Improved Prediction of Salvage Antiretroviral Therapy Outcomes Using Ultrasensitive HIV-1 Drug Resistance Testing
Background. The clinical relevance of ultrasensitive human immunodeficiency virus type 1 (HIV-1) genotypic resistance testing in antiretroviral treatment (ART)-experienced individuals remains unknown. Methods. This was a retrospective, multicentre, cohort study in ART-experienced, HIV-1-infected adu...
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Published in | Clinical infectious diseases Vol. 59; no. 4; pp. 578 - 588 |
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Main Authors | , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Oxford
OXFORD UNIVERSITY PRESS
15.08.2014
Oxford University Press |
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Abstract | Background. The clinical relevance of ultrasensitive human immunodeficiency virus type 1 (HIV-1) genotypic resistance testing in antiretroviral treatment (ART)-experienced individuals remains unknown. Methods. This was a retrospective, multicentre, cohort study in ART-experienced, HIV-1-infected adults who initiated salvage ART including, at least 1 ritonavir-boosted protease inhibitor, raltegravir or etravirine. Presalvage ART Sanger and 454 sequencing of plasma HIV-1 were used to generate separate genotypic sensitivity scores (GSS) using the HIV db, ANRS, and REGA algorithms. Virological failure (VF) was defined as 2 consecutive HIV-1 RNA levels ≥200 copies/mL at least 12 weeks after salvage ART initiation, whereas subjects remained on the same ART. The ability of Sanger and 454-GSS to predict VF was assessed by receiver operating characteristic (ROC) curves and survival analyses. Results. The study included 132 evaluable subjects; 28 (21%) developed VF. Using HIVdb, 454 predicted VF better than Sanger sequencing in the ROC curve analysis (area under the curve: 0.69 vs 0.60, Delong test P = .029). Time to VF was shorter for subjects with 454-GSS < 3 vs 454-GSS ≥ 3 (Log-rank P = .003) but not significantly different between Sanger-GSS < 3 and ≥3. Factors independently associated with increased risk of VF in multivariate Cox regression were a 454-GSS < 3 (HR = 4.6, 95 CI, [1.5, 14.0], P = .007), and the number of previous antiretrovirals received (HR = 1.2 per additional drug, 95 CI, [1.1, 1.3], P= .001). Equivalent findings were obtained with the ANRS and REGA algorithms. Conclusions. Ultrasensitive HIV-1 genotyping improves GSS-based predictions of virological outcomes of salvage ART relative to Sanger sequencing. This may improve the clinical management of ART-experienced subjects living with HIV-1. Clinical Trials Registration. NCT01346878. |
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AbstractList | The clinical relevance of ultrasensitive human immunodeficiency virus type 1 (HIV-1) genotypic resistance testing in antiretroviral treatment (ART)-experienced individuals remains unknown. Methods. This was a retrospective, multicentre, cohort study in ARTexperienced, HIV-1-infected adults who initiated salvage ART including, at least 1 ritonavir-boosted protease inhibitor, raltegravir or etravirine. Presalvage ART Sanger and 454 sequencing of plasma HIV-1 were used to generate separate genotypic sensitivity scores (GSS) using the HIVdb, ANRS, and REGA algorithms. Virological failure (VF) was defined as 2 consecutive HIV-1 RNA levels ≥ 200 copies/mL at least 12 weeks after salvage ART initiation, whereas subjects remained on the same ART. The ability of Sanger and 454-GSS to predict VF was assessed by receiver operating characteristic (ROC) curves and survival analyses. Results. The study included 132 evaluable subjects; 28 (21%) developed VF. Using HIVdb, 454 predicted VF better than Sanger sequencing in the ROC curve analysis (area under the curve: 0.69 vs 0.60, Delong test P = .029). Time to VF was shorter for subjects with 454-GSS < 3 vs 454-GSS ≥ 3 (Log-rank P = .003) but not significantly different between Sanger- GSS < 3 and ≥3. Factors independently associated with increased risk of VF in multivariate Cox regression were a 454-GSS < 3 (HR = 4.6, 95 CI, [1.5, 14.0], P = .007), and the number of previous antiretrovirals received (HR = 1.2 per additional drug, 95 CI, [1.1, 1.3], P = .001). Equivalent findings were obtained with the ANRS and REGA algorithms. Conclusions. Ultrasensitive HIV-1 genotyping improves GSS-based predictions of virological outcomes of salvage ART relative to Sanger sequencing. This may improve the clinical management of ARTexperienced subjects living with HIV-1. The clinical relevance of ultrasensitive human immunodeficiency virus type 1 (HIV-1) genotypic resistance testing in antiretroviral treatment (ART)-experienced individuals remains unknown.BACKGROUNDThe clinical relevance of ultrasensitive human immunodeficiency virus type 1 (HIV-1) genotypic resistance testing in antiretroviral treatment (ART)-experienced individuals remains unknown.This was a retrospective, multicentre, cohort study in ART-experienced, HIV-1-infected adults who initiated salvage ART including, at least 1 ritonavir-boosted protease inhibitor, raltegravir or etravirine. Presalvage ART Sanger and 454 sequencing of plasma HIV-1 were used to generate separate genotypic sensitivity scores (GSS) using the HIVdb, ANRS, and REGA algorithms. Virological failure (VF) was defined as 2 consecutive HIV-1 RNA levels ≥200 copies/mL at least 12 weeks after salvage ART initiation, whereas subjects remained on the same ART. The ability of Sanger and 454-GSS to predict VF was assessed by receiver operating characteristic (ROC) curves and survival analyses.METHODSThis was a retrospective, multicentre, cohort study in ART-experienced, HIV-1-infected adults who initiated salvage ART including, at least 1 ritonavir-boosted protease inhibitor, raltegravir or etravirine. Presalvage ART Sanger and 454 sequencing of plasma HIV-1 were used to generate separate genotypic sensitivity scores (GSS) using the HIVdb, ANRS, and REGA algorithms. Virological failure (VF) was defined as 2 consecutive HIV-1 RNA levels ≥200 copies/mL at least 12 weeks after salvage ART initiation, whereas subjects remained on the same ART. The ability of Sanger and 454-GSS to predict VF was assessed by receiver operating characteristic (ROC) curves and survival analyses.The study included 132 evaluable subjects; 28 (21%) developed VF. Using HIVdb, 454 predicted VF better than Sanger sequencing in the ROC curve analysis (area under the curve: 0.69 vs 0.60, Delong test P = .029). Time to VF was shorter for subjects with 454-GSS < 3 vs 454-GSS ≥ 3 (Log-rank P = .003) but not significantly different between Sanger-GSS < 3 and ≥3. Factors independently associated with increased risk of VF in multivariate Cox regression were a 454-GSS < 3 (HR = 4.6, 95 CI, [1.5, 14.0], P = .007), and the number of previous antiretrovirals received (HR = 1.2 per additional drug, 95 CI, [1.1, 1.3], P = .001). Equivalent findings were obtained with the ANRS and REGA algorithms.RESULTSThe study included 132 evaluable subjects; 28 (21%) developed VF. Using HIVdb, 454 predicted VF better than Sanger sequencing in the ROC curve analysis (area under the curve: 0.69 vs 0.60, Delong test P = .029). Time to VF was shorter for subjects with 454-GSS < 3 vs 454-GSS ≥ 3 (Log-rank P = .003) but not significantly different between Sanger-GSS < 3 and ≥3. Factors independently associated with increased risk of VF in multivariate Cox regression were a 454-GSS < 3 (HR = 4.6, 95 CI, [1.5, 14.0], P = .007), and the number of previous antiretrovirals received (HR = 1.2 per additional drug, 95 CI, [1.1, 1.3], P = .001). Equivalent findings were obtained with the ANRS and REGA algorithms.Ultrasensitive HIV-1 genotyping improves GSS-based predictions of virological outcomes of salvage ART relative to Sanger sequencing. This may improve the clinical management of ART-experienced subjects living with HIV-1.CONCLUSIONSUltrasensitive HIV-1 genotyping improves GSS-based predictions of virological outcomes of salvage ART relative to Sanger sequencing. This may improve the clinical management of ART-experienced subjects living with HIV-1.NCT01346878.CLINICAL TRIALS REGISTRATIONNCT01346878. The clinical relevance of ultrasensitive human immunodeficiency virus type 1 (HIV-1) genotypic resistance testing in antiretroviral treatment (ART)-experienced individuals remains unknown. This was a retrospective, multicentre, cohort study in ART-experienced, HIV-1-infected adults who initiated salvage ART including, at least 1 ritonavir-boosted protease inhibitor, raltegravir or etravirine. Presalvage ART Sanger and 454 sequencing of plasma HIV-1 were used to generate separate genotypic sensitivity scores (GSS) using the HIVdb, ANRS, and REGA algorithms. Virological failure (VF) was defined as 2 consecutive HIV-1 RNA levels ≥200 copies/mL at least 12 weeks after salvage ART initiation, whereas subjects remained on the same ART. The ability of Sanger and 454-GSS to predict VF was assessed by receiver operating characteristic (ROC) curves and survival analyses. The study included 132 evaluable subjects; 28 (21%) developed VF. Using HIVdb, 454 predicted VF better than Sanger sequencing in the ROC curve analysis (area under the curve: 0.69 vs 0.60, Delong test P = .029). Time to VF was shorter for subjects with 454-GSS < 3 vs 454-GSS ≥ 3 (Log-rank P = .003) but not significantly different between Sanger-GSS < 3 and ≥3. Factors independently associated with increased risk of VF in multivariate Cox regression were a 454-GSS < 3 (HR = 4.6, 95 CI, [1.5, 14.0], P = .007), and the number of previous antiretrovirals received (HR = 1.2 per additional drug, 95 CI, [1.1, 1.3], P = .001). Equivalent findings were obtained with the ANRS and REGA algorithms. Ultrasensitive HIV-1 genotyping improves GSS-based predictions of virological outcomes of salvage ART relative to Sanger sequencing. This may improve the clinical management of ART-experienced subjects living with HIV-1. NCT01346878. Background. The clinical relevance of ultrasensitive human immunodeficiency virus type 1 (HIV-1) genotypic resistance testing in antiretroviral treatment (ART)-experienced individuals remains unknown. Methods. This was a retrospective, multicentre, cohort study in ART-experienced, HIV-1-infected adults who initiated salvage ART including, at least 1 ritonavir-boosted protease inhibitor, raltegravir or etravirine. Presalvage ART Sanger and 454 sequencing of plasma HIV-1 were used to generate separate genotypic sensitivity scores (GSS) using the HIV db, ANRS, and REGA algorithms. Virological failure (VF) was defined as 2 consecutive HIV-1 RNA levels ≥200 copies/mL at least 12 weeks after salvage ART initiation, whereas subjects remained on the same ART. The ability of Sanger and 454-GSS to predict VF was assessed by receiver operating characteristic (ROC) curves and survival analyses. Results. The study included 132 evaluable subjects; 28 (21%) developed VF. Using HIVdb, 454 predicted VF better than Sanger sequencing in the ROC curve analysis (area under the curve: 0.69 vs 0.60, Delong test P = .029). Time to VF was shorter for subjects with 454-GSS < 3 vs 454-GSS ≥ 3 (Log-rank P = .003) but not significantly different between Sanger-GSS < 3 and ≥3. Factors independently associated with increased risk of VF in multivariate Cox regression were a 454-GSS < 3 (HR = 4.6, 95 CI, [1.5, 14.0], P = .007), and the number of previous antiretrovirals received (HR = 1.2 per additional drug, 95 CI, [1.1, 1.3], P= .001). Equivalent findings were obtained with the ANRS and REGA algorithms. Conclusions. Ultrasensitive HIV-1 genotyping improves GSS-based predictions of virological outcomes of salvage ART relative to Sanger sequencing. This may improve the clinical management of ART-experienced subjects living with HIV-1. Clinical Trials Registration. NCT01346878. |
Author | Dalmau, David Álvarez-Tejado, Miguel Ibáñez, Laura Pou, Christian Pérez-Álvarez, Susana Delgado, Rafael Rodríguez, Cristina Santos, José R. Clotet, Bonaventura Pulido, Federico Paredes, Roger Chueca, Natalia García, Federico Noguera-Julian, Marc Gonzalez, Dimitri Sayada, Chalom Ruiz, Lidia Casadellà, Maria |
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Cites_doi | 10.1093/cid/cir493 10.2307/2531595 10.1097/QAD.0b013e32835cae9c 10.1056/NEJMoa1105243 10.1016/S1473-3099(09)70136-7 10.1093/infdis/jis925 10.1371/journal.pone.0006079 10.1016/S1473-3099(11)70141-4 10.1097/QAI.0b013e3181bca669 10.1093/infdis/jis261 10.1086/652148 10.1073/pnas.1105688108 10.1371/journal.pone.0019461 10.1093/infdis/jiq030 10.1056/NEJMoa062876 10.1086/496984 10.1097/COH.0b013e328356e9da 10.1097/QAD.0b013e3283428cbe 10.1016/S1473-3099(11)70248-1 10.1371/journal.pone.0049602 10.1101/gr.6468307 10.1093/cid/cit125 10.1001/jama.2011.375 10.1111/j.1468-1293.2007.00491.x 10.1086/596486 10.1093/infdis/jit110 10.7326/0003-4819-156-11-201206050-00419 10.1097/QAD.0b013e32834e9d7d |
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Keywords | Immunopathology Antiretroviral agent Treatment resistance Prognosis HIV-1 virus Retroviridae AIDS Immune deficiency Lentivirus Infection Virus Chemotherapy Treatment Viral disease Antiviral Human immunodeficiency virus Salvage treatment Predictive factor HIV-1 genotypic susceptibility score antiretroviral drug resistance salvage antiretroviral therapy deep sequencing |
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References | ( key 20170522143822_CIU287C31) 2012; 7 ( key 20170522143822_CIU287C28) 2012; 26 World Health Organization ( key 20170522143822_CIU287C9) 2012 ( key 20170522143822_CIU287C20) 2011; 108 ( key 20170522143822_CIU287C30) 2009; 4 ( key 20170522143822_CIU287C19) 2007; 356 ( key 20170522143822_CIU287C18) 2010; 50 ( key 20170522143822_CIU287C33) 2007; 17 ( key 20170522143822_CIU287C7) 2013; 21 ( key 20170522143822_CIU287C11) 2012; 205 ( key 20170522143822_CIU287C24) 2011; 53 ( key 20170522143822_CIU287C17) 2011; 305 ( key 20170522143822_CIU287C25) 2012; 7 ( key 20170522143822_CIU287C26) 2009; 5 DHHS ( key 20170522143822_CIU287C3) 2013 ( key 20170522143822_CIU287C29) 2011; 6 ( key 20170522143822_CIU287C23) 2011; 203 ( key 20170522143822_CIU287C22) 2011; 25 PLATO I project, COHERE ( key 20170522143822_CIU287C14) 2012; 12 ( key 20170522143822_CIU287C15) 2010; 201 ( key 20170522143822_CIU287C8) 2009; 9 ( key 20170522143822_CIU287C4) 2013; 27 ( key 20170522143822_CIU287C6) 2012; 156 ( key 20170522143822_CIU287C13) 2013; 56 ( key 20170522143822_CIU287C21) 2009; 48 ( key 20170522143822_CIU287C32) 2009; 52 ( key 20170522143822_CIU287C10) 2011; 11 ( key 20170522143822_CIU287C5) 2011; 365 ( key 20170522143822_CIU287C12) 2013; 207 ( key 20170522143822_CIU287C27) 1988; 44 ( key 20170522143822_CIU287C2) 2007; 8 ( key 20170522143822_CIU287C16) 2013; 207 ( key 20170522143822_CIU287C1) 2005; 41 |
References_xml | – volume: 53 start-page: 732 year: 2011 ident: key 20170522143822_CIU287C24 article-title: Deep third variable sequencing for HIV type 1 tropism in treatment-naive patients: a reanalysis of the MERIT trial of maraviroc publication-title: Clin Infect Dis doi: 10.1093/cid/cir493 – volume: 44 start-page: 837 year: 1988 ident: key 20170522143822_CIU287C27 article-title: Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach publication-title: Biometrics doi: 10.2307/2531595 – volume: 27 start-page: 973 year: 2013 ident: key 20170522143822_CIU287C4 article-title: Mortality in well controlled HIV in the continuous antiretroviral therapy arms of the SMART and ESPRIT trials compared with the general population publication-title: AIDS doi: 10.1097/QAD.0b013e32835cae9c – volume: 365 start-page: 493 year: 2011 ident: key 20170522143822_CIU287C5 article-title: Prevention of HIV-1 infection with early antiretroviral therapy publication-title: N Engl J Med doi: 10.1056/NEJMoa1105243 – volume: 9 start-page: 409 year: 2009 ident: key 20170522143822_CIU287C8 article-title: Virological monitoring and resistance to first-line highly active antiretroviral therapy in adults infected with HIV-1 treated under WHO guidelines: a systematic review and meta-analysis publication-title: Lancet Infect Dis doi: 10.1016/S1473-3099(09)70136-7 – volume: 207 start-page: 893 year: 2013 ident: key 20170522143822_CIU287C16 article-title: Impact of minority nonnucleoside reverse transcriptase inhibitor resistance mutations on resistance genotype after virologic failure publication-title: J Infect Dis doi: 10.1093/infdis/jis925 – volume: 4 start-page: e6079 year: 2009 ident: key 20170522143822_CIU287C30 article-title: Low-abundance HIV drug-resistant viral variants in treatment-experienced persons correlate with historical antiretroviral use publication-title: PLoS One doi: 10.1371/journal.pone.0006079 – volume: 11 start-page: 769 year: 2011 ident: key 20170522143822_CIU287C10 article-title: HIV-1-resistance-associated mutations after failure of first-line antiretroviral treatment among children in resource-poor regions: a systematic review publication-title: Lancet Infect Dis doi: 10.1016/S1473-3099(11)70141-4 – volume: 5 start-page: e10952 year: 2009 ident: key 20170522143822_CIU287C26 article-title: Prevalence and clinical significance of HIV drug resistance mutations by ultra-deep sequencing in antiretroviral-naïve subjects in the CASTLE study publication-title: PLoS One – volume: 52 start-page: 309 year: 2009 ident: key 20170522143822_CIU287C32 article-title: Minority variants associated with transmitted and acquired HIV-1 nonnucleoside reverse transcriptase inhibitor resistance: implications for the use of second-generation nonnucleoside reverse transcriptase inhibitors publication-title: J Acquir Immune Defic Syndr doi: 10.1097/QAI.0b013e3181bca669 – volume: 205 start-page: 1739 year: 2012 ident: key 20170522143822_CIU287C11 article-title: Second-line antiretroviral treatment successfully resuppresses drug-resistant HIV-1 after first-line failure: prospective cohort in sub-Saharan Africa publication-title: J Infect Dis doi: 10.1093/infdis/jis261 – volume: 50 start-page: 1397 year: 2010 ident: key 20170522143822_CIU287C18 article-title: Association between detection of HIV-1 DNA resistance mutations by a sensitive assay at initiation of antiretroviral therapy and virologic failure publication-title: Clin Infect Dis doi: 10.1086/652148 – volume: 108 start-page: 9202 year: 2011 ident: key 20170522143822_CIU287C20 article-title: Role of low-frequency HIV-1 variants in failure of nevirapine-containing antiviral therapy in women previously exposed to single-dose nevirapine publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1105688108 – volume: 6 start-page: e19461 year: 2011 ident: key 20170522143822_CIU287C29 article-title: Added value of deep sequencing relative to population sequencing in heavily pre-treated HIV-1-infected subjects publication-title: PLoS One doi: 10.1371/journal.pone.0019461 – volume: 203 start-page: 237 year: 2011 ident: key 20170522143822_CIU287C23 article-title: Deep sequencing to infer HIV-1 co-receptor usage: application to three clinical trials of maraviroc in treatment-experienced patients publication-title: J Infect Dis doi: 10.1093/infdis/jiq030 – volume: 356 start-page: 135 year: 2007 ident: key 20170522143822_CIU287C19 article-title: Response to antiretroviral therapy after a single, peripartum dose of nevirapine publication-title: N Engl J Med doi: 10.1056/NEJMoa062876 – volume: 41 start-page: 1316 year: 2005 ident: key 20170522143822_CIU287C1 article-title: Should resistance testing be performed for treatment-naive HIV-infected patients? A cost-effectiveness analysis publication-title: Clin Infect Dis doi: 10.1086/496984 – volume: 21 start-page: 6 year: 2013 ident: key 20170522143822_CIU287C7 article-title: Update of the drug resistance mutations in HIV-1: March 2013 publication-title: Top Antivir Med – volume: 7 start-page: 478 year: 2012 ident: key 20170522143822_CIU287C25 article-title: Next-generation sequencing to assess HIV tropism publication-title: Curr Opin HIV AIDS doi: 10.1097/COH.0b013e328356e9da – year: 2012 ident: key 20170522143822_CIU287C9 article-title: HIV drug resistance report 2012 – volume: 25 start-page: 479 year: 2011 ident: key 20170522143822_CIU287C22 article-title: First-line antiretroviral therapy after single-dose nevirapine exposure in South Africa: a cost-effectiveness analysis of the OCTANE trial publication-title: AIDS doi: 10.1097/QAD.0b013e3283428cbe – volume: 12 start-page: 119 year: 2012 ident: key 20170522143822_CIU287C14 article-title: Trends in virological and clinical outcomes in individuals with HIV-1 infection and virological failure of drugs from three antiretroviral drug classes: a cohort study publication-title: Lancet Infect Dis doi: 10.1016/S1473-3099(11)70248-1 – volume: 7 start-page: e49602 year: 2012 ident: key 20170522143822_CIU287C31 article-title: Use of four next-generation sequencing platforms to determine HIV-1 coreceptor tropism publication-title: PLoS One doi: 10.1371/journal.pone.0049602 – volume: 17 start-page: 1195 year: 2007 ident: key 20170522143822_CIU287C33 article-title: Characterization of mutation spectra with ultra-deep pyrosequencing: application to HIV-1 drug resistance publication-title: Genome Res. doi: 10.1101/gr.6468307 – volume: 56 start-page: 1667 year: 2013 ident: key 20170522143822_CIU287C13 article-title: Clinical implications of HIV-1 minority variants publication-title: Clin Infect Dis doi: 10.1093/cid/cit125 – volume: 305 start-page: 1327 year: 2011 ident: key 20170522143822_CIU287C17 article-title: Low-frequency HIV-1 drug resistance mutations and risk of NNRTI-based antiretroviral treatment failure: a systematic review and pooled analysis publication-title: JAMA doi: 10.1001/jama.2011.375 – volume: 8 start-page: 439 year: 2007 ident: key 20170522143822_CIU287C2 article-title: The long-term benefits of genotypic resistance testing in patients with extensive prior antiretroviral therapy: a model-based approach publication-title: HIV Med doi: 10.1111/j.1468-1293.2007.00491.x – volume: 48 start-page: 462 year: 2009 ident: key 20170522143822_CIU287C21 article-title: Persistent minority K103N mutations among women exposed to single-dose nevirapine and virologic response to nonnucleoside reverse-transcriptase inhibitor-based therapy publication-title: Clin Infect Dis doi: 10.1086/596486 – volume: 201 start-page: 662 year: 2010 ident: key 20170522143822_CIU287C15 article-title: Pre-existing minority drug-resistant HIV-1 variants, adherence, and risk of antiretroviral treatment failure publication-title: J Infect Dis – volume: 207 start-page: S93 year: 2013 ident: key 20170522143822_CIU287C12 article-title: Impact of antiretroviral drugs in pregnant women and their children in Africa: HIV resistance and treatment outcomes publication-title: J Infect Dis doi: 10.1093/infdis/jit110 – volume: 156 start-page: 817 year: 2012 ident: key 20170522143822_CIU287C6 article-title: Guidelines for improving entry into and retention in care and antiretroviral adherence for persons with HIV: evidence-based recommendations from an international association of physicians in AIDS care panel publication-title: Ann Intern Med doi: 10.7326/0003-4819-156-11-201206050-00419 – year: 2013 ident: key 20170522143822_CIU287C3 article-title: Guidelines for the use of antiretroviral agents in HIV-infected adults and adolescents – volume: 26 start-page: 185 year: 2012 ident: key 20170522143822_CIU287C28 article-title: Relationship between Minority NNRTI resistance mutations, adherence, and the risk of virologic failure publication-title: AIDS doi: 10.1097/QAD.0b013e32834e9d7d |
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Snippet | Background. The clinical relevance of ultrasensitive human immunodeficiency virus type 1 (HIV-1) genotypic resistance testing in antiretroviral treatment... The clinical relevance of ultrasensitive human immunodeficiency virus type 1 (HIV-1) genotypic resistance testing in antiretroviral treatment (ART)-experienced... |
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SubjectTerms | Adult AIDS Anti-Retroviral Agents - therapeutic use Antibiotics. Antiinfectious agents. Antiparasitic agents Antiretroviral drugs Antiretroviral Therapy, Highly Active - methods Antiretrovirals Antiviral agents Antivirals Biological and medical sciences Cohort Studies Drug resistance Drug Resistance, Viral Female Genotype & phenotype Genotyping Techniques - methods HIV HIV 1 HIV Infections - diagnosis HIV Infections - drug therapy HIV Infections - virology HIV-1 - drug effects HIV/AIDS Human immunodeficiency virus Human viral diseases Humans Immunodeficiencies Immunodeficiencies. Immunoglobulinopathies Immunopathology Infectious diseases Male Medical sciences Microbial Sensitivity Tests - methods Middle Aged Pharmacology. Drug treatments Prognosis Retrospective Studies RNA Salvage Therapy - methods Sequencing T lymphocytes Treatment Failure Viral diseases Viral diseases of the lymphoid tissue and the blood. Aids Virology |
Title | Improved Prediction of Salvage Antiretroviral Therapy Outcomes Using Ultrasensitive HIV-1 Drug Resistance Testing |
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