Prognostic Value of New Sarcopenia Screening Tool in the Elderly-SARC-GLOBAL

Sarcopenia screening tools have a low capacity to predict adverse outcomes that are consequences of sarcopenia in the elderly population. This study aimed to evaluate the ability of a new sarcopenia screening tool SARC-GLOBAL to predict negative clinical outcomes in the elderly. A total of 395 indiv...

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Bibliographic Details
Published in:Nutrients 2024-05, Vol.16 (11), p.1717
Main Authors: Vicedomini, Ana Carolina Costa, Waitzberg, Dan L, Lopes, Natalia Correia, Magalhães, Natalia, Prudêncio, Ana Paula A, Jacob Filho, Wilson, Busse, Alexandre Leopold, Ferdinando, Douglas, Alves, Tatiana Pereira, Pereira, Rosa Maria Rodrigues, Belarmino, Giliane
Format: Article
Language:English
Subjects:
Accidental Falls - statistics & numerical data
Aged
Aged, 80 and over
Body mass index
Cattle
Clinical outcomes
EWGSOP2
Exercise
Female
Geriatric Assessment - methods
Hospitalization
Hospitalization - statistics & numerical data
Humans
Infections
Logistic Models
Male
Mass Screening - methods
Medical tests
Mortality
Older people
Predictive Value of Tests
Prognosis
Quality of life
Questionnaires
Regression analysis
SARC-CalF
SARC-F
SARC-GLOBAL
Sarcopenia
Sarcopenia - diagnosis
Sarcopenia - epidemiology
Working groups
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Summary:Sarcopenia screening tools have a low capacity to predict adverse outcomes that are consequences of sarcopenia in the elderly population. This study aimed to evaluate the ability of a new sarcopenia screening tool SARC-GLOBAL to predict negative clinical outcomes in the elderly. A total of 395 individuals were evaluated in a 42-month period. The screening tools SARC-GLOBAL, SARC-F, and SARC-CalF and the diagnosis of sarcopenia according to European Working Group on Sarcopenia in Older Persons (EWGSOP2) were performed at the beginning of the study. Logistic and Poisson regression models were applied to assess the predictive value of the tools for the odds and risks of negative clinical outcomes, respectively. The most common negative clinical outcome in the followed population was falls (12.9%), followed by infections (12.4%), hospitalizations (11.8%), fractures (4.3%), and deaths (2.7%). Both SARC-GLOBAL and SARC-F were similar in predicting the odds of falls and hospitalizations during the follow up period, however SARC-CalF only predicted the odds of hospitalizations at 42 months.
ISSN:2072-6643
2072-6643
DOI:10.3390/nu16111717