Identification of Phase Angle and Triglyceride-Glucose Index as Biomarkers for Prediction and Management of Diabetic Foot Disease

Author:

CLIMENT ESTHER SOLER1ORCID,Rico Loreto Lledó2,Poblet Marta García3,Sopedra Isabel4,Junquera-Godoy Isabel5,Martinez-De-Juan Jose Luis5,Gomis-Tena Julio5,Saiz Javier5,Prats-Boluda Gema5,Pérez Remedio Santoyo6

Affiliation:

1. Generalitat Valenciana Conselleria de Sanitat i Consum: Generalitat Valenciana Conselleria de Sanitat Universal i Salut Publica

2. FISABIO: Fundacio per al Foment de la Investigacio Sanitaria i Biomedica

3. Universidad de Alicante - Campus San Vicente del Raspeig: Universitat d'Alacant

4. Universidad de Alicante: Universitat d'Alacant

5. Universitat Politècnica de València: Universitat Politecnica de Valencia

6. Hospital General Universitario de Elche

Abstract

Abstract

Introduction: Approximately 25% of diabetic patients develop diabetic foot ulcers (DFUs), which significantly increase morbidity, mortality, and healthcare costs. Effective control and prevention are crucial to mitigate these impacts. Objective This study aims to identify easily measurable parameters for predicting DFU risk in routine consultations by assessing the correlation between Phase Angle (PA) and the Triglyceride-Glucose (TyG) index with DFU risk, based on their known association with diabetes. Materials and Methods A comparative observational case-control study was conducted at the General Hospital of Elche from March to June 2023, with 70 participants: 33 with diabetes and 37 without. Inclusion criteria for the case group were a diabetes diagnosis for over five years and a diabetic foot risk grade of 0, 1, or 2 according to the 2019 IWGDF stratification system. Exclusion criteria included inability to walk, prior use of plantar orthoses, and severe complications like edema or wounds. Predictive variables included PA, TyG index, body composition, and biochemical markers. Pearson or Spearman tests were used for correlations, Student's t-test or Mann-Whitney test for group comparisons, and one-way ANOVA or Kruskal-Wallis tests for normally and non-normally distributed variables, respectively. Results PA and TyG index were strongly linked to diabetic foot risk, supporting their potential as biomarkers. We confirmed the correlation between PA, TyG index, and diabetic foot risk, along with their significant relationships with other relevant biomarkers, enhancing our understanding of the condition. Conclusion PA and TyG index are valuable, easily measurable biomarkers for diabetic foot risk assessment. Their use in clinical practice could improve the management of diabetic complications, especially in resource-limited settings.

Publisher

Springer Science and Business Media LLC

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