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      Comparison of the 2010 and 2019 diagnostic criteria for sarcopenia by the European Working Group on Sarcopenia in Older People (EWGSOP) in two cohorts of Swedish older adults

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          Abstract

          Background

          The operational definition of sarcopenia has been updated (EWGSOP2) and apply different cut-off points compared to previous criteria (EWGSOP1). Therefore, we aim to compare the sarcopenia prevalence and the association with mortality and dependence in activities of daily living using the 2010 (EWGSOP1 and 2019 (EWGSOP2 operational definition, applying cut-offs at two levels using T-scores.

          Methods

          Two birth cohorts, 70 and 85-years-old ( n = 884 and n = 157, respectively), were assessed cross-sectionally (57% women). Low grip strength, low muscle mass and slow gait speed were defined below − 2.0 and − 2.5 SD from a young reference population (T-score). Muscle mass was defined as appendicular lean soft tissue index by DXA. The EWGSOP1 and EWGSOP2 were applied and compared with McNemar tests and Cohen’s kappa. All-cause mortality was analyzed with the Cox-proportional hazard model.

          Results

          Sarcopenia prevalence was 1.4–7.8% in 70-year-olds and 42–62% in 85 years-old’s, depending on diagnostic criteria. Overall, the prevalence of sarcopenia was 0.9–1.0 percentage points lower using the EWGSOP2 compared to EWGSOP1 when applying uniform T-score cut-offs ( P <  0.005). The prevalence was doubled (15.0 vs. 7.5%) using the − 2.0 vs. -2.5 T-scores with EWGSOP2 in the whole sample. The increase in prevalence when changing the cut-offs was 5.7% ( P <  0.001) in the 70-year-olds and 17.8% ( P <  0.001) in the 85-year-olds (EWGSP2). Sarcopenia with cut-offs at − 2.5 T-score was associated with increased mortality (hazard ratio 2.4–2.8, P <  0.05) but not at T-score − 2.0.

          Conclusions

          The prevalence of sarcopenia was higher in 85-year-olds compared to 70-year-olds. Overall, the differences between the EWGSOP1 and EWGSOP2 classifications are small. Meaningful differences between EWGSOP1 and 2 in the 85-year-olds could not be ruled out. Prevalence was more dependent on cut-offs than on the operational definition.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12877-021-02533-y.

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          Most cited references64

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          The Measurement of Observer Agreement for Categorical Data

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            Sarcopenia: European consensus on definition and diagnosis

            The European Working Group on Sarcopenia in Older People (EWGSOP) developed a practical clinical definition and consensus diagnostic criteria for age-related sarcopenia. EWGSOP included representatives from four participant organisations, i.e. the European Geriatric Medicine Society, the European Society for Clinical Nutrition and Metabolism, the International Association of Gerontology and Geriatrics—European Region and the International Association of Nutrition and Aging. These organisations endorsed the findings in the final document. The group met and addressed the following questions, using the medical literature to build evidence-based answers: (i) What is sarcopenia? (ii) What parameters define sarcopenia? (iii) What variables reflect these parameters, and what measurement tools and cut-off points can be used? (iv) How does sarcopenia relate to cachexia, frailty and sarcopenic obesity? For the diagnosis of sarcopenia, EWGSOP recommends using the presence of both low muscle mass + low muscle function (strength or performance). EWGSOP variously applies these characteristics to further define conceptual stages as ‘presarcopenia’, ‘sarcopenia’ and ‘severe sarcopenia’. EWGSOP reviewed a wide range of tools that can be used to measure the specific variables of muscle mass, muscle strength and physical performance. Our paper summarises currently available data defining sarcopenia cut-off points by age and gender; suggests an algorithm for sarcopenia case finding in older individuals based on measurements of gait speed, grip strength and muscle mass; and presents a list of suggested primary and secondary outcome domains for research. Once an operational definition of sarcopenia is adopted and included in the mainstream of comprehensive geriatric assessment, the next steps are to define the natural course of sarcopenia and to develop and define effective treatment.
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              Sarcopenia: revised European consensus on definition and diagnosis

              doi: 10.1093/ageing/afy169 In the original version of the above paper there was an error in Table 3, which shows the recommended cut-off points for ASM/height2 in women. The cut-off point was given as <6.0 kg/m2, but the correct value is <5.5 kg/m2. This has now been corrected online. The authors wish to apologise for this error.
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                Author and article information

                Contributors
                ola.wallengren@gu.se
                Journal
                BMC Geriatr
                BMC Geriatr
                BMC Geriatrics
                BioMed Central (London )
                1471-2318
                26 October 2021
                26 October 2021
                2021
                : 21
                : 600
                Affiliations
                [1 ]GRID grid.8761.8, ISNI 0000 0000 9919 9582, Department of Internal Medicine and Clinical Nutrition, , Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, ; Gothenburg, Sweden
                [2 ]GRID grid.1649.a, ISNI 000000009445082X, Clinical Nutrition Unit, , Sahlgrenska University hospital, ; Gothenburg, Sweden
                [3 ]GRID grid.8761.8, ISNI 0000 0000 9919 9582, Department of Psychiatry and Neurochemistry, , Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, ; Gothenburg, Sweden
                [4 ]GRID grid.8761.8, ISNI 0000 0000 9919 9582, School of Public Health and Community Medicine, , Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, ; Gothenburg, Sweden
                [5 ]GRID grid.1649.a, ISNI 000000009445082X, Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, ; Gothenburg, Sweden
                [6 ]GRID grid.16982.34, ISNI 0000 0001 0697 1236, Faculty of Health Sciences, , Kristianstad University, ; Kristianstad, Sweden
                Article
                2533
                10.1186/s12877-021-02533-y
                8547086
                34702174
                7b0d2c68-84ef-4dd0-b245-3ac53fea1fc7
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 22 April 2021
                : 5 October 2021
                Funding
                Funded by: University of Gothenburg
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Geriatric medicine
                diagnostic criteria,sarcopenia,mortality,ewgsop,muscle mass,gait speed,handgrip strength,population sample,ageing,activities of daily living,h70

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