Please use this identifier to cite or link to this item: https://observatorio.fm.usp.br/handle/OPI/42928
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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP-
dc.contributor.authorCRISTALDO, Mara Rubia Areco-
dc.contributor.authorGUANDALINI, Valdete Regina-
dc.contributor.authorFARIA, Sheilla de Oliveira-
dc.contributor.authorSPEXOTO, Maria Claudia Bernardes-
dc.date.accessioned2021-11-22T20:48:30Z-
dc.date.available2021-11-22T20:48:30Z-
dc.date.issued2021-
dc.identifier.citationREVISTA BRASILEIRA DE GERIATRIA E GERONTOLOGIA, v.24, n.2, p.e210016, 2021-
dc.identifier.issn1981-2256-
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/42928-
dc.description.abstractAbstract Objective To screen the risk of sarcopenia in hospitalized individuals using the SARC-F and SARC-Calf instruments and verify the association between the risk of sarcopenia with the sociodemographic and clinical variables and those that make up the sarcopenia phenotype. Methods This is a cross-sectional study. Sociodemographic, clinical characteristics, and all variables (handgrip strength, muscle mass and gait speed) that construct the sarcopenia phenotype were investigated. For the screening and diagnosis of sarcopenia, the algorithm, and criteria proposed by the European Working Group on Sarcopenia in Older People (EWGSOP2). Results A total of 90 individuals participated. Most were without risk of sarcopenia, both by SARC-F (58.9%) and by SARC-Calf (68.9%), with normal handgrip strength (HGS) (28.6±9.2; 26.7±10.6) and appendicular skeletal muscle mass index (ASMI) (9.3±1.78; 9.6±1.6) and with low gait speed (GS) (0.69±0.26; 0.68±0.4), respectively. SARC-F showed a significant association with the variables gender (p=0.032), HGS (p<0.001), GS (p=0.001) and sarcopenia (p<0.001). When adding the calf circumference (CC), an association was found with the variables age group (p=0.029), work activity (p=0.008), HGS (p<0.001), ASMI (p=0.033), GS (p=0.019) and the sarcopenia (p<0.001). Conclusion The risk of sarcopenia was observed in approximately one-third of the evaluated patients. It is suggested the routine use in hospitals of the sarcopenia screening tool SARC-Calf, since it was associated with the three predictive factors of sarcopenia, in addition,it is an instrument of agile application, low cost and non-invasive. When a possible, investigation of the diagnosis of sarcopenia should be encouraged in clinical practice.eng
dc.description.abstractResumo Objetivo Rastrear o risco de sarcopenia em indivíduos hospitalizados por meio dos instrumentos SARC-F e SARC-Calf e verificar a associação entre o risco de sarcopenia com as variáveis sociodemográficas, clínicas e as variáveis que compõem o fenótipo de sarcopenia. Métodos Trata-se de um estudo transversal. Características sociodemográficas, clínicas e todas as variáveis que compõem o fenótipo de sarcopenia (força de prensão palmar, massa muscular e velocidade de marcha) foram investigadas. Para o rastreamento e diagnóstico da sarcopenia adotou-se o algoritmo e critérios propostos pelo European Working Group on Sarcopenia in Older People (EWGSOP2). Resultados Participaram 90 indivíduos. A maioria encontrava-se sem sinais sugestivos de sarcopenia, tanto pelo SARC-F (58,9%) quanto pelo SARC-Calf (68,9%), com força de preensão palmar (FPP) (28,59±9,21;26,74±10,60) e índice de massa muscular esquelética apendicular (IMMEA) (9,31±1,78;9,58±1,62) normais e com baixa velocidade de marcha (VM) (0,69±0,26; 0,68±0,44), respectivamente. O SARC-F apresentou associação significativa com as variáveis sexo (p=0,032), FPP (p<0,001), VM (p=0,001) e sarcopenia (p<0,001). Quando da adição da circunferência da panturrilha (CP), foi encontrado associação com as variáveis grupo etário (p=0,029), atividade laboral (p=0,008), FPP (p<0,001), IMMEA (p=0,033), VM (p=0,019) e sarcopenia (p<0,001). Conclusão O risco de sarcopenia foi observado em aproximadamente um terço dos pacientes avaliados. Sugere-se o uso rotineiro nos hospitais da ferramenta de rastreamento de sarcopenia SARC-Calf, uma vez que apresentou associação com os três fatores preditivos da sarcopenia, além de ser um instrumento de aplicação ágil, baixo custo e não invasivo. A investigação do diagnóstico da sarcopenia deve ser encorajada na prática clínica.por
dc.language.isoporpor
dc.publisherUniversidade do Estado do Rio Janeiroeng
dc.relation.ispartofRevista Brasileira de Geriatria e Gerontologia-
dc.rightsopenAccesseng
dc.subjectSarcopeniaeng
dc.subjectDiagnostic Screening Programseng
dc.subjectMuscle Masseng
dc.subjectSarcopeniaeng
dc.subjectProgramas de Triagem Diagnósticaeng
dc.subjectMassa Musculareng
dc.titleRastreamento do risco de sarcopenia em adultos com 50 anos ou mais hospitalizadoseng
dc.title.alternativeScreening the risk of sarcopenia in adults aged 50 years or older hospitalizedeng
dc.typearticleeng
dc.rights.holderCopyright Universidade do Estado do Rio Janeiroeng
dc.identifier.doi10.1590/1981-22562021024.210016pub-date-
dc.subject.wosGeriatrics & Gerontologyeng
dc.type.categoryoriginal articleeng
dc.type.versionpublishedVersioneng
hcfmusp.author.externalCRISTALDO, Mara Rubia Areco:Universidade Federal da Grande Dourados, Brazil-
hcfmusp.author.externalGUANDALINI, Valdete Regina:Universidade Federal do Espírito Santo, Brazil-
hcfmusp.author.externalSPEXOTO, Maria Claudia Bernardes:Universidade Federal da Grande Dourados, Brazil-
hcfmusp.description.beginpagee210016-
hcfmusp.description.issue2-
hcfmusp.description.volume24-
hcfmusp.origemsciELO-
hcfmusp.origem.idSCIELO:S1809-98232021000200203-
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dc.description.indexSciELOeng
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