New specific skeletal muscle mass index cut-offs for the assessment of sarcopenia in patients with severe obesity.

Autor:	Bufano A; Department of Medicine, Surgery and Neuroscience, Unità Operativa Complessa (UOC) Endocrinology, University of Siena, Siena, Italy., Cartocci A; Department of Medical Biotechnologies, University of Siena, Siena, Italy., Benenati N; Department of Medicine, Surgery and Neuroscience, Unità Operativa Complessa (UOC) Endocrinology, University of Siena, Siena, Italy., Ciuoli C; Department of Medicine, Surgery and Neuroscience, Unità Operativa Complessa (UOC) Endocrinology, University of Siena, Siena, Italy., Simon Batzibal M; Department of Medicine, Surgery and Neuroscience, Unità Operativa Complessa (UOC) Endocrinology, University of Siena, Siena, Italy., Bombardieri A; Department of Medicine, Surgery and Neuroscience, Unità Operativa Complessa (UOC) Endocrinology, University of Siena, Siena, Italy., Iraci Sareri G; Department of Medicine, Surgery and Neuroscience, Unità Operativa Complessa (UOC) Endocrinology, University of Siena, Siena, Italy., Sannino I; Department of Medicine, Surgery and Neuroscience, Unità Operativa Complessa (UOC) Endocrinology, University of Siena, Siena, Italy., Tirone A; Department of Surgical Sciences, Bariatric Surgery Unit, University of Siena, Siena, Italy., Voglino C; Department of Surgical Sciences, Bariatric Surgery Unit, University of Siena, Siena, Italy., Vuolo G; Department of Surgical Sciences, Bariatric Surgery Unit, University of Siena, Siena, Italy., Castagna MG; Department of Medicine, Surgery and Neuroscience, Unità Operativa Complessa (UOC) Endocrinology, University of Siena, Siena, Italy.
Jazyk:	angličtina
Zdroj:	Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2024 Jul 05; Vol. 15, pp. 1369584. Date of Electronic Publication: 2024 Jul 05 (Print Publication: 2024).
DOI:	10.3389/fendo.2024.1369584
Abstrakt:	Introduction: Bioelectrical impedance analysis (BIA) is the most used tool in clinical practice to evaluate body composition in patients with obesity. The skeletal muscle index (SMI) defined by BIA has been proposed for the identification of sarcopenia, but there are currently no univocal cutoffs for this condition. In this study, we aimed: 1) to determine the prevalence of sarcopenia in patients with severe obesity using the current cutoffs of SMI; 2) to define new specific cutoffs; 3) to validate the new cutoffs; and 4) to re-determine the prevalence of sarcopenia. Methods: A total of 300 patients, 74% women and 26% men (mean age = 42.6 ±; 9 years), with morbid obesity (mean BMI = 46.7 ±; 6.5 kg/m 2 ) followed by the Unit of Endocrinology from January 2014 to December 2020 were retrospectively evaluated. SMI was calculated as the skeletal muscle mass normalized for squared height through the BIA equation by Janssen et al. Results: The prevalence of sarcopenic obesity calculated using the cutoff points reported by De Rosa et al. (7.3 kg/h 2 for women and 9.5 kg/h 2 for men) was 2.3%. The prevalence of sarcopenia was calculated using the new cutoffs: with the cutoff obtained from the standard deviation method (8.2 kg/h 2 for women and 10.2 kg/h 2 for men), a prevalence of 14.7% was observed, whereas the prevalence reached 47.6% when using the cutoff calculated through the K -means unsupervised cluster (9.2 kg/h 2 for women and 11.3 kg/h 2 for men). The new cutoffs were validated with a second sample consisting of 300 patients with morbid obesity (BMI = 44.9 ±; 6.7 kg/m 2 ): the rate of sarcopenic patients was still higher than that observed in the training cohort (56%). After the matching procedure (by BMI and age), the rates of sarcopenic patients were similar in both groups (50.2% in the validation group and 53% in the training group, p = 0.6). Conclusion: The new cutoffs calculated with cluster analysis could better identify sarcopenia in morbidly obese patients. However, further studies are needed to validate these cutoffs in different patient cohorts. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Bufano, Cartocci, Benenati, Ciuoli, Simon Batzibal, Bombardieri, Iraci Sareri, Sannino, Tirone, Voglino, Vuolo and Castagna.)
Databáze:	MEDLINE
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