4.7 Article

European Working Group on Sarcopenia in Older People 2010 (EWGSOP1) and 2019 (EWGSOP2) criteria or slowness: which is the best predictor of mortality risk in older adults?

Journal

AGE AND AGEING
Volume 51, Issue 7, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/ageing/afac164

Keywords

sarcopenia; handgrip strength; longitudinal study; English Longitudinal Study of Ageing (ELSA study); mobility; older people

Funding

  1. National Institute on Aging USA [R01AG017644]
  2. consortium of UK government by the Economic and Social Research Council (ESRC)
  3. National Council of Scientific and Technological Development (CNPq) [303981/2017-2, 303577/2020-7]
  4. Sao Paulo Research Foundation (FAPESP) [18/13917-3]
  5. Coordination for the Improvement of Higher Education Personnel(CAPES) Institution Internalisation Program (CAPES PrInt) [88887.570076/2020-00]
  6. Economic and Social Research Council [ES/T008822/1]
  7. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [18/13917-3] Funding Source: FAPESP

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This study found that grip strength, gait speed, and sarcopenia are important predictors of mortality in older adults, with specific cutoff points providing the best accuracy in identifying mortality risk.
Objectives to analyse the accuracy of grip strength and gait speed in identifying mortality; to compare the association between mortality and sarcopenia defined by the EWGSOP1 and EWGSOP2 using the best cut-off found in the present study and those recommended in the literature and to test whether slowness is better than these two definitions to identify the risk of death in older adults. Methods a longitudinal study was conducted involving 6,182 individuals aged 60 or older who participated in the English Longitudinal Study of Ageing. Sarcopenia was defined based on the EWGSOP1 and EWGSOP2 using different cut-off for low muscle strength (LMS). Mortality was analysed in a 14-year follow-up. Results compared with the LMS definitions in the literature (<32, <30, <27 and < 26 kg for men; <21, <20 and < 16 kg for women), the cut-off of <36 kg for men (sensitivity = 58.59%, specificity = 72.96%, area under the curve [AUC] = 0.66) and < 23 kg for women (sensitivity = 68.90%, specificity = 59.03%, AUC = 0.64) as well as a low gait speed (LGS) <= 0.8 m/s (sensitivity = 53.72%, specificity = 74.02%, AUC = 0.64) demonstrated the best accuracy for mortality. Using the cut-off found in the present study, probable sarcopenia [HR = 1.30 (95%CI: 1.16-1.46)], sarcopenia [HR = 1.48 (95%CI: 1.24-1.78)] and severe sarcopenia [HR = 1.78 (95%CI: 1.49-2.12)] according to EWGSOP2 were better predictors of mortality risk than EWGSOP1. LGS <= 0.8 m/s was a better mortality risk predictor only when LMS was defined by low cut-off. Conclusions using LMS <36 kg for men and < 23 kg for women and LGS <= 0.8 m/s, EWGSOP2 was the best predictor for mortality risk in older adults.

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