Predicting diabetic foot ulceration using routinely collected data in a foot clinic. What level of prognostic accuracy can be achieved?

Naemi, Roozbeh; Balasubramanian, Gayathri; Darvel, Tracey; Chockalingam, Nachiappan

Naemi, Roozbeh; Balasubramanian, Gayathri; Darvel, Tracey; Chockalingam, Nachiappan.

Afiliação

Naemi R; Centre for Biomechanics and Rehabilitation Technologies, School of Health Science and Wellbeing, Science Centre, Staffordshire University, Stoke-on-Trent, UK.
Balasubramanian G; Centre for Biomechanics and Rehabilitation Technologies, School of Health Science and Wellbeing, Science Centre, Staffordshire University, Stoke-on-Trent, UK.
Darvel T; The Hillingdon Hospital, Central and North West London NHS Foundation Trust, Uxbridge, UK.
Chockalingam N; Centre for Biomechanics and Rehabilitation Technologies, School of Health Science and Wellbeing, Science Centre, Staffordshire University, Stoke-on-Trent, UK.

Diabetes Metab Res Rev ; 39(6): e3674, 2023 09.

Article em En | MEDLINE | ID: mdl-37350019

Assuntos

Diabetes Mellitus; Pé Diabético; Úlcera do Pé; Humanos; Estudos de Coortes; Pé Diabético/diagnóstico; Pé Diabético/epidemiologia; Pé Diabético/etiologia; Pé; Prognóstico; Fatores de Risco; Dados de Saúde Coletados Rotineiramente

Palavras-chave

clinical prediction rules; diabetic foot; prognostic model; risk factor; stratification; ulcers

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Úlcera do Pé / Pé Diabético / Diabetes Mellitus Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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