Use Of Mid-upper Arm Circumference Research Articles

Perceptions of stakeholders on the use of a simplified, combined protocol for treatment of acute malnutrition in Central African Republic.

Treatment of acute malnutrition requires novel approaches to improve coverage, reduce costs and improve the efficiency of standard protocols that separate the management of moderate acute malnutrition (MAM) and severe acute malnutrition (SAM). The use of simplified, combined protocols to treat both MAM and SAM has drawn research and policy interest among global, regional and national stakeholders. However, the perspectives of local communities and health care workers regarding the use of protocols to treat acute malnutrition in a routine health care system are generally lacking. This was a cross-sectional mixed-methods study aimed at assessing the perceptions of different stakeholders on the use of a simplified, combined protocol in two districts in the Central African Republic. Most of the respondents preferred the simplified, combined protocol over the standard protocol. They generally agreed that the protocol was easy to understand, allowed more children to receive treatment and was effective in treating acute malnutrition. The protocol modifications were well received, including the expanded admission criteria, use of mid-upper arm circumference (MUAC) only for admission and discharge criteria and reduced and simplified ready-to-use therapeutic food quantity to treat MAM and SAM. Some caregivers expressed concern with the use of MUAC only to declare recovery, flagging that underlying illnesses could still be present. The caregivers recommended the provision of other food basket interventions to improve the treatment. The support by caregivers and health care workers on the idea of training community health volunteers to treat acute malnutrition points to the potential of scaling up decentralized treatment to increase coverage in remote areas.

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

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. 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." 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'. 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.

Measurement of mid-upper arm circumference to screen for childhood malnutrition: General applicability and use in special populations.

Since the development of consensus-recommended indicators for pediatric malnutrition in 2014, screening and diagnosis of pediatric malnutrition have improved, but the indicators are not always used; malnutrition continues to be underdiagnosed in some community and healthcare settings. In particular, mid-upper arm circumference (MUAC) is underused as a screening indicator for pediatric malnutrition, despite its unique advantages and usefulness in several clinical situations. In December 2022, a scientific roundtable was held to bring together several experts in pediatric malnutrition. One of the goals of the scientific roundtable was to discuss the clinical use of anthropometric measures as screening tools for pediatric malnutrition status, with a focus on the use of MUAC. This article arose from that event and is intended as an educational tool to aid clinicians in implementing MUAC measurements. In addition to describing the use of MUAC as a screening tool, the article discusses several clinical situations in which MUAC is especially useful. Additionally, the article reviews practical aspects of measuring and interpreting MUAC values, provides links to additional educational resources, and briefly reviews areas in which further research is needed regarding the use of MUAC for screening of nutrition status in children.

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

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. 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. 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. 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. 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).

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

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

Use of Mid-upper Arm Circumference (MUAC) Measurement Among Children with Disabilities: A Systematic Review

Use of Mid-upper Arm Circumference (MUAC) Measurement Among Children with Disabilities: A Systematic Review

Considerations for assessment of measurement quality of mid-upper arm circumference data in anthropometric surveys and mass nutritional screenings conducted in humanitarian and refugee settings.

Despite frequent use of mid-upper arm circumference (MUAC) to assess populations in humanitarian settings, no guidance exists about the ranges for excluding implausible extreme outliers (flags) from MUAC data and about the quality assessment of collected MUAC data. We analysed 701 population-representative anthropometric surveys in children aged 6-59 months from 40 countries conducted between 2011 and 2019. We explored characteristics of flags as well as changes in survey-level MUAC-for-age z-score (MUACZ) and MUAC means, SD and percentage of flags based on three flagging approaches: ±3 and ±4 MUACZ z-scores from observed MUACZ survey mean and a fixed interval 100-200 mm of MUAC. Both ±4 and 100-200 flagging approaches identified as flags approximately 0.15% of records; about 60% of all surveys had no flagsand less than 1% of surveys had >2% of flags. The ±3 approach flagged 0.6% records in the data setand 3% of surveys had >2% of flags. Plausible ranges (defined as 2.5th and 97.5th percentiles) for SD of MUACZ and MUAC were 0.8-1.2 and 10.5-14.4 mm, respectively. Survey-level SDs of MUAC and MUACZ were highly correlated (r = 0.68). The average SD of MUACZ was 0.96 using the±4 flagging approach and 0.94 with ±3 approach. Defining outliers in MUAC data based on the MUACZ approach is feasible and adjusts for different probability of extreme values based on age and nutrition status of surveyed population. In assessments where age is not recorded and therefore MUACZ cannot be generated, using 100-200 mm range for flag exclusion could be a feasible solution.

Implications of updated protocol for classification of childhood malnutrition and service delivery in world's largest refugee camp amid this COVID-19 pandemic.

During the COVID-19 pandemic, the authorities made a change in the classification of malnutrition and concomitant service delivery protocol among the Rohingya children, residing in world's largest refugee camp, located in Cox's Bazar, Bangladesh. In this paper, we discussed the potential implications of this updated protocol on the malnutrition status among children residing in the Rohingya camps. This paper reviewed relevant literature and authors' own experience to provide a perspective of the updated protocol for the classification of malnutrition among the children in the Rohingya camps and its implication from a broader perspective. Rohingya refugee camps, Bangladesh. Children aged less than five years residing in the Rohingya camps. Major adaptation during this COVID-19 was the discontinuation of using weight-for-height z-score (WHZ) and the use of only mid upper arm circumference (MUAC) and presence of oedema for admission, follow-up and discharge of malnourished children in the camps. However, evidence suggests that use of MUAC only can underestimate the prevalence of malnutrition among the children in Rohingya camps. These apparently non-malnourished children are devoid of the rations that they would otherwise receive if classified as malnourished, making them susceptible to more severe malnutrition. Our analysis suggests that policymakers should consider using the original protocol of using both MUAC and WHZ to classify malnutrition and retain the guided ration size. We also believe that it would not take an extra effort to adopt the original guideline as even with MUAC only guideline, certain health measures needed to adopt during this pandemic.

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

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. 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. 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. 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.

Особенности преподавания темы «Белково-энергетическая недостаточность у детей» англоязычным студентам

В статье отражены проблемы, возникающие в процессе преподавания темы «Белково-энергетическая недостаточность у детей» англоязычным студентам. Освещены отличия протоколов разных стран, в частности приведен сравнительный анализ терминологических понятий «гипотрофия», «белково-энергетическая недостаточность» и under nutrition, stunting, acute, сhronic malnutrition, wasting, kwashiorkor, указаны антропометрические показатели для оценки тяжести дефицита питания (дополнительно используется Mid-Upper Arm Circumference), приведены антропометрические критерии диагностики степени тяжести белково-энергетической недостаточности и группы риска по ее развитию. Описаны вопросы ведения пациентов с тяжелым и умеренным нарушением питания согласно зарубежным документам, представлена дифференциальная таблица выбора типа лечения ребенка с тяжелым нарушением питания, освещены принципы, фазы и стадии лечения, особенности ведения пациентов с использованием продуктов, готовых к употреблению (ready to use therapeutic food). Анализ протоколов Украины, Всемирной организации здравоохранения, Индии, Кении позволил адаптировать методику преподавания указанной темы англоязычным студентам.

Use of mid-upper arm circumference to screen for thinness among sub-Saharan African male detainees.

BMI is a time-intensive measurement to assess nutritional status. Mid-upper arm circumference (MUAC) has been studied as a proxy for BMI in adults, but there is no consensus on its optimal use. We calculated sensitivity, specificity and area under receiver operating characteristic curve (AUROCC) of MUAC for BMI < 18·5, <17 and <16 kg/m2. We designed a system using two MUAC cut-offs, with a healthy (non-thin) 'green' group, a 'yellow' group requiring BMI measurement and a 'red' group who could proceed directly to treatment for thinness. We retrospectively analysed monitoring data collected by the International Committee of the Red Cross in places of detention. 11 917 male detainees in eight African countries. MUAC had excellent discriminatory ability with AUROCC: 0·87, 0·90 and 0·92 for BMI < 18·5, BMI < 17 and BMI < 16 kg/m2, respectively. An upper cut-off of MUAC 25·5 cm to exclude healthy detainees would result in 64 % fewer detainees requiring BMI screening and had sensitivity 77 % (95 % CI 69·4, 84·7) and specificity 79·6 % (95 % CI 72·6, 86·5) for BMI < 18·5 kg/m2. A lower cut-off of MUAC < 21·0 cm had sensitivity 25·4 % (95 % CI 11·7, 39·1) and specificity 99·0 % (95 % CI 97·9, 100·0) for BMI < 16 kg/m2. An additional 50 kg weight requirement improved specificity to 99·6 % (95 % CI 99·0, 100·0) with similar sensitivity. A MUAC cut-off of 25·5 cm, above which detainees are classified as healthy and below receive further screening, would result in significant time savings. A cut-off of <21·0 cm and weight <50 kg can identify some detainees with BMI < 16 kg/m2 who require immediate treatment.

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.

Towards identifying malnutrition among infants under 6 months: a mixed-methods study of South-Sudanese refugees in Ethiopia.

To determine (i) whether distinct groups of infants under 6 months old (U6M) were identifiable as malnourished based on anthropometric measures and if so to determine the probability of admittance to GOAL Ethiopia's Management of At Risk Mothers and Infants (MAMI) programme based on group membership; (ii) whether there were discrepancies in admission using recognised anthropometric criteria, compared with group membership and (iii) the barriers and potential solutions to identifying malnutrition within U6M. Mixed-methods approaches were used, whereby data collected by GOAL Ethiopia underwent: factor mixture modelling, χ2 analysis and logistic regression analysis. Qualitative analysis was performed through coding of key informant interviews. Data were collected in two refugee camps in Ethiopia. Key informant interviews were conducted remotely with international MAMI programmers and nutrition experts. Participants were 3444 South-Sudanese U6M and eleven key informants experienced in MAMI programming. Well-nourished and malnourished groups were identified, with notable discrepancies between group membership and MAMI programme admittance. Despite weight for age z-scores (WAZ) emerging as the most discriminant measure to identify malnutrition, admittance was most strongly associated with mid-upper arm circumference (MUAC). Misconceptions surrounding malnutrition, a dearth of evidence and issues with the current identification protocol emerged as barriers to identifying malnutrition among U6M. Our model suggests that WAZ is the most discriminating anthropometric measure for malnutrition in this population. However, the challenges of using WAZ should be weighed up against the more scalable, but potentially overly sensitive and less accurate use of MUAC among U6M.

Global mid-upper arm circumference cut-offs for adults: a call to action.

Since 2009, mid-upper arm circumference (MUAC) has become an accepted measure for screening children for acute malnutrition and determining eligibility for services to manage acute malnutrition. Use of MUAC has increased the reach and enhanced the quality of community-based management of acute malnutrition services. Increasingly, MUAC is also used to assess nutritional status and eligibility for nutrition support among adolescents and adults, including pregnant and lactating women and HIV and TB clients. However, globally recognised cut-offs have not been established to classify malnutrition among adults using MUAC. Therefore, different countries and programmes use different MUAC cut-offs to determine eligibility for programme services. Patient monitoring guidelines provided by WHO for country adaptation to support the integrated management of adult illness do not include MUAC, in part because guidance does not exist about what MUAC cut-off should trigger further action.

Performance of mid-upper arm circumference as a screening tool for identifying adolescents with overweight and obesity.

Adolescent overweight and obesity is a global public health problem, associated with an increased risk of metabolic syndrome. Recently, mid-upper arm circumference (MUAC) has been suggested as a screening tool to identify overweight and obesity among school-age children and early adolescents (5-14 years). However, little is known about the potential use of MUAC in the late adolescence period (15-19 years). Therefore, the present study aimed to evaluate the performance of MUAC to identify overweight (including obesity) in the late adolescence period in Ethiopia. We conducted a cross-sectional study among 851 adolescents aged 15 to 19 years. We collected anthropometric data including MUAC, weight and height with the help of trained field workers. The receiver operating characteristic (ROC) curve analysis was used to examine the validity of MUAC compared to BMI Z score in identifying adolescents with overweight or obesity. Furthermore, we calculated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), proportion of correctly classified, positive, and negative likelihood ratio for the proposed optimal cut-offs. MUAC was strongly correlated with BMI Z score with a correlation coefficient (r) of 0.81 (95% CI; 0.79-0.84). The optimal MUAC cut-off for identifying adolescents with overweight or obesity was 27.7 cm for males and 27.9 cm for females. The area under the ROC curve (AUC) was 0.96 (95% CI; 0.93-0.98) for males and 0.96 (95% CI; 0.94-0.98) for females. The accuracy level of MUAC to identify adolescents with overweight (including obesity) was high for both sexes (overall a sensitivity of 91.1% and a specificity of 90.3%). MUAC has relatively equivalent accuracy with BMI Z score to identify overweight and obesity in adolescents. Hence, MUAC could be used as an alternative tool for surveillance and screening of overweight in adolescents aged 15-19 years.

Current Practices Using Pediatric Malnutrition Indicators: A Survey of Dietitians Working in Pediatrics.

In 2014, the Academy of Nutrition and Dietetics and the American Society for Parenteral and Enteral Nutrition recommended indicators to identify malnutrition in children aged 1 month to 18 years. The purpose of this study was to evaluate current practices and the effectiveness of the consensus statement-recommended pediatric malnutrition indicators. A cross-sectional electronic survey link was posted in the Pediatric Nutrition Practice Group (subscribers = 3160) and Clinical Nutrition Management Practice Group's Pediatric Subunit (subscribers = 177) community discussion boards. Additionally, flyers with the survey link were distributed to registered dietitian nutritionists (RDNs) currently working in pediatrics at the 2018 Food & Nutrition Conference & Expo. Frequencies described participant characteristics, awareness of indicators, and use of indicators. Researchers used the Fisher exact test to determine associations between categorical variables. Two hundred eighty-one surveys were included in data analysis. A majority of RDNs (88.6%) reported they knew the indicators existed and considered themselves knowledgeable about the indicators. Weight loss was the most frequently used indicator, with 224 RDNs (80%) reporting use as often or always. Mid-upper arm circumference (MUAC) was the least used indicator with only 68 RDNs (25%) using it often or always. Most RDNs (71.5%) reported that their facility used International Classification of Disease, Tenth Revision codes to document malnutrition. RDNs working with pediatric populations consistently use the recommended malnutrition indicators; however, further education is needed on the appropriate use of MUAC and length/height per age as malnutrition indicators.

Use of Mid-Upper Arm Circumference (MUAC) to Predict Malnutrition among Sri Lankan Schoolchildren.

The double burden of malnutrition (under- and overnutrition) is a serious public health issue in childhood. The mid-upper arm circumference (MUAC) is a simple tool for screening nutritional status, but studies of the optimal cutoff to define malnutrition are limited. This study aimed to explore the prediction of malnutrition by MUAC in Sri Lankan schoolchildren. The participants were 538 students (202 boys, 336 girls) aged 5–10 years. Spearman’s rank correlation was calculated for MUAC and both body-mass-index-for-age z-score (BAZ) and height-for-age z-score (HAZ). Receiver operating characteristic (ROC) analysis was conducted to assess the ability of MUAC to correctly classify malnutrition, after stratifying for age and birth weight. MUAC correlated significantly with BAZ (r = 0.84) and HAZ (r = 0.35). The areas under the ROC curve for thinness, overweight, obesity, and stunting were 0.88, 0.97, 0.97, and 0.77, respectively. The optimal MUAC cutoff values for predicting thinness and stunting were 167.5 mm and 162.5 mm, respectively; the optimal cutoffs for predicting overweight and obesity were 190.5 mm and 218.0 mm, respectively. These cutoffs differed after stratification by age group and birth weight. Our results confirm MUAC to be a useful tool for monitoring growth in schoolchildren.

Determination of overnutrition using mid-upper arm circumference in comparison with bioelectrical impedance analysis in children and adolescents in Benin, Nigeria

PurposeThe prevalence of overweight and obesity in children and adolescents is on the increase in developing countries. Therefore, a cheap, accessible and simple screening tool such as the mid-upper arm circumference (MUAC) is required for the prompt assessment. The purpose of this paper is to determine the usefulness of MUAC in assessing overnutrition in comparison with bioelectrical impedance analysis (BIA).Design/methodology/approachParticipants included 1,067 children aged 6–18 years recruited from private and public schools in Egor Local Government Area in Benin City, Nigeria. Body fat was estimated by BIA using a Tanita scale, whereas the MUAC was measured with a non-elastic tape. Receiver operating characteristic analysis was used to test the ability of MUAC to determine children and adolescents identified as overweight and obese by BIA.FindingsThe prevalence of overnutrition by MUAC (12.4 percent – overweight 6.0 percent and obesity 6.4 percent) was comparable to that by BIA (12.3 percent – overweight 5.4 percent, obesity 6.9 percent). There was a significant correlation between MUAC and body fat percentage, fat mass, fat mass index and fat-free mass index in both males and females (p=0.000).Research limitations/implicationsThis study, in contrast to most other studies on the use of MUAC in the assessment of overnutrition, has the advantage of using BIA cut-offs values against body mass index which does not assess body fat composition. BIA is, however, not the gold standard in the measurement of body fat composition. The optimal MUAC cut-off values of this study may not be representative of the entire country because of its restriction to Benin. Similar studies from different parts of Nigeria will be required to validate this smoothed MUAC percentiles for use in the screening of children and adolescents for overnutrition.Originality/valueMUAC compares well with BIA in this study and can be a useful, alternative and practical screening tool for assessing obesity in the resource-poor setting.

Mid-upper arm circumference predicts death in adult patients admitted to a TB ward in the Philippines: A prospective cohort study.

BackgroundThe Philippines is ranked 3rd globally for tuberculosis incidence (554/100,000 population). The tuberculosis ward at San Lazaro Hospital, Manila receives 1,800–2,000 admissions of acutely unwell patients per year with high mortality. Objectives of this prospective cohort study were to quantify the association of under-nutrition (primary) and diabetes (secondary) with inpatient mortality occurring between 3–28 days of hospital admission in patients with suspected or previously diagnosed TB.Methods and resultsWe enrolled 360 adults (≥18 years); 348 were eligible for the primary analysis (alive on day 3). Clinical, laboratory, anthropometric and enhanced tuberculosis diagnostic data were collected at admission with telephone tracing for mortality up to 6 months post-discharge. In the primary analysis population (mean age 45 years, SD = 15.0 years, 70% male), 58 (16.7%) deaths occurred between day 3–28 of admission; 70 (20.1%) between day 3 and discharge and documented total post-day 3 mortality including follow-up was 96 (27.6%). In those in whom it could be assessed, body mass index (BMI) ranged from 11.2–30.6 kg/m2 and 141/303 (46.5%) had moderate/severe undernutrition (BMI<17 kg/m2). A sex-specific cut-off for mid-upper arm circumference predictive of BMI<17 kg/m2 was associated with inpatient Day 3–28 mortality in males (AOR = 5.04, 95% CI: 1.50–16.86; p = 0.009; p = 0.032 for interaction by sex). The inability to stand for weight/height for BMI assessment was also associated with mortality (AOR = 5.59; 95% CI 2.25–13.89; p<0.001) as was severe compared to normal/mild anaemia (AOR = 9.67; 95% CI 2.48–37.76; p<0.001). No TB specific variables were associated with Day 3–28 mortality, nor was diabetes (HbA1c ≥6.5% or diabetes treatment). Similar effects were observed when the same multivariable model was applied to confirmed TB patients only and to the outcome of all post-day 3 in-patient mortality.ConclusionThis research supports the use of mid-upper arm circumference for triaging acutely unwell patients and the design and testing of nutrition-based interventions to improve patient outcomes.

Predictive and concurrent validity of the Malnutrition Universal Screening Tool using mid-upper arm circumference instead of body mass index.

Considering the difficulty in obtaining weight and height measurements of patients at hospital admission, the Malnutrition Universal Screening Tool (MUST) proposes the use of mid-upper arm circumference (MUAC) instead of body mass index (BMI) as an alternative for screening of malnutrition risk. The present study aimed to evaluate the performance of MUST with MUAC in place of BMI to identify nutritional risk and predict prolonged hospitalisation and mortality in hospitalised patients. The prospective cohort study involved ambulant patients aged ≥18years who were admitted to the emergency department of a public hospital. A questionnaire concerning clinical and socio-demographic data was applied and anthropometric measurements were performed (weight, height, BMI and MUAC). Nutritional risk screening was performed using the original MUST (BMI) and MUST-MUAC tools. The outcomes were length of hospital stay and death. Seven hundred and fifty-two patients were included and followed-up for 13.5 (interquartile range 3.00-19.00) days. The frequency of patients at nutritional risk was higher according to MUST-MUAC (48.9%) compared to the original MUST (37.1%). MUST-MUAC showedconcurrent validity, demonstrating good agreement with the original MUST (k=0.690), high sensitivity (95.3%) and accuracy (area under the curve=0.868; 95% confidence interval=0.841-0.895) with respect to identifying nutritional risk. The presence of nutritional risk detected by the MUST-MUAC increased the chance of prolonged hospital stay by 1.9 (95% CI. 1.4-2.7)-fold and mortality by 3.2 (95% CI. 1.1-9.4)-fold. MUST-MUAC showed satisfactory concurrent and predictive validity. Considering that MUAC measurement is easier to perform than BMI, the MUST-MUAC should be used for screening of nutritional risk in hospitalised patients.