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.

BACKGROUND: 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. METHODS: 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. RESULTS: 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 < 115 mm 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)]. CONCLUSION: 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.

Mid-upper arm circumference only protocol in Pakistan: missed opportunities for children suffering from severe acute malnutrition? A mixed-methods observational study.

OBJECTIVE: We investigated the missed treatment opportunities affecting programmes using mid-upper arm circumference (MUAC) as the sole anthropometric criterion for identification and monitoring of children suffering from severe acute malnutrition (SAM). DESIGN: Alongside MUAC, we assessed weight-for-height Z-score (WHZ) in children screened and treated according to the national MUAC only protocol in Pakistan. Besides, we collected parents' perceptions regarding the treatment received by their children through qualitative interviews. SETTING: Data were collected from October to December 2021 in Tando Allah Yar District, Sindh. SUBJECTS: All children screened in the health facilities (n 8818) and all those discharged as recovered (n 686), throughout the district, contributed to the study. All children screened in the community in the catchment areas of five selected health facilities also contributed (n 8459). Parents of forty-one children randomly selected from these same facilities participated in the interviews. RESULTS: Overall, 80·3 % of the SAM cases identified during community screening and 64·1 % of those identified in the health facilities presented a 'WHZ-only' diagnosis. These figures reached 93·9 % and 84·5 %, respectively, in children aged over 24 months. Among children treated for SAM and discharged as recovered, 25·3 % were still severely wasted according to WHZ. While parents positively appraised the treatment received by their children, they also recommended to extend eligibility to other malnourished children in their neighbourhood. CONCLUSION: In this context, using MUAC as the sole anthropometric criterion for treatment decisions (referral, admission and discharge) resulted in a large number of missed opportunities for children in need of timely and adequate care.

Impact of COVID-19 program adaptations on costs and cost-effectiveness of community management of acute malnutrition program in South Sudan.

OBJECTIVE: We assessed the impact of the COVID-19 pandemic and the protocol adaptations on cost and cost-effectiveness of community management of acute malnutrition (CMAM) program in South Sudan. DESIGN: Retrospective program expenditure-based analysis of non-governmental organisation (NGO) CMAM programs for COVID-19 period (April 2020-December 2021) in respect to pre-COVID period (January 2019-March 2020). SETTING: Study was conducted as part of a bigger evaluation study in South Sudan. PARTICIPANTS: International and national NGOs operating CMAM programs under the nutrition cluster participated in the study. RESULTS: The average cost per child recovered from the programme declined by 20 % during COVID from $133 (range: $34-1174) pre-COVID to $107 (range: $20-333) during COVID. The cost per child recovered was negatively correlated with programme size (pre-COVID r-squared = 0·58; during COIVD r-squared = 0·50). Programmes with higher enrollment were cheaper compared with those with low enrolment. Salaries, ready to use food and community activities accounted for over two-thirds of the cost per recovery during both pre-COVID (69 %) and COVID (79 %) periods. While cost per child recovered decreased during COVID period, it did not negatively impact on the programme outcome. Enrolment increased by an average of 19·8 % and recovery rate by 4·6 % during COVID period. CONCLUSIONS: Costs reduced with no apparent negative implication on recovery rates after implementing the COVID CMAM protocol adaptations with a strong negative correlation between cost and programme size. This suggests that investing in capacity, screening and referral at existing CMAM sites to enable expansion of caseload maybe a preferable strategy to increasing the number of CMAM sites in South Sudan.

RELATIONSHIP BETWEEN ANTHROPOMETRIC INDICES AND LEFT VENTRICULAR MASS IN CHILDREN WITH SEVERE ACUTE MALNUTRITION IN GOMBE STATE, NIGERIA.

Introduction: Severe acute malnutrition (SAM), which is diagnosed through anthropometric measurement, causes cardiac muscle wasting and this has been linked to increased mortality. Objective: This study aimed at determining the relationship between anthropometric indices and left ventricular mass (LVM) in children with SAM in Gombe State. This is to determine if anthropometric indices can be used to estimate/predict LVM in these children. Methods: One hundred and thirty-two children with SAM aged 6 to 36 months were recruited from all the five primary health care centres that offer community management of acute malnutrition in Gombe State. Their anthropometric indices (weight, height, mid-upper arm circumference (MUAC), body surface area (BSA), body mass index (BMI) and weight-for-height Z score (WHZ) were measured/derived). Their left ventricular indices were also measured using two dimensional echocardiography. Results: The mean weight, height, MUAC, BSA and BMI were 5.5+1.2kg, 69+6.1cm, 10.2+0.9cm, 0.33+0.05m2 and 11.6+1.4kg/m2, respectively. The mean LVM was 17.7+7.1g. Weight, BSA, height, BMI and MUAC had significant positive correlation with LVM [r = 0.55, r=0.53, r = 0.43, r = 0.3 and r = 0.3(p=0.001)], respectively. The determination coefficients(R2) of anthropometric indices with LVM were 0.30, 0.284 and 0.187 for weight, BSA and height, respectively. However, in multiple regression model, no anthropometric index was significantly associated with LVM. Conclusion: Some of anthropometric indices had direct linear relationship with LVM but none of them can be used to estimate/predict LVM in children with SAM in Gombe State.

Evaluating the Validity of the Responses to Illness Severity Quantification Score to Discriminate Illness Severity and Level of Care Transitions in Hospitalized Children with Severe Acute Malnutrition.

OBJECTIVE: To evaluate the validity of the Responses to Illness Severity Quantification (RISQ) score to discriminate illness severity and transitions between levels of care during hospitalization. STUDY DESIGN: A prospective observational study conducted in Maiduguri, Nigeria, enrolled inpatients aged 1-59 months with severe acute malnutrition. The primary outcome was the RISQ score associated with the patient state. Heart and respiratory rate, oxygen saturation, respiratory effort, oxygen use, temperature, and level of consciousness are summed to calculate the RISQ score. Five states were defined by levels of care and hospital discharge outcome. The states were classified hierarchically, reflecting illness severity: hospital mortality was the most severe state, then intensive care unit (ICU), care in the stabilization phase (SP), care in the rehabilitation phase (RP), and lowest severity, survival at hospital discharge. A multistate statistical model examined performance of the RISQ score in predicting clinical states and transitions. RESULTS: Of 903 children enrolled (mean age, 14.6 months), 63 (7%) died. Mean RISQ scores during care in each phase were 3.5 (n = 2265) in the ICU, 1.7 (n = 6301) in the SP, and 1.5 (n = 2377) in the RP. Mean scores and HRs for a 3-point change in score at transitions: ICU to death, 6.9 (HR, 1.80); SP to ICU, 2.8 (HR, 2.00); ICU to SP, 2.0 (HR, 0.5); and RP to discharge, 1.4 (HR, 0.91). CONCLUSIONS: The RISQ score can discriminate between points of escalation or de-escalation of care and reflects illness severity in hospitalized children with severe acute malnutrition. Evaluation of clinical implementation and demonstration of benefit will be important before widespread adoption.

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.

Development and an initial validation of the Responses to Illness Severity Quantification (RISQ) score for severely malnourished children.

AIM: To develop and perform an initial validation of a score to measure the severity of illness in hospitalised children with severe acute malnutrition (SAM). METHODS: A prospective study enrolled SAM children aged 6-59 months hospitalised in Borno State, Nigeria. Candidate items associated with inpatient mortality were combined and evaluated as candidate scores. Clinical and statistical methods were used to identify a preferred score. RESULTS: The 513 children enrolled had a mean age of 15.6 months of whom 48 (9%) died. Seven of the 10 evaluated items were significantly associated with mortality. Five different candidate scores were tested. The final score, Responses to Illness Severity Quantification (RISQ), included seven items: heart rate, respiratory rate, respiratory effort, oxygen saturation, oxygen delivery, temperature and level of consciousness. The mean RISQ score on admission was 2.6 in hospital survivors and 7.3 for children dying <48 h. RISQ scores <24 h before death had an area under the receiver operating characteristic curve (AUROC) of 0.93. The RISQ score performed similarly across differing clinical conditions with AUROCs 0.77-0.98 for all conditions except oedema. CONCLUSION: The RISQ score can identify high-risk malnourished children at and during hospital admission. Clinical application may help prioritise care and potentially improve survival.

A novel screening tool to predict severe acute malnutrition through automated monitoring of weight-for-age growth curves.

Weight-for-age (WFA) growth faltering often precedes severe acute malnutrition (SAM) in children, yet it is often missed during routine growth monitoring. Automated interpretation of WFA growth within electronic health records could expedite the identification of children at risk of SAM. This study aimed to develop an automated screening tool to predict SAM risk from WFA growth, and to determine its predictive ability compared with simple changes in weight or WFA z-score. To develop the screening tool, South African child growth experts (n = 30) rated SAM risk on 100 WFA growth curves, which were then used to train an artificial neural network (ANN) to assess SAM risk from consecutive WFA z-scores. The ANN was validated in 185 children under five (63 SAM cases; 122 controls) using diagnostic accuracy methodology. The ANN's performance was compared with that of changes in weight or WFA z-score. Even though experts' SAM risk ratings of the WFA growth curves differed considerably, the ANN achieved a sensitivity of 73.0% (95% confidence interval [CI]: 60.3; 83.4), specificity of 86.1% (95% CI: 78.6; 91.7) and receiver-operating characteristic curve area of 0.795 (95% CI: 0.732; 0.859) during validation with real cases, outperforming changes in weight or WFA z-scores. The ANN, as an automated screening tool, could markedly improve the identification of children at risk of SAM using routinely collected WFA growth information.

Time to recovery and its predictors among children aged 6-59 months with severe acute malnutrition admitted to outpatient therapeutic program in Southwest Ethiopia: retrospective cohort study.

BACKGROUND: Outpatient therapeutic program (OTP) brings the services for the management of Severe Acute Malnutrition (SAM) closer to the community by making services available at decentralized treatment points within the primary health care setting. Despite the available interventions to tackle nutritional problems, there is scarce information on time to recovery and its predictors. Therefore, the aim of this study was to estimate time to recovery and identify its predictors among children aged 6-59 month with SAM admitted to OTP in Bench Sheko zone Southwest Ethiopia. METHODS: A retrospective cohort study was conducted on 588 children who had been managed for SAM under OTP, from September 01, 2018, to August 30, 2019, in 4 public health centers in Bench Sheko zone. A total of 1301 children's card were eligible from them 588 children's cards were selected by simple random sampling methods. Data was entered into EPI- data version 4.4.2 and exported to SPSS version 20 for analysis. Kaplan Meir estimate median time to recovery and survival curve was used to compare the time to recovery using a log-rank test among different characteristics. Cox Proportional Hazard Model was used to identify significant predictors of time to recovery. Association was summarized by using adjusted hazard ratio (AHR) and statistical significance was declared at 95% CI, and P-value < 0.05. RESULT: Recovery rate was 54.4% with the median recovery time 49 days with an Interquartile range of 21 days. The independent predictors of nutritional recovery time were: newly admitted (AHR = 1.52, 95% CI: 1.17, 2.98),had no diarrhea (AHR = 1.9, 95% CI: 1.52, 2.42), had no cough (AHR = 1.4, 95% CI: 1.13, 1.74) had no blood stool (AHR = 1.55, 95% CI: 1.14, 2.10) had no malaria (AHR = 1.75, 95% CI: 1.32, 2.32), and took deworming (AHR = 1.4, 95% CI: 1.01-1.61). CONCLUSION AND RECOMMENDATION: In the current study recovery rate and the median time of recovery is by far below the standard. Cough, diarrhea, malaria, deworming and admission status were independently associated with recovery time. Health professionals should give attention for early detection and management of co-morbidities. Minster of health should give refreshment community based management of acute malnutrition training for health workers to follow the national guideline strictly.

Tuberculosis in children with severe acute malnutrition.

INTRODUCTION: With growing attention globally to the childhood tuberculosis epidemic after decades of neglect, and with the burden of severe acute malnutrition (SAM) remaining unacceptably high worldwide, the collision of these two diseases is an important focus for improving child health. AREAS COVERED: This review describes the clinical and public health implications of the interplay between tuberculosis and SAM, particularly for children under the age of five, and identifies priority areas for improved programmatic implementation and future research. We reviewed the literature on PubMed and other evidence known to the authors published until August 2021 relevant to this topic. EXPERT OPINION: To achieve the World Health Organization's goal of eliminating deaths from childhood tuberculosis and to improve the abysmal outcomes for children with SAM, further research is needed to 1) better understand the epidemiologic connections between child tuberculosis and SAM, 2) improve case finding of tuberculosis in children with SAM, 3) assess unique treatment considerations for tuberculosis when children also have SAM, and 4) ensure tuberculosis and SAM are strongly addressed in decentralized, integrated models of providing primary healthcare to children.

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.

Time to develop severe acute malnutrition and its predictors among children living with HIV in the era of test and treat strategies at South Gondar hospitals, northwest, Ethiopia, 2021: a multicentre retrospective cohort study.

BACKGROUND: Although severe acute malnutrition is a major public issue among HIV infected children, there is no prior evidence in Ethiopia. Hence, this study aims to assess the time to develop severe acute malnutrition and its predictors among children living with human immunodeficiency virus in Ethiopia, 2012. METHODS: An institution based retrospective cohort study was conducted in South Gondar hospitals among 363 HIV infected children from February 10, 2014, to January 7, 2021. Epi-data version 3.1 was used to enter data, which was then exported to STATA version 14 for analysis. Besides, WHO (World Health Organization) Anthro Plus software was used to assess the nutritional status of the children. A standardized data extraction tool was used to collect the data. The Kaplan Meier survival curve was used to estimate the median survival time. The Cox-proportional hazard model assumption was checked via the Schoenfeld residual ph test and a stph plot. Bivariable and multivariable Cox proportional hazard models were employed at 95% confidence intervals (CI). A variable having a p-value < 0.05 was considered a statistically significant predictor of severe acute malnutrition. RESULTS: A total of 363 children living with HIV, 97 (26.72%) developed severe acute malnutrition during the follow-up period. The overall incidence rate was 5.4 (95% CI: 4.7-5.9) person per year with a total of 21, 492 months or 1791 years of observation. Moreover, the median survival time was 126 months. Treatment failure [AHR =3.4 (95% CI: 2.05-5.75)], CD4 count below threshold [AHR =2.5 (95% CI: 1.64-3.95)], and WHO stage III & IV [AHR =2.9 (95% CI: 1.74-4.73)] were all significant predictors of severe acute malnutrition. CONCLUSION: The time to develop severe acute malnutrition was found to be very low. Treatment failure, CD4 count below threshold, and WHO stage III were all significant predictors of severe acute malnutrition. Hence, emphasizing those predictor variables is essential for preventing and controlling the occurrence of severe acute malnutrition among HIV infected children.

Interactions between fecal gut microbiome, enteric pathogens, and energy regulating hormones among acutely malnourished rural Gambian children.

BACKGROUND: The specific roles that gut microbiota, known pathogens, and host energy-regulating hormones play in the pathogenesis of non-edematous severe acute malnutrition (marasmus SAM) and moderate acute malnutrition (MAM) during outpatient nutritional rehabilitation are yet to be explored. METHODS: We applied an ensemble of sample-specific (intra- and inter-modality) association networks to gain deeper insights into the pathogenesis of acute malnutrition and its severity among children under 5 years of age in rural Gambia, where marasmus SAM is most prevalent. FINDINGS: Children with marasmus SAM have distinct microbiome characteristics and biologically-relevant multimodal biomarkers not observed among children with moderate acute malnutrition. Marasmus SAM was characterized by lower microbial richness and biomass, significant enrichments in Enterobacteriaceae, altered interactions between specific Enterobacteriaceae and key energy regulating hormones and their receptors. INTERPRETATION: Our findings suggest that marasmus SAM is characterized by the collapse of a complex system with nested interactions and key associations between the gut microbiome, enteric pathogens, and energy regulating hormones.  Further exploration of these systems will help inform innovative preventive and therapeutic interventions. FUNDING: The work was supported by the UK Medical Research Council (MRC; MC-A760-5QX00) and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement; Bill and Melinda Gates Foundation (OPP 1066932) and the National Institute of Medical Research (NIMR), UK. This network analysis was supported by NIH U54GH009824 [CLD] and NSF OCE-1558453 [CLD].

A feasibility study to assess non-clinical community health workers' capacity to use simplified protocols and tools to treat severe acute malnutrition in Niger state Nigeria.

BACKGROUND: Severe acute malnutrition (SAM) is a major determinant of childhood mortality and morbidity. Although integrated community case management (iCCM) of childhood illnesses is a strategy for increasing access to life-saving treatment, malnutrition is not properly addressed in the guidelines. This study aimed to determine whether non-clinical Community Health Workers (called Community-Oriented Resource Persons, CORPs) implementing iCCM could use simplified tools to treat uncomplicated SAM. METHODS: The study used a sequential multi-method design and was conducted between July 2017 and May 2018. Sixty CORPs already providing iCCM services were trained and deployed in their communities with the target of enrolling 290 SAM cases. Competency of CORPs to treat and the treatment outcomes of enrolled children were documented. SAM cases with MUAC of 9 cm to < 11.5 cm without medical complications were treated for up to 12 weeks. Full recovery was at MUAC≥12.5 cm for two consecutive weeks. Supervision and quantitative data capturing were done weekly while qualitative data were collected after the intervention. RESULTS: CORPs scored 93.1% on first assessment and increment of 0.11 (95% CI, 0.05-0.18) points per additional supervision conducted. The cure rate from SAM to full recovery, excluding referrals from the denominator in line with the standard for reporting SAM recovery rates, was 73.5% and the median length of treatment was 7 weeks. SAM cases enrolled at 9 cm to < 10.25 cm MUAC had 31% less likelihood of recovery compared to those enrolled at 10.25 cm to < 11.5 cm. CORPs were not burdened by the integration of SAM into iCCM and felt motivated by children's recovery. Operational challenges like bad terrains for supervision, supply chain management and referrals were reported by supervisors, while Government funding was identified as key for sustainability. CONCLUSION: The study demonstrated that with training and supportive supervision, CORPs in Nigeria can treat SAM among under-fives, and refer complicated cases using simplified protocols as part of an iCCM programme. This approach seemed acceptable to all stakeholders, however, the effect of the extra workload of integrating SAM into iCCM on the quality of care provided by the CORPs should be assessed further.

Improving recognition and management of children with complicated severe acute malnutrition at a tertiary referral hospital in Malawi: a quality improvement initiative.

BACKGROUND: Severe acute malnutrition (SAM) is common in low-income countries and is associated with high mortality in young children. OBJECTIVE: To improve recognition and management of SAM in a tertiary hospital in Malawi. METHODS: The impact of multifaceted quality improvement interventions in process measures pertaining to the identification and management of SAM was assessed. Interventions included focused training for clinical staff, reporting process measures to staff, and mobile phone-based group messaging for enhanced communication. This initiative focused on children aged 6-36 months admitted to Kamuzu Central Hospital in Malawi from September 2019 to March 2020. Before-after comparisons were made with baseline data from the year before, and process measures within this intervention period which included three plan-do-study-act (PDSA) cycles were compared. RESULTS: During the intervention period, 418 children had SAM and in-hospital mortality was 10.8%, which was not significantly different from the baseline period. Compared with the baseline period, there was significant improvement in the documentation of full anthropometrics on admission, blood glucose test within 24 hours of admission and HIV testing results by discharge. During the intervention period, amidst increasing patient census with each PDSA cycle, three process measures were maintained (documentation of full anthropometrics, determination of nutritional status and HIV testing results), and there was significant improvement in blood glucose documentation. CONCLUSION: Significant improvement in key quality measures represents early progress towards the larger goal of improving patient outcomes, most notably mortality, in children admitted with SAM.

Incidence of relapse following a new approach to simplifying and optimising acute malnutrition treatment in children aged 6-59 months: a prospective cohort in rural Northern Burkina Faso.

The present study aimed to determine the 3-month incidence of relapse and associated factors among children who recovered under the Optimising treatment for acute MAlnutrition (OptiMA) strategy, a MUAC-based protocol. A prospective cohort of children successfully treated for acute malnutrition was monitored between April 2017 and February 2018. Children were seen at home by community health workers (CHWs) every 2 weeks for 3 months. Relapse was defined as a child who had met OptiMA recovery criteria (MUAC ≥ 125 mm for two consecutive weeks) but subsequently had a MUAC < 125 mm at any home visit. Cumulative incidence and incidence rates per 100 child-months were estimated. Multivariable survival analysis was conducted using a shared frailty model with a random effect on health facilities to identify associated factors. Of the 640 children included, the overall 3-month cumulative incidence of relapse was 6⋅8 % (95 % CI 5⋅2, 8⋅8). Globally, the incidence rate of relapse was 2⋅5 (95 % CI 1⋅9, 3⋅3) per 100 child-months and 3⋅7 (95 % CI 1⋅9, 6⋅8) per 100 child-months among children admitted with a MUAC < 115 mm. Most (88⋅6 %) relapses were detected early when MUAC was between 120 and 124 mm. Relapse was positively associated with hospitalisation, with an adjusted hazard ratio (aHR) of 2⋅06 (95 % CI 1⋅01, 4⋅26) for children who had an inpatient stay at any point during treatment compared with children who did not. The incidence of relapse following recovery under OptiMA was relatively low in this context, but the lack of a standard relapse definition does not allow for comparison across settings Closer follow-up with caretakers whose children are admitted with MUAC < 115 mm or required hospitalisation during treatment should be considered in managing groups at high risk of relapse. Training caretakers to screen their children for relapse at home using MUAC could be more effective at detecting early relapse, and less costly, than home visits by CHWs.

Potential value of urine lateral-flow lipoarabinomannan (LAM) test for diagnosing tuberculosis among severely acute malnourished children.

BACKGROUND: Tuberculosis (TB) is a serious co-morbidity among children with severe acute malnutrition (SAM) and TB diagnosis remains particularly challenging in the very young. We explored whether, in a low HIV-prevalence setting, the detection of mycobacterial lipoarabinomannan (LAM) antigen in urine may assist TB diagnosis in SAM children, a pediatric population currently not included in LAM-testing recommendations. To that end, we assessed LAM test-positivity among SAM children with and without signs or symptoms of TB. METHODS: A cross-sectional assessment (February 2016-August 2017) included children <5 years with SAM from an Intensive-Therapeutic-Feeding-Centre in Madaoua, Niger. Group 1: children with signs or symptoms suggestive of TB. Group 2: children without any sign or symptom of TB. Urine-specimens were subjected to DetermineTM TB-LAM lateral-flow-test (using a 4-grade intensity scale for positives). LAM-results were used for study purposes and not for patient management. Programmatic TB-diagnosis was primarily based on patients' clinical symptoms and TB contact history with no systematic access to X-ray or microbiological reference testing. RESULTS: 102 (Group 1) and 100 children (Group 2) were included (median age 18 months, 59.4% male, 1.0% HIV-positive). In Group 1, 22 (21.6%) children were started on TB-treatment (probable TB) and none of the children in Group 2. LAM-positivity was 52.0% (53/102) and 37.0% (37/100) in Group 1 and 2, respectively. Low-intensity (Grade 1) LAM test-positivity was similarly high in both Groups (37.3% and 36.0%, respectively), while Grade 2 or 3-positives were mainly detected in Group 1 (Group 1: 14.7%, Group 2: 1.0%, p<0.001). When considering only Grades >1 as positive, LAM-testing detected 22.7% (95%CI: 7.8, 45.4) among probable TB cases, while 99% (95%CI: 94.6, 99.9) of unlikely TB cases (Group 2) tested negative. CONCLUSION: These findings suggest the potential utility of LAM urine testing in HIV-negative children with SAM. Determine LAM-positivity with Grades >1 may identify HIV-negative SAM children that are eligible for rapid TB-treatment initiation, though low-intensity (Grade 1) LAM-positive results may not be helpful in this way. Further studies in this specific pediatric population are warranted, including evaluations of new generation LAM tests.

Clinical and Biochemical Markers of Risk in Uncomplicated Severe Acute Malnutrition.

BACKGROUND AND OBJECTIVES: Use of mid-upper arm circumference (MUAC) as a single screening tool for severe acute malnutrition (SAM) assumes that children with a low weight-for-height z score (WHZ) and normal MUAC have lower risks of morbidity and mortality. However, the pathophysiology and functional severity associated with different anthropometric phenotypes of SAM have never been well characterized. We compared clinical characteristics, biochemical features, and health and nutrition histories of nonedematous children with SAM who had (1) low WHZ only, (2) both low WHZ and low MUAC, or (3) low MUAC only. METHODS: In Bangladesh, Burkina Faso, and Liberia, we conducted a multicentric cohort study in uncomplicated, nonedematous children with SAM and low MUAC only (n = 161), low WHZ only (n = 138), or a combination of low MUAC and low WHZ (n = 152). Alongside routine anthropometric measurements, we collected a wide range of critical indicators of clinical and nutritional status and viability; these included serum leptin, an adipocytokine negatively associated with mortality risk in SAM. RESULTS: Median leptin levels at diagnosis were lower in children with low WHZ only (215.8 pg/mL; P < .001) and in those with combined WHZ and MUAC deficits (180.1 pg/mL; P < .001) than in children with low MUAC only (331.50 pg/mL). The same pattern emerged on a wide range of clinical indicators, including signs of severe wasting, dehydration, serum ferritin levels, and caretaker-reported health deterioration, and was replicated across study sites. CONCLUSIONS: Illustrative of the likely heterogeneous functional severity of the different anthropometric phenotypes of SAM, our results confirm the need to retain low WHZ as an independent diagnostic criterion.