Relative validity of surrogate measures within the global leadership initiative on malnutrition (GLIM) phenotypic criteria for diagnosing adult malnutrition in resource-constrained settings

dc.contributor.authorVan Tonder, Esmarie
dc.contributor.authorWenhold, Friedeburg Anna Maria
dc.contributor.authorEsterhuizen, Tonya M.
dc.contributor.authorBlaauw, Reneé
dc.date.accessioned2026-02-04T08:27:18Z
dc.date.available2026-02-04T08:27:18Z
dc.date.issued2026-02
dc.description.abstractBACKGROUND AND AIM : Implementing the Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria may improve adult malnutrition identification. Some GLIM parameters are challenging to obtain in resource-constrained settings. We assessed the relative validity of accessible surrogates in substituting accepted phenotypic diagnostic criteria within GLIM. METHODS : In a prospective diagnostic accuracy study, adult ambulatory patients with diverging diagnoses from five South African hospitals were consecutively sampled. The Malnutrition Universal Screening Tool (MUST score≥1) and GLIM diagnostic criteria determined malnutrition risk and diagnosis respectively. Surrogates investigated for appendicular skeletal muscle mass index (ASMMI), measured by multifrequency bio-electrical impedance, were mid-upper arm circumference (MUAC) and body mass index-adjusted calf circumference (CC). Pearson correlation coefficients, receiver operating characteristics curve analysis, Youden's index, sensitivity (Se), specificity (Sp), and Cohen's kappa were used. RESULTS : Among 480 patients screened (51% male; mean age: 47.03 years, SD 14.87), 73% (n = 350) were at malnutrition risk. Of these, 54% (n = 189) were malnourished (GLIM criteria). MUAC and CC moderately correlated with ASMMI (r = 0.645; P<0.001 and r = 0.515; P<0.001 respectively). Optimal cut-offs for surrogates, with corresponding diagnostic accuracy, were: MUAC for ASMMI: 24.9 cm (area under the curve (AUC) = 0.857, Se = 85%, Sp = 74%) and CC for ASMMI: 29.1 cm (AUC = 0.819, Se = 73%, Sp = 83%). Substituting MUAC and CC for ASMMI at study-specific cut-offs - within the GLIM phenotypic criteria - was relatively valid (MUAC: kappa = 0.925, Se = 100%, Sp = 91%; CC: kappa = 0.849, Se = 100%, Sp = 91%). CONCLUSION : Within GLIM and using the reported cut-offs, MUAC reflects ASMMI. BMI-adjusted CC can replace low skeletal muscle mass. Valid, easy-to-use surrogates may enhance the feasibility of the GLIM diagnostic framework, particularly where resources are constrained.
dc.description.departmentHuman Nutrition
dc.description.librarianhj2026
dc.description.sdgSDG-03: Good health and well-being
dc.description.sponsorshipSupported by the National Research Foundation (Thuthuka Grant), the Harry Crossley Foundation, the Enteral Nutrition Association of South Africa and the Office of Research Development at the Nelson Mandela University.
dc.description.urihttp://www.clinicalnutritionopenscience.com/
dc.identifier.citationVan Tonder, E., Wenhold, F.A.M., Esterhuizen, T. et al. 2026, 'Relative validity of surrogate measures within the global leadership initiative on malnutrition (GLIM) phenotypic criteria for diagnosing adult malnutrition in resource-constrained settings', Clinical Nutrition Open Science, vol. 65, art. 100618, pp. 1-13, doi : 10.1016/j.nutos.2025.12.012.
dc.identifier.issn2667-2685 (online)
dc.identifier.other10.1016/j.nutos.2025.12.012
dc.identifier.urihttp://hdl.handle.net/2263/107815
dc.language.isoen
dc.publisherWiley
dc.rights© 2025 The Authors. Published by Elsevier Ltd on behalf of European Society for Clinical Nutrition and Metabolism. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
dc.subjectGlobal leadership initiative on malnutrition (GLIM)
dc.subjectMid-upper arm circumference (MUAC)
dc.subjectAppendicular skeletal muscle mass index (ASMMI)
dc.subjectCalf circumference (CC)
dc.titleRelative validity of surrogate measures within the global leadership initiative on malnutrition (GLIM) phenotypic criteria for diagnosing adult malnutrition in resource-constrained settings
dc.typeArticle

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