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Sarcopenic obesity in free-living older adults detected by the ESPEN-EASO consensus diagnostic algorithm: Validation in an Italian cohort and predictive value of insulin resistance and altered plasma ghrelin profile

Gortan Cappellari, Gianluca
•
Semolic, Anna Maria
•
Zanetti, Michela
altro
Barazzoni, Rocco
2023
  • journal article

Periodico
METABOLISM, CLINICAL AND EXPERIMENTAL
Abstract
Aging and obesity are synergistic sarcopenia risk factors (RF). Their association in sarcopenic obesity (SO) enhances morbidity and mortality, but consensus on SO diagnostic criteria is limited. ESPEN and EASO issued a consensus algorithm for SO screening (obesity and clinical SO suspicion) and diagnosis [low muscle strength by hand-grip (HGS) and low muscle mass by BIA], and we investigated its implementation in older adults (>65-years), as well as SO-associated metabolic RF [insulin resistance (IR: HOMA) and plasma acylated (AG) and unacylated (UnAG) ghrelin, with predictive value also assessed from 5-year-prior observations]. Older adults with obesity from the Italian MoMa study on metabolic syndrome in primary care (n = 76) were studied. 7 of 61 individuals with positive screening had SO (SO+; 9 % of cohort). No individuals with negative screening had SO. SO+ had higher IR, AG and plasma AG/UnAG ratio (p < 0.05 vs negative screening and SO-), and both IR and ghrelin profile predicted 5-year SO risk independent of age, sex and BMI. The current results provide the first ESPEN-EASO algorithm-based investigation of SO in free-living older adults, with 9 % prevalence in those with obesity and 100 % algorithm sensitivity, and they support IR and plasma ghrelin profile as SO risk factors in this setting.
DOI
10.1016/j.metabol.2023.155595
WOS
WOS:001100787100001
Archivio
https://hdl.handle.net/11368/3052947
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85162888388
https://www.sciencedirect.com/science/article/pii/S0026049523001993?via=ihub
Diritti
open access
license:copyright editore
license:creative commons
license uri:iris.pri02
license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
FVG url
https://arts.units.it/request-item?handle=11368/3052947
Soggetti
  • Diagnosi

  • Diagnostic algorithm

  • Sarcopenic obesity

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