Maternal HIV infection and other factors associated with growth outcomes of HIV-uninfected infants in Entebbe, Uganda

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Study Justification:
– The study aimed to assess the associations between maternal HIV infection and growth outcomes of HIV-exposed but uninfected infants.
– The study also aimed to identify other predictors for poor growth among this population.
– The findings of the study would provide valuable information for the development of viable nutritional interventions for this population.
Study Highlights:
– The study was conducted in Entebbe municipality and Katabi sub-county, Uganda.
– The sample consisted of 1502 children aged 1 year: HIV-unexposed (n 1380) and HIV-exposed not infected (n 122).
– Prevalence of stunting, underweight, and wasting was 14.2%, 8.0%, and 3.9%, respectively.
– Maternal HIV infection was associated with being underweight in HIV-exposed uninfected infants.
– Other predictors for stunting and underweight included young maternal age, low maternal education, low birth weight, early weaning, and experiencing a higher number of episodes of malaria during infancy.
– A higher number of living children in the family was associated with wasting.
Recommendations:
– Viable nutritional interventions need to be identified for HIV-exposed but uninfected infants born to HIV-infected women.
– Programs for prevention of mother-to-child HIV transmission should continue to be successful in reducing HIV transmission rates.
– Attention should be given to addressing the predictors for poor growth identified in the study, such as young maternal age, low maternal education, low birth weight, early weaning, and episodes of malaria during infancy.
Key Role Players:
– Researchers and scientists in the field of maternal and child health
– Healthcare providers and policymakers
– Non-governmental organizations (NGOs) working in maternal and child health
– Community health workers and volunteers
– Government health departments and ministries
Cost Items for Planning Recommendations:
– Research and data collection expenses
– Training and capacity building for healthcare providers and community health workers
– Development and implementation of nutritional interventions
– Monitoring and evaluation of interventions
– Awareness campaigns and education materials
– Healthcare infrastructure and equipment
– Support for HIV-positive women and their infants, including access to antiretroviral therapy and prophylaxis for opportunistic infections

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study design is observational, which limits the ability to establish causation. Additionally, the sample size is relatively small, which may affect the generalizability of the findings. To improve the strength of the evidence, future studies could consider using a larger sample size and a randomized controlled trial design to establish causation.

Objective To assess the associations between maternal HIV infection and growth outcomes of HIV-exposed but uninfected infants and to identify other predictors for poor growth among this population. Design Within a trial of de-worming during pregnancy, the cohort of offspring was followed from birth. HIV status of the mothers and their children was investigated and growth data for children were obtained at age 1 year. Length-for-age, weight-for-age and weight-for-length Z-scores were calculated for each child; Z-scores <-2 were defined as stunting, underweight and wasting, respectively. Setting The study was conducted in Entebbe municipality and Katabi sub-county, Uganda. Subjects The sample consisted of 1502 children aged 1 year: HIV-unexposed (n 1380) and HIV-exposed not infected (n 122). Results Prevalence of stunting, underweight and wasting was 14·2 %, 8·0 % and 3·9 %, respectively. There was evidence for an association between maternal HIV infection and odds of being underweight (adjusted OR = 2·32; 95 % CI 1·32, 4·09; P = 0·006) but no evidence for an association with stunting or with wasting. Young maternal age, low maternal education, low birth weight, early weaning and experiencing a higher number of episodes of malaria during infancy were independent predictors for stunting and underweight. A higher number of living children in the family was associated with wasting. Conclusions Maternal HIV infection was associated with being underweight in HIV-exposed uninfected infants. The success of programmes for prevention of mother-to-child HIV transmission means that an increasing number of infants will be born to HIV-infected women without acquiring HIV. Therefore, viable nutritional interventions need to be identified for this population. Copyright © The Authors 2013. The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence . The written permission of Cambridge University Press must be obtained for commercial re-use. The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence . The written permission of Cambridge University Press must be obtained for commercial re-use..

The study was conducted in Entebbe municipality and Katabi sub-county as previously described( 16 ). It was a randomized, double-blind, placebo-controlled trial of anthelminthics in pregnancy, using albendazole v. placebo and praziquantel v. placebo in a 2 × 2 factorial design. The study was originally designed to examine effects of anthelminthic treatment during pregnancy on infant responses to immunization and infectious disease incidence. Results of the trial have been reported elsewhere and no effect of the trial intervention on growth parameters was observed( 17 , 18 ). The study results reported herein represent a retrospective observational analysis of differences in growth at 1 year of age between HIV-exposed but uninfected infants and infants born to women who were HIV-negative. Socio-economic, maternal and infant characteristics were also evaluated for associations with growth outcomes at 1 year of age. Women were recruited at the antenatal clinic at Entebbe Hospital between April 2003 and November 2005. They were eligible if they were well, resident in the study area, planning to deliver their baby at the hospital, willing to participate and willing to know their HIV status; and excluded if they had Hb <8 g/dl, clinically apparent severe liver disease, diarrhoea with blood in the stool, abnormal pregnancy, history of adverse reaction to anthelminthic drugs or had participated in the study during an earlier pregnancy. Following delivery, children were followed up according to the study protocol. Morbidity data were collected prospectively at the research clinic. Malaria was diagnosed as fever (≥37·5°C) with Plasmodium falciparum parasitaemia. Data on asymptomatic parasitaemia were collected annually. Study nurses were trained on how to take and record the anthropometric measurements. Weight measurements for 1-year-olds were taken using CMS Weighing Equipment, model MP25 (Chasmors Ltd, London, UK). The children were lightly dressed wearing undergarments only, and wore a measuring trouser which was then suspended on a weighing scale. Measurement of recumbent length at age 1 year was done using an adjustable child-length measuring board (Seca; Vogel & Halke, Hamburg, Germany). In 2002, prior to the start of the study, the research team in collaboration with Entebbe Hospital established a programme for prevention of mother-to-child HIV transmission at the hospital. In accordance with guidelines current at the time( 19 ), women identified as HIV-positive were offered a single dose of nevirapine for themselves and their infants, to be taken during labour and after delivery, respectively. HIV-positive women were provided with cotrimoxazole daily for prophylaxis of opportunistic infections; HIV-exposed infants were provided with cotrimoxazole syrup from age 6 weeks until their HIV status was assessed at age 18 months; at this time, cotrimoxazole was discontinued for HIV-negative children. HIV-positive infants were referred for care at nearby specialist centres. Highly active antiretroviral therapy (HAART) for treatment was not widely available in Uganda at the time when women were recruited to the study; however, five HIV-positive women were recorded as taking HAART during pregnancy. Mothers’ HIV status was assessed by a rapid test algorithm before delivery as previously described( 20 ). Vertical HIV transmission was diagnosed by RNA and DNA PCR at age 6 weeks as previously described( 18 ) and by rapid test at age 18 months. Infants were regarded as being HIV-positive if the 6-week sample had a positive DNA PCR for any of the viral regions examined and a viral load of 1000 copies per millilitre or more, or if the rapid test at 18 months of age was positive. Blood samples were obtained from HIV-infected pregnant women. CD4 cell counts were ordered as part of the baseline measurement and done using a BD FACScount™ flow cytometer (Becton Dickinson, San Jose, CA, USA). Maternal immunological status was dichotomized based upon results of CD4 testing performed at enrolment, with women having a CD4 count of ≤350 cells/mm3 being categorized as having poor immunological status. The outcome variables for the present study were the three continuous anthropometric measures, length-for-age Z-score (LAZ), weight-for-age Z-score (WAZ) and weight-for-length Z-score (WLZ), derived by importing growth parameters into WHO Anthro software version 3 (April 2009). The continuous value of each of the three anthropometric measures was also used to derive three binary variables reflecting the presence or absence of a Z-score <−2, i.e. stunting (LAZ <−2), underweight (WAZ <−2) and wasting (WLZ <−2), which were then also used as dependent variables for the study objectives. Data management was done using the Microsoft® Access database designed for the anthelminthic trial. Statistical analyses were performed using the STATA statistical software package version 10. The second( 17 ) or third infant( 1 ) in a twin or triplet pregnancy was excluded from the analysis but five women on HAART were retained. In order to evaluate the associations between HIV exposure, other factors and growth outcomes, we used as response variables the continuous Z-scores and the binary variables for stunting, underweight and wasting defined above. Univariable analysis was first performed. For the continuous outcomes linear regression was used to investigate whether HIV exposure and other risk factors were associated with the mean Z-score; mean differences in Z-score and 95 % confidence intervals were used to quantify the association between each risk factor and growth. For the binary outcomes, logistic regression was used to investigate whether HIV exposure and other risk factors were associated with the prevalence of stunting, underweight and wasting; odds ratios were used to quantify the association between each risk factor and poor growth. Multivariable analyses were then conducted investigating factors considered likely to be potential confounders, including maternal age, maternal education, maternal income, household socio-economic status (a score based on building materials, number of rooms and items owned) and episodes of malaria during infancy; variables assumed to be potential confounders and variables that presented a P value of <0·05 in the univariable analysis were included in multivariable regression models. Significance levels in the final model were determined using likelihood ratio tests. A similar approach was used to investigate other risk factors for stunting, underweight and wasting in this population. The following factors were considered: sex of the child, low birth weight, low maternal CD4 cell count, number of living children in the family and early weaning (defined as introducing cow's milk at or before the age of 6 weeks).

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

1. Mobile health (mHealth) interventions: Develop mobile applications or text messaging services to provide pregnant women with information on prenatal care, nutrition, and HIV prevention. These interventions can also be used to send reminders for appointments and medication adherence.

2. Telemedicine: Implement telemedicine programs to provide remote consultations and support for pregnant women in rural areas. This can help overcome geographical barriers and improve access to healthcare services.

3. Community health workers: Train and deploy community health workers to provide education, counseling, and support to pregnant women in their communities. These workers can help identify and address barriers to accessing maternal health services.

4. Integrated care models: Implement integrated care models that combine maternal health services with HIV testing and treatment. This can ensure that HIV-positive pregnant women receive comprehensive care and support for both their maternal and HIV-related needs.

5. Task-shifting: Train and empower non-specialist healthcare providers, such as nurses and midwives, to deliver certain aspects of maternal health care. This can help alleviate the shortage of skilled healthcare professionals and improve access to essential services.

6. Public-private partnerships: Foster collaborations between public and private sectors to improve access to maternal health services. This can involve leveraging private sector resources and expertise to expand service delivery and reach underserved populations.

7. Health financing innovations: Explore innovative financing mechanisms, such as microinsurance or conditional cash transfer programs, to reduce financial barriers to accessing maternal health services. This can help ensure that cost is not a barrier for pregnant women seeking care.

8. Quality improvement initiatives: Implement quality improvement initiatives to enhance the quality of maternal health services. This can involve training healthcare providers, improving infrastructure and equipment, and implementing evidence-based guidelines and protocols.

9. Community engagement: Engage communities in the design and delivery of maternal health services. This can help increase awareness, reduce stigma, and promote community ownership and support for maternal health initiatives.

10. Data-driven decision-making: Use data and technology to inform decision-making and improve the efficiency and effectiveness of maternal health programs. This can involve using data analytics to identify gaps in service delivery, monitor outcomes, and target interventions to those most in need.
AI Innovations Description
Based on the study described, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Implement targeted nutritional interventions: Since maternal HIV infection was associated with being underweight in HIV-exposed uninfected infants, it is important to identify viable nutritional interventions for this population. Develop and implement targeted nutritional interventions specifically designed for HIV-exposed uninfected infants to improve their growth outcomes. These interventions should focus on providing adequate and appropriate nutrition to address the specific needs of this population.

2. Strengthen maternal education and support: The study identified young maternal age and low maternal education as predictors for poor growth outcomes. To address this, implement programs that focus on strengthening maternal education and support. Provide comprehensive education and support programs for pregnant women and new mothers, including information on proper nutrition, infant feeding practices, and overall maternal and child health. These programs can be delivered through antenatal clinics, community health centers, and mobile health services.

3. Improve access to healthcare services: Access to healthcare services is crucial for maternal and child health. Enhance access to healthcare services by improving the availability and affordability of maternal and child health services in the study area. This can be achieved by increasing the number of healthcare facilities, ensuring the availability of essential medicines and supplies, and reducing financial barriers to accessing healthcare through health insurance schemes or subsidies.

4. Strengthen malaria prevention and control: The study identified a higher number of episodes of malaria during infancy as a predictor for poor growth outcomes. Strengthen malaria prevention and control measures in the study area to reduce the burden of malaria on maternal and child health. This can include measures such as distribution of insecticide-treated bed nets, indoor residual spraying, and provision of antimalarial medications.

5. Foster collaboration and coordination: To effectively improve access to maternal health, it is important to foster collaboration and coordination among various stakeholders, including healthcare providers, government agencies, non-governmental organizations, and community-based organizations. Establish partnerships and coordination mechanisms to ensure that efforts are aligned, resources are optimized, and interventions are implemented in a coordinated and sustainable manner.

By implementing these recommendations, it is possible to develop innovative approaches to improve access to maternal health and address the specific challenges faced by HIV-exposed uninfected infants in the study area.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthening HIV prevention and treatment programs: Given the association between maternal HIV infection and underweight infants, it is crucial to enhance existing programs for preventing mother-to-child transmission of HIV. This includes providing antiretroviral therapy to HIV-positive pregnant women, ensuring access to HIV testing and counseling, and promoting adherence to medication regimens.

2. Nutritional interventions: Identifying viable nutritional interventions for HIV-exposed but uninfected infants is essential. This could involve providing specialized nutritional support, such as fortified foods or supplements, to improve the growth outcomes of these infants.

3. Improving maternal education and socioeconomic status: Young maternal age, low maternal education, and low household socioeconomic status were identified as predictors for poor growth outcomes. Therefore, efforts should be made to enhance maternal education and socioeconomic conditions, which can positively impact maternal and child health.

4. Malaria prevention and control: The study found that experiencing a higher number of episodes of malaria during infancy was associated with stunting and underweight. Implementing effective malaria prevention and control strategies, such as insecticide-treated bed nets and antimalarial medications, can help reduce the burden of malaria and improve maternal and child health outcomes.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could involve the following steps:

1. Collect baseline data: Gather data on the current status of maternal health, including maternal HIV infection rates, growth outcomes of HIV-exposed but uninfected infants, and other relevant factors such as maternal age, education, socioeconomic status, and malaria incidence.

2. Define indicators: Identify specific indicators that reflect access to maternal health, such as the proportion of pregnant women receiving HIV testing and counseling, the percentage of HIV-positive pregnant women receiving antiretroviral therapy, and the prevalence of stunting and underweight among HIV-exposed but uninfected infants.

3. Develop a simulation model: Create a mathematical or statistical model that incorporates the baseline data and simulates the impact of the recommended interventions on the defined indicators. This model should consider the potential interactions and dependencies between the different interventions and factors.

4. Input intervention scenarios: Input different scenarios into the simulation model to assess the potential impact of each recommendation. For example, simulate the effect of scaling up HIV prevention and treatment programs, implementing nutritional interventions, improving maternal education and socioeconomic status, and enhancing malaria prevention and control efforts.

5. Analyze results: Analyze the simulation results to determine the potential impact of each intervention scenario on the defined indicators. Compare the outcomes of different scenarios to identify the most effective combination of interventions for improving access to maternal health.

6. Refine and validate the model: Continuously refine and validate the simulation model based on new data and feedback from experts in the field. This will ensure that the model accurately represents the real-world dynamics and can provide reliable predictions for decision-making.

By using this methodology, policymakers and healthcare providers can gain insights into the potential impact of different interventions on improving access to maternal health. This information can guide the allocation of resources and the development of targeted strategies to address the specific challenges faced in maternal health care.

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