Performance of the European Working Group on Sarcopenia in Older People algorithm in screening older adults for muscle mass assessment.
Background: there is a lack of consensus on the diagnosis of sarcopenia. A screening and diagnostic algorithm was proposed by the European Working Group on Sarcopenia in Older People (EWGSOP).Objective: to assess the performance of the EWGSOP algorithm in determining the proportion of subjects suspe...
| Publicado en: | Age & Ageing Vol. 44; no. 2; pp. 334 - 339 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Mar2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=101372244&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 101372244 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: Mar2015 vid: 44 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 101372244 ppf: 334 ppct: 5 formats: tig: atl: Performance of the European Working Group on Sarcopenia in Older People algorithm in screening older adults for muscle mass assessment. aug: au: Lourenço, Roberto Alves Pérez-Zepeda, Mario Gutiérrez-Robledo, Luis García-García, Francisco J. Rodríguez Mañas, Leocadio affil: Internal Medicine Department, Faculty of Medical Sciences , Rio de Janeiro State University , Rio de Janeiro , Brazil Geriatric Epidemiologic Research , Instituto Nacional de Geriatría , Periferico Sur 2767, Colonia San Jeronimo Lidice, Delegacion Magdalena Contreras, Mexico, Distrito Federal 10200 , Mexico General Direction , National Institute of Geriatrics , México, Distrito Federal , Mexico Servicio de Geriatría, Complejo Hospitalario de Toledo, Toledo , Spain Servicio de Geriatría, Hospital Universitario de Getafe, Getafe , Spain su: Brazil Mexico Spain Analysis of variance Anthropometry Medical screening Cross-sectional method Old age Sarcopenia Algorithms Chi-squared test Diagnosis Gait in humans Grip strength Research funding Lean body mass Descriptive statistics sug: subj: Analysis of variance Anthropometry Medical screening Cross-sectional method Old age Brazil Mexico Spain All Other Miscellaneous Ambulatory Health Care Services Sarcopenia Algorithms Chi-squared test Diagnosis Gait in humans Grip strength Research funding Lean body mass Descriptive statistics keyword: aged clinical utility diagnostic tests frailty gait speed handgrip strength older people sarcopenia aged clinical utility diagnostic tests frailty gait speed handgrip strength older people sarcopenia ab: Background: there is a lack of consensus on the diagnosis of sarcopenia. A screening and diagnostic algorithm was proposed by the European Working Group on Sarcopenia in Older People (EWGSOP).Objective: to assess the performance of the EWGSOP algorithm in determining the proportion of subjects suspected of having sarcopenia and selected to undergo subsequent muscle mass (MM) measurement.Design: a cross-sectional study.Setting: the cohorts, Frailty in Brazilian Older People Study—Rio de Janeiro (FIBRA-RJ), Brazil; Coyoacan Cohort (CC), Mexico City, Mexico; and Toledo Study for Healthy Aging (TSHA), Toledo, Spain.Subjects: three thousand two hundred and sixty community-dwelling individuals, 65 years and older.Methods: initially, the EWGSOP algorithm was applied using its originally proposed cut-off values for gait speed and handgrip strength; in the second step, values tailored for the specific cohorts were used.Results: using the originally suggested EWGSOP cut-off points, 83.4% of the total cohort (94.4% in TSHA, 75.5% in FIBRA-RJ, 67.8% in CC) would have been considered as suspected of sarcopenia. Adapted cut-off values lowered the proportion of abnormal results to 34.2% (quintile-based approach) and 23.71% (z-score approach).Conclusions: the algorithm proposed by the EWGSOP is of limited clinical utility in screening older adults for sarcopenia due to the high proportion of subjects selected to further undergo MM assessment. Tailoring cut-off values to specific characteristics of the population being studied reduces the number of people selected for MM assessment, probably improving the performance of the algorithm. Further research including the objective measure of MM is needed to determine the accuracy of these specific cut-off points. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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