Performance and Outcomes of Routine Viral Load Testing in People Living with HIV Newly Initiating ART in the Integrated HIV Care Program in Myanmar between January 2016 and December 2017

Near point-of-care HIV viral load testing: Cascade after high viral load in suburban Yangon, Myanmar

INTRODUCTION

HIV viral load (VL) testing in resource-limited settings is often centralised, limiting access. In Myanmar, we assessed outcomes according to VL access and the VL cascade (case management after a first high VL result) before and after near point-of-care (POC) VL was introduced.

METHODS

Routine programme data from people living with HIV (PLHIV) on antiretroviral therapy (ART) were used. We assessed the odds of getting a VL test done by year. Attrition and mortality two years after ART initiation were compared between three groups of PLHIV with different access to VL testing using Kaplan-Meier analysis. We compared VL cascades in those with a first VL result before and after near POC VL testing became available. With logistic regression, predictors of confirmed virological failure after a first high VL in the POC era were explored.

RESULTS

Among 4291 PLHIV who started ART between July 2009 and June 2018, 794 (18.5%) became eligible for VL testing when it was not available, 2388 (55.7%) when centralised laboratory-based VL testing was available, and 1109 (25.8%) when near POC VL testing was available. Between 2010 and 2019, the odds of getting a VL test among those eligible increased with each year (OR: 5.21 [95% CI: 4.95-5.48]). Attrition and mortality were not different in the three groups. When comparing PLHIV with a first VL result before and after implementation of the near POC VL testing, in the latter, more had a first VL test (92% versus 15%, p<0.001), less had a first high VL result (5% versus 14%, p<0.001), and more had confirmed virological failure (67% versus 47%, p = 0.013). Having a first VL ≥5000 copies/mL after near POC implementation was associated with confirmed virological failure (adjusted OR: 2.61 [95% CI: 1.02-6.65]).

CONCLUSION

Near POC VL testing enabled rapid increase of VL coverage and a well-managed VL cascade in Myanmar.

Virological failure and treatment switch after ART initiation among people living with HIV with and without routine viral load monitoring in Asia

Introduction

Viral load (VL) testing is still challenging to monitor treatment responses of antiretroviral therapy (ART) for HIV treatment programme in Asia. We assessed the association between routine VL testing and virological failure (VF) and determine factors associated with switching to second‐line regimen.

Methods

Among 21 sites from the TREAT Asia HIV Observational Database (TAHOD), people living with HIV (PLHIV) aged ≥18 years initiating ART from 2003 to 2021 were included. We calculated the average number of VL tests per patient per year between the date of ART initiation and the most recent visit. If the median average number of VL tests was ≥ 0.80 per patient per year, the site was classified as a routine VL site. A site with a median < 0.80 was classified into the non‐routine VL sites. VF was defined as VL ≥1000 copies/ml during first‐line therapy. Factors associated with VF were analysed using generalized estimating equations with Poisson distribution.

Results

Of 6277 PLHIV starting ART after 2003, 3030 (48%) were from 11 routine VL testing sites and 3247 (52%) were from 10 non‐routine VL testing sites. The median follow‐up was 9 years (IQR 5–13). The median age was 35 (30–42) years; 68% were male and 5729 (91%) started non‐nucleoside reverse‐transcriptase inhibitor‐based regimen. The median pre‐ART CD4 count in PLHIV from routine VL sites was lower compared to non‐routine VL sites (144 vs. 156 cells/mm³, p <0.001). Overall, 1021 subsequent VF at a rate of 2.15 (95% CI 2.02–2.29) per 100 person‐years (PY). VF was more frequent at non‐routine VL sites (adjusted incidence rate ratio 2.85 [95% CI 2.27–3.59]) compared to routine VL sites. Other factors associated with an increased rate of VF were age <50 years and CD4 count <350 cells/mm³. A total of 817 (13%) patients switched to second‐line regimen at a rate of 1.44 (95% CI 1.35–1.54) per 100 PY. PLHIV at routine VL monitoring sites were at higher risk of switching than those at non‐routine VL sites (adjusted sub‐hazard ratio 1.78 95% CI [1.17–2.71]).

Conclusions

PLHIV from non‐routine VL sites had a higher incidence of persistent VF and a low switching regimen rate, reflecting possible under‐utilized VL testing.

Viral load monitoring for people living with HIV in the era of test and treat: progress made and challenges ahead - a systematic review

Background

In 2016, we conducted a systematic review to assess the feasibility of treatment monitoring for people living with HIV (PLHIV) receiving antiretroviral therapy (ART) in low and middle-income countries (LMICs), in line with the 90-90-90 treatment target. By 2020, global estimates suggest the 90-90-90 target, particularly the last 90, remains unattainable in many LMICs. This study aims to review the progress and identify needs for public health interventions to improve viral load monitoring and viral suppression for PLHIV in LMICs.

Methods

A literature search was conducted using an update of the initial search strategy developed for the 2016 review. Electronic databases (Medline and PubMed) were searched to identify relevant literature published in English between Dec 2015 and August 2021. The primary outcome was initial viral load (VL) monitoring (the proportion of PLHIV on ART and eligible for VL monitoring who received a VL test). Secondary outcomes included follow-up VL monitoring (the proportion of PLHIV who received a follow-up VL after an initial elevated VL test), confirmation of treatment failure (the proportion of PLHIV who had two consecutive elevated VL results) and switching treatment regimen rates (the proportion of PLHIV who switched treatment regimen after confirmation of treatment failure).

Results

The search strategy identified 1984 non-duplicate records, of which 34 studies were included in the review. Marked variations in initial VL monitoring coverage were reported across study settings/countries (range: 12–93% median: 74% IQR: 46–82%) and study populations (adults (range: 25–96%, median: 67% IQR: 50–84%), children, adolescents/young people (range: 2–94%, median: 72% IQR: 47–85%), and pregnant women (range: 32–82%, median: 57% IQR: 43–71%)). Community-based models reported higher VL monitoring (median: 85%, IQR: 82-88%) compared to decentralised care at primary health facility (median: 64%, IRQ: 48-82%). Suboptimal uptake of follow-up VL monitoring and low regimen switching rates were observed.

Conclusions

Substantial gaps in VL coverage across study settings and study populations were evident, with limited data availability outside of sub-Saharan Africa. Further research is needed to fill the data gaps. Development and implementation of innovative, community-based interventions are required to improve VL monitoring and address the “failure cascade” in PLHIV on ART who fail to achieve viral suppression.

Evaluation of Namibia's antiretroviral therapy guidelines' recommendations for switching from first-line to second-line, using predictors of first-line treatment failure: an exploratory study

OBJECTIVES

The objective of this study was to find out the extent to which the antiretroviral therapy (ART) switching guidelines were complied with and to assess whether immediate switching from first- to second-line ART would have been appropriate than attempting to comply with the guidelines.

METHODS

A case-control study. Cases and controls were patients on second- and first-line ART, respectively. Regression analysis was used to identify factors that were associated with switching to second-line ART. Confidence level was 95% and significance at a p-value <0.05.

RESULTS

81 cases and 102 controls were included. VLs at six and 9 months were implemented for 8.2% and 2.7%, respectively. Switching predictors were poor adherence (adjusted Hazard Ratio [aHR] = 20.3 (p = 0.013); a first VL >1000 copies/ml (aHR = 20.2), <0.001); opportunistic infections (aHR = 12.9, p = 0.006); male gender (aHR = 5.2, p = 0.003); and lack of adherence counseling (aHR = 3.8 p = 0.024).

CONCLUSION

AVL >1000 copies/ml was a predictor of switching. New local research is underway, with a large number of patients, to assess whether this finding applies to the dolutegravir-based regimens.