Determining an optimal case definition using mid-upper arm circumference with or without weight for age to identify

Lyle Daryll Dimaano Casas1,2, Jhanna Uy1,3, Eldridge Ferrer4

  • 1Research Department, Philippine Institute for Development Studies, Quezon City, Metro Manila, Philippines.

Plos One
|December 27, 2024
PubMed

Insights

Mid-Upper Arm Circumference (MUAC) alone is insufficient for identifying wasted Filipino children. Combining MUAC with weight-for-age z-score (WAZ) significantly improves detection accuracy for moderate and severe wasting, aiding timely intervention.

Area of Science:

  • Public Health Nutrition
  • Pediatric Malnutrition
  • Diagnostic Accuracy Studies

Background:

  • Accurate anthropometric measurements like weight-for-height z-scores (WHZ) are crucial for identifying child wasting but are challenging in resource-limited settings.
  • Mid-Upper Arm Circumference (MUAC) is a simpler screening tool, but its effectiveness alone in identifying wasting needs further evaluation.
  • Existing MUAC cutoffs may lead to underdiagnosis and delayed treatment for wasted children, impacting health outcomes.

Purpose of the Study:

  • To identify the optimal case definition for detecting child wasting in Filipino children aged 6-59 months using WHZ as the criterion standard.
  • To evaluate the diagnostic performance of various MUAC cutoffs and combined MUAC-weight-for-age z-score (WAZ) definitions.

Main Methods:

  • Analysis of the 2018-2019 Expanded National Nutrition Survey data from the Philippines (N=30,522).
  • Assessment of the diagnostic accuracy (sensitivity, specificity, AUROC) of different MUAC cutoffs and combined MUAC-WAZ criteria against WHZ.
  • Identification of the best-performing case definition based on the highest area under the receiver operating characteristic curve (AUROC).

Main Results:

  • Current MUAC cutoffs demonstrated poor performance in identifying severe (AUROC: 0.558) and moderate (AUROC: 0.586) wasting.
  • Optimal MUAC cutoffs were identified as <13.6cm for severe wasting (AUROC: 0.690) and 14.0cm for moderate wasting (AUROC: 0.737).
  • Combining WAZ < -2 with MUAC cutoffs (<11.7cm for severe, <12.7cm for moderate) significantly improved diagnostic accuracy (AUROC: 0.800 and 0.810, respectively).

Conclusions:

  • Solely relying on expanded MUAC cutoffs offers insufficient improvement for detecting wasting based on WHZ criteria in Filipino children.
  • Integrating WAZ with MUAC provides a more accurate and sensitive approach to identify children with moderate and severe wasting.
  • The proposed combined WAZ and MUAC case definitions warrant further investigation for practical implementation in the Philippine Integrated Management of Acute Malnutrition program.