Sudoscan's Effectiveness in Identifying Chronic Kidney Disease in Patients With Type 2 Diabetes.

Autor:	Nica AE; Diabetes and Endocrinology, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU., Rusu E; Diabetes and Endocrinology, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU., Dobjanschi CG; Diabetes and Endocrinology, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU., Rusu F; Urology, Dr. Carol Davila Central Military Emergency University Hospital, Bucharest, ROU., Parliteanu OA; Ambulatory, Marius Nasta Institute of Pneumology, Bucharest, ROU., Vinereanu IV; Nephrology, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU., Sivu C; Diabetes and Endocrinology, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU., Radulian G; Diabetes and Endocrinology, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Jazyk:	angličtina
Zdroj:	Cureus [Cureus] 2024 May 15; Vol. 16 (5), pp. e60344. Date of Electronic Publication: 2024 May 15 (Print Publication: 2024).
DOI:	10.7759/cureus.60344
Abstrakt:	Chronic kidney disease (CKD) represents a significant public health issue, particularly prevalent among patients with type 2 diabetes mellitus (T2DM). CKD occurs in approximately 20% to 40% of adults with diabetes mellitus. Sudoscan potentially detects CKD early, providing a non-invasive and convenient alternative to traditional screening methods that rely on serum creatinine and urine albumin levels. This research involves 271 patients from a single medical center over one year, with all participants providing informed consent. The prevalence of CKD in our group was 26.5% ( n = 72). This study integrates a comprehensive examination, including anthropometric measurements, biochemical profiles, and Sudoscan's electrochemical skin conductance testing. CKD diagnosis was confirmed via estimated glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR). The aim of this study was to explore the utility of Sudoscan in detecting CKD among patients with T2DM. Statistical analysis reveals moderate correlations between Sudoscan scores and traditional CKD markers like eGFR and albuminuria. It is beneficial in settings where conventional testing is less accessible, suggesting potential for broader CKD screening programs. Key findings suggest that Sudoscan can identify early renal dysfunction with reasonable sensitivity and specificity. Integrating Sudoscan in regular CKD screening could enhance early detection, allowing for timely interventions to prevent progression to end-stage renal disease and reduce healthcare burdens associated with advanced CKD. The results contribute to the ongoing assessment of innovative technologies in managing chronic diseases related to diabetes. Competing Interests: The authors have declared that no competing interests exist. (Copyright © 2024, Nica et al.)
Databáze:	MEDLINE
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