[RH], ; 95% ; P

Similar documents
Anumber of clinical trials have demonstrated

The importance of cohort collaborations for guiding clinical management of individuals with HIV infection

Liver Toxicity in Epidemiological Cohorts

Many highly active antiretroviral therapy PROCEEDINGS

Antiretroviral treatment outcomes after the introduction of tenofovir in the public-sector in South Africa

ORIGINAL INVESTIGATION

Supplemental Digital Content 1. Combination antiretroviral therapy regimens utilized in each study

Transient viral load increases in HIV-infected children in the UK and Ireland: what do they mean?

Supplement for: CD4 cell dynamics in untreated HIV-1 infection: overall rates, and effects of age, viral load, gender and calendar time.

Antiretroviral Therapy Cohort Collaboration

Perspective Resistance and Replication Capacity Assays: Clinical Utility and Interpretation

European Guidelines. for the Clinical Management and Treatment of HIV Infected Adults

0.14 ( 0.053%) UNAIDS 10% (94) ( ) (73-94/6 ) 8,920

The Danish HIV Cohort Study, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark 4

Management of NRTI Resistance

Plasma HIV-1 RNA Detection Below 50 Copies/mL and Risk of Virologic Rebound in Patients Receiving Highly Active Antiretroviral Therapy

Terapia antirretroviral inicial y de rescate: Utilidad actual y futura de nuevos medicamentos

Supervised Treatment Interruption (STI) in an Urban HIV Clinical Practice: A Prospective Analysis.

Perspective Antiretroviral Therapy: Select Lessons From Recent Studies

NNRTI Resistance NORTHWEST AIDS EDUCATION AND TRAINING CENTER

HIV Treatment Update. Awewura Kwara, MD, MPH&TM Associate Professor of Medicine and Infectious Diseases Brown University

Antiviral Therapy 2013; 18: (doi: /IMP2329)

Highly active antiretroviral (ARV) therapy (HAART) has dramatically

HIV drug susceptibility and treatment response to mega-haart regimen in patients from the Frankfurt HIV cohort

Antiretroviral Therapy During Pregnancy and Delivery: 2015 Update

To interrupt or not to interrupt Are we SMART enough?

Special Contribution Questions to and Answers from the International AIDS Society USA Resistance Testing Guidelines Panel

Predictors of HIV Drug-Resistance Mutations in a Large Antiretroviral-Naive Cohort Initiating Triple Antiretroviral Therapy

Higher Risk of Hyperglycemia in HIV-Infected Patients Treated with Didanosine Plus Tenofovir

NOTICE TO PHYSICIANS. Division of AIDS (DAIDS), National Institute of Allergy and Infectious Diseases, National Institutes of Health

Estimating the proportion of patients infected with HIV who will die of comorbid diseases

Principles of Antiretroviral Therapy

2 nd Line Treatment and Resistance. Dr Rohit Talwani & Dr Dave Riedel 12 th June 2012

François Raffi, 1 Christine Katlama, 2 Michael Saag, 3 Martin Wilkinson, 6 Jain Chung, 5 Lynn Smiley, 4 and Miklos Salgo 5

Time taken to reach undetectable viral loads in therapy-naïve HIV patients commencing ART

Table S1. Number of eligible individuals by cohort, HIV-CAUSAL and CNICS Collaborations,

Uniform risk of clinical progression despite differences in utilization of highly active antiretroviral therapy: Swiss HIV Cohort Study

Central Nervous System Penetration of ARVs: Does it Matter?

AIDS 2002, 16:381±385. Keywords: HAART, efavirenz, cohort study, matched case-control study, HIV, HIV protease inhibitors

Second-Line Therapy NORTHWEST AIDS EDUCATION AND TRAINING CENTER

Once-a-Day Highly Active Antiretroviral Therapy: A Systematic Review

MDR HIV and Total Therapeutic Failure. Douglas G. Fish, MD Albany Medical College Albany, New York Cali, Colombia March 30, 2007

True Durability: HIV Virologic Suppression in an Urban Clinic and Implications for Timing of Intensive Adherence Efforts and Viral Load Monitoring

14 TH EUROPEAN HIV & HEPATITIS MEETING Abst#_O_06

Herpes virus co-factors in HIV infection

DATA SHEET. Provided: 500 µl of 5.6 mm Tris HCl, 4.4 mm Tris base, 0.05% sodium azide 0.1 mm EDTA, 5 mg/liter calf thymus DNA.

EFFECT OF FIRST LINE THERAPY INCLUDING EFAVIRENZ AND TWO NUCLEOSIDE REVERSE TRANSCRIPTASE INHIBITORS IN HIV-INFECTED CHILDREN

ABC/3TC/ZDV ABC PBO/3TC/ZDV

Scientific Rationale for Antiretroviral Therapy in 2005: Viral Reservoirs and Resistance Evolution

HIV/AIDS CLINICAL CARE QUALITY MANAGEMENT CHART REVIEW CHARACTERISTICS OF PATIENTS FACTORS ASSOCIATED WITH IMPROVED IMMUNOLOGIC STATUS

1. Africa Centre for Health and Population Studies 2. London School of Hygiene and Tropical Medicine 3. University College London

Oral candidiasis and seborrheic dermatitis in HIV-infected patients on highly active antiretroviral therapy

Selected Issues in HIV Clinical Trials

Patients with persistently low CD4 counts on antiretroviral

Frailty and age are independently associated with patterns of HIV antiretroviral use in a clinical setting. Giovanni Guaraldi

TB Intensive Tyler, Texas December 2-4, Tuberculosis and HIV Co-Infection. Lisa Y. Armitige, MD, PhD. December 4, 2008.

Supplementary Methods. HIV Synthesis Transmission V1. Model details

Virologic and Immunologic Monitoring

Definitions of antiretroviral treatment failure for measuring quality outcomes

TB/HIV Co-Infection. Tuberculosis and HIV

Perspective Current Concepts in Antiretroviral Therapy Failure

Liver Toxicity in HIV Infected Patients Receiving Antiretroviral Therapy That Includes HIV I Protease Inhibitors.

Recommendations for Use of Antiretroviral Drugs in Pregnant HIV-1-Infected Women for Maternal Health and

Selected Issues in HIV Clinical Trials

CHERUB Collaborative HIV Eradication of Reservoirs: UK BRC (

The prevalence of antiretroviral drug resistance in the United States

Clinical Case. Prof.ssa Cristina Mussini

Differentiating emtricitabine (FTC) from lamivudine (3TC): what a fine-tuning of antiretroviral therapy might entail

Continuing Education for Pharmacy Technicians

Models of HIV during antiretroviral treatment

HIV & Aging: Evolving Clinical Considerations in the New Millennium

Suicide among people diagnosed with HIV in England and Wales compared to the general population

Scottish Medicines Consortium

3rd IAS Conference on HIV Pathogenesis and Treatment. Poster Number Abstract #

Pediatric Antiretroviral Resistance Challenges

Guidelines for the Use of Antiretroviral Agents in HIV-1-Infected Adults and Adolescents

Dr Huw Price University College London

Management of patients with antiretroviral treatment failure: guidelines comparison

Second and third line paediatric ART strategies

ORIGINAL INVESTIGATION. CD4 T-Lymphocyte Recovery in Individuals With Advanced HIV-1 Infection Receiving Potent Antiretroviral Therapy for 4 Years

PAEDIATRIC HIV INFECTION. Dr Ashendri Pillay Paediatric Infectious Diseases Specialist

CUMULATIVE PERINATAL HIV EXPOSURE, AUSTRALIA. Date

THE HIV LIFE CYCLE. Understanding How Antiretroviral Medications Work

PUBLIC HEALTH. HIV-infected patients HIV-infection toxicity adverse events virologic failure antiretroviral therapy. Key words:

Structured Treatment Interruption in HIV Positive Patients. Leah Jackson, BScPhm Pharmacy Resident HIV Rotation January 23, 2007

Simplifying HIV Treatment Now and in the Future

Initiation of antiretrovirals in HIV/HCV co-infected MSM: Are we too late?

Risk of HIV-1 low level viremia to treatment. Germany. Nadine Lübke Düsseldorf

Decreasing rates of Kaposi's sarcoma and non-hodgkin's lymphoma in the era of potent combination antiretroviral

National review of first treatment change after starting highly active antiretroviral therapy in antiretroviral-naïve patients

QUANTITATIVE HIV RNA (VIRAL LOAD)

Supplementary Figure 1. Gating strategy and quantification of integrated HIV DNA in sorted CD4 + T-cell subsets.

Distribution and Effectiveness of Antiretrovirals in the Central Nervous System

Gender Differences in clinical and immunological outcomes in South African HIV-infected patients on HAART

La terapia dell infezione da HIV: passato, presente e futuro.

Real Life Experience of Dolutegravir and Lamivudine Dual Therapy As a Switching Regimen in HIVTR Cohort

Introduction to HIV Drug Resistance. Kevin L. Ard, MD, MPH Massachusetts General Hospital Harvard Medical School

Determinants of residual viraemia during combination HIV treatment: Impacts of baseline HIV RNA levels and treatment choice

Journal of Antimicrobial Chemotherapy Advance Access published December 30, 2005

Antiviral Therapy 2013; 18: (doi: /IMP2436)

Transcription:

1086 Human Immunodeficiency Virus Rebound after Suppression to!400 Copies/mL during Initial Highly Active Antiretroviral Therapy Regimens, according to Prior Nucleoside Experience and Duration of Suppression Andrew N. Phillips, 1,2 Schlomo Staszewski, 3 Fiona Lampe, 1,2 Michael S. Youle, 1 Stephan Klauke, 3 Markus Bickel, 3 Caroline A. Sabin, 1,2 Hans Wilhelm Doerr, 4 Margaret A. Johnson, 1 Clive Loveday, 1 and Veronica Miller, 3,a for the Royal Free Centre for HIV Medicine and the Goethe Universität Clinic Cohort b 1 Royal Free Centre for HIV Medicine and 2 Department of Primary Care and Population Sciences, Royal Free and University College Medical School, London, United Kingdom; 3 Goethe Universität Clinic and 4 Institute of Medical Virology, Goethe Universität, Frankfurt, Germany This study evaluated 1433 human immunodeficiency virus (HIV) infected patients starting highly active antiretroviral therapy (HAART), 409 (28%) of whom had prior nucleoside experience and achieved an HIV load of!400 copies/ml by 24 weeks of therapy. Three hundred seven patients experienced virus rebound during a total of 2773.3 person-years of follow-up. There was a higher rate of virus rebound among the patients with pre-haart nucleoside experience (relative hazard [RH], 2.86; 95% confidence interval, 2.22 3.84; P!.0001) and a decreasing rate of virus rebound with increasing duration of virus suppression (i.e., time since achieving a virus load of!400 HIV RNA copies/ml) among both the nucleoside-experienced and naive patients ( P!.0001), but the difference between the groups persisted into the third year of follow-up ( P p.0007). Even patients who had experienced!2 months of nucleoside therapy before beginning HAART had an increased risk of virus rebound (RH, 1.95; P p.009). It appears that only a small period of pre-haart nucleoside therapy is sufficient to confer a disadvantage, in terms of risk of virus rebound, that persists for several years. Human immunodeficiency virus (HIV) infected patients who experience monotherapy or dual therapy with nucleosides before receiving highly active antiretroviral therapy (HAART) tend to experience a poorer virus load response, compared with patients who are drug naive at the time of starting HAART [1 7]. Even for patients in whom virus suppression to below the limit of assay quantification is initially achieved, the subsequent rate of virus rebound is higher among nucleoside-experienced patients. To investigate the phenomenon in more detail, we combined data for patients starting HAART regimens Received 31 January 2002; revised 3 May 2002; electronically published 30 September 2002. Presented in part: 8th European Conference on Clinical Aspects and Treatment of HIV Infection, Athens, 28 31 October 2001 (abstract 27). Financial support: Medical Research Council, United Kingdom (cooperative group grant G0000130). This study was done according to the local guidelines for obtaining informed consent applicable to the participating clinics. a Present affiliation: Forum for Collaborative HIV Research, Center for Health Services Research and Policy, George Washington University, Washington, DC. b Study group members are listed after the text. Reprints or correspondence: Prof. Andrew N. Phillips, Dept. of Primary Care and Population Sciences, Royal Free and University College Medical School, Royal Free Campus, Rowland Hill St., London NW3 2PF, United Kingdom (a.phillips@pcps.ucl.ac.uk). The Journal of Infectious Diseases 2002;186:1086 91 2002 by the Infectious Diseases Society of America. All rights reserved. 0022-1899/2002/18608-0005$15.00 in 2 large clinic cohorts. We aimed (1) to estimate over what periods of prolonged virus suppression during HAART the difference in rebound rate between naive and nucleoside-experienced patients persists and (2) to assess how the rate of rebound relates to the length of prior nucleoside experience, whether the nucleosides are changed at start of HAART, and whether there was prior use of monotherapy or dual therapy or both. Methods The Goethe Universität Clinic (Frankfurt, Germany) and the Royal Free Clinic (London, United Kingdom) cohorts collect data as a part of routine care of patients with HIV who attend these clinics [5, 8]. The available data include demographics, HIV exposure information, detailed treatment history, CD4 cell counts, and plasma virus load, in addition to occurrences of all AIDSdefining diseases. For this analysis, we selected all patients who started their first HAART regimen and achieved virus suppression, defined as a virus load of!400 HIV RNA copies/ml (measured using a Roche polymerase chain reaction based method [Roche Molecular Systems]), by 24 weeks. HAART was defined as a 3- drug regimen, including 2 non-abacavir nucleosides plus at least either a protease inhibitor, a nonnucleoside reverse-transcriptase inhibitor, or abacavir. Virus rebound was defined as 2 consecutive virus load measurements of 1400 HIV RNA copies/ml, with the date of rebound being the date of the first of these measurements. If a patient was known to have interrupted or stopped all antiretroviral therapy at

JID 2002;186 (15 October) Virus Rebound according to Pre-HAART Nucleoside Use 1087 Table 1. Demographic characteristics of the 1433 patients included in the Royal Free Centre for HIV Medicine and Goethe Universität Clinic cohorts. Characteristic All patients Naive patients (n p 1024) Nucleoside experienced patients (n p 409) Location Frankfurt 954 (66) 703 (69) 251 (61) London 479 (33) 321 (31) 158 (39) Female 327 (23) 232 (23) 95 (23) Route of HIV exposure Homosexual sex/men 763 (53) 535 (52) 228 (56) IDU 166 (12) 120 (12) 46 (11) Heterosexual sex 413 (29) 300 (29) 113 (28) Other 91 (6) 69 (7) 22 (5) Age, median years (25th 75th percentiles) 36 (31 43) 36 (31 42) 36 (31 44) CD4 cell count at beginning of HAART, median cells/mm 3 (25th 75th percentiles) 189 (80 309) 200 (79 317) 162 (80 293) Virus load at beginning of HAART, median 10 3 copies/ml (25th 75th percentiles) 135 (35 470) 195 (55 575) 43 (8 185) Specific non-abacavir nucleosides Zidovudine/lamivudine 813 (57) 674 (67) 139 (34) Stavudine/lamivudine 377 (26) 225 (22) 152 (37) Stavudine/didanosine 141 (10) 54 (5) 87 (21) Other 102 (7) 71 (6) 31 (8) Other drugs Abacavir 179 (13) 166 (16) 13 (3) Nevirapine 294 (21) 186 (18) 108 (26) Efavirenz 167 (12) 156 (15) 11 (3) Indinavir 475 (33) 303 (30) 172 (42) Ritonavir 227 (16) 166 (16) 61 (15) Nelfinavir 243 (17) 196 (19) 47 (12) Saquinavir 54 (4) 36 (4) 18 (4) NOTE. Data are no. (%) of patients, except where noted. HAART, highly active antiretroviral therapy; HIV, human immunodeficiency virus; IDU, injection drug use. the time of the virus load rebound, his or her follow-up was rightcensored at this point, and, thus, the patient was not considered to have a virus rebound end point. From 1998, virus load was measured with an assay with a lower quantification limit of 50 HIV RNA copies/ml, instead of 400 HIV RNA copies/ml, so we also analyzed a subgroup of patients who were known to have achieved a virus load of!50 HIV RNA copies/ml. Kaplan-Meier plots and log-rank tests were used to describe and compare the proportions of patients with virus rebound over time. Cox models were used to consider the independent effect of various factors on the risk of virus rebound. We also calculated the incidence rates of virus rebound (number of patients with rebound/ number of person-years at risk) in different periods of follow-up and according to prior nucleoside experience. Differences between groups were assessed using Poisson regression [9]. Statistical analysis was done using SAS software (version 6.12; SAS Institute). Results In total, 1433 patients were included in the analysis. Details of the demographic breakdown, virus load, and CD4 cell count at the start of HAART and of the drugs in the HAART regimen are given in table 1. Although, in most cases, the non-abacavir nucleoside drugs in the HAART regimen were lamivudine and either zidovudine or stavudine, the other drugs in the regimen were diverse, with indinavir, used by 475 patients (33%), being the most common; 1024 patients (72%) were drug naive at the start of HAART. Details of previous therapy for the 409 patients (28%), who had experienced nucleosides, are given in table 2. Among these 409 patients, antiretroviral therapy was started a median of 15 months before HAART, but with only a median of 10 of these months actually spent receiving therapy. One hundred twenty-eight patients (31%) had stopped the nucleoside therapy by the time HAART was initiated; 31 (8%) had stopped for 11 year. Most patients had experienced dual nucleoside therapy, about half of whom also had experienced a period of monotherapy; 60% (245) of patients had experienced only 1 or 2 nucleosides, but 17% (70) had experienced 4. Nearly half ( n p 193 [47%]) did not start a new, non-abacavir nucleoside when initiating HAART; only 94 (23%) started 2 new, non-abacavir nucleosides. We also looked at the median date of starting HAART and the percentage who had interrupted nucleoside therapy prior to starting HAART. For patients with 5 years of nucleoside therapy, the median date of starting HAART was November 1996, with 33% interrupting therapy; for those with 3 5 years of nucleoside therapy, the median date of starting HAART was March 1997, with 30% interrupting therapy; for those with 2 3 years of nucleoside therapy, the median date of starting HAART was April 1997, with 29% interrupting therapy; for those with 1 2 years of

1088 Phillips et al. JID 2002;186 (15 October) nucleoside therapy, the median date of starting HAART was June 1997, with 30% interrupting therapy; for those with 6 12 months of nucleoside therapy, the median date of starting HAART was January 1997, with 31% interrupting therapy; for those with 2 6 months of nucleoside therapy, the median date of starting HAART was December 1996, with 36% interrupting therapy; and for those with 12 months of nucleoside therapy, the median date of starting HAART was August 1997, with 24% interrupting therapy. Overall, there was a median of 1.65 years of follow-up among the 1433 patients before virus rebound occurred or, if rebound did not occur, before the last virus load was measured; there were 2773.3 person-years in total. Virus load was measured with a median frequency of 4.3 times/year in the Royal Free Clinic cohort and 7.5 times/year in the Goethe Universität Clinic Cohort. Figure 1 shows the Kaplan-Meier estimates of the percentage of patients with virus rebound, by years from initial virus load suppression to!400 HIV RNA copies/ml, according to prior nucleoside experience; 307 patients experienced virus rebound. There was a markedly higher percentage of patients who experienced virus rebound among the patients with prior nucleoside experience, compared with those who were drug naive at the start of HAART ( P!.0001, log rank test). It also appears from these results that there is a decreasing tendency for virus rebound with increasing duration of virus suppression. This can be seen more clearly in table 3, which shows rates of virus rebound according to the time since virus load declined to!400 HIV RNA copies/ml and prior nucleoside experience. Among both naive and nucleoside-experienced patients, there is a highly significant trend toward a lower rate of virus rebound with increasing duration of virus suppression ( P!.0001). Table 3 also shows rate ratios for each category of time with virus suppression. There is a statistically significantly higher rate of rebound among nucleoside-experienced patients even after 2 3 years of virus suppression. There remains a lower rate in naive patients after year 3, but this result was not statistically significant, so it is not possible to say whether the difference in rebound rate persists for this length of time. We fitted a Cox model to assess factors associated with virus rebound. For this model, time zero was the date of virus suppression to!400 HIV RNA copies/ml (as in the Kaplan-Meier plot in figure 1). The effect of the duration of virus suppression was not assessed directly, but this effect is incorporated within the underlying hazard function of the Cox model. Other variables included were specific drugs in the regimen, age, risk group, calendar year, and sex. Nucleoside experience status (naive vs. experienced) was significantly associated with the rate of rebound after adjustment for these other covariates (relative hazard, [RH], 2.86 for nucleoside-experienced patients, compared with naive patients; 95% confidence interval [CI], 2.22 3.84; P!.0001). Additional adjustment for the virus load at start of HAART (RH, 1.1 per 1 log higher; P p.2), CD4 cell Table 2. Characteristics of the 409 nucleoside-experienced patients in the Royal Free Centre for HIV Medicine and Frankfurt Clinic cohorts. Characteristic Value Time since start of antiretroviral therapy, median months (25th 75th percentiles) 15 (7 36) Duration of nucleoside use, median months (25th 75th percentiles) 10 (4 26) Not receiving therapy 128 (31) Not receiving therapy for 112 months 31 (8) Therapy experienced Monotherapy only 29 (7) Dual therapy only 172 (42) Both monotherapy and dual therapy 208 (51) No. of nucleosides ever experienced 1 29 (7) 2 216 (53) 3 94 (23) 4 70 (17) No. of new nucleosides started, excluding abacavir 0 193 (47) 1 122 (30) 2 94 (23) Specific drugs Zidovudine 373 (91) Didanosine 74 (18) Zalcitabine 161 (39) Stavudine 126 (31) Lamivudine 297 (73) NOTE. Data are no. (%) of patients, except where noted. count at the start of HAART (RH, 0.83 per 100 cells/mm 3 higher; P!.0001), and CD4 cell count at the time virus suppression was achieved (RH, 0.88 per 100 cells/mm 3 higher; P!.0001) made almost no difference to this estimate; the latter 2 variables were not included in the same model because they are highly correlated. In a further model, we categorized the nucleoside-experienced patients according to the length of previous nucleoside experience. RHs after adjustment for other factors in the model are shown in figure 2. There was a 1.96- fold (95% CI, 1.19 3.23; P p.009) increased risk of rebound, even for the group of patients ( n p 62) who had experienced!2 months of nucleoside therapy before beginning HAART. There was no apparent trend for increasing RH after 6 months of pre-haart nucleoside experience. We also fitted a Cox model in which time zero was 1 January 1995, so that the time with virus suppression could be assessed. Follow-up times were left-truncated until the date the patient achieved virus suppression. This confirmed that the association between the duration of virus suppression and the rate of rebound was independent of the other covariates mentioned above ( P!.0001). Further Cox models were fitted for the nucleoside-experienced patients only. Covariates considered included the number of new nucleosides (i.e., drugs that the patient had never taken before) started at the time of HAART, whether the nucleosides had been stopped at the time of starting HAART, the number of prior nucleosides experienced, and whether monotherapy only, dual therapy only, or both had been used. None of these

JID 2002;186 (15 October) Virus Rebound according to Pre-HAART Nucleoside Use 1089 Figure 1. Kaplan-Meier estimates of the percentage of subjects with human immunodeficiency virus (HIV) rebound, by the duration of virus suppression (i.e., time since achieving a virus load of!400 HIV RNA copies/ml) during highly active antiretroviral therapy (HAART), according to pre-haart nucleoside experience. covariates was significantly associated with the rate of virus rebound. In a model that included only drug-naive patients and those nucleoside-experienced patients for whom 2 new nucleosides were started at the start of HAART, there was a significantly higher rate of rebound in the latter group (RH, 3.23; 95% CI, 1.96 5.00; P!.0001). We also assessed the RH of virus rebound to 1400 HIV RNA copies/ml associated with nucleoside experience status in the subgroup of 848 patients (105 with rebound) for whom a virus load of!50 HIV RNA copies/ml was measured. A similar value was found as in the main analysis (RH, 3.33; 95% CI, 2.13 5.26; P!.0001). Discussion It is well established that patients who had previously taken nucleoside monotherapy or dual therapy before starting HAART tend to experience a poorer virologic response to HAART [1 7], which is thought to relate to build-up during nucleoside therapy of virus subspecies that are partially resistant to drugs in the HAART regimen [10, 11]. This phenomenon has been illustrated in the Merck 035 trial [12], in which patients randomly assigned to receive indinavir alone or zidovudine plus lamivudine before starting HAART with the 3 drugs together experienced a poorer long term virologic response than did patients who initiated all 3 drugs simultaneously. Our results extend earlier findings in several ways. First, we have confirmed that, even among patients who have achieved virus suppression, there is a greater tendency for virus rebound to occur among patients with pre-haart nucleoside experience, compared with patients who are drug naive. This may relate to the presence of archived virus subspecies that are partially or wholly resistant to the HAART regimen. Such archives exist, for example, in long-lived latently infected cells [13]. Per- Table 3. Human immunodeficiency virus (HIV) rebound, by the duration of virus suppression (i.e., virus load!400 HIV RNA copies/ml) and prior nucleoside experience. Characteristic Data, by duration of virus suppression, years!1 1 2 2 3 3 P for trend over time Patient group Naive 91/850.4 (0.107) 25/548.5 (0.046) 9/337.2 (0.027) 7/214.0 (0.033)!.0001 Nucleoside experienced 128/314.0 (0.408) 23/205.0 (0.112) 17/156.9 (0.108) 7/147.3 (0.048)!.0001 Comparison, rate ratio (P) 3.81 (!.0001) 2.44 (.002) 4 (.0007) 1.46 (.48) NOTE. Data are no. of patients experiencing virus rebound/no. of person-years of experience (yearly rate of virus rebound), except where noted.

1090 Phillips et al. JID 2002;186 (15 October) Figure 2. Relative hazards (RHs) of human immunodeficiency virus (HIV) rebound after suppression to!400 HIV RNA copies/ml during highly active antiretroviral therapy (HAART), according to the duration of nucleoside experience before HAART, adjusted for specific drugs in the regimen, age, risk group, calendar year, and sex. Bars represent 95% confidence intervals. haps only when such cells become activated at some point in time will the resistant virus they harbor be released. Although relatively few nucleoside experienced patients in our analysis started 2 new nucleoside drugs at the time of starting HAART ( n p 94), we found that, even in this group, there was a higher rate of virus rebound than among patients who were nucleoside naive when starting HAART. This perhaps suggests that there is more cross-resistance between nucleoside analogue drugs than has been appreciated. The difference in rate of virus rebound we observed between pre-haart nucleoside-experienced and naive patients likely is related to the nucleoside experience itself and not to some other confounding factor that is different between the 2 groups. This is because the effect is very large and highly significant; the difference in initial virus load response to therapy has been observed in many studies [1 7], and a likely underlying mechanism (resistance) has been identified. Furthermore, all patients in both groups appear to have been at least initially adherent to therapy, because an initial virus load response was achieved, so major confounding due to differences in adherence seems to be improbable. We also found that the difference persisted (and was not diminished) after adjustment for calendar period, specific drugs used, age, HIV risk group, and sex. The second key finding is that there is some increased risk of virus rebound present, even among patients with!2 months of prior nucleoside experience before starting HAART. This finding may indicate that there is a rapid time scale over which archives of resistant virus could accumulate, but, whatever the underlying reason, the finding may have consequences for the use of shortterm monotherapy regimens in pregnant women [14]. This finding also suggests that clinical trials of drug-naive individuals that allow participants to have 1 6 months of prior experience with zidovudine monotherapy or other nucleosides may result in underestimation of the effect of regimens in truly naive individuals. Although we have only been able to ascertain that!2 months of pre-haart nucleoside therapy is sufficient to lead to a disadvantage in terms of long-term risk of virus rebound, with more data on a larger number of individuals with short periods of pre- HAART nucleoside therapy, it may be possible in future analyses to further characterize how many weeks of such therapy are sufficient to produce this disadvantage. It is unclear to what degree interpretation of our findings can be extended to situations where short periods of monotherapy of drugs other than nucleosides are given before HAART, but this does happen as part of development of these new drugs, in order to isolate the effect of such drugs. A third important finding is that, among both naive and nucleoside-experienced patients, there is a decreasing rate of virus rebound with increasing duration of virus suppression. This had previously been shown for naive patients starting HAART in the Goethe Universität cohort [15]. There could be several explanations for this. There could be some kind of selection effect, whereby patients who are most adherent to therapy, who experience the least degree of drug toxicity, who achieve the most consistently high drug levels, who have the fewest preexisting mutations associated with drug resistance, or who have some other biological advantage are gradually selected out. Another possible explanation is that the declining rate reflects a declining rate of appearance of new productively infected cells, perhaps as the pool of latently infected cells becomes reduced in size. However, the rate of decline in the pool of latently infected cells has been found to be very small [13]. Finally, despite the decreasing tendency for virus rebound over time, the disadvantage experienced by patients who had taken prior nucleoside therapy appears to last for at least up to 3 years with virus suppression, perhaps longer. This would be consistent with the concept that the archived resistant virus in nucleoside-experienced patients is in cells that may not become activated and release virus for at least 3 years. This is certainly consistent with estimates of the life-span of such cells [13]. Indeed, those estimates would lead to the prediction that the disadvantage for nucleoside-experienced patients will last considerably longer than 3 years. In summary, the rate of rebound declines substantially over increasing time with virus suppression during HAART in both nucleoside-experienced and naive patients. However, the markedly increased rate of virus rebound experienced by patients who took nucleosides before receiving HAART persists even after up to 3 years of prolonged virus suppression. This disadvantage seems to be apparent even among patients with!2 months of prior nucleoside use before beginning HAART. Royal Free Centre for HIV Medicine and Goethe Universität Clinic Cohort Study Group Members Royal Free Centre for HIV Medicine. Biostatistics and epidemiology: Andrew Phillips, Caroline Sabin, Amanda Mocroft, Antonia Moore, Alessandro Cozzi Lepri, Fiona Lampe,

JID 2002;186 (15 October) Virus Rebound according to Pre-HAART Nucleoside Use 1091 Lucy Paddam, Colette Smith, and Clinton Chaloner. Clinical and clinical trials: Margaret Johnson, Marc Lipman, Mike Youle, Simon Barry, Tony Drinkwater, Sara Madge, Zuber Mitchla, and Mervyn Tyrer. Hemophilia: Christine Lee and Thynn Thynn Yee. Immunology: George Janossy and Sabine Kinloch-de Loes. Infectious Diseases: Mike Jacobs and Ali Zumla. Medical microbiology: Stephen Gillespie. Prevention and behavior change: Lorraine Sherr and Graham Bolding. Retrovirology: Clive Loveday. Virology: Paul Griffiths, Vince Emery, and Jane Deayton. Goethe Universität Clinic Cohort. Markus Bickel, Amina Carlebach, Brenda Dauer, Peter Gute, Annette Haberl, Stephan Klauke, Eilke B. Helm, Leo Locher, Thomas Lutz, Manfred Mösch, Axel Müller, Schlomo Staszewski, and Christof Stephan. Virology and genotyping: Hans-Wilhelm Doerr and Martin Stürmer. References 1. Ledergerber B, Egger M, Opravil M, et al. Clinical progression and virological failure on highly active antiretroviral therapy in HIV-1 patients: a prospective cohort study. Lancet 1999;353:863 8. 2. Paredes R, Mocroft A, Kirk O, et al. Predictors of virological success and ensuing failure in HIV-positive patients starting highly active antiretroviral therapy in Europe: results from the EuroSIDA study. Arch Intern Med 2000;160:1123 32. 3. Wit FWNM, van Leeuwen R, Weverling GJ, et al. Outcome and predictors of failure of highly active antiretroviral therapy: one-year follow-up of a cohort of human immunodeficiency virus type 1 infected persons. J Infect Dis 1999;179:790 8. 4. Grabar S, Pradier C, Le Corfec E, et al. Factors associated with clinical and virological failure in patients receiving a triple therapy including a protease inhibitor. AIDS 2000;14:141 9. 5. Staszewski S, Miller V, Sabin CA, et al. Virological response to protease inhibitor therapy in an HIV clinic cohort. AIDS 1999;13:367 73. 6. Marimoutou C, Chene G, Mercie P, et al. Prognostic factors of combined viral load and CD4 cell count responses under triple antiretroviral therapy, Aquitaine cohort, 1996 1998. J Acquir Immune Defic Syndr 2001; 27:161 7. 7. Mocroft A, Gill MJ, Davidson W, Phillips AN. Predictors of viral response and subsequent virological treatment failure in patients with HIV starting a protease inhibitor. AIDS 1998;12:2161 7. 8. Mocroft A, Youle M, Moore A, et al. Reasons for modification and discontinuation of antiretrovirals: results from a single treatment centre. AIDS 2001;15:185 94. 9. Clayton D, Hills M. Statistical models in epidemiology. Oxford: Oxford University Press, 1993. 10. Bonhoeffer S, May RM, Shaw GM, Nowak MA. Virus dynamics and drug therapy. Proc Natl Acad Sci 1997;94:6971 6. 11. Phillips AN, Youle M, Johnson M, Loveday C. Use of a stochastic model to develop understanding of the impact of different patterns of antiretroviral drug use on resistance development. AIDS 2001;15:2211 20. 12. Gulick RM, Mellors JW, Havlir D, et al. Simultaneous vs. sequentialinitiation of therapy with indinavir, zidovudine, and lamivudine for HIV-1 infection 100-week follow-up. JAMA 1998;280:35 41. 13. Finzi D, Blankson J, Siliciano JD, et al. Latent infection of CD4 T cells provides a mechanism for lifelong persistence of HIV-1, even in patients on effective combination therapy. Nat Med 1999;5:512 7. 14. Public Health Service Task Force. Recommendations for the use of antiretroviral drugs in pregnant HIV-1 infected women for maternal health and interventions to reduce perinatal HIV-1 transmission in the United States. Available at http://www.hivatis.org. Accessed 24 April 2002. 15. Phillips AN, Miller V, Sabin CA, et al. Durability of HIV-1 viral suppression over 3.3 years with multi-drug antiretroviral therapy in previously drugnaive individuals. AIDS 2001;15:2379 84.