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. 2019 Mar 15;56(3):209-212.

Validating the MUAC (Mid-upper arm circumference) Cut-off for Detection of Severe Acute Malnutrition in Children Aged 6-59 Months in Rural Maharashtra

R Sougaijam  1 , S S Gupta  2 , A V Raut  2 , M S Bharambe  2 , B S Garg  2
Affiliations
  • PMID: 30954993

Validating the MUAC (Mid-upper arm circumference) Cut-off for Detection of Severe Acute Malnutrition in Children Aged 6-59 Months in Rural Maharashtra

R Sougaijam et al. Indian Pediatr. .

Abstract

Objective: To review the Mid-upper arm circumference (MUAC) cut-off currently being used to identify Severe Acute Malnutrition (SAM) as currently defined using Weight-for-Height.

Methods: Cross-sectional study conducted in 24 villages of a Primary Health Centre in Wardha district of Maharashtra among 2650 children between the ages of 6 to 59 months.

Results: For identifying SAM, sensitivity of MUAC was 23.5% and specificity was 99.7% for cut-off <11.5 cm. Using Youden index, best Mid-upper arm circumference cut-off point to identify SAM was <13 cm with sensitivity of 74.5% and specificity of 92.7%. Using Receiver operating characteristics curve, best MUAC cut-off point was 12.8 cm with 74.5% sensitivity and 92.7% specificity. Area under curve was 0.88 (95%CI: 0.85-0.91).

Conclusion: The current MUAC cut-off of <11.5 cm for detecting SAM needs to be increased to ensure that children, who need referral for management of malnutrition, are not missed.

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