Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

The association between HIV pretreatment drug resistance and virological outcomes in children and adults in sub-Saharan Africa: A systematic review and meta-analysis

Abstract

Introduction

Pretreatment drug resistance (PDR) could occur in antiretroviral treatment (ART) naïve individuals, those previously exposed to ART, or individuals re-initiating ARV after a long period of interruption. Few studies have shown its association with virological outcomes, although inconsistent. The objective of this review was to provide a synthesis of the association between PDR and virological outcomes (virological failure or suppression).

Methods

This report is presented following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The method was subdivided into three main phases: record identification, screening, and report inclusion. Record identification consisted of an initial search with search term “HIV pretreatment drug resistance”. Another search was done using terms “Pretreatment drug resistance OR pre-treatment drug resistance OR Pretreatment drug resist* OR pre-treatment drug resist* OR pretreatment antiretroviral resistance OR pretreatment medic* OR pretreatment medic* resist*” and a list of all the countries in sub-Saharan Africa. After the electronic search, studies were screened from full list based on their title and abstract and then full articles retrieved and studies were assessed based on set criteria. Inclusion criteria involved observational studies that report the association between PDR and virological failure. Data from trials that reported the association were also included. Published articles like modelling studies and reviews, and studies with data that had been previously included in the review were excluded. The Mantel Haenszel method with odds ratios was used for synthesis (meta-analyses) with the weights of each study which depends on the number of events and totals.

Results

A total of 733 records(studies) were obtained from all database search of which 74 reported on PDR, virological outcomes in sub-Saharan Africa (SSA). Out of the 74 articles, 11 were excluded and 26 did not explicitly report data needed, and 5 did not meet the inclusion criteria. Of the remaining 32 studies, 19 studies that had complete data on the number of participants with PDR and no PDR according to virological failure (VF) were included in the metanalyses. The pooled results from eleven (13) of these studies showed those with PDR had higher odds of virological failure compared to those without PDR OR 3.64[95% CI 2.93, 4.52]. The result was similar when stratified in adults and in children. In six (6) studies that had Virological suppression (VS) as outcome, there was a reduction in the odds of VS in those with PDR compared to those without PDR, OR 0.42 (95% CI 0.30, 0.58).

Conclusion

In conclusion, this systematic review indicates that PDR increases the risk of virological failure in sub-Saharan Africa. The risk could be reduced by PDR monitoring for NNRTIs and INSTIs.

Introduction

HIV drug resistance occurs when there is a change in the virus genome which makes it less responsive to antiretroviral (ARV) treatment. This resistance could develop in those who are currently receiving ARVs (acquired drug resistance-ADR). On the other hand, pretreatment drug resistance (PDR) could occur either in ART naïve persons, those previously exposed to ART (Pre-exposure prophylaxis -PrEP, Prevention of Mother to Child Transmission-PMTCT) or individuals re-initiating ARV after a long period of interruption and without documented virological failure-VF [1]. In ART naïve persons, PDR occurs as a result of transmission of resistant strains, and this is termed transmitted drug resistance (TDR). Pretreatment drug resistance can occur to commonly used ARV classes, which include Nucleoside reverse transcriptase inhibitor (NRTI), Non-nucleoside reverse transcriptase inhibitor (NNRTI), protease inhibitor (PI), and integrase inhibitor strand transfer inhibitor (INSTI) [2].

The prevalence of PDR in adults, obtained from nationally representative surveys conducted in 4 countries in SSA (Cameroon, Namibia, Uganda, and Zimbabwe) from 2015–2016, indicates 3 of the 4 countries had rates above 10% [1]. This was mostly driven by NNRTI PDR with prevalence ranging from 8.1% in Cameroon to 15.4% in Uganda [1]. Disease modelling predicts that as more individuals are on ARV, there will be less HIV transmission, and increase in prevalence of HIVDR, all due to treatment failure and transmitted resistance [3, 4]. Thus, the prevalence of PDR is likely to increase with more individuals on ARV treatment. The prevalence of PDR appears to be higher in women compared to men, and in those with previous exposure to ARV compared to the ARV naïve [1].

Different definitions of virological outcomes have been used to evaluate the effect of PDR, which include viral load suppression (VLS), VF, treatment failure (TF), time to VLS or VF. Previous studies in SSA have shown an association between PDR and VF [516], VLS [13, 1720],time to VF [11], and time to VLS [21, 22]. Concerning the association between ARV class-specific PDR and VF, the association has been mostly observed with NRTIs and NNRTIs and less with PIs [1, 6]. This is not unexpected, as these are the drug classes that had been used for a longer duration of time by majority of ARV individuals. However, this should be interpreted with caution as some reports have shown an interaction between ARV class types [23]. In addition, resistance to one ARV class could lead to resistance to another class. Some examples of these interactions include NNRTI resistance has been shown to lead to PI failure [24] but may not necessarily lead to VF if efavirenz (EFV) is present [6]. PDR was associated with VF in patients prescribed partially active ARVs (NNRTI) to which they have mutations and was not associated with VF in patients receiving fully active ARVs for which they had no resistant mutations [7]. Participants with NNRTI+NRTI resistance who received non tenofovir (TDF) regimens had increased risk of VF, while participants with NNRTI-NRTI regimens who received TDF regimens did not have increased risk. Those on regimens of NNRTI only (no NRTI) with TDF had increased risk of VF [9]. NNRTI resistance was associated with reduction in efficacy of dolutegravir (DTG) regimen [25]. Transmitted drug resistance (TDR) to NNRTI and lamivudine (3TC) was associated with VF in Kenyan ARV naïve adults [5]. In children, low level mutations to NNRTI did not affect the use of nevirapine (NVP) [26].

The relative contributions of potentially modifiable risk factors to viremia (PDR, non-adherence and low-level viremia) have also been evaluated in SSA [10]. PDR against NNRTI-class ARVs and non-adherence are mainly associated with virological non-suppression. Virological rebound episodes are associated with low-level viremia (LLV) and non- adherence [10]. Overall, non-adherence accounted for a larger portion of viral non suppression [10]. In addition to VF, PDR has been shown to be associated with the development of acquired drug resistance [12, 18]. Although many studies have elucidated the association between PDR and virological failure, there is some indication that not all mutations lead to VF [13]. Furthermore, the effect of resistance on VF it is not known when PIs are used with other drug classes as baseline [25].

It is important to quantify the association between PDR and viral load outcomes and estimate the contribution of PDR to viral failure in different settings with variable levels of PDR. Examining PDR could also help identify drug classes for which the virus is presenting resistance, which could inform decisions about switching to newer regimen. Quantifying PDR gives an idea of the effectiveness of the currently used ARVs locally.

This systematic review would provide pooled data for SSA, which would give an idea of the magnitude of the public health problem. It will provide a synthesis of the association between PDR and viral load outcomes (Virological failure or suppression) which will help estimate the impact of PDR to VF which will help improve the response to ARV and hence reduce morbidity and mortality. In addition, this will provide more information about the specific effect of ARV class-specific mutations on VF for which data from previous studies is limited. There will be synthesis of association between PDR and VL outcomes in children which is sparse in available literature.

This review report is presented following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [27].

Methods

Design

This systematic review assessed the available literature on the topic of HIV pretreatment drug resistance (PDR) and virological outcomes in sub-Saharan African countries. The methods could be grouped into 3 main chronological phases which include record identification, screening, and report inclusion. These phases were conducted independently by two of the manuscript authors.

Record identification

Record identification consisted of conducting a literature search using the PubMed electronic database in April 2021.

An initial search was done using the search term “HIV pretreatment drug resistance” to include a wide range of articles without restriction.

Another search was conducted using the following search terms:

Pretreatment drug resistance OR pre-treatment drug resistance OR Pretreatment drug resist* OR pre-treatment drug resist* OR pretreatment antiretroviral resistance OR pretreatment medic* OR pretreatment medic* resist*.

The search was conducted in April 2021 without restrictions on date of publication.

HIV OR AIDS.

Viral suppression OR virological suppression OR virological failure OR viral un-suppression OR viral unsuppress* OR treatment failure OR failure.

Angola OR Benin OR Botswana OR Burkina Faso OR Burundi OR Cabo Verde OR Cameroon OR Chad OR Cote d’Ivoire OR Congo OR Central African Republic OR Comoros OR Democratic Republic of Congo OR Djibouti OR ESwatini OR Ethiopia OR Eritrea OR Equatorial Guinea OR Guinea Bissau OR Gabon OR Gambia OR The Gambia OR Ghana OR Guinea OR Kenya OR Lesotho OR Liberia OR Madagascar OR Malawi OR Mauritania OR Mali Mozambique OR Nigeria OR Niger OR Namibia OR Rwanda OR Sao Tome OR Senegal OR Seychelles OR Mauritius OR Sierra Leone OR South Africa OR Swaziland OR Somalia OR Sudan OR South Sudan OR Tanzania OR Togo OR Uganda OR Zambia OR Zimbabwe.

An additional new search was conducted in January 2023 using the following 5 databases which include 1) ACADEMIC SEARCH COMPLETE, 2) EMBASE, 3) LILACS, 4) MEDLINE, 5) PROQUEST.

In addition, a PubMed search was repeated in 2023 to see if additional articles were obtained.

Search results were imported to Review Manager package (Review Manager (RevMan) [Computer program]. Version 5.4. The Cochrane Collaboration, 2020.) for the management of reports, references and analyses including metanalyses.

Screening

After the electronic search, the records were screened. In the first stage, studies were screened from the search list based on their title and abstract. In the second stage, full articles were retrieved, and studies were assessed and included following set criteria.

Report inclusion

Inclusion criteria.

  1. Type of studies. Study designs included were cohort studies, case control studies, cross-sectional studies, and ecological studies. Studies from trials that also reported the relationship between PDR and virological failure were also retrieved.
  2. Population. Only papers that reported pretreatment drug resistance and virological outcomes in sub-Saharan African countries were included. PDR includes TDR transmitted at time of infection or through PMTCT/ PrEP. This includes, but is not limited to, studies involving data collection on PDR in health facilities in children, adults, or both.
  3. Intervention. The exposure is those with PDR. PDR could be resistance to any class of ARV (NNRTI, NNRTI PI), resistance to a single ARV class, or both.
  4. Comparators. PDR was accessed according to virological failure and virological suppression in children and in adults.
  5. Types of outcomes. Virological failure was defined as VL≥ 1000 copies and virological suppression defined as VL <1000 copies at 6 months, or 12 months, 18 months after ART initiation. Other cut-offs for virological failure/suppression were used in the different studies. Data from the studies was gathered and used for analysis and write-up.

Exclusion criteria.

Studies with one of the following were excluded: Data (the same period) has been used previously in another publication already selected in the review, Publication type is modelling or systematic review, or case reports.

Data analyses

Once all relevant papers that matched the inclusion criteria were identified, data on the number of participants with PDR, without PDR, virological outcomes in those with PDR and those without PDR, were extracted from the full articles and entered into the RevMan package (Review Manager (RevMan) [Computer program]. Version 5.4. The Cochrane Collaboration, 2020). This was done independently by two of the study investigators and results verified and corrected in case of discrepancies. Odds ratios were used to examine the association between PDR and virological outcomes for each study. The Mantel Haenszel method was used for the synthesis to get the overall odds ratios (metanalyses). The weights for each study were estimated considering the number of events and the totals. Briefly, each study was taken as separate strata and then the estimates were calculated and a test for heterogeneity was used to evaluate the heterogeneity between the strata. The individual study odds ratios and their confidence intervals and the pooled estimates were used to develop Forest plots. The data for the numbers with PDR and the total numbers was used to estimate the prevalence of individual studies and the pooled prevalence (metanalyses) using STATA version 18 (College Station, Texas).

The risk of bias in each study was evaluated using a tool with 10 items as described by Hoy et al. [28].

Results

Study selection

A total of 654 records (articles) were obtained from the PubMed electronic database search. No duplicates were found, and no records were removed prior to screening. The initial screening involved looking at the records list to see if they were focused on pretreatment drug resistance and virological outcome, as well as being conducted in a sub-Saharan African country. A total of 63 studies met these criteria and were retained for full report/article retrieval, from published literature. No grey literature record was included. These full articles were thoroughly read to determine if they met the eligibility or inclusion criteria. Out of the 63 studies, 11 were excluded for one of the following reasons: 1) the data had been reported in other studies included in this review, 2) the publication type was not original research i.e., review or modelling. Twenty-six (26) out of the 63 studies did not explicitly report PDR data, virological data, or their association. The remaining 26 of the 63 studies were included in this systematic review. Out of these, 17 studies reported complete data on number of participants with PDR and no PDR, and virological outcomes in each category (Fig 1).

thumbnail
Fig 1. Flow diagram*.

*Figure presented following PRISMA guidelines **17 out of 599 articles were retrieved after getting them from references in the published articles and 3 were included.

https://doi.org/10.1371/journal.pone.0300456.g001

The additional search involving five databases retrieved 79 articles- Academic search complete (46), EMBASE (2), LILACS (17), MEDLINE (10), PROQUEST (4). Initial screening to look for records focused on pretreatment drug resistance and virological outcome in SSA. A total of eleven (11) articles were finally retained while leaving out articles already retrieved from PubMed search. The 11 full articles were obtained and detailly read to verify the inclusion criteria. Out of these, five (5) were excluded for one of the following reasons 1) the article looked at PDR rates with or without virological outcome but did not explicitly present their association, 2) the study location in SSA was not explicitly mentioned. Finally, a total of six (6) articles were included in the systematic review from which two were included in metanalysis (Fig 1).

Totally from the two searches, 733 (654+79) records were obtained of which 74 (63+11) reported on PDR, virological outcomes in sub-Saharan Africa (SSA). Out of the 74 articles, 11 were excluded, 26 did not explicitly report data needed, and 5 did not meet the inclusion criteria. Of the remaining 32 (26+6) studies, 19 (17+2) studies that had complete data on the number of participants with PDR and no PDR according to virological failure (VF) were included in the metanalyses.

Characteristics of included studies

A total of 32 studies [516, 1821, 2326, 2940] that looked at the association between PDR and virological outcome (VF/TF, VLS) were included in this review (Table 1).

thumbnail
Table 1. Characteristics of included studies for systematic review.

https://doi.org/10.1371/journal.pone.0300456.t001

A total of 19 studies that explicitly presented data on all the following were eligible for meta-analyses: number of participants with PDR, number of participants without PDR, and virological outcomes in those with PDR and those without. This corresponded to a total of 8848 participants (Figs 3 and 4). There were 13 studies on virological failure as outcome, with 7354 participants and 2356 events. In addition, there were 6 studies with viral load suppression as outcome, with 1494 participants and 1016 events.

Out of the 13 studies with VF as outcome, one study contributed to more than one quarter of the study participants (weight 26.8%); a multicenter study in 6 African countries. The study that contributed to the highest proportion of events was 62% (1288/2073) which was a study conducted in HIV infected adults in Zimbabwe (Fig 3).

Out of the 6 studies with VLS as outcome, one study contributed to the highest number of participants corresponding to a weight of 55.7% and the highest number of events (Fig 4).

A total of 6 out of the 19 studies included data on children <18 years. Thirteen studies involved adults of which two of the studies had a combination of adults and children (Figs 3 and 4).

The study period ranged from 2004–2019 with majority of the studies conducted in East and Southern Africa. One study was from Mali and data from Nigeria was included only as part of a multicenter study. In terms of study design, most of the studies were cohort studies (including those from trials) and fewer were nested case control studies.

Most of the patients were seen at baseline when samples were collected for resistance tests and then followed up at different time points after ARV initiation. The different time points included 14 weeks, 6 months(m), 12m, 24m, 18 m for VF, and 24 weeks, 48w, 12m, 24m, 36m, 6-12m, 180 weeks, all after treatment initiation.

The ARVs prescribed included mostly combinations comprising NRTI and NNRTI and few with PI based combinations (Table 1).

Risk of bias in studies

In cohort studies that were included, the percentage loss to follow-up was generally low (Table 2), indicating a minimal risk of bias [41, 42].

In the case-control study, the risk of bias was low- those with virological outcomes were less likely to be different from the general population from which they came.

The assessment tool indicated that the studies had low risk of bias (Table 2).

Results of individual studies

Twelve (12) out of thirteen (13) studies showed an increase in the odds of VF in those with PDR compared to those without PDR, and one study showed a decrease (Fig 3). There was evidence of some variability between the individual studies (test for heterogeneity Chi2 50.07, p<0.00001). However, looking at the pediatric studies only, there was less variability (Heterogeneity test Ch2 2.94, p = 0.23).

Results of metanalyses

Prevalence of PDR.

The prevalence of PDR ranged from 4–26% in adults with a pooled prevalence of 11% [0.11(95% CI 0.09–0.13)], and a prevalence of 3–26% in children with a pooled prevalence of 14% [0.14(95% CI 0.07–0.21)] (Fig 2).

Association between PDR and VF.

Overall, the pooled results from the 13 studies showed that those with PDR had higher odds of VF compared to those without PDR, OR 3.64[95% CI 2.93, 4.52]-Fig 3. This indicates that overall, there is evidence that PDR is associated with an increase in virological failure in children and in adults. In adults, the risk was similar to the overall OR 3.18[95% CI 2.52–4.02]. In children, the risk was higher than in adults, with children with PDR having 9 times the odds of VF compared to children without PDR. It should, however, be noted that the number of participants and events in this subgroup of children was considerably less.

thumbnail
Fig 3. Association between PDR and virological failure (metanalysis).

https://doi.org/10.1371/journal.pone.0300456.g003

Association between PDR and VLS.

5 studies each showed a reduction in the odds of VLS in those with PDR compared to those without. There was borderline evidence of variability between the individual studies (Heterogeneity test Chi2 11.01, p = 0.05).

Overall, the pooled results from 6 studies showed a reduction in the odds of VLS in those with PDR compared to those without PDR, OR 0.42 (95% CI 0.30, 0.58) (Fig 4). However, one study showed an increase in VLS for those with PDR compared to those without PDR. It should be noted that this study had few data points, suggesting imprecise estimates.

thumbnail
Fig 4. Association between PDR and VLS (metanalysis).

https://doi.org/10.1371/journal.pone.0300456.g004

The odds of VLS in children were similar to those of adults (Fig 4).

Reporting biases.

It is worth noting that for observational studies, reporting is mostly done for those that have evidence of effect (reporting bias).

Certainty of evidence.

Most of the studies conducted involved cohort studies which are generally good for looking at associations. The risk of bias from these studies was relatively low since the loss to follow-up was minimal in most of the studies (<20%).

Discussion

This review indicates that in sub-Saharan Africa, adults and children with PDR have an increased risk of VF and lower “risk” of VLS. This is expected, as the presence of resistant virus in an individual prior to ART initiation could reduce treatment efficacy. It is expected that the PDR, which was present prior to commencement of treatment, would lead to VF for some ARV classes and irrespective of acquired drug resistance, which occurs later. In most of these studies, samples were collected from HIV infected individuals prior to commencement of treatment. The participants were then followed up to evaluate virological outcomes at various time points after starting ARV treatment. The difference in virological failure, between those with PDR and those without PDR could be attributed to the presence of resistant mutations, after adjusting for confounding factors.

These findings were similar to those of another review which showed evidence of association between PDR and virological failure [43]. In the review which included studies in SSA, as well as other regions, the authors showed a higher risk of VF in those with PDR [43]. Bertagnolio et al., also evaluated NNRTI PDR specific effect on virological failure, which was high, and was similar in combinations containing specifically tenofovir. Other reviews showed high levels of PDR in children in SSA but did not look at the association with virological outcomes [44, 45].

The association between PDR and virological failure was more pronounced in children than in adults. This is not unexpected since children are more likely to have transmitted drug resistance from their mothers during pregnancy and birth. In addition, they might have had prior exposure to NNRTI through PMTCT.

In terms of ART class-specific pretreatment drug resistance, majority of the PDR is due to NNRTIs [58, 11, 12, 14, 23, 24, 31, 32]. This is not surprising since NVP has been used for a long time in PMTCT programs, which means a considerable number of individuals have had prior exposure to the drug. There were very few published studies that reported on PI specific PDR and we could not find any on INSTI-specific PDR.

It can be argued that the association between PDR and virological suppression observed could be explained by various levels of adherence. However, it is unlikely because after adjusting for adherence, the risk of virological failure associated with PDR was still present in adults [5, 7, 11, 14] and in children [23]. In another study conducted in SA, the rate of suboptimal adherence was quite low and was unlikely to explain the observed association between PDR and VF [31].

Although this review included a number of relevant studies from SSA, some limitations are worth mentioning. First, in some retrieved studies, data on PDR and virological outcomes were not explicitly mentioned. This might affect the representativeness of the studies. The risk of bias was unclear in a number of studies, and this would limit the interpretation of the findings. Other factors which are associated to virological failure other than PDR, for example non-adherence, were usually not available from previous studies. The method of review where the search involved just one database could limit the availability of the studies. There was a lack of studies that presented data disaggregation between men and women to see if the magnitude of the association between PDR and virological failure might be different, since HIV positive women of childbearing age are likely to have had prior exposure to ARVs through the PMTCT program.

Albeit these limitations, there is evidence of an association between PDR and virological failure. A number of implications are worth mentioning in terms of clinical practice and public health. In health facilities in resource limited settings, simple methods can be developed to screen HIV patients prior to treatment initiation in areas where the epidemic has been ongoing for a relatively long time. In this situation, it is likely that a great majority of ART patients might have developed some resistance which might have been transmitted to others (ref). In addition, many HEI might have been exposed to ARVs through PMTCT. In areas with relatively young epidemics, screening for PDR before treatment initiation is unlikely to be of benefit since less patients are expected to have prior exposure to ARVs. In addition, in all settings, all ART patients with high viral load could be systematically screened for PDR as part of their clinical management of high viral load. In terms of public health practice, PDR screening can be included in measurement of impact of ART treatment programs. Surveillance for PDR could be included in HIV drug resistance surveillance. Future research on HIV drug resistance could be geared towards documenting pre-treatment drug resistance in adults and children and documenting PDR.

Conclusion

In conclusion, this systematic review indicates that PDR increases the risk of virological failure in sub-Saharan Africa. The risk could be reduced by constant monitoring for PDR, mainly NNRTI PDR (PMTCT) and INSTI PDR (transmitted PDR), in addition to ADR in patients who are on ARV. In areas with long lasting HIV epidemics, including PDR screening prior to ART initiation may be of benefit. Surveillance for PDR may be included into HIV drug resistance surveillance.

Supporting information

Acknowledgments

This publication (staff time) has been supported by the President’s Emergency Plan for AIDS Relief (PEPFAR) through the Centers for Disease Control and Prevention (CDC) ".

References

  1. 1. WHO. HIV drug resistance report 2017. Geneva. Licence: CC BY-NC-SA 3.0 IGO: 2017.
  2. 2. clinicalinfo.hiv.gov/en/glossary/drug-class. Available from: clinicalinfo.hiv.gov/en/glossary/drug-class.
  3. 3. Nichols BE, Sigaloff KC, Kityo C, Mandaliya K, Hamers RL, Bertagnolio S, et al. Averted HIV infections due to expanded antiretroviral treatment eligibility offsets risk of transmitted drug resistance: a modeling study. AIDS (London, England). 2014;28(1):73–83. Epub 2013/08/08. pmid:23921620.
  4. 4. Cambiano V, Bertagnolio S, Jordan MR, Pillay D, Perriëns JH, Venter F, et al. Predicted levels of HIV drug resistance: potential impact of expanding diagnosis, retention, and eligibility criteria for antiretroviral therapy initiation. AIDS (London, England). 2014;28 Suppl 1:S15–23. pmid:24468943.
  5. 5. Chung MH, Beck IA, Dross S, Tapia K, Kiarie JN, Richardson BA, et al. Oligonucleotide ligation assay detects HIV drug resistance associated with virologic failure among antiretroviral-naive adults in Kenya. Journal of acquired immune deficiency syndromes (1999). 2014;67(3):246–53. Epub 2014/08/21. pmid:25140907; PubMed Central PMCID: PMC4197120.
  6. 6. Chung MH, McGrath CJ, Beck IA, Levine M, Milne RS, So I, et al. Evaluation of the management of pretreatment HIV drug resistance by oligonucleotide ligation assay: a randomised controlled trial. Lancet HIV. 2020;7(2):e104–e12. Epub 2019/12/11. pmid:31818716; PubMed Central PMCID: PMC6936934.
  7. 7. Hamers RL, Schuurman R, Sigaloff KC, Wallis CL, Kityo C, Siwale M, et al. Effect of pretreatment HIV-1 drug resistance on immunological, virological, and drug-resistance outcomes of first-line antiretroviral treatment in sub-Saharan Africa: a multicentre cohort study. The Lancet Infectious diseases. 2012;12(4):307–17. Epub 2011/11/01. pmid:22036233.
  8. 8. Hassan AS, Bibby DF, Mwaringa SM, Agutu CA, Ndirangu KK, Sanders EJ, et al. Presence, persistence and effects of pre-treatment HIV-1 drug resistance variants detected using next generation sequencing: A Retrospective longitudinal study from rural coastal Kenya. PloS one. 2019;14(2):e0210559. Epub 2019/02/14. pmid:30759103; PubMed Central PMCID: PMC6373901.
  9. 9. Inzaule SC, Rinke de Wit TF, Hamers RL. Does Tenofovir-containing First-line Antiretroviral Therapy Mitigate the Impact of Pretreatment Non-nucleoside Reverse Transcriptase Inhibitor Drug Resistance? Clin Infect Dis. 2019;68(12):2158–60. Epub 2018/12/19. pmid:30561519.
  10. 10. Inzaule SC, Bertagnolio S, Kityo CM, Siwale M, Akanmu S, Wellington M, et al. The relative contributions of HIV drug resistance, nonadherence and low-level viremia to viremic episodes on antiretroviral therapy in sub-Saharan Africa. Aids. 2020;34(10):1559–66. Epub 2020/07/18. pmid:32675566.
  11. 11. Kantor R, Smeaton L, Vardhanabhuti S, Hudelson SE, Wallis CL, Tripathy S, et al. Pretreatment HIV Drug Resistance and HIV-1 Subtype C Are Independently Associated With Virologic Failure: Results From the Multinational PEARLS (ACTG A5175) Clinical Trial. Clin Infect Dis. 2015;60(10):1541–9. Epub 2015/02/15. pmid:25681380; PubMed Central PMCID: PMC4425827.
  12. 12. Kityo C, Boerma RS, Sigaloff KCE, Kaudha E, Calis JCJ, Musiime V, et al. Pretreatment HIV drug resistance results in virological failure and accumulation of additional resistance mutations in Ugandan children. J Antimicrob Chemother. 2017;72(9):2587–95. Epub 2017/07/05. pmid:28673027; PubMed Central PMCID: PMC5890670.
  13. 13. Lee GQ, Bangsberg DR, Muzoora C, Boum Y, Oyugi JH, Emenyonu N, et al. Prevalence and virologic consequences of transmitted HIV-1 drug resistance in Uganda. AIDS Res Hum Retroviruses. 2014;30(9):896–906. Epub 2014/06/25. pmid:24960249; PubMed Central PMCID: PMC4151058.
  14. 14. Milne RS, Silverman RA, Beck IA, McKernan-Mullin J, Deng W, Sibley TR, et al. Minority and majority pretreatment HIV-1 drug resistance associated with failure of first-line nonnucleoside reverse-transcriptase inhibitor antiretroviral therapy in Kenyan women. AIDS (London, England). 2019;33(6):941–51. Epub 2019/04/05. pmid:30946148; PubMed Central PMCID: PMC6635101.
  15. 15. Hermans LE, Hofstra LM, Schuurman R, Ter Heine R, Burger DM, Talboom SAJ, et al. HIV-1 pretreatment drug resistance negatively impacts outcomes of first-line antiretroviral treatment. AIDS (London, England). 2022;36(7):923–31. Epub 20220201. pmid:35113046.
  16. 16. Lippman SA, Mooney AC, Puren A, Hunt G, Grignon JS, Prach LM, et al. The role of drug resistance in poor viral suppression in rural South Africa: findings from a population-based study. BMC infectious diseases. 2020;20(1):248. Epub 20200326. pmid:32216752; PubMed Central PMCID: PMC7099808.
  17. 17. Boender TS, Hoenderboom BM, Sigaloff KC, Hamers RL, Wellington M, Shamu T, et al. Pretreatment HIV drug resistance increases regimen switches in sub-Saharan Africa. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America. 2015;61(11):1749–58. Epub 2015/08/05. pmid:26240203.
  18. 18. Soeria-Atmadja S, Amuge P, Nanzigu S, Bbuye D, Rubin J, Eriksen J, et al. Pretreatment HIV drug resistance predicts accumulation of new mutations in ART-naïve Ugandan children. Acta Paediatr. 2020;109(12):2706–16. Epub 2020/04/19. pmid:32304595.
  19. 19. Taffa N, Roscoe C, Sawadogo S, De Klerk M, Baughman AL, Wolkon A, et al. Pretreatment HIV drug resistance among adults initiating ART in Namibia. J Antimicrob Chemother. 2018;73(11):3137–42. Epub 2018/08/24. pmid:30137412; PubMed Central PMCID: PMC6258052.
  20. 20. Tadesse BT, Chala A, Mukonzo J, Chaka TE, Tadesse S, Makonnen E, et al. Rates and Correlates of Short Term Virologic Response among Treatment-Naïve HIV-Infected Children Initiating Antiretroviral Therapy in Ethiopia: A Multi-Center Prospective Cohort Study. Pathogens. 2019;8(4). Epub 20190924. pmid:31554200; PubMed Central PMCID: PMC6963769.
  21. 21. McCluskey SM, Lee GQ, Kamelian K, Kembabazi A, Musinguzi N, Bwana MB, et al. Increasing Prevalence of HIV Pretreatment Drug Resistance in Women But Not Men in Rural Uganda During 2005–2013. AIDS Patient Care STDS. 2018;32(7):257–64. Epub 2018/07/10. pmid:29985647; PubMed Central PMCID: PMC6034395.
  22. 22. Neuhann F, de Forest A, Heger E, Nhlema A, Scheller C, Kaiser R, et al. Pretreatment resistance mutations and treatment outcomes in adults living with HIV-1: a cohort study in urban Malawi. AIDS research and therapy. 2020;17(1):22. Epub 2020/05/22. pmid:32434561; PubMed Central PMCID: PMC7240935.
  23. 23. Crowell CS, Maiga AI, Sylla M, Taiwo B, Kone N, Oron AP, et al. High Rates of Baseline Drug Resistance and Virologic Failure Among ART-naive HIV-infected Children in Mali. Pediatr Infect Dis J. 2017;36(11):e258–e63. Epub 2017/02/16. pmid:28198788; PubMed Central PMCID: PMC5554754.
  24. 24. Chimukangara B, Giandhari J, Lessells R, Yende-Zuma N, Sartorius B, Samuel R, et al. Impact of pretreatment low-abundance HIV-1 drug-resistant variants on virological failure among HIV-1/TB-co-infected individuals. J Antimicrob Chemother. 2020;75(11):3319–26. pmid:32772079; PubMed Central PMCID: PMC7566390.
  25. 25. Siedner MJ, Moorhouse MA, Simmons B, de Oliveira T, Lessells R, Giandhari J, et al. Reduced efficacy of HIV-1 integrase inhibitors in patients with drug resistance mutations in reverse transcriptase. Nat Commun. 2020;11(1):5922. Epub 2020/12/03. pmid:33262331; PubMed Central PMCID: PMC7708638.
  26. 26. Hunt GM, Coovadia A, Abrams EJ, Sherman G, Meyers T, Morris L, Kuhn L. HIV-1 drug resistance at antiretroviral treatment initiation in children previously exposed to single-dose nevirapine. AIDS (London, England). 2011;25(12):1461–9. Epub 2011/06/03. pmid:21633285; PubMed Central PMCID: PMC4547386.
  27. 27. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ (Clinical research ed). 2021;372:n71. Epub 2021/03/31. pmid:33782057; PubMed Central PMCID: PMC8005924.
  28. 28. Hoy D, Brooks P Fau—Woolf A, Woolf A Fau—Blyth F, Blyth F Fau—March L, March L Fau—Bain C, Bain C Fau—Baker P, et al. Assessing risk of bias in prevalence studies: modification of an existing tool and evidence of interrater agreement. (1878–5921 (Electronic)).
  29. 29. Boerma RS, Boender TS, Sigaloff KC, Rinke de Wit TF, van Hensbroek MB, Ndembi N, et al. High levels of pre-treatment HIV drug resistance and treatment failure in Nigerian children. Journal of the International AIDS Society. 2016;19(1):21140. Epub 20161110. pmid:27836020; PubMed Central PMCID: PMC5106466.
  30. 30. Hong SY, Jonas A, DeKlerk M, Shiningavamwe A, Desta T, Badi A, et al. Population-based surveillance of HIV drug resistance emerging on treatment and associated factors at sentinel antiretroviral therapy sites in Namibia. J Acquir Immune Defic Syndr. 2015;68(4):463–71. Epub 2015/01/08. pmid:25564107; PubMed Central PMCID: PMC4334707.
  31. 31. Moorthy A, Kuhn L, Coovadia A, Meyers T, Strehlau R, Sherman G, et al. Induction therapy with protease-inhibitors modifies the effect of nevirapine resistance on virologic response to nevirapine-based HAART in children. Clin Infect Dis. 2011;52(4):514–21. Epub 2011/01/25. pmid:21258105; PubMed Central PMCID: PMC3060899.
  32. 32. Mungati M, Mhangara M, Gonese E, Mugurungi O, Dzangare J, Ngwende S, et al. Pre-treatment drug resistance among patients initiating antiretroviral therapy (ART) in Zimbabwe: 2008–2010. BMC Res Notes. 2016;9:302. Epub 2016/06/12. pmid:27287672; PubMed Central PMCID: PMC4902981.
  33. 33. Mzingwane ML, Tiemessen CT, Richter KL, Mayaphi SH, Hunt G, Bowyer SM. Pre-treatment minority HIV-1 drug resistance mutations and long term virological outcomes: is prediction possible? Virol J. 2016;13(1):170. Epub 2016/10/14. pmid:27733203; PubMed Central PMCID: PMC5062819.
  34. 34. Reynolds SJ, Laeyendecker O, Nakigozi G, Gallant JE, Huang W, Hudelson SE, et al. Antiretroviral drug susceptibility among HIV-infected adults failing antiretroviral therapy in Rakai, Uganda. AIDS Res Hum Retroviruses. 2012;28(12):1739–44. Epub 2012/03/27. pmid:22443282; PubMed Central PMCID: PMC3505045.
  35. 35. Telele NF, Kalu AW, Gebre-Selassie S, Fekade D, Abdurahman S, Marrone G, et al. Pretreatment drug resistance in a large countrywide Ethiopian HIV-1C cohort: a comparison of Sanger and high-throughput sequencing. Scientific reports. 2018;8(1):7556. Epub 2018/05/17. pmid:29765082; PubMed Central PMCID: PMC5954158.
  36. 36. Towler WI, Barlow-Mosha L, Church JD, Bagenda D, Ajuna P, Mubiru M, et al. Analysis of drug resistance in children receiving antiretroviral therapy for treatment of HIV-1 infection in Uganda. AIDS research and human retroviruses. 2010;26(5):563–8. Epub 2010/05/12. pmid:20455758; PubMed Central PMCID: PMC2875950.
  37. 37. Beesham I, Parikh UM, Mellors JW, Joseph Davey DL, Heffron R, Palanee-Phillips T, et al. High Levels of Pretreatment HIV-1 Drug Resistance Mutations Among South African Women Who Acquired HIV During a Prospective Study. Journal of acquired immune deficiency syndromes (1999). 2022;91(2):130–7. Epub 20220526. pmid:36094478; PubMed Central PMCID: PMC9651927.
  38. 38. Crowell TA, Danboise B, Parikh A, Esber A, Dear N, Coakley P, et al. Pretreatment and Acquired Antiretroviral Drug Resistance Among Persons Living With HIV in Four African Countries. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America. 2021;73(7):e2311–e22. pmid:32785695; PubMed Central PMCID: PMC8492117.
  39. 39. Kuhn L, Hunt G, Technau KG, Coovadia A, Ledwaba J, Pickerill S, et al. Drug resistance among newly diagnosed HIV-infected children in the era of more efficacious antiretroviral prophylaxis. AIDS (London, England). 2014;28(11):1673–8. pmid:24785949; PubMed Central PMCID: PMC4539942.
  40. 40. Moraka NO, Garcia-Broncano P, Hu Z, Ajibola G, Bareng OT, Pretorius-Holme M, et al. Patterns of pretreatment drug resistance mutations of very early diagnosed and treated infants in Botswana. AIDS (London, England). 2021;35(15):2413–21. pmid:34324451; PubMed Central PMCID: PMC8631156.
  41. 41. Geng EH, Glidden DV, Bangsberg DR, Bwana MB, Musinguzi N, Nash D, et al. A causal framework for understanding the effect of losses to follow-up on epidemiologic analyses in clinic-based cohorts: the case of HIV-infected patients on antiretroviral therapy in Africa. Am J Epidemiol. 2012;175(10):1080–7. Epub 20120203. pmid:22306557; PubMed Central PMCID: PMC3353135.
  42. 42. Canivet C, Nilsson A, Björk J, Moghaddassi M, Östergren PO. Assessment of selection bias due to dropouts in the follow-up of the Scania Public Health Cohort. Scand J Public Health. 2021;49(4):457–64. Epub 20200528. pmid:32466718; PubMed Central PMCID: PMC8135243.
  43. 43. Bertagnolio S, Hermans L, Jordan MR, Avila-Rios S, Iwuji C, Derache A, et al. Clinical Impact of Pretreatment Human Immunodeficiency Virus Drug Resistance in People Initiating Nonnucleoside Reverse Transcriptase Inhibitor-Containing Antiretroviral Therapy: A Systematic Review and Meta-analysis. The Journal of infectious diseases. 2020. Epub 20201117. pmid:33202025.
  44. 44. Inzaule SC, Jordan MR, Bello G, Wadonda-Kabondo N, Mounerou S, Mbulli IA, et al. High levels of resistance to nucleoside/nucleotide reverse transcriptase inhibitors in newly diagnosed antiretroviral treatment-naive children in sub-Saharan Africa. AIDS (London, England). 2020;34(10):1567–70. Epub 2020/05/23. pmid:32443062.
  45. 45. Boerma RS, Sigaloff KC, Akanmu AS, Inzaule S, Boele van Hensbroek M, Rinke de Wit TF, et al. Alarming increase in pretreatment HIV drug resistance in children living in sub-Saharan Africa: a systematic review and meta-analysis. J Antimicrob Chemother. 2017;72(2):365–71. Epub 2016/12/22. pmid:27999070.