Optimal screening of children with acute malnutrition requires a change in current WHO guidelines as MUAC and WHZ identify different patient groups

Improving case-detection of severe wasting among under-five-year-old children in Timor Leste: A secondary analysis of data from the 2020 national cross-sectional food and nutrition survey

The World Health Organization recommends using weight-for-height Z-score (WHZ) <-3 or Mid-Upper Arm Circumference (MUAC) <115 mm as independent criteria for diagnosing severe wasting. However, there are several challenges in using the WHZ criterion. As a result, the MUAC (and edema)-only approach for identifying children needing treatment for severe wasting has been developed and is being rapidly scaled-up globally, including in Timor-Leste. But previous studies reported that MUAC<115 mm has poor diagnostic accuracy for detecting children with WHZ<-3. The two options being explored globally for improving the identification of these children in MUAC (and edema)-only programming contexts include expanding MUAC cut-off and the combination of the indicators MUAC and Weight-for-Age Z-score (WAZ). This study explored the accuracy for diagnosing severe wasting (WHZ<-3) of these two options in Timor-Leste. We conducted a secondary analysis of data from the 2020 national Timor-Leste Food and Nutrition Survey. We tested the accuracy of various MUAC cut-offs, and predefined case definitions in five age groups (0-5 months, 6-23 months, 24-59 months, 6-59 months, and 0-59 months). We calculated the standard diagnostic test parameters (sensitivity, specificity, Youden Index, and others) and used the Youden Index as the principal criterion for rating the overall level of accuracy. The sample analyzed comprised 11,056 children with complete information on our key variables (anthropometric data, age, and sex), of whom 52.2% were boys. The age groups 0 to 5 months, 6 to 23 months, and 24 to 59 months represented 9.0%, 33.7%, and 57.3% of the sample, respectively. We found that the optimal diagnostic MUAC cut-off varied across the age groups between 117 mm and 142 mm, with the Youden Index remaining < 55% in all the age groups considered. The use of case definitions combing MUAC and WAZ optimized the identification of children with WHZ<-3. The case definition MUAC<130 mm or WAZ<-3 Z-score had the best diagnostic accuracy in all the age groups except for the 0 to 5 months age group for which the case definition MUAC<110 mm or WAZ<-2 Z-score had the highest Youden Index. Our findings show that it is challenging to significantly improve diagnostic accuracy for identifying children with WHZ<-3 by only expanding the MUAC cut-off in under five Timorese children. However, In settings facing challenges in using WHZ, the combination of MUAC and WAZ indicators offers a promising approach. Further research is needed to confirm the effectiveness of the proposed combination of MUAC and WAZ indicators case definitions in a programmatic context in Timor-Leste, and other similar contexts.

Utility of mid-upper arm circumference in pediatric malnutrition: An Australasian Society of Parenteral and Enteral Nutrition consensus statement using the Delphi method

BACKGROUND

Mid-upper arm circumference (MUAC) is a simple anthropometric tool used to screen for childhood undernutrition in humanitarian settings or low-income and middle-income countries. However, there is conflicting evidence and a lack of consensus with regard to its diagnostic use in clinical settings or population groups beyond this context. In 2023, a project officer was appointed by the Australasian Society of Parenteral and Enteral Nutrition (AuSPEN) to lead the development of a consensus review into the use of MUAC in the pediatric clinical setting.

METHODS

An AuSPEN appointed multidisciplinary group of informed clinicians used the Delphi method to critically appraise the evidence and develop a series of consensus statements. Delphi surveys were anonymous and distributed electronically. Members were asked to rate their level of agreement with each consensus statement using a 5-point Likert scale. A priori definition of consensus was established as ≥80% responses "agree" or "strongly agree."

RESULTS

Three Delphi rounds were required to reach consensus. A total of 18 consensus statements, including rationale, were developed across the topics 'assessment and diagnosis', 'screening and monitoring' and 'clinical settings'.

CONCLUSION

An evidence-based, region-specific consensus approach to the use of MUAC in pediatric malnutrition is a valuable tool for clinicians. MUAC is a straightforward, non-invasive and cost-effective tool, and may provide an advantage over traditional anthropometric tools in some clinical settings. There are limitations to the utility of MUAC and this consensus paper provides an empirical summary of advantages and limitations as they apply to the screening, assessment, diagnosis, and monitoring of pediatric malnutrition.

Clinical and biochemical responses to treatment of uncomplicated severe acute malnutrition: a multicenter observational cohort from the OptiDiag study

BACKGROUND

Severe acute malnutrition (SAM) can be diagnosed using weight-for-height Z-score (WHZ) and/or mid-upper arm circumference (MUAC). Although some favor using MUAC alone, valuing its presumed ability to identify children at greatest need for nutritional care, the functional severity and physiological responses to treatment in children with varying deficits in WHZ and MUAC remain inadequately characterized.

OBJECTIVE

We aimed to compare clinical and biochemical responses to treatment in children with 1) both low MUAC and low WHZ, 2) low MUAC-only, and 3) low WHZ-only.

METHODS

A multicenter, observational cohort study was conducted in children aged 6-59 mo with nonedematous, uncomplicated SAM in Bangladesh, Burkina Faso, and Liberia. Anthropometric measurements and critical indicators were collected 3 times during treatment; metrics included clinical status, nutritional status, viability, and serum leptin, a biomarker of mortality risk in SAM.

RESULTS

Children with combined MUAC and WHZ deficits had greater increases in leptin levels during treatment than those with low MUAC alone, showing a 34.4% greater increase on the second visit (95% confidence interval [CI]: 7.6%, 43.6%; P = 0.02) and a 34.3% greater increase on the third visit (95% CI: 13.2%, 50.3%; P = 0.01). Similarly, weight gain velocity was higher by 1.56 g/kg/d in the combined deficit group (95% CI: 0.38, 2.75; P = 0.03) compared with children with low MUAC-only. Children with combined deficits had higher rates of iron deficiency and wasting while those with low WHZ alone and combined deficits had higher rates of tachypnea and pneumonia during treatment.

CONCLUSIONS

Given the comparable treatment responses of children with low WHZ alone and those with low MUAC alone, and the greater vulnerability at admission and during treatment in those with combined deficits, our findings support retaining WHZ as an independent diagnostic and admission criterion of SAM, alongside MUAC. This trial was registered at www.

CLINICALTRIALS

gov/study/NCT03400930 as NCT03400930.

Diagnostic Accuracy of Mid-Upper Arm Circumference for the Detection of Acute Malnutrition Among Children Aged 6-60 Months: A Diagnostic Accuracy Study

BACKGROUND

Timely and accurate screening of malnutrition at the community level is essential to identifying malnourished children. The World Health Organization (WHO) guidelines classify non-oedematous acute malnutrition among children using mid-upper arm circumference (MUAC) or weight-for-height Z-score (WHZ). Study Design: A cross-sectional study.

METHODS

This study was conducted among children aged 6‒60 months. After necessary exclusions, 433 participants were selected using a multi-stage simple random sampling method. Using WHO guidelines for global acute malnutrition (GAM) [WHZ<-2, MUAC<12.5 cm], the sensitivity (Se), specificity (Sp), predictive values, likelihood ratios, Youden index, and receiver operating characteristic (ROC) curve were calculated for MUAC using WHZ as the criterion.

RESULTS

Out of 433 participants, 30% were diagnosed with GAM using WHZ, while 17.6% were found malnourished using MUAC measurements. As per WHO cut-offs, the Se, Sp, positive predictive value (PPV), negative predictive value (NPV), Youden index, positive likelihood ratio (LR+), and negative likelihood ratio (LR-) of MUAC were 48%, 96%, 83%, 81%, 0.44, 12, and 0.54, respectively. The ROC curve displayed an area under the curve of 0.86 (95% confidence interval=0.83, 0.90) for MUAC<12.5 cm. Bivariate Pearson correlation also demonstrated a positive linear relationship (R2=0.302) between the WHZ and MUAC variables.

CONCLUSION

Based on the findings, 48% of the children were correctly identified by the MUAC with an 83% probability of GAM (PPV=0.83). Moreover, there was 96% Sp in non-malnourished children, with only 4% false positives. Therefore, personnel at the grassroots level can use MUAC for timely and accurate screening of children in Anganwadi centers (AWCs) due to its ease of use and simplicity.

Validity of "Mid-Upper Arm Circumference" as a Parameter to Identify Undernourished Children in Rural Gujarat

Introduction

Mid-upper arm circumference (MUAC) measures the arm muscle and fat area. The use of MUAC as a screening measure for assessing undernutrition has the following advantages; it makes use of a simple equipment, is easy to carry at the field sites, and requires minimal training. In India, "mid-upper arm circumference" is widely used and accepted in many nutritional programs.

Objectives

This study was conducted with the primary objective to compare different anthropometric parameters of children and to validate the usefulness and limitations of MUAC to screen out undernourished children.

Subject and Methods

Anthropometric measurements were recorded for all the anganwadi centers of the selected sub-center that comes under the field practice area of our department. The measurements like weight, height, MUAC were done according to the standard guidelines as per WHO, and further, calculations were done with the help of "Anthro software 3.2.2." Comparisons were done between categorization of MUAC tape and Weight-for-Height Z-scores (WHZ), and hence, the sensitivity and specificity of the MUAC tape to screen the malnourished child were found out.

Results

Sensitivity of MUAC to categorize a child in red/yellow was only 9.03%, negative predictive value (NPV) was 40.75%, specificity came 95.10%, and positive predictive value was 73.68% on taking WHZ as the gold standard.

Conclusion

MUAC has a limited role in screening out an undernourished child (red/yellow category), whereas it has a good role in screening healthy children (green category).

Exploring the host factors affecting asymptomatic Plasmodium falciparum infection: insights from a rural Burkina Faso study

BACKGROUND

Asymptomatic Plasmodium falciparum parasitaemia forms a reservoir for the transmission of malaria disease in West Africa. Certain haemoglobin variants are known to protect against severe malaria infection. However, data on the potential roles of haemoglobin variants and nongenetic factors in asymptomatic malaria infection is scarce and controversial. Therefore, this study investigated the associations of iron homeostasis, inflammation, nutrition, and haemoglobin mutations with parasitaemia in an asymptomatic cohort from a P. falciparum-endemic region during the high transmission season.

METHODS

A sub-study population of 688 asymptomatic individuals (predominantly children and adolescents under 15 years, n = 516) from rural Burkina Faso previously recruited by the NOVAC trial (NCT03176719) between June and October 2017 was analysed. Parasitaemia was quantified with conventional haemocytometry. The haemoglobin genotype was determined by reverse hybridization assays targeting a selection of 21 HBA and 22 HBB mutations. Demographics, inflammatory markers (interleukins 6 and 10, hepcidin), nutritional status (mid upper-arm circumference and body mass index), and anaemia (total haemoglobin, ferritin, soluble transferrin receptor) were assessed as potential predictors through logistic regression.

RESULTS

Malaria parasites were detected in 56% of subjects. Parasitaemia was associated most strongly with malnutrition. The effect size increased with malnutrition severity (OR = 6.26, CI95: 2.45-19.4, p < 0.001). Furthermore, statistically significant associations (p < 0.05) with age, cytokines, hepcidin and heterozygous haemoglobin S were observed.

CONCLUSIONS

According to these findings, asymptomatic parasitaemia is attenuated by haemoglobin S, but not by any of the other detected genotypes. Aside from evidence for slight iron imbalance, overall undernutrition was found to predict parasitaemia; thus, further investigations are required to elucidate causality and inform strategies for interventions.

Ready-to-Use Therapeutic Foods (RUTFs) Based on Local Recipes Are as Efficacious and Have a Higher Acceptability than a Standard Peanut-Based RUTF: A Randomized Controlled Trial in Indonesia

To strengthen community-based treatment of severe acute malnutrition (SAM) in Indonesia, locally produced ready-to-use therapeutic foods (RUTFs) are needed, but data on their acceptability and effectiveness are lacking. We conducted an individually randomized controlled trial in 302 children (6-59 months old) with uncomplicated SAM receiving 8 weeks of a standard RUTF (CON) or one of four alternative RUTFs produced with locally available ingredients: soybean (SOY), mungbean (MUN1, MUN2) or peanuts (PEA). The main outcomes were weight gain and product acceptability. Children consumed on average 2.2 kg of standard RUTF, but up to 4.5 kg of the local products (MUN2, p < 0.05). Mean weight gain did not differ across the groups (p > 0.05). Controlled for consumption, children receiving either CON or SOY RUTF gained >2 g/kg body weight (BW)/day compared with 1.6 g/kg BW/day in children receiving the other RUTF products (p > 0.05). Overall drop-out was 29.1%, ranging from 21.3% (MUN2) to 38.3% (CON, p > 0.05). Mean time to drop out was 19 days in the CON group, significantly shorter than in the PEA group (33.6 days, p < 0.05). Thus, with no difference in weight gain and better acceptance, the development of locally produced RUTFs in Indonesia is warranted to strengthen the community-based treatment of SAM.

Prognostic value of different anthropometric indices over different measurement intervals to predict mortality in 6-59-month-old children

OBJECTIVE

To compare the prognostic value of mid-upper arm circumference (MUAC), weight-for-height Z-score (WHZ) and weight-for-age Z-score (WAZ) for predicting death over periods of 1, 3 and 6 months follow-up in children.

DESIGN

Pooled analysis of twelve prospective studies examining survival after anthropometric assessment. Sensitivity and false-positive ratios to predict death within 1, 3 and 6 months were compared for three individual anthropometric indices and their combinations.

SETTING

Community-based, prospective studies from twelve countries in Africa and Asia.

PARTICIPANTS

Children aged 6-59 months living in the study areas.

RESULTS

For all anthropometric indices, the receiver operating characteristic curves were higher for shorter than for longer durations of follow-up. Sensitivity was higher for death with 1-month follow-up compared with 6 months by 49 % (95 % CI (30, 69)) for MUAC < 115 mm (P < 0·001), 48 % (95 % CI (9·4, 87)) for WHZ < -3 (P < 0·01) and 28 % (95 % CI (7·6, 42)) for WAZ < -3 (P < 0·005). This was accompanied by an increase in false positives of only 3 % or less. For all durations of follow-up, WAZ < -3 identified more children who died and were not identified by WHZ < -3 or by MUAC < 115 mm, 120 mm or 125 mm, but the use of WAZ < -3 led to an increased false-positive ratio up to 16·4 % (95 % CI (12·0, 20·9)) compared with 3·5 % (95 % CI (0·4, 6·5)) for MUAC < 115 mm alone.

CONCLUSIONS

Frequent anthropometric measurements significantly improve the identification of malnourished children with a high risk of death without markedly increasing false positives. Combining two indices increases sensitivity but also increases false positives among children meeting case definitions.

Sensitivity and specificity of mid-upper arm circumference for assessment of severe acute malnutrition among children ages 6 to 59 months: Systematic review and meta-analysis

OBJECTIVES

Sensitivity is the proportion of people classified as diseased (i.e., no false negatives). A test with low sensitivity can be thought of as being too cautious in finding a positive result.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines were followed for this systematic review and meta-analysis. The databases used were PubMed, Google Scholar, Jane, and African Journals Online. The search terms used were "sensitivity" and "specificity of and mid-upper arm circumference" (MUAC). A Joanna Briggs Institute meta-analysis and checklist for diagnostic test accuracy studies was used for the critical appraisal of the studies. The meta-analysis was conducted using STATA, version 14, software. The pooled sensitivity was computed to present the pooled sensitivity at a 95% confidence interval (CI).

RESULTS

A total of 11 individual studies were included in the meta-analysis. The lowest sensitivity of MUAC with the detection of severe acute malnutrition (SAM) was 5% in Vietnam, and the highest sensitivity was at 43.2% in India. The pooled sensitivity of MUAC among children aged <5 y to determine SAM was 20.7% (range, 13.24%-28.25%; P = 0.001). Based on the pooled specificity of MUAC, the detection of SAM was 97.636% (95% CI, 96.339%-98.932%; P = 0.001), and the pooled optimal cutoff point to diagnose SAM was 13.23 cm (95% CI, 12.692-13.763 cm; P = 0.001).

CONCLUSIONS

The sensitivity of MUAC is lower compared with the specificity to detect SAM, and varies from area to area.

Differences in wasting assessment through Middle-Upper Arm Circumference (MUAC) adjusted by sex, age and geographic origin for children aged 6-59 months: New reference based on anthropometric surveys from 22 low-and-middle-income countries

OBJECTIVES

The Middle Upper Arm Circumference (MUAC) bracelet is a widely used instrument in public health assessments and humanitarian assistance projects. The WHO guidelines present a universal cut-off point of 115 mm to determine whether a child has severe acute malnutrition. The objective of this study is to analyze the existing differences in the MUAC for boys and girls aged between 6 and 59 months, from 22 countries distributed in three different continents, in contrast to the use of this single cut-off point. In addition, the creation of MUAC growth charts is presented for reference use.

MATERIALS AND METHODS

This study was carried out with a database developed by Action Against Hunger, composed, after the data pre-processing phase, of 97 921 individuals without anthropometric failure from African, Asian, and American continents. MUAC measurements were compared between countries, dividing by sex and age groups. A k-means method was used to create country clusters to allow comparisons and the variability was resumed using a Principal Component Analysis. For each cluster, growth curves were created and smoothed using the LOESS method.

RESULTS

Our research has revealed the existence of differences in the MUAC between countries in both, males and females, although with different trends. The evidence was confirmed with the creation of two clusters using the k-means method, which, when graphically represented by the Principal Component Analysis, showed that the MUAC was clearly different. There were also differences between males and females within each cluster, where growth curves did not overlap in any age group.

CONCLUSIONS

All statistical analysis indicate that there are differences in the MUAC values for children without anthropometric failure between countries, but also between sexes. With this research, a new reference is proposed that consider the existing variability between human populations to improve the precision in the determination of severe acute malnutrition in children.

The significance of MUAC z-scores in diagnosing pediatric malnutrition: A scoping review with special emphasis on neurologically disabled children

This review by a panel of pediatric gastroenterology-hepatology-nutrition and pediatric neurology experts aimed to address the significance of mid-upper arm circumference (MUAC) assessment in diagnosis of pediatric malnutrition. Specifically, the potential utility of recently developed MUAC z-score tape in clinical practice for larger patient populations was addressed including the neurologically disabled children. In accordance with the evidence-based data, four statements were identified by the participating experts on the utility of MUAC z-score tape, including (1) MUAC z-scores correlate with body mass index (BMI) and weight for height/length (WFH/l) z-scores in diagnosing malnutrition; (2) MUAC z-score tape offers a higher sensitivity to diagnose the mild and moderate malnutrition and better ability to track the changes in nutritional status over time than the other single datapoint measurements; (3) Using single-step MUAC z-score tape in children with cerebral palsy (CP) seems to provide more reliable data on anthropometry; and (4) The clinical value of the tool in classifying secondary malnutrition in CP should be investigated in large-scale populations. In conclusion, enabling single-step estimation of nutritional status in a large-scale pediatric population regardless of age and within a wide range of weight, without formal training or the need for ancillary reference charts and calculators, MUAC z-tape offers a favorable tool for easier and earlier diagnosis of pediatric malnutrition. Nonetheless, further implementation of MUAC z-score screening in larger-scale and/or special populations is necessary to justify its utility in relation to other primary anthropometric indicators in diagnosis of malnutrition as well as in treatment monitoring in the community and hospital setting.

Factors associated with acute malnutrition among children aged 6-59 months in Haiti, Burkina Faso and Madagascar: A pooled analysis

BACKGROUND

Acute malnutrition is one of the main causes of morbidity and mortality among children under 5 years worldwide, and Action Contre la Faim (ACF) aims to address its causes and consequences. To better tailor humanitarian programs, ACF conducts standardized contextual studies called Link NCAs (Nutrition Causal Analysis), to identify factors associated with severe acute malnutrition (SAM) and moderate acute malnutrition (MAM). Data from three Link NCAs performed in 2018 and 2019 in Haiti, Burkina Faso and Madagascar were used to explore the prevalence of malnutrition by different indicators and associated risk factors among children aged 6-59 months.

METHODS

Cross-sectional data, collected via household surveys applying two-stage cluster sampling, were pooled to build a sample of 1,356 children. Recommended anthropometric thresholds were used to define SAM (Weight-for-Height Z-score (WHZ) <-3 or Mid-upper Arm Circumference (MUAC) <115 mm and/or presence oedema), MAM (-3≤WHZ<-2 or 115≤MUAC<125 mm) and global acute malnutrition GAM (SAM or MAM) among children. Multivariate analyses for each anthropometric indicator were performed using logistic mixed models and adjusting for potential confounders.

RESULTS

The prevalence of acute malnutrition was the highest in Madagascar. The risk of having GAM and MAM varied across countries, while the risk of having SAM varied across clusters. Being male, suffering from diarrhea, and having unwashed face and hands, were significantly associated with GAM by WHZ with adjusted odds ratio of 1.9 [95%Confidence interval (CI):1.1-3.2], 1.7 (95%CI: 1.0-3.1) and 1.9 (95%CI: 1.0-3.6) respectively. These factors were also associated with MAM by WHZ. None of the studied factors was significantly associated with SAM, which could be due to a small sample size.

CONCLUSION

These results obtained from a large sample contribute to the evidence of the factors associated with undernutrition in children aged 6-59 months. Further research with larger sample sizes is needed to confirm these results.

Accuracy of Mid-Upper Arm Circumference for Detecting Acute Malnutrition in Children Aged 6-59 Months in an Urban Slum in Bangladesh: A Cross-Sectional Analysis

Background The weight-for-height z-score (WHZ) is considered the gold standard for detecting acute malnutrition in children. However, an accurate assessment of WHZ can often be challenging, especially in community settings. Mid-upper arm circumference (MUAC) is a simple and easy-to-perform method to identify children with acute malnutrition. The objective of the study was to evaluate the accuracy of MUAC in detecting acute malnutrition compared to WHZ among children aged 6-59 months in Bangladesh. Methods We used anthropometric data for 239 children aged 6-59 months from a cross-sectional study conducted in 2013 in an urban slum in Dhaka, Bangladesh. The sensitivity and specificity of MUAC to detect acute malnutrition were calculated, considering WHZ as the gold standard. Results The mean age of the children was 29.4 ± 12.7 months, with a male-to-female ratio of 1:1.2. The prevalence of acute malnutrition was 17.1% and 22.5% based on WHZ and MUAC, respectively. The total area under the receiver operating characteristic curve was 0.816. For detecting acute malnutrition, the sensitivity of MUAC was 61.0% and the specificity was 85.4% for the World Health Organization (WHO) recommended cutoff of <125 mm. Using the Youden index, the best MUAC cutoff point to detect acute malnutrition was <128 mm with a sensitivity of 75.6% and a specificity of 74.7%. Conclusions Our study demonstrated a low sensitivity of MUAC to identify acute malnutrition at the WHO cutoff of <125 mm. The cutoff could be increased to <128 mm to capture more children with acute malnutrition.

Programmatic adaptations to acute malnutrition screening and treatment during the COVID-19 pandemic

The COVID-19 pandemic presented numerous challenges to acute malnutrition screening and treatment. To enable continued case identification and service delivery while minimising transmission risks, many organisations and governments implemented adaptations to community-based management of acute malnutrition (CMAM) programmes for children under 5. These included: Family mid-upper arm circumference (MUAC); modified admission and discharge criteria; modified dosage of therapeutic foods; and reduced frequency of follow-up visits. This paper presents qualitative findings from a larger mixed methods study to document practitioners' operational experiences and lessons learned from these adaptations. Findings reflect insights from 37 interviews representing 15 organisations in 17 countries, conducted between July 2020 and January 2021. Overall, interviewees indicated that adaptations were mostly well-accepted by staff, caregivers and communities. Family MUAC filled screening gaps linked to COVID-19 disruptions; however, challenges included long-term accuracy of caregiver measurements; implementing an intervention that could increase demand for inconsistent services; and limited guidance to monitor programme quality and impact. Modified admission and discharge criteria and modified dosage streamlined logistics and implementation with positive impacts on staff workload and caregiver understanding of the programme. Reduced frequency of visits enabled social distancing by minimising crowding at facilities and lessened caregivers' need to travel. Concerns remained about how adaptations impacted children's identification for and progress through treatment and programme outcomes. Most respondents anticipated reverting to standard protocols once transmission risks were mitigated. Further evidence, including multi-year programmatic data analysis and rigorous research, is needed in diverse contexts to understand adaptations' impacts, including how to ensure equity and mitigate unintended consequences.

Validating the diagnostic performance of MUAC in screening moderate acute malnutrition and developing an optimal cut-off for under five children of different regions in Ethiopia

Background

Valid and reliable anthropometric indicator is useful for early detection and treatment for under nutrition. Although, mid upper arm circumference (MUAC) is used for screening of children with moderate acute malnutrition in Ethiopia, its performance for the different ethnic groups has not been evaluated.

Objective

To determine the diagnostic performance of MUAC for determination of moderate wasting among children of different ethnic background and develop optimal cut-off.

Methods

A community based cross-sectional study was conducted among under five children of the three regions namely: Somalia, Amhara and Gambella Regions. The diagnostic performance of MUAC was validated using weight for height Z-score< -2 as a gold standard binary classifier. Test variable is mid upper arm circumference (MUAC< 12.5cm) and weight for height Z-Score (WHZ) is standard variable. ROC analysis performed based on the assumptions of MUAC value lower the cut-off point indicates the undernutrition. Area under the curve and validity measures (sensitivity and specificity) was generated as parameter estimated. The results were presented using tables and ROC curves.

Results

Except in the Gambella region, there was fair agreement between MUC<12.5cm and Weight for Height Z score<-2 in diagnosing wasting in Somali (Sensitivity = 29.3%, Kappa = 0.325, P<0.001) and in Gambella regions (Sensitivity = 16.7%, Kappa = 0.19, P<0.001). In Amhara region there was fair agreement between the two measures in diagnosing moderate acute malnutrition (MAM) (Sensitivity = 16%, Kappa = 0.216). For the Overall sample, the sensitivity of MUAC<12.5cm was 20.6% (Kappa = 0.245, P<0.001. Based on ROC analysis, the optimal cutoff value of MUAC for diagnosing moderate acute malnutrition for the two regions namely for Gambella and Amhara was 13.85cm with sensitivity of 0.99 and 1.00, respectively. However, for Somali Region the optimal cut was 13.75cm (Sensitivity = 0.98 cm and specificity = 0.71).

Conclusion

Findings revealed that the inter reliability of measurement for MUAC< 12.5cm and WHZ<-2 for diagnosing MAM was low among different ethnic groups with the cut-off varying in each region. The existing cutoff point is less sensitive for diagnosis of MAM. As Ethiopia is home of diverse ethnic groups with different body frame and environmental conditions, the new cut off points developed for each region recommended to be used for screening moderate acute malnutrition to prevent relapse of MAM and reduce chronic malnutrition.

How does baseline anthropometry affect anthropometric outcomes in children receiving treatment for severe acute malnutrition? A secondary analysis of a randomized controlled trial

Mid-upper arm circumference (MUAC) < 11.5 cm and weight-for-height Z-score (WHZ) < -3 are used for screening for severe acute malnutrition (SAM). Underweight and concurrent wasting and stunting may better target those at the highest risk of mortality. We compared anthropometric outcomes in children enrolled in a trial of antibiotics for SAM based on categories of baseline anthropometry, including indicators for programme admission (WHZ < -3, MUAC < 11.5) and alternative indicators (weight-for-age Z-score [WAZ] < -3, concurrent wasting and stunting [WHZ < -3 and height-for-age Z-score < -3]). Participants were followed weekly until nutritional recovery and at 8 weeks. We evaluated changes in weight gain (g/kg/day), MUAC, and WHZ in children admitted by admissions criteria (MUAC only, WHZ only, or MUAC and WHZ) and by underweight or concurrent wasting and stunting. Of 301 admitted children, 100 (33%) were admitted based on MUAC only, 41 (14%) WHZ only, and 160 (53%) both MUAC and WHZ, 210 (68%) were underweight and 67 (22%) were concurrently wasted/stunted. Low MUAC and low WHZ children had the lowest probability of nutritional recovery (17% vs. 50% for MUAC-only and 34% for WHZ-only). There was no difference in weight gain velocity or WHZ by admissions criteria (WHZ and/or MUAC). Underweight and concurrently wasted/stunted children had lower MUAC and WHZ at 8 weeks compared with those who were not underweight or concurrently wasted and stunted. Children with both low MUAC and low WHZ had the worst outcomes. Relying on MUAC alone may miss children who have poor outcomes. Other indicators, such as WAZ, may be useful for identifying vulnerable children.

Barriers to Management of Moderate Acute Malnutrition Among Children Aged 6 to 59 Months in Damot Pulassa, Wolaita, South Ethiopia: A Phenomenological Study of Mothers and Health Service Providers

BACKGROUND

Management of children with moderate acute malnutrition (MAM) needs to improve to reduce the transition from MAM to severe acute malnutrition (SAM).

OBJECTIVE

This study aimed to assess barriers to management of MAM among children aged 6 to 59 months in Damot Pulassa, Wolaita, South Ethiopia.

METHOD

This descriptive phenomenological design used 6 focus group discussions with mothers or caregivers of children aged 6 to 59 months and 10 in-depth interviews with health service providers. Data were analyzed using Colaizzi's descriptive phenomenological method.

RESULT

Six themes were identified: Possible reasons for MAM; identification of a child with MAM; management services of MAM; maternal-level barriers; service provider-level barrier; and suggestions to improve the service. Shortage of food and money, selling out of self-produced food without having sufficient reserves at home, large household size, shame on having children with malnutrition, occasional house-to-house screening for MAM, family-initiated screening, leaving the management responsibility of children with MAM to the family, no provision of supplementary food, and lack of repeated follow-up visits were the main obstacles for managing MAM.

CONCLUSION

Maternal-level barriers and service provider-level barriers affect the management of MAM negatively in Damot Pulassa, Wolaita. Children with MAM living in the area ineligible for food supplementation could deteriorate to SAM. The provision of nutrition counseling to the mothers of children with MAM without food supplementation placed children with MAM at increased risk of negative outcomes. Thus, the government should give more attention and facilitation in promoting supplementary food into the existing management of MAM.

Concurrent wasting and stunting among children 6-59 months: an analysis using district-level survey data in Mozambique

Background

In the past it was believed that wasting and stunting were independent of each other. Recent work has shown that they can occur concurrently in a child and that increases considerably the risk of mortality. Concurrent wasting and stunting (WaSt) is currently defined as WHZ < -2 AND HAZ < -2. Wasting is measured by WHZ and MUAC and evidence shows that they tend to identify different sets of children. Our study aimed to look at the effect of adding MUAC on the prevalence and burden of WaSt, and to assess diagnosis of WaSt with a single measurement.

Methods

We analyzed population-based anthropometric surveys from 37 districts in Mozambique conducted by the Government of Mozambique between 2017 and 2019. We proposed a new case-definition for WaSt that includes MUAC in acknowledgement of the different children with wasting diagnosed by WHZ and MUAC. We estimated how many WaSt cases are eligible to be included in the existing treatment program in Mozambique by calculating the True Positive and False Positive Values of WaSt using our proposed case-definition against the wasting admission criteria. AUC of ROC curves used for MUAC and WAZ and optimal cut-offs were determined using Youden’s Index.

Results

Including MUAC in the concurrent WaSt case-definition identified more children with WaSt compared to the original case-definition and more younger children and girls were identified. Using both MUAC and WHZ and enrolling severe and moderate wasting is already picking up most of the WaSt cases: 100% in health facilities and 79.40% with MUAC mass screenings at community level. Cut-off values from the ROC curve for the proposed case-definition were MUAC ≤133 mm and WAZ ≤ 2.145 Z-scores, however, they  yielded many false positive values.

Conclusion

WaSt case-definition should include MUAC. WaSt should commence to be reported in surveys and Mozambique should also start monitoring and treating children with WaSt. A cost-effective approach to identify all children with WaSt without adding too many false positive is needed, as well as understanding how to achieve optimal treatment outcomes within existing programs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40795-022-00508-9.

Accuracy of Using Mid-Upper Arm Circumference to Detect Wasting Among Children Aged 6–59 Months in Nepal

When comparing the sensitivity and specificity of mid-upper arm circumference (MUAC) versus weight-for-height z-scores (WHZ) to identify wasting in children aged 6–59 months in Nepal, our findings suggest that only using MUAC compared to WHZ to screen may exclude a large number of children who could be at risk of severe or moderate acute malnutrition.

Background:

In countries with a high prevalence of undernutrition, timely, accurate screening at the community level is essential to identify children with wasting. The World Health Organization recommends using either weight-for-height z-scores (WHZ) and mid-upper arm circumference (MUAC) or both measures and signs of edema to be used to identify children with severe acute malnutrition for treatment. We compared WHZ and MUAC cutoffs to identify wasting among children aged 6–59 months in Nepal, using WHZ as the reference standard.

Methods:

We used cross-sectional anthropometric data for 3,169 children aged 6–59 months from a 2017 cross-sectional dataset, representative of 42 of Nepal's 77 districts. We used descriptive statistics, receiver operating characteristic (ROC) curves, and kappa statistics to compare the use of MUAC and WHZ to identify wasting. The Youden index was calculated to determine the optimum MUAC cutoffs.

Results:

The prevalence of wasting was 3.1% and 10.5% using MUAC and WHZ, respectively. We found 13.6% sensitivity for severe acute malnutrition (SAM) (MUAC <115 mm) and 21.0% sensitivity for moderate acute malnutrition (MAM) (MUAC ≥115 to <125 mm), with specificity of 99.7% and 91.2%, respectively. The sensitivity of MUAC for children aged 6–23 months was higher than for children aged 24–59 months. The total area of the ROC curve was 0.53 for the MUAC cutoff for SAM and 0.56 for MAM. The optimum MUAC cutoffs for SAM and MAM were 125 mm and 132 mm, respectively.

Conclusions:

Although MUAC can be used as a rapid screening tool to detect wasting in children aged 6–59 months, using the recommended MUAC cutoffs captures only a small proportion of the total number of wasted children. The poor sensitivity and specificity of MUAC compared to WHZ suggests a need to refine admission and discharge criteria for acute malnutrition management programs to ensure that wasting among infants and children in Nepal is consistently and accurately diagnosed and treated.

Mid-Upper Arm Circumference Assessment and Comparison With Weight for Length Z-Score in Infants ≤6 Months as an Indicator of Severe Acute Malnutrition

Objective

To assess the frequency of severe acute malnutrition (SAM) and to determine the validity of mid-upper arm circumference (MUAC) as compared to weight for length z-score (WLZ-score) as an indicator of the nutritional status in this age group.

Methods

A cross-sectional study, with a purposive sampling was conducted from March 2018 to November 2018 to enroll 540 infants ≤6 months of age from three different sites in Karachi, Pakistan. The anthropometric measurements (MUAC, length and weight) were taken by experienced community health workers. The data were analyzed using SPSS. MUAC was compared with WLZ-score for sensitivity and specificity to observe the concordant among the two diagnostic measures. The Youden Index was used to determine the ideal cut-off for infants less than 6 months of age in this population and the Kappa coefficient was also calculated to assess the agreement between MUAC and WLZ-score.

Results

The study findings revealed that SAM was found in 13.6% (n=74) of the children. MUAC cut-off ≤11.5 cm yielded the Youden Index of 0.31 with 59.5% sensitivity and 71.4% specificity. The total area under receiver operating characteristic curve was 0.70 (95% CI: 0.63, 0.77; P < 0.001). The degree of agreement between mid-upper arm circumference and weight for length z-score to diagnose SAM ranged from 0.2 to 0.3.

Conclusion

The Youden index implied that a MUAC cut-off of ≤11.5 cm can be used as an indicator with acceptable validity for diagnosing SAM in children ≤6 months of age in a low middle income developing country like Pakistan.

Predictors of recovery in children aged 6-59 months with uncomplicated severe acute malnutrition: a multicentre study

OBJECTIVE

To identify predictors of recovery in children with uncomplicated severe acute malnutrition (SAM).

DESIGN

This is a secondary data analysis from an individual randomised controlled trial, where children with uncomplicated SAM were randomised to three feeding regimens, namely ready-to-use therapeutic food (RUTF) sourced from Compact India, locally prepared RUTF or augmented home-prepared foods, under two age strata (6-17 months and 18-59 months) for 16 weeks or until recovery. Three sets of predictors that could influence recovery, namely child, family and nutritional predictors, were analysed.

SETTING

Rural and urban slum areas of three states of India, namely Rajasthan, Delhi and Tamil Nadu.

PARTICIPANTS

In total, 906 children (age: 6-59 months) were analysed to estimate the adjusted hazard ratio (AHR) using the Cox proportional hazard ratio model to identify various predictors.

RESULTS

Being a female child (AHR: 1·269 (1·016, 1·584)), better employment status of the child's father (AHR: 1·53 (1·197, 1·95)) and residence in a rental house (AHR: 1·485 (1·137, 1·94)) increased the chances of recovery. No hospitalisation (AHR: 1·778 (1·055, 2·997)), no fever, (AHR: 2·748 (2·161, 3·494)) and ≤ 2 episodes of diarrhoea (AHR: 1·579 (1·035, 2·412)) during the treatment phase; availability of community-based peer support to mothers for feeding (AHR: 1·61 (1·237, 2·097)) and a better weight-for-height Z-score (WHZ) at enrolment (AHR: 1·811 (1·297, 2·529)) predicted higher chances of recovery from SAM.

CONCLUSION

The probability of recovery increases in children with better WHZ and with the initiation of treatment for acute illnesses to avoid hospitalisation, availability of peer support and better employment status of the father.

A feasibility study using mid-upper arm circumference as the sole anthropometric criterion for admission and discharge in the outpatient treatment for severe acute malnutrition

BACKGROUND

The World Health Organization recommends the use of a weight-for-height Z-score (WHZ) and/or mid-upper arm circumference (MUAC) as anthropometric criteria for the admission and discharge of young children for the community-based management of severe acute malnutrition. However, using MUAC as a single anthropometric criterion for admission and discharge in therapeutic nutritional programs may offer operational advantages to simplify admission processes at therapeutic nutritional centers and improve program coverage.

METHODS

This pragmatic, non-randomized, intervention study compared a standard outpatient nutritional program (n = 824) for the treatment of uncomplicated severe acute malnutrition using WHZ < - 3 and/or MUAC< 115 mm and/or bipedal edema for admission and discharge to a program (n = 1019) using MUAC as the sole anthropometric criterion for admission (MUAC< 120 mm) and discharge (MUAC ≥125 mm at two consecutive visits) in the Tahoua Region of Niger.

RESULTS

Compared to the standard program, the MUAC-only program discharged more children as recovered (70.1% vs. 51.6%; aOR 2.31, 95%CI 1.79-2.98) and fewer children as non-respondent or defaulters, based on respective program definitions. The risk of non-response was high in both programs. Three months post-discharge, children who were discharged after recovery in the MUAC-only program had lower WHZ and MUAC measures. Sixty-three children ineligible for the MUAC-only program but eligible for a standard program (MUAC ≥120 mm and WHZ < -3) were followed for twelve weeks and the anthropometric status of 69.8% of these children did not deteriorate (i.e. MUAC ≥120 mm) despite not immediately receiving treatment in the MUAC-only program.

CONCLUSIONS

The results from this study share the first operational experience of using MUAC as sole anthropometric criterion for admission and discharge in Niger and overall support the consideration for MUAC-only programming: the MUAC-only model of care was associated with a higher recovery and a lower defaulter rate than the standard program with very few children found to be excluded from treatment with an admission criterion of MUAC < 120 mm. Further consideration of the appropriate MUAC-based discharge criterion as it relates to an increased risk of non-response and adverse post-discharge outcomes would be prudent.

Upper arm length along with mid-upper arm circumference to enhance wasting prevalence estimation and diagnosis: sensitivity and specificity in 6-59-months-old children

OBJECTIVE

To evaluate the added value of the use of upper arm length (UAL) along with mid-upper arm circumference (MUAC) to diagnose and estimate the prevalence of wasting in comparison to current WHO standard and other MUAC-based methods.

DESIGN

UAL and usual anthropometric measurements were collected during a national cross-sectional nutritional survey. Children were classified into three upper arm length groups (UALGs): UALG1, UALG2 and UALG3 according to the following UAL limits: ≤150, 151-180 and ≥181 mm, respectively. Receiver operating characteristic curves were used to determine the best MUAC cut-off for each group using weight-for-height Z-score (WHZ) as a reference standard. Wasting prevalence, sensitivity and specificity of all diagnostic methods were compared.

SETTING

This study was conducted in Mauritania.

PARTICIPANTS

National representative sample of children from 6 to 59 months old.

RESULTS

In total, 12 590 children were included in the study. Wasting prevalence was 16.1%, 5.0% and 12.5% when diagnosed by WHZ <-2, MUAC <125 mm and MUAC-UALG methods, respectively. Using the MUAC-UALG method increased the sensitivity for wasting diagnosis from 17.98% with MUAC <125 mm to 39.43% with MUAC-UALG. The specificity decreased from 97.49% with MUAC <125 mm to 92.71% with MUAC-UALG. With MUAC-height Z score and MUAC <138 mm, sensitivity was 26.04% and 69.76% and specificity were 97.40% and 75.64% respectively.

CONCLUSION

This alternative method using MUAC tape to measure UAL increases the wasting diagnosis accuracy and allows for a better estimation of wasting prevalence. This method could be used as a potential alternative method for quick surveys in emergency settings such as Corona virus disease 2019 context.

Comparison of Mid-Upper-Arm Circumference and Weight-For-Height Z-Score in Identifying Severe Acute Malnutrition among Children Aged 6-59 Months in South Gondar Zone, Ethiopia

Children with severe acute malnutrition (SAM) are identified for admission to outpatient therapeutic programs using mid-upper-arm circumference (MUAC) or weight for height (WHZ). However, MUAC and WHZ do not identify the same children, and such observed differences might have programmatic implications of missed nutrition therapy if only MUAC is used to identify children with SAM. The objective of the study was to assess any difference in prevalence and degree of agreement between MUAC and WHZ in identifying SAM affected children. A cross-sectional study was conducted in South Gondar Zone, Ethiopia, among 17 districts, with 3 districts and 10 health centers with their clustered health posts selected randomly. A total of 2,040 children were recruited, and data were collected using a parent questionnaire then entered into EpiData and analyzed using SPSS v 20. A total of 1,980 respondents (97.1%) were interviewed, all of whom were female and rural residents. Children's mean age in months was 23.2 (SD ± 9.7), and 54% were male children. The prevalence of SAM based on MUAC <11.5 cm was 11.2% (95% CI: 9.9–12.7) and 11.0% (95% CI: 9.7–12.5) based on WHZ <−3. The agreement between MUAC and WHZ was good (k = 0.729). The proportion of children with SAM identified using both MUAC and WHZ was 61.2%. The prevalence of SAM identified using both MUAC and WHZ was comparable. A substantial degree of agreement between MUAC and WHZ was observed to diagnose SAM. Therefore, MUAC can be used as an appropriate tool in identifying children with SAM for admission into the outpatient therapeutic program (OTP) in the study area.

A Model for Determining Predictors of the MUAC in Acute Malnutrition in Ghana

The issue of malnutrition is perhaps the most important public health determinant of global wellbeing. It is one of the main causes of improper mental and physical development as well as death of many children. The Mid Upper Arm Circumference (MUAC) rapid text setup is able to diagnose malnutrition due to the fact that the human arm contains subcutaneous fat and muscle mass. When proportional food intake increases or reduces, the corresponding increase or reduction in the subcutaneous fat and muscle mass leads to an increase or decrease in the MUAC. In this study, the researchers attempt to develop a model for determining the performance of MUAC in predicting Child malnutrition in Ghana. It focuses on the Joint Generalized Linear Model (Joint-GLM) instead of the traditional Generalized Linear Model (GLM). The analysis is based on primary data measured on children under six years, who were undergoing nutritional treatment at the Princess Marie Louise (PML) Children’s Hospital in the Ashiedu Keteke sub-metro area of Accra Metropolis. The study found that a precisely measured weight of a child, height, and albumen levels were positive determinants of the predicted MUAC value. The study also reveals that, of all the variables used in determining the MUAC outcome, the hemoglobin and total protein levels of a child would be the main causes of any variation between the exact nutritional status of a child and that suggested by the MUAC value. The final Joint-GLM suggests that, if there are occasions where the MUAC gave false results, it could be a result of an imbalance in the child’s hemoglobin and protein levels. If these two are within acceptable levels in a child, the MUAC is most likely to be consistent in predicting the child’s nutritional status accurately. This study therefore recommends the continued use of MUAC in diagnosis of child malnutrition but urges Ghana and countries in Sub-Saharan Africa to roll out an effective nutrition intervention plan targeting the poor and vulnerable suburbs so that the nutritional status of children under five years of age, who were the focus of the current study, may be improved.

Evaluation of the treatment guidelines, practices and outcomes of complicated severe acute malnutrition in children aged 0-59 months in sub-Saharan Africa: a study protocol for the SAMAC study

Introduction

in hospitals across Africa, the case fatality rates of severe acute malnutrition (SAM) have remained consistently high (over 20%), despite the existence of the WHO treatment guideline. This has been attributed to inconsistencies in the implementation of the WHO treatment guidelines in sub-Saharan African countries. In spite of this awareness, the SAM treatment guidelines adopted by various sub-Saharan African countries and hospitals are unknown. Knowledge of the exact treatment practices employed in the management of SAM in different hospitals in sub-Saharan Africa is not known. This study aims to investigate the admission criteria, in-patient treatment guidelines and practices and outcomes of complicated SAM in sub-Saharan African children aged 0-59 months.

Methods

this is an observational study which involves the extraction of admission, treatment and discharge data from the medical records of infants and children aged 0-59 months diagnosed and treated for complicated SAM in sub-Saharan Africa. This information is being used to develop a comprehensive database on the treatment of complicated SAM across sub-Saharan Africa. Information on the national and hospital guidelines for the treatment of complicated SAM is also collected.

Results

results of this study will serve as a useful resource on the true reflection of the treatment of complicated SAM across sub-Saharan Africa and will provide valuable information for optimising SAM treatment.

Conclusion

in order to advocate best practice and reduce SAM-related mortality in sub-Saharan Africa, the identification of the different diagnostic and treatment methods and respective outcomes across different hospitals and countries is imperative.

Severe acute malnutrition morphological patterns in children under five

Current methods for infant and child nutritional assessment rely on anthropometric measurements, whose implementation faces technical challenges in low- and middle-income countries. Anthropometry is also limited to linear measurements, ignoring important body shape information related to health. This work proposes the use of 2D geometric morphometric techniques applied to a sample of Senegalese participants aged 6–59 months with an optimal nutritional condition or with severe acute malnutrition to address morphometric variations due to nutritional status. Significant differences in shape and size body changes were described according to nutritional status, resulting age, sex and allometric effect crucial factors to establish nutritional morphological patterns. The constructed discriminant functions exhibited the best classification rates in the left arm. A landmark-based template registering body shape could be useful to both assess acute malnutrition and better understand the morphological patterns that nutritional status promotes in children during their first 5 years of growth and development.

Access to Improved Sanitation and Nutritional Status among Preschool Children in Nouna District, Burkina Faso

Access to improved sanitation and hygiene may improve child nutritional status by reducing exposure to enteric pathogens. We evaluated this relationship as part of the Community Health with Azithromycin Trial, a community-randomized trial of azithromycin versus placebo for the prevention of child mortality in rural Burkina Faso. Before the baseline study visit, a door-to-door household survey was conducted for all households in the study area. During the baseline study census, which occurred approximately 9 months after the household survey, a mid-upper arm circumference (MUAC) measurement was obtained from each child. We evaluated the relationship between household improved latrine use compared with unimproved latrines or open defecation and MUAC in children aged 6-59 months. Among 32,172 children with household survey data and MUAC measurements, 931 (2.9%) had an MUAC less than 12.5 cm and were classified as having moderate acute malnutrition (MAM). The odds of MAM were higher in children living in households with an unimproved latrine than those with an improved latrine (adjusted odds ratio: 1.60; 95% CI: 1.11-2.31). Children in households with unimproved latrines and households that practiced open defection had approximate 0.15 cm reduced MUAC compared with those in households with an improved latrine. There was a small, but statistically significant, association between improved latrine and nutritional status in preschool children as measured by MUAC.

Does weight-for-height and mid upper-arm circumference diagnose the same children as wasted? An analysis using survey data from 2017 to 2019 in Mozambique

Background

Three different diagnostic criteria are used to identify children aged 6 to 59 months with acute malnutrition: weight-for-height (WHZ), middle upper arm circumference (MUAC) and bilateral pitting oedema. Prevalence of malnutrition from surveys is among the most-used decision support data, however not all diagnostic criteria are used to calculate need, creating a mismatch between programme planning and implementation. With this paper, we investigate if such discrepancies are observed in Mozambique.

Methods

Population-based nutritional anthropometric surveys from 45 districts in Mozambique conducted by the Technical Secretariat for Food Security and Nutrition (SETSAN) and UNICEF between 2017 and 2019 were analysed. We used Cohen’s kappa coefficient to measure inter-rater agreement between WHZ and MUAC, Spearman’s rank-order coefficient to assess the correlation, binary logistic regression to investigate factors influencing WHZ and MUAC diagnostic classification. We compared acute malnutrition caseload estimates by WHZ, MUAC and oedema to caseloads from combined prevalence estimates.

Results

WHZ and MUAC rarely agree on their diagnostic classification (κ = 0.353, ρ < 0.001) and results did not vary by province. We found positive correlation between WHZ and MUAC (rho = 0.593, ρ < 0.0001). Binary logistic regression explained 3.1% of variation in WHZ and 12.3% in the MUAC model. Girls (AOR = 1.6, ρ < 0.0001), children < 24 months (AOR = 5.3, ρ < 0.0001) and stunted children (AOR = 3.5, ρ < 0.0001) influenced the MUAC classification. In the WHZ model, children < 24 months (AOR = 2.4, ρ < 0.0001) and stunted children (AOR = 1.7, ρ < 0.0001) influenced the classification, sex had no effect. Caseload calculations of global acute malnutrition by WHZ and/oedema-only and by MUAC and/oedema-only yielded less children than caseload calculations using the combined prevalence estimates. Similarly, caseload calculations for SAM by WHZ and/oedema-only and SAM by MUAC and/oedema-only yielded less children than the respective combined prevalence calculations.

Conclusions

Given the discrepancy in diagnostic classification between WHZ and MUAC in Mozambique, using either one alone for calculating burden underestimates the real number of children in need of treatment and negatively affects nutrition programme planning. We recommend that use of the combined prevalence estimates, based on the three diagnostic criteria of WHZ, MUAC and oedema, be officially adopted. Further analysis is needed to detail the programmatic impact of this change.

Factors associated with moderate wasting among marginalized 6 to 23-month aged children in Bangladesh: Findings of the Suchana program baseline survey data

Suchana-a large-scale, 7-year nutrition program that started in 2015-is being implemented in 250,000 households in the marginalized segment in north-east Bangladesh, with the aim of improving childhood nutrition status. Untreated childhood moderate wasting may develop to severe wasting, which is associated with a 10-fold higher risk of mortality compared to children of normal weight relative to height/length. Identifying the diverse, age-specific risk factors for moderate wasting may help such programs to formulate tailored interventions to prevent and treat childhood malnutrition in rural communities. The objective of this study was to identify the age-specific factors associated with moderate wasting among 6‒23-month-old children in beneficiary households. Cross-sectional data on 4,400 children was collected through systematic sampling between November 2016 and February 2017 using the Suchana beneficiary list. In total, 8.1% of 6‒11 month-olds and 10.3% of 12‒23 month-olds suffered moderate wasting; 12‒23-month-olds had a 1.3-fold higher risk of moderate wasting than 6‒11-month-olds. Our results of logistic regression models suggest that larger household size, higher maternal body mass index (BMI), and maternal food consumption status more than usual during the recent pregnancy were associated with a reduced risk of moderate wasting among 6‒11-month-olds. Higher maternal BMI, normal maternal food consumption status during last pregnancy, being female and maternal knowledge on diarrheal management, were associated with a reduced risk of moderate wasting among 12‒23-month-olds. In conclusion, beyond maternal BMI and maternal food consumption status during the last pregnancy, the factors associated with moderate wasting among 6‒23-month-olds in the poorest households in Bangladesh are age-specific.

Repeat assessment of examination signs among children in Malawi with fast-breathing pneumonia

Background

As part of a randomised controlled trial of treatment with placebo versus 3 days of amoxicillin for nonsevere fast-breathing pneumonia among Malawian children aged 2–59 months, a subset of children was hospitalised for observation. We sought to characterise the progression of fast-breathing pneumonia among children undergoing repeat assessments to better understand which children do and do not deteriorate.

Methods

Vital signs and physical examination findings, including respiratory rate, arterial oxygen saturation measured by pulse oximetry (S_pO2), chest indrawing and temperature were assessed every 3 h for the duration of hospitalisation. Children were assessed for treatment failure during study visits on days 1, 2, 3 and 4.

Results

Hospital monitoring data from 436 children were included. While no children had S_pO2 90–93% at baseline, 7.4% (16 of 215) of children receiving amoxicillin and 9.5% (21 of 221) receiving placebo developed S_pO2 90–93% during monitoring. Similarly, no children had chest indrawing at enrolment, but 6.6% (14 of 215) in the amoxicillin group and 7.2% (16 of 221) in the placebo group went on to develop chest indrawing during hospitalisation.

Conclusion

Repeat monitoring of children with fast-breathing pneumonia identified vital and physical examination signs not present at baseline, including S_pO2 90–93% and chest indrawing. This information may support providers and policymakers in developing guidance for care of children with nonsevere pneumonia.

This study characterised the progression of fast-breathing pneumonia among children in Malawi. Repeat monitoring of children identified vital and physical exam signs not present at baseline, including oxygen saturation of 90–93% and chest indrawing.http://bit.ly/2vUlckS

Do we need to reconsider the CMAM admission and discharge criteria?; an analysis of CMAM data in South Sudan

Background

Weight-for-height Z-score (WHZ) and Mid Upper Arm Circumference (MUAC) are both commonly used as acute malnutrition screening criteria. However, there exists disparity between the groups identified as malnourished by them. Thus, here we aim to investigate the clinical features and linkage with chronicity of the acute malnutrition cases identified by either WHZ or MUAC. Besides, there exists evidence indicating that fat restoration is disproportionately rapid compared to that of muscle gain in hospitalized malnourished children but related research at community level is lacking. In this study we suggest proxy measure to inspect body composition restoration responding to malnutrition management among the malnourished children.

Methods

The data of this study is from World Vision South Sudan’s emergency nutrition program from 2006 to 2012 (4443 children) and the nutrition survey conducted in 2014 (3367 children). The study investigated clinical presentations of each type of severe acute malnutrition (SAM) by WHZ (SAM-WHZ) or MUAC (SAM-MUAC), and analysed correlation between each malnutrition and chronic malnutrition. Furthermore, we explored the pattern of body composition restoration during the recovery phase by comparing the relative velocity of MUAC³ with that of weight gain.

Results

As acutely malnourished children identified by MUAC more often share clinical features related to chronic malnutrition and minimal overlapping with malnourished children by WHZ, Therefore, MUAC only screening in the nutrition program would result in delayed identification of the malnourished children.

Conclusions

The relative velocity of MUAC³ gain was suggested as a proxy measure for volume increase, and it was more prominent than that of weight gain among the children with SAM by WHZ and MUAC over all the restoring period. Based on this we made a conjecture about dominant fat mass gain over the period of CMAM program. Also, considering initial weight gain could be ascribed to fat mass increase, the current discharge criteria would leave the malnourished children at risk of mortality even after treatment due to limited restoration of muscle mass. Given this, further research should be followed including assessment of body composition for evidence to recapitulate and reconsider the current admission and discharge criteria for CMAM program.

Routinely MUAC screening for severe acute malnutrition should consider the gender and age group bias in the Ethiopian non-emergency context

Early identification of children <5 years with severe acute malnutrition (SAM) is a high priority to reduce child mortality and improved health outcomes. Current WHO guidelines for community screening for SAM recommend a Mid-Upper-Arm Circumference (MUAC) of less than 115 mm to identify children with SAM, but this cut-off does not identify a significant number of children with a weight-for-height Z-score <-3. To establish new specific MUAC cut-offs, pooled data was obtained for 25,755 children from 49 SMART recent surveys in Ethiopia (2016–2019). Sensitivity, proportion of false positive, and areas under receiver-operator characteristic curves (AUC) were calculated. MUAC below 115mm alone identified 55% of children with SAM identified with both methodologies. MUAC was worse in identifying older children (21%), those from a pastoral region (42%) and boys (41%). Using current WHO cut-offs, the sensitivity (Se) of MUAC below 115mm to identify the children severly malnourished screened through Weight-for-height below-3 was 16%. Analysing the ROC curve and Youden Index, Se and Specificity (Sp) were maximal at a MUAC < 133 mm cut-off to identify SAM (respectively Se 61.1%, Sp 81.4%). However, given the high proportion of false-positive children, according to gender, region and age groups, a cut-off around 125 mm to screen SAM could be the optimal one. In Ethiopia, implementation of a MUAC-only screening program for the identification of severe acute malnutrition with the actual cut-off of 115 mm would be unethical as it will lead to many children remaining undiagnosed and untreated. In addition, future study on implementation challenge on screening children with a higher cut-off or gender/age sensitive ones should be assessed with the collection of mortality and morbidity data to ensure that the most in need are being taking care of.

The optimal mid-upper-arm circumference cutoffs to screen severe acute malnutrition in Vietnamese children

Severe acute malnutrition (SAM) remains a main cause of mortality among children under five years old. Vietnam needs further study to establish the optimal mid-upper-arm circumference (MUAC) cutoff for improving the accuracy of the MUAC indicator in screening SAM children aged 6-59 months. A survey was conducted at all 16 subdistricts across four provinces in Northern Midlands and mountainous areas. The data of 4,764 children showed that an optimal MUAC cutoff of 13.5 cm would allow the inclusion of 65% of children with weight-for-height z-scores (WHZs) below -3SD. A combination of MUAC and WHZ may achieve a higher impact on therapeutic feeding programs for SAM children. The MUAC cutoff of 13.5 cm (65% sensitivity and 72% specificity) should be used as the cutoff for improving and/or preventing SAM status among children under 5 in the Midlands and mountainous areas in Vietnam.

Comparison of anthropometric indicators to predict mortality in a population-based prospective study of children under 5 years in Niger

OBJECTIVE

In the present study, we aimed to compare anthropometric indicators as predictors of mortality in a community-based setting.

DESIGN

We conducted a population-based longitudinal study nested in a cluster-randomized trial. We assessed weight, height and mid-upper arm circumference (MUAC) on children 12 months after the trial began and used the trial's annual census and monitoring visits to assess mortality over 2 years.

SETTING

Niger.

PARTICIPANTS

Children aged 6-60 months during the study.

RESULTS

Of 1023 children included in the study at baseline, height-for-age Z-score, weight-for-age Z-score, weight-for-height Z-score and MUAC classified 777 (76·0 %), 630 (61·6 %), 131 (12·9 %) and eighty (7·8 %) children as moderately to severely malnourished, respectively. Over the 2-year study period, fifty-eight children (5·7 %) died. MUAC had the greatest AUC (0·68, 95 % CI 0·61, 0·75) and had the strongest association with mortality in this sample (hazard ratio = 2·21, 95 % CI 1·26, 3·89, P = 0·006).

CONCLUSIONS

MUAC appears to be a better predictor of mortality than other anthropometric indicators in this community-based, high-malnutrition setting in Niger.

Severe acute malnutrition and mortality in children in the community: Comparison of indicators in a multi-country pooled analysis

OBJECTIVES

This study aims to describe the mortality risk of children in the community who had severe acute malnutrition (SAM) defined by either a mid-upper arm circumference (MUAC) <115mm, a low weight-for-height Z-score (WHZ) <-3 or both criteria.

METHODS

We pooled individual-level data from children aged 6-59 months enrolled in 3 community-based studies in the Democratic Republic of the Congo (DRC), Senegal and Nepal. We estimate the mortality hazard using Cox proportional hazard models in groups defined by either anthropometric indicator.

RESULTS

In total, we had 49,001 time points provided by 15,060 children available for analysis, summing to a total of 143,512 person-months. We found an increasing death rate with a deteriorating nutritional status for all anthropometrical indicators. Children identified as SAM only by a low MUAC (<115mm) and those identified only by a low WHZ (Z-score <-3) had a similar mortality hazard which was about 4 times higher than those without an anthropometric deficit. Having both a low MUAC and a low WHZ was associated with an 8 times higher hazard of dying compared to children within the normal range. The 2 indicators identified a different set of children; the proportion of children identified by both indicators independently ranged from 7% in the DRC cohort, to 35% and 37% in the Senegal and the Nepal cohort respectively.

CONCLUSION

In the light of an increasing popularity of using MUAC as the sole indicator to identify SAM children, we show that children who have a low WHZ, but a MUAC above the cut-off would be omitted from diagnosis and treatment despite having a similar risk of death.

Examining Mid-Upper Arm Circumference Malnutrition z-Score Thresholds

BACKGROUND

Anthropometric z-scores used commonly for diagnosis and determining degree of malnutrition, specifically body mass index (BMIz), weight-for-length (WLz), and mid-upper arm circumference (MUACz), are not wholly concordant, yet the proposed thresholds for classification are identical. This study was designed to critically examine MUACz thresholds and their ability to correctly classify nutrition status.

METHODS

This was a 2-year, prospective single-center study of children ≤18 years seen by registered dietitians within a large pediatric institution. The sensitivity, specificity, and predictive performance of the malnutrition classification thresholds were estimated against clinician-based classification.

RESULTS

Sixty-one dietitians enrolled 10,401 patients with distributions of z-scores for weight (-0.5 ± 1.9), length (-0.8 ± 1.6), BMI or WL (-0.1 ± 1.8), and MUAC (-0.4 ± 1.5), suggesting participants were smaller and shorter than the reference U.S.

POPULATION

Distributions of MUACz were broad and overlapped between nutrition classification groups, an observation that extended to BMIz and WLz as well. Consequently, existing thresholds do not accurately classify 100% of children. Misclassification rates increase, with increasing severity ranging from 8% in children with no malnutrition to 71% in children with severe malnutrition. Algorithm- and manually-based refinement of thresholds result in mixed improvements and can be explored by the reader with the associated supplement.

CONCLUSION

The sensitivity of proposed MUACz thresholds systematically decreases with increasing severity of malnutrition and will require optimization if we aim to limit the number of children at risk of misclassification. Indicators for overnutrition remain to be addressed but are explored herein.

Performance of mid-upper arm circumference to diagnose acute malnutrition in a cross-sectional community-based sample of children aged 6-24 months in Niger

BACKGROUND/OBJECTIVES

Accurate, early identification of acutely malnourished children has the potential to reduce related child morbidity and mortality. The current World Health Organisation (WHO) guidelines classify non-oedematous acute malnutrition among children under five using Mid-Upper Arm Circumference (MUAC) or Weight-for-Height Z-score (WHZ). However, there is ongoing debate regarding the use of current MUAC cut-offs. This study investigates the diagnostic performance of MUAC to identify children aged 6–24 months with global (GAM) or severe acute malnutrition (SAM).

SUBJECTS/METHODS

Cross-sectional, secondary data from a community sample of children aged 6-24 months in Niger were used for this study. Children with complete weight, height and MUAC data and without clinical oedema were included. Using WHO guidelines for GAM (WHZ < −2, MUAC < 12.5 cm) and SAM (WHZ < −3, MUAC < 11.5 cm), the sensitivity (Se), specificity (Sp), predictive values, Youden Index and Receiver Operating Characteristic (ROC) curves were calculated for MUAC when compared with the WHZ reference criterion.

RESULTS

Of 1161 children, 23.3% were diagnosed with GAM using WHZ, and 4.4% with SAM. Using current WHO cut-offs, the Se of MUAC to identify GAM was greater than for SAM (79 vs. 57%), yet the Sp was lower (84 vs. 97%). From inspection of the ROC curve and Youden Index, Se and Sp were maximised for MUAC < 12.5 cm to identify GAM (Se 79%, Sp 84%), and MUAC < 12.0 cm to identify SAM (Se 88%, Sp 81%).

CONCLUSIONS

The current MUAC cut-off to identify GAM should continue to be used, but when screening for SAM, a higher cut-off could improve case identification. Community screening for SAM could use MUAC < 12.0 cm followed by appropriate treatment based on either MUAC < 11.5 cm or WHZ < −3, as in current practice. While the practicalities of implementation must be considered, the higher SAM MUAC cut-off would maximise early case-finding of high-risk acutely malnourished children.

Comparison of Weight-for-Height Z-score and Mid-Upper Arm Circumference to Diagnose Moderate and Severe Acute Malnutrition in children aged 6-59 months

OBJECTIVE

To compare weight for height (WHZ) and mid upper arm circumference (MUAC) to diagnose malnutrition in children aged 6-59 months and to determine the association of various risk factors with the nutritional status of the children.

METHODS

Descriptive study conducted at the Department of Paediatric Medicine of The Children's Hospital Lahore from May 2017 to April 2018. A total of 257 children 6 to 59 months of age having MUAC of <125mm were included. WHZ scoring was done and compared with MUAC.

RESULTS

There was slight male predominance 135 (52.5%). Mean age of children was 13.43 + 8.81 months (95% CI: 12.34-14.51). Mean MUAC was 103±13.5 mm (95%CI: 101-105mm). Exclusive breast feeding was present in 82 (32%). Maternal illiteracy was common in SAM (p = was 0.001). More children (73.2%) were identified as SAM by MUAC of <115 mm as compared to WHZ of <-3SD (70%). The ROC curve analysis for MUAC (cut-off value:103, 95%CI; AUC: 101-107 mm) showed it as an excellent predictor (p=<0.001) for children having SAM and WHZ <-3SD, with (AUC= 0.786 [95%CI; 0.725-0.848]).

CONCLUSION

Both MUAC and WHZ showed fair degree of agreement to diagnose moderate and severe acute malnutrition among children aged 6-59 months. At the community level of resource limited countries, MUAC can be used as an appropriate rapid diagnostic method to identify malnourished children to be managed in nutritional rehabilitation programs.

Maternal employment and child health in Nepal: The importance of job type and timing across the child's first five years

The increase in female labor force participation (FLFP) in the paid labor market since the mid-1900s is one of the most pronounced family transitions and increasingly a global phenomenon. While this may improve income and bargaining power of the women, it may also increase stress and decrease time with children. Using the Chitwan Valley Family Study in Nepal, we explore the consequences of this transition for children's health by combining newly collected data on child health outcomes, quarterly data on women's employment, and data on households and neighborhoods. Regression models were used to estimate the relationship between FLFP and child health, exploring both the type (wage, salary, or own business) and timing of work across the child's first five years for 860 children born to 793 mothers. After adjusting for a robust set of individual, household, and community factors, FLFP is associated with worse child health. We find evidence this is largely due to wage labor, the more common but "lower quality" and lower paying type of work women do. Measures of current work are generally inadequate at capturing this negative relationship. Breastfeeding may be an important piece of this story as mothers that worked during the first six months of a child's life were less likely to exclusively breastfeed during this period. Recognizing the challenges faced by working mothers in LMICs and paying attention to the quality of work will be critical as more women enter the workforce.

Severely malnourished children with a low weight-for-height have similar mortality to those with a low mid-upper-arm-circumference: II. Systematic literature review and meta-analysis

BACKGROUND

The WHO recommended criteria for diagnosis of sever acute malnutrition (SAM) are weight-for-height/length Z-score (WHZ) of <- 3Z of the WHO₂₀₀₆ standards, a mid-upper-arm circumference (MUAC) of < 115 mm, nutritional oedema or any combination of these parameters. A move to eliminate WHZ as a diagnostic criterion has been made on the assertion that children with a low WHZ are healthy, that MUAC is a "superior" prognostic indicator of mortality and that adding WHZ to the assessment does not improve the prediction of death. Our objective was to examine the literature comparing the risk of death of SAM children admitted by WHZ or MUAC criteria.

METHODS

We conducted a systematic search for reports which examined the relationship of WHZ and MUAC to mortality for children less than 60 months. The WHZ, MUAC, outcome and programmatic variables were abstracted from the reports and examined. Individual study's case fatality rates were compared by chi-squared analysis and random effects meta-analyses for combined data.

RESULTS

Twenty-one datasets were reviewed. All the patient studies had an ascertainment bias. Most were inadequate because they had insufficient deaths, used obsolete standards, combined oedematous and non-oedematous subjects, did not report the proportion of children with both deficits or the deaths occurred remotely after anthropometry. The meta-analyses showed that the mortality risks for children who have SAM by MUAC < 115 mm only and those with SAM by WHZ < -3Z only are not different.

CONCLUSIONS

As the diagnostic criteria identify different children, this analysis does not support the abandonment of WHZ as an important independent diagnostic criterion for the diagnosis of SAM. Failure to identify such children will result in their being denied treatment and unnecessary deaths from SAM.

Severely malnourished children with a low weight-for-height have a higher mortality than those with a low mid-upper-arm-circumference: I. Empirical data demonstrates Simpson's paradox

BACKGROUND

According to WHO childhood severe acute malnutrition (SAM) is diagnosed when the weight-for-height Z-score (WHZ) is <-3Z of the WHO2006 standards, the mid-upper-arm circumference (MUAC) is < 115 mm, there is nutritional oedema or any combination of these parameters. Recently there has been a move to eliminate WHZ as a diagnostic criterion on the assertion that children meeting the WHZ criterion are healthy, that MUAC is universally a superior prognostic indicator of mortality and that adding WHZ to the assessment does not improve the prediction; these assertions have lead to a controversy concerning the role of WHZ in the diagnosis of SAM.

METHODS

We examined the mortality experience of 76,887 6-60 month old severely malnourished children admitted for treatment to in-patient, out-patient or supplementary feeding facilities in 18 African countries, of whom 3588 died. They were divided into 7 different diagnostic categories for analysis of mortality rates by comparison of case fatality rates, relative risk of death and meta-analysis of the difference between children admitted using MUAC and WHZ criteria.

RESULTS

The mortality rate was higher in those children fulfilling the WHO2006 WHZ criterion than the MUAC criterion. This was the case for younger as well as older children and in all regions except for marasmic children in East Africa. Those fulfilling both criteria had a higher mortality. Nutritional oedema increased the risk of death. Having oedema and a low WHZ dramatically increased the mortality rate whereas addition of the MUAC criterion to either oedema-alone or oedema plus a low WHZ did not further increase the mortality rate. The data were subject to extreme confounding giving Simpson's paradox, which reversed the apparent mortality rates when children fulfilling both WHZ and MUAC criteria were included in the estimation of the risk of death of those fulfilling either the WHZ or MUAC criteria alone.

CONCLUSIONS

Children with a low WHZ, but a MUAC above the SAM cut-off point are at high risk of death. Simpson's paradox due to confounding from oedema and mathematical coupling may make previous statistical analyses which failed to distinguish the diagnostic groups an unreliable guide to policy. WHZ needs to be retained as an independent criterion for diagnosis of SAM and methods found to identify those children with a low WHZ, but not a low MUAC, in the community.

Effectiveness of a Locally Produced, Fish-Based Food Product on Weight Gain among Cambodian Children in the Treatment of Acute Malnutrition: A Randomized Controlled Trial

Cambodia continues to have a high prevalence of acute malnutrition. Low acceptability has been found for standard ready-to-use-therapeutic-food (RUTF) products. Therefore, NumTrey, a locally-produced fish-based RUTF, was developed. The objective was to evaluate the effectiveness of NumTrey compared to an imported milk-based RUTF for weight gain among children aged 6⁻59 months in the home-treatment for acute malnutrition. Effectiveness was tested in a single-blinded randomized controlled trial with weight gain as the primary outcome. Anthropometry was assessed at baseline and bi-weekly follow-ups until endline at Week 8. In total, 121 patients were randomized into BP-100TM (n = 61) or NumTrey (n = 60). There was no statistical difference in mean weight gain between the groups (1.06 g/kg/day; 95% CI (0.72, 1.41) and 1.08 g/kg/day; 95% CI (0.75, 1.41) for BP-100™ and NumTrey, respectively). In addition, no statistically significant differences in secondary outcomes were found. Although the ability to draw conclusions was limited by lower weight gain than the desired 4 g/kg/day in both groups, no superiority was found for eitherRUTF. A locally produced RUTF is highly relevant to improve nutrition interventions in Cambodia. A locally produced fish-based RUTF is a relevant alternative to imported milk-based RUTF for the treatment of SAM in Cambodia.

Identification of Acute Malnutrition in Children in Cambodia Requires Both Mid Upper Arm Circumference and Weight-For-Height to Offset Gender Bias of Each Indicator

Malnutrition remains a serious health problem in Cambodia with over 10% of children less than five years of age suffering from acute malnutrition. In addition to the presence of nutritional edema, two indicators are recommended by the World Health Organization for the diagnosis of acute malnutrition: weight-for-height Z-scores (WHZ; with acute malnutrition defined as WHZ < &minus;2 Z-score) and mid-upper arm circumference (MUAC, with acute malnutrition defined as MUAC < 12.5 cm). Earlier, we showed that WHZ and MUAC identified different subgroups of children with acute malnutrition. To explore factors associated with both indicators of acute malnutrition, we analyzed baseline data from a longitudinal study in three provinces in Cambodia: Phnom Penh (capital, urban environment), Kratie (rural province), and Ratanakiri (hilly, rural province). Data was available for 4381 children below 30 months of age. Malnutrition rates were higher in the two rural provinces than in the capital. Although both MUAC and WHZ showed gender bias, with MUAC identifying more girls, and WHZ identifying more boys with acute malnutrition, the gender effect was strongest for MUAC. The gender bias of MUAC diminished with older age, but remained significant up to 30 months of age. Only using both MUAC and WHZ as indicators resulted in gender neutral identification of acute malnutrition. WHZ alone always identified more children with acute malnutrition than MUAC alone. In Phnom Penh, MUAC alone identified only 11% with acute malnutrition in addition to WHZ. To conclude, both MUAC and WHZ showed gender bias in this cohort of Cambodian children. In Cambodia, implementation of a MUAC-only or a WHZ-only program for the identification of acute malnutrition would be unethical as it will lead to many children remaining undiagnosed.

Mid upper arm circumference as a predictor of risk of mortality in children in a low resource setting in India

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.

Mid-upper arm circumference in detection of weight-for-height Z-score below -3 in children aged 6-59 months

OBJECTIVE

To evaluate the predictive ability of mid-upper arm circumference (MUAC) for detecting severe wasting (weight-for-height Z-score (WHZ) <-3) among children aged 6-59 months.

DESIGN

Cross-sectional survey.

SETTING

Rural Uttar Pradesh, India.

SUBJECTS

Children (n 18 456) for whom both WHZ (n 18 463) and MUAC were available.

RESULTS

The diagnostic test accuracy of MUAC for severe wasting was excellent (area under receiver-operating characteristic curve = 0·933). Across the lower range of MUAC cut-offs (110-120 mm), specificity was excellent (99·1-99·9 %) but sensitivity was poor (13·4-37·2 %); with higher cut-offs (140-150 mm), sensitivity increased substantially (94·9-98·8 %) but at the expense of specificity (37·6-71·9 %). The optimal MUAC cut-off to detect severe wasting was 135 mm. Although the prevalence of severe wasting was constant at 2·2 %, the burden of severe acute malnutrition, defined as either severe wasting or low MUAC, increased from 2·46 to 17·26 % with cut-offs of <115 and <135 mm, respectively. An MUAC cut-off <115 mm preferentially selected children aged ≤12 months (OR=11·8; 95 % CI 8·4, 16·6) or ≤24 months (OR=23·4; 95 % CI 12·7, 43·4) and girls (OR=2·2; 95 % CI 1·6, 3·2).

CONCLUSIONS

Based on important considerations for screening and case detection in the community, modification of the current WHO definition of severe acute malnutrition may not be warranted, especially in the Indian context.

Annual Crop-Yield Variation, Child Survival, and Nutrition Among Subsistence Farmers in Burkina Faso

Whether year-to-year variation in crop yields affects the nutrition, health, and survival of subsistence-farming populations is relevant to the understanding of the potential impacts of climate change. However, the empirical evidence is limited. We examined the associations of child survival with interannual variation in food crop yield and middle-upper arm circumference (MUAC) in a subsistence-farming population of rural Burkina Faso. The study was of 44,616 children aged <5 years included in the Nouna Health and Demographic Surveillance System, 1992-2012, whose survival was analyzed in relation to the food crop yield in the year of birth (which ranged from 65% to 120% of the period average) and, for a subset of 16,698 children, to MUAC, using shared-frailty Cox proportional hazards models. Survival was appreciably worse in children born in years with low yield (full-adjustment hazard ratio = 1.11 (95% confidence interval: 1.02, 1.20) for a 90th- to 10th-centile decrease in annual crop yield) and in children with small MUAC (hazard ratio = 2.72 (95% confidence interval: 2.15, 3.44) for a 90th- to 10th-centile decrease in MUAC). These results suggest an adverse impact of variations in crop yields, which could increase under climate change.

Choosing Anthropometric Indicators to Monitor the Response to Treatment for Severe Acute Malnutrition in Rural Southern Ethiopia-Empirical Evidence

The World Health Organization (WHO) recommends the assessment of nutritional recovery using the same anthropometric indicator that was used to diagnose severe acute malnutrition (SAM) in children. However, related empirical evidence from low-income countries is lacking. Non-oedematous children (n = 661) aged 6-59 months admitted to a community-based outpatient therapeutic program for SAM in rural southern Ethiopia were studied. The response to treatment in children admitted to the program based on the mid-upper arm circumference (MUAC) measurement was defined by calculating the gains in average MUAC and weight during the first four weeks of treatment. The children showed significant anthropometric changes only when assessed with the same anthropometric indicator used to define SAM at admission. Children with the lowest MUAC at admission showed a significant gain in MUAC but not weight, and children with the lowest weight-for-height/length (WHZ) showed a significant gain in weight but not MUAC. The response to treatment was largest for children with the lowest anthropometric status at admission in either measurement. MUAC and weight gain are two independent anthropometric measures that can be used to monitor sufficient recovery in children treated for SAM. This study provides empirical evidence from a low-income country to support the recent World Health Organization recommendation.

Monitoring and discharging children being treated for severe acute malnutrition using mid-upper arm circumference: secondary data analysis from rural Gambia

Background

Severe acute malnutrition (SAM) is a major public health problem. Mid-upper arm circumference (MUAC) is widely used to admit children to treatment programmes. However, insufficient data supporting MUAC discharge criterion limits its use as a stand-alone tool. Our aim was to evaluate MUAC for monitoring nutritional recovery and discharge.

Methods

This was a secondary analysis of clinical data from children 6-59 months-old treated for SAM from January 2003 to December 2013 at the Nutritional Rehabilitation Unit in rural Gambia. Weight, weight-for-height z-score (WHZ) and MUAC response to treatment were assessed. Treatment indicators and regression models controlled for admission measurement and age were compared by discharge MUAC and WHZ.

Results

Four hundred and sixty-three children with marasmus were included. MUAC, WHZ and weight showed parallel responses to treatment. MUAC≥125 mm as a discharge criterion performed well, showing good prediction of default and referral to hospital, acceptable duration of stay, and a higher absolute MUAC measure compared to WHZ≥-2.00, closely related to lower risk of mortality.

Conclusions

MUAC can be used as a standalone tool for monitoring nutritional recovery. MUAC≥125 mm performs well as a discharge criterion; however, follow-up data is needed to assess its safety. Further research is needed on children meeting MUAC discharge criterion but with WHZ≤2.0.