Evidence map›Paper›PMID 40230404›Full record

ArticleClinical interventions in aging2025

Evaluation of the Diagnosis Accuracy of the AWGS 2019 Criteria for "Possible Sarcopenia" in Thai Community-Dwelling Older Adults.

Nath Adulkasem, Ekasame Vanitcharoenkul, Pojchong Chotiyarnwong, Apichat Asavamongkolkul, Aasis Unnanuntana

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Article in Clinical interventions in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nath AdulkasemDepartment of Orthopaedic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Ekasame VanitcharoenkulDepartment of Orthopaedic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Pojchong ChotiyarnwongDepartment of Orthopaedic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Apichat Asavamongkolkul *Department of Orthopaedic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-7868-7426
Aasis Unnanuntana *Department of Orthopaedic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The term "possible sarcopenia" was introduced in the Asian Working Group for Sarcopenia (AWGS) 2019 guidelines to characterize individuals at high risk for sarcopenia in primary care settings. However, studies that support the diagnostic accuracy of this criteria remain scarce. Accordingly, the primary aim of this study was to assess the diagnostic accuracy of the AWGS 2019 "possible sarcopenia" criteria for detecting sarcopenia in Thai community-dwelling older adults. Our secondary aim was to explore the use of adjunct variables to improve the diagnostic accuracy of the "possible sarcopenia" criteria for detecting sarcopenia. Methods: This study is a secondary analysis of an epidemiological investigation of the prevalence of sarcopenia among Thai older adults that was conducted during 2021-2022. We assessed the performance of the "possible sarcopenia" criteria against sarcopenia diagnoses based on the AWGS 2019 guidelines. In an attempt to improve the diagnostic performance of the AWGS 2019 criteria, we combined the AWGS 2019 criteria with age, sex, height, body weight, or BMI to create modified criteria. The variable that influenced the highest area under the receiver operating characteristic curve (AUC) was incorporated in the modified AWGS 2019 criteria. Results: A total of 2456 participants (mean age 69.0 ± 6.1 years, 63.6% female) were included. Of these, 445 (18.1%) patients were diagnosed with sarcopenia. The "possible sarcopenia" criteria showed a sensitivity of 94.6%, a specificity of 54.0%, and an AUC of 74% for detecting sarcopenia. Incorporating BMI improved the AUC by 17%. A BMI cutoff value <24 kg/m² was shown to increase specificity to 72.7%, while maintaining sensitivity at 89.9%. Conclusion: The AWGS 2019 criteria for "possible sarcopenia" showed excellent sensitivity in detecting sarcopenia but lacked sufficient specificity. The modified AWGS "possible sarcopenia" criteria, which includes a BMI cutoff of <24 kg/m², increased the specificity for detecting sarcopenia while preserving high sensitivity among Thai community-dwelling older adults.

Indexed as

Geriatric AssessmentSarcopeniaAgedAged, 80 and overAging in PlaceBody Mass IndexFemaleHumansMaleMiddle AgedPractice Guidelines as TopicPrevalenceROC CurveSensitivity and SpecificitySoutheast Asian PeopleThailandAsian Working Group for Sarcopenia 2019 criteriadiagnostic accuracyevaluation“possible sarcopenia”Thai community-dwelling older adults

Identifiers

PMID40230404
PMCPMC11994469

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.