%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Fiorentino, M.
%A Sophonneary, P.
%A Laillou, A.
%A Whitney, S.
%A de Groot, R.
%A Perignon, Marlène
%A Kuong, K.
%A Berger, Jacques
%A Wieringa, Franck
%T Current MUAC cut-offs to screen for acute malnutrition need to be adapted to gender and age : the example of Cambodia
%D 2016
%L fdi:010066215
%G ENG
%J Plos One
%@ 1932-6203
%K CAMBODGE
%M ISI:000369550200009
%N 2
%P e0146442 [11 ]
%R 10.1371/journal.pone.0146442
%U https://www.documentation.ird.fr/hor/fdi:010066215
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers16-03/010066215.pdf
%V 11
%W Horizon (IRD)
%X Background Early identification of children <5 yrs with acute malnutrition is a priority. Acute malnutrition is defined by the World Health Organization as a mid-upper-arm circumference (MUAC) <12.5 cm or a weight-for-height Z-score (WHZ) <-2. MUAC is a simple and low-cost indicator to screen for acute malnutrition in communities, but MUAC cut-offs currently recommended by WHO do not identify the majority of children with weight-for-height Z-score (<-2 (moderate malnourished) or r<-3 (severe malnourished). Also, no cut-offs for MUAC are established for children >5 yrs. Therefore, this study aimed at defining gender and age-specific cut-offs to improve sensitivity of MUAC as an indicator of acute malnutrition. Methods To establish new age and gender-specific MUAC cut-offs, pooled data was obtained for 14,173 children from 5 surveys in Cambodia (2011-2013). Sensitivity, false positive rates, and areas under receiver-operator characteristic curves (AUC) were calculated using wasting for children <5yrs and thinness for children >= 5yrs as gold standards. Among the highest values of AUC, the cut-off with the highest sensitivity and a false positive rate <= 33% was selected as the optimal cut-off. Results Optimal cut-off values increased with age. Boys had higher cut-offs than girls, except in the 8-10.9 yrs age range. In children <2yrs, the cut-off was lower for stunted children compared to non stunted children. Sensitivity of MUAC to identify WHZ<-2 and <-3 z-scores increased from 24.3% and 8.1% to >80% with the new cut-offs in comparison with the current WHO cut-offs. Conclusion Gender and age specific MUAC cut-offs drastically increased sensitivity to identify children with WHZ-score <-2 z-scores. International reference of MUAC cut-offs by age group and gender should be established to screen for acute malnutrition at the community level.
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