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Mid upper arm circumference as a predictor of risk of mortality in children in a low resource setting in India
Sunita Taneja1, Temsunaro Rongsen-Chandola1, Sanjana Brahmawar Mohan1
1Centre for Health Research and Development, Society for Applied Studies, New Delhi, India.
Insights
Mid-Upper Arm Circumference (MUAC) effectively predicts mortality in young children. This screening tool is valuable for identifying malnutrition in settings lacking height measurements.
Area of Science:
- Pediatric Nutrition
- Global Health
- Child Mortality
Background:
- Malnutrition remains a significant threat to child survival globally.
- Accurate and accessible screening tools are crucial for early intervention.
- Mid-Upper Arm Circumference (MUAC) is a widely used anthropometric measure in children.
Purpose of the Study:
- To evaluate Mid-Upper Arm Circumference (MUAC) as a predictor of mortality in children aged 6-59 months.
- To assess both absolute MUAC values and MUAC z-scores for predicting mortality risk.
- To analyze the performance of MUAC in identifying severe and moderate malnutrition.
Main Methods:
- Secondary analysis of intervention trial data from Delhi, India.
- Follow-up of children one year after initial MUAC measurements.
- Categorization of malnutrition based on MUAC (<115 mm) and MUAC z-scores (<-3SD).
Main Results:
- Severe malnutrition by MUAC (<115 mm) was 0.5%, with a 4.7% associated mortality.
- Severe malnutrition by MUAC z-score (<-3SD) was 0.9%, with a 2.2% associated mortality.
- MUAC demonstrated a significant association with subsequent mortality over one year.
Conclusions:
- MUAC is a significant predictor of mortality in children under five.
- MUAC serves as a practical screening tool for identifying severely malnourished children when height measurement is not feasible.
Objective:
In this secondary analysis of data from an intervention trial, we assessed the performance of Mid Upper Arm Circumference (MUAC) as a predictor of mortality in children aged 6-59 months from Delhi, India, one year after their initial MUAC measurements were taken. Additionally, we assessed MUAC as an absolute value and MUAC z-scores as predictors of risk of mortality.
Methods:
In the trial, children were screened using MUAC prior to referral to the study clinic. These children were revisited a year later to ascertain their vital status. Baseline MUAC and MUAC z-scores were used to categorize children as severely (MUAC <115 mm, MUAC z-score <-3SD) or moderately (MUAC 115 to <125 mm, MUAC z-score <-2SD) malnourished. The proportion of malnutrition, risk of mortality, relative risk estimates, positive predictive value and area under the curve (AUC) by MUAC and MUAC z-scores were calculated.
Results:
In the resurvey, the first 36159 children of the 48635 in the initial survey were contacted. Of these, vital status of 34060 (94.2%) was available. The proportion of severe malnutrition by MUAC (<115 mm) was 0.5% with an associated mortality of 4.7% over a one year period and an attributable mortality of 13% while the proportion of the severe malnutrition by MUAC z-score (<-3SDwas 0.9% with an associated mortality of 2.2%.
Conclusions:
MUAC is a significant predictor of subsequent mortality in under-five children. In settings where height measurement is not feasible, MUAC can be used as a screening tool for identifying severely malnourished children for management.
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