Formula-Feeding of HIV-Exposed Uninfected African Children Is Associated with Faster Growth in Length during the First 6 Months of Life in the Kesho Bora Study

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Study Justification:
This study aimed to investigate the association between infant feeding mode and growth in HIV-exposed African children. The findings of this study have important implications for the health and well-being of HIV-exposed children, as well as for policy and guidelines on infant feeding.
Highlights:
– Formula-fed infants showed faster growth in length during the first 6 months of life compared to exclusively breastfed infants.
– Both formula feeding and exclusive breastfeeding for less than 3 months were associated with greater mean length-for-age z scores (LAZ) between 6 and 18 months compared to exclusive breastfeeding for 3 months or more.
– Formula feeding was independently associated with a reduced risk of stunting at 6 months in children who were not stunted at 2 days old.
Recommendations:
Based on the findings of this study, the following recommendations can be made:
1. Consideration should be given to promoting formula feeding as an alternative to exclusive breastfeeding for HIV-exposed infants, particularly during the first 6 months of life, to support optimal growth.
2. Further research is needed to explore the long-term effects of different infant feeding modes on the health and development of HIV-exposed children.
3. Policy makers and healthcare providers should review and update guidelines on infant feeding for HIV-exposed infants, taking into account the findings of this study.
Key Role Players:
To address the recommendations, the following key role players are needed:
1. Policy makers: Responsible for reviewing and updating guidelines on infant feeding for HIV-exposed infants.
2. Healthcare providers: Responsible for implementing and promoting the updated guidelines and providing appropriate counseling and support to HIV-infected pregnant women.
3. Researchers: Responsible for conducting further research to explore the long-term effects of different infant feeding modes on HIV-exposed children.
Cost Items for Planning Recommendations:
The following cost items should be considered in planning the recommendations:
1. Training and capacity building for healthcare providers on updated guidelines and counseling techniques.
2. Development and dissemination of educational materials for healthcare providers and HIV-infected pregnant women.
3. Monitoring and evaluation of the implementation of the updated guidelines.
4. Research funding for further studies on the long-term effects of different infant feeding modes.
Please note that the cost items provided are general categories and not actual cost estimates. Actual costs will vary depending on the specific context and implementation strategies.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a controlled randomized trial, which is a strong study design. However, the abstract does not provide information on the sample size, statistical power, or potential limitations of the study. To improve the evidence, the abstract could include these details and discuss any potential biases or confounding factors that may have influenced the results.

Background: Early feeding patterns may affect the growth of HIV-exposed children and thus their subsequent health and cognition.Objective: We assessed the association of infant feeding (IF) mode with length-for-age z score (LAZ) and stunting from age 2 d to 18 mo in HIV-exposed African children within a controlled randomized trial, which evaluated triple antiretrovirals initiated during pregnancy and continued for 6 mo postpartum to prevent HIV transmission.Methods: HIV-infected pregnant women with CD4+ counts of 200-500 cells/mm3 from Burkina Faso, Kenya, and South Africa were advised to exclusively breastfeed for up to 6 mo or to formula-feed from birth. Factors associated with LAZ were investigated in all uninfected children by using mixed-effects linear models; those associated with stunting (LAZ <-2) at 6 or 12 mo were assessed in multiple logistic regression after exclusion of children stunted at age 2 d. Independent variables were IF mode: formula feeding (FF), exclusive breastfeeding (EBF) <3 mo, or EBF ≥3 mo (reference); sex; trial arm; maternal characteristics; and site.Results: Among 728 children, FF was associated with a greater increase in LAZ from 2 d to 6 mo (+0.07 z score/mo, P < 0.001). Between 6 and 18 mo, FF and EBF <3 mo were both associated with greater mean LAZ than was EBF ≥3 mo (+0.52 z scores and +0.43 z scores, respectively, P < 0.001). Among children not stunted at 2 d, FF was independently associated with a reduced risk of stunting at 6 mo (OR: 0.24; 95% CI: 0.07, 0.81; P = 0.021), whereas EBF <3 mo was not (OR: 0.49; 95% CI: 0.22, 1.10; P = 0.09).Conclusions: In this observational study of HIV-exposed uninfected infants, growth in length in the first 6 mo of life was faster in formula-fed infants than in exclusively breastfed infants. The plausibility of residual confounding and reverse causality is discussed. This trial was registered at www.controlled-trials.com as ISRCTN71468401.

The Kesho Bora RCT was designed to test the efficacy of an intervention to reduce mother-to-child transmission (MTCT) of HIV and to increase infant and maternal survival (13). The intervention group received a combination of 3 antiretroviral drugs from 28 to 36 wk of gestation until 6 mo postpartum (or breastfeeding cessation, if earlier). The control group received a standard short-course MTCT-preventive antiretroviral regimen (13). Women were recommended to either breastfeed exclusively up to 6 mo postpartum or formula-feed from delivery, in accordance with WHO recommendations and national guidelines at the time (14, 15). All live-born singletons or first-born twins of enrolled women were included in the present analysis if they had ≥1 length measurement, were HIV-uninfected at the end of follow-up, and had no missing data for potentially confounding factors (i.e., study site, RCT arm, sex, wealth indicator, maternal education, height, and BMI). The study was conducted in Bobo-Dioulasso, Burkina Faso; Nairobi and Mombasa, Kenya; and Durban and a rural area of KwaZulu-Natal, South Africa. Enrollment started in January 2005 in the 3 former sites and in February and September 2007 in Durban and in Somkhele, rural KwaZulu-Natal, respectively. Enrollment was completed in August 2008 and follow-up in December 2010, respectively (13). Ethical clearance was given by the ethical and regulatory committees in Burkina Faso, Kenya, and South Africa, and at the WHO and CDC. The study was conducted in accordance with the Helsinki Declaration of 1975, as revised in 1983, and all women provided written, informed consent. Pregnant, HIV-infected women at 3 or LAZ <−6) were excluded. Stunting was defined as LAZ <−2 and wasting as weight-for-length z score (WLZ) <−2. IF was divided into 3 groups: never breastfed (i.e., exclusively formula-fed from birth), duration of exclusive breastfeeding (EBF) <3 mo, or EBF ≥3 mo (6, 7). Breastfed children who died or were lost to follow-up before 3 mo were classified as EBF <3 mo, as were those who were breastfed but not exclusively. Maternal education was divided into 3 groups (none, some primary, and some secondary), and maternal height was divided into 4 arbitrarily defined categories (Table 1). Maternal postpartum BMI was computed by using the weight measurement taken at 4 wk postpartum or, if missing, at 6 or 8 wk. BMI (in kg/m2) was divided into mild underweight, lower-normal range, upper-normal range, and overweight-obese (25, respectively), because the prevalence of true underweight (i.e., BMI <18.5) was very low (20). Maternal CD4+ cell count at inclusion was divided into 2 groups, i.e., 200–349 and 350–500 cells/mm3. Selected household possessions (refrigerator, radio, television, cell phone) and characteristics of housing (access to gas or electricity for cooking, clean drinking water, electricity, flush toilets, and sharing of toilets with persons from outside the household) were used to compute a summary economic score by multiple correspondence analysis. All children had complete data for these variables. Site-specific tertiles were used in the analysis (6). Characteristics of women and children in the Kesho Bora RCT by IF modality1 Low birth weight was defined as birth weight <2500 g. Gestational age at delivery was defined as gestational age at enrollment plus the number of weeks of follow-up before delivery. Because of a high rate of unreliable values (e.g., ≥44 wk), this variable was not used in the analysis. Maternal and child characteristics were compared across IF modalities and study sites by using chi-square or Fisher’s exact tests. Adjustment for study site in the analysis of IF modalities was carried out by using Cochran-Mantel-Haenszel tests. Chi-square tests and Cochran-Mantel-Haenszel tests were used to compare children with a length measurement at age 18 mo and those who stopped follow-up between 12 and 18 mo. Factors potentially associated with the hazards of becoming stunted at 6 or 12 mo for children not stunted at age 2 d were assessed in multiple logistic regression analysis. The main explanatory variable was IF, and the analysis was adjusted for the RCT arm, sex, and study site and maternal height, BMI, and wealth index (all categorical). Children already stunted at age 2 d were excluded from this analysis because early neonatal stunting cannot be attributed to IF. The existence of effect modification by study site was tested through the introduction of an interaction term between site and IF in a separate logistic regression model. Mixed-effects linear models (MLMs) with an autoregressive covariance structure were used to examine the associations between IF modality and LAZ. These analyses included all children, irrespective of stunting status at age 2 d. Models included random intercepts for each participant. Linearity was determined graphically. Potential confounding factors were RCT arm, study site, and infant sex and maternal height, postpartum BMI, level of education, CD4+ cell count at inclusion, and wealth index. The age intervals of 2 d to 6 mo and 6–18 mo were considered separately per protocol. Again, effect modification by study site was tested by the introduction of an interaction term between study site and IF in separate models. For each independent variable, MLMs provide 2 coefficients, β0 and β1. The former estimates the difference between a given category and its reference category at the start of the interval, whereas the latter assesses whether this difference is constant over time through an interaction term with age. If significant, the latter indicates that the slope of the category under study differs from that of the reference category. The estimated difference of a category with the reference at time 1 thus equals (β0 + β1 × time 1). In sensitivity analyses of logistic regression and MLM, IF was used as a binary variable (never- compared with ever-breastfed children). Analyses were performed by using SAS (version 9.3) and Stata (version 14, Stata Corp) statistical software, and differences were considered significant at P < 0.05. All tests were 2-sided. Distributions of continuous variables are provided as means ± SDs, and proportions as P (95% CIs).

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Based on the information provided, it seems that the study is examining the association between infant feeding mode and growth in length during the first 6 months of life in HIV-exposed African children. The study found that formula-fed infants had a greater increase in length-for-age z score (LAZ) compared to exclusively breastfed infants during this period. Additionally, both formula feeding and exclusive breastfeeding for less than 3 months were associated with greater mean LAZ between 6 and 18 months compared to exclusive breastfeeding for 3 months or more.

Based on this study, some potential innovations to improve access to maternal health could include:

1. Promoting and supporting breastfeeding: Encouraging and providing resources for exclusive breastfeeding for at least 6 months can help improve maternal and child health outcomes. This could involve education and counseling for mothers, as well as creating breastfeeding-friendly environments in healthcare facilities and workplaces.

2. Providing formula feeding support: For mothers who are unable to breastfeed or choose to formula-feed, ensuring access to safe and affordable formula, as well as providing guidance on proper formula preparation and feeding practices, can help improve infant health outcomes.

3. Integrating HIV prevention and maternal health services: Ensuring that pregnant women living with HIV have access to comprehensive care that includes antiretroviral therapy, counseling on infant feeding options, and support for adherence to treatment can help reduce mother-to-child transmission of HIV and improve overall maternal and child health.

4. Addressing social and economic factors: Recognizing that social and economic factors can impact infant feeding choices, interventions that address these factors, such as providing financial support for low-income families or implementing policies that support work-life balance for mothers, can help improve access to maternal health services and support optimal infant feeding practices.

It’s important to note that these recommendations are based on the specific findings of the study mentioned and may not be applicable in all contexts. It’s always recommended to consult with healthcare professionals and consider local factors when implementing interventions to improve access to maternal health.
AI Innovations Description
Based on the information provided, the study found that formula-feeding of HIV-exposed uninfected infants was associated with faster growth in length during the first 6 months of life compared to exclusively breastfed infants. The study also found that formula-fed infants and infants exclusively breastfed for less than 3 months had greater mean length-for-age z scores compared to infants exclusively breastfed for 3 months or longer between 6 and 18 months of age. Furthermore, formula-feeding was independently associated with a reduced risk of stunting at 6 months of age among children who were not stunted at 2 days of age.

Based on these findings, a recommendation to improve access to maternal health and potentially reduce stunting in infants could be to provide comprehensive infant feeding counseling and support to HIV-infected pregnant women. This counseling should include information on the benefits and risks of both exclusive breastfeeding and formula-feeding, taking into consideration the specific context and individual circumstances of each woman. It is important to ensure that women have access to accurate and unbiased information to make informed decisions about infant feeding.

In addition to counseling, efforts should be made to improve access to affordable and safe formula for women who choose to formula-feed. This could involve providing free or subsidized formula to women who are unable to afford it, as well as ensuring that formula is readily available in health facilities and communities.

Furthermore, healthcare providers should receive training on infant feeding counseling and support, including how to address the specific needs and concerns of HIV-infected women. This would help ensure that women receive accurate and non-judgmental support in their infant feeding choices.

Overall, by providing comprehensive infant feeding counseling and support, improving access to affordable and safe formula, and training healthcare providers, it is possible to improve access to maternal health and potentially reduce stunting in infants.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health:

1. Increase access to antiretroviral therapy (ART) for pregnant women: Ensuring that HIV-infected pregnant women have access to ART can help reduce mother-to-child transmission of HIV and improve maternal and infant health outcomes.

2. Improve breastfeeding support and education: Providing comprehensive breastfeeding support and education to HIV-infected mothers can help them make informed decisions about infant feeding options and promote exclusive breastfeeding for the first 6 months of life.

3. Enhance access to formula feeding options: For HIV-infected mothers who choose not to breastfeed or are unable to do so, ensuring access to safe and affordable formula feeding options is crucial. This includes providing demonstrations on formula preparation and supplying free formula for infants up to 6 months of age.

4. Strengthen maternal health services: Investing in maternal health services, including prenatal care, skilled birth attendance, and postnatal care, can improve overall maternal and infant health outcomes. This includes ensuring access to essential healthcare services, such as HIV testing and counseling, antenatal care, and postpartum care.

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

1. Define the target population: Identify the specific population group that will be the focus of the simulation, such as HIV-infected pregnant women in a particular region or country.

2. Collect baseline data: Gather relevant data on the current status of maternal health access and outcomes in the target population, including indicators such as HIV transmission rates, breastfeeding rates, and maternal and infant mortality rates.

3. Develop a simulation model: Create a mathematical or statistical model that incorporates the key variables and relationships relevant to the recommendations being considered. This model should simulate the impact of the recommendations on access to maternal health services and health outcomes.

4. Input data and parameters: Input the baseline data and parameters into the simulation model, including information on the coverage and effectiveness of the recommended interventions.

5. Run the simulation: Execute the simulation model to generate projections of the potential impact of the recommendations over a specified time period. This could include estimating changes in HIV transmission rates, breastfeeding rates, and maternal and infant mortality rates.

6. Analyze and interpret results: Analyze the simulation results to assess the potential impact of the recommendations on improving access to maternal health. This may involve comparing the projected outcomes with the baseline data and identifying any significant changes or improvements.

7. Validate and refine the model: Validate the simulation model by comparing the projected outcomes with real-world data, if available. Refine the model as needed to improve its accuracy and reliability.

8. Communicate findings and make recommendations: Present the simulation findings to relevant stakeholders, such as policymakers, healthcare providers, and community organizations. Use the results to inform decision-making and advocate for the implementation of the recommended interventions to improve access to maternal health.

It is important to note that the methodology for simulating the impact of recommendations may vary depending on the specific context and available data. The steps outlined above provide a general framework for conducting such a simulation.

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