Third-line antiretroviral therapy in Africa: effectiveness in a Southern African retrospective cohort study

HIV drug resistance, early treatment outcomes and impact of guidelines compliance after protease inhibitor-based second-line failure in a dedicated resistance clinic in western Kenya: a retrospective cohort study

INTRODUCTION

Data on drug resistance, viral outcomes and guidelines compliance following protease inhibitor (PI)-based second-line failure in low- and middle-income countries are limited, particularly in the era of dolutegravir-containing antiretroviral therapy (ART).

METHODS

We conducted a retrospective cohort study of people living with HIV (PLWH) ≥3 years old with second-line viral failure (VF, ≥1000 copies/ml) at the Academic Model Providing Access to Healthcare from 2011 to 2021. We assessed resistance prevalence and patterns at second-line VF, stratified by PI (atazanavir/ritonavir or lopinavir/ritonavir), and examined correlations of resistance and treatment strategies with VF at 6-18 months post-genotype. Analyses employed inverse probability weighting, adjusting for calendar year, age, gender, ART duration, PI at genotyping and class-specific resistance, and considered guidelines-supported versus unsupported strategies.

RESULTS

Of 187 participants (median age 41 years, 54% female, 41% on atazanavir/ritonavir, 59% on lopinavir/ritonavir-based ART), 91% had any resistance (NRTI 79%, NNRTI 80%, major PI 37%, dual-class 36%, triple-class 37%). Predicted resistance to third-line options was 67% for etravirine or rilpivirine and 10% for darunavir/ritonavir. Despite higher resistance detected on atazanavir/ritonavir versus lopinavir/ritonavir, predicted darunavir/ritonavir resistance was similar. At median 9 months post-genotype, 95% of 173 participants with available data were on a guidelines-supported regimen (55% second-line; 45% third-line, 86% dolutegravir-based), of whom 28% had post-genotype VF. Of the 5% not on guidelines-supported regimens, 71% had post-genotype VF. Adjusted odds of VF were higher for guidelines-unsupported versus supported regimens (OR = 4.52; 95% CI 1.02-26.24), and odds of VF were 97% lower for those on third-line versus second-line (OR = 0.07; 95% CI 0.02-0.20).

CONCLUSIONS

We found high levels of drug resistance and early VF following PI-based second-line failure in Kenya. Treatment guidelines compliance and switches to third-line, even within guidelines recommendations, improved early viral outcomes. Findings highlight the vulnerability of PLWH with advanced ART experience and resistance profiles, and the importance of following guidelines and improving access to third-line and drug resistance testing, particularly in the new ART era.

Viral load suppression rate of third-line antiretroviral therapy and its association with gender among HIV patients after second-line treatment failure in Africa: a systematic review and meta-analysis

INTRODUCTION

Previous works of literatures on the viral load suppression rate of third line antiretroviral therapy in Africa has produced inconsistent and inconclusive results, with rates varying between 62% and 95%. This variability poses challenges for policymakers and healthcare providers in making informed decisions. This systematic review and meta-analysis aimed to determine the overall viral load suppression rate of third line antiretroviral therapy in Africa and to clarify the contradictory relationship between gender and viral load suppression, based on existing primary studies.

METHODS

A systematic review and meta-analysis were conducted using PubMed, Medline, Cochrane Library, Henari, African Journals Online (AJOL), Web of science, and Google Scholar to access studies up to December 6, 2024. The PRISMA guideline, JBI, and Newcastle Ottawa quality assessment scale checklists were used. Heterogeneity was evaluated with Cochrane's Q and I2 statistics. Publication bias was checked using a funnel plot, Begg's and Egger's test, followed by the DerSimonian and Laird random effects model. Meta-regression, subgroup and sensitivity analyses were also performed. The odds ratio with a 95% confidence interval was used to assess the association of gender with the viral load suppression rate in patients on third-line antiretroviral therapy. All analyses were conducted using Stata 18.

RESULTS

A total of 14 primary studies with a total sample size of 1791 were included. The pooled magnitude of the viral load suppression rate was 79.82% (95%CI: 75.75%, 83.90%). Around 75% of the included studies' heterogeneity were explained by country, study year, study settings and quality level of the study level variables. There was not statistically significant association of gender with viral load suppression rate of third line antiretroviral therapy.

CONCLUSION AND RECOMMENDATION

The pooled magnitude of the viral load suppression rate was 79.82%. There was not statistically significant association of gender with viral load suppression rate of third line antiretroviral therapy. Therefore, to maintain and further improve the strong viral load suppression rates of TLARVT in Africa, it is essential to focus on appropriate regimen selection, patient counseling and switching, adherence support, and regular viral load testing. Future studies with larger sample sizes should explore the association between gender and viral load suppression to provide conclusive findings.

Virological outcomes of third-line antiretroviral therapy in a global context: a systematic reviews and meta-analysis

BACKGROUND

Despite remarkable progress, HIV's influence on global health remains firm, demanding continued attention. Understanding the effectiveness of third-line antiretroviral therapy in individuals who do not respond to second-line drugs is crucial for improving treatment strategies. The virological outcomes of third-line antiretroviral therapy vary from study to study, highlighting the need for robust global estimates.

METHODS

A comprehensive search of databases including PubMed, MEDLINE, International Scientific Indexing, Web of Science, and Google Scholar, was conducted. STATA version 17 statistical software was used for analysis. A random-effects model was applied to compute the pooled estimates. Subgroup analysis, heterogeneity, publication bias, and sensitivity analysis were also performed. The prediction interval is computed to estimate the interval in which a future study will fall. The GRADE tool was also used to determine the quality of the evidence.

RESULTS

In this systematic review and meta-analysis, 15 studies involving 1768 HIV patients receiving third-line antiretroviral therapy were included. The pooled viral suppression of third-line antiretroviral therapy was 76.6% (95% CI: 71.5- 81.7%). The viral suppression rates at 6 and 12 months were 75.5% and 78.6%, respectively. Furthermore, third-line therapy effectively suppressed viral RNA copy numbers to ≤ 50 copies/mL, ≤ 200 copies/mL, and ≤ 400 copies/mL with rates of 70.7%, 85.4%, and 85.7%, respectively.

CONCLUSION

More than three-fourths of patients on third-line antiretroviral therapy achieve viral suppression. Consequently, improving access to and timely initiation of third-line therapy may positively impact the quality of life for those with second-line treatment failure.

Virologic outcomes with tenofovir-lamivudine-dolutegravir in adults failing PI-based second-line ART

Background

In South African antiretroviral guidelines, selected patients failing second-line protease inhibitor (PI)-based therapy qualify for genotypic resistance testing - those with PI resistance receive darunavir-based third-line regimens; those without PI resistance continue current regimen with adherence support. The Western Cape province, from September 2020, implemented a strategy of tenofovir-lamivudine-dolutegravir (TLD) for patients, provided there was no tenofovir resistance, irrespective of PI resistance.

Objectives

To evaluate virologic outcomes with TLD among adults failing second-line PI regimens with no tenofovir resistance.

Method

An observational cohort study comparing outcomes in patients switched to TLD with those continuing the same PI or switched to darunavir-based regimens. Follow-up was until virologic suppression (HIV-1 RNA < 400 copies/mL), or at the point of censoring.

Results

One hundred and thirty-three patients switched to TLD, 101 to darunavir-based regimens, and 121 continued with the same PI. By 12 months, among patients with PI resistance, 42/47 (89%) in the TLD group had HIV-1 RNA < 400 copies/mL compared to 91/99 (92%) in the darunavir group (hazard ratio, 1.11; 95% confidence interval, 0.77-1.60). In patients without PI resistance, 66/86 (77%) in the TLD group had HIV-1 RNA < 400 copies/mL compared to 42/120 (35%) in those continuing with the same PI (hazard ratio, 4.03; 95% confidence interval, 2.71-5.98). Two patients receiving TLD developed virologic failure with high-level dolutegravir resistance.

Conclusion

Amongst patients failing second-line PI with no PI resistance, switching to TLD was associated with higher virologic suppression, likely due to improved adherence. Virologic outcomes were similar in patients with PI resistance switched to darunavir-based regimens or TLD.

Evaluation of Circulating and Archived HIV-1 Integrase Drug-Resistance Variants among Patients on Third-Line ART in Cameroon: Implications for Dolutegravir-Containing Regimens in Resource-Limited Settings

To ensure the long-term efficacy of dolutegravir (DTG), we evaluated the genotypic profile in viral reservoirs among patients on third-line (3L) antiretroviral therapy (ART) in Cameroon, according to prior exposure to raltegravir (RAL). A facility-based study was conducted from May through December 2021 among patients on 3L ART from HIV treatment centers in Yaoundé and Douala. Viral load was measured, and genotyping was performed on plasma RNA and proviral DNA. HIV-1 drug resistance mutations were interpreted using HIVdb.v9.1 and phylogeny analysis was performed using MEGA.v7, with P < 0.05 considered significant. Of the 12,093 patients on ART, 53 fully met our inclusion criteria. The median (IQR) age was 51 years (40 to 55 years), and the male/female ratio was 4/5. The median duration on integrase strand-transfer inhibitors (INSTI)-containing regimens was 18 months (12 to 32 months), and 15.09% (8/53) were exposed to RAL. The most administered 3L ART was TDF+3TC+DTG+DRV/r (33.96%, 18/53). Only 5.66% (3/53) had unsuppressed viremia (>1000 copies/mL). Resistance testing in proviral DNA was successful for 18/22 participants and revealed 1/18 patients (5.56%, in the RAL-arm) with archived mutations at major resistance positions (G140R and G163R). Five subtypes were identified, CRF02_AG (12/18), CRF22_01AE (3/18), A1 (1/18), G (1/18), and F2 (1/18). In Cameroon, 3L-experienced patients had a good virological response with a low level of archived mutations in the integrase. This finding underscored the use of DTG-containing ART for heavily treated patients in similar programmatic settings. However, patients with prior exposure to RAL should be closely monitored following a stratified or personalized approach to mitigate risks of INSTI-resistance, alongside pharmacovigilance. IMPORTANCE We described the analysis of the genotypes of the population within third-line antiviral therapy in Cameroon, with a focus on defining the effects of prior raltegravir (RAL) treatment and resistance mutations for current dolutegravir (DTG) treatment. While supporting the current transition to DTG-containing ART in resource-limited settings toward the achievement of the UNAIDS' goal of HIV elimination by 2030, our findings suggested that RAL-exposed patients may need a specific monitoring approach either in a stratified or personalized model of third-line ART to ensure the long-term success of DTG-containing regimens.

A systematic review and meta-analysis assessing antiretroviral therapy for treatment-experienced HIV adult patients using an optimized background therapy approach: is there evidence enough for a standardized third-line strategy?

BACKGROUND

The World Health Organization (WHO) has identified the need for evidence on third-line antiretroviral therapy (ART) for adults living with HIV/AIDS, given that some controversy remains as to the best combinations of ART for experienced HIV-1-infected patients. Therefore, we conducted a systematic review and meta-analysis to (i) assess the efficacy of third-line therapy for adults with HIV/AIDS based on randomized controlled trials (RCT) that adopted the "new antiretroviral (ARV) + optimized background therapy (OBT)" approach and (ii) address the key issues identified in WHO's guidelines on the use of third-line therapy.

METHODS

MEDLINE, EMBASE, LILACS, ISI Web of Science, SCOPUS, and Cochrane Central Register of Controlled Trials were searched for RCTs assessing third-line ARV therapy that used an OBT approach between 1966 and 2015. Data was extracted using an Excel-structured datasheet based on the Consolidated Standards of Reporting Trials (CONSORT) recommendations. The primary outcome of this meta-analysis was the proportion of patients reaching undetectable HIV RNA levels (< 50 copies/mL) at 48 weeks of follow-up. Included studies were evaluated using the Cochrane's Risk of Bias assessment tool. Summarized evidence was rated according to the GRADE approach.

RESULTS

Eighteen trials assessing 9 new ARV + OBT combinations defined as third-line HIV therapy provided the efficacy data: 7 phase IIb trials and 11 phase III trials. Four of the 18 trials provided extension data, thus resulting in 14 trials providing 48-week efficacy data. In the meta-analysis, considering the outcome regarding the proportion of patients with a viral load below 50 copies/ml at 48 weeks, 9 out of 14 trials demonstrated the superiority of the new combination being studied (risk difference = 0.18, 95% CI 0.13-0.23). The same analysis stratified by the number of fully active ARVs demonstrated a risk difference of 0.29 (95% CI 0.12-0.46), 0.28 (95% CI 0.17-0.38) and 0.17 (95% CI 0.10-0.24) respectively from zero, one, and two or more active drugs strata. Nine of the 18 trials were considered to have a high risk of bias.

CONCLUSIONS

Efficacy results demonstrated that the groups of HIV-experienced patients receiving the new ARV + OBT were more likely to achieve viral suppression when compared to the control groups. However, most of these trials may be at a high risk of bias. Thus, there is still not enough evidence to stipulate which combinations are the most effective for therapeutic regimens that are to be used sequentially due to documented multi-resistance.

Treatment-Experienced Patients on Third-Line Therapy: A Retrospective Cohort of Treatment Outcomes at the HIV Advanced Treatment Centre, University Teaching Hospital, Zambia

Antiretroviral therapy (ART) uptake continues to increase across sub-Saharan Africa and emergence of drug-resistant HIV mutations poses significant challenges to management of treatment-experienced patients with virologic failure. In Zambia, new third-line ART (TLART) guidelines including use of dolutegravir (DTG) were introduced in 2018. We assessed virologic suppression, immunologic response, and HIV drug-resistant mutations (DRMs) among patients on TLART at the University Teaching Hospital (UTH) in Lusaka, Zambia. We conducted a retrospective review of patients enrolled at UTH on TLART for >6 months between January 2010 and June 30, 2021. CD4 and HIV viral load (VL) at TLART initiation and post-initiation were assessed to determine virologic and immunologic outcomes. Regression analysis using bivariate and multivariate methods to describe baseline characteristics, virologic, and immunologic response to TLART was performed. A total of 345 patients met inclusion criteria; women comprised 57.6% (199/345) of the cohort. Median age at HIV diagnosis was 30 (interquartile range: 17.3-36.8). In 255 (73.8%) patients with at least two VLs, VL decreased from mean of 3.45 log₁₀ copies/mL (standard deviation [SD]: 2.02) to 1.68 log₁₀ copies/mL (SD: 1.79). Common ARVs prescribed included DTG (89.9%), tenofovir disoproxil fumarate (68.7%), and darunavir boosted with ritonavir (66.4%); 170 (49.3%) patients had genotypes; mutations consisted of 88.8% nucleoside reverse transcriptase inhibitor, 86.5% non-nucleoside reverse transcriptase inhibitor, and 55.9% protease inhibitor. VL suppression to <1,000 copies/mL was achieved in 225 (78.9%) patients. DRM frequency ranged from 56% to 89% depending on drug class. Treatment-experienced patients receiving TLART in Zambia achieved high rates of suppression despite high proportions of HIV mutations illustrating TLART effectiveness in the DTG era.

Third‐line antiretroviral therapy, including raltegravir (RAL), darunavir (DRV/r) and/or etravirine (ETR), is well tolerated and achieves durable virologic suppression over 144 weeks in resource‐limited settings: ACTG A5288 strategy trial

Introduction

ACTG A5288 was a strategy trial conducted in diverse populations from multiple continents of people living with HIV (PLWH) failing second‐line protease inhibitor (PI)‐based antiretroviral therapy (ART) from 10 low‐ and middle‐income countries (LMICs). Participants resistant to lopinavir (LPV) and/or multiple nucleotide reverse transcriptase inhibitors started on third‐line regimens that included raltegravir (RAL), darunavir/ritonavir (DRV/r) and/or etravirine (ETR) according to their resistance profiles. At 48 weeks, 87% of these participants achieved HIV‐1 RNA ≤200 copies/ml. We report here long‐term outcomes over 144 weeks.

Methods

Study participants were enrolled from 2013 to 2015, prior to the availability of dolutegravir in LMICs. “Extended Follow‐up” of the study started after the last participant enrolled had reached 48 weeks and included participants still on antiretroviral (ARV) regimens containing RAL, DRV/r and/or ETR at that time. RAL, DRV/r and ETR were provided for an additional 96 weeks (giving total follow‐up of ≥144 weeks), with HIV‐1 RNA measured at 48 and 96 weeks and CD4 count at 96 weeks after entry into Extended Follow‐up. Proportion of participants with HIV‐1 RNA ≤200 copies/ml was estimated every 24 weeks, using imputation if necessary to handle the different measurement schedule in Extended Follow‐up; mean CD4 count changes were estimated using loess regression.

Results and Discussion

Of 257 participants (38% females), at study entry, median CD4 count was 179 cells/mm³, and HIV‐1 RNA was 4.6 log₁₀ copies/ml. Median follow‐up was 168 weeks (IQR: 156–204); 15 (6%) participants were lost to follow‐up and 9 (4%) died. 27/246 (11%), 26/246 (11%) and 13/92 (14%) of participants who started RAL, DRV/r and ETR, respectively, discontinued these drugs; only three due to adverse events. 87%, 86%, 83% and 80% of the participants had HIV‐1 RNA ≤200 copies/ml at weeks 48, 96, 144 and 168 (95% CI at week 168: 74–85%), respectively. Mean increase from study entry in CD4 count at week 168 was 265 cells/mm³ (95% CI 247–283).

Conclusions

Third‐line regimens comprising of RAL, DRV/r and/or ETR were very well tolerated and had high rates of durable virologic suppression among PLWH in LMICs who were failing on second‐line PI‐based ART prior to the availability of dolutegravir.

Retrospective Review of Virologic and Immunologic Response in Treatment-Experienced Patients on Third-Line HIV Therapy in Lusaka, Zambia

Established antiretroviral therapy (ART) programs in sub-Saharan Africa have well-defined first-and second-line therapies but no standard third-line ART regimen. The impact of third-line ART on patients with multiclass-resistant HIV in resource-limited settings has not been well characterized. We conducted a retrospective review of patients on third-line ART at the University Teaching Hospital in Lusaka, Zambia. We assessed virologic and immunologic outcomes following 6 months of third-line therapy and found among those with a documented viral load, viral suppression (≤1000 copies/ml) at 24 weeks was 95% (63/66) with a mean increase in CD4 count of 116 cells/mm³ and viral suppression of 63% (63/100) by imputation of missing data. This study suggests that third-line therapy is clinically and virologically effective among patients with multiclass-resistance in a resource-limited setting in sub-Saharan Africa.

Determinants of switch to paediatric second-line antiretroviral therapy after first-line failure in Cameroon

OBJECTIVE

With scale-up of antiretroviral therapy (ART) children, treatment failure and switch to subsequent ART regimens are common. Our objectives were to evaluate switching practices and identify factors associated among children and adolescents failing their first-line ART.

METHODS

A facility-based survey study was conducted in a cohort of children living with HIV experiencing virological failure (VF) at the Essos Hospital Centre of Yaounde, Cameroon. Data were collected using a standard questionnaire, and key variables were as follows: (a) VF defined as viral load (VL) > 1000 copies/ml, (b) rate of switch to second-line and (c) reason(s) for switching ART. Odds ratio (OR) with 95% confidence interval (CI) was used to assess the association between study variables, and P < 0.05 was considered statistically significant.

RESULTS

A total of 106 children experiencing VF were enrolled: median age was 8 [interquartile range (IQR): 3-15] years; 60.38% were boys and 39.62% were orphans of one/both parents. A proportion of 69% were at the WHO clinical stage III/IV, and 13.21% were experiencing immunological failure (CD4 < 200 cells/mm³ ). The median duration on first-line ART was 36 [IQR: 7-157] months prior to detecting VF, and the rate of switch to second-line ART was 70.75% (75/106). Delay in switching ART after a confirmed VF was 11 [IQR: 7-16] months. After switch to second-line ART, the median time to achieve undetectable VL (<40 copies/ml) was 14 [IQR: 9-21] months. Multivariate analysis revealed that only children with viral rebound (aOR = 0.09; 95% CI = 0.03-0.24) were less likely to be switched. Of note, being orphaned (aOR = 0.35, CI = 0.11-1.11), biological sex (aOR = 1.77, CI = 0.60-5.29) and immune status (aOR = 0.19, CI = 0.03-1.31, 0.09) had no significant effect on switching to second-line ART.

CONCLUSION

In this paediatric population experiencing VF after about 3-4 years from ART initiation, the majority are switched to second-line ART after a delay of almost one year. Delayed switch to second-line was driven essentially by viral rebound, underscoring the need for close viral monitoring.

High levels of HIV drug resistance among adults failing second-line antiretroviral therapy in Namibia

To support optimal third-line antiretroviral therapy (ART) selection in Namibia, we investigated the prevalence of HIV drug resistance (HIVDR) at time of failure of second-line ART. A cross-sectional study was conducted between August 2016 and February 2017. HIV-infected people ≥15 years of age with confirmed virological failure while receiving ritonavir-boosted protease inhibitor (PI/r)-based second-line ART were identified at 15 high-volume ART clinics representing over >70% of the total population receiving second-line ART. HIVDR genotyping of dried blood spots obtained from these individuals was performed using standard population sequencing methods. The Stanford HIVDR algorithm was used to identify sequences with predicted resistance; genotypic susceptibility scores for potential third-line regimens were calculated. Two hundred thirty-eight individuals were enrolled; 57.6% were female. The median age and duration on PI/r-based ART at time of enrolment were 37 years and 3.46 years, respectively. 97.5% received lopinavir/ritonavir-based regimens. The prevalence of nucleoside reverse transcriptase inhibitor (NRTI), non-nucleoside reverse transcriptase inhibitor (NNRTI), and PI/r resistance was 50.6%, 63.1%, and 13.1%, respectively. No significant association was observed between HIVDR prevalence and age or sex. This study demonstrates high levels of NRTI and NNRTI resistance and moderate levels of PI resistance in people receiving PI/r-based second-line ART in Namibia. Findings underscore the need for objective and inexpensive measures of adherence to identify those in need of intensive adherence counselling, routine viral load monitoring to promptly detect virological failure, and HIVDR genotyping to optimize selection of third-line drugs in Namibia.

Pre-treatment and acquired HIV drug resistance in Dar es Salaam, Tanzania in the era of tenofovir and routine viral load monitoring

OBJECTIVES

We investigated the prevalence and patterns of pre-treatment and acquired HIV drug resistance mutations (DRMs) in Tanzania as a 'treat all' strategy, virological monitoring and the progressive increase in usage of tenofovir are being implemented in HIV treatment programmes.

METHODS

Viral RNA was isolated from plasma of 60 ART-naive and 166 treated-but-viraemic (>400 copies/mL) HIV-1-infected adults attending a care and treatment clinic at Muhimbili National Hospital, Dar es Salaam, Tanzania, between June and October 2017. Viral genes encoding protease and reverse transcriptase were amplified by PCR and directly sequenced.

RESULTS

Viral genotyping of successfully amplified samples revealed pre-treatment DRMs in 14/47 (29.8%) ART-naive subjects. Of these, 7/47 (14.9%) harboured mutations that confer high-level resistance to at least one drug of the default first-line regimen. In treated-but-viraemic subjects, DRMs were found in 100/111 (90%), where DRMs against NNRTI, NRTI and PI were observed in 95/100 (95%), 92/100 (92%) and 13/100 (13%), respectively. Tenofovir-resistance mutations K65R and K70G/E or ≥3 thymidine analogue resistance mutations including M41L and L210W were found in 18/36 (50%) subjects on a tenofovir-containing regimen at failure. Four patients harboured multiple DRMs, which can confer resistance to all available ART regimens in Tanzania.

CONCLUSIONS

Taken together, pre-treatment and acquired DRMs were highly prevalent, which represents a major risk for the efficacy of ART programmes in Tanzania. Availability of a newer generation of antiretroviral drugs with a higher genetic barrier to resistance and robust treatment monitoring is warranted for effective and sustainable HIV treatment.

A retrospective descriptive investigation of adult patients receiving third-line antiretroviral therapy in the North West province, South Africa

Background

Greater access and prolonged exposure to ART may inevitably lead to more treatment failure and increase the need for third-line ART (TLART) in a resource-limited setting.

Objective

To describe characteristics and resistance patterns of adult patients initiated on TLART in three districts of the North West province.

Method

All-inclusive retrospective descriptive investigation. Demographics and clinical variables were recorded from adult patient health records (2002-2017) and analysed.

Results

21 Patients (17 females, 4 males) with median (IQR) age of 34 years (30.2-37.8) at HIV diagnosis and 45 years (39.5–47) at TLART initiation were included. Median duration (days) from HIV diagnosis to first-line ART initiation was 101 (37-367), treatment duration on first-line, second-line and between second-line failure and TLART initiation were: 1 269 (765–2 343); 1 512 (706-2096) and 71 (58-126) days respectively.

High-level resistance most prevalent were: nelfinavir/r (85.7%), indinavir/r (80.9%), lopinavir/r (76.2%), emtricitabine and lamivudine (95.2%), nevirapine (76.2%) and efavirenz (71.4%). Resistance to 3 major PI mutations in 95% of patients and cross resistance were documented extensively.

Conclusion

This study support the need for earlier resistance testing. It firstly reported on time duration post diagnosis on various ART regimens and secondly resistance patterns of adults before TLART was initiated in these districts.

Zimbabwe's national third-line antiretroviral therapy program: Cohort description and treatment outcomes

Background

In 2015, Zimbabwe introduced third-line antiretroviral therapy (ART) through four designated treatment centers; three government clinics in Harare and Bulawayo, and Newlands Clinic (NC), operated by a private voluntary organization in Harare. We describe characteristics of patients receiving third line ART and analyzed treatment outcomes in this national programme as of 31 December 2018.

Methods

We described the population using proportions for categorical variables, and medians and interquartile ranges for continuous variables. Patients from NC, where data were more complete, were followed from the date of starting third-line ART until death, transfer, loss to follow up or 31 December 2018.

Results

A total of 209 patients had ever received third-line ART: 124 at NC and 85 from the three government clinics. HIV genotype results were available for 89 (72%) patients at NC and fourteen (16.5%) patients in the government clinics. Median duration of third line ART (years) in the government clinics was 2.3 (IQR:0.6–3.4), 1.3 (IQR: 0.7–1.7) and 1 (0.6–1.9). Of the 67 patients who received third line ART in the government clinics for at least six months, 53 (79%) had most recent viral load (VL) < 1000 copies/ml. Data on other treatment outcomes from government clinics were incomplete.

From NC: a total of 109 (88%) patients were still in care, 13 (10.5%) had died and 2 (1.5%) were transferred. Median duration of third-line ART was 1.4 years (IQR: 0.6–2.8). Among the 111 NC patients who had received third-line ART for at least 6 months, 83 (75%) had a VL <50 copies/ml and 106 (95.5%) had a VL <1000 copies/ml.

Conclusion

Our findings demonstrate that, with comprehensive care, patients failing second-line ART can achieve high rates of virological suppression on third-line regimens. There is need to decentralize the provision of third-line ART in Zimbabwe. More needs to be done to improve completeness of data in the government clinics.

Quantifying pediatric patient need for second- and third-line HIV treatment: A tool for decision-making in resource-limited settings

As national HIV programs across the world mature and continue to scale up towards UNAIDS' 90-90-90 targets, it is increasingly important to accurately estimate HIV treatment needs in pediatric patient populations to prepare for anticipated increases in demand. This is particularly vital in sub-Saharan Africa, where the bulk of the global pediatric HIV burden remains concentrated, and for treatment-experienced populations, for which data are severely limited. This article discusses the conceptual framework behind and application of a five-year country-level quantification and decision-making tool aimed at providing national HIV programs and their partners with a better understanding of their evolving national HIV treatment and programming needs for second-and third-line pediatric populations. The conceptual framework of the algorithm which undergirds the tool is the patient pathway, along which key influencing factors that determine whether pediatric HIV patients are linked to care, remain in treatment, and are appropriately switched to later lines of treatment are accounted for quantitatively. Excel-based and arithmetic, the algorithm is designed to use available national, regional, and global data for factors impacting patient estimates including treatment coverage; routine viral load testing; viral load non-suppression; confirmed treatment failure; and patient loss to follow up-outcomes for which data are generally very limited in this patient population. The ultimate output of the tool is an estimate of the aggregate annual number of patients by treatment line. Given the limitations in available data for pediatric HIV, particularly for patients on second- and third-line treatments, this tool may help fill a data gap by providing a mechanism for policymakers to scenario plan, thus aiding resource allocation decisions for pediatric HIV program scale-up. The tool may be used to streamline national antiretroviral procurement of later lines of treatment, especially in resource-limited settings, and may also be used to add value to broader HIV policy and planning processes at the national level.

Third-Line Antiretroviral Therapy Program in the South African Public Sector: Cohort Description and Virological Outcomes

Background:

The World Health Organization recommends that antiretroviral therapy (ART) programs in resource-limited settings develop third-line ART policies. South Africa developed a national third-line ART program for patients who have failed both first-line non-nucleoside reverse transcriptase inhibitor–based ART and second-line protease inhibitor (PI)-based ART. We report on this program.

Methods:

Third-line ART in South Africa is accessed through a national committee that assesses eligibility and makes individual regimen recommendations. Criteria for third-line include the following: ≥1 year on PI-based ART with virologic failure, despite adherence optimization, and genotypic antiretroviral resistance test showing PI resistance. We describe baseline characteristics and resistance patterns of this cohort and present longitudinal data on virological suppression rates.

Results:

Between August 2013 and July 2014, 144 patients were approved for third-line ART. Median age was 41 years [interquartile range (IQR): 19–47]; 60% were women (N = 85). Median CD4⁺ count and viral load were 172 (IQR: 128–351) and 14,759 (IQR: 314–90,378), respectively. About 2.8% started PI-based ART before 2004; 11.1% from 2004 to 2007; 31.3% from 2008 to 2011; and 6.3% from 2012 to 2014 (48.6% unknown start date). Of the 144 patients, 97% and 98% had resistance to lopinavir and atazanavir, respectively; 57% had resistance to darunavir. All were initiated on a regimen containing darunavir, with raltegravir in 101, and etravirine in 33. Among those with at least 1 viral load at least 6 months after third-line approval (n = 118), a large proportion (83%, n = 98) suppressed to <1000 copies per milliliter, and 79% (n = 93) to <400 copies per milliliter.

Conclusion:

A high proportion of third-line patients with follow-up viral loads are virologically suppressed.

Implementation of an intensive adherence intervention in patients with second-line antiretroviral therapy failure in four west African countries with little access to genotypic resistance testing: a prospective cohort study

BACKGROUND

The decision about whether to switch to third-line antiretroviral therapy (ART) in patients with treatment failure on second-line therapy is difficult in settings with little access to genotypic resistance testing. In this study, we used a standardised algorithm including a wide range of adherence-enhancing interventions followed by a new viral load measurement to decide whether to switch to third-line therapy in this situation. The decision, made on the basis of effectiveness of the adherence reinforcement to drive viral resuppression, did not use genotypic resistance testing.

METHODS

In this prospective cohort study, adults in four west African countries with treatment failure of a boosted protease inhibitor ART regimen were offered nine adherence reinforcement interventions, and followed up for 64 weeks. We measured viral load at week 12 and used the results to decide ART treatment at week 16: if successful resuppression (plasma HIV-1 RNA <400 copies per mL or had decreased by ≥2 log₁₀ copies per mL compared with baseline), patients continued the same second-line regimen; otherwise they switched to a third-line regimen based on ritonavir-boosted darunavir and raltegravir. The primary endpoint was virological success at week 64 (plasma HIV-1 RNA <50 copies per mL). After study termination we did genotypic resistance testing on frozen plasma samples collected at baseline, and retrospectively determined the appropriateness of the week 16 decision on the basis of the baseline genotypic susceptibility score.

FINDINGS

Between March 28, 2013, and May 11, 2015, of the 198 eligible participants, five died before week 16. Of the 193 remaining, 130 (67%) reached viral resuppression and continued with second-line ART, and 63 (33%) switched to third-line ART at week 16. Post-study genotypic resistance testing showed that the baseline genotypic susceptibility score was calculable in 166 patients, of whom 57 (34%) had a score less than 2. We retrospectively concluded that the week 16 decision was appropriate in 145 (75%) patients. At week 64, four patients (2%) were lost to follow-up, ten (5%) had died, and 101 (52%) had a viral load less than 50 copies per mL.

INTERPRETATION

Poor adherence is the first problem to tackle in patients for whom second-line ART is failing when resistance tests are not routinely available and is effectively a manageable problem. Lack of access to genotypic resistance testing should not be an obstacle to the prescription of third-line ART in patients who do not achieve viral resuppression after adherence reinforcement.

FUNDING

French Agency for Research on AIDS and Viral Hepatitis.

Third-line antiretroviral therapy in low-income and middle-income countries (ACTG A5288): a prospective strategy study

BACKGROUND

Antiretroviral therapy (ART) management is challenging for individuals in resource-limited settings presenting for third-line treatment because of complex resistance patterns, partly due to reduced access to viral load monitoring. We aimed to evaluate use of newer antiretroviral drugs and contemporary management approaches, including population-based sequencing, to select appropriate antiretrovirals, plasma viral load monitoring, and interventions to improve adherence in individuals presenting with second-line viral failure.

METHODS

A5288 was a phase 4, third-line ART strategy study done at 19 urban sites in ten countries that enrolled adult participants with confirmed plasma HIV-1 RNA (viral load) of 1000 copies per mL or more after more than 24 weeks of protease inhibitor-based second-line ART. The primary objective was to use antiretrovirals (raltegravir, etravirine, and ritonavir-boosted darunavir) and diagnostic monitoring technologies, including viral load, genotyping, and adherence support to achieve viral load suppression (defined as ≤200 copies per mL) in 65% or more of participants. ART history and real-time drug resistance genotypes were used to assign participants to one of four cohorts: cohort A (no lopinavir resistance) stayed on second-line ART and cohorts B (B1, best available nucleoside reverse transcriptase inhibitors [NRTIs] plus ritonavir-boosted darunavir plus raltegravir; B2, ritonavir-boosted darunavir plus raltegravir plus etravirine; B3, ritonavir-boosted darunavir, raltegravir, and either tenofovir plus emtricitabine or tenofovir plus lamivudine), C (ritonavir-boosted darunavir plus raltegravir plus tenofovir-emtricitabine or tenofovir plus lamivudine), and D (best available NRTIs plus ritonavir-boosted darunavir plus raltegravir) were defined by increasing levels of resistance and received appropriate regimens, including new antiretrovirals. Participants in Cohort B without detectable hepatitis B surface antigen were assigned by blocked randomisation to cohorts B1 and B2, and those with detectable hepatitis B surface antigen were assigned to cohort B3. The trial is registered with ClinicalTrials.gov, number NCT01641367.

FINDINGS

From Jan 10, 2013, to Sept 10, 2015, 545 participants were enrolled. 287 (53%) were assigned to cohort A, 74 (14%) to B1, 72 (13%) to B2, eight (1%) to B3, 70 (13%) to C, and 34 (6%) to D. Overall, 349 (64%, 95% CI 60-68) participants achieved viral suppression at week 48, with proportions varying from 125 (44%) of 287 in cohort A to 65 (88%) of 74 in cohort B1, 63 (88%) of 72 in B2, eight (100%) of eight in B3, 63 (90%) of 70 in C, and 25 (74%) of 34 in D. Participants in cohort A remained on their second-line protease inhibitor, and had the most participants with grade 3 or higher adverse events (147 [51%]).

INTERPRETATION

Targeted real-time genotyping to select third-line ART can appropriately allocate more costly antiretrovirals to those with greater levels of HIV drug resistance.

FUNDING

National Institutes of Health.

Resistance in patients failing integrase strand transfer inhibitors: a call to replace raltegravir with dolutegravir in third-line treatment in South Africa

Data on integrase resistance patterns in low- and middle-income countries (LMICs) is scarce. We assessed genotypic drug resistance in 43 patients with virological failure on integrase strand transfer inhibitors (INSTIs) containing regimens as part of the third-line treatment program in South Africa. Of the raltegravir (RAL) exposed patients 20/34 (59%) had ≥1 major INSTI mutation, including two (6%) with dolutegravir (DTG) cross-resistance. DTG resistance was detected in one out of four DTG-exposed patients. Replacing RAL with DTG may reduce the risk of INSTI mutations. We recommend DTG drug resistance monitoring when DTG is introduced at a larger scale in LMICs.

HIV-1 drug resistance testing at second-line regimen failure in Arua, Uganda: avoiding unnecessary switch to an empiric third-line

OBJECTIVES

The number of patients on second-line antiretroviral therapy is growing, but data on HIV drug resistance patterns at failure in resource-constrained settings are scarce. We aimed to describe drug resistance and investigate the factors associated with extensive resistance to nucleoside/nucleotide reverse transcriptase inhibitors (NRTI), in patients failing second-line therapy in the HIV outpatient clinic at Arua Regional Referral Hospital, Uganda.

METHODS

We included patients who failed on second-line therapy (two consecutive viral loads ≥1000 copies/mm³ by SAMBA-1 point-of-care test) and who had a drug resistance test performed between September 2014 and March 2017. Logistic regression was used to investigate factors associated with NRTI genotypic sensitivity score (GSS) ≤1.

RESULTS

Seventy-eight patients were included: 42% female, median age 31 years and median time of 29 months on second-line therapy. Among 70 cases with drug resistance test results, predominant subtypes were A (47%) and D (40%); 18.5% had ≥1 major protease inhibitor mutation; 82.8% had ≥1 NRTI mutation and 38.5% had extensive NRTI resistance (NRTI GSS ≤1). A nadir CD4 count ≤100/ml was associated with NRTI GSS ≤1 (OR 4.2, 95% CI [1.3-15.1]). Thirty (42.8%) patients were switched to third-line therapy, composed of integrase inhibitor and protease inhibitor (60% darunavir/r) +/- NRTI. A follow-up viral load was available for 19 third-line patients at 12 months: 84.2% were undetectable.

CONCLUSIONS

Our study highlights the need for access to drug resistance tests to avoid unnecessary switches to third-line therapy, but also for access to third-line drugs, in particular integrase inhibitors. Low nadir CD4 count might be an indicator of third-line drug requirement for patients failing second-line therapy.

PhyloPi: An affordable, purpose built phylogenetic pipeline for the HIV drug resistance testing facility

INTRODUCTION

Phylogenetic analysis plays a crucial role in quality control in the HIV drug resistance testing laboratory. If previous patient sequence data is available sample swaps can be detected and investigated. As Antiretroviral treatment coverage is increasing in many developing countries, so is the need for HIV drug resistance testing. In countries with multiple languages, transcription errors are easily made with patient identifiers. Here a self-contained blastn integrated phylogenetic pipeline can be especially useful. Even though our pipeline can run on any unix based system, a Raspberry Pi 3 is used here as a very affordable and integrated solution.

PERFORMANCE BENCHMARKS

The computational capability of this single board computer is demonstrated as well as the utility thereof in the HIV drug resistance laboratory. Benchmarking analysis against a large public database shows excellent time performance with minimal user intervention. This pipeline also contains utilities to find previous sequences as well as phylogenetic analysis and a graphical sequence mapping utility against the pol area of the HIV HXB2 reference genome. Sequence data from the Los Alamos HIV database was analyzed for inter- and intra-patient diversity and logistic regression was conducted on the calculated genetic distances. These findings show that allowable clustering and genetic distance between viral sequences from different patients is very dependent on subtype as well as the area of the viral genome being analyzed.

AVAILABILITY

The Raspberry Pi image for PhyloPi, source code of the pipeline, sequence data, bash-, python- and R-scripts for the logistic regression, benchmarking as well as helper scripts are available at http://scholar.ufs.ac.za:8080/xmlui/handle/11660/7638 and https://github.com/ArmandBester/phylopi. The PhyloPi image and the source code are published under the GPLv3 license. A demo version of the PhyloPi pipeline is available at http://phylopi.hpc.ufs.ac.za/.

How to achieve the global 90-90-90 target by 2020 in sub-Saharan Africa? A mathematical modelling study

OBJECTIVES

The 90-90-90 target states that by 2020, 90% of people living with HIV should be diagnosed, 90% of those diagnosed treated, and 90% of those treated virally suppressed. We assessed the actions needed in each country of sub-Saharan Africa to achieve the 90-90-90 target.

METHODS

We developed a mathematical model to assess the number of patients needing to start antiretroviral therapy (ART) between 2017 and 2020 to achieve 81% coverage by 2020 in each country, and the proportion of treated patients who are virally suppressed in four scenarios, combining two scenarios of retention (current-level or perfect), and routine viral load monitoring (current or universal coverage). We performed two separate simulations, one using observed failure rates from cohort studies, and one with considerably lower failure rates to set a theoretical lower limit.

RESULTS

Our model projected that 2.9 million people started ART in 2017 in sub-Saharan Africa. If, depending on scenario, at least 2.2-2.7 million patients continue to start ART annually, 81% ART coverage will be reached in 2020 in sub-Saharan Africa on average. In 37% of the countries, a multiple-fold increase in annual number of patients starting ART is needed. Virological suppression >90% in 2020 could be reached only in the best-case scenario assuming low probability of treatment failure, elimination of treatment interruptions, and universal routine viral load monitoring.

CONCLUSION

The 90-90-90 target is realistic in sub-Saharan Africa on average, but not necessarily in all individual countries. Each country should identify and focus on the specific gaps needing attention.

Predictors of switch to and early outcomes on third-line antiretroviral therapy at a large public-sector clinic in Johannesburg, South Africa

BACKGROUND

While efficacy data exist, there are limited data on the outcomes of patients on third-line antiretroviral therapy (ART) in sub-Saharan Africa in actual practice. Being able to identify predictors of switch to third-line ART will be essential for planning for future need. We identify predictors of switch to third-line ART among patients with significant viraemia on a protease inhibitor (PI)-based second-line ART regimen. Additionally, we describe characteristics of all patients on third-line at a large public sector HIV clinic and present their early outcomes.

METHODS

Retrospective analysis of adults (≥ 18 years) on a PI-based second-line ART regimen at Themba Lethu Clinic, Johannesburg, South Africa as of 01 August 2012, when third-line treatment became available in South Africa, with significant viraemia on second-line ART (defined as at least one viral load ≥ 1000 copies/mL on second-line ART after 01 August 2012) to identify predictors of switch to third-line (determined by genotype resistance testing). Third-line ART was defined as a regimen containing etravirine, raltegravir or ritonavir boosted darunavir, between August 2012 and January 2016. To assess predictors of switch to third-line ART we used Cox proportional hazards regression among those with significant viraemia on second-line ART after 01 August 2012. Then among all patients on third-line ART we describe viral load suppression, defined as a viral load < 400 copies/mL, after starting third-line ART.

RESULTS

Among 719 patients in care and on second-line ART as of August 2012 (with at least one viral load ≥ 1000 copies/mL after 01 August 2012), 36 (5.0% over a median time of 54 months) switched to third-line. Time on second-line therapy (≥ 96 vs. < 96 weeks) (adjusted Hazard Ratio (aHR): 2.53 95% CI 1.03-6.22) and never reaching virologic suppression while on second-line ART (aHR: 3.37 95% CI 1.47-7.73) were identified as predictors of switch. In a separate cohort of patients on third-line ART, 78.3% (47/60) and 83.3% (35/42) of those in care and with a viral load suppressed their viral load at 6 and 12 months, respectively.

CONCLUSIONS

Our results show that the need for third-line is low (5%), but that patients' who switch to third-line ART have good early treatment outcomes and are able to suppress their viral load. Adherence counselling and resistance testing should be prioritized for patients that are at risk of failure, in particular those who never suppress on second-line and those who have been on PI-based regimen for extended periods.

High Levels of Dual-Class Drug Resistance in HIV-Infected Children Failing First-Line Antiretroviral Therapy in Southern Ethiopia

Clinical monitoring of pediatric HIV treatment remains a major challenge in settings where drug resistance genotyping is not routinely available. As a result, our understanding of drug resistance, and its impact on subsequent therapeutic regimens available in these settings, remains limited. We investigate the prevalence and correlates of HIV-1 drug resistance among 94 participants of the Ethiopia Pediatric HIV Cohort failing first-line combination antiretroviral therapy (cART) using dried blood spot-based genotyping. Overall, 81% (73/90) of successfully genotyped participants harbored resistance mutations, including 69% (62/90) who harbored resistance to both Nucleoside Reverse Transcriptase Inhibitors (NRTIs) and Non-nucleoside Reverse Transcriptase Inhibitors (NNRTIs). Strikingly, 42% of resistant participants harbored resistance to all four NRTIs recommended for second-line use in this setting, meaning that there are effectively no remaining cART options for these children. Longer cART duration and prior regimen changes were significantly associated with detection of drug resistance mutations. Replicate genotyping increased the breadth of drug resistance detected in 34% of cases, and thus is recommended for consideration when typing from blood spots. Implementation of timely drug resistance testing and access to newer antiretrovirals and drug classes are urgently needed to guide clinical decision-making and improve outcomes for HIV-infected children on first-line cART in Ethiopia.

HIV-1 Drug Resistance and Third-Line Therapy Outcomes in Patients Failing Second-Line Therapy in Zimbabwe

OBJECTIVES

To analyze the patterns and risk factors of HIV drug resistance mutations among patients failing second-line treatment and to describe early treatment responses to recommended third-line antiretroviral therapy (ART) in a national referral HIV clinic in Zimbabwe.

METHODS

Patients on boosted protease inhibitor (PI) regimens for more than 6 months with treatment failure confirmed by 2 viral load (VL) tests >1000 copies/mL were genotyped, and susceptibility to available antiretroviral drugs was estimated by the Stanford HIVdb program. Risk factors for major PI resistance were assessed by logistic regression. Third-line treatment was provided as Darunavir/r, Raltegravir, or Dolutegravir and Zidovudine, Abacavir Lamivudine, or Tenofovir.

RESULTS

Genotypes were performed on 86 patients who had good adherence to treatment. The median duration of first- and second-line ART was 3.8 years (interquartile range [IQR], 2.3-5.1) and 2.6 years (IQR, 1.6-4.9), respectively. The median HIV viral load and CD4 cell count were 65 210 copies/mL (IQR, 8728-208 920 copies/mL) and 201 cells/mm3 (IQR, 49-333 cells/mm3). Major PI resistance-associated mutations (RAMs) were demonstrated in 44 (51%) non-nucleoside reverse transcriptase inhibitor RAMs in 72 patients (83%) and nucleoside reverse transcriptase inhibitors RAMs in 62 patients (72%). PI resistance was associated with age >24 years (P = .003) and CD4 cell count <200 cells/mm3 (P = .007). In multivariable analysis, only age >24 years was significantly associated (adjusted odds ratio, 4.75; 95% confidence interval, 1.69-13.38; P = .003) with major PI mutations. Third-line DRV/r- and InSTI-based therapy achieved virologic suppression in 29/36 patients (81%) after 6 months.

CONCLUSIONS

The prevelance of PI mutations was high. Adolescents and young adults had a lower risk of acquiring major PI resistance mutations, possibly due to poor adherence to ART. Third-line treatment with a regimen of Darunavir/r, Raltegravir/Dolutegravir, and optimized nucleoside reverse transcriptase inhibitors was effective.

Human Immunodeficiency Virus-1 Drug Resistance Patterns Among Adult Patients Failing Second-Line Protease Inhibitor-Containing Regimens in Namibia, 2010-2015

Three hundred sixty-six adult patients in Namibia with second-line virologic failures were evaluated for human immunodeficiency virus drug-resistant (HIVDR) mutations. Less than half (41.5%) harbored ≥1 HIVDR mutations to standardized second-line antiretroviral therapy (ART) regimen. Optimizing adherence, viral load monitoring, and genotyping are critical to prevent emergence of resistance, as well as unnecessary switching to costly third-line ART regimens.

Adult antiretroviral therapy guidelines 2017

These guidelines are intended as an update to those published in the Southern African Journal of HIV Medicine in 2014 and the update on when to initiate antiretroviral therapy in 2015. Since the release of the previous guidelines, the scale-up of antiretroviral therapy (ART) in southern Africa has continued. New antiretroviral drugs have become available with improved efficacy, safety and robustness. The guidelines are intended for countries in the southern African region, which vary between lower and middle income.