Arm circumference for age, Arm circumference and weight-for-height Z-score for the evaluation of severe acute malnutrition: a retrospective cohort study in eastern Democratic Republic of Congo

Author:

Ngaboyeka Gaylord1,Bisimwa Ghislain1,Neven Anouk2,Mwene-Batu Pacifique1,Kamable Richard3,Ongezi Emmanuel1,Chimanuka Christine1,Ntagerwa Joseph3,Balolebwami Serge3,Mulume Francis1,Battisti Oreste4,Dramaix Michèle2,Donnen Philippe2

Affiliation:

1. Ecole Régionale de Santé Publique, Université Catholique de Bukavu, Democratic Republic of Congo (DRC) (GN, GB

2. Université Libre de Bruxelles

3. Hôpital Provincial General de Reference de Bukavu, Université Catholique de Bukavu, Bukavu

4. Université de Liège

Abstract

Abstract Background Little is known about the use of mid-upper arm circumference for age (MUACZ) for diagnose of severe acute malnutrition (SAM) and its correlation with WHZ (weight-for-height Z-score) in an area endemic for severe acute malnutrition (SAM) and with a high prevalence of kwashiorkor. Our study aims to analyze the concordance between the diagnostic criteria of SAM in a region presenting these characteristics. Methods We analyzed a database of children admitted from 1987 to 2008 for the management of SAM in Eastern Democratic Republic of Congo. Anthropometric indicators (z-score) were calculated and classified into 3 categories according to WHO standards. Cohen's kappa coefficient (κ) was calculated to assess the concordance between these indicators. Results Out of the 9969 selected children aged 6 to 59 months, 30.2% had nutritional edema, 70.1% had a height-for-age (HAZ) z-score <-2, 11.5% WHZ<-3 z-score, 14.9% had a MUAC < 115 and 21.8% had a MUACZ <-3 z-score. With the classic combination WHZ and MUAC, 36% of children with SAM had both criteria at the same time and MUAC alone being the indicator that recruited more children with SAM (77%) compared with 65% with WHZ only. By replacing MUAC with MUACZ, 34% of SAM children fulfilled both criteria, WHZ and MUACZ. MUACZ alone recruited more children with SAM (88%) compared with 46% with WHZ alone. Considering these three indicators together, MUAZ remained the indicator that recruited more children with SAM (85%). WHZ and MUAC showed a moderate agreement [ κ (95% CI) = 0.408 (0.392–0.424)], WHZ and MUACZ a weak agreement [ κ (95% CI) = 0.363(0.347–0.379)] and MUAC and MUACZ a good agreement [ κ (95% CI) = 0.604 (0.590–0.618)]. Conclusion Adjusting MUAC for age increases its ability to recruit children suffering from MAS in our region. Despite this, MUAC remains complementary to WHZ because of their weak concordance.

Publisher

Research Square Platform LLC

Reference54 articles.

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