Optimal Screening of Children with Acute Malnutrition Requires a Change in Current WHO Guidelines as MUAC and WHZ Identify Different Patient Groups

Background Timely treatment of acute malnutrition in children <5 years of age could prevent >500,000 deaths annually. Screening at community level is essential to identify children with malnutrition. Current WHO guidelines for community screening for malnutrition recommend a Mid Upper Arm Circumference (MUAC) of <115 mm to identify severe acute malnutrition (SAM). However, it is currently unclear how MUAC relates to the other indicator used to define acute malnutrition: weight-for-height Z-score (WHZ). Methods Secondary data from >11,000 Cambodian children, obtained by different surveys between 2010 and 2012, was used to calculate sensitivity and ROC curves for MUAC and WHZ. Findings The secondary analysis showed that using the current WHO cut-off of 115 mm for screening for severe acute malnutrition over 90% of children with a weight-for-height z-score (WHZ) <−3 would have been missed. Reversely, WHZ<−3 missed 80% of the children with a MUAC<115 mm. Conclusions The current WHO cut-off for screening for SAM should be changed upwards from the current 115 mm. In the Cambodian data-set, a cut-off of 133 mm would allow inclusion of >65% of children with a WHZ<−3. Importantly, MUAC and WHZ identified different sub-groups of children with acute malnutrition, therefore these 2 indicators should be regarded as independent from each other. We suggest a 2-step model with MUAC used a screening at community level, followed by MUAC and WHZ measured at a primary health care unit, with both indicators used independently to diagnose severe acute malnutrition. Current guidelines should be changed to reflect this, with treatment initiated when either MUAC <115 mm or WHZ<−3.

[1]  Patrick Webb,et al.  Evidence-based interventions for improvement of maternal and child nutrition: what can be done and at what cost? , 2013, The Lancet.

[2]  R. Martorell,et al.  Maternal and child undernutrition and overweight in low-income and middle-income countries , 2013, The Lancet.

[3]  M. Dairo,et al.  Reliability of the Mid Upper Arm Circumference for the Assessment of Wasting among Children Aged 12-59 Months in Urban Ibadan, Nigeria , 2012, International journal of biomedical science : IJBS.

[4]  K. Michaelsen,et al.  Fat and Fat-Free Mass at Birth: Air Displacement Plethysmography Measurements on 350 Ethiopian Newborns , 2011, Pediatric Research.

[5]  M. van Herp,et al.  Accuracy of MUAC in the Detection of Severe Wasting With the New WHO Growth Standards , 2010, Pediatrics.

[6]  J. Wells Ethnic variability in adiposity and cardiovascular risk: the variable disease selection hypothesis. , 2009, International journal of epidemiology.

[7]  A. La Cava,et al.  Leptin and Inflammation. , 2008, Current immunology reviews.

[8]  Paluku Bahwere,et al.  Management of severe acute malnutrition in children , 2006, The Lancet.

[9]  T. Cole,et al.  Body composition in normal weight, overweight and obese children: matched case–control analyses of total and regional tissue masses, and body composition trends in relation to relative weight , 2006, International Journal of Obesity.

[10]  J. Wells,et al.  Evaluation of Arm Anthropometry for Assessing Pediatric Body Composition: Evidence from Healthy and Sick Children , 2006, Pediatric Research.

[11]  M. Peters-Golden,et al.  Leptin corrects host defense defects after acute starvation in murine pneumococcal pneumonia. , 2006, American journal of respiratory and critical care medicine.

[12]  Robert E Black,et al.  Where and why are 10 million children dying every year? , 2003, The Lancet.

[13]  R. Grimble,et al.  Nutritional modulation of immune function , 2001, Proceedings of the Nutrition Society.

[14]  E. Baráth,et al.  Fundamentals of Biostatistics. , 1992 .

[15]  B. Maire,et al.  Mid-upper arm circumference and weight-for-height to identify high-risk malnourished under-five children. , 2012, Maternal & child nutrition.