Abstract

ObjectiveTo assess the frequency of severe acute malnutrition (SAM) and to determine the validity of mid-upper arm circumference (MUAC) as compared to weight for length z-score (WLZ-score) as an indicator of the nutritional status in this age group.MethodsA cross-sectional study, with a purposive sampling was conducted from March 2018 to November 2018 to enroll 540 infants ≤6 months of age from three different sites in Karachi, Pakistan. The anthropometric measurements (MUAC, length and weight) were taken by experienced community health workers. The data were analyzed using SPSS. MUAC was compared with WLZ-score for sensitivity and specificity to observe the concordant among the two diagnostic measures. The Youden Index was used to determine the ideal cut-off for infants less than 6 months of age in this population and the Kappa coefficient was also calculated to assess the agreement between MUAC and WLZ-score.ResultsThe study findings revealed that SAM was found in 13.6% (n=74) of the children. MUAC cut-off ≤11.5 cm yielded the Youden Index of 0.31 with 59.5% sensitivity and 71.4% specificity. The total area under receiver operating characteristic curve was 0.70 (95% CI: 0.63, 0.77; P < 0.001). The degree of agreement between mid-upper arm circumference and weight for length z-score to diagnose SAM ranged from 0.2 to 0.3.ConclusionThe Youden index implied that a MUAC cut-off of ≤11.5 cm can be used as an indicator with acceptable validity for diagnosing SAM in children ≤6 months of age in a low middle income developing country like Pakistan.

Highlights

  • There are approximately 3.8 million severely and moderately wasted children under the age of 6 months, mainly in low- and middle-income countries [1]

  • The study findings revealed that severe acute malnutrition (SAM) was found in 13.6% (n=74) of the children

  • The study findings further revealed that overall the mid-upper arm circumference (MUAC) cut-off ≤11.5 cm yielded the Youden index of 0.31 with sensitivity and specificity of 59.5% and 71.4% respectively

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Summary

Introduction

There are approximately 3.8 million severely and moderately wasted children under the age of 6 months, mainly in low- and middle-income countries [1]. A survey from neighboring India showed that MUAC had low sensitivity (17.5%) and positive predictive value (30.4%) at the recommended cut-off of 11.5 cm for identifying severe acute malnutrition (SAM) in children aged 6-36 months old, arising question on its validity as a screening tool for identifying SAM at the community level [6]. Unlike these results though, another study from India found MUAC cut off of

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