Literature DB >> 35434174

Pretreatment Human Immunodeficiency Virus (HIV) Drug Resistance Among Treatment-Naive Infants Newly Diagnosed With HIV in 2016 in Namibia: Results of a Nationally Representative Study.

Michael R Jordan1,2, Leonard Bikinesi3, Laimi Ashipala3, Nicholus Mutenda3, Mary Brantuo4, Gillian Hunt5, Andreas Shiningavamwe6, Gram Mutandi7, Anita Beukes7, Suzanne Beard7,8, Katherine Battey7,8, Eric J Dziuban7, Elliot Raizes8, Paul Adjei1, Alice Tang9, Amalia Giron10, Steven Y Hong7.   

Abstract

Background: The World Health Organization (WHO) recommends routine surveillance of pretreatment human immunodeficiency virus (HIV) drug resistance (HIVDR) in children <18 months of age diagnosed with HIV through early infant diagnosis (EID). In 2016, 262 children <18 months of age were diagnosed with HIV in Namibia through EID. Levels of HIVDR in this population are unknown.
Methods: In 2016, Namibia surveyed pretreatment HIVDR among children aged <18 months following WHO guidance. Reverse transcriptase, protease, and integrase regions of HIV-1 were genotyped from remnant dried blood spot specimens from all infants diagnosed with HIV in Namibia in 2016. HIVDR was predicted using the Stanford HIVdb algorithm.
Results: Of 262 specimens genotyped, 198 HIV-1 protease and reverse transcriptase sequences and 118 HIV-1 integrase sequences were successfully amplified and analyzed. The prevalence of efavirenz/nevirapine (EFV/NVP), abacavir (ABC), zidovudine, lamivudine/emtricitabine (3TC/FTC), and tenofovir (TDF) resistance was 62.6%, 17.7%, 5.6%, 15.7%, and 10.1%, respectively. No integrase inhibitor resistance was detected. Conclusions: The high level of EFV/NVP resistance is unsurprising; however, levels of ABC and TDF resistance are among the highest observed to date in infants in sub-Saharan Africa. The absence of resistance to dolutegravir (DTG) is reassuring but underscores the need to further study the impact of ABC and 3TC/FTC resistance on pediatric protease inhibitor- and DTG-based regimens and accelerate access to other antiretroviral drugs. Results underscore the need for antiretroviral therapy optimization and prompt management of high viral loads in infants and pregnant and breastfeeding women.
© The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

Entities:  

Keywords:  HIV; Namibia; drug resistance; infants

Year:  2022        PMID: 35434174      PMCID: PMC9007920          DOI: 10.1093/ofid/ofac102

Source DB:  PubMed          Journal:  Open Forum Infect Dis        ISSN: 2328-8957            Impact factor:   3.835


Global coverage of prevention of mother-to-child transmission (PMTCT) services for human immunodeficiency virus (HIV) has increased dramatically, from 50% in 2010 to 80% by 2017 [1]. As of 2019, the number of new HIV infections among children aged 0–14 years had declined by 53% since 2010 [2]. Despite global PMTCT interventions, an estimated 150 000 (100 000–240 000) children were newly infected with HIV in 2020 [2]. PMTCT involves use of antiretroviral therapy (ART) for pregnant women living with HIV and prophylaxis of infants born to mothers living with HIV. While critical to reducing the number of new HIV infections in infants, expansion of nonnucleoside reverse transcriptase inhibitor (NNRTI)–based PMTCT has resulted in an increase in HIV drug resistance (HIVDR) among infants and children who acquire HIV infection [3]. Understanding the prevalence of HIVDR prior to ART initiation is important in children because, on average, they may have higher viral loads and more rapid disease progression compared to adults. The limited number of antiretroviral (ARV) drugs available for children necessitates use of the most potent and effective drugs possible. Moreover, HIVDR at the time of ART initiation, called pretreatment HIVDR (PDR), in children is a strong predictor of treatment failure and death [4-7]. Current World Health Organization (WHO)–recommended first-line regimens for children are age- and weight-based: for neonates <1 month of age, raltegravir (RAL) + zidovudine (AZT) + lamivudine (3TC) is recommended and for children ≥4 weeks of age and weighing between 3 and 30 kg, dolutegravir (DTG) + abacavir (ABC) + lamivudine (3TC) is recommended [8]. To support country-level, evidence-based regimen selection and to accelerate the programmatic transition from NNRTI- to non-NNRTI-based first-line ART (eg, DTG or protease inhibitor [PI]–based treatment, depending on the weight of the children), WHO recommends routine (every 3 years) surveys of PDR in ART-naive infants newly diagnosed with HIV through early infant diagnosis (EID) programs [9, 10]. Results of nucleoside or nucleotide reverse transcriptase inhibitor (NRTI) resistance prevalence also inform future optimal treatment strategies. At the time of specimen collection in Namibia in 2016, the preferred first-line ART regimen for adults including pregnant women was tenofovir (TDF) in combination with either emtricitabine (FTC) or 3TC and efavirenz (EFV) administered once daily as a fixed-dose combination. The preferred first-line regimen for infants >2 weeks of age to 2 months of age was zidovudine (AZT) in combination with 3TC and ritonavir-boosted lopinavir, with ABC being substituted for AZT from ages 3 to 35 months. Finally, at the time of specimen collection, infants received nevirapine (NVP) plus AZT for 6 weeks (high-risk mother, eg, new HIV diagnosis, women with virological failure within 3 months prior to delivery, or women on ART for <1 month) or NVP alone for 6 weeks as prophylaxis against HIV [11]. Studies of HIVDR in infants born to mothers with HIV in some sub-Saharan African countries have been published [12, 13]. This report presents the findings of the first national PDR survey conducted in ART-naive infants diagnosed with HIV in Namibia in 2016 through the national EID program. The study had the following 2 objectives: (1) to calculate the nationally representative prevalence of any HIVDR among all ART-naive children <18 months of age newly diagnosed with HIV, regardless of PMTCT exposure; and (2) to calculate the nationally representative prevalence of HIVDR to NNRTIs (NVP or EFV) among all ART-naive children <18 months of age newly diagnosed with HIV, regardless of PMTCT exposure.

MATERIALS AND METHODS

Study Design

In 2016, Namibia stored remnant diagnostic specimens from all ART-naive infants diagnosed with HIV through the country’s EID program for HIV for the purpose of conducting this national survey. In total, 18 000 specimens were tested for HIV in Namibia’s EID program in 2016. Of all specimens tested, 262 were confirmed to be HIV positive and were identified by the Namibia Institute of Pathology (NIP) as being from unique individual children <18 months of age. Uniqueness was assessed by NIP using name and date of birth. Remnant specimens from all 262 ART-naive children <18 months of age diagnosed with HIV in 2016 were tested for HIVDR.

Laboratory Procedures

Early Infant Diagnosis

Namibia used an EID algorithm to diagnose HIV in ART-naive children <18 months of age. The national algorithm was based on the use of a nucleic acid amplification test (NAAT) that identifies both HIV DNA and RNA in dried blood spots (DBSs). A positive initial NAAT followed by a repeat positive NAAT on the same specimen confirmed true HIV infection in a child. NAT was performed by only 1 laboratory in Namibia, NIP, using Cobas AmpliPrep/Cobas TaqMan HIV-1 qualitative test V2 (Roche Diagnostics), according to the manufacturer’s instructions.

Specimen Collection, Handling, and Processing for HIVDR Testing

The study leveraged remnant DBS specimens used for NAAT confirmation of HIV infection in children tested through Namibia’s EID program. DBS cards were stored at –70°C at NIP from time of confirmatory testing. DBS specimens were collected and transported per WHO guidelines for the collection of DBS specimens being collected, processed, stored, and handled for the purpose of HIVDR testing [14]. DBS specimens were shipped on dry ice from NIP to the National Health Laboratory Service, South Africa, for HIVDR testing.

HIVDR Testing

Remnant specimens were sent to the WHO-designated HIVDR genotyping laboratory at the National Institute of Communicable Diseases, Johannesburg, South Africa. HIVDR genotyping of the HIV-1 reverse transcriptase and protease regions were performed using established Sanger sequencing methods [15]. The integrase region of HIV-1 was sequenced using an internally validated in-house Sanger sequencing method.

Data Analysis

The WHO/British Columbia Centre For Excellence in HIV/AIDS HIVDR quality control tool was used for posttesting quality assurance [16]. All sequences excluded for reasons of quality were found to be duplicates (ie, likely 2 specimens from the same infant) based on distance measurements (<0.5 genetic distance). The prevalence of HIVDR was predicted using the Stanford HIVdb algorithm (version 8.9-1) with sequences categorized as susceptible or as having potential low-level HIVDR classified as susceptible and sequences with predicted low-, intermediate-, or high-level resistance classified as drug resistant [17, 18]. HIV subtype was assigned using the Stanford HIVdb subtyping tool [19]. No de-identified demographic data, including ARV drug exposure histories, were available for analysis; thus, only national estimates of PDR among treatment-naive infants, regardless of PMTCT exposure, were estimated. Weighted statistical analysis was performed using Stata version 15.1 software (StataCorp LLC, College Station, Texas) following the WHO recommendations to adjust for genotyping failure. Study design–weighted proportion and 95% confidence interval (CI) were calculated.

RESULTS

The genotyping success rate was 92.7% (243/262) for the HIV-1 protease and reverse transcriptase regions and 53.8% (141/262) for the HIV-1 integrase region. After quality assurance, 198 protease and reverse transcriptase sequences and 118 integrase sequences were available for analysis. The prevalence of resistance to EFV/NVP was 62.6% (95% CI, 55.6%–69.1%) and the prevalence of any NNRTI resistance was 65.7% (95% CI, 58.7%–72.0%) (Table 1). Any NRTI resistance was 20.7% (95% CI, 15.6%–27.0%), and the prevalence of resistance to any NRTI in combination with EFV/NVP was 18.7% (95% CI, 13.8%–24.8%). Any ritonavir-boosted PI resistance was present at a prevalence of 1.5% (95% CI, .5%–4.6%) and the prevalence of any resistance to atazanavir, darunavir, or lopinavir was 1.0% (95% CI, .2%–4.0%). No integrase inhibitor resistance was detected. The prevalence of drug resistance by drug class is presented in Figure 1. Of the 17.7% (95% CI, 12.9%–23.7%; 35/198) with predicted ABC resistance, 34.2% (12/35) had only the M184IV mutation, predicting low-level ABC resistance, whereas 68.5% (24/35) had either M184IV in combination with K65R or a thymidine analogue mutation, or K65R with other resistance-associated mutations. The prevalence of predicted TDF resistance was 10.1% (95% CI, 6.6%–15.2%) and the TDF-associated mutation, K65NRE, was detected at a frequency of 6.6%, with the remainder for predicted TDF resistance caused by the presence of thymidine analogue mutations present in combination (eg, M41L and L210W).
Table 1.

Prevalence of Pretreatment Human Immunodeficiency Virus (HIV) Drug Resistance by Drug Class Among Antiretroviral Therapy–Naive Children <18 Months of Age Newly Diagnosed With HIV in Namibia, 2016

Drug or Drug Class% (95% CI)
XXX
 EFV or NVP62.6 (55.6–69.1)
 Any NNRTI65.7 (58.7–72.0)
 Any NRTI20.7 (15.6–27.0)
 NRTI or EFV/NVP64.6 (57.7–71.0)
 NRTI and EFV/NVP18.7 (13.8–24.8)
 ATV/r, DRV/r, or LPV/r1.0 (.2–4.0)
 Any ritonavir-boosted PI1.5 (.5–4.6)
 Any NRTI, EFV, NVP, ATV/r, DRV/r, or LPV/r64.6 (57.7–71.0)
 Any INI0.0 (.0–3.2)

Human immunodeficiency virus drug resistance was assessed using the Stanford HIVdb algorithm (version 8.9-1), with virus predicted to have low-, intermediate-, or high-level resistance categorized as resistant. One hundred ninety-eight reverse transcriptase and protease sequences and 118 integrase sequences were available.

Abbreviations: ATV/r, ritonavir-boosted atazanavir; CI, confidence interval; DRV/r, ritonavir-boosted darunavir; EFV, efavirenz; INI, integrase inhibitor; LPV/r, ritonavir-boosted lopinavir; NNRTI, nonnucleoside reverse transcriptase inhibitor; NRTI, nucleoside reverse transcriptase inhibitor; NVP, nevirapine; PI, protease inhibitor.

Study design–weighted proportion and 95% CI.

Figure 1.

Prevalence of pretreatment human immunodeficiency virus (HIV) drug resistance by drug among antiretroviral therapy–naive children <18 months of age newly diagnosed with HIV in Namibia, 2016. Study design–weighted prevalence and 95% confidence interval of pretreatment HIV drug resistance among infants aged <18 months, newly diagnosed with HIV and treatment-naive, are shown. HIV drug resistance was assessed using the Stanford HIVdb algorithm (version 8.9-1), with virus predicted to have low-, intermediate-, or high-level resistance categorized as resistant. One hundred ninety-eight reverse transcriptase and protease sequences and 118 integrase sequences were available. Abbreviations: 3TC, lamivudine; ABC, abacavir; ATV/r, ritonavir-boosted atazanavir; AZT, zidovudine; BIC, bictegravir; d4T, stavudine; ddI, didanosine; DOR, doravirine; DRV/r, ritonavir-boosted darunavir; DTG, dolutegravir; EFV, efavirenz; ETR, etravirine; EVG, elvitegravir; FPV/r, ritonavir-boosted fosamprenavir; FTC, emtricitabine; HIV, human immunodeficiency virus; IDV/r, ritonavir-boosted indinavir; INI, integrase inhibitor; LPV/r, ritonavir-boosted lopinavir; NFV, nelfinavir; NNRTI, nonnucleoside reverse transcriptase inhibitor; NRTI, nucleoside reverse transcriptase inhibitor; NVP, nevirapine; PI, protease inhibitor; RAL, raltegravir; RVP, rilpivirine; SQV/r, ritonavir-boosted saquinavir; TDF, tenofovir; TPV/r, ritonavir-boosted tipranavir.

Prevalence of Pretreatment Human Immunodeficiency Virus (HIV) Drug Resistance by Drug Class Among Antiretroviral Therapy–Naive Children <18 Months of Age Newly Diagnosed With HIV in Namibia, 2016 Human immunodeficiency virus drug resistance was assessed using the Stanford HIVdb algorithm (version 8.9-1), with virus predicted to have low-, intermediate-, or high-level resistance categorized as resistant. One hundred ninety-eight reverse transcriptase and protease sequences and 118 integrase sequences were available. Abbreviations: ATV/r, ritonavir-boosted atazanavir; CI, confidence interval; DRV/r, ritonavir-boosted darunavir; EFV, efavirenz; INI, integrase inhibitor; LPV/r, ritonavir-boosted lopinavir; NNRTI, nonnucleoside reverse transcriptase inhibitor; NRTI, nucleoside reverse transcriptase inhibitor; NVP, nevirapine; PI, protease inhibitor. Study design–weighted proportion and 95% CI. Prevalence of pretreatment human immunodeficiency virus (HIV) drug resistance by drug among antiretroviral therapy–naive children <18 months of age newly diagnosed with HIV in Namibia, 2016. Study design–weighted prevalence and 95% confidence interval of pretreatment HIV drug resistance among infants aged <18 months, newly diagnosed with HIV and treatment-naive, are shown. HIV drug resistance was assessed using the Stanford HIVdb algorithm (version 8.9-1), with virus predicted to have low-, intermediate-, or high-level resistance categorized as resistant. One hundred ninety-eight reverse transcriptase and protease sequences and 118 integrase sequences were available. Abbreviations: 3TC, lamivudine; ABC, abacavir; ATV/r, ritonavir-boosted atazanavir; AZT, zidovudine; BIC, bictegravir; d4T, stavudine; ddI, didanosine; DOR, doravirine; DRV/r, ritonavir-boosted darunavir; DTG, dolutegravir; EFV, efavirenz; ETR, etravirine; EVG, elvitegravir; FPV/r, ritonavir-boosted fosamprenavir; FTC, emtricitabine; HIV, human immunodeficiency virus; IDV/r, ritonavir-boosted indinavir; INI, integrase inhibitor; LPV/r, ritonavir-boosted lopinavir; NFV, nelfinavir; NNRTI, nonnucleoside reverse transcriptase inhibitor; NRTI, nucleoside reverse transcriptase inhibitor; NVP, nevirapine; PI, protease inhibitor; RAL, raltegravir; RVP, rilpivirine; SQV/r, ritonavir-boosted saquinavir; TDF, tenofovir; TPV/r, ritonavir-boosted tipranavir. The prevalence of drug resistance mutations present at ≥0.5% of all sequences analyzed is shown in Table 2. Of note, the integrase inhibitor mutations Q95K, T97A, and E157Q were detected but are insufficient to cause resistance. The most frequently observed HIV-1 subtype was subtype C (90.1%). Other HIV-1 subtypes were CRF02_AG (6.9%), subtype A (2%), subtype B (0.5%), and subtype G (0.5%).
Table 2.

Human Immunodeficiency Virus Drug Resistance Mutations Present at ≥0.5% of All Sequences Analyzed

NRTINNRTIPIINI
Mutation%Mutation%Mutation%Mutation%
M41L1.0K101EHP6.1M46ILV3.0 Q95K 0.8
K65ENR6.6K103HNST36.9I54VLMATS0.5 T97A 1.7
D67EGHNSTDel3.5V106MA11.1L76V0.5 E157Q 0.8
T69DGDelIns1.0V179FL0.5V82ATFSCML1.0
K70EGNQRST3.5Y181CFGISV31.8I85V0.5
L74VI0.5Y188CFHL3.0 L10F 0.5
V75AIMST1.0G190ACEQSTV2.0 V11IL 1.5
Y115F0.5P225H4.0 Q58E 0.5
M184VI13.1 A98G 3.5
L210W1.0 K103R 2.0
T215ACDEFILNSVY4.0 V108I 6.1
K219QENRW4.5 E138A 6.6
E44AD 1.0 E138GKQR 1.5
A62V 3.0 V179DE 3.0
H221Y 6.6
F227CILV 2.5

Abbreviations: INI, integrase inhibitor; NNRTI, nonnucleoside reverse transcriptase inhibitor; NRTI, nucleoside reverse transcriptase inhibitor; PI, protease inhibitor.

Unweighted proportions of sequences with surveillance drug resistance mutations (SDRMs) as defined in Bennett et al [20] and Tzou et al [21], plus other rare variants at the same positions that are not polymorphic, and other mutations (non-SDRM) that have non-zero penalty scores in the Stanford HIVdb algorithm (italicized mutations). One hundred ninety-eight reverse transcriptase and protease sequences and 118 integrase sequences were available.

Human Immunodeficiency Virus Drug Resistance Mutations Present at ≥0.5% of All Sequences Analyzed Abbreviations: INI, integrase inhibitor; NNRTI, nonnucleoside reverse transcriptase inhibitor; NRTI, nucleoside reverse transcriptase inhibitor; PI, protease inhibitor. Unweighted proportions of sequences with surveillance drug resistance mutations (SDRMs) as defined in Bennett et al [20] and Tzou et al [21], plus other rare variants at the same positions that are not polymorphic, and other mutations (non-SDRM) that have non-zero penalty scores in the Stanford HIVdb algorithm (italicized mutations). One hundred ninety-eight reverse transcriptase and protease sequences and 118 integrase sequences were available.

DISCUSSION

In this study of treatment-naive infants in Namibia, detected levels of HIVDR were largely driven by NNRTI resistance, which was present in 65.7% of cases. As expected, the most frequently detected NNRTI resistance-associated mutations were at positions 103, 106, and 181. In contrast, the prevalence of NRTI resistance (20.7%) was lower and was driven by resistance to ABC, 3TC/FTC, and stavudine, with only 5.6% of cases exhibiting resistance to AZT. The prevalence of predicted tenofovir resistance (10.1%) was higher than that reported by any country providing data to WHO’s 2021 global report on HIVDR [22]. In the 2021 global report, TDF resistance peaked at just over 7.7% in 1 of 10 countries reporting data [22]. Study findings highlight the increasing levels of PDR to the NRTI drug class in this population. The prevalence of ABC resistance (17.7%) is high and only 1 of 9 countries (Nigeria) reporting data to WHO in 2021 reached similar levels. However, in Namibia, 6.0% (12/199) with predicted ABC resistance had only the M184IV mutation and therefore are likely to derive clinical benefit from ABC. Although the absence of infant ARV drug exposure and breastfeeding status is an acknowledged limitation and exposure to PMTCT may have contributed to some level of observed thymidine analogue and NNRTI resistance, observed levels of TDF and ABC resistance are high and concerning—a finding that suggests prolonged maternal virological failure in the setting of ongoing drug-selective pressure. Current WHO-recommended first-line regimens for infants are age- and weight-based [23], and results from this study suggest the need for caution when using ABC and 3TC in combination with drugs that have a low genetic barrier for resistance (eg, NVP or RAL). The high levels of NNRTI resistance in infants are not surprising and support WHO’s recommendation to accelerate access to child-friendly, non-NNRTI-based formulations to prevent poor treatment outcomes. The absence of any predicted resistance to the integrase inhibitor DTG is expected and underscores the need to understand the impact of ABC + lamivudine or emtricitabine resistance on DTG and PI regimens for children and the need to accelerate access to other NRTIs such as tenofovir alafenamide and drugs from new classes such as islatravir or lenacapavir. Adoption of algorithms with more frequent viral load monitoring of HIV-infected infants, children, and pregnant and breastfeeding mothers compared to the general adult population as recommended by WHO is critical for early identification of virologic failure and prevention of HIVDR. Where these algorithms have already been adopted as part of national guidelines, ensuring widespread programmatic access to viral load testing should be prioritized by national programs.

CONCLUSIONS

The high levels of NNRTI drug resistance observed in this nationally representative cohort are unsurprising; however, levels of ABC and TDF resistance are among the highest observed in infants in sub-Saharan Africa. The absence of resistance to DTG is reassuring but underscores the need to further study the impact of ABC and 3TC/FTC resistance on pediatric PI- and DTG-based regimens and accelerate access to other ARV drugs. Results underscore the need for ART optimization and prompt management of high viral loads in infants and pregnant and breastfeeding women to further minimize HIV transmission including transmission of drug-resistant virus [24, 25]. Finally, results suggest that HIVDR genotyping may be considered for all children born to HIV-infected women and, in particular, those children born to mothers whose treatment has failed.
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1.  Integrase strand transfer inhibitor (INSTI)-resistance mutations for the surveillance of transmitted HIV-1 drug resistance.

Authors:  Philip L Tzou; Soo-Yon Rhee; Diane Descamps; Dana S Clutter; Bradley Hare; Orna Mor; Maxime Grude; Neil Parkin; Michael R Jordan; Silvia Bertagnolio; Jonathan M Schapiro; P Richard Harrigan; Anna Maria Geretti; Anne-Geneviève Marcelin; Robert W Shafer
Journal:  J Antimicrob Chemother       Date:  2020-01-01       Impact factor: 5.790

Review 2.  Alarming increase in pretreatment HIV drug resistance in children living in sub-Saharan Africa: a systematic review and meta-analysis.

Authors:  R S Boerma; K C E Sigaloff; A S Akanmu; S Inzaule; M Boele van Hensbroek; T F Rinke de Wit; J C Calis
Journal:  J Antimicrob Chemother       Date:  2016-12-20       Impact factor: 5.790

3.  Drug resistance mutations for surveillance of transmitted HIV-1 drug-resistance: 2009 update.

Authors:  Diane E Bennett; Ricardo J Camacho; Dan Otelea; Daniel R Kuritzkes; Hervé Fleury; Mark Kiuchi; Walid Heneine; Rami Kantor; Michael R Jordan; Jonathan M Schapiro; Anne-Mieke Vandamme; Paul Sandstrom; Charles A B Boucher; David van de Vijver; Soo-Yon Rhee; Tommy F Liu; Deenan Pillay; Robert W Shafer
Journal:  PLoS One       Date:  2009-03-06       Impact factor: 3.240

4.  Mortality of infected and uninfected infants born to HIV-infected mothers in Africa: a pooled analysis.

Authors:  Marie-Louise Newell; Hoosen Coovadia; Marjo Cortina-Borja; Nigel Rollins; Philippe Gaillard; Francois Dabis
Journal:  Lancet       Date:  2004 Oct 2-8       Impact factor: 79.321

5.  Comparison of human immunodeficiency virus type 1 viral loads in Kenyan women, men, and infants during primary and early infection.

Authors:  Barbra A Richardson; Dorothy Mbori-Ngacha; Ludo Lavreys; Grace C John-Stewart; Ruth Nduati; Dana D Panteleeff; Sandra Emery; Joan K Kreiss; Julie Overbaugh
Journal:  J Virol       Date:  2003-06       Impact factor: 5.103

6.  Drug resistance among newly diagnosed HIV-infected children in the era of more efficacious antiretroviral prophylaxis.

Authors:  Louise Kuhn; Gillian Hunt; Karl-Günter Technau; Ashraf Coovadia; Johanna Ledwaba; Sam Pickerill; Martina Penazzato; Silvia Bertagnolio; Claude A Mellins; Vivian Black; Lynn Morris; Elaine J Abrams
Journal:  AIDS       Date:  2014-07-17       Impact factor: 4.177

7.  Optimization of a low cost and broadly sensitive genotyping assay for HIV-1 drug resistance surveillance and monitoring in resource-limited settings.

Authors:  Zhiyong Zhou; Nick Wagar; Joshua R DeVos; Erin Rottinghaus; Karidia Diallo; Duc B Nguyen; Orji Bassey; Richard Ugbena; Nellie Wadonda-Kabondo; Michelle S McConnell; Isaac Zulu; Benson Chilima; John Nkengasong; Chunfu Yang
Journal:  PLoS One       Date:  2011-11-23       Impact factor: 3.240

8.  Children who acquire HIV infection perinatally are at higher risk of early death than those acquiring infection through breastmilk: a meta-analysis.

Authors:  Renaud Becquet; Milly Marston; François Dabis; Lawrence H Moulton; Glenda Gray; Hoosen M Coovadia; Max Essex; Didier K Ekouevi; Debra Jackson; Anna Coutsoudis; Charles Kilewo; Valériane Leroy; Stefan Z Wiktor; Ruth Nduati; Philippe Msellati; Basia Zaba; Peter D Ghys; Marie-Louise Newell
Journal:  PLoS One       Date:  2012-02-23       Impact factor: 3.240

9.  High levels of pre-treatment HIV drug resistance and treatment failure in Nigerian children.

Authors:  Ragna S Boerma; T Sonia Boender; Kim C E Sigaloff; Tobias F Rinke de Wit; Michael Boele van Hensbroek; Nicaise Ndembi; Titilope Adeyemo; Edamisan O Temiye; Akin Osibogun; Pascale Ondoa; Job C Calis; Alani Sulaimon Akanmu
Journal:  J Int AIDS Soc       Date:  2016-11-10       Impact factor: 5.396

10.  High Prevalence of HIV Drug Resistance Among Newly Diagnosed Infants Aged <18 Months: Results From a Nationwide Surveillance in Nigeria.

Authors:  Seth C Inzaule; Samuels J Osi; Gbenga Akinbiyi; Asadu Emeka; Hadiza Khamofu; Rex Mpazanje; Oluwafunke Ilesanmi; Nicaise Ndembi; Solomon Odafe; Kim C E Sigaloff; Tobias F Rinke de Wit; Sulaimon Akanmu
Journal:  J Acquir Immune Defic Syndr       Date:  2018-01-01       Impact factor: 3.731

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