Literature DB >> 26617663

Virological outcome among HIV-1 infected patients on first-line antiretroviral treatment in semi-rural HIV clinics in Togo.

Abla A Konou1, Mounerou Salou2, Nicole Vidal3, Pascal Kodah4, Damobé Kombate5, Pyabalo Kpanla6, Tchabia Nabroulaba7, Djifa Nyametso8, Assétina Singo-Tokofaï9, Palokinam Pitche10, Eric Delaporte3, Mireille Prince-David2, Martine Peeters3, Anoumou Y Dagnra11.   

Abstract

BACKGROUND: Access to antiretroviral treatment (ART) in resource-limited countries has increased significantly but scaling-up ART into semi-rural and rural areas is more recent. Information on treatment outcome in such areas is still very limited notably due to additional difficulties to manage ART in these areas.
RESULTS: 387 HIV-1 infected adults (≥18 years) were consecutively enrolled when attending healthcare services for their routine medical visit at 12 or 24 months on first-line ART in five HIV care centers (four semi-rural and one rural). Among them, 102 patients were on first-line ART for 12 ± 2 months (M12) and 285 for 24 ± 2 months (M24). Virological failure was observed in 70 (18.1 %) patients ranging from 13.9 to 31.6 % at M12 and from 8.1 to 22.4 % at M24 across the different sites. For 67/70 patients, sequencing was successful and drug resistance mutations were observed in 65 (97 %). The global prevalence of drug resistance in the study population was thus at least 16.8 % (65/387). Moreover, 32 (8.3 %) and 27 (6.9 %) patients were either on a completely ineffective ART regime or with only a single drug active. Several patients accumulated high numbers of mutations and developed also cross-resistance to abacavir, didanosine or the new NNRTI drugs like etravirine and rilpivirine.
CONCLUSION: The observations on ART treatment outcome from ART clinics in semi-rural areas are close to previous observations in Lomé, the capital city suggesting that national ART-programme management plays a role in treatment outcome.

Entities:  

Keywords:  Africa; Antiretroviral treatment; Drug resistance; HIV; Public health; Semi-rural; Togo

Year:  2015        PMID: 26617663      PMCID: PMC4662816          DOI: 10.1186/s12981-015-0082-7

Source DB:  PubMed          Journal:  AIDS Res Ther        ISSN: 1742-6405            Impact factor:   2.250


Findings

Background

Scale-up of antiretroviral treatment (ART) programs in resource-limited countries was possible because standardized first and second line antiretroviral (ARV) combinations and clinical and/or immunological criteria to start and monitor ART were used as recommended by WHO [1]. However, heterogeneous treatment outcomes have been observed in the national ART programs from different countries, most likely related to ART-programme management [2]. As such, virological failure can range from less than 3 % to more than 20 % in patients on ART for 12 or 24 months [2-4]. In Togo, a country of six million inhabitants in West Africa, scaling-up of ART started in 2007 in Lomé, the capital city, and has expanded to semi-rural areas in 2008. In 2013, almost 50 % of patients who were in need for ART according to WHO guidelines from 2010 (CD4 count <350) were receiving ART [5]. Previous studies in ART clinics in Lomé showed high virological failure related to ARV drug resistance, i.e. in 13 to 25 % of the patients receiving ART for 12 or 24 months [2, 6]. Given the additional difficulties to manage ART in these areas (distances to clinics, scarce human resources, drug stock-outs, etc.) together with high rates of ARV drug resistance in the capital city, it was important to evaluate also virological outcome and emergence of drug resistance in ART clinics located in semi-urban and rural areas in Togo.

Methods

Study sites and population

A cross-sectional study was conducted in 2012 between January and July in five HIV care centers that administer ARV drugs and monitor treatment. They were located in four semi-rural cities: Aného (AN), Kpalimé (KP), Atakpamé (AT) and Kara (KA) at respectively 60, 120, 160 and 410 km from Lomé, the capital city, and in one rural city, Kouvé (KO) at 70 km distance from Lomé (Fig. 1). HIV-1 infected adults (≥18 years) were consecutively enrolled when attending clinics for their routine medical visit at 12 ± 2 months or 24 ± 2 months on first-line ART. This study was approved by the National Ethics Committee (nº751/2014/MS/CAB/DGS/DPLET/CBRS). Informed consent was obtained for each participating patient. Questionnaires were used to collect epidemiological and demographic information and ART history was obtained from on-site medical records. Whole blood was drawn and plasma was separated by centrifugation. Plasma aliquots were stored at −20 °C for maximum 1 week on site and were subsequently transported by road in a cool box to the Laboratoire de Biologie Moléculaire et d’Immunologie (BIOLIM/FSS-UL) where they were stored at −80 °C until use.
Fig. 1

Togo map indicating locations of the healthcare centers where patients were enrolled. The sites where samples were collected for this study are indicated with grey full circles, and the name of the corresponding city at the right. Lomé, the capital city, is indicated with a black full circle

Togo map indicating locations of the healthcare centers where patients were enrolled. The sites where samples were collected for this study are indicated with grey full circles, and the name of the corresponding city at the right. Lomé, the capital city, is indicated with a black full circle

Virological analyses

HIV-1 viral load (VL) was determined with EasyQ HIV assay (Biomerieux, Capronne, France) or RealTime m2000rt (Abbott Pack, IL, USA) in Lomé (BIOLIM/FSS-UL). According to WHO recommendations, genotypic drug resistance testing was done in a WHO accredited laboratory (IRD, Montpellier, France) on patients with VL ≥1000 copies/ml. Protease and partial Reverse Transcriptase (RT) were amplified with the in-house protocol from the Agence Nationale de Recherche sur le Sida et les Hépatites en France (ANRS) [2, 7]. Drug resistance mutations (DRM) were identified using the ANRS interpretation algorithm, version 24 [7]. The newly reported sequences are available in GenBank under the following accession numbers: KR047793–KR047859.

Results

A total of 387 patients were consecutively enrolled during their follow-up visit at 12 ± 2 (M12, n = 102) or 24 ± 2 (M24, n = 285) months on ART. Table 1 shows patients characteristics at each site. Overall, more women were enrolled than men: 84/102 (82.4 %) at M12 and 205/285 (71.9 %) at M24. The median age of patients was 36 (IQR 31–42) and 39 years (IQR 33–45) at M12 and M24, respectively. More than 97 % (277/285) of patients have been exposed to the following drugs in their first line regimen: stavudine (d4T) and/or zidovudine (AZT) plus lamivudine (3TC) plus nevirapine (NVP) and/or efavirenz (EFV). For 302 (78 %) patients, d4T was replaced by AZT because national guidelines were changed. Only eight (2.8 %) patients switched to tenofovir (TDF) instead of AZT or d4T. At ART initiation the overall median CD4 count/mm3 was 176 (IQR 86–261) and 152 (IQR 88–219) for the patients who were on ART for 12 ± 2 and 24 ± 2 months, respectively. Overall, 153/373 (41.1 %) and 220/373 (58.9 %) of the patients were in WHO stages 1 or 2 and WHO stages 3 or 4, respectively at ART start. However, CD4 counts and WHO stages at ART initiation could vary across the different sites (Table 1).
Table 1

Characteristics of patients with 12 (M12) or 24 (M24) months ART experience

CharacteristicsM12M24
Aného (AN)Kpalimé (KP)Atakpamé (AT)Kara (KA)TotalAného (AN)Kouvé (KO)Kpalimé (KP)Atakpamé (AT)Kara (KA)Total
Number of patients (n)1914264310258103375037285
Women (%)17 (89.5 %)13 (92.8 %)20 (76.9 %)34 (79.1 %)84 (82.4 %)42 (72.4 %)74 (71.9 %)26 (70.3 %)39 (78.0 %)24 (64.9 %)205 (71.9 %)
Median age years (IQR)42 (35–51)38 (36–49)35 (33–42)36 (31–40)36 (31–42)40 (35–44)38 (32–45)40 (34–46)36 (30–46)37 (33–42)39 (33–45)
WHO stages
 1/22/19 (10.5 %)9/14 (64.3 %)15/24 (62.5 %)20/42 (47.6 %)46/99 (46.4 %)13/58 (22.4 %)24/102 (23.5 %)18/34 (52.9 %)39/43 (90.7 %)13/37 (35.1 %)107/274 (39.1 %)
 3/417/19 (89.5 %)5/14 (35.7 %)9/24 (37.5 %)22/42 (52.4 %)53/99 (53.6 %)45/58 (77.6 %)78/102 (76.5 %)16/34 (47.1 %)4/43 (9.3 %)24/37 (64.9 %)167/274 (60.9 %)
CD4 counts available at baseline (n)18 (94.7 %)14 (100 %)26 (100 %)43 (100 %)101 (99.0 %)56/58 (96.6 %)103/103 (100 %)31/37 (83.8 %)42/50 (84 %)35/37 (94.6 %)667/285 (93.7 %)
Median CD4 counts at baseline (IQR)107 (86–181)109 (71–235)197 (111–277)202 (101–274)176 (86–261)134 (110–210)154 (75–232)120 (80–158)201 (167–242)135 (106–185)152 (88–219)
First line drugs n (%)
 AZT-3TC-EFV1 (5.3 %)1 (3.8 %)1 (2.3 %)3 (2.9 %)1 (1.7 %)6 (5.8 %)2 (5.4 %)10 (20.0 %)3 (8.1 %)23 (8.1 %)
 AZT-3TC-NVP1 (5.3 %)10 (23.3 %)11 (10.8 %)7 (12.1 %)6 (12.0 %)13 (4.6 %)
 AZT-3TC-NVP/EFV2 (1.9 %)2 (0.7 %)
 D4T-3TC-NVP1 (5.3 %)5 (35.7 %)7 (26.9 %)2 (4.7 %)15 (14.7 %)4 (6.9 %)3 (2.9 %)1 (2.0 %)1 (2.7 %)9 (3.2 %)
 D4T/AZT-3TC-NVP16 (84.2 %)7 (20.0)15 (57.7 %)28 (65.1 %)66 (64.7 %)43 (75.8 %)86 (83.5 %)32 (86.5 %)32 (64.0 %)33 (89.2 %)226 (79.3 %)
 D4T/AZT-3TC-NVP/EFV2 (10.0 %)1 (3.8 %)3 (2.9 %)3 (5.2 %)1 (0.98 %)3 (8.1 %)7 (2.5 %)
 D4T/AZT/TDF-3TC-NVP/EFV1 (3.8 %)1 (2.3 %)2 (1.9 %)2 (1.9 %)2 (0.7 %)
 TDF-3TC-AZT1 (0.98 %)1 (0.3 %)
 TDF-3TC-NVP1 (3.8 %)1 (0.99 %)
 AZT/TDF-3TC-NVP/EFV1 (2.3 %)1 (0.99 %)
 D4T/AZT/TDF-3TC-EFV1 (0.98 %)1 (0.3 %)
 AZT/TDF-3TC-EFV1 (0.98 %)1 (0.3 %)
 VL >1000 copies/ml n (%)6/19 (31.6 %)3/14 (23.1 %)5/26 (19.2 %)6/43 (13.9 %)20/102 (19.6 %)13/58 (22.4 %)14/103 (13.6 %)11/37 (29.7 %)9/50 (18.0 %)3/37 (8.1 %)50/285 (17.5 %)
 Obtained pol sequences (n/n tested)6/63/35/56/620/2012/1314/1410/118/93/347/50
 Frequency of drug resistant HIV (n/n tested)6/63/35/56/620/2012/1213/1410/107/83/345/47
 NRTI only00000/20001102
 NNRTI only00000/20310004
 NRTI + NNRTI635620/2091296339
 Global drug resistance n (%)6/19 (31.6 %)3/14 (23.1 %)5/26 (19.2 %)6/43 (13.9 %)20/102 (19.6 %)12/58 (20.7 %)13/103 (12.6 %)10/37 (27.0 %)7/50 (14.0 %)3/37 (8.1 %)45/285 (15.8 %)
 Resistance to 2 drugs of first line ART433212/202652015/45
 Resistance to 3 drugs of first line ART20248/207654325/45
Cross-resistance to second line NNRTI
 ETV10113/203331111/45
 RPV313613/209865331/45
Cross-resistance to other NRTIs
 ABC2(I)0213/20213129/45
 DDI00101/20200002/45
 TDF00101/20110002/45
Characteristics of patients with 12 (M12) or 24 (M24) months ART experience Seventy patients (18.1 %; CI95 14.5–22.2 %) had VL >1000 copies/ml; 20/102 (19.6 %; CI95 13.4–29.2 %) at M12 and 50/285 (17.5 %; CI95 13.5–22.4 %) at M24. Virological failure ranged from 13.9 to 31.6 % at M12 and from 8.1 to 22.4 % at M24. For 67 (95.7 %) patients, sequencing was successful and DRM were observed in 65 (97 %) of them; i.e. 20/20 at M12 and 45/47 at M24. Among the 65 drug resistant HIV strains, 59 were resistant to NRTIs and NNRTIs, two to NRTIs only and four to NNRTIs only. The global prevalence of drug resistance in the study population was thus at least 16.8 % (13.4–20.9 %, 95 % CI) (65/387), but 27 patients (6.9 %; 4.8–9.9 %, 95 % CI) were infected with HIV strains resistant to two of the three first-line ARVs and 32 (8.3 %; 5.9–11.4 %, 95 % CI) to all three first line ARVs. As expected, the observed DRM were associated with the drugs used in first-line regimens (Table 2). M184 V selected by 3TC was the most frequent NRTI mutation, 56/65 (86.2 %). Frequently observed TAMs included M41L, D67 N/D, K70R, K219E/Q and T215Y/F. The K65R mutation was seen in two patients. One-third of the patients had at least 3 or more NRTI mutations and several patients were already predicted to be resistant to ABC (n = 12), DDI (n = 2) or tenofovir (TDF) (n = 3). Among NNRTI mutations, Y181C/Y and K103N were most frequently observed and 15 (23.1 %) patients accumulated at least three NNRTI mutations, with 14 (21.5 %) and 44 (67.7 %) that were predicted to be resistant to second line NNRTIs ETV and RPV, respectively.
Table 2

Drug resistance mutations to the first line antiretroviral drugs after 12 and 24 months on ART

Patient codeMonths on ARTNNRTI mutationsNRTI mutationsSubtype/CRFAccession
AN02112Y181VM41LM, M184V, T215FA3KR047796
AN02612A98S, Y181C, G190AM41L, A62V, M184V, K219NCRF02_AGKR047798
AN05212K103KNM184VCRF06_cpxKR047805
AN05812V106AA62AV, M184VCRF02_AGKR047807
AN05912K103NM41L, M184V, T215YCRF02_AGKR047808
AN07412K101E, G190AM184VCRF06_cpxKR047810
AT40712K101E, G190AM41L, D67N, K70R, V75IM, T215F, K219QURFKR047840
AT41112Y181C, G190AM184VURFKR047841
AT42312K103NM184VCRF06_cpxKR047843
AT42612V90I, K101EQ, Y181C, G190SK65RCRF02_AGKR047844
AT47712K103NM184IGKR047850
KA30512Y181CM41L, M184VCRF06_cpxKR047851
KA30812K103N, Y181C, H221YM184V, T215YCRF06_cpxKR047852
KA34812Y181CM184VCRF06_cpxKR047855
KA35012K101E, G190AM41L, M184VURFKR047856
KA37812Y181CM41L, M184V, L210W, T215YURFKR047858
KA37912K103N, Y181CM184ICRF02_AGKR047859
KP20612A98S, K103N, P225HM184VCKR047826
KP21812K101EK, G190AM184VCRF06_cpxKR047829
KP28012K103NM184VCRF02_AGKR047837
AN00824V179I, Y181CY, G190AGURFKR047793
AN01224K103NCRF02_AGKR047794
AN01924Y181C, H221YM41L, V75I, M184V, T215FCRF02_AGKR047795
AN02224Y181CM184VURFKR047797
AN02824A98S, Y181CD67N, K70R, T215F, K219ECRF02_AGKR047799
AN03224Y181CY, G190AG, H221HYURFKR047800
AN04124K103N, Y181CA62V, K65R, K70T, V75I, F116Y, Q151M, M184VCRF02_AGKR047801
AN04324K101E, Y181C, G190AM184V, T215FCRF02_AGKR047802
AN04824Y181CD67N, K70R, T215F, K219ECRF02_AGKR047803
AN04924K103NM184VCRF06_cpxKR047804
AN05424K103NM41L, E44D, L74I, M184V, L210W, T215YCRF02_AGKR047806
AN06824Y181C, H221YM41LM, M184V, T215YCRF02_AGKR047809
AT40024Y181CK70KR, M184VCRF02_AGKR047838
AT40324M184VA3KR047839
AT42024K103NM184VCRF02_AGKR047842
AT43524Y181C, H221YM41LM, D67DN, K70KR, T215Y, K219EKCRF02_AGKR047845
AT44224Y181CM184V, T215FISTCRF02_AGKR047846
AT45224Y181CM41L, M184V, T215YCRF02_AGKR047847
AT45624K101E, G190AM184V, T215FCRF02_AGKR047848
AT46324CRF02_AGKR047849
KA31924A98S, K103N, Y181CD67N, K70R, M184V, T215F, K219QURFKR047853
KA34424K101E, G190AM41L, D67DN, K70KR, M184V, T215YGKR047854
KA36624K101E, Y181C, G190AM41L, M184V, L210W, T215YURFKR047857
KO10024Y181CM41L, M184V, T215FCRF06_cpxKR047811
KO11224K103N, P225HK70DEKN, M184VCRF02_AGKR047812
KO11624K103NM184VURFKR047813
KO12224Y181C, H221YM41L, D67N, K70R, M184V, T215YGKR047814
KO13024K103N, E138 KM184V, T215FCRF02_AGKR047815
KO13724V179I, G190A, M230LM184V, T215YA3KR047816
KO14824K103NM184VCRF02_AGKR047817
KO15024K103N, Y181CM184VCRF02_AGKR047818
KO15824A98AG, K101E, Y181CD67N, K70R, M184V, T215F, K219EURFKR047819
KO19324K103NM184VCRF02_AGKR047820
KO19524Y181CYCRF02_AGKR047821
KO19724V90I, V179I, G190AM184VA3KR047822
KO20024E138EGURFKR047823
KO20324Y181C, H221YM184V, T215Y,CRF06_cpxKR047824
KP20224Y181C, H221YM184V, T215YCRF02_AGKR047825
KP21024G190SM184VCRF02_AGKR047827
KP21324K103NM184V, T215STCRF02_AGKR047828
KP22124A98AS, K103N, E138Q,M41L, V75I, M184 V, T215FURFKR047830
KP22324K103N, Y181C,H221YM41L, D67N, K70R, V75I, M184V, T215F, K219E,CRF02_AGKR047831
KP23424K103NM41L, M184VCRF06_cpxKR047832
KP23524V90IV, A98AG, E138Q, V179TM184VCRF02_AGKR047833
KP24124Y181V, H221YM41L, M184V, L210W, T215FCRF02_AGKR047834
KP24324K101E, G190AM41L, D67N, M184V, L210W, T215YURFKR047835
KP25324K103NM184VCRF02_AGKR047836
Drug resistance mutations to the first line antiretroviral drugs after 12 and 24 months on ART

Discussion

Overall, we showed that 18 % of patients on ART for 12 or 24 months in semi-rural and rural ART clinics were on virological failure and almost all of them (97 %) were infected with drug resistant HIV-1 strains. These observations are high and close to what has been noticed in previous studies from Lomé, the capital city; for example in a survey conducted about 1 year earlier in 2010/2011 using the same cross-sectional approach, 19 % (124/642) of patients for 12 or 24 months on ART were infected with HIV drug resistant strains [2]. Our study confirms thus a high ART failure in Togo in general and which is higher than observed in other countries, when comparing with studies that used a similar approach [2]. Scale-up of ART started in 2007 in the capital city and was expanded to semi-rural areas in 2008. Between 2006 and 2012, the number of patients on ART increased from 6700 to 31,500 but tools to monitor patients did not follow this scale-up and training of medical personnel was insufficient to allow early detection of side_effects of certain ARVs, evaluate adherence or recognize rapidely decline of clinical status. In addition, the national program encountered problems with stock management resulting in ARV drug substitution with the same molecules, administered separately as individual pills instead as a fixed dosed combination, or even interruption of the treatment. It is known that non-adherence and treatment interruption may favor emergence of drug resistance. Today, only very few studies reported observations on ART outcome from semi-rural or rural areas in resource limited settings, especially from Africa [2, 8, 9]. In Cameroon, 10 % of patients were infected with drug resistant HIV strains after a median of 12 months on ART in rural district hospitals at 50 to 150 km distance from Yaoundé, the capital city [10], which is close to rates observed in Yaoundé [2]. However, in a rural health center in Kolofata, at the extreme north of Cameroon at 1200 km from the capital city and with difficult connections, almost 30 % of patients on ART (median of 24 months) were resistant to ARV drugs [11]. Another report showed equal proportions of drug resistance in urban and rural areas, between 9.2 to 15.9 % after a median of 36 months on ART in Senegal, Mali and Guinea [12]. In rural and semi-rural settings in Gabon, 21 % of patients were resistant after a median of 33 months on ART [13]. In a rural clinic in Tanzania, rates of drug resistance were low and ranged from 4 to 8 % of patients after 1 or 2 years on ART, respectively [14]. Although, it is important to note that comparing results among the different studies mentioned above has to be taken with caution, because study design can differ as well as viral load capacities and techniques to identify virological failure. Overall it seems that treatment outcome varies among countries, but within countries treatment outcome in semi-rural settings seem to be similar to those in urban settings except in extreme conditions. These observations are in line with the fact that national ART-programme management plays a role in treatment outcome in resource-limited countries [2]. It is important to note that we provided only information on the proportion of drug resistance in HIV infected patients who are still on ART and have no information on follow-up or mortality rates. Prospective studies where loss of follow-up are considered as treatment failures, would probable yield higher virological failure rates. Previous studies showed a higher mortality rate and loss of follow up in rural areas during the first 3 years [15]. Like in other reports on treatment outcome, several patients in our survey accumulated high numbers of mutations and developed also cross-resistance to potential second and/or third line drugs [16-18]. In addition these multi-drug resistant strains can also be transmitted and have a negative impact on future efficiency of first line regimens.

Conclusions

The observations on ART treatment outcome in semi-rural areas show high failure rate but are close to those in Lomé, the capital city. Lowering the rates of drug resistance represents a challenge for the country. The first goals will be to identify factors associated with drug resistance.
  16 in total

1.  A retrospective survey of HIV drug resistance among patients 1 year after initiation of antiretroviral therapy at 4 clinics in Malawi.

Authors:  Nellie Wadonda-Kabondo; Bethany L Hedt; Joep J van Oosterhout; Kundai Moyo; Eddie Limbambala; George Bello; Ben Chilima; Erik Schouten; Anthony Harries; Moses Massaquoi; Carol Porter; Ralf Weigel; Mina Hosseinipour; John Aberle-Grasse; Michael R Jordan; Storn Kabuluzi; Diane E Bennett
Journal:  Clin Infect Dis       Date:  2012-05       Impact factor: 9.079

2.  Prediction of HIV drug resistance based on virologic, immunologic, clinical, and/or adherence criteria in the Stratall ANRS 12110/ESTHER trial in Cameroon.

Authors:  Charlotte Boullé; Charles Kouanfack; Gabrièle Laborde-Balen; Avelin Fobang Aghokeng; Sylvie Boyer; Maria Patrizia Carrieri; Serge Kazé; Jean-Marc Mben; Marlise Dontsop; Bruno Spire; Martine Peeters; Eitel Mpoudi-Ngolé; Eric Delaporte; Christian Laurent
Journal:  Clin Infect Dis       Date:  2013-05-10       Impact factor: 9.079

3.  The WHO public-health approach to antiretroviral treatment against HIV in resource-limited settings.

Authors:  Charles F Gilks; Siobhan Crowley; René Ekpini; Sandy Gove; Jos Perriens; Yves Souteyrand; Don Sutherland; Marco Vitoria; Teguest Guerma; Kevin De Cock
Journal:  Lancet       Date:  2006-08-05       Impact factor: 79.321

4.  High level of HIV-1 resistance in patients failing long-term first-line antiretroviral therapy in Mali.

Authors:  D B Fofana; C Soulié; A Baldé; S Lambert-Niclot; M Sylla; Z Ait-Arkoub; F Diallo; B Sangaré; M Cissé; I A Maïga; S Fourati; O Koita; V Calvez; A G Marcelin; A I Maïga
Journal:  J Antimicrob Chemother       Date:  2014-05-22       Impact factor: 5.790

5.  Drug susceptibility and resistance mutations after first-line failure in resource limited settings.

Authors:  Carole L Wallis; Evgenia Aga; Heather Ribaudo; Shanmugam Saravanan; Michael Norton; Wendy Stevens; Nagalingeswaran Kumarasamy; John Bartlett; David Katzenstein
Journal:  Clin Infect Dis       Date:  2014-05-01       Impact factor: 9.079

6.  Long-Term Outcome of an HIV-Treatment Programme in Rural Africa: Viral Suppression despite Early Mortality.

Authors:  Roos E Barth; Hugo A Tempelman; Robert Moraba; Andy I M Hoepelman
Journal:  AIDS Res Treat       Date:  2010-11-21

7.  Cohort profile: The PharmAccess African (PASER-M) and the TREAT Asia (TASER-M) monitoring studies to evaluate resistance--HIV drug resistance in sub-Saharan Africa and the Asia-Pacific.

Authors:  Raph L Hamers; Rebecca Oyomopito; Cissy Kityo; Praphan Phanuphak; Margaret Siwale; Somnuek Sungkanuparph; Francesca Conradie; Nagalingeswaran Kumarasamy; Mariette E Botes; Thira Sirisanthana; Saade Abdallah; Patrick C K Li; Nicoletta Ngorima; Pacharee Kantipong; Akin Osibogun; Christopher K C Lee; Wendy S Stevens; Adeeba Kamarulzaman; Inge Derdelinckx; Yi-Ming Arthur Chen; Rob Schuurman; Michèle van Vugt; Tobias F Rinke de Wit
Journal:  Int J Epidemiol       Date:  2010-11-10       Impact factor: 7.196

8.  Low primary and secondary HIV drug-resistance after 12 months of antiretroviral therapy in human immune-deficiency virus type 1 (HIV-1)-infected individuals from Kigali, Rwanda.

Authors:  John Rusine; Brenda Asiimwe-Kateera; Janneke van de Wijgert; Kimberly Rachel Boer; Enatha Mukantwali; Etienne Karita; Agnes Gasengayire; Suzanne Jurriaans; Menno de Jong; Pascale Ondoa
Journal:  PLoS One       Date:  2013-08-12       Impact factor: 3.240

9.  Antiretroviral treatment outcome in HIV-1-infected patients routinely followed up in capital cities and remote areas of Senegal, Mali and Guinea-Conakry.

Authors:  Abou Abdallah Malick Diouara; Halimatou Diop Ndiaye; Ibrehima Guindo; Nestor Bangoura; Mohamed Cissé; Tchiakpe Edmond; Flabou Bougoudogo; Souleymame Mboup; Martine Peeters; Ahidjo Ayouba; Ndèye Coumba Touré Kane
Journal:  J Int AIDS Soc       Date:  2014-12-18       Impact factor: 5.396

10.  Virological efficacy and emergence of drug resistance in adults on antiretroviral treatment in rural Tanzania.

Authors:  Asgeir Johannessen; Ezra Naman; Sokoine L Kivuyo; Mabula J Kasubi; Mona Holberg-Petersen; Mecky I Matee; Svein G Gundersen; Johan N Bruun
Journal:  BMC Infect Dis       Date:  2009-07-07       Impact factor: 3.090

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1.  Virologic Failure and Human Immunodeficiency Virus Drug Resistance in Rural Cameroon With Regard to the UNAIDS 90-90-90 Treatment Targets.

Authors:  Charlotte Boullé; Emilande Guichet; Charles Kouanfack; Avelin Aghokeng; Benjamin Onambany; Catherine Massama Ikaka; Emile Ngock; Landry Tsoumsta; Philippe Msellati; Eitel Mpoudi-Ngolé; Martine Peeters; Eric Delaporte; Christian Laurent
Journal:  Open Forum Infect Dis       Date:  2016-12-20       Impact factor: 3.835

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