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Mid-upper arm circumference in detection of weight-for-height Z-score below −3 in children aged 6–59 months

  • Umesh Kapil (a1), RM Pandey (a2), Rahul Bansal (a3), Bhavana Pant (a3), Amit Mohan Varshney (a3), Chander Prakash Yadav (a2), Shikha Sinha (a4), Neha Sareen (a1) and Harshpal Singh Sachdev (a4)...

Abstract

Objective

To evaluate the predictive ability of mid-upper arm circumference (MUAC) for detecting severe wasting (weight-for-height Z-score (WHZ) <−3) among children aged 6–59 months.

Design

Cross-sectional survey.

Setting

Rural Uttar Pradesh, India.

Subjects

Children (n 18 456) for whom both WHZ (n 18 463) and MUAC were available.

Results

The diagnostic test accuracy of MUAC for severe wasting was excellent (area under receiver-operating characteristic curve = 0·933). Across the lower range of MUAC cut-offs (110–120 mm), specificity was excellent (99·1–99·9 %) but sensitivity was poor (13·4–37·2 %); with higher cut-offs (140–150 mm), sensitivity increased substantially (94·9–98·8 %) but at the expense of specificity (37·6–71·9 %). The optimal MUAC cut-off to detect severe wasting was 135 mm. Although the prevalence of severe wasting was constant at 2·2 %, the burden of severe acute malnutrition, defined as either severe wasting or low MUAC, increased from 2·46 to 17·26 % with cut-offs of <115 and <135 mm, respectively. An MUAC cut-off <115 mm preferentially selected children aged ≤12 months (OR=11·8; 95 % CI 8·4, 16·6) or ≤24 months (OR=23·4; 95 % CI 12·7, 43·4) and girls (OR=2·2; 95 % CI 1·6, 3·2).

Conclusions

Based on important considerations for screening and case detection in the community, modification of the current WHO definition of severe acute malnutrition may not be warranted, especially in the Indian context.

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Copyright

Corresponding author

* Corresponding author: Email umeshkapil@gmail.com

References

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Mid-upper arm circumference in detection of weight-for-height Z-score below −3 in children aged 6–59 months

  • Umesh Kapil (a1), RM Pandey (a2), Rahul Bansal (a3), Bhavana Pant (a3), Amit Mohan Varshney (a3), Chander Prakash Yadav (a2), Shikha Sinha (a4), Neha Sareen (a1) and Harshpal Singh Sachdev (a4)...

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