Maternal HIV infection associated with small-for-gestational age infants but not preterm births: Evidence from rural South Africa

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Study Justification:
This study aimed to investigate the associations between maternal HIV infection, preterm delivery, small-for-gestational age (SGA) infants, and infant mortality in a high HIV prevalent, rural area in South Africa. The study was conducted to provide evidence on the impact of maternal HIV infection on birth outcomes and infant mortality in this specific population.
Highlights:
– The study found that HIV-infected women had a higher risk of giving birth to SGA infants compared to uninfected women.
– However, there was no significant association between maternal HIV infection and preterm delivery.
– Infant mortality was significantly higher in SGA infants compared to appropriate-for-gestational-age infants, but no difference in mortality was observed between preterm and term infants.
Recommendations:
Based on the study findings, the following recommendations can be made:
1. Improve access to antiretroviral treatment for HIV-infected pregnant women to reduce the risk of SGA infants.
2. Enhance antenatal care services to monitor and manage the health of HIV-infected pregnant women, with a focus on preventing SGA infants.
3. Strengthen efforts to reduce infant mortality, particularly among SGA infants, through targeted interventions and support.
Key Role Players:
1. Healthcare providers: Obstetricians, midwives, and nurses who provide antenatal care and delivery services.
2. HIV counselors: Lay HIV counselors who provide counseling and support to pregnant women regarding HIV testing and prevention.
3. Public health officials: Government officials responsible for planning and implementing healthcare policies and programs.
4. Researchers: Scientists and researchers who can further investigate the associations between maternal HIV infection, birth outcomes, and infant mortality.
Cost Items:
1. Antenatal care services: Funding for antenatal clinics, staff salaries, and medical supplies.
2. HIV testing and counseling: Resources for HIV testing kits, training of HIV counselors, and counseling materials.
3. Antiretroviral treatment: Budget for providing antiretroviral drugs to HIV-infected pregnant women.
4. Infant mortality prevention programs: Funding for interventions targeting SGA infants and improving overall infant survival rates.
5. Research funding: Financial support for further studies and research on maternal HIV infection and birth outcomes.
Please note that the cost items mentioned are for planning purposes and do not represent actual costs.

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 a non-randomized intervention cohort study, which may introduce bias. Additionally, the sample size is relatively small (2368 live born singletons), which may limit the generalizability of the findings. To improve the strength of the evidence, future studies could consider using a randomized controlled trial design and increasing the sample size to enhance statistical power. Furthermore, conducting a systematic review or meta-analysis of multiple studies on the topic would provide a more comprehensive assessment of the associations between maternal HIV, preterm delivery, and SGA infants.

Background: Human immunodeficiency virus (HIV) is prevalent in many countries where small-for-gestational age (SGA) and premature delivery are also common. However, the associations between maternal HIV, preterm delivery and SGA infants remain unclear. We estimate the prevalence of SGA and preterm (<37 weeks) births, their associations with antenatal maternal HIV infection and their contribution to infant mortality, in a high HIV prevalent, rural area in South Africa. Methods Data were collected, in a non-randomized intervention cohort study, on all women attending antenatal clinics (20012004), before the availability of antiretroviral treatment. Newborns were weighed and gestational age was determined (based on last menstrual period plus midwife assessment antenatally). Poisson regression with robust variance assessed risk factors for preterm and SGA birth, while Cox regression assessed infant mortality and associated factors. Results Of 2368 live born singletons, 16.6 were SGA and 21.4 were preterm. HIV-infected women (n 1189) more commonly had SGA infants than uninfected women (18.1 versus 15.1; P 0.051), but percentages preterm were similar (21.8 versus 20.9; P 0.621). After adjustment for water source, delivery place, parity and maternal height, the SGA risk in HIV-infected women was higher [adjusted relative risk (aRR) 1.28, 95 confidence interval (CI): 1.061.53], but the association between maternal HIV infection and preterm delivery remained weak and not significant (aRR: 1.07, 95 CI: 0.911.26). In multivariable analyses, mortality under 1 year of age was significantly higher in SGA and severely SGA than in appropriate-for-gestational-age infants [adjusted hazard ratio (aHR): 2.12, 95 CI: 1.183.81 and 2.77, 95 CI: 1.564.91], but no difference in infant mortality was observed between the preterm and term infants (aHR: 1.18 95 CI: 0.791.79 for 3436 weeks and 1.31, 95 CI: 0.582.94 for 100 g, a third measurement was taken and the two weights within 100 g were recorded; the mean value was calculated for this analysis (de Onis et al., 2004). Dried blood spot (DBS) samples were collected from all HIV-exposed newborn infants within 72 h of birth, and then at each scheduled clinic visit to determine their HIV status. HIV status was established by quantitative HIV RNA assay with a sensitivity of 80 copies/ml (equivalent to 1600 copies per 50 µl DBS) (Bland et al., 2010). Infants were considered to be perinatally infected if the DBS sample taken at 4–8 weeks was positive, post-natally infected if the 4–8-week sample was negative and any subsequent sample was positive or infected with ‘timing unknown’ if the first sample was taken after 8 weeks and was positive. In the antenatal period, socio-demographic and past and current pregnancy data were collected using structured questionnaires; post-natally, daily infant morbidity and feeding practices were documented at weekly intervals, and maternal weights, mid-upper arm circumference (MUAC) and height were measured (Bland et al., 2010). For these analyses, the weight and MUAC taken at 6 weeks post-delivery were used. Antenatal maternal HIV status was classified into HIV positive and negative; maternal CD4 count was measured in all HIV-positive women. LBW was defined as <2500 g (Kramer, 1987a,b). Infants were classified as preterm if the gestational age at birth was <37 completed weeks, and as SGA if below the 10th percentile of the birthweight-for-gestational age, as recommended by the WHO (WHO, 1995), with the US population-based reference used as the standard for comparability of the prevalence rates of SGA, and the potential effect of maternal HIV infection on SGA, with previous studies elsewhere in Africa (Alexander et al., 1996). To assess severely small-for-gestational-age infants, risk associations were further analyzed at a 3% cutoff (Oken et al., 2003). Size for gestational age was therefore categorized into three groups based on percentiles: AGA, ≥10%; SGA, 3 ≤ 10% and <3%, severely SGA. We only included singleton live births, given the increased risk of LBW and premature delivery for multiple birth; we also excluded stillbirths as four-fifths had missing birthweights. Place of delivery was classified into health facility and home. Parity was classified so as to compare primiparae with multiparae (Mansour et al., 2002) and was categorized as 0, 1–3 or ≥4. Based on the maternal enrollment clinic, residential area was classified as rural, peri-urban or urban, as most people in this setting are likely to attend their nearest clinic, with the median travel time of 81 min (Tanser, 2006). Neonatal mortality was defined as a death in the first 4 weeks of life (Lawn et al., 2005), while infant mortality was defined as the death by 12 months of age. Data were analysed using Stata Version 11.2 (STATA Corps, College Station, TX, USA). Differences between HIV-infected and -uninfected women were assessed using t-test for continuous variables with normal distribution, χ2 test for categorical variables and Fisher's exact test if the numbers were small. Poisson regression, with a value of one attributed to each participant's follow-up time to obtain prevalence ratio estimates (done on all subjects and then separately among the HIV-positive and HIV-negative mothers), was used to assess factors associated with SGA and preterm delivery. To minimize overestimation of the relative risk when using Poisson regression for a categorical covariate of interest, a robust variance procedure was used (Lin and Wei, 1989). This method was considered to be a better alternative than the logistic regression for analysis of cross-sectional data, with the latter producing higher estimates than the former (Coutinho et al., 2008). For ease of comparison with other studies, we repeated our analyses using the conventional binary logistic regression and found essentially similar results to those presented here using Poisson regression. Variables were considered for inclusion in the multivariable model. Goodness-of-fit tests, assessed using the likelihood-based Akaike information criteria (AIC), were used to determine the variables that significantly improved the final Poisson models' fit (Bruin, 2006). Mortality by maternal HIV status and SGA was assessed using Kaplan–Meier survival analysis. Follow-up time was computed as time from birth to withdrawal, loss to follow-up, migration or death if before the first year of life, whichever came first, allowing for child's HIV status as a time-varying variable for infant mortality analyses. Risk factors for infant mortality were assessed in univariable and multivariable Cox regression models with child HIV infection as a time-dependent variable; for the adjusted model, variables with a statistically significant association univariately were included in addition to three included (parity, maternal age and education) a priori (Ndirangu et al., 2010).

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Based on the information provided, it is difficult to determine specific innovations for improving access to maternal health. However, here are some potential recommendations that could be considered:

1. Implementing mobile health (mHealth) solutions: Utilize mobile phones and other digital technologies to provide maternal health information, reminders for prenatal appointments, and access to telemedicine consultations.

2. Strengthening antenatal care services: Improve the quality and accessibility of antenatal care by training healthcare providers, ensuring the availability of essential supplies and equipment, and expanding the coverage of antenatal clinics in rural areas.

3. Integrating HIV and maternal health services: Enhance coordination between HIV and maternal health programs to ensure that pregnant women living with HIV receive comprehensive care and support, including access to antiretroviral treatment and prevention of mother-to-child transmission services.

4. Community-based interventions: Implement community health worker programs to provide education, counseling, and support to pregnant women in remote areas, helping them navigate the healthcare system and access necessary maternal health services.

5. Strengthening health information systems: Improve data collection and analysis systems to monitor maternal health indicators, identify gaps in service delivery, and inform evidence-based decision-making for improving access to maternal health services.

These recommendations are based on general strategies for improving maternal health access and may need to be tailored to the specific context and needs of the population in rural South Africa.
AI Innovations Description
Based on the provided description, the recommendation to improve access to maternal health would be to implement comprehensive antenatal care programs that focus on addressing the specific needs of HIV-infected pregnant women. This could include the following strategies:

1. Integration of HIV testing and counseling: All pregnant women should be offered HIV testing and counseling as part of routine antenatal care. This will ensure early detection of HIV infection and enable timely initiation of appropriate interventions.

2. Provision of antiretroviral therapy (ART): HIV-infected pregnant women should have access to ART to prevent mother-to-child transmission of HIV. This includes providing antiretroviral drugs during pregnancy, labor, and breastfeeding, as well as ensuring adherence to treatment.

3. Regular monitoring of fetal growth: Regular ultrasound examinations should be conducted to monitor fetal growth and detect any signs of small-for-gestational age (SGA) infants. This will enable early intervention and appropriate management of SGA infants.

4. Nutrition support: HIV-infected pregnant women should receive adequate nutrition support to promote healthy fetal growth and development. This may include providing nutritional supplements and counseling on healthy eating habits.

5. Postnatal care and follow-up: Comprehensive postnatal care should be provided to both the mother and the newborn. This includes regular check-ups, immunizations, and monitoring of infant growth and development.

6. Health education and community engagement: Health education programs should be implemented to raise awareness about maternal health, HIV prevention, and the importance of antenatal care. Community engagement activities can help overcome barriers to accessing care and promote community support for pregnant women.

By implementing these recommendations, it is expected that access to maternal health services will be improved, leading to better outcomes for both HIV-infected pregnant women and their infants.
AI Innovations Methodology
Based on the information provided, here are some potential recommendations to improve access to maternal health:

1. Increase availability and accessibility of antenatal clinics: Ensure that there are sufficient antenatal clinics in rural areas and peri-urban areas to cater to the needs of pregnant women. This can include mobile clinics or outreach programs to reach remote areas.

2. Improve HIV testing and counseling services: Strengthen HIV testing and counseling services in antenatal clinics to ensure that all pregnant women are tested for HIV and receive appropriate counseling on prevention of mother-to-child transmission (PMTCT) and treatment options.

3. Enhance maternal nutrition programs: Implement programs that focus on improving maternal nutrition during pregnancy, as poor nutrition can contribute to small-for-gestational age (SGA) infants. This can include providing nutritional supplements, education on healthy eating, and access to nutritious food.

4. Strengthen referral systems: Establish effective referral systems between antenatal clinics and healthcare facilities that provide specialized care for high-risk pregnancies and complications. This will ensure that pregnant women receive timely and appropriate care when needed.

5. Increase community awareness and education: Conduct community awareness campaigns to educate pregnant women and their families about the importance of antenatal care, HIV testing, and the benefits of early detection and treatment of maternal health conditions.

Methodology to simulate the impact of these recommendations on improving access to maternal health:

1. Define the baseline: Collect data on the current state of access to maternal health services, including the number of antenatal clinics, HIV testing rates, maternal nutrition status, referral systems, and community awareness.

2. Develop a simulation model: Create a simulation model that incorporates the various factors influencing access to maternal health, such as the number of clinics, availability of HIV testing services, maternal nutrition programs, and referral systems. This model should also consider the population demographics and geographical distribution.

3. Input data and parameters: Input the baseline data into the simulation model, along with parameters related to the potential recommendations, such as the number of additional clinics, the coverage of HIV testing services, the reach of maternal nutrition programs, and the effectiveness of referral systems.

4. Run simulations: Run multiple simulations using different scenarios and combinations of the potential recommendations. This can include increasing the number of clinics, improving HIV testing rates, implementing maternal nutrition programs, and strengthening referral systems. Each simulation should consider the potential impact of these recommendations on access to maternal health.

5. Analyze results: Analyze the results of the simulations to determine the potential impact of the recommendations on improving access to maternal health. This can include assessing changes in the number of pregnant women accessing antenatal care, the percentage of women tested for HIV, improvements in maternal nutrition status, and the effectiveness of referral systems.

6. Validate and refine the model: Validate the simulation model by comparing the simulated results with real-world data, if available. Refine the model based on feedback and further data analysis.

7. Provide recommendations: Based on the simulation results, provide recommendations on the most effective strategies to improve access to maternal health. Consider the cost-effectiveness, feasibility, and sustainability of each recommendation.

8. Monitor and evaluate: Implement the recommended strategies and continuously monitor and evaluate their impact on improving access to maternal health. Make adjustments as needed based on ongoing data analysis and feedback from healthcare providers and communities.

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