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Figure. 
Incidence with 95% confidence intervals (vertical brackets) of triple-class virologic failure (TCVF) during each year after the start of antiretroviral therapy.

Incidence with 95% confidence intervals (vertical brackets) of triple-class virologic failure (TCVF) during each year after the start of antiretroviral therapy.

Table 1. 
Patient Characteristics at the Time of Starting ART
Patient Characteristics at the Time of Starting ART
Table 2. 
Selected Findings of Statistical Analysis for Risk of TCVF
Selected Findings of Statistical Analysis for Risk of TCVF
Table 3. 
Patient Characteristics at the Time of Starting a PI/r Regimen as Second-Line Antiretroviral Therapya
Patient Characteristics at the Time of Starting a PI/r Regimen as Second-Line Antiretroviral Therapya
Table 4. 
Selected Findings of Statistical Analysis for Risk of TCVF for Patients Who Started a PI/r Regimen as Second-Line Antiretroviral Therapy
Selected Findings of Statistical Analysis for Risk of TCVF for Patients Who Started a PI/r Regimen as Second-Line Antiretroviral Therapy
1.
Bhaskaran  KHamouda  OSannes  M  et al. CASCADE Collaboration, Changes in the risk of death after HIV seroconversion compared with mortality in the general population.  JAMA 2008;300 (1) 51- 59PubMedGoogle ScholarCrossref
2.
Lewden  CChene  GMorlat  P  et al. Agence Nationale de Recherches sur le Sida et les Hepatites Virales (ANRS) CO8 APROCO-COPILOTE Study Group; Agence Nationale de Recherches sur le Sida et les Hepatites Virales (ANRS) CO3 AQUITAINE Study Group, HIV-infected adults with a CD4 cell count greater than 500 cells/mm(3) on long-term combination antiretroviral therapy reach same mortality rates as the general population.  J Acquir Immune Defic Syndr 2007;46 (1) 72- 77PubMedGoogle ScholarCrossref
3.
Lohse  NObel  NKronborg  G  et al.  Declining risk of triple-class antiretroviral drug failure in Danish HIV-infected individuals.  AIDS 2005;19 (8) 815- 822PubMedGoogle ScholarCrossref
4.
Phillips  ANLeen  CWilson  A  et al. UK Collaborative HIV Cohort (CHIC) Study, Risk of extensive virological failure to the three original antiretroviral drug classes over long-term follow-up from the start of therapy in patients with HIV infection: an observational cohort study.  Lancet 2007;370 (9603) 1923- 1928PubMedGoogle ScholarCrossref
5.
Mocroft  ALedergerber  BViard  JP  et al. EuroSIDA Study Group, Time to virological failure of 3 classes of antiretrovirals after initiation of highly active antiretroviral therapy: results from the EuroSIDA Study Group.  J Infect Dis 2004;190 (11) 1947- 1956PubMedGoogle ScholarCrossref
6.
Sabin  CAHill  TLampe  F  et al. UK Collaborative HIV Cohort (UK CHIC) Study Group, Treatment exhaustion of highly active antiretroviral therapy (HAART) among individuals infected with HIV in the United Kingdom: multicentre cohort study.  BMJ 2005;330 (7493) 695- 698PubMedGoogle ScholarCrossref
7.
Zaccarelli  MTozzi  VLorenzini  P  et al. Collaborative Group for Clinical Use of HIV Genotype Resistance Test (GRT) at National Institute for Infectious Diseases Lazzaro Spallanzani, Multiple drug class-wide resistance associated with poorer survival after treatment failure in a cohort of HIV-infected patients.  AIDS 2005;19 (10) 1081- 1089PubMedGoogle ScholarCrossref
8.
Tozzi  VZaccarelli  MBonfigli  S  et al. Collaborative Group for Clinical Use of HIV Genotype Resistance Test, Drug-class-wide resistance to antiretrovirals in HIV-infected patients failing therapy: prevalence, risk factors and virological outcome.  Antivir Ther 2006;11 (5) 553- 560PubMedGoogle Scholar
9.
Napravnik  SKeys  JRQuinlivan  EBWohl  DAMikeal  OVEron  JJ  Jr Triple-class antiretroviral drug resistance: risk and predictors among HIV-1-infected patients.  AIDS 2007;21 (7) 825- 834PubMedGoogle ScholarCrossref
10.
Mocroft  AHorban  AClotet  B  et al. EuroSIDA Study Group, Regional differences in the risk of triple class failure in European patients starting combination antiretroviral therapy after 1 January 1999.  HIV Med 2008;9 (1) 41- 46PubMedGoogle ScholarCrossref
11.
Ledergerber  BLundgren  JDWalker  AS  et al. PLATO Collaboration, Predictors of trend in CD4-positive T-cell count and mortality among HIV-1-infected individuals with virological failure to all three antiretroviral-drug classes.  Lancet 2004;364 (9428) 51- 62PubMedGoogle ScholarCrossref
12.
Costagliola  DPotard  VDuvivier  C  et al. French Hospital Database on HIV, Impact of newly available drugs on clinical progression in patients with virological failure after exposure to three classes of antiretrovirals.  Antivir Ther 2005;10 (4) 563- 573PubMedGoogle Scholar
13.
Hammer  SMEron  JJ  JrReiss  P  et al. International AIDS Society-USA, Antiretroviral treatment of adult HIV infection: 2008 recommendations of the International AIDS Society USA panel.  JAMA 2008;300 (5) 555- 570PubMedGoogle ScholarCrossref
14.
DHHS Panel on Antiretroviral Guidelines for Adults and Adolescents—A Working Group of the Office of AIDS Research Advisory Council (OARAC), Guidelines for the use of antiretroviral agents in HIV-1-infected adults and adolescents. http://www.aidsinfo.nih.gov/ContentFiles/AdultandAdolescentGL.pdf. Accessed December 15, 2008
15.
Gazzard  BGBHIVA Treatment Guidelines Writing Group, British HIV Association guidelines for the treatment of HIV-1-infected adults with antiretroviral therapy 2008.  HIV Med 2008;9 (8) 563- 608PubMedGoogle ScholarCrossref
16.
Clumeck  NPozniak  ARaffi  FEACS Executive Committee, European AIDS Clinical Society (EACS) guidelines for the clinical management and treatment of HIV-infected adults.  HIV Med 2008;9 (2) 65- 71PubMedGoogle ScholarCrossref
17.
Riddler  SAHaubrich  RDiRienzo  AG  et al. AIDS Clinical Trials Group Study A5142 Team, Class-sparing regimens for initial treatment of HIV-1 infection.  N Engl J Med 2008;358 (20) 2095- 2106PubMedGoogle ScholarCrossref
18.
World Health Organization, HIV/AIDS Department, Priority interventions: HIV/AIDS prevention, treatment and care in the health sector: Version 1.2: April 2009. http://www.who.int/hiv/pub/priority_interventions_web.pdf. Accessed August 31, 2009
19.
Collaboration of Observational HIV Epidemiological Research Europe (COHERE) Study Group, Response to combination antiretroviral therapy: variation by age.  AIDS 2008;22 (12) 1463- 1473PubMedGoogle ScholarCrossref
20.
Kjaer  JLedergerber  B HIV cohort collaborations: proposal for harmonization of data exchange.  Antivir Ther 2004;9 (4) 631- 633PubMedGoogle Scholar
21.
Fagard  CDescamps  DDubar  V  et al.  Efficacy and safety of raltegravir plus etravirine and darunavir/ritonavir in treatment-experienced patients with multidrug-resistant virus: 48-week results from the ANRS 139 TRIO trial.  Presented at: the 5th IAS Conference on HIV Pathogenesis, Treatment and Prevention; July 19-22, 2009; Cape Town, South Africa
22.
Lazzarin  AClotet  BCooper  D  et al. TORO 2 Study Group, Efficacy of enfuvirtide in patients infected with drug-resistant HIV-1 in Europe and Australia.  N Engl J Med 2003;348 (22) 2186- 2195PubMedGoogle ScholarCrossref
23.
Steigbigel  RTCooper  DAKumar  PN  et al. BENCHMRK Study Teams, Raltegravir with optimized background therapy for resistant HIV-1 infection.  N Engl J Med 2008;359 (4) 339- 354PubMedGoogle ScholarCrossref
24.
Gulick  RMLalezari  JGoodrich  J  et al. MOTIVATE Study Teams, Maraviroc for previously treated patients with R5 HIV-1 infection.  N Engl J Med 2008;359 (14) 1429- 1441PubMedGoogle ScholarCrossref
25.
Cooper  DASteigbigel  RTGatell  JM  et al. BENCHMRK Study Teams, Subgroup and resistance analyses of raltegravir for resistant HIV-1 infection.  N Engl J Med 2008;359 (4) 355- 365PubMedGoogle ScholarCrossref
26.
Brañas  FBerenguer  JSanchez-Conde  M  et al.  The eldest of older adults living with HIV: response and adherence to highly active antiretroviral therapy.  Am J Med 2008;121 (9) 820- 824PubMedGoogle ScholarCrossref
27.
Barclay  TRHinkin  CHCastellon  SA  et al.  Age-associated predictors of medication adherence in HIV-positive adults: Health beliefs, self-efficacy, and neurocognitive status.  Health Psychol 2007;26 (1) 40- 49PubMedGoogle ScholarCrossref
28.
Sabin  CALee  KJDunn  D  et al.  Treatment switches after viral rebound in HIV-infected adults starting antiretroviral therapy: multicentre cohort study.  AIDS 2008;22 (15) 1943- 1950PubMedGoogle ScholarCrossref
29.
Benzie  AABansi  LKSabin  CA  et al. United Kingdom Collaborative HIV Cohort (CHIC) Study Group, Increased duration of viral suppression is associated with lower viral rebound rates in patients with previous treatment failures.  AIDS 2007;21 (11) 1423- 1430PubMedGoogle ScholarCrossref
30.
Smith  CJPhillips  ANDauer  B  et al.  Factors associated with viral rebound among highly treatment-experienced HIV-positive patients who have achieved viral suppression.  HIV Med 2009;10 (1) 19- 27PubMedGoogle ScholarCrossref
31.
Phillips  ANWalker  AS Drug switching and virologic-based endpoints in trials of antiretroviral drugs for HIV infection.  AIDS 2004;18 (3) 365- 370PubMedGoogle ScholarCrossref
Original Investigation
March 8, 2010

Triple-Class Virologic Failure in HIV-Infected Patients Undergoing Antiretroviral Therapy for Up to 10 Years

Author Affiliations

Authors/Writing Committee (Affiliation): The following is a complete list of the members of the PLATO II Project Team Analysis and Writing Committee, who take authorship responsibility for the COHERE Group results reported herein: Rebecca Lodwick, MSc (statistician); Dominique Costagliola, PhD (ANRS CO4 FHDH); Peter Reiss, PhD (ATHENA); Carlo Torti, MD (Italian Master Cohort); Ramón Teira, MD (VACH); Maria Dorrucci, PhD (CASCADE); Bruno Ledergerber, PhD (SHCS); Amanda Mocroft, PhD (EuroSIDA); Daniel Podzamczer, PhD (PISCIS); Alessandro Cozzi-Lepri, PhD (ICONA); Niels Obel, MD (Danish HIV Cohort Study); Bernard Masquelier, PhD (ANRS CO3 AQUITAINE); Schlomo Staszewski, MD (Frankfurt HIV Cohort); Federico García, PhD (Co-RIS); Stephane De Wit, PhD (Brussels St Pierre Cohort); Antonella Castagna, MD (San Raffaele Cohort); Andrea Antinori, MD (ICC); Ali Judd, PhD (CHIPS); Jade Ghosn, PhD (ANRS CO6 PRIMO); Giota Touloumi, PhD (AMACS); Cristina Mussini, MD (Modena Cohort); Xavier Duval, PhD (ANRS CO8 COPILOTE); José Ramos, MD (Madrid Cohort); Laurence Meyer, PhD (ANRS CO2 SEROCO); Josiane Warsawski, PhD (ANRS CO1 EPF); Claire Thorne, PhD (ECS); Joan Masip, MD (HIV-MIP); Santiago Pérez-Hoyos, PhD (GEMES-Haemo); Deenan Pillay, PhD (UK CHIC); Ard van Sighem, PhD (ATHENA); Sergio Lo Caputo, MD (Italian Master Cohort); Huldrych Günthard, MD (SHCS); Roger Paredes, PhD (EuroSIDA); Andrea De Luca, MD (ICONA); Dimitrios Paraskevis, PhD (AMACS); Céline Fabre-Colin (Bordeaux RCC); Jesper Kjaer, MSc (Copenhagen RCC); Genèvieve Chêne, PhD (Bordeaux RCC); Jens D. Lundgren, DMSc (Copenhagen RCC); and Andrew N. Phillips, PhD (PLATO II project leader; UK CHIC).Key to Author Affiliations: AMACS, Athens Multicenter AIDS Cohort Study; ANRS, Agence Nationale de Recherches sur le Sida; ATHENA, AIDS Therapy Evaluation in the Netherlands; CASCADE, Concerted Action on SeroConversion to AIDS and Death in Europe; CHIPS, Collaborative HIV Paediatric Study; CO1 through CO4, CO6, and CO8, Cohorts 1 through 4, 6, and 8, respectively; COPILOTE, Cohorte de Patients mis sous Inhibiteurs de protease suivi Long Terme; Co-RIS, Cohorte de la Red de Investigación en Sida; ECS, European Collaborative Study; EPF, Enquête Périnatale Française; FHDH, French Hospital Database on HIV; GEMES-Haemo, Grupo Español Multicéntrico para el Estudio de Serovonvertores-Haemophilia; HIV-MIP, The Spanish Cohort of HIV-Infected Mother-Infant Pairs; ICC, INMI (Istituto Nazionale per le Malattie Infettive) Clinical Cohort; ICONA, Italian Cohort of Antiretroviral Naïve Patients; PISCIS, Proyecto para la Informatización del Seguimiento Clinico-epidemiológico de la Infección por HIV y SIDA; RCC, Regional Coordinating Center; SHCS, Swiss HIV Cohort Study; UK CHIC, UK Collaborative HIV Cohort; VACH, VIH-Aplicación de Control Hospitalario.

Arch Intern Med. 2010;170(5):410-419. doi:10.1001/archinternmed.2009.472
Abstract

Background  Life expectancy of people with human immunodeficiency virus (HIV) is now estimated to approach that of the general population in some successfully treated subgroups. However, to attain these life expectancies, viral suppression must be maintained for decades.

Methods  We studied the rate of triple-class virologic failure (TCVF) in patients within the Collaboration of Observational HIV Epidemiological Research Europe (COHERE) who started antiretroviral therapy (ART) that included a nonnucleoside reverse-transcriptase inhibitor (NNRTI) or a ritonavir-boosted protease inhibitor (PI/r) from 1998 onwards. We also focused on TCVF in patients who started a PI/r-containing regimen after a first-line NNRTI-containing regimen failed.

Results  Of 45 937 patients followed up for a median (interquartile range) of 3.0 (1.5-5.0) years, 980 developed TCVF (2.1%). By 5 and 9 years after starting ART, an estimated 3.4% (95% confidence interval [CI], 3.1%-3.6%) and 8.6% (95% CI, 7.5%-9.8%) of patients, respectively, had developed TCVF. The incidence of TCVF rose during the first 3 to 4 years on ART but plateaued thereafter. There was no significant difference in the risk of TCVF according to whether the initial regimen was NNRTI or PI/r based (P = .11). By 5 years after starting a PI/r regimen as second-line therapy, 46% of patients had developed TCVF.

Conclusions  The rate of virologic failure of the 3 original drug classes is low, but not negligible, and does not appear to diminish over time from starting ART. If this trend continues, many patients are likely to need newer drugs to maintain viral suppression. The rate of TCVF from the start of a PI/r regimen after NNRTI failure provides a comparator for studies of response to second-line regimens in resource-limited settings.

Life expectancy and, equivalently, age-specific death rates in people with HIV have been estimated to be approaching those of the uninfected general population in some successfully treated subgroups.1,2 These promising life expectancies will only be realized, however, if death rates associated with HIV do not rise in the future. The main underlying mechanism by which rates have been reduced is complete suppression of viral replication by antiretroviral therapy (ART), and so low death rates are dependent on the duration of continued viral suppression. Most regimens used so far contain drugs from the original 3 ART classes: nucleos(t)ide reverse-transcriptase inhibitors (NRTIs), nonNRTIs (NNRTIs), and protease inhibitors (PIs). Current regimens tend to lead to sustained viral suppression in most patients, but rates of virologic failure (failure to [continue to] suppress viral load) remain appreciable. Virologic failure is thought to occur as the result of an uncertain mixture between suboptimal regimen adherence and the development of resistance. The fact that some patients are infected with resistant virus is probably an additional cause. So, while multiple drugs from several new classes are now available (integrase inhibitors, fusion inhibitors, and chemokine [C-C motif] receptor 5 [CCR5] antagonists), at least in high-income countries, lifelong viral suppression and consequential low death rates cannot be assured indefinitely. Virologic failure of the 3 original classes represents a key stage in a patient's drug failure history, and it is important to monitor the rate with which this is occurring to anticipate the continuing need for new drugs.3-12 Such prediction of future need is important in the light of the lengthy drug development process.

In high-income countries, regimens containing a ritonavir-boosted PI (PI/r) with 2 NRTIs or an NNRTI with 2 NRTIs are recommended to be used as first-line treatment.13-16 Short-term randomized trials have suggested that patients initiating ART with regimens based on the NNRTI efavirenz have at least as low rates of virologic failure as those starting with PI/r-containing regimens.17 Long-term follow-up to compare rates of triple-class virologic failure (TCVF) according to the drug classes used in the starting regimen have been restricted to nonrandomized comparisons in cohort studies and have reported little marked difference between PI/r- and NNRTI-containing regimens, albeit with wide confidence intervals.4 In resource-limited settings, NNRTI-containing regimens are the almost universal choice for initial regimens. Increasingly, second-line regimens containing a PI/r are being introduced in such settings for patients who appear, by whatever means of monitoring available, to be failing first-line regimens.18 Viral load outcomes of first-line regimens in such settings have been reported, and increasingly, virologic responses to second-line PI/r-based regimens will also be reported. However, there is currently little robust data from high-income countries on response to PI/r-based regimens in patients who have previously failed a first-line NNRTI regimen that can be used as a benchmark for comparison.

Herein, we report the rates of TCVF of the 3 original drug classes in over 45 000 patients within the Collaboration of Observational HIV Epidemiological Research Europe (COHERE) group19 who started ART with an NNRTI- or PI/r-containing regimen. We further present the rate of TCVF in the subgroup of patients for whom an NNRTI-containing regimen virologically failed before they started a PI/r-containing regimen. This study forms part of the PLATO II project. The original PLATO collaboration reported in 2004 on outcomes in patients for whom viral suppression treatment with an NRTI, an NNRTI, and a PI virologically failed.11

Methods
Patients

COHERE is a collaboration of most HIV observational cohorts in Europe.19 The 28 cohorts participating in the PLATO II project submitted data in a standardized format20 to 1 of 2 regional coordinating centers where error checks were performed prior to the cohort data being merged to form the COHERE database. Patients appearing in more than 1 cohort were identified, and duplicate records removed. This analysis (on data merged in 2008) was restricted to antiretroviral-naïve patients 16 years or older who started ART from 1998 onwards with an initial regimen of 2 NRTIs and either an NNRTI or a PI/r. Patients were followed up from the start of ART to their last viral load measurement. Because the definition of virologic failure used in this study requires 4 months of use of a drug, patients were only included if they had at least 4 months (122 days) of follow-up.

Statistical methods

Virologic failure of a drug was defined as 1 viral load found to be above 500 copies/mL following at least 4 months of continuous drug use. The main end point in this study was TCVF, defined as virologic failure of 2 NRTIs, 1 NNRTI, and 1 PI/r. Modifications to the definition of virologic failure were considered in several sensitivity analyses: (1) virologic failures were excluded if they were followed by the finding of a viral load below 50 copies/mL without any change in treatment; (2) 3 months of continuous drug use was required instead of 4 months; (3) 6 months of continuous drug use was required; (4) virologic failure was defined as a viral load above 1000 copies/mL instead of 500 copies/mL. A further sensitivity analysis considered a combined virologic failure and drug cessation end point defined as follows: (1) virologic failure of 2 NRTIs or the use and cessation of 5 NRTIs; and (2) virologic failure of a PI/r or the use and cessation of 3 PIs; and (3) virologic failure of an NNRTI or the use and cessation of both nevirapine and efavirenz.

Kaplan-Meier and Cox regression methods were used to investigate the risk of TCVF after starting ART. Potential predictors of TCVF at the time of starting ART were risk group (incorporating sex), year of starting ART, age, initial regimen, pre-ART AIDS diagnosis, CD4 lymphocyte count, and viral load.

In further analyses we focused on a subgroup of patients who had followed a common currently recommended treatment strategy of an NNRTI-based regimen followed, after virologic failure, by a PI/r-based regimen. Patients included in these analyses started ART with an NNRTI-based regimen, experienced virologic failure of an NNRTI regimen (not necessarily their original NNRTI) while PI-naïve, and later started a PI/r regimen while still PI naïve. Follow-up from NNRTI failure to the start of the PI/r therapy was retrospectively broken down by ART use and viral load. These patients were also followed up from the start of the PI/r to TCVF: Kaplan-Meier and Cox regression methods were used to investigate the risk of TCVF after starting the PI/r. Potential predictors of TCVF at the start of the PI/r treatment were risk group, age, AIDS diagnosis between the start of ART and the start of the PI/r regimen, CD4 lymphocyte count, viral load, year of starting the PI/r regimen, number of new NRTIs in the regimen at the start of the PI/r regimen, and cumulative time spent on ART with a viral load above 500 copies/mL (after an NNRTI had virologically failed and before the PI/r regimen was first begun).

The continuous variables (age, CD4 lymphocyte count, and viral load) were fitted as categorical variables to allow us to investigate the shape of the relationship between these variables and the risk of TCVF. The Cox regression models were stratified by cohort. All P values are 2 sided. Analyses were performed using SAS software, version 9.1 (SAS Inc, Cary, North Carolina).

Results
Development of tcvf in patients starting art

The pre-ART characteristics of the 45 937 patients included in the analysis are summarized in Table 1. Patients were followed up for a median (interquartile range [IQR]) of 3.0 (1.5-5.0) years (maximum follow-up, 10.2 years), and 980 developed TCVF (2.1%). The incidence of TCVF after ART initiation rose in the first 3 to 4 years but appeared to plateau at around 1.0 to 1.5 per 100 person-years thereafter, up to year 9 (Figure). By 5 and 9 years from the start of ART, the estimated cumulative proportions of patients who had developed TCVF were 3.4% (95% confidence interval [CI], 3.1%-3.6%) and 8.6% (95% CI, 7.5%-9.8%), respectively. Of the included patients, 1238 died without developing TCVF (2.7%).

Of the 29 282 patients starting ART with an NNRTI regimen, 4836 had a pre-ART AIDS diagnosis (16.5%), compared with 4140 of the 16 655 starting ART with a PI/r regimen (24.9%). The respective median (IQR) CD4 lymphocyte counts and viral loads were 228 (129-335) cells/μL and 4.8 (4.1-5.3) log10 copies/mL in patients starting an NNRTI regimen and 178 (66-297) cells/μL and 5.0 (4.5-5.5) log10 copies/mL in patients starting a PI/r regimen.

A lower risk of TCVF was observed in homosexual men than in the other combined sex and risk groups (Table 2). Older age at the time of starting ART was found to be associated with a lower risk of TCVF (age ≥60 years vs age 35-44 years, adjusted hazard ratio [HR], 0.56; 95% CI, 0.35-0.92; age 16-24 years vs age 35-44 years, adjusted HR, 1.73; 95% CI, 1.35-2.22). Lower pre-ART CD4 lymphocyte count and higher pre-ART viral load were associated with an increased risk of TCVF (CD4, 350-499 cells/μL vs 200-349 cells/μL adjusted HR, 0.63; 95% CI, 0.49-0.82; viral load ≥6.0 log10 copies/mL vs <4.0 log10 copies/mL adjusted HR, 1.86; 95% CI, 1.30-2.67). There was no significant difference in the risk of TCVF according to whether an NNRTI or a PI/r was used in the initial ART regimen (adjusted HR for initial PI/r vs initial NNRTI, 0.88; 95% CI, 0.75-1.03) (P = .11).

DEVELOPMENT OF TCVF IN PATIENTS STARTING A PI/r REGIMEN AS SECOND-LINE ART

Of the 29 282 patients who started ART with an NNRTI, 6568 experienced virologic failure of an NNRTI (22.4%). Of those for whom an NNRTI virologically failed, 6334 were PI-naïve (96.4%). Among these 6334 people, 2429 later started a PI regimen, of whom 2042 (84.1%) started a PI/r regimen. The characteristics of these patients at the time of starting the PI/r treatment are summarized in Table 3. The median (IQR) time from starting ART to the NNRTI failure was 0.9 (0.5-1.9) years, and the median (IQR) time from the NNRTI failure to starting a PI/r regimen was 0.8 (0.3-2.2) years. Of a total of 2945 person-years of follow-up between failure of the NNRTI and initiation of the PI/r regimens, 353 person-years were spent off ART (12%); 1928 person-years were spent on ART with viral loads higher than 500 copies/mL (65%); and 664 person-years were spent on ART with viral loads of 500 copies/mL or lower (23%).

Of the 2042 patients in this analysis, 575 developed TCVF (28.2%), in all cases on the date of virologic failure of a PI/r. The estimated cumulative proportions (95% CIs) of patients with TCVF 1 and 5 years after starting a PI/r regimen were 20.4% (18.4%-22.3%) and 46.3% (42.8%-49.7%), respectively. In the heterosexual risk groups, 56.3% (95% CI, 49.3%-60.0%) developed TCVF after 5 years. Predictors of TCVF after the start of the PI/r regimen in this group of patients are listed in Table 4. Higher viral loads and lower CD4 lymphocyte counts at the time of starting a PI/r regimen were associated with a higher risk of TCVF, and the risk of TCVF was lower in homosexual men than in the other risk groups. Patients who, between NNRTI failure and PI/r regimen initiation, spent less time on ART with a viral load above 500 copies/mL had a lower risk of TCVF after starting the PI/r regimen (3-6 months vs 0-3 months adjusted HR, 1.43; 95% CI, 1.11-1.84). Inclusion of new NRTIs in the regimen at the time of starting the PI/r treatment was not statistically significant for predicting TCVF (at least 1 new NRTI vs no new NRTIs adjusted HR, 0.85; 95% CI, 0.70-1.03).

Sensitivity analyses

In an analysis that excluded those virologic failures that were followed by a viral load below 50 copies/mL without any change in treatment, 880 patients developed TCVF (1.9%). The estimated cumulative proportions (95% CIs) of patients with TCVF by 5 and 9 years after starting ART were 3.0% (2.8%-3.3%) and 7.8% (6.7%-9.0%), respectively. The results from the multivariable Cox regression model were consistent with those from the model obtained for the main analysis.

When the definition of virologic failure was modified to require 3 months of continuous use of a drug before failure, the estimated cumulative proportion (95% CI) with TCVF by 9 years from the start of ART was 9.5% (8.3%-10.6%). For 6 months of continuous use, the same estimate was 7.5% (6.3%-8.6%). Where the definition was modified to require 4 months of continuous use and a viral load above 1000 copies/mL, the estimate was 7.6% (6.6%-8.6%).

An end point intended to capture exhaustion of the original 3 antiretroviral classes through use and cessation of drug regimens as well as through virologic failure was experienced by 1177 patients (2.6%): the estimated cumulative proportions by 5 and 9 years were 3.8% (3.5%-4.1%) and 12.7% (11.2%-14.2%), respectively.

Comment

In this large collaborative analysis we found that the rate with which patients experienced virologic failure of the original 3 drug classes rose over the first 3 to 4 years from start of ART to around 1% per year and then stayed around this level thereafter. By 9 years from the start of ART, an estimated 8.6% of patients had developed TCVF. While this confirms the low rate with which the virologic benefits of these classes are lost,3-5,10 from the perspective of lifelong maintenance of viral suppression it suggests that many patients are likely to eventually require newer drugs within the coming decades.

It is worth noting that development of TCVF may not necessarily mean that all 3 classes have been exhausted, particularly given the availability of newer PIs and NNRTIs such as darunavir and etravirine, which have been shown to be effective in treatment-experienced patients.21 Drugs from new classes are now available in high-income countries,22-24 and encouraging results have been obtained in clinical trials. However, they all have limitations in routine clinical practice: integrase inhibitors are somewhat prone to lose efficacy due to resistance development25; enfuvirtide requires injection; and CCR5 antagonists are only active against R5 strains of virus. Thus, in patients who have experienced virologic failure of the 3 original classes, it is uncertain whether these new classes will then be able to ensure lifelong viral suppression. Some patients will eventually require further options, and given the length of the drug development process, it is important that new compounds continue to be developed.

The rates of development of TCVF were very similar whether ART was started with NNRTI-containing regimens or PI/r-containing regimens, consistent with previous observations from cohort studies.4,10 This finding supports current guidelines that recommend that specific drugs within either class be used in first-line regimens.13-16 Factors in our analysis associated with slower development of TCVF included being in the homosexual male risk group and older age. While the improved outcome in older people, identified in previous studies,4 is likely to be explained by a tendency for better adherence in older people,26,27 the reasons for the better outcomes observed in homosexual men are less clear, although factors such as adherence, socioeconomic status, migration status, and health-seeking behavior could also play a role.

We also found that those with lower pre-ART viral load and those with higher pre-ART CD4 lymphocyte count tended to develop TCVF more slowly, as noted in previous observations.4,5 This could partly be explained by differences in health-seeking behavior, and hence adherence, between those who present early for therapy and therefore start ART at a higher CD4 lymphocyte count.

We also investigated the rate of development of TCVF in people for whom an NNRTI regimen virologically failed and who then started a PI/r-containing regimen as their first PI treatment. Owing to their failure history, this group generally had poorer adherence than patients who had not previously experienced virologic failure. There are relatively few robust data on virologic responses in patients using PI/r-containing second-line regimens, and our estimate of 46% with TCVF by 5 years (55% in the heterosexual risk groups) provides a benchmark against which comparisons can be made, including studies of second-line regimens in resource-limited settings. Those comparisons will have to consider the factors associated with a slower time to TCVF in our analysis. Again, homosexual men experienced a slower rate of TCVF, as did those with lower viral load and those with higher CD4 lymphocyte count, possibly partially owing to these markers reflecting patient adherence. The observed increased risk of TCVF in patients starting the PI/r regimen in later calendar years is difficult to interpret. A possible explanation is that, as avoidance of initial virologic failure has improved in more recent calendar years, patients with more serious adherence issues may be overrepresented in later years of starting a PI/r regimen after NNRTI failure.

For those patients for whom an NNRTI-based first-line regimen virologically failed and who subsequently started a PI/r regimen as second-line ART, the time to the start of the PI/r regimen was long (median, 0.8 years) but in line with previous data.28 Lower CD4 lymphocyte count and higher viral load at the time of first virologic failure were associated with shorter time to starting the third antiretroviral class (data not shown). In the present study, we observed that TCVF developed more slowly in patients who, between the failure of an NNRTI regimen and the starting of a PI/r regimen, had spent less than 3 months on ART with a viral load above 500 copies/mL. This finding is consistent with the view that earlier detection of failure of NNRTI-containing drug regimens and switch to a PI/r regimens without delay could potentially significantly reduce the rate of TCVF.

We considered the effect of modifications in our definition of TCVF, but none of these resulted in sizeable changes to our estimates.

There are several limitations to our analysis. First, we only studied virologic failure of drugs and did not directly factor in data on resistance mutations detected. In some cases, virologic failure occurs in the absence of resistance mutations, perhaps largely owing to poor adherence. If adherence issues can be overcome, then the drugs should remain active, and options have not been lost.

Second, in our comparison of NNRTI- and PI/r-containing regimens, patients were not randomized to receive one regimen or the other, so there were differences at ART initiation between these 2 patient groups. While we adjusted for factors measured at the start of ART that were associated with the rate of TCVF, bias in the comparison due to unmeasured confounding may well remain.

Third, although the maximum follow-up after starting ART was in excess of 10 years, the available follow-up for many patients was substantially less. It may be that, with longer follow-up, the incidence of TCVF would eventually begin to decrease with time from starting ART, both as patients most susceptible to periods of poor adherence are selected out and as the long-term impact on adherence of the more recent easy-to-take combination pills is realized.29,30

A further limitation is that patients included in COHERE tend to be treated in large clinics with strong research links, and so may not be representative of the population of patients on ART in Europe.

The rates of TCVF that we observed may at first sight seem inconsistent with results from randomized trials in which relatively high proportions of people have been observed to exhibit the signs of drug failure within 1 to 2 years of the start of therapy. However, most trials have used composite definitions of failure so that, for example, stopping treatment with some drugs and a missing viral load value are considered criteria for defining failure equal to the finding of an elevated viral load itself.31 Therefore, it is not possible to directly compare those findings with those of the present study. Furthermore, most trials consider the failure of only 1 regimen, typically containing 2 drug classes, while we are considering the failure of 3 classes over at least 2 separate regimen failure episodes.

In conclusion, the rate of virologic failure of the 3 original drug classes is low, but not negligible, and does not appear to diminish with time from start of ART. If this trend continues, many patients are likely to eventually need newer drugs, possibly other than those currently available, to maintain viral suppression for their lifetime. It is important to continue to monitor the development of TCVF over longer periods of follow-up and to study the incidence of multiple class failure following exposure to the newer antiretroviral classes. The rate of TCVF from start of a PI/r regimen after previous NNRTI failure is relatively high at around 46% by 5 years and provides a relevant comparator for future studies in resource-limited settings.

Correspondence: Rebecca Lodwick, MSc, HIV Epidemiology & Biostatistics Group, Research Department of Infection and Population Health, UCL Medical School, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK (r.lodwick@ucl.ac.uk).

Accepted for Publication: August 31, 2009.

Financial Disclosure: Dr Costagliola has received travel grants, consultancy fees, honoraria, and/or study grants from Abbott Pharmaceuticals, Boehringer-Ingelheim, Bristol-Myers Squibb, Gilead, GlaxoSmithKline, Janssen-Cilag/Tibotec, Merck, and Roche; Dr Reiss has received consultancy and/or honoraria/speaking fees from GlaxoSmithKline, Bristol-Myers Squibb, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, Roche, Gilead, Theratechnologies, and Merck; Dr Torti has received honoraria/speaking fees from GlaxoSmithKline, Bristol-Myers Squibb, Abbott Pharmaceuticals, and Gilead; Dr Teira has received consultancy fees from Abbott Pharmaceuticals and honoraria/speaking fees from GlaxoSmithKline, Bristol-Myers Squibb, Janssen-Cilag/Tibotec, Abbott Pharmaceuticals, and Gilead; Dr Ledergerber has received consultancy fees from Janssen-Cilag/Tibotec and Gilead and honoraria/speaking fees from GlaxoSmithKline and Gilead; Dr Mocroft has received consultancy fees from Bristol-Myers Squibb and honoraria/speaking fees from Bristol-Myers Squibb, Pfizer, and Boehringer-Ingelheim; Dr Cozzi-Lepri has received consultancy fees from GlaxoSmithKline, Bristol-Myers Squibb, and Gilead; Dr Obel has received and/or will receive grants and/or patents from GlaxoSmithKline, Bristol-Myers Squibb, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, Roche, Abbott Pharmaceuticals, Merck, and Swedish Orphan, and he has received research funding from Roche, Bristol-Myers Squibb, Merck, GlaxoSmithKline, Abbott Pharmaceuticals, Boehringer-Ingelheim, Janssen-Cilag, and Swedish Orphan; Dr Masquelier has received honoraria/speaking fees from Pfizer, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, and Abbott Pharmaceuticals, and he has received and/or will receive grants and/or patents from Pfizer and Janssen-Cilag/Tibotec; Dr Staszewski has received grants, funding, honoraria (including honoraria for continuing medical education), lecture sponsorships, and consultancy and advisory fees from Gilead, and he has also received government grants and funding; Dr Garcia has received honoraria/speaking fees from and given expert testimony for GlaxoSmithKline, Bristol-Myers Squibb, Pfizer, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, Roche, Gilead, and Merck; Dr De Wit has received honoraria/speaking fees from GlaxoSmithKline, Bristol-Myers Squibb, Pfizer, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, Roche, and Abbott Pharmaceuticals; Dr Castagna has received honoraria/speaking fees from GlaxoSmithKline, Bristol-Myers Squibb, Pfizer, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, Roche, Abbott Pharmaceuticals, and Gilead; Dr Antinori has received consultancy and honoraria/speaking fees from GlaxoSmithKline, Bristol-Myers Squibb, Pfizer, Janssen-Cilag/Tibotec, Abbott Pharmaceuticals, Gilead, and Merck; Dr Touloumi has received and/or will receive grants and/or patents from Janssen-Cilag/Tibotec, Abbott Pharmaceuticals, and Gilead; Dr Mussini has received honoraria/speaking fees from GlaxoSmithKline, Bristol-Myers Squibb, Pfizer, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, Roche, Abbott Pharmaceuticals, and Gilead; Dr Duval has received honoraria/speaking fees from GlaxoSmithKline and Sanofi Pasteur; Dr Ramos has received honoraria/speaking fees from Bristol-Myers Squibb and Abbott Pharmaceuticals; Dr Meyer has received honoraria/speaking fees from GlaxoSmithKline; Dr Lo Caputo has received consultancy fees from Roche; Dr Günthard has received consultancy fees from GlaxoSmithKline, Bristol-Myers Squibb, Pfizer, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, Abbott Pharmaceuticals, Gilead, and Merck, all of which money is used for research (no private use of this money); Dr Paredes has received consultancy fees from Schering-Plough, honoraria/speaking fees from Pfizer, Janssen-Cilag/Tibotec, and Merck, and has received and/or will receive grants and/or patents from Pfizer, Boehringer-Ingelheim, and Merck; Dr De Luca has received consultancy fees from GlaxoSmithKline, Janssen-Cilag/Tibotec, Gilead, Siemens, and Monogram Biosciences and honoraria/speaking fees from GlaxoSmithKline, Bristol-Myers Squibb, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, Abbott Pharmaceuticals, Gilead, and Siemens; Dr Paraskevis has received and/or will receive grants and/or patents from GlaxoSmithKline, Bristol-Myers Squibb, Janssen-Cilag/Tibotec, Roche, and Abbott Pharmaceuticals; Dr Chêne has received consultancy fees from Boehringer-Ingelheim, Roche, and Gilead; Dr Lundgren has given expert testimoy for and/or received and/or will receive grants and/or patents from GlaxoSmithKline, Bristol-Myers Squibb, Pfizer, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, Roche, and Gilead; and Dr Phillips has received consultancy and/or honoraria/speaking fees from GlaxoSmithKline, Bristol-Myers Squibb, Pfizer, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, Roche, Abbott Pharmaceuticals, Gilead, and Oxxon, and he has received and/or will receive grants and/or patents from GlaxoSmithKline, Bristol-Myers Squibb, Janssen-Cilag/Tibotec, Boehringer-Ingelheim, and Abbott Pharmaceuticals.

Funding/Support: The PLATO II Project is funded by UK Medical Research Council award G0700832. The COHERE study group has also received funding from the French Agence Nationale de Recherches sur le SIDA et les Hépatites Virales, the Dutch HIV Monitoring Foundation, and the Danish Augustinus Foundation. A list of the funders of the participating cohorts are listed on the Regional Coordinating Centre Web sites at http://www.cphiv.dk/COHERE/tabid/295/Default.aspx and http://etudes.isped.u-bordeaux2.fr/cohere.

Role of the Sponsors: The study sponsors had no role in the study design, analysis, interpretation of data, writing of the report, or in the decision to submit the manuscript for publication.

Previous Presentation: This research was presented in part as a poster at the 16th Conference on Retroviruses and Opportunistic Infections; February 8-11, 2009; Montreal, Quebec, Canada.

This article was corrected online for typographical errors on 4/30/2010.

Author Contributions: All members of the PLATO II Project Team participated in discussions on the design of the study, the choice of statistical analyses and interpretation of the findings, and were involved in the preparation and review of the final manuscript for submission. In addition, Ms Lodwick and Dr Phillips were responsible for performing all analyses; Ms Lodwick acts as guarantor for the analyses and has full access to the data set. Study concept and design: Costagliola, Torti, Teira, Ledergerber, Mocroft, Masquelier, Staszewski, De Wit, Antinori, Duval, Günthard, Paredes, Lundgren, and Phillips. Acquisition of data: Costagliola, Reiss, Torti, Teira, Dorrucci, Mocroft, Podzamczer, Cozzi-Lepri, Obel, Masquelier, De Wit, Castagna, Judd, Touloumi, Mussini, Duval, Ramos, Meyer, Warszawski, Thorne, Masip, Pérez-Hoyos, Pillay, van Sighem, Lo Caputo, Günthard, De Luca, Paraskevis, Fabre-Colin, Kjaer, Chêne, Lundgren, and Phillips. Analysis and interpretation of data: Lodwick, Costagliola, Ledergerber, Mocroft, Podzamczer, Masquelier, Garcia, Judd, Ghosn, Duval, Meyer, Paraskevis, Chêne, Lundgren, and Phillips. Drafting of the manuscript: Lodwick, Dorrucci, Ledergerber, De Wit, Antinori, and Judd. Critical revision of the manuscript for important intellectual content: Costagliola, Reiss, Torti, Teira, Mocroft, Podzamczer, Cozzi-Lepri, Obel, Masquelier, Staszewski, Garcia, De Wit, Castagna, Antinori, Judd, Ghosn, Touloumi, Mussini, Duval, Ramos, Meyer, Warszawski, Thorne, Masip, Pérez-Hoyos, Pillay, van Sighem, Lo Caputo, Günthard, Paredes, De Luca, Paraskevis, Fabre-Colin, Kjaer, Chêne, Lundgren, and Phillips. Statistical analysis: Lodwick, Costagliola, Ledergerber, Mocroft, Cozzi-Lepri, and Phillips. Obtained funding: Meyer, Thorne, Pillay, Günthard, Chêne, Lundgren, and Phillips. Administrative, technical, and material support: Reiss, Obel, Masquelier, Antinori, Judd, Ramos, Thorne, van Sighem, Günthard, Fabre-Colin, Kjaer, and Chêne. Study supervision: Torti, Staszewski, Garcia, De Wit, Mussini, Duval, Pérez-Hoyos, Paredes, Lundgren, and Phillips.

Box Section Ref ID

COHERE Steering Committee

Executive Committee

Ian Weller (Chair, University College London), Dominique Costagliola (Vice-chair, FHDH), Bruno Ledergerber (Vice-chair, SHCS), Jens Lundgren (Head, Copenhagen Regional Coordinating Center), Genèvieve Chêne (Head, Bordeaux Regional Coordinating Center).

Cohort Representatives

Giota Touloumi (AMACS), Josiane Warszawski (ANRS CO1 EPF), Laurence Meyer (ANRS CO2 SEROCO), François Dabis (ANRS CO3 AQUITAINE), Murielle Mary Krause (ANRS CO4 FHDH), Cecile Goujard (ANRS CO6 PRIMO), Catherine Leport (ANRS CO8 COPILOTE), Frank de Wolf (ATHENA), Peter Reiss (ATHENA), Kholoud Porter (CASCADE), Maria Dorrucci (CASCADE), Caroline Sabin (UK CHIC), Diana Gibb (CHIPS), Gerd Fätkenheuer (Cologne Bonn Cohort), Julia Del Amo (Co-RIS), Niels Obel (Danish HIV Cohort), Claire Thorne (ECS), Amanda Mocroft (EuroSIDA), Ole Kirk (EuroSIDA), Schlomo Staszewski (Frankfurt Cohort), Santiago Pérez-Hoyos (GEMES-Haemo), Jesus Almeda (HIV-MIP), Andrea Antinori (ICC), Antonella d’Arminio Monforte (ICONA), Annalisa Ridolfo (IMIT), Pier-Angelo Tovo (ITLR), Maurizio de Martino (ITLR), Norbert H. Brockmeyer (KOMPNET), José Ramos (Madrid Cohort), Manuel Battegay (MoCHIV, SHCS), Cristina Mussini (Modena Cohort), Pat Tookey (NSHPC), Jordi Casabona (PISCIS), Jose M. Miró (PISCIS), Antonella Castagna (San Raffaele Cohort), Stephane De Wit (St Pierre Cohort), Carlo Torti (Italian Master Cohort), Ramon Teira (VACH), Myriam Garrido (VACH).

Project Leads

François Dabis, Matthias Egger, Hansjakob Furrer, Ole Kirk, Charlotte Lewden, Marie-Louise Newell, Andrew Phillips, Caroline Sabin, Jonathan Sterne, Amalio Telenti.

Regional Coordinating Centers

Fidéline Collin-Filleul, Michelle Ellefson, Céline Fabre-Colin, Jesper Kjaer.

European AIDS Treatment Group

Nikos Dedes

Key to COHERE Steering Committee Member Affiliations: Most affiliation abbreviations are expanded in the list of authors of the PLATO II Writing Committee. In addition, IMIT indicates Institute of Infectious and Tropical Diseases, University of Milan; ITLR, The Italian Register for HIV Infection in Children; MoCHIV, Mother & Child HIV Cohort Study; and NSHPC, National Study of HIV in Pregnancy and Childhood.

References
1.
Bhaskaran  KHamouda  OSannes  M  et al. CASCADE Collaboration, Changes in the risk of death after HIV seroconversion compared with mortality in the general population.  JAMA 2008;300 (1) 51- 59PubMedGoogle ScholarCrossref
2.
Lewden  CChene  GMorlat  P  et al. Agence Nationale de Recherches sur le Sida et les Hepatites Virales (ANRS) CO8 APROCO-COPILOTE Study Group; Agence Nationale de Recherches sur le Sida et les Hepatites Virales (ANRS) CO3 AQUITAINE Study Group, HIV-infected adults with a CD4 cell count greater than 500 cells/mm(3) on long-term combination antiretroviral therapy reach same mortality rates as the general population.  J Acquir Immune Defic Syndr 2007;46 (1) 72- 77PubMedGoogle ScholarCrossref
3.
Lohse  NObel  NKronborg  G  et al.  Declining risk of triple-class antiretroviral drug failure in Danish HIV-infected individuals.  AIDS 2005;19 (8) 815- 822PubMedGoogle ScholarCrossref
4.
Phillips  ANLeen  CWilson  A  et al. UK Collaborative HIV Cohort (CHIC) Study, Risk of extensive virological failure to the three original antiretroviral drug classes over long-term follow-up from the start of therapy in patients with HIV infection: an observational cohort study.  Lancet 2007;370 (9603) 1923- 1928PubMedGoogle ScholarCrossref
5.
Mocroft  ALedergerber  BViard  JP  et al. EuroSIDA Study Group, Time to virological failure of 3 classes of antiretrovirals after initiation of highly active antiretroviral therapy: results from the EuroSIDA Study Group.  J Infect Dis 2004;190 (11) 1947- 1956PubMedGoogle ScholarCrossref
6.
Sabin  CAHill  TLampe  F  et al. UK Collaborative HIV Cohort (UK CHIC) Study Group, Treatment exhaustion of highly active antiretroviral therapy (HAART) among individuals infected with HIV in the United Kingdom: multicentre cohort study.  BMJ 2005;330 (7493) 695- 698PubMedGoogle ScholarCrossref
7.
Zaccarelli  MTozzi  VLorenzini  P  et al. Collaborative Group for Clinical Use of HIV Genotype Resistance Test (GRT) at National Institute for Infectious Diseases Lazzaro Spallanzani, Multiple drug class-wide resistance associated with poorer survival after treatment failure in a cohort of HIV-infected patients.  AIDS 2005;19 (10) 1081- 1089PubMedGoogle ScholarCrossref
8.
Tozzi  VZaccarelli  MBonfigli  S  et al. Collaborative Group for Clinical Use of HIV Genotype Resistance Test, Drug-class-wide resistance to antiretrovirals in HIV-infected patients failing therapy: prevalence, risk factors and virological outcome.  Antivir Ther 2006;11 (5) 553- 560PubMedGoogle Scholar
9.
Napravnik  SKeys  JRQuinlivan  EBWohl  DAMikeal  OVEron  JJ  Jr Triple-class antiretroviral drug resistance: risk and predictors among HIV-1-infected patients.  AIDS 2007;21 (7) 825- 834PubMedGoogle ScholarCrossref
10.
Mocroft  AHorban  AClotet  B  et al. EuroSIDA Study Group, Regional differences in the risk of triple class failure in European patients starting combination antiretroviral therapy after 1 January 1999.  HIV Med 2008;9 (1) 41- 46PubMedGoogle ScholarCrossref
11.
Ledergerber  BLundgren  JDWalker  AS  et al. PLATO Collaboration, Predictors of trend in CD4-positive T-cell count and mortality among HIV-1-infected individuals with virological failure to all three antiretroviral-drug classes.  Lancet 2004;364 (9428) 51- 62PubMedGoogle ScholarCrossref
12.
Costagliola  DPotard  VDuvivier  C  et al. French Hospital Database on HIV, Impact of newly available drugs on clinical progression in patients with virological failure after exposure to three classes of antiretrovirals.  Antivir Ther 2005;10 (4) 563- 573PubMedGoogle Scholar
13.
Hammer  SMEron  JJ  JrReiss  P  et al. International AIDS Society-USA, Antiretroviral treatment of adult HIV infection: 2008 recommendations of the International AIDS Society USA panel.  JAMA 2008;300 (5) 555- 570PubMedGoogle ScholarCrossref
14.
DHHS Panel on Antiretroviral Guidelines for Adults and Adolescents—A Working Group of the Office of AIDS Research Advisory Council (OARAC), Guidelines for the use of antiretroviral agents in HIV-1-infected adults and adolescents. http://www.aidsinfo.nih.gov/ContentFiles/AdultandAdolescentGL.pdf. Accessed December 15, 2008
15.
Gazzard  BGBHIVA Treatment Guidelines Writing Group, British HIV Association guidelines for the treatment of HIV-1-infected adults with antiretroviral therapy 2008.  HIV Med 2008;9 (8) 563- 608PubMedGoogle ScholarCrossref
16.
Clumeck  NPozniak  ARaffi  FEACS Executive Committee, European AIDS Clinical Society (EACS) guidelines for the clinical management and treatment of HIV-infected adults.  HIV Med 2008;9 (2) 65- 71PubMedGoogle ScholarCrossref
17.
Riddler  SAHaubrich  RDiRienzo  AG  et al. AIDS Clinical Trials Group Study A5142 Team, Class-sparing regimens for initial treatment of HIV-1 infection.  N Engl J Med 2008;358 (20) 2095- 2106PubMedGoogle ScholarCrossref
18.
World Health Organization, HIV/AIDS Department, Priority interventions: HIV/AIDS prevention, treatment and care in the health sector: Version 1.2: April 2009. http://www.who.int/hiv/pub/priority_interventions_web.pdf. Accessed August 31, 2009
19.
Collaboration of Observational HIV Epidemiological Research Europe (COHERE) Study Group, Response to combination antiretroviral therapy: variation by age.  AIDS 2008;22 (12) 1463- 1473PubMedGoogle ScholarCrossref
20.
Kjaer  JLedergerber  B HIV cohort collaborations: proposal for harmonization of data exchange.  Antivir Ther 2004;9 (4) 631- 633PubMedGoogle Scholar
21.
Fagard  CDescamps  DDubar  V  et al.  Efficacy and safety of raltegravir plus etravirine and darunavir/ritonavir in treatment-experienced patients with multidrug-resistant virus: 48-week results from the ANRS 139 TRIO trial.  Presented at: the 5th IAS Conference on HIV Pathogenesis, Treatment and Prevention; July 19-22, 2009; Cape Town, South Africa
22.
Lazzarin  AClotet  BCooper  D  et al. TORO 2 Study Group, Efficacy of enfuvirtide in patients infected with drug-resistant HIV-1 in Europe and Australia.  N Engl J Med 2003;348 (22) 2186- 2195PubMedGoogle ScholarCrossref
23.
Steigbigel  RTCooper  DAKumar  PN  et al. BENCHMRK Study Teams, Raltegravir with optimized background therapy for resistant HIV-1 infection.  N Engl J Med 2008;359 (4) 339- 354PubMedGoogle ScholarCrossref
24.
Gulick  RMLalezari  JGoodrich  J  et al. MOTIVATE Study Teams, Maraviroc for previously treated patients with R5 HIV-1 infection.  N Engl J Med 2008;359 (14) 1429- 1441PubMedGoogle ScholarCrossref
25.
Cooper  DASteigbigel  RTGatell  JM  et al. BENCHMRK Study Teams, Subgroup and resistance analyses of raltegravir for resistant HIV-1 infection.  N Engl J Med 2008;359 (4) 355- 365PubMedGoogle ScholarCrossref
26.
Brañas  FBerenguer  JSanchez-Conde  M  et al.  The eldest of older adults living with HIV: response and adherence to highly active antiretroviral therapy.  Am J Med 2008;121 (9) 820- 824PubMedGoogle ScholarCrossref
27.
Barclay  TRHinkin  CHCastellon  SA  et al.  Age-associated predictors of medication adherence in HIV-positive adults: Health beliefs, self-efficacy, and neurocognitive status.  Health Psychol 2007;26 (1) 40- 49PubMedGoogle ScholarCrossref
28.
Sabin  CALee  KJDunn  D  et al.  Treatment switches after viral rebound in HIV-infected adults starting antiretroviral therapy: multicentre cohort study.  AIDS 2008;22 (15) 1943- 1950PubMedGoogle ScholarCrossref
29.
Benzie  AABansi  LKSabin  CA  et al. United Kingdom Collaborative HIV Cohort (CHIC) Study Group, Increased duration of viral suppression is associated with lower viral rebound rates in patients with previous treatment failures.  AIDS 2007;21 (11) 1423- 1430PubMedGoogle ScholarCrossref
30.
Smith  CJPhillips  ANDauer  B  et al.  Factors associated with viral rebound among highly treatment-experienced HIV-positive patients who have achieved viral suppression.  HIV Med 2009;10 (1) 19- 27PubMedGoogle ScholarCrossref
31.
Phillips  ANWalker  AS Drug switching and virologic-based endpoints in trials of antiretroviral drugs for HIV infection.  AIDS 2004;18 (3) 365- 370PubMedGoogle ScholarCrossref
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