Investigating mediators of the poor pneumonia outcomes of human immunodeficiency virus–exposed but uninfected children

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Study Justification:
– Human immunodeficiency virus-exposed but uninfected (HIV-EU) children have a higher mortality rate than HIV-negative children, but the reasons for this are not well understood.
– This study aimed to investigate the mediators of poor pneumonia outcomes in HIV-EU children to better understand the factors contributing to their higher mortality rate.
Study Highlights:
– The study was conducted at Princess Marina Hospital in Gaborone, Botswana, between April 2012 and June 2016.
– A total of 352 HIV-uninfected children aged 1 to 23 months with clinically defined pneumonia were included in the study.
– HIV-EU children were found to have a higher risk of treatment failure and in-hospital mortality compared to HIV-unexposed children.
– Nonbreastfeeding was identified as a significant mediator, accounting for 47% of the effect of HIV exposure on the risk of in-hospital death.
– The findings provide additional evidence for the importance of breastfeeding in reducing mortality among HIV-EU children.
Recommendations:
– Promote and support breastfeeding among HIV-EU children to reduce pneumonia mortality.
– Improve access to healthcare services, particularly for HIV-EU children living in remote areas, to ensure timely diagnosis and treatment of pneumonia.
– Enhance nutritional support and interventions to address malnutrition in HIV-EU children, as it may contribute to poor pneumonia outcomes.
Key Role Players:
– Healthcare providers: Pediatricians, medical officers, and pediatric residents involved in the care of HIV-EU children with pneumonia.
– Policy makers: Government officials responsible for developing and implementing policies related to HIV prevention, maternal and child health, and nutrition.
– Community health workers: Individuals who can provide education and support to mothers regarding breastfeeding and other preventive measures for pneumonia.
– Non-governmental organizations (NGOs): Organizations working in the field of HIV/AIDS, child health, and nutrition that can provide resources and support for interventions targeting HIV-EU children.
Cost Items for Planning Recommendations:
– Breastfeeding promotion and support programs: Costs associated with training healthcare providers, community health workers, and volunteers, as well as providing educational materials and counseling services.
– Healthcare infrastructure and services: Investments in healthcare facilities, equipment, and staffing to improve access to timely diagnosis and treatment of pneumonia.
– Nutritional interventions: Costs related to the provision of nutritional supplements, therapeutic foods, and monitoring of nutritional status in HIV-EU children.
– Community outreach and awareness campaigns: Expenses for organizing community events, workshops, and campaigns to raise awareness about the importance of breastfeeding and pneumonia prevention among HIV-EU children.
Please note that the provided cost items are general categories and the actual cost estimates would depend on the specific context and implementation strategies.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, but could be improved by providing more details on the study design and statistical analysis.

Background. Human immunodeficiency virus–exposed but uninfected (HIV-EU) children have a higher mortality rate than the children of HIV-negative mothers (HIV-unexposed). Causal mediators of the poor health outcomes of HIV-EU children remain poorly defined. Methods. We conducted a hospital-based prospective cohort study of children aged 1 to 23 months with clinically defined pneumonia. The children were recruited at a referral hospital in Gaborone, Botswana, between April 2012 and June 2016. The primary outcome, treatment failure at 48 hours, was assessed by an investigator blinded to the children’s HIV-exposure status. We examined associations between HIV exposure and pneumonia outcomes in HIV-uninfected children. We next determined whether the effect of HIV exposure on outcomes was mediated by low-birth-weight status, nonbreastfeeding, malnutrition, in utero exposure to combination antiretroviral therapy, or pneumonia severity. Results. A total of 352 HIV-uninfected children were included in these analyses, including 245 (70%) HIV-unexposed and 107 (30%) HIV-EU children. Their median age was 7.4 months, and 57% were male. Treatment failure occurred in 111 (32%) children, and 19 (5.4%) children died. HIV-EU children were more likely to fail treatment (risk ratio [RR], 1.57 [95% confidence interval (CI), 1.19–2.07]; P = .002) and had a higher in-hospital mortality rate (RR, 4.50 [95% CI, 1.86–10.85]; P = .001) than HIV-unexposed children. Nonbreastfeeding mediated 47% of the effect of HIV exposure on the risk of in-hospital death. Conclusions. HIV-EU children have worse pneumonia outcomes than HIV-unexposed children. Nonbreastfeeding mediates nearly half of the effect of HIV exposure on pneumonia mortality. Our findings provide additional evidence for a mortality benefit of breastfeeding by HIV-EU children.

This study was conducted between April 2012 and June 2016 at Princess Marina Hospital, a referral medical center in Gaborone, Botswana. The country’s HIV prevalence among adults aged 15 to 49 years was 22.2% in 2015 [13]. HIV-infected women in Botswana are counseled to exclusively breastfeed their children until they are at least 6 months of age unless replacement feeding is deemed to be acceptable, feasible, affordable, sustainable, and safe (AFASS); free infant formula is provided to HIV-infected women who meet these criteria, including mothers who are on combination antiretroviral therapy. Haemophilus influenzae type B (Hib) and 13-valent pneumococcal conjugate (PCV-13) vaccinations were introduced in Botswana in November 2010 and July 2012, respectively. These vaccines are administered routinely to infants in Botswana at 2, 3, and 4 months of age. Coverage estimates in 2014 for 3 doses of Hib vaccine and 3 doses of PCV-13 vaccine were 95% and 81%, respectively [14]. Children aged 1 to 23 months with pneumonia, defined by the World Health Organization (WHO) as “cough or difficulty in breathing with lower chest wall indrawing” [15], were eligible for inclusion. The presence of 1 or more danger signs (central cyanosis, convulsions, inability to drink, and abnormal sleepiness) at enrollment classified children as having WHO-defined severe pneumonia [15]. We excluded children with a chronic medical condition (other than HIV infection) that predisposed them to pneumonia, hospitalization in the previous 14 days, asthma, wheezing with resolution of lower chest wall indrawing after 2 or fewer bronchodilator treatments, or previous enrollment in this study. All children were recruited within 6 hours of triage in the emergency department. Recruitment occurred between Monday and Friday from 7:30 am to 4:30 pm and, when staffing was available, during evenings and weekends. Clinical care was provided on a pediatric ward staffed by medical officers and pediatric residents and supervised by pediatricians. Supplemental oxygen and continuous positive airway pressure (CPAP) were routinely available on the ward, but access to mechanical ventilation in the hospital’s 6-bed intensive care unit was limited. Antibiotic treatment decisions were made by the supervising pediatrician. Sociodemographic and clinical data were collected at enrollment from the initial physical examination, review of infant and maternal medical records, and a face-to-face questionnaire completed with the child’s caregivers. Severe acute malnutrition was defined as weight for length of less than −3 standard deviations from the median on standard WHO growth curves, a mid-upper arm circumference of less than 115 mm (for children aged 6 months or older), or bilateral edema of nutritional origin [16]. Hypoxia was defined as an oxygen saturation of <90% while breathing room air. Proximity to health care services was categorized as travel of <1 or ≥1 hour before first contact with the health system (at a clinic or hospital) on the enrollment date. To assess for current breastfeeding, caregivers were asked, “When this illness started, was the child breastfeeding?” Research staff assessed the children, reviewed their hospital charts daily until hospital discharge (or death), and recorded additional clinical information, including level of respiratory support and the dates and times of antibiotic doses. Study data were managed using REDCap electronic data-capture tools hosted at the Children’s Hospital of Philadelphia in Pennsylvania [17]. Women in Botswana are tested routinely for HIV during pregnancy using dual parallel rapid testing. Children of a mother with documented negative HIV testing results during pregnancy, at delivery, or at enrollment were classified as HIV-unexposed. Children whose mother tested positive for HIV before or at delivery were considered HIV-exposed. HIV-exposed children were classified as HIV-EU if they tested negative for HIV after the age of 6 weeks if they were exclusively formula fed, at least 6 weeks after breastfeeding cessation, or at enrollment. HIV testing of infants less than 18 months of age was performed using the Amplicor 1.5 HIV-1 DNA polymerase chain reaction (PCR) assay (Roche, Alameda, California). Testing of infants aged 18 months or older was performed using dual parallel rapid testing and, for children with positive or discordant results, a confirmatory HIV DNA PCR assay. Before April 2014, infant HIV testing was performed at the discretion of the clinical team. Thereafter, we collected a dried blood spot from all HIV-exposed infants and performed HIV testing using the Amplicor 1.5 HIV-1 DNA PCR assay. The primary outcome, treatment failure, was assessed at 48 (±2) hours by a study physician or nurse blinded to enrollment data, including the child’s HIV-exposure status. Treatment failure was defined as persistent lower chest wall indrawing, the development of new WHO danger signs, an oxygen saturation of <80% while breathing room air, need for CPAP or mechanical ventilation, and/or death. This definition was adapted for our setting from criteria used in previous studies of childhood pneumonia [18–20]. Training sessions were held every 3 months for study physicians and nurses throughout the study to standardize the assessment process. Children who were discharged from the hospital before 48 hours were considered treatment responders, but we attempted to contact their caregivers by telephone to confirm treatment response. Secondary outcomes included days of respiratory support (supplemental oxygen, CPAP, or mechanical ventilation), length of stay, and in-hospital death. For each day, only the highest level of respiratory support required by a child was recorded. The length of stay was calculated from time of triage in the emergency department to the time of hospital discharge or death. The analyses presented herein included only children who were classified as HIV-unexposed or HIV-EU. We documented baseline characteristics of the study population according to HIV-exposure status by using frequencies and percentages for categorical variables and medians and 25th and 75th percentiles for continuous variables. To assess for differences in these characteristics according to HIV-exposure status, we used the χ2 or Fisher exact test for categorical variables and 2-sample t tests for continuous variables. We used Cox proportional hazards to estimate risk ratios (RRs) for treatment failure and in-hospital mortality according to HIV-exposure status [21]. Given the right-skewed distribution of days of respiratory support and lengths of stay, we used negative binomial regression models to estimate incidence rate ratios (IRRs) for these outcomes according to HIV-exposure status. The analyses were adjusted for age and proximity to health care services (travel of <1 or ≥1 hour to a clinic or hospital for the current illness), which were potential confounding variables identified on the basis of subject matter knowledge and construction of a causal diagram (Figure 1) [12]. Causal diagram depicting the relationship between child HIV-exposure status and pneumonia outcome. We next sought to determine whether the following clinical variables were mediators of the effect of HIV exposure on pneumonia outcomes: (1) low-birth-weight status, (2) current nonbreastfeeding, (3) severe malnutrition, (4) in utero exposure to combination antiretroviral therapy (compared with zidovudine monotherapy or no antiretroviral therapy), and (5) WHO-defined severe pneumonia. We first included HIV exposure, the candidate mediator, and the potential confounders of age and proximity to healthcare services in log binomial regression models for the outcomes of interest (treatment failure at 48 hours and in-hospital death). We next used logistic regression to evaluate whether HIV exposure was associated with each candidate mediator by adjusting for the same potential confounders. We considered a variable to be a significant mediator of the effect of in utero HIV exposure if we found evidence of associations with both the outcome and the exposure (P < .20). For candidate mediators that met these criteria, we calculated the ratio of the natural indirect effect to the total effect on the risk-difference scale, which can be interpreted as the proportion of the total effect of HIV exposure on the outcome that is mediated by that variable [22]. All statistical analyses were conducted using SAS 9.4 software (SAS Institute, Cary, North Carolina). This study was approved by the Health Research and Development Committee (Botswana Ministry of Health), the Princess Marina Hospital Ethics Committee, and the University of Pennsylvania, Children’s Hospital of Philadelphia, and Duke University institutional review boards. A legal guardian provided written informed consent for each child included in this study.

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

1. Telemedicine: Implementing telemedicine services can provide remote access to healthcare professionals, allowing pregnant women to receive prenatal care and consultations without having to travel long distances.

2. Mobile clinics: Setting up mobile clinics in rural or underserved areas can bring healthcare services directly to pregnant women, making it easier for them to access prenatal care and screenings.

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

4. Health information systems: Developing and implementing robust health information systems can improve data collection and analysis, allowing healthcare providers to identify trends, gaps, and areas for improvement in maternal health services.

5. Maternal health vouchers: Introducing maternal health vouchers or subsidies can help reduce financial barriers to accessing maternal healthcare services, making them more affordable and accessible to all women.

6. Mobile applications: Creating mobile applications that provide information, reminders, and resources related to maternal health can empower pregnant women to take an active role in their own healthcare and make informed decisions.

7. Transportation solutions: Improving transportation infrastructure and implementing transportation solutions specifically for pregnant women, such as ambulances or dedicated transport services, can ensure timely access to healthcare facilities during emergencies or for routine check-ups.

8. Maternal health education programs: Developing and implementing comprehensive maternal health education programs can empower women with knowledge about pregnancy, childbirth, and postnatal care, enabling them to make informed decisions and seek appropriate healthcare services.

9. Public-private partnerships: Collaborating with private healthcare providers and organizations can help expand access to maternal health services, leveraging their resources and expertise to reach more women in need.

10. Policy and advocacy: Advocating for policies that prioritize maternal health and allocating sufficient resources to improve access to quality care can have a significant impact on reducing maternal mortality and improving overall maternal health outcomes.
AI Innovations Description
The study titled “Investigating mediators of the poor pneumonia outcomes of human immunodeficiency virus-exposed but uninfected children” conducted at Princess Marina Hospital in Gaborone, Botswana aimed to identify factors that contribute to the higher mortality rate of HIV-exposed but uninfected (HIV-EU) children compared to HIV-unexposed children. The study found that nonbreastfeeding mediated 47% of the effect of HIV exposure on the risk of in-hospital death.

Based on these findings, a recommendation to improve access to maternal health and potentially reduce pneumonia mortality in HIV-EU children is to promote and support breastfeeding among HIV-infected mothers. Breastfeeding has been shown to have a mortality benefit for HIV-EU children, and efforts should be made to ensure that HIV-infected mothers receive appropriate counseling and support to exclusively breastfeed their children until at least 6 months of age, unless replacement feeding is deemed acceptable, feasible, affordable, sustainable, and safe (AFASS). This may include providing free infant formula to HIV-infected women who meet the criteria for replacement feeding.

Additionally, healthcare providers should be trained to provide accurate and up-to-date information on the benefits of breastfeeding for HIV-EU children and to support mothers in their breastfeeding journey. This may involve training sessions and educational materials for healthcare professionals to ensure they have the knowledge and skills to effectively counsel and support HIV-infected mothers in breastfeeding.

Furthermore, community-based interventions can be implemented to raise awareness about the importance of breastfeeding for HIV-EU children and to provide support to mothers in their communities. This can include peer support groups, community health workers, and breastfeeding support programs that can provide guidance and assistance to HIV-infected mothers.

By implementing these recommendations, access to maternal health can be improved, and the mortality rate of HIV-EU children due to pneumonia can potentially be reduced.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

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 well-equipped hospitals and clinics with skilled healthcare providers.

2. Mobile health (mHealth) interventions: Utilizing mobile technology to provide maternal health information, reminders, and access to healthcare services can help overcome geographical barriers and improve access to maternal health for remote and underserved populations.

3. Community-based interventions: Implementing community-based programs that focus on educating and empowering women and their families about maternal health can help increase awareness and utilization of maternal health services. This can include training community health workers to provide basic maternal health services and conducting outreach programs.

4. Financial incentives: Providing financial incentives, such as cash transfers or subsidies, to pregnant women and their families can help reduce financial barriers and improve access to maternal health services, especially for low-income populations.

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 or region where the recommendations will be implemented and assess the current access to maternal health services in that area.

2. Collect baseline data: Gather data on key indicators related to maternal health, such as maternal mortality rates, antenatal care coverage, skilled birth attendance, and access to emergency obstetric care.

3. Implement the recommendations: Introduce the recommended interventions, such as strengthening healthcare infrastructure, implementing mHealth interventions, community-based programs, and financial incentives.

4. Monitor and evaluate: Continuously monitor and evaluate the implementation of the recommendations. Collect data on the impact of the interventions on access to maternal health services, including changes in key indicators and feedback from the target population.

5. Analyze the data: Analyze the collected data to assess the impact of the recommendations on improving access to maternal health. This can include statistical analysis to determine changes in key indicators and qualitative analysis to understand the experiences and perceptions of the target population.

6. Draw conclusions and make recommendations: Based on the analysis of the data, draw conclusions about the effectiveness of the recommendations in improving access to maternal health. Identify any challenges or barriers that need to be addressed and make recommendations for further improvements.

7. Continuous improvement: Use the findings from the evaluation to make adjustments and improvements to the interventions. Implement a feedback loop to ensure ongoing monitoring and evaluation of the impact of the recommendations on access to maternal health.

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