In Utero ART Exposure and Birth and Early Growth Outcomes among HIV-Exposed Uninfected Infants Attending Immunization Services: Results from National PMTCT Surveillance, South Africa

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Study Justification:
This study aimed to evaluate the impact of in utero antiretroviral therapy (ART) exposure on birth outcomes among HIV-exposed uninfected infants attending immunization services in South Africa. The justification for this study is based on the need to understand the potential adverse effects of ART on birth outcomes, despite its recognized benefits for preventing and treating HIV.
Highlights:
The study found that HIV-exposed uninfected infants had higher odds of preterm delivery, low birth weight, small for gestational age, and underweight for age compared to HIV-unexposed uninfected infants. Infants whose mothers initiated ART preconception had almost twice the odds of preterm delivery compared to infants whose mothers started ART postconception. However, there were no increased odds for other outcomes. These findings suggest an association between preconception ART and preterm delivery.
Recommendations:
Based on the study findings, the researchers recommend the following:
1. As ART access increases, pregnancy registers or similar surveillance systems should be in place to monitor birth outcomes among HIV-exposed uninfected infants.
2. The findings should inform future policy decisions regarding the use of ART during pregnancy.
Key Role Players:
To address the recommendations, key role players may include:
1. National and regional health departments responsible for HIV prevention and treatment programs.
2. Maternal and child health organizations.
3. HIV/AIDS advocacy groups.
4. Healthcare providers and clinicians involved in antenatal care and ART administration.
Cost Items:
While the actual cost is not provided, some budget items to consider in planning the recommendations may include:
1. Development and implementation of pregnancy registers or surveillance systems.
2. Training and capacity building for healthcare providers on monitoring and reporting birth outcomes.
3. Data collection and analysis.
4. Communication and dissemination of findings to relevant stakeholders.
5. Policy development and implementation.
Please note that the actual cost will depend on various factors such as the scale of implementation, existing infrastructure, and resources available.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study conducted a nationally representative survey with a large sample size and used multivariable logistic regression to evaluate the effects of HIV and ART exposure on birth outcomes. However, the study design is cross-sectional, which limits the ability to establish causality. To improve the strength of the evidence, future research could consider a longitudinal design to better assess the temporal relationship between in utero ART exposure and birth outcomes. Additionally, including a control group of HIV-infected infants not exposed to ART would provide a clearer comparison. Finally, conducting a systematic review and meta-analysis of similar studies would help to strengthen the overall evidence base.

Background: Despite the recognized benefit of antiretroviral therapy (ART) for preventing and treating HIV, some studies have reported adverse birth outcomes with in utero ART exposure. We evaluated the effect of infant in utero HIV and ART exposure on preterm delivery (PTD), low birth weight (LBW), small for gestational age (SGA), and underweight for age (UFA) at 6 weeks. Methods: We surveyed 6179 HIV-unexposed-uninfected (HUU) and 2599 HIV-exposed-uninfected (HEU) infants. HEU infants were stratified into 3 groups: ART, Zidovudine alone, and no antiretrovirals (None). The ART group was further stratified to explore pre- or postconception exposure. Multivariable logistic regression evaluated effects of HIV and ARV exposure on the outcomes. Results: We found higher odds of PTD, LBW, SGA, and UFA in HEU than HUU infants. HEU in the None group (adjusted odds ratio [AOR], 1.9; 95% confidence interval [CI], 1.2-3.0) or those whose mothers initiated ART preconception (AOR, 1.7; 95% CI, 1.1-2.5) had almost twice the odds of PTD than infants whose mothers started ART postconception, but no increased odds for other outcomes. Conclusions: There was an association between preconception ART and PTD. As ART access increases, pregnancy registers or similar surveillance should be in place to monitor outcomes to inform future policy.

The 2012–13 South African PMTCT Evaluation (SAPMTCTE) was a nationally representative facility-based cross-sectional survey, conducted between October 2012 and May 2013, to measure vertical HIV transmission at 4–8 weeks postpartum. During this study, ART use was criteria-led (WHO PMTCT “Option-A”), changing to “universal test and treat” for all HIV-positive pregnant women throughout breastfeeding (“Option-B”) in April 2013. Under Option-A, antiretroviral drug (ARV)-naïve HIV-infected pregnant women were placed on ART (recommended tenofovir disoproxil fumarate [TDF] + [3TC]/Emtracitaine [FTC] + Nevirapine [NVP]) if CD4 cell count ≤350 cells/mm3 or Zidovudine (ZDV) from 14 weeks gestation (with infant NVP for 6 weeks or until 1 week postbreastfeeding) if CD4 >350 cells/mm3 [12]. The study methods have been described elsewhere [13] and are summarized in the Supplementary Materials. In brief, 580 primary health facilities offering immunization services were sampled using a probability proportional to size approach. Consenting mother-infant pairs attending immunization services were consecutively or systematically enrolled, regardless of maternal HIV status, in each facility. Sick infants needing emergency care and those aged 8 weeks were excluded. Maternal HIV infection and ART use were the primary exposures. Trained nurse data collectors drew infant dried blood spot (iDBS) specimens during the study visits. All iDBS received HIV antibody (serological) testing, and antibody-positive samples or samples from self-reporting HIV-positive mothers were tested for both HIV-1 proviral DNA and HIV-1 RNA (see the Supplementary Methods). Data collectors used electronic questionnaires to gather self-reported data on the mother’s drug use and timing of initiation. As no maternal blood specimens were collected, a mother was defined as HIV-negative if the infant’s antibody result was negative and HIV-infected if 2 infant HIV antibody test results were positive. An infant was defined as HEU if (1) the HIV antibody result was positive and polymerase chain reaction (PCR) result was negative or (2) the antibody result was positive and PCR equivocal or rejected (1% of sample), or HUU if both results were negative. Among HIV-infected mothers, self-reported ARV use was categorized into 3 groups: namely (1) ART use primarily for mother’s health (ART-group), as per Option-A guidelines, (2) antenatal ZDV as MTCT prophylaxis (ZDV-group), and (3) no ARV use antenatally (None group). Given that ART, particularly TDF, which has been associated with poor birth outcomes, has low bioavailability in breastmilk [14], infants whose mothers only started ART postnatally were excluded from this analysis. In an effort to (1) make the periods of exposure to ARV drugs comparable between women on ZDV versus ART and (2) compare outcomes by duration of ART exposure, women on ART were further dichotomised by ART duration, and those who initiated ART postconception were treated as the reference. The outcomes of interest were PTD, LBW, SGA at birth, and UFA at 6 weeks postpartum. Birth weight and length, 6-week weight and length, and gestational age were extracted from the infants’ routine road to health booklets at 4–8 weeks (median, 6 weeks) postpartum. The anthropometric measurements were conducted by routine health facility staff using facility procedures and equipment. Length data were excluded in this analysis due to measurement errors and missing data. Health facility staff routinely estimated infant gestational age at delivery using the last menstrual period (LMP). PTD was defined as birth before 37 completed weeks gestation, LBW as birthweight <2.5 Kg, and SGA as birthweight-for-gestational-age z score below –1.28 (equivalent to <10th percentile) [15, 16]. We estimated birthweight-for-gestational-age z scores using recently published international Intergrowth-21st standards for assessing newborn size for term- and preterm-born infants [17] and LMS growth [18]. We estimated weight-for-age z scores (WAZ) in infants age 4–8 weeks using the WHO growth standards [19] and considered infants to be UFA if their WAZ was below –2 [20]. Anthropometric measurements and z scores were flagged for verification if any of the following criteria were met: birthweight-for-gestational z score 5. Except for gestational age, which had 1% observations set to missing after verification (including 3 gestational ages outside of the range for the Intergrowth standards [20–23 weeks]), the remaining measurements and z scores had <1% observations omitted. Covariates in the models were selected a priori based on the literature [21] and a conceptual framework (Supplementary Figure 1). Participants were defined as food insecure if they ever ran out of food in the previous year. Multiple correspondence analysis (MCA) was used to to construct the socio-economic status (SES) index (see the Supplementary Materials). Infant feeding practices were established through 8-day recall infant feeding questions, and infants were categorized into 2 groups: (1) “breastfed” if they received any breastmilk and (2) “non-breastfed” if they received no breastmilk. As SA has historical racial inequalities, race was included in the models as a potential social determinant of the study outcomes [22]. Based on the reported race, study infants were classified as (1) “black,” (2) “colored,” a multiracial group, or (3) “other,” comprised of very small samples of infants defined as “white,” “indian,” and “other.” Analyses were survey based, and additional weighting for missing gestational age data was applied to the PTD and SGA analyses (see the Supplementary Materials). Categorical variables were compared using the Pearson chi-square test while linear regression was used to test equality of means. The Wald test was used for multiple hypothesis testing. In the modeling, we first generated 4 multivariable logistic regression models to assess the effect of in utero HIV exposure on outcomes in the total sample of HUU and HEU infants. We then restricted the analysis to HEU infants and compared their outcomes by ART exposure status and duration using 4 additional models. To avoid bias introduced by adjustment of potential mediators in the presence of unmeasured common causes, the “LBW paradox” [23], variables such as birthweight were not included in the UFA models. In each full model, we also included interaction terms to test whether infant HIV exposure modifies the effect of other covariates on birth outcomes. Statistical analyses were performed at a 5% significance level using STATA-14 (Stata Corp., College Station, Texas), R Software-3.1.2, and IBM-SPSS Statistics-22 (SPSS Inc, Chicago, Illinois). Ethical approval was obtained from the South African Medical Research Council and the Office of Associate Director of Science at the US Centers for Disease Control and Prevention. All participants provided informed consent.

Based on the provided description, it is difficult to identify specific innovations for improving access to maternal health. The description appears to be a research study evaluating the effects of in utero HIV and antiretroviral therapy (ART) exposure on birth outcomes in South Africa. The study suggests that as ART access increases, pregnancy registers or similar surveillance should be in place to monitor outcomes and inform future policy.

To improve access to maternal health, some potential innovations could include:

1. Mobile health (mHealth) technologies: Utilizing mobile phones and applications to provide information, reminders, and support for pregnant women, such as prenatal care reminders, nutrition guidance, and appointment scheduling.

2. Telemedicine: Using telecommunication technologies to provide remote consultations and monitoring for pregnant women, especially in rural or underserved areas where access to healthcare facilities may be limited.

3. Community health workers: Training and deploying community health workers to provide education, support, and basic healthcare services to pregnant women in their communities, bridging the gap between healthcare facilities and remote areas.

4. Transport services: Establishing transportation systems or partnerships to ensure pregnant women have access to transportation for prenatal care visits, delivery, and postnatal care, particularly in areas with limited public transportation options.

5. Maternal health clinics: Setting up dedicated maternal health clinics or centers that provide comprehensive care for pregnant women, including prenatal care, childbirth services, postnatal care, and family planning.

6. Health education programs: Implementing targeted health education programs to raise awareness about the importance of prenatal care, nutrition, and healthy behaviors during pregnancy, aiming to empower women to take control of their own health.

7. Financial incentives: Introducing financial incentives or subsidies to encourage pregnant women to seek and receive appropriate prenatal care, such as reimbursement for transportation costs or reduced fees for healthcare services.

These are just a few potential innovations that could be explored to improve access to maternal health. It is important to consider the specific context, resources, and needs of the population when implementing any innovation.
AI Innovations Description
Based on the provided description, the recommendation to improve access to maternal health is to establish pregnancy registers or similar surveillance systems to monitor outcomes as ART (antiretroviral therapy) access increases. This recommendation is based on the findings that there was an association between preconception ART and preterm delivery (PTD). By implementing pregnancy registers or surveillance systems, policymakers and healthcare providers can gather data on maternal health outcomes and use this information to inform future policies and interventions. This will help ensure that pregnant women receive appropriate care and support to improve maternal and infant health outcomes.
AI Innovations Methodology
Based on the provided description, it seems that the study is focused on evaluating the impact of in utero HIV and antiretroviral therapy (ART) exposure on birth and early growth outcomes among HIV-exposed uninfected infants attending immunization services in South Africa. The study aims to assess the effects of HIV and ART exposure on preterm delivery (PTD), low birth weight (LBW), small for gestational age (SGA), and underweight for age (UFA) at 6 weeks.

To improve access to maternal health, here are some potential recommendations:

1. Strengthening healthcare infrastructure: Investing in healthcare facilities, equipment, and trained healthcare professionals can improve access to maternal health services. This includes ensuring the availability of skilled birth attendants, emergency obstetric care, and essential medical supplies.

2. Increasing awareness and education: Implementing comprehensive maternal health education programs can help raise awareness about the importance of antenatal care, safe delivery practices, and postnatal care. This can be done through community outreach programs, health campaigns, and educational materials.

3. Improving transportation and logistics: Enhancing transportation systems and logistics can help overcome geographical barriers and improve access to maternal health services, especially in remote or underserved areas. This can involve providing transportation vouchers, mobile clinics, or telemedicine services.

4. Addressing financial barriers: Implementing policies to reduce financial barriers, such as providing free or subsidized maternal health services, health insurance coverage, or conditional cash transfer programs, can improve access for women who may otherwise face financial constraints.

5. Promoting gender equality and women’s empowerment: Addressing social and cultural factors that limit women’s access to maternal health services is crucial. This includes promoting gender equality, empowering women to make informed decisions about their reproductive health, and addressing harmful practices or beliefs that may hinder access to care.

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

1. Define the baseline: Collect data on the current state of maternal health access, including indicators such as the number of women receiving antenatal care, skilled birth attendance rates, and maternal mortality rates.

2. Identify key variables: Determine the key variables that are likely to be influenced by the recommendations, such as the number of healthcare facilities, healthcare professionals, awareness levels, transportation availability, and financial barriers.

3. Collect data: Gather data on the identified variables, either through surveys, interviews, or existing data sources. This can include information on healthcare infrastructure, education levels, transportation systems, and financial indicators.

4. Develop a simulation model: Use the collected data to develop a simulation model that represents the current state of maternal health access. This model should include the relationships between the key variables and their impact on access to maternal health services.

5. Introduce the recommendations: Modify the simulation model to incorporate the potential impact of the recommendations. This can involve adjusting variables such as the number of healthcare facilities, awareness levels, transportation availability, and financial barriers based on the expected effects of the recommendations.

6. Simulate the impact: Run the simulation model to assess the projected impact of the recommendations on access to maternal health services. This can involve analyzing indicators such as the increase in the number of women receiving antenatal care, improvements in skilled birth attendance rates, and reductions in maternal mortality rates.

7. Evaluate and refine: Analyze the simulation results and evaluate the effectiveness of the recommendations in improving access to maternal health. If necessary, refine the recommendations or the simulation model based on the findings.

By following this methodology, policymakers and stakeholders can gain insights into the potential impact of different recommendations on improving access to maternal health. This can help inform decision-making and prioritize interventions that are likely to have the greatest positive impact.

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