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dc.rights.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0es_MX
dc.creatorRoberto Alves Lourençoes_MX
dc.creatorMARIO ULISES PEREZ ZEPEDAes_MX
dc.creatorLUIS MIGUEL FRANCISCO GUTIERREZ ROBLEDOes_MX
dc.creatorFrancisco Jose García_Garcíaes_MX
dc.creatorLeocadio Rodríguez-Mañases_MX
dc.date2015-
dc.date.accessioned2019-01-14T17:44:36Z-
dc.date.available2019-01-14T17:44:36Z-
dc.identifier.urihttp://repositorio.inger.gob.mx/jspui/handle/20.500.12100/17155-
dc.descriptionAbstract: 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.es_MX
dc.formatAdobe PDFes_MX
dc.languageenges_MX
dc.publisherOxford University Presses_MX
dc.relationhttps://academic.oup.com/ageing/article/44/2/334/94058es_MX
dc.relation.requiresSies_MX
dc.rightsAcceso Abiertoes_MX
dc.sourceAge and Ageing (1468-2834) vol. 44 (2015)es_MX
dc.subjectMEDICINA Y CIENCIAS DE LA SALUDes_MX
dc.subjectCiencias médicases_MX
dc.subjectCiencias clínicases_MX
dc.subjectGeriatríaes_MX
dc.subjectCondiciones patológicas (signos y síntomas)es_MX
dc.subjectProcesos patológicoses_MX
dc.subjectFragilidades_MX
dc.subjectAtrofia musculares_MX
dc.subjectSarcopeniaes_MX
dc.subjectGeriatricses_MX
dc.subjectPathological condition (signs and sympthoms)es_MX
dc.subjectPatologic processeses_MX
dc.subjectFrailtyes_MX
dc.subjectMuscular atrophyes_MX
dc.titlePerformance of the european working group on sarcopenia in older people algorithm in screening older adults for muscle mass assessmentes_MX
dc.typeArtículoes_MX
dc.audienceResearcherses_MX
dc.creator.id0000-0003-0838-1285es_MX
dc.creator.idPEZM760111HDFRPR07es_MX
dc.creator.idGURL571005HDFTBS14es_MX
dc.creator.id0000-0003-3690-6069es_MX
dc.creator.id0000-0002-6551-1333es_MX
dc.creator.nameIdentifierorcides_MX
dc.creator.nameIdentifiercurpes_MX
dc.creator.nameIdentifiercurpes_MX
dc.creator.nameIdentifiercvues_MX
dc.creator.nameIdentifierorcides_MX
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