Social, dietary and clinical correlates of oedema in children with severe acute malnutrition: A cross-sectional study

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Study Justification:
This study aimed to investigate the socio-demographic, dietary, and clinical factors associated with oedema in children with severe acute malnutrition (SAM). Understanding these factors can help clinicians better manage and prevent oedematous malnutrition, which is a serious public health problem.
Study Highlights:
– 120 children with severe acute malnutrition were included in the study, with 64% presenting with oedematous malnutrition.
– Oedematous children were slightly older and less likely to be breastfed, HIV-infected, or have symptoms of cough, fever, or high temperature.
– Household dietary diversity score was lower in children with oedema.
– No association was found with plasma levels of acute phase proteins, household food insecurity, or birth weight.
Study Recommendations:
Based on the findings, the study recommends:
– Promoting breastfeeding as a protective factor against oedematous malnutrition.
– Ensuring access to HIV testing and treatment for children with severe acute malnutrition.
– Improving household dietary diversity to prevent oedema in children with malnutrition.
– Further research to confirm the causal relationship between these factors and nutritional oedema.
Key Role Players:
To address the recommendations, key role players may include:
– Healthcare providers and clinicians involved in the treatment and management of severe acute malnutrition.
– Public health officials and policymakers responsible for implementing nutrition programs and policies.
– Community health workers and nutrition educators who can promote breastfeeding and dietary diversity.
– HIV testing and treatment services providers.
Cost Items for Planning Recommendations:
While the actual cost may vary, some budget items to consider when planning the recommendations include:
– Training and capacity building for healthcare providers on managing severe acute malnutrition and promoting breastfeeding.
– Development and implementation of nutrition education programs targeting caregivers and communities.
– Provision of HIV testing and treatment services for children with severe acute malnutrition.
– Monitoring and evaluation of nutrition programs to assess their effectiveness and impact.
– Research funding for further studies to confirm the causal relationship between the identified factors and oedematous malnutrition.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong because it is based on a cross-sectional study with a large sample size (120 children) and multiple logistic regression analysis. The study collected data using questionnaires, clinical examination, and measurement of various biomarkers. The results show significant associations between oedema and factors such as breastfeeding, HIV infection, symptoms of other infections, and dietary diversity. However, to improve the evidence, future research could include a longitudinal design to establish causal relationships between these factors and nutritional oedema.

Background: Severe acute malnutrition is a serious public health problem, and a challenge to clinicians. Why some children with malnutrition develop oedema (kwashiorkor) is not well understood. The objective of this study was to investigate socio-demographic, dietary and clinical correlates of oedema, in children hospitalised with severe acute malnutrition. Methods: We recruited children with severe acute malnutrition admitted to Mulago Hospital, Uganda. Data was collected using questionnaires, clinical examination and measurement of blood haemoglobin, plasma c-reactive protein and α1-acid glycoprotein. Correlates of oedema were identified using multiple logistic regression analysis. Results: Of 120 children included, 77 (64%) presented with oedematous malnutrition. Oedematous children were slightly older (17.7 vs. 15.0 months, p = 0.006). After adjustment for age and sex, oedematous children were less likely to be breastfed (odds ratio (OR): 0.19, 95%-confidence interval (CI): 0.06; 0.59), to be HIV-infected (OR: 0.10, CI: 0.03; 0.41), to report cough (OR: 0.33, CI: 0.13; 0.82) and fever (OR: 0.22, CI: 0.09; 0.51), and to have axillary temperature > 37.5°C (OR: 0.28 CI: 0.11; 0.68). Household dietary diversity score was lower in children with oedema (OR: 0.58, CI: 0.40; 85). No association was found with plasma levels of acute phase proteins, household food insecurity or birth weight. Conclusion: Children with oedematous malnutrition were less likely to be breastfed, less likely to have HIV infection and had fewer symptoms of other infections. Dietary diversity was lower in households of children who presented with oedema. Future research may confirm whether a causal relationship exists between these factors and nutritional oedema.

This cross-sectional study is based on baseline data from a cohort study of children admitted for in-hospital treatment of SAM, between October 2012 and February 2013. Mwanamugimu Nutrition Unit, Mulago Hospital, Uganda, is the main national rehabilitation centre for children with complicated SAM. Patients were treated following the Ugandan National Protocol for Integrated Management of Acute Malnutrition [14] using therapeutic diets, F75 and F100, and empiric parenteral antibiotics, followed by outpatient treatment with ready-to-use therapeutic food. At the time of the study, the outpatient clinic was only working one day per week, so referred children were not routinely assessed with appetite tests to determine whether they should receive in-patient or out-patient treatment. However, all admissions came through the hospitals acute care unit, meaning that all children had been evaluated sick enough to require hospital admission. All biological mothers were offered counselling and testing for HIV, following World Health Organization (WHO) guidelines [15]. If the mother was HIV-infected or absent, the child was tested. Children were eligible if they were admitted on weekdays for treatment of SAM, defined as either weight-for-height z-score < −3, using the WHO Growth Standard, or mid-upper arm circumference (MUAC) < 11.5 cm, or bilateral pedal pitting oedema. Children had to be 6–59 months old, live near the hospital, and their parent or guardian had to give informed consent. Children were excluded if they had significant disability (like cerebral palsy); shock or severe respiratory distress requiring resuscitation at admission; haemoglobin < 4 g/dl, or a body weight < 4.5 kg. Caretakers were asked about the household where the child had lived during the two months preceding admission, about the child’s breast-feeding history and symptoms present. Caretakers were asked to state which one of their child’s symptoms they perceived as most severe. If the mother was present, she was asked to recall the child’s birth weight. Dietary data was collected by asking about whether seven types of high-quality foods were served in the household during the last two weeks (Additional file 1: Figure S1). The foods were locally available, but likely in limited amounts in resource-poor households. From this, a simple dietary diversity score (DDS) was calculated, as the sum of different food types served. Food insecurity was evaluated using the validated Household Food Insecurity Access Scale (HFIAS) [16]. The scale consists of nine questions regarding perceived food insecurity, each with four frequency options, from “never” to “more than ten times in the past four weeks”. A HFIAS score from 0–27 was calculated, and households classified as having no, mild, moderate, or severe food insecurity. On admission, oedema was diagnosed according to guidelines [17], and axillary temperature was measured. Anthropometric measurements were done by one nurse, trained in anthropometry, assisted by the child’s caretaker. Measurements were done in triplicate, and the average of three measurements was used. Length was measured using an infant length board and MUAC using measuring tape, both to the nearest 1 mm. Body weight was measured daily to the nearest 100 g using a digital scale. Anthropometric z-scores were computed in Stata using the command “zscore06” based on the 2006 WHO Growth Standards [18]. The lowest weight recorded during admission was used to compute z-scores for all children, to use the weight free from oedema. Maternal weight was measured using a digital scale with a precision of 100 g and height measured with a precision of 1 mm using a wall-mounted stadiometer. We did not by default remove extreme anthropometric values, but it was checked that they were likely to be real, by being present on different days, and by being in accordance with other measurements (e.g. those with extreme z-scores also had very low MUAC). To assess appetite, it was noted whether the child consumed all of the first served F75, or not. On admission, haemoglobin was measured in venous blood collected in heparinized Vacutainer tubes, using HemoCue (Hb 201+, Ängelholm, Sweden). Plasma was obtained from a Vacutainer with citrate (Cell-Preparation Tube, Becton Dickinson, USA), stored at -80C°, until shipped to Denmark on dry ice, where plasma (P-) level of C-reactive protein (CRP) and α1-acid glycoprotein (AGP) was measured at University of Copenhagen, Department of Nutrition, Exercise and Sports, with ABX Pentra 400 (Horiba, France). The study was approved by Makerere University School of Medicine’s Research Ethics Committee, and Uganda National Council of Science and Technology. A consultative approval was obtained from the Danish National Board of Research Ethics. Parents or guardians willing to participate signed a written informed consent form, after oral and written information in English and Luganda. Participation in the study did not affect the medical and nutritional treatment, which was similar to that given to admitted children not included in the study. Data was double entered into EpiData (Odense, Denmark) and analysed using Stata 12 (StataCorp LP, College station, USA). To test differences in means between groups, t-tests were used for normally distributed variable, and for others (age, CRP, DDS and HFIAS score), Mann–Whitney rank-sum-tests were used. Chi-square tests were used to test for differences in proportions between groups. For analysis of CRP, children were classified as having CRP levels above or below 10 mg/L. The relationship between CRP and body temperature was examined with linear regression using the log-transformed CRP values. Correlates of oedema were identified using logistic regression, unadjusted and adjusted for sex and age in months, and results presented as odds ratios (OR) with 95% confidence intervals (CI). Additionally, background and clinical characteristics were analysed adjusted for age, sex, HIV-status, and breastfeeding status. Dietary factors and food insecurity were also analysed adjusting for age, sex, breastfeeding status and for month of inclusion, to account for seasonality.

Based on the description provided, it seems that the study is focused on identifying socio-demographic, dietary, and clinical factors associated with oedema in children with severe acute malnutrition. The goal is to improve understanding of the condition and potentially develop interventions to prevent or treat oedematous malnutrition.

In terms of innovations that could be used to improve access to maternal health, here are a few potential recommendations:

1. Mobile Health (mHealth) Solutions: Develop mobile applications or text messaging services that provide information and reminders to pregnant women and new mothers about proper nutrition, breastfeeding, and healthcare appointments. These tools can help improve access to important maternal health information, especially in remote or underserved areas.

2. Telemedicine: Implement telemedicine programs that allow pregnant women and new mothers to remotely consult with healthcare providers. This can help overcome barriers to accessing healthcare, such as long distances or lack of transportation, by enabling virtual consultations and follow-up care.

3. Community Health Workers: Train and deploy community health workers who can provide education, support, and basic healthcare services to pregnant women and new mothers in their own communities. These workers can help bridge the gap between healthcare facilities and the community, improving access to maternal health services.

4. Nutritional Support Programs: Develop and implement programs that provide nutritional support to pregnant women and new mothers, particularly those at risk of malnutrition. This can include providing nutrient-rich foods, supplements, or fortified products to improve maternal and child health outcomes.

5. Health Education Campaigns: Launch targeted health education campaigns to raise awareness about the importance of maternal health and nutrition. These campaigns can be conducted through various channels, such as radio, television, social media, and community events, to reach a wide audience and promote behavior change.

It’s important to note that these recommendations are general and may need to be tailored to the specific context and needs of the population being served. Additionally, further research and evaluation would be necessary to determine the effectiveness and feasibility of implementing these innovations.
AI Innovations Description
Based on the description provided, the recommendation to improve access to maternal health would be to conduct further research to investigate the relationship between oedema in children with severe acute malnutrition and maternal health factors such as breastfeeding, HIV infection, and household dietary diversity. This research could help identify potential interventions or strategies to prevent or manage oedema in children with malnutrition, ultimately improving maternal and child health outcomes. Additionally, it would be beneficial to explore the impact of social and economic factors, such as household food insecurity, on the development of oedema in children with malnutrition. By understanding the correlates of oedema in this population, healthcare providers and policymakers can develop targeted interventions and programs to improve access to maternal health services and prevent malnutrition-related complications.
AI Innovations Methodology
Based on the provided information, it seems that you are looking for recommendations to improve access to maternal health. However, the description you provided is related to a study on severe acute malnutrition in children, rather than maternal health. If you could provide more specific information or clarify your request, I would be happy to assist you in finding relevant recommendations or methodologies to improve access to maternal health.

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