Identification of phase angle and Triglyceride-Glucose index as biomarkers for prediction and management of diabetic foot disease
PA and TyG index are valuable, easily measurable biomarkers for assessing diabetic foot risk, and can be monitored in primary care settings. Implementing these biomarkers in routine practice could enhance the management of diabetic complications, particularly in resource-limited settings, by enabling early detection and intervention, thus improving patient outcomes and reducing the burden of advanced complications.
Authors
- MICHAEL POBLET
- Esther Soler-Climent (ORCID: https://orcid.org/0000-0002-8543-4865)
- Isabel Sospedra (ORCID: https://orcid.org/0000-0002-8513-8986)
- Javier Sáiz (ORCID: https://orcid.org/0000-0002-9850-0825)
- Gema Prats-Boluda (ORCID: https://orcid.org/0000-0002-9362-5055)
- Julio Gomis-Tena (ORCID: https://orcid.org/0000-0002-1309-2368)
- J.L. Martínez-de-Juan (ORCID: https://orcid.org/0000-0001-9133-3123)
- Isabel Junquera-Godoy (ORCID: https://orcid.org/0000-0002-6755-5962)
- Rosa Pérez
- L Lledó Rico
Institutions
- University of Alicante (ES)
- Universitat de València (ES)
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (ES)
- Hospital General Universitario de Elche (ES)
Publication Details
- Journal
- Metabolism Open
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1016/j.metop.2024.100315
- Citations
- 8
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 2.86
Funders
- Agència Valenciana de la Innovació