Evidence map›Paper›PMID 41430212›Full record

Observational studyBMC public health2025

Mid-upper arm circumference cut-offs identifying malnourishment and risk of mortality among patients with tuberculosis.

C B Patsche, A Sifna, F Rudolf, V F Gomes, C Wejse

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

C B PatscheCentre for Global Health, GloHAU, Aarhus University, Aarhus, Denmark. patsche@ph.au.dk.
A SifnaBandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau.
F RudolfCentre for Global Health, GloHAU, Aarhus University, Aarhus, Denmark.
V F GomesBandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau.
C WejseCentre for Global Health, GloHAU, Aarhus University, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing Mid-Upper Arm Circumference (MUAC) in place of Body Mass Index (BMI) may be preferable for identifying malnutrition in various situations, especially in resource-poor settings. The primary objective of this study was to determine MUAC cut-offs corresponding to BMI < 20 kg/m2, < 18.5 kg/m2, < 17 kg/m2 and < 16 kg/m2 in a cohort of patients with tuberculosis from West Africa. The secondary objective was to examine the prognostic value of MUAC cut-offs in predicting mortality at two months of tuberculosis treatment. The aim was to propose unisex MUAC cut-offs that could be used to identify malnutrition and to identify patients at increased risk of dying.

methodsThis prospective, observational cohort study was conducted from 2003 to 2022. Diagnostic accuracy of MUAC to identify BMI cut-offs was assessed for every 0.5 cm in the range < 20.0 cm to < 27.0 cm. Area under the receiver operating characteristic curves (AUROCCs), sensitivity (SENS), specificity (SPEC), false negative and false positive were determined. Cox proportional hazard model was used to examine the association between MUAC cut-offs and mortality.

resultsData from 2,098 patients were included. MUAC was found to be excellent in its ability to identify BMI cut-offs with AUROCCs close to 0.9. The MUAC cut-offs that best corresponded to BMI < 20 kg/m2, < 18.5 kg/m2, < 17 kg/m2 and < 16 kg/m2 were < 25 cm (SENS 75.1%, SPEC 83.0%), < 24 cm (SENS 75.1%, SPEC 80.0%), < 23 cm (SENS 77.9%, SPEC 83.2%) and < 22.5 cm (SENS 80.3%, SPEC 81.9%). Mortality risk significantly increased with MUAC values < 22 cm.

conclusionsMUAC cut-off < 25 cm was proposed to be used in place of BMI < 20 kg/m2 to identify malnourishment and MUAC cut-off < 22 cm was proposed to identify patients at increased risk of dying and thus in need of further attention.

Indexed as

AnthropometryArmMalnutritionTuberculosisAdultBody Mass IndexFemaleHumansMaleMiddle AgedProspective StudiesRisk AssessmentAnthropometryBMIMortalityMUACNutritional statusTuberculosis

Identifiers

PMID41430212
PMCPMC12750721

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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 OpenQuestion graph.