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Comparative Study
. 2009 Mar 3;6(3):e39.
doi: 10.1371/journal.pmed.1000039.

Prognostic accuracy of WHO growth standards to predict mortality in a large-scale nutritional program in Niger

Affiliations
Comparative Study

Prognostic accuracy of WHO growth standards to predict mortality in a large-scale nutritional program in Niger

Nathanael Lapidus et al. PLoS Med. .

Abstract

Background: Important differences exist in the diagnosis of malnutrition when comparing the 2006 World Health Organization (WHO) Child Growth Standards and the 1977 National Center for Health Statistics (NCHS) reference. However, their relationship with mortality has not been studied. Here, we assessed the accuracy of the WHO standards and the NCHS reference in predicting death in a population of malnourished children in a large nutritional program in Niger.

Methods and findings: We analyzed data from 64,484 children aged 6-59 mo admitted with malnutrition (<80% weight-for-height percentage of the median [WH]% [NCHS] and/or mid-upper arm circumference [MUAC] <110 mm and/or presence of edema) in 2006 into the Médecins Sans Frontières (MSF) nutritional program in Maradi, Niger. Sensitivity and specificity of weight-for-height in terms of Z score (WHZ) and WH% for both WHO standards and NCHS reference were calculated using mortality as the gold standard. Sensitivity and specificity of MUAC were also calculated. The receiver operating characteristic (ROC) curve was traced for these cutoffs and its area under curve (AUC) estimated. In predicting mortality, WHZ (NCHS) and WH% (NCHS) showed AUC values of 0.63 (95% confidence interval [CI] 0.60-0.66) and 0.71 (CI 0.68-0.74), respectively. WHZ (WHO) and WH% (WHO) appeared to provide higher accuracy with AUC values of 0.76 (CI 0.75-0.80) and 0.77 (CI 0.75-0.80), respectively. The relationship between MUAC and mortality risk appeared to be relatively weak, with AUC = 0.63 (CI 0.60-0.67). Analyses stratified by sex and age yielded similar results.

Conclusions: These results suggest that in this population of children being treated for malnutrition, WH indicators calculated using WHO standards were more accurate for predicting mortality risk than those calculated using the NCHS reference. The findings are valid for a population of already malnourished children and are not necessarily generalizable to a population of children being screened for malnutrition. Future work is needed to assess which criteria are best for admission purposes to identify children most likely to benefit from therapeutic or supplementary feeding programs.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Exclusion Criteria Applied in the Study and Final Sample Size
Figure 2
Figure 2. ROC Curves for the Prediction of Death for the WH Indicators (WH% and WHZ) for the WHO Growth Standards and the NCHS Standards
Figure 3
Figure 3. Sensitivity and Specificity for the Prediction of Death of the Cutoff for the WH% Using the WHO Growth Standards
Figure 4
Figure 4. Sensitivity and Specificity for the Prediction of Death of the Cutoff for the WHZ using the WHO Growth Standards

References

    1. WHO Multicentre Growth Reference Study Group. WHO Child Growth Standards: Length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: Methods and development. Geneva: WHO; 2006.
    1. de Onis M, Onyango AW, Borghi E, Garza C, Yang H. Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: implications for child health programmes. Public Health Nutr. 2006;9:942–947. - PubMed
    1. Seal A, Kerac M. Operational implications of using 2006 World Health Organization growth standards in nutrition programmes: secondary data analysis. BMJ. 2007;334:733. - PMC - PubMed
    1. World Health Organization. Country Profiles: Niger. Available: http://www.who.int/countries/ner/en/. Accessed 5 October 2007.
    1. National Institute of Statistics (INS), Niger and Macro International Inc. Demographic Health Survey/Multiple Indicator Cluster Survey 2006 (DHS/MICS III) Preliminary Report. Calverton (Maryland): INS and Macro International; 2007.

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