Frontiers in endocrinology · 2025
Electrochemical skin conductance: a tool for risk stratification and early anticipation of diabetic foot ulcers.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Gautier Jean-François, Riveline Jean-Pierre, Potier Louis, Bourron Olivier, Bordier Lyse, Vittrant Benjamin, Roussel Ronan, Bauduceau Bernard
Аннотация
INTRODUCTION: Diabetic foot ulcers (DFUs) are a major complication of diabetes, leading to high morbidity, mortality, and healthcare costs. Current DFU risk stratification relies on clinical examination, which can be subjective. Electrochemical Skin Conductance (ESC), measured via Sudoscan, offers an objective assessment of small fiber dysfunction. This study evaluates the association between ESC and DFU risk stratification.
METHODS: A retrospective analysis of 2,157 diabetic patients from four tertiary centers in France was conducted. DFU risk was classified using the 2016 International Working Group on Diabetic Foot (IWGDF) grading system. ESC measurements were analyzed alongside age, sex, diabetes type, and monofilament test results. Regression and ROC analyses assessed predictive performance.
RESULTS: ESC values correlated with DFU grades (p<0.001), with lower foot ESC (FESC) in higher-risk patients. ROC analysis showed strong predictive value for severe DFUs (AUC = 0.82 for grade 3) but limited performance for early stages. Notably, ESC identified at-risk patients within grade 0, undetected by standard classification.
DISCUSSION: ESC provides a reproducible, operator-independent tool for DFU risk assessment, improving early detection beyond monofilament testing. These findings support its potential role in DFU prevention, reducing amputations and enhancing patient outcomes. Further studies are needed to validate its prognostic value and integration into clinical care.
METHODS: A retrospective analysis of 2,157 diabetic patients from four tertiary centers in France was conducted. DFU risk was classified using the 2016 International Working Group on Diabetic Foot (IWGDF) grading system. ESC measurements were analyzed alongside age, sex, diabetes type, and monofilament test results. Regression and ROC analyses assessed predictive performance.
RESULTS: ESC values correlated with DFU grades (p<0.001), with lower foot ESC (FESC) in higher-risk patients. ROC analysis showed strong predictive value for severe DFUs (AUC = 0.82 for grade 3) but limited performance for early stages. Notably, ESC identified at-risk patients within grade 0, undetected by standard classification.
DISCUSSION: ESC provides a reproducible, operator-independent tool for DFU risk assessment, improving early detection beyond monofilament testing. These findings support its potential role in DFU prevention, reducing amputations and enhancing patient outcomes. Further studies are needed to validate its prognostic value and integration into clinical care.