution similar 567 male mean age 44 years patients ulcers varying degrees ischemia contributed higher grades placing 433 moderatetohigh risk amputation stages 3 4 hba1c positively correlated amputation risk p005 abi tbi tp showed inverse correlations p0001 amputation risk equation based wifi scale risk37010788abi1260tp risk calculator developed using predictors estimate adverse outcomes diabetic foot patients early identification management risk factors crucial findings study highlight importance ischemia association amputation risk incorporating hba1c abi tp risk calculator enables personalized assessments amputation risk thereby assisting healthcare professionals treatment planning validation refinement risk calculator required broader clinical application