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

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.

Time to Treatment Failure and Its Predictors Among Second-Line ART Clients in Amhara Region, Ethiopia: A Retrospective Follow-Up Study

Background

Second-line antiretroviral treatment failure has become a major public health issue, and the time to treatment failure among second-line ART clients varies globally, and the Sub-Saharan African region having a high rate of second-line ART treatment failures. In addition, after the ART treatment guideline changed there is limited information on Ethiopia. Therefore, this study aimed to assess time to treatment failure and its determinants among second-line ART clients in Amhara Region, Ethiopia.

Methods

A multi-centered retrospective follow-up study was conducted. A random sample of 860 people on second-line ART was selected by using a computer-generated simple random sampling technique from January 30, 2016, to January 30, 2021, at the University of Gondar Compressive Specialized Hospital, Felege Hiwot Compressive Specialized Referral Hospital, and Debre Tabor Compressive Specialized Referral Hospital, in Amhara region, Ethiopia. Data was captured using a checklist.

Results

A total of 81 (9.4%) ART clients developed second-line treatment failure, with a median follow-up time of 29 months with an interquartile range (IQR: 18, 41]. The risk of second-line treatment failure is higher among patients aged 15 to 30 years (adjusted hazard ratio (AHR) = 2.01, 95% confidence interval (CI): [1.16, 3.48]). Being unable to read and write (AHR = 1.312, 95% CI: [1.068, 1.613]), and poor ART drug adherence (AHR = 3.067, 95% CI: [1.845, 5.099]) were significant predictors of second-line ART treatment failures.

Conclusion

In the current study, the time to second-line ART treatment failure was high compared with a previous similar study in Ethiopia. Factors like being younger age, ART clients who are not being able to read and write, and having poor ART drug adherence was significant predictors of second-line ART treatment failure.

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.

Delays in third-line antiretroviral therapy and outcomes in North West province

BACKGROUND

Rapid switching from second-line to third-line antiretroviral therapy (TLART) is crucial for achieving viral suppression and reducing illness related to ART failure.

OBJECTIVES

This retrospective cohort study quantified the waiting periods for TLART initiation after virological failure on second-line therapy was detected, assessed factors associated with delays and assessed the outcomes of patients started on TLART.

METHOD

Data were abstracted from records of individuals eligible for TLART, and the time to TLART initiation was calculated. Reasons for delays were categorised according to patient, clinician and administrative processes.

RESULTS

Fifty-four patients were eligible for TLART. The median delay from the date of first viral load > 1000 copies/mL on second-line therapy to the start of TLART was 640 days (interquartile range [IQR]: 451-983 days). Of the patients that failed second-line and had an application for TLART, 41 (75.6%) were eventually initiated on TLART, and 11 (20.4%) died while waiting. Delays were primarily due to non-response to the first unsuppressed viral load while on second-line ART: 467 days (IQR: 232-803 days).

CONCLUSION

This study showed a prolonged waiting period for TLART initiation mainly between detected high viral load to requesting of resistance tests; many factors could have contributed, including clinicians' delayed responses to elevated viral loads. Mortality was high before TLART could be initiated. The process of TLART initiation needs to be made more efficient. Healthcare services should be strengthened to (1) recognise and manage virological failure early and identify those eligible for resistance testing, (2) ensure access to resistance testing and appropriately skilled clinicians, and (3) streamline approvals and delivery of TLART.

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.

HIV-1 drug resistance in adults and adolescents on protease inhibitor-based antiretroviral treatment in KwaZulu-Natal Province, South Africa

BACKGROUND

In low- and middle-income countries, increasing levels of HIV drug resistance (HIVDR) on second-line protease inhibitor (PI)-based regimens are a cause for concern, given limited drug options for third-line antiretroviral therapy (ART).

OBJECTIVES

We conducted a retrospective analysis of routine HIV-1 genotyping laboratory data from KwaZulu-Natal, in South Africa, to describe the frequency and patterns of HIVDR mutations and their consequent impact on standardized third-line regimens.

METHODS

This was a cross-sectional analysis of all HIV-1 genotypic resistance tests conducted by the National Health Laboratory Service in KwaZulu-Natal, South Africa (Jan 2015 - Dec 2016), for adults and adolescents (age ≥10 years) on second-line PI-based ART with virological failure. We assigned a third-line regimen to each record, based on a national treatment algorithm and calculated the genotypic susceptibility score (GSS) for that regimen.

RESULTS

Of 348 samples analyzed, 287 (83%) had at least one drug resistance mutation (DRM) and 114 (33%) had at least one major PI DRM. Major PI resistance was associated with longer duration on second-line ART (aOR per 6-months, 1.11, 95% CI 1.04-1.19) and older age (aOR 1.03, 95% CI 1.01-1.05). Of 112 patients requiring third-line ART, 12 (11%) had a GSS of <2 for the algorithm-assigned third-line regimen.

CONCLUSIONS

One in three people failing second-line ART had significant PI DRMs. A subgroup of these individuals had extensive HIVDR, where the predicted activity of third-line ART was suboptimal, highlighting the need for continuous evaluation of outcomes on third-line regimens and close monitoring for emergent HIV-1 integrase-inhibitor resistance.

Characterization of HIV-1 drug resistance among patients with failure of second-line combined antiretroviral therapy in central Ethiopia

BACKGROUND

As a consequence of the improved availability of combined antiretroviral therapy (cART) in resource-limited countries, an emergence of HIV drug resistance (HIVDR) has been observed. We assessed the prevalence and spectrum of HIVDR in patients with failure of second-line cART at two HIV clinics in central Ethiopia.

METHODS

HIV drug resistance was analysed in HIV-1-infected patients with virological failure of second-line cART using the geno2pheno application.

RESULTS

Among 714 patients receiving second-line cART, 44 (6.2%) fulfilled the criteria for treatment failure and 37 were eligible for study inclusion. Median age was 42 years [interquartile range (IQR): 20-45] and 62.2% were male. At initiation of first-line cART, 23 (62.2%) were WHO stage III, mean CD4 cell count was 170.6 (range: 16-496) cells/µL and median (IQR) HIV-1 viral load was 30 220 (7963-82 598) copies/mL. Most common second-line cART regimens at the time of failure were tenofovir disoproxil fumarate (TDF)-lamivudine (3TC)-ritonavir-boosted atazanavir (ATV/r) (19/37, 51.4%) and zidovudine (ZDV)-3TC-ATV/r (9/37, 24.3%). Genotypic HIV-1 resistance testing was successful in 35 (94.6%) participants. We found at least one resistance mutation in 80% of patients and 40% carried a protease inhibitor (PI)-associated mutation. Most common mutations were M184V (57.1%), Y188C (25.7%), M46I/L (25.7%) and V82A/M (25.7%). High-level resistance against the PI ATV (10/35, 28.6%) and lopinavir (LPV) (5/35, 14.3%) was reported. As expected, no resistance mutations conferring integrase inhibitor resistance were detected.

CONCLUSIONS

We found a high prevalence of resistance mutations, also against PIs (40%), as the national standard second-line cART components. Resistance testing before switching to second- or third-line cART is warranted.

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.

Estimating qualification and factors associated with third-line antiretroviral therapy referral in the Western Cape

Background

South Africa’s antiretroviral therapy (ART) programme is the largest globally and the universal test-and-treat policy is expected to increase the numbers on ART. This may have implications for treatment failure rates implying a greater future need for third-line regimens. South Africa initiated a third-line programme in 2013. However, there is little evidence quantifying the third-line need in this setting and the programme itself has not been formally evaluated.

Objectives

The study evaluated the third-line ART referral process in the Western Cape.

Method

Routinely collected data were analysed to derive an estimate of patients meeting criteria for third-line referral and compared with patients who were referred. Factors associated with referral were identified.

Results

In the study period, 947 patients met criteria for third-line referral and 167 patients were referred. Comparison revealed a poor overlap of only 42 patients. In multivariate analysis, factors associated with referral included receiving care at a hospital rather than a primary healthcare facility (adjusted odd ratios [aOR] = 2.15, 95% confidence interval [CI] 1.1–4.2), a higher number of viral load [VLs] ≥ 1000 copies/mL whilst on a protease inhibitor (PI) (aOR = 1.2, 95% CI 1.01–1.42) and a greater number of years on a PI (aOR = 1.25, 95% CI 1.07–1.46). Patients with a 6-month gap in dispensing were less likely to be referred (aOR = 0.37, 95% CI 0.17–0.81).

Conclusion

This study adds to a limited body of knowledge regarding third-line ART programmes. The findings indicate missed opportunities for and inappropriate referral of patients. Factors associated with referral were largely health system related. Clinician awareness and compliance with referral remain unknown and may be contributory.

Treatment modification after second-line failure among people living with HIV in the Asia-Pacific

BACKGROUND

The World Health Organization recommends continuation with the failing second-line regimen if third-line option is not available. We investigated treatment outcomes among people living with HIV in Asia who continued with failing second-line regimens compared with those who had treatment modifications after failure.

METHODS

Treatment modification was defined as a change of two antiretrovirals, a drug class change or treatment interruption (TI), all for >14 days. We assessed factors associated with CD4 changes and undetectable viral load (UVL <1,000 copies/ml) at 1 year after second-line failure using linear and logistic regression, respectively. Survival time was analysed using competing risk regression.

RESULTS

Of the 328 patients who failed second-line ART in our cohorts, 208 (63%) had a subsequent treatment modification. Compared with those who continued the failing regimen, the average CD4 cell increase was higher in patients who had a modification without TI (difference =77.5, 95% CI 35.3, 119.7) while no difference was observed among those with TI (difference =-5.3, 95% CI -67.3, 56.8). Compared with those who continued the failing regimen, the odds of achieving UVL was lower in patients with TI (OR=0.18, 95% CI 0.06, 0.60) and similar among those who had a modification without TI (OR=1.97, 95% CI 0.95, 4.10), with proportions of UVL 60%, 22% and 75%, respectively. Survival time was not affected by treatment modifications.

CONCLUSIONS

CD4 cell improvements were observed in those who had treatment modification without TI compared with those on the failing regimen. When no other options are available, maintaining the same failing ART combination provided better VL control than interrupting treatment.

Determinants of Virologic Failure Among Adults on Second Line Antiretroviral Therapy in Wollo, Amhara Regional State, Northeast Ethiopia

Background

Treatment failure among the population on second line antiretroviral therapy is a major public health threat. In Ethiopia there has been limited research done on second line treatment failure.

Objective

To identify determinants of virologic failure among adults on second line antiretroviral therapy in six public hospitals of Wollo, Amhara regional state, northeast Ethiopia.

Methods

An institution-based unmatched case–control study was conducted from February 1, 2020 to April 30, 2020 on a total of 377 clients in six public hospitals of Wollo, Amhara regional state, northeast Ethiopia. Clients whose viral load result >1,000 copies/mL in two consecutive results at least 3 month apart were cases, while ≤1,000 copies/mL were controls. The sample size was calculated by using Epi-Info version 7. Cases (94) and controls (283) were selected using a simple random sampling method in a ratio of cases-to-controls of 1:3. The model fitted and binary logistic assumptions were fulfilled with 95% confidence level and P-values<0.05 were taken as statistically significant.

Results

Virologic failure was predicted by poor adherence (AOR=6.060, 95% CI=2.837–12.944), not disclosing their HIV status (AOR=4.178, 95% CI=1.431–12.198), OI (AOR=4.11, 95% CI=1.827–9.246), CD4 count <100 cells/mm³ (AOR=3.497, 95% CI=1.233–9.923) and 100–350 cells/mm³ (AOR=5.442, 95% CI=2.191–13.513), low BMI <16 kg/m² (AOR=7.223, 95% CI=2.218–23.520), and young age 15–29 years (AOR=2.898, 95% CI=1.171–7.170).

Conclusion and Recommendations

Determinants of second line ART virologic failure were patients who had poor adherence to ART, not disclosed, opportunistic infection, low CD4 counts <350 cell/mm³, low BMI (<16 kg/m²), and young age 15–29 year patients. Social support, disclosing their HIV status, and getting early treatment for any opportunistic infection is crucial to patients.

Virological failure and HIV drug resistance among adults living with HIV on second-line antiretroviral therapy in the Asia-Pacific

OBJECTIVES

To assess second-line antiretroviral therapy (ART) virological failure and HIV drug resistance-associated mutations (RAMs), in support of third-line regimen planning in Asia.

METHODS

Adults > 18 years of age on second-line ART for ≥ 6 months were eligible. Cross-sectional data on HIV viral load (VL) and genotypic resistance testing were collected or testing was conducted between July 2015 and May 2017 at 12 Asia-Pacific sites. Virological failure (VF) was defined as VL > 1000 copies/mL with a second VL > 1000 copies/mL within 3-6 months. FASTA files were submitted to Stanford University HIV Drug Resistance Database and RAMs were compared against the IAS-USA 2019 mutations list. VF risk factors were analysed using logistic regression.

RESULTS

Of 1378 patients, 74% were male and 70% acquired HIV through heterosexual exposure. At second-line switch, median [interquartile range (IQR)] age was 37 (32-42) years and median (IQR) CD4 count was 103 (43.5-229.5) cells/µL; 93% received regimens with boosted protease inhibitors (PIs). Median duration on second line was 3 years. Among 101 patients (7%) with VF, CD4 count > 200 cells/µL at switch [odds ratio (OR) = 0.36, 95% confidence interval (CI): 0.17-0.77 vs. CD4 ≤ 50) and HIV exposure through male-male sex (OR = 0.32, 95% CI: 0.17-0.64 vs. heterosexual) or injecting drug use (OR = 0.24, 95% CI: 0.12-0.49) were associated with reduced VF. Of 41 (41%) patients with resistance data, 80% had at least one RAM to nonnucleoside reverse transcriptase inhibitors (NNRTIs), 63% to NRTIs, and 35% to PIs. Of those with PI RAMs, 71% had two or more.

CONCLUSIONS

There were low proportions with VF and significant RAMs in our cohort, reflecting the durability of current second-line regimens.

Discordant line probe genotypic testing vs culture-based drug susceptibility phenotypic testing in TB endemic KwaZulu-Natal: Impact on bedside clinical decision making

The recommendations for Mycobacterium tuberculosis drug susceptibility testing include both phenotypic and genotypic methods. This concurrent use of differing testing platforms has created an emerging challenge of discordant results, creating a diagnostic dilemma for the laboratorians as well as attending clinicians. We undertook a retrospective study to determine the prevalence of discordant results between the MTBDRplus line probe assay and solid culture-based drug susceptibility testing for rifampicin and isoniazid. The analysis was conducted for the period January 2013 and December 2015 at the Inkosi Albert Luthuli Central Hospital. Rifampicin and isoniazid resistance testing data were "paired" on 8273 isolates for culture-based drug susceptibility testing and line probe assay. The latter method showed high sensitivity and specificity of 93% and 95% respectively for isoniazid testing. For rifampicin testing, sensitivity and specificity were 95% and 75%. Overall, discordance was 14.6% for rifampicin and 7.2% for isoniazid. This report is not intended to determine superiority of one method over another. It is merely to show that discordance does exist between different methods of testing. Given the burden of HIV and Tuberculosis in Sub-Saharan Africa, these findings have clinical significance and huge public health implications. Clinicians should understand the limitations of phenotypic testing methods.

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.

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.

Second-line HIV treatment failure in sub-Saharan Africa: A systematic review and meta-analysis

BACKGROUND

Increased second-line antiretroviral therapy (ART) failure rate narrows future options for HIV/AIDS treatment. It has critical implications in resource-limited settings; including sub-Saharan Africa (SSA) where the burden of HIV-infection is immense. Hence, pooled estimate for second-line HIV treatment failure is relevant to suggest valid recommendations that optimize ART outcomes in SSA.

METHODS

We retrieved literature systematically from PUBMED/MEDLINE, EMBASE, CINAHL, Google Scholar, and AJOL. The retrieved studies were screened and assessed for eligibility. We also assessed the eligible studies for their methodological quality using the Joanna Briggs Institute's appraisal checklist. The pooled estimates for second-line HIV treatment failure and its associated factors were determined using STATA, version 15.0 and MEDCALC, version 18.11.3, respectively. We assessed publication bias using Comprehensive Meta-analysis software, version 3. Detailed study protocol for this review/meta-analysis is registered and found on PROSPERO (ID: CRD42018118959).

RESULTS

A total of 33 studies with the overall 18,550 participants and 19,988.45 person-years (PYs) of follow-up were included in the review. The pooled second-line HIV treatment failure rate was 15.0 per 100 PYs (95% CI: 13.0-18.0). It was slightly higher at 12-18 months of follow-up (19.0/100 PYs; 95% CI: 15.0-22.0), in children (19.0/100 PYs; 95% CI: 14.0-23.0) and in southern SSA (18.0/100 PYs; 95% CI: 14.0-23.0). Baseline values (high viral load (OR: 5.67; 95% CI: 13.40-9.45); advanced clinical stage (OR: 3.27; 95% CI: 2.07-5.19); and low CD4 counts (OR: 2.80; 95% CI: 1.83-4.29)) and suboptimal adherence to therapy (OR: 1.92; 95% CI: 1.28-2.86) were the factors associated with increased failure rates.

CONCLUSION

Second-line HIV treatment failure has become highly prevalent in SSA with alarming rates during the 12-18 month period of treatment start; in children; and southern SSA. Therefore, the second-line HIV treatment approach in SSA should critically consider excellent adherence to therapy, aggressive viral load suppression, and rapid immune recovery.