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Defining and diagnosing sarcopenia: Is the glass now half full?
Univ Trieste, Dept Med Surg & Hlth Sci, Internal Med, Trieste, Italy.;Azienda Sanit Univ Integrata Trieste ASUITS, Trieste, Italy.;Univ Trieste, Dept Med Surg & Hlth Sci, Str Fiume 447, I-34149 Trieste, Italy..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism. Karolinska Univ Hosp, Stockholm, Sweden..ORCID iD: 0000-0003-3705-0725
Univ Trieste, Dept Med Surg & Hlth Sci, Internal Med, Trieste, Italy.;Azienda Sanit Univ Integrata Trieste ASUITS, Trieste, Italy..
Univ Trieste, Dept Med Surg & Hlth Sci, Internal Med, Trieste, Italy.;Azienda Sanit Univ Integrata Trieste ASUITS, Trieste, Italy..
2023 (English)In: Metabolism: Clinical and Experimental, ISSN 0026-0495, E-ISSN 1532-8600, Vol. 143, article id 155558Article, review/survey (Refereed) Published
Abstract [en]

Low muscle mass and function exert a substantial negative impact on quality of life, health and ultimately survival, but their definition, identification and combination to define sarcopenia have suffered from lack of universal consensus. Methodological issues have also contributed to incomplete agreement, as different approaches, techniques and potential surrogate measures inevitably lead to partly different conclusions. As a consequence: 1) awareness of sarcopenia and implementation of diagnostic procedures in clinical practice have been limited; 2) patient identification and evaluation of therapeutic strategies is largely incomplete. Significant progress has however recently occurred after major diagnostic algorithms have been developed, with common features and promising perspectives for growing consensus. At the same time, the need for further refinement of the sarcopenia concept has emerged, to address its increasingly recognized clinical heterogeneity. This includes potential differential underlying mechanisms and clinical features for age-and disease-driven sarcopenia, and the emerging challenge of sarcopenia in persons with obesity. Here, we will review existing algorithms to diagnose sarcopenia, and major open methodological issues to assess skeletal muscle mass and function under different clinical conditions, in order to highlight similarities and differences. Potential for consensus on sarcopenia diagnosis as well as emerging new challenges will be discussed.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 143, article id 155558
Keywords [en]
Sarcopenia, Diagnostic criteria, Algorithm
National Category
Geriatrics
Identifiers
URN: urn:nbn:se:uu:diva-510505DOI: 10.1016/j.metabol.2023.155558ISI: 001042664500001PubMedID: 37031950OAI: oai:DiVA.org:uu-510505DiVA, id: diva2:1793393
Available from: 2023-08-31 Created: 2023-08-31 Last updated: 2023-08-31Bibliographically approved

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Cederholm, Tommy

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