Food insufficiency is associated with lack of sustained viral suppression among HIV-infected pregnant and breastfeeding ugandan women

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Study Justification:
– The study aimed to investigate the association between food insufficiency and viral suppression among HIV-infected pregnant and breastfeeding women in Uganda.
– This study is important because previous research has shown that food insecurity is linked to poor virologic outcomes, but this relationship has not been studied specifically during pregnancy and breastfeeding.
– Understanding the impact of food insufficiency on viral suppression in this population can help inform interventions to improve virologic outcomes among HIV-infected women.
Study Highlights:
– The study included 171 pregnant and breastfeeding Ugandan women, of which 74.9% experienced food insufficiency.
– The analysis found that food insufficiency, higher pretreatment HIV-1 RNA levels, and the use of lopinavir/ritonavir (compared to efavirenz) were associated with lower odds of sustained viral suppression.
– These findings suggest that interventions to address food security may improve virologic outcomes among HIV-infected women.
Study Recommendations:
– Based on the study findings, it is recommended to implement interventions that address food security among HIV-infected pregnant and breastfeeding women.
– These interventions could include strategies to improve access to nutritious food, such as food assistance programs or income-generating activities.
– Additionally, efforts should be made to ensure adequate adherence to antiretroviral therapy, as this was identified as a potential mediator between food insufficiency and viral suppression.
Key Role Players:
– Researchers and scientists: Conduct further research to explore the relationship between food insufficiency and viral suppression among HIV-infected pregnant and breastfeeding women.
– Healthcare providers: Incorporate food security assessments and interventions into routine care for HIV-infected pregnant and breastfeeding women.
– Policy makers: Develop and implement policies that address food security and support interventions to improve virologic outcomes among this population.
Cost Items for Planning Recommendations:
– Food assistance programs: Budget for the provision of nutritious food to HIV-infected pregnant and breastfeeding women who are experiencing food insufficiency.
– Income-generating activities: Allocate funds for initiatives that help women generate income to improve their access to food.
– Training and education: Budget for training healthcare providers on food security assessments and interventions.
– Research funding: Allocate resources for further research on the relationship between food insufficiency and viral suppression among this population.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study design is a secondary analysis of data from a clinical trial, which provides a good foundation for the research. The study includes a relatively large sample size of 171 pregnant and breastfeeding women. The analysis uses multivariable regression models to assess the association between food insufficiency and sustained viral suppression, controlling for other factors. However, the evidence could be strengthened by providing more details on the statistical methods used and addressing potential confounders more thoroughly. Additionally, the abstract does not mention any limitations of the study, which should be included to provide a balanced assessment of the evidence. To improve the evidence, the authors could consider conducting a primary study specifically focused on the association between food insufficiency and viral suppression during pregnancy and breastfeeding. They could also include a more comprehensive analysis of potential confounders and limitations in the abstract.

Food insecurity is associated with poor virologic outcomes, but this has not been studied during pregnancy and breastfeeding. We assessed sustained viral suppression from 8 weeks on antiretroviral therapy to 48 weeks postpartum among 171 pregnant and breastfeeding Ugandan women; 74.9% experienced food insufficiency. In multivariable analysis, food insufficiency [adjusted odds ratio (aOR) 0.38, 95% confidence interval (CI): 0.16 to 0.91], higher pretreatment HIV-1 RNA (aOR 0.55 per 10-fold increase, 95% CI: 0.37 to 0.82), and lopinavir/ritonavir versus efavirenz (aOR 0.49, 95% CI: 0.24 to 0.96) were associated with lower odds of sustained viral suppression. Interventions to address food security may improve virologic outcomes among HIVinfected women.

We performed a secondary analysis of data from the PROMOTE-Pregnant Women and Infants study ({“type”:”clinical-trial”,”attrs”:{“text”:”NCT00993031″,”term_id”:”NCT00993031″}}NCT00993031), which was designed to test the hypothesis that lopinavir/ritonavir would reduce the prevalence of placental malaria. Study procedures31 and results20–22,24,31–35 are described elsewhere. Briefly, the study enrolled HIV-infected, ART-naive pregnant women between 12 and 28 weeks gestation in Tororo, Uganda from December 2009 to September 2012. Women initiated ART at enrollment and were randomized to receive lopinavir/ritonavir or efavirenz, in combination with lamivudine/zidovudine. Participants received multivitamins containing iron and folic acid, iron supplements, mebendazole, and trimethoprim/sulfamethoxazole prophylaxis. Women were seen at the study clinic every 4 weeks; participants continued ART and were followed for up to 1 year postpartum. Women were counseled to breastfeed their infants for 1 year, with exclusive breastfeeding for the first 6 months of life. One participant switched from lopinavir/ritonavir to efavirenz because of the need for tuberculosis treatment; all other participants remained on their assigned study drug. This analysis includes women who participated in assessments of food security, which were performed among all participants actively enrolled from September 11, 2011, to February 4, 2012. The study protocol was approved by the Makerere University School of Medicine Research and Ethics Committee, the Uganda National Council for Science and Technology, Cornell University Institutional Review Board, and the University of California, San Francisco Committee on Human Research. Participants provided written informed consent in their preferred language. HIV-1 RNA was measured at screening, 8 weeks after ART initiation, delivery, 8, 24, and 48 weeks postpartum, and at other intervals for clinical management. HIV-1 RNA polymerase chain reaction testing was performed using COBAS AMPLICOR version 1.5 (Roche Molecular Diagnostics, Pleasanton, CA) until September 2012, and thereafter with the m2000 RealTime HIV-1 assay (Abbott Laboratories, Abbott Park, IL). The primary outcome for this analysis was sustained viral suppression from 8 weeks after ART initiation to 48 weeks postpartum. Viral suppression was dichotomized as “sustained” if HIV-1 RNA ≤400 copies per milliliter (the lower limit of detection of the assays) at all measured time points and “not sustained” if HIV-1 RNA >400 copies per milliliter at any measured time point. Sixteen participants had missing HIV-1 RNA measurements at 8 weeks on ART (N = 8) or 48 weeks postpartum (N = 8). FI was operationalized using the Household Hunger Scale (HHS),36 a subset of 3 questions about insufficient food quantities from the 9-item Household Food Insecurity Access Scale,37 which has been previously been validated for cross-cultural use38 and measured among HIV-infected adults in rural Uganda.28,39 The HHS asks the frequency over the previous 4 weeks of (1) having no food to eat of any kind in one’s household, (2) going to sleep at night hungry, and (3) going a whole day and whole night without eating. A response of “never” received 0 points, “rarely or sometimes” received 1 point, and “often” received 2 points; points were summed as a score, with a maximum score of 6 points for a response of “often” to all 3 questions. For logistic regression analyses, FI was dichotomized as no household hunger (HH) versus any HH (any positive response, indicating the presence of FI). FI was assessed once, in the season when food is most abundant in Tororo, such that FI scores would be the most conservative and have the least seasonal variation. FI interviews were conducted among 197 women, at a median of 5.6 months postpartum (interquartile range 2.2–9.2); 18 participants were interviewed before delivery. A household wealth index was generated by performing a principal component analysis of questions regarding household possession of assets, including a radio, telephone, television, motorcycle, or bicycle, among all PROMOTE participants.22 The first principal component was used to create the index. Tertiles of the wealth index were used to categorize individual household wealth relative to the cohort. Participants in the middle and highest tertiles of wealth were grouped together for comparison with those in the lowest wealth tertile. Residence within the town of Tororo was defined as urban based on GPS coordinates; other residences in Tororo district were classified as rural. Gestational age at enrollment was determined based on last menstrual period and fetal ultrasound.21 For calculation of body mass index (BMI), maternal height was measured using a wall-mounted measuring tape (Seca 206; Seca, Hamburg, Germany); maternal weight was measured using a Seca 876 mechanical scale until September 2011 and thereafter using a Seca 874 digital scale. Participants were asked whether they were breastfeeding every 4 weeks postpartum. The end of breastfeeding was defined as the last period in which a participant reported any breastfeeding (exclusive or partial). ART adherence was assessed by self-reported recall of the number of pills taken of the expected number of pills over the 3 days before each study visit. Characteristics of enrolled participants with and without FI were compared using the χ2 test or Fisher’s exact test for categorical variables and the Wilcoxon rank-sum test for continuous variables. The proportion of participants with and without FI who achieved viral suppression at individual time points was evaluated using Fisher’s exact test because of the small number of participants who did not achieve viral suppression at each time point. A 4-week measurement window was used for virologic outcomes. Logistic regression models were used to evaluate the association between sustained viral suppression, FI, and covariates in our causal model (see Figure S1, Supplemental Digital Content, http://links.lww.com/QAI/A755). We postulated that the association between FI and sustained viral suppression is mediated through effects on adherence, absorption/pharmacokinetics/bioavailability, BMI, depression, poor nutrition, and reduced protein binding of drug. ART regimen and pretreatment HIV-1 RNA were included in the multivariable model as independent predictors of sustained viral suppression. Household wealth was included in the model as a confounder of the relationship between FI and viral suppression. Age was evaluated as a potential confounder. Using the causal model as a guide, we evaluated the effect of individual predictors and confounders, and assessed overall model fit to achieve the final model. Inclusion of age in the multivariable model did not alter the association between FI and viral suppression and did not improve overall model fit; thus, age was excluded from the final model. Statistical analyses were performed using SAS software version 9.3 (SAS Institute, Cary, NC).

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

1. Food Security Programs: Implementing programs that address food insufficiency among pregnant and breastfeeding women, such as providing nutritional support, food vouchers, or access to community gardens.

2. Integrated HIV and Maternal Health Services: Developing integrated healthcare services that address both HIV treatment and maternal health needs, ensuring that pregnant and breastfeeding women receive comprehensive care.

3. Mobile Health (mHealth) Solutions: Utilizing mobile technology to provide remote access to healthcare services, including prenatal and postnatal care, HIV treatment adherence support, and nutritional counseling.

4. Community Health Workers: Training and deploying community health workers to provide education, support, and follow-up care to pregnant and breastfeeding women, particularly in rural areas where access to healthcare facilities may be limited.

5. Maternal Health Education: Implementing targeted education programs to raise awareness about the importance of maternal health, including the impact of food insufficiency on virologic outcomes, and providing information on available resources and support.

6. Collaboration and Partnerships: Strengthening collaboration between healthcare providers, researchers, policymakers, and community organizations to develop and implement innovative strategies that improve access to maternal health services and address the underlying factors contributing to poor virologic outcomes.

These innovations have the potential to improve access to maternal health and address the specific challenges faced by HIV-infected pregnant and breastfeeding women in Uganda.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health and address the issue of food insufficiency among HIV-infected pregnant and breastfeeding Ugandan women is to implement interventions that focus on improving food security. These interventions should aim to ensure that pregnant and breastfeeding women have access to an adequate and nutritious food supply throughout their pregnancy and breastfeeding period.

Some potential interventions that can be considered include:

1. Food assistance programs: Implement programs that provide pregnant and breastfeeding women with regular access to nutritious food. This can be done through the distribution of food vouchers, food packages, or cash transfers that can be used to purchase food.

2. Agricultural support: Provide support to women in cultivating their own food through initiatives such as community gardens or agricultural training programs. This can help improve food production and increase self-sufficiency.

3. Nutrition education: Offer education and counseling sessions to pregnant and breastfeeding women on the importance of a balanced diet and proper nutrition during pregnancy and breastfeeding. This can help women make informed choices about their food intake and improve their overall health.

4. Income-generating activities: Support women in generating income through skills training and microfinance programs. This can help them improve their economic status and increase their ability to afford nutritious food.

5. Collaboration with local communities and organizations: Work closely with local communities and organizations to identify and address the specific barriers to food security in the region. This can help tailor interventions to the local context and ensure their effectiveness.

By implementing these interventions, it is expected that the issue of food insufficiency among HIV-infected pregnant and breastfeeding women can be addressed, leading to improved virologic outcomes and overall maternal health.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Implement food security programs: Develop and implement programs that address food insufficiency among pregnant and breastfeeding women. This can include initiatives such as providing nutritional support, food vouchers, or income-generating activities to improve access to nutritious food.

2. Strengthen antiretroviral therapy (ART) adherence support: Enhance adherence support for HIV-infected pregnant and breastfeeding women by providing counseling, reminders, and education on the importance of consistent ART use. This can help improve viral suppression and overall health outcomes.

3. Integrate maternal health services: Integrate maternal health services with HIV care and treatment programs to ensure comprehensive and coordinated care for pregnant and breastfeeding women. This can include providing antenatal care, HIV testing, and counseling services in the same facility to improve access and convenience.

4. Promote community engagement and awareness: Increase community awareness about the importance of maternal health and HIV care during pregnancy and breastfeeding. This can be done through community outreach programs, education campaigns, and involving community leaders and influencers to promote positive health-seeking behaviors.

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 of pregnant and breastfeeding women who would benefit from the recommendations. This could be based on geographic location, HIV status, or other relevant criteria.

2. Collect baseline data: Gather data on the current access to maternal health services, food security status, ART adherence rates, and other relevant indicators. This can be done through surveys, interviews, or existing data sources.

3. Develop a simulation model: Create a simulation model that incorporates the different recommendations and their potential impact on improving access to maternal health. This model should consider factors such as the number of women reached, the effectiveness of interventions, and the potential barriers or challenges.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the potential impact of the recommendations. This can involve adjusting different variables, such as the coverage of food security programs or the level of ART adherence support, to understand their influence on outcomes.

5. Analyze results: Analyze the simulation results to determine the potential impact of the recommendations on improving access to maternal health. This can include assessing changes in key indicators such as viral suppression rates, food security status, and utilization of maternal health services.

6. Refine and validate the model: Refine the simulation model based on the analysis of results and validate it using additional data or expert input. This can help ensure the accuracy and reliability of the model for future use.

7. Communicate findings and make recommendations: Present the findings of the simulation analysis to relevant stakeholders, such as policymakers, healthcare providers, and community organizations. Use the results to make evidence-based recommendations for improving access to maternal health and advocate for their implementation.

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