Prevalence of low skeletal muscle mass following bariatric surgery

Evidence on the occurrence of low skeletal muscle mass (low-SMM) following bariatric surgery (BS) as well as on the impact of low-SMM antedating BS on post-surgical body composition (BC) are scant. In this context, we aimed to prospectively evaluate the prevalence of low-SMM prior to and up to 5 yea...

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Published inClinical nutrition ESPEN Vol. 49; pp. 436 - 441
Main Authors Molero, Judith, Olbeyra, Romina, Flores, Lilliam, Jiménez, Amanda, de Hollanda, Ana, Andreu, Alba, Ibarzabal, Ainitze, Moizé, Violeta, Cañizares, Sílvia, Balibrea, José María, Obach, Amadeu, Vidal, Josep
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.06.2022
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Summary:Evidence on the occurrence of low skeletal muscle mass (low-SMM) following bariatric surgery (BS) as well as on the impact of low-SMM antedating BS on post-surgical body composition (BC) are scant. In this context, we aimed to prospectively evaluate the prevalence of low-SMM prior to and up to 5 years after BS, and to evaluate pre-surgical low-SMM as an independent risk factor for the presence of low-SMM after BS. Retrospective analysis of prospectively collected database. BC was assessed by bioelectrical impedance analysis (BIA). A BIA-based formula was used to calculate skeletal muscle mass (SMM). Class I and class II low-SMM were defined respectively as a SMM index (SMMI = SMM/height2) value between −1 and −2, or > −2 standard deviations from the gender-specific regression line of the BMI versus the SMMI relationship in our reference group. A total 952 subjects were included, with BC being available for 877 (92%) subjects at 12 months and for 576 subjects (60%) at 60 months after BS. Prior to surgery, and at 12-, or at 60-months after surgery, class I and class II low-SMM was ascertained respectively in 15.6% and 4.6%, 5.3% and 1.4%, and 16.6% and 6.3% of the study participants. Logistic regression analysis showed that the occurrence of low-SMM at 12- and 60-months follow-up, was independently predicted not only by age at the time of surgery [respectively, HR: 1.052 (95% CI 1.020–1.084), p = 0.001; and 1.042 (95% CI 1.019–1.066); p < 0.001] but also by the presence of low-SMM prior to surgery [respectively, HR: 10.717 (95% CI 5.771–19.904), p < 0.001; and 5.718 (95% CI 3.572–9.153); p < 0.001]. Our data suggest that a low-SMM phenotype occurs not only in obesity surgery candidates but also after BS, and that low-SMM prior to surgery is an important risk factor for low-SMM throughout post-surgical follow-up.
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ISSN:2405-4577
2405-4577
DOI:10.1016/j.clnesp.2022.03.009