Challenges to achieving and maintaining viral suppression among children living with HIV

The state of the pediatric HIV epidemic in Lesotho

OBJECTIVE

Lesotho does not have reliable data on HIV prevalence in children, relying on estimates generated from program data. The 2016 Lesotho Population-based HIV Impact Assessment (LePHIA) aimed to determine HIV prevalence among children 0-14 years to assess the effectiveness of the prevention of mother-to-child transmission (PMTCT) program and guide future policy.

METHODS

A nationally representative sample of children under 15 years underwent household-based, two-stage HIV testing from November 2016-May 2017. Children <18 months with a reactive screening test were tested for HIV infection using total nucleic acid (TNA) PCR. Parents (61.1%) or legal guardians (38.9%) provided information on children's clinical history. Children aged 10-14 years also answered a questionnaire on knowledge and behaviors.

RESULTS

HIV prevalence was 2.1% [95% confidence interval (CI): 1.5-2.6]. Prevalence in 10-14 year olds (3.2%; 95% CI: 2.1, 4.2) was significantly greater compared to 0-4 year olds (1.0%; 95% CI: 0.5, 1.6). HIV prevalence in girls and boys was 2.6% (95% CI: 1.8-3.3) and 1.5% (95% CI: 1.0-2.1), respectively. Based on reported status and/or the presence of detectable antiretrovirals, 81.1% (95% CI: 71.7-90.4) of HIV-positive children were aware of their status, 98.2% (95% CI: 90.7-100.0) of those aware were on antiretroviral therapy (ART) and 73.9% (95% CI: 62.1-85.8) of those on ART were virally suppressed.

CONCLUSIONS

Despite the roll-out of Option B+ in Lesotho in 2013, pediatric HIV prevalence remains high. Further research is required to understand the greater prevalence among girls, barriers to PMTCT, and how to better achieve viral suppression in children with HIV.

Effectiveness of a community-based intervention (Konga model) to address factors contributing to low viral load suppression among children living with HIV in Tanzania: a preliminary, cluster, randomized clinical trial report

BACKGROUND

Despite effective antiretroviral therapy (ART) coverage in other groups living with human immunodeficiency virus (HIV) in Tanzania, virologic suppression among HIV-positive children receiving ART remains unacceptably low. This study evaluated the effectiveness of a community-based intervention (Konga model) in addressing the factor contributing to low viral load suppression among children living with HIV in the Simiyu region, Tanzania.

METHODS

This study used a parallel cluster randomized trial. The cluster was only eligible if the health facility provided HIV care and treatment. All eligible resident children aged 2‒14 years who attended the cluster with a viral load > 1,000 cells/mm were enrolled. The intervention included three distinct activities: adherence counseling, psychosocial support, and co-morbidity screening such as tuberculosis. The evaluation was based on patient-centered viral load outcomes measured at baseline and 6 months later. Using a pre- and post-test design, we compared the means of participants in the intervention and control groups. We performed an analysis of covariance. The effect of a Konga was calculated using omega-squared. We used F-tests, with their corresponding p-values, as measures of improvement.

RESULTS

We randomly assigned 45 clusters to the treatment (15) and control (30) groups. We enrolled 82 children with amedian age of 8.8 years(interquartile range(IQR);5.5-11.2), and a baseline median viral load of 13,150 cells/mm (interquartile range (IQR);3600-59,200). After the study, both children in each group had good adherence, with children in the treatment group scoring slightly higher than those in the control group, 40 (97.56%) versus 31(75%61), respectively. At the end of the study, the difference in viral load suppression between the two groups was significant. The median viral load suppression at the end of the study was 50 cells/mm [IQR, (20-125)]. After adjusting for the viral load before the intervention, the effect size of the Konga intervention explained 4% (95% confidence interval [0%, 14.1%]) of the viral load variation at the end of the intervention.

CONCLUSION

The Konga model demonstrated significant positive effects that improved viral load suppression. We recommend implementing the Konga model trial in other regions to improve the consistency of results.

A two-day workshop reviewing Canadian provincial and national HIV care cascade indicators, reporting, challenges, and recommendations

BACKGROUND

The HIV care cascade is an indicators-framework used to assess achievement of HIV clinical targets including HIV diagnosis, HIV care initiation and retention, initiation of antiretroviral therapy, and attainment of viral suppression for people living with HIV.

METHODS

The HIV Care Cascade Research Development Team at the CIHR Canadian HIV Trials Network Clinical Care and Management Core hosted a two-day virtual workshop to present HIV care cascade data collected nationally from local and provincial clinical settings and national cohort studies. The article summarizes the workshop presentations including the indicators used and available findings and presents the discussed challenges and recommendations.

RESULTS

Identified challenges included (1) inconsistent HIV care cascade indicator definitions, (2) variability between the use of nested UNAIDS's targets and HIV care cascade indicators, (3) variable analytic approaches based on differing data sources, (4) reporting difficulties in some regions due to a lack of integration across data platforms, (5) lack of robust data on the first stage of the care cascade at the sub-national level, and (6) inability to integrate key socio-demographic data to estimate population-specific care cascade shortfalls.

CONCLUSION

There were four recommendations: standardization of HIV care cascade indicators and analyses, additional funding for HIV care cascade data collection, database maintenance and analyses at all levels, qualitative interviews and case studies characterizing the stories behind the care cascade findings, and employing targeted positive-action programs to increase engagement of key populations in each HIV care cascade stage.

Studying patterns and predictors of HIV viral suppression using A Big Data approach: a research protocol

Background

Given the importance of viral suppression in ending the HIV epidemic in the US and elsewhere, an optimal predictive model of viral status can help clinicians identify those at risk of poor viral control and inform clinical improvements in HIV treatment and care. With an increasing availability of electronic health record (EHR) data and social environmental information, there is a unique opportunity to improve our understanding of the dynamic pattern of viral suppression. Using a statewide cohort of people living with HIV (PLWH) in South Carolina (SC), the overall goal of the proposed research is to examine the dynamic patterns of viral suppression, develop optimal predictive models of various viral suppression indicators, and translate the models to a beta version of service-ready tools for clinical decision support.

Methods

The PLWH cohort will be identified through the SC Enhanced HIV/AIDS Reporting System (eHARS). The SC Office of Revenue and Fiscal Affairs (RFA) will extract longitudinal EHR clinical data of all PLWH in SC from multiple health systems, obtain data from other state agencies, and link the patient-level data with county-level data from multiple publicly available data sources. Using the deidentified data, the proposed study will consist of three operational phases: Phase 1: “Pattern Analysis” to identify the longitudinal dynamics of viral suppression using multiple viral load indicators; Phase 2: “Model Development” to determine the critical predictors of multiple viral load indicators through artificial intelligence (AI)-based modeling accounting for multilevel factors; and Phase 3: “Translational Research” to develop a multifactorial clinical decision system based on a risk prediction model to assist with the identification of the risk of viral failure or viral rebound when patients present at clinical visits.

Discussion

With both extensive data integration and data analytics, the proposed research will: (1) improve the understanding of the complex inter-related effects of longitudinal trajectories of HIV viral suppressions and HIV treatment history while taking into consideration multilevel factors; and (2) develop empirical public health approaches to achieve ending the HIV epidemic through translating the risk prediction model to a multifactorial decision system that enables the feasibility of AI-assisted clinical decisions.

Effectiveness of a community-based intervention (Konga model) to address the factors contributing to viral load suppression among children living with HIV in Tanzania: A cluster-randomized clinical trial protocol

This study aims to test the effectiveness of a community-based intervention (Konga model) to improve viral-load suppression in children living with human immunodeficiency virus (HIV) and enrolled in care and treatment centers in Tanzania mainland. The study will be a cluster-randomized clinical trial study designed with both intervention and control arms. The study will involve 268 children with a viral load of &gt; 1,000 copies/mLwho are aged between 2 and 14 years. The children will be randomly allocated into the intervention and control arms. The intervention will include three distinct activities: adherence and retention counseling, psychosocial support, and comorbidity screening (i.e., tuberculosis [TB]). The outcome of the study will be assessment of the success of the intervention to increase medication adherence with the immediate result of reducing the viral load below 1,000 copies/mL. Descriptive statistics will be used to calculate the mean, median, standard deviation, and interquartile range of continuous data. We will use frequencies and percentages to summarize categorical data. As for the primary outcome (proportion of HIV- infected children with viral suppression), we will compare the proportion of successful participants in the intervention and control arms. Proportions and tests for different proportions will be used as a measure of improvement. All statistical tests will be two-sided, and p &lt; 0.05 will be considered statistically significant.

High HIV prevalence among decedents received by two high-volume mortuaries in Kisumu, western Kenya, 2019

Background

Accurate data on HIV-related mortality are necessary to evaluate the impact of HIV interventions. In low- and middle-income countries (LMIC), mortality data obtained through civil registration are often of poor quality. Though not commonly conducted, mortuary surveillance is a potential complementary source of data on HIV-associated mortality.

Methods

During April-July 2019, we assessed HIV prevalence, the attributable fraction among the exposed, and the population attributable fraction among decedents received by two high-volume mortuaries in Kisumu County, Kenya, where HIV prevalence in the adult population was estimated at 18% in 2019 with high ART coverage (76%). Stillbirths were excluded. The two mortuaries receive 70% of deaths notified to the Kisumu East civil death registry; this registry captures 45% of deaths notified in Kisumu County. We conducted hospital chart reviews to determine the HIV status of decedents. Decedents without documented HIV status, including those dead on arrival, were tested using HIV antibody tests or polymerase chain reaction (PCR) consistent with national HIV testing guidelines. Decedents aged less than 15 years were defined as children. We estimated annual county deaths by applying weights that incorporated the study period, coverage of deaths, and mortality rates observed in the study.

Results

The two mortuaries received a total of 1,004 decedents during the study period, of which 95.1% (955/1004) were available for study; 89.1% (851/955) of available decedents were enrolled of whom 99.4% (846/851) had their HIV status available from medical records and post-mortem testing. The overall population-based, age- and sex-adjusted mortality rate was 12.4 per 1,000 population. The unadjusted HIV prevalence among decedents was 28.5% (95% confidence interval (CI): 25.5–31.6). The age- and sex-adjusted mortality rate in the HIV-infected population (40.7/1000 population) was four times higher than in the HIV-uninfected population (10.2/1000 population). Overall, the attributable fraction among the HIV-exposed was 0.71 (95% CI: 0.66–0.76) while the HIV population attributable fraction was 0.17 (95% CI: 0.14–0.20). In children the attributable fraction among the exposed and population attributable fraction were 0.92 (95% CI: 0.89–0.94) and 0.11 (95% CI: 0.08–0.15), respectively.

Conclusions

Over one quarter (28.5%) of decedents received by high-volume mortuaries in western Kenya were HIV-positive; overall, HIV was considered the cause of death in 17% of the population (19% of adults and 11% of children). Despite substantial scale-up of HIV services, HIV disease remains a leading cause of death in western Kenya. Despite progress, increased efforts remain necessary to prevent and treat HIV infection and disease.

Impact of Early Versus Late Antiretroviral Treatment Initiation on Naive T Lymphocytes in HIV-1-Infected Children and Adolescents - The-ANRS-EP59-CLEAC Study

Background

The early initiation of antiretroviral therapy (ART) in HIV-1-infected infants reduces mortality and prevents early CD4 T-cell loss. However, the impact of early ART on the immune system has not been thoroughly investigated in children over five years of age or adolescents. Here, we describe the levels of naive CD4 and CD8 T lymphocytes (CD4/CD8TN), reflecting the quality of immune reconstitution, as a function of the timing of ART initiation (early (<6 months) versus late (≥24 months of age)).

Methods

The ANRS-EP59-CLEAC study enrolled 27 children (5-12 years of age) and nine adolescents (13-17 years of age) in the early-treatment group, and 19 children (L-Ch) and 21 adolescents (L-Ado) in the late-treatment group. T lymphocytes were analyzed by flow cytometry and plasma markers were analyzed by ELISA. Linear regression analysis was performed with univariate and multivariate models.

Results

At the time of evaluation, all patients were on ART and had a good immunovirological status: 83% had HIV RNA loads below 50 copies/mL and the median CD4 T-cell count was 856 cells/µL (interquartile range: 685-1236 cells/µL). In children, early ART was associated with higher CD8TN percentages (medians: 48.7% vs. 31.0%, P = 0.001), and a marginally higher CD4TN (61.2% vs. 53.1%, P = 0.33). In adolescents, early ART was associated with low CD4TN percentages and less differentiated memory CD8 T cells. CD4TN and CD8TN levels were inversely related to cellular activation and gut permeability.

Conclusion

In children and adolescents, the benefits of early ART for CD8TN were clear after long-term ART. The impact of early ART on CD4TN appears to be modest, because pediatric patients treated late respond to HIV-driven CD4 T-lymphocyte loss by the de novo production of TN cells in the thymus. Our data also suggest that current immune activation and/or gut permeability has a negative impact on TN levels.

Clinical Trial Registration

ClinicalTrials.gov, identifier NCT02674867.