Burden and risk factors for relapse following successful treatment of uncomplicated severe acute malnutrition in young children: Secondary analysis from a randomised trial in Niger

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Study Justification:
This study aimed to investigate the burden of relapse following successful treatment for severe acute malnutrition (SAM) in rural Niger. The study aimed to identify risk factors for relapse and provide recommendations for future nutritional programs in the region. The study is important because relapse after treatment can undermine the effectiveness of interventions and lead to negative health outcomes for children.
Highlights:
– The study found that 8% of children relapsed to SAM and 6% were hospitalized after successful treatment.
– Risk factors for relapse included discharge during the lean season and larger household size, while protective factors included older child age, higher mid-upper arm circumference (MUAC) at discharge, and maternal literacy.
– Discharge during the lean season was also associated with postdischarge hospitalization.
– The study suggests potential interventions to prevent relapse, such as modifying discharge criteria or providing additional home support during the lean season.
– Further research and postdischarge follow-up are needed to understand the sustainability of treatment outcomes and identify interventions for long-term recovery.
Recommendations:
– Nutritional programs in Niger should consider modifying anthropometric discharge criteria or providing additional support during the lean season to prevent relapse.
– Further research and postdischarge follow-up are needed to better understand treatment outcomes after discharge and identify interventions for sustained recovery.
Key Role Players:
– Médecins Sans Frontières (MSF)
– Ministry of Health of Niger
– Forum Santé Niger (FORSANI)
– Local health centers and health workers
– Researchers and data analysts
Cost Items for Planning Recommendations:
– Training and capacity building for health workers
– Additional resources for home support during the lean season
– Research funding for further studies and postdischarge follow-up
– Monitoring and evaluation of interventions
– Data collection and analysis
– Communication and dissemination of findings
Please note that the cost items provided are general suggestions and may vary based on the specific context and implementation plan.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because the study provides detailed information on the burden of relapse following treatment for severe acute malnutrition in rural Niger. It includes a large sample size and uses multivariate log-binomial models to identify independent risk factors. However, the study could be improved by providing more information on the methodology, such as the data collection process and statistical analysis techniques used. Additionally, the abstract does not mention any limitations of the study, which could affect the strength of the evidence.

This study aimed to quantify the burden of relapse following successful treatment for uncomplicated severe acute malnutrition (SAM) and to identify associated risk factors in rural Niger. We used data from 1490 children aged 6−59 months discharged as recovered from an outpatient nutritional programme for SAM and followed for up to 12 weeks after admission. Postdischarge SAM relapse was defined as weight-for-height Z-score <−3, mid-upper arm circumference (MUAC) <115 mm or bipedal oedema after having been discharged as recovered. Postdischarge hospitalisation was defined as admission to inpatient SAM treatment or hospitalisation for any cause after having been discharged as recovered. We used multivariate log-binomial models to identify independent risk factors. After programmatic discharge, 114 (8%) children relapsed to SAM and 89 (6%) were hospitalised. Factors associated with SAM relapse were discharge during the lean season (relative risk [RR] = 1.80 [95% confidence interval [CI] = 1.22−2.67]) and larger household size (RR = 1.56 [95% CI = 1.01−2.41]), whereas older child age (RR = 0.94 [95% CI = 0.88−1.00]), higher child MUAC at discharge (RR = 0.93 [95% CI = 0.87−1.00]) and maternal literacy (RR = 0.54 [95% CI = 0.29−0.98]) were protective factors. Discharge during the lean season (RR = 2.27 [95% CI = 1.46−3.51]) was independently associated with postdischarge hospitalisation. Future nutritional programmes in the context of Niger may consider modification of anthropometric discharge criteria or the provision of additional home support or follow-up during the lean season as potential interventions to prevent relapse. More research including postdischarge follow-up is needed to better understand the sustainability of treatment outcomes after discharge and the type of intervention that may best sustain recovery over time. Clinical Trial Registration: ClinicalTrials.gov number, NCT01613547.

This study was conducted in the rural Madarounfa Health District in the Maradi Region of Niger. Households are primarily subsistence farmers with food production linked to rain‐fed agriculture resulting in annual harvests of staple crops. In the months preceding this harvest, food quantity and quality decrease while infectious illnesses, such as diarrhoea, pneumonia and malaria, increase. These changes are associated with a seasonal peak in acute malnutrition among children under 5 years of age. The Maradi Region has some of the highest rates of acute malnutrition in Niger with a wasting prevalence among children under 5 years of age of 11% (Institut National de la Statistique, 2019), within the WHO ‘high’ prevalence category of 10%−15% (de Onis et al., 2019). Médecins Sans Frontières (MSF), in collaboration with the Ministry of Health of Niger, has supported paediatric care in the Madarounfa Health District since 2001. Project activities were transferred to local control and implemented through a Nigerien nongovernmental organisation, Forum Santé Niger (FORSANI) in collaboration with the Ministry of Health from 2009 to March 2014. FORSANI provided care and treatment to over 30,000 children in the Madarounfa Health District each year with MSF support. From October 2012 to November 2013, children aged 6−59 months with uncomplicated SAM (defined as weight‐for‐height Z‐score [WHZ] <−3 SD or mid‐upper arm circumference (MUAC) <115 mm) were enroled in a randomised controlled trial to examine the effect of routine antibiotic use on nutritional recovery from uncomplicated SAM. Study procedures have been described elsewhere (Isanaka et al., 2016, 2020). In brief, children were randomised to receive amoxicillin (80 mg/kg/day) or placebo for 7 days. Children were seen weekly at the health centre for a minimum of 3 and a maximum of 8 weeks until they reached nutritional recovery. Nutritional recovery was defined as WHZ ≥−2 SD and MUAC ≥115 mm and the absence of acute complications or bipedal oedema for at least 7 days, per the national protocol for integrated SAM management at the time of the study. Per the trial protocol, children had scheduled follow‐up visits at 4, 8 and 12 weeks post‐admission regardless of their treatment/recovery status. Caregivers were also invited to return to the health centres at any time in the event of a clinical deterioration. During each follow‐up visit, anthropometry (weight to the nearest 100 g; length in children <24 months of age or standing height in children ≥24 months of age to the nearest 0.1 cm; and MUAC to the nearest 0.1 cm) was assessed and a study physician performed a physical exam and took a medical history. All children received standard medical care for outpatient treatment of uncomplicated SAM as specified by the national guidelines of the Ministry of Health of Niger. At the time the parent trial was conducted, the standard of care involved the provision of a ready‐to‐use therapeutic food (170 kcal/kg/day), a single dose of vitamin A (100,000 UI for children <4 kg, 200,000 UI for children 4−8 kg and 400,000 UI for children ≥8 kg), a single dose of folic acid (5 mg tablet), deworming (200 mg of albendazole for children <8 and 400 mg for children ≥8 kg) and a measles vaccine if necessary (for children without a vaccination card at admission or at 9 months of age for children 6−8 months of age at admission). Malaria and/or anaemia treatment were also provided, if necessary. Further details on standard care in the parent trial have been previously published (Isanaka et al., 2016). At the time the parent trial was conducted, children received a protection ration at the time of discharge from SAM treatment consisting of seven sachets of a ready‐to‐use therapeutic food. There was no moderate acute malnutrition (MAM) treatment programme in the study area at the time of the parent trial. The primary outcomes of interest for this analysis were postdischarge SAM relapse (defined as WHZ <−3 SD, MUAC 38.5°C) and malaria with fever (positive rapid diagnostic test and axillary temperature >38.5°C). The analytic sample included 1490 children with WHZ ≥−2 SD and MUAC ≥115 mm discharged from the outpatient SAM treatment programme as recovered. The present analysis excluded 41 children who were discharged as ‘recovered’ but did not achieve both anthropometric criteria for discharge. First, to describe the burden of postdischarge relapse and hospitalisation, we reported the number and proportion of children with postdischarge events. Second, to explore whether children were immunologically recovered at the time of discharge, we compared the incidence of individual morbidities before and after discharge, assuming similar or increased morbidity postdischarge would suggest insufficient immunological recovery. The incidence of morbidity during and after discharge from treatment was examined using generalised estimating equations with an unstructured correlation matrix, a log‐Poisson link to derive incidence rate ratios and person‐time since admission as an offset. Third, to identify risk factors for postdischarge SAM relapse and hospitalisation, we considered individual and household characteristics at admission into the nutritional programme and case characteristics at admission and discharge. Child characteristics included child age, sex and breastfeeding status at admission. Household characteristics included household food insecurity score based on the Household Food Insecurity Access Scale (Coates et al., 2007), number of children in the household, whether the child slept under a bednet the previous night, household wealth (calculated using principal components analysis using nine items for household asset and livestock ownership, and housing quality), maternal age and literacy. Case characteristics included child anthropometry at admission and discharge: WHZ, height‐for‐age Z‐score (HAZ), stunting (HAZ <−2 SD), severe stunting (HAZ <−3 SD), weight‐for‐age Z‐score (WAZ), severe underweight (WAZ <−3 SD) and MUAC, calculated using the 2006 WHO child growth standards (World Health Organisation, 2006), and length of stay in the programme, weight gain during the programme (g/kg/day) and season at discharge (lean season: July to September vs. harvest season: October to June). We used log‐binomial models to identify independent risk factors for SAM relapse and hospitalisation. Crude models adjusted for the parent trial regimen (amoxicillin vs. placebo). Multivariable models adjusted for the trial regimen and for risk factors with a significant crude association at p < 0.20. Finally, to further explore the predictive value and optimal cut‐offs of WHZ and MUAC at discharge for SAM relapse and postdischarge hospitalisation at 12‐weeks since admission, we constructed receiver operating characteristic curves and calculated the area under the curve (AUC). AUCs were compared using a bootstrap test with 10,000 replications, which we considered significant at p < 0.05. While there are several ways to define ‘optimal’ cut‐offs for MUAC and WHZ at discharge to predict SAM relapse and hospitalisation, we defined the optimal cut‐off in this analysis using the Liu method which maximises the product of the sensitivity and specificity (Liu, 2012). Statistical analysis was conducted in R version 4.1.2. (R Development Core Team, 2017).

Based on the provided information, here are some potential innovations that could improve access to maternal health:

1. Mobile Health (mHealth) Applications: Develop mobile applications that provide pregnant women and new mothers with access to information, resources, and reminders for prenatal care, postnatal care, and child health. These apps can also include features such as appointment scheduling, medication reminders, and emergency contact information.

2. Telemedicine Services: Implement telemedicine services that allow pregnant women in remote areas to consult with healthcare providers through video calls or phone calls. This can help overcome geographical barriers and provide timely medical advice and support.

3. Community Health Workers: Train and deploy community health workers who can provide maternal health education, conduct regular check-ups, and facilitate referrals to healthcare facilities when necessary. These workers can play a crucial role in reaching underserved populations and improving access to maternal health services.

4. Maternal Health Vouchers: Introduce voucher programs that provide pregnant women with subsidized or free access to essential maternal health services, including antenatal care, delivery, and postnatal care. This can help reduce financial barriers and increase utilization of these services.

5. Transportation Support: Establish transportation support systems, such as ambulance services or transportation vouchers, to ensure that pregnant women can easily access healthcare facilities for prenatal care, delivery, and emergency obstetric care. This can address transportation challenges, particularly in rural areas.

6. Maternal Health Clinics: Set up dedicated maternal health clinics that offer comprehensive services, including antenatal care, skilled birth attendance, postnatal care, family planning, and breastfeeding support. These clinics can provide a one-stop solution for maternal health needs, making it more convenient for women to access care.

7. Maternal Health Education Programs: Develop and implement community-based maternal health education programs that focus on raising awareness about the importance of prenatal care, nutrition, hygiene, and safe delivery practices. These programs can empower women with knowledge and enable them to make informed decisions regarding their health and the health of their babies.

8. Public-Private Partnerships: Foster collaborations between the public and private sectors to improve access to maternal health services. This can involve leveraging private healthcare providers, facilities, and resources to expand service coverage and reduce the burden on public healthcare systems.

9. Maternal Health Financing Models: Explore innovative financing models, such as social health insurance or community-based health financing, to ensure sustainable funding for maternal health services. These models can help make services more affordable and accessible to a larger population.

10. Maternal Health Data Systems: Establish robust data systems to collect, analyze, and monitor maternal health indicators. This can enable evidence-based decision-making, resource allocation, and quality improvement efforts to enhance maternal health outcomes.

It’s important to note that the specific context and needs of the target population should be considered when implementing these innovations.
AI Innovations Description
The study conducted in rural Niger aimed to quantify the burden of relapse following successful treatment for uncomplicated severe acute malnutrition (SAM) in children and identify associated risk factors. The findings suggest several recommendations that can be used to develop innovations to improve access to maternal health:

1. Modification of anthropometric discharge criteria: The study found that discharge during the lean season was associated with a higher risk of SAM relapse. Therefore, future nutritional programs could consider modifying the anthropometric discharge criteria to account for seasonal variations in food availability and quality. This could help prevent relapse and ensure sustained recovery.

2. Provision of additional home support or follow-up during the lean season: In addition to modifying discharge criteria, providing additional home support or follow-up during the lean season could be an effective intervention to prevent relapse. This could include nutritional counseling, monitoring, and support for families to ensure continued access to adequate nutrition during challenging periods.

3. Maternal literacy: The study identified maternal literacy as a protective factor against SAM relapse. Promoting maternal literacy and education could have a positive impact on maternal health and child nutrition outcomes. Investing in educational programs for women could empower them to make informed decisions regarding their own health and the health of their children.

4. Post-discharge follow-up: The study highlights the need for post-discharge follow-up to better understand the sustainability of treatment outcomes and identify potential interventions to sustain recovery over time. Implementing post-discharge follow-up programs can help monitor the health and nutritional status of both mothers and children, provide necessary support, and intervene promptly if relapse occurs.

It is important to note that these recommendations are based on the findings of the specific study conducted in rural Niger. Further research and contextual adaptation may be necessary to implement these recommendations effectively in other settings.
AI Innovations Methodology
The study you provided focuses on the burden of relapse following successful treatment for uncomplicated severe acute malnutrition (SAM) in rural Niger. It aims to identify risk factors for relapse and explore potential interventions to prevent relapse. The methodology used in the study includes data analysis and statistical modeling. Here is a brief description of the methodology:

1. Study Population: The study included 1490 children aged 6-59 months who were discharged as recovered from an outpatient nutritional program for SAM in the Madarounfa Health District in Niger.

2. Data Collection: Data on the children’s anthropometry, household characteristics, and case characteristics were collected at admission and discharge. Follow-up visits were conducted at 4, 8, and 12 weeks post-admission.

3. Definition of Relapse and Hospitalization: Postdischarge SAM relapse was defined as weight-for-height Z-score < -3, mid-upper arm circumference (MUAC) < 115 mm, or bipedal edema after being discharged as recovered. Postdischarge hospitalization was defined as admission to inpatient SAM treatment or hospitalization for any cause after being discharged as recovered.

4. Data Analysis: Multivariate log-binomial models were used to identify independent risk factors for SAM relapse and hospitalization. The models adjusted for various factors, including child characteristics, household characteristics, and case characteristics.

5. Statistical Measures: Incidence rate ratios (IRRs) were calculated to compare the incidence of morbidities before and after discharge. Receiver operating characteristic (ROC) curves were constructed to explore the predictive value of anthropometric measures (WHZ and MUAC) at discharge for SAM relapse and postdischarge hospitalization.

6. Statistical Software: The statistical analysis was conducted using R version 4.1.2.

The study findings identified factors associated with SAM relapse and hospitalization, such as discharge during the lean season and larger household size. The study suggests potential interventions, such as modifying discharge criteria or providing additional home support during the lean season, to prevent relapse.

It’s important to note that this methodology is specific to the study described and may vary depending on the research question and study design in other contexts.

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