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

<h2>Abstract</h2><h3>Background and aim</h3> 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. <h3>Methods</h3> 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. <h3>Results</h3> Among 480 patients screened (51% male; mean age: 47.03 years, SD 14.87), 73% (<i>n</i> = 350) were at malnutrition risk. Of these, 54% (<i>n</i> = 189) were malnourished (GLIM criteria). MUAC and CC moderately correlated with ASMMI (<i>r</i> = 0.645; <i>P</i><0.001 and <i>r</i> = 0.515; <i>P</i><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%). <h3>Conclusion</h3> 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.

Authors

Institutions

Publication Details

Journal
Clinical Nutrition Open Science
Published
2025-12-19
DOI
https://doi.org/10.1016/j.nutos.2025.12.012
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Tonya M. Esterhuizen, Reneé Blaauw, E. Van Tonder, Friede Wenhold
Clinical Nutrition Open Science
Nutrition and Health in Aging
article

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

Tonya M. Esterhuizen, Reneé Blaauw, E. Van Tonder, Friede Wenhold
article en

Abstract

<h2>Abstract</h2><h3>Background and aim</h3> 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. <h3>Methods</h3> 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. <h3>Results</h3> Among 480 patients screened (51% male; mean age: 47.03 years, SD 14.87), 73% (<i>n</i> = 350) were at malnutrition risk. Of these, 54% (<i>n</i> = 189) were malnourished (GLIM criteria). MUAC and CC moderately correlated with ASMMI (<i>r</i> = 0.645; <i>P</i><0.001 and <i>r</i> = 0.515; <i>P</i><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%). <h3>Conclusion</h3> 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.

Clinical Nutrition Open ScienceVol. 65
Stellenbosch University (ZA), University of Pretoria (ZA), Nelson Mandela University (ZA)
Openalex Percentile: Top 49%
Nutrition and Health in Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.