Library Volume 2, Issue 1:
Resistance Reporter© 2008 Conference on Retroviruses and
Opportunistic Infections (CROI)
Selections from the 2008 Conference on Retroviruses and Opportunistic
Infections (CROI)
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Section 1: Select presentations concerning the virologic
success/failure of second-line therapy and further analyses of
adherence from the CPCRA FIRST Study with a focus on class-specific
resistance
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Section 2: Select presentations on the relevance of detecting
minority variants and the comparative utility of 2 tropism tests
Select presentations concerning the
virologic success/failure of second-line therapy and further analyses of
adherence from the CPCRA FIRST Study with a focus on class-specific
resistance
Although current treatment guidelines
advocate modifying HAART as soon as virologic failure is detected, the
opportunity to change therapy can often be delayed. To determine the
consequences of such lags in therapy optimization, this study pooled
data from 2 prospective cohorts (Johns Hopkins, University of North
Carolina) to determine the impact of delayed regimen modification
following failure of first-line HAART on mortality and immunologic
failure and compared the effect of delayed modification between PI-based
and non-PI-based regimens. Virologic failure was defined as 2
consecutive HIV RNA measurements above a time-dependent threshold:
greater than 1000 copies/mL during Weeks 12-24 and/or greater than 500
copies/mL thereafter. Of the 982 patients included in the study, 76%
failed a PI-based, first-line HAART regimen; 32% of these individuals
also received ritonavir boosting. At the time of first HAART failure,
the individuals in each of the cohorts, segregated by first-line PI use
versus non-PI use, had a median age of 39-41 years, 62%-73% were male,
the median most recent viral load measurement ranged from 3.9-4.5 log10
copies/mL, and the median most recent CD4+ cell count ranged from
182-332 cells/mm3. Delayed treatment modification was
associated with an increased risk of death (HR: 1.23; 95% CI: 1.08-1.40;
P = .002 for every 3 months delay) and immunologic failure or
death (HR: 1.21; 95% CI: 1.07-1.36; P = .002 for every 3 months
delay) among individuals who initially received a non-PI-based regimen.
In contrast, delayed regimen modification showed a slight protective
effect with regard to death (HR: 0.93; 95% CI: 0.87-0.99; P =
.03) and no association with immunologic failure or death (HR: 0.98; 95%
CI: 0.94-1.03; P = .45) among patients who initially failed a
PI-based regimen. Trends were similar when separate analyses were
conducted for the 2 independent cohorts, following 2nd HAART failure,
and after excluding subjects on nonboosted PI regimens or with no
history of antiretroviral use before HAART. Weighted data-adaptive
regression analyses showed that the longer the delay after failure of a
non-PI-based regimen, the sharper the increase in the mortality hazard,
which then remained consistently elevated following regimen
modification. In contrast, the mortality hazard increased gradually
among patients failing a PI-based regimen, with little apparent
short-term differences between individuals who had their therapy
modified early versus late. The authors concluded that delaying
treatment modification after failure of NNRTI-based HAART is associated
with an increased risk of disease progression, whereas PI-based regimens
are less dependent on early versus delayed switching strategies.
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The CPCRA 058 FIRST study was designed to
compare long-term clinical outcomes among 1397 treatment-naive
individuals randomized to begin therapy with a regimen containing an
NNRTI, a PI, or both. The current study was a subanalysis of 903
patients in the NNRTI arm (n = 446) and the PI arm (n = 457) that
focused on the relationship between adherence and class-specific
genotypic resistance at the time of first virologic failure (HIV-1 RNA >
1000 copies/mL at Month 4 or thereafter). Adherence was assessed using
the 7-day CPCRA Adherence Self-Report Form at Months 1, 4, and every 4
months thereafter. At baseline, patients had a median age of 38 years,
78% were male, the median viral load was 5.1 log10 copies/mL,
and the median CD4+ cell count was 166 cells/mm3. Among
patients in the PI arm, 74% initiated treatment with an unboosted PI
regimen, whereas only 26% received a boosted PI regimen, which is the
current standard. Virologic failure was significantly more common among
individuals on PI-based therapy versus NNRTI-based therapy (71% vs 59%;
P < .01). The median time to virologic failure was also
significantly shorter for individuals on PI-based therapy versus NNRTI-based
therapy (1.2 vs 3.0 years; P < .01). Despite these differences,
the median cumulative adherence score at the time of virologic failure
or censoring was comparable between the 2 respective groups (92% vs 93%;
P = .98). In addition, similar proportions of PI- and NNRTI-treated
individuals had evidence of no resistance (70% vs 72%), resistance to 1
drug class (21% vs 17%), or resistance to 2-3 drug classes (9% vs 11%;
P = .19 overall) at the time of virologic failure. The NNRTI
arm showed an inverse relationship between adherence and the risk of
virologic failure with the presence of NNRTI resistance (HR per 10%
decrease in cumulative mean adherence score: 1.24; 95% CI: 1.14-1.34),
whereas no association was found between adherence and the risk of
virologic failure with the presence of PI resistance in the PI arm (HR
per 10% decrease in cumulative mean adherence score: 1.09; 95% CI:
0.88-1.36). However, poorer adherence was associated with an increased
risk of NRTI resistance at virologic failure in both the NNRTI (HR per
10% decrease in cumulative mean adherence score: 1.19; 95% CI:
1.06-1.34) and PI arms (HR per 10% decrease in cumulative mean adherence
score: 1.28; 95% CI: 1.18-1.38). Patients who initiated treatment with a
boosted PI versus an unboosted PI were less likely to develop PI
resistance (2% vs 10%; P < .01) or NRTI resistance (19% vs 29%;
P = .03). On-treatment findings were similar to those of the
intent-to-treat analysis.
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RELATED ARTICLES:
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Battegay M, Fluckiger U, Hirschel B,
Furrer H.
Late presentation of HIV-infected individuals. Antivir Ther.
2007;12:841-851.
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Reed J, McNaghten A, Bertolli J, Teshale
E, Gardner L, Sullivan P.
Factors associated with late entry into HIV medical care among
HIV-infected persons from 16 states, US, 2000-2004. Program and
abstracts of the XVI International AIDS Conference; August 13-18,
2006; Toronto, Canada. Abstract MOPE0475.
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Mwamburi M, Macalino G, Griffith J, et
al.
Immediate versus delayed modified directly observed HAART therapy
(MDOT): a cost-effectiveness analysis from the adherence to
antiretroviral therapy for substance abusers (AARTS) study.
Program and abstracts of the XVI International AIDS Conference;
August 13-18, 2006; Toronto, Canada. Abstract TUPDB05.
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MacArthur RD, Novak RM, Peng G, et al.
A comparison of three highly active antiretroviral treatment
strategies consisting of non-nucleoside reverse transcriptase
inhibitors, protease inhibitors, or both in the presence of
nucleoside reverse transcriptase inhibitors as initial therapy
(CPCRA 058 FIRST Study): a long-term randomised trial. Lancet.
2006;368:2125-2135.
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von Wyl V, Yerly S, Böni J, et al, for
the Swiss HIV Cohort Study.
Emergence of HIV-1 Drug Resistance in Previously Untreated Patients
Initiating Combination Antiretroviral Treatment: A Comparison of
Different Regimen Types
Arch Intern Med, Sep 2007; 167: 1782 - 1790.
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Kozal MJ, Hullsiek KH, Macarthur RD, et
al.
The incidence of HIV drug resistance and its impact on progression
of HIV disease among antiretroviral-naïve participants started on
three different antiretroviral therapy strategies. HIV Clin
Trials. 2007;8:357-370.
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Gardner EM, Sharma S, Peng G, et al.
Differential adherence to combination antiretroviral therapy is
associated with virological failure with resistance. AIDS.
2008;22:75-82.
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Bangsberg DR, Acosta EP, Gupta R, et al.
Adherence-resistance relationships for protease and non-nucleoside
reverse transcriptase inhibitors explained by virological fitness.
AIDS. 2006;20:223-231.
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Select presentations on the relevance of
detecting minority variants and the comparative utility of 2 tropism
tests
Commercially available bulk sequencing
assays are unable to detect minority resistant variants with a
prevalence below 20% of the total viral population. Ultra-deep
sequencing uses parallel pyrosequencing technology to generate thousands
of single-genome sequences from each sample assessed, thereby allowing
for rapid and sensitive identification of minority resistant variants.
The current study assessed a random subset of 504 patients who
participated in the CPCRA 058 FIRST study to: (1)determine the baseline
prevalence of low-abundance drug-resistant variants using ultra-deep
sequencing, (2) compare the prevalence of baseline mutations identified
by standard versus ultra-deep sequencing, and (3) determine the
influence of baseline minority variants identified using ultra-deep
sequencing on the response to NNRTI-, PI- or NNRTI+PI-based therapy. Of
258 samples with both standard and ultra-deep sequencing results, ultra-deepsequencing
identified twice as many patients harboring minority resistant variants
with at least 1 mutation in any class as standard sequencing (28.3% vs
13.6%; P < .001). This trend held true when broken down by the
presence of at least 1 resistance mutation within the NRTI (14.0% vs
6.2%; P < .001), NNRTI (15.1% vs 6.6%; P < .001), and
PI (4.7% vs 2.3%; P = .03) classes. The majority of the
variants identified by ultra-deep sequencing comprised only 1%-20% of
the total viral population. Among patients who initiated treatment with
NNRTI-based therapy, individuals with a minority variant harboring at
least 1 NNRTI resistance mutation at baseline had a 3.1-fold higher risk
of virologic failure versus those without (P = .0001), while
individuals with a minority variant with an NNRTI or NRTI resistance
mutation at baseline had a 1.8-fold higher risk of virologic failure
versus those without (P = .04). No significant correlation
between the presence of minority resistant variants with any mutation in
any class at baseline and virologic failure was identified for patients
who initiated PI-based therapy. Among patients who initiated treatment
with NNRTI+PI-based therapy, individuals with a minority variant with a
PI mutation at baseline had a 7.2-fold higher risk of virologic failure
versus those without (P = .003), although only 3 individuals
comprised this group. Overall, the rate of virologic failure was
highest for individuals harboring minority resistant variants (with any
mutation) present at a prevalence of 1%-20% as opposed to individuals
with no detectable mutations or with variants present at a prevalence
greater than 20% (38.9% vs 26.5% and 18.1%, respectively; P =
.09). This trend was observed within each individual treatment arm as
well. According to the investigators, use of ultra-deep sequencing to
determine baseline mutation patterns may be useful for guiding regimen
selection to reduce the risk of treatment failure.
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CROI Abstract #83, Paredes R et al.
Detectable NNRTI resistance at baseline can
dramatically increase the risk of virologic failure to efavirenz-based
HAART, but the clinical significance of minority NNRTI-resistant
variants is unknown. The current case-cohort substudy of ACTG 5095
assessed the relationship between pre-existing minor NNRTI-resistant
variants and the efficacy of efavirenz-based HAART in treatment-naïve
patients who were previously determined to be resistance free by bulk
sequencing before treatment initiation. Previous findings from ACTG 5095
established that the 2 efavirenz-based regimens (zidovudine/lamivudine +
efavirenz, zidovudine/lamivudine/abacavir + efavirenz) were superior to
the non-efavirenz-based regimen (zidovudine/lamivudine/abacavir). A
total of 322 efavirenz-treated patients comprised the case-cohort
sample. A total of 178 of these individuals had experienced virologic
failure (HIV-1 RNA ≥ 200 copies/mL at Week 16 or thereafter); 144 had
not. Among a random cohort of 220 (195 evaluable) efavirenz-treated
patients from the total case-cohort sample, 12 individuals (5%) were
determined to harbor NNRTI resistance at baseline by bulk sequencing.
The remaining 183 patients were determined to be resistance free and
underwent more intensive allele-specific PCR to identify the presence of
minor variants with K103N (detection threshold: 0.001%-0.003%) and/or
Y181C (detection threshold: 0.03%). Allele-specific PCR revealed
minority variants with K103N, Y181C, and K103N + Y181C in 4.4%, 29.5%,
and 6%, respectively. These minority variants represented less than 1%
of all viral quasispecies. The presence of minority Y181C variants was
significantly more common in patients with virologic failure versus
without (58% vs 29%; P = .001); this held true for subjects
with a baseline viral load below 100,000 copies/mL as well as for those
with a baseline viral load above 100,000 copies/mL. The presence of
minority Y181C variants was associated with a 3.57 (95% CI: 1.98-6.42)
increased risk of virologic failure to efavirenz-based therapy in
patients with recent treatment adherence; the hazard ratio increased
slightly to 6.09 (95% CI: 2.83-13.1) for those with poor recent
adherence. Despite this, some individuals with minority Y181C variants
still achieved long-term virologic control with efavirenz-based therapy.
The presence of pre-existing minority K103N variants was not
significantly associated with an increased risk of virologic failure
(HR: 1.58; 95% CI: 0.76-3.28), but the investigators speculated that
this may have been due to the fact that a very small number of
individuals harbored minority K103N variants.
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CROI Abstract #920a, Tressler R et al.
Trofile™
is a phenotypic tropism assay that has been used to determine candidacy
for CCR5 antagonists in several major clinical studies performed to
date. In the MOTIVATE 1 and 2 clinical trials, 8%-10% of
treatment-experienced patients had discordant tropism results when the
Trofile™ assay was performed at screening and then again at
baseline 4-6 weeks later. The new, commercially available SensiTrop™
assay uses molecular heteroduplex tracking to determine viral tropism
(assignment as R5 or dual/mixed only) and reportedly has a high degree
of sensitivity. The current study compared the performance of the
Trofile™ and SensiTrop™ assays using 100 stored samples
from the multinational maraviroc expanded access program. The
SensiTrop™ assay characterized a higher proportion of the screening
samples as having R5 virus and a lower proportion as having dual/mixed
virus in comparison with the Trofile™ assay. At screening,
Trofile™ identified 52 individuals with R5 virus, 39 with
dual/mixed or X4 virus, and 9 with nonreportable samples. In comparison,
SensiTrop™ identified 69 individuals with R5 virus at
screening, 20 with dual/mixed virus, and 11 with nonreportable samples.
Among the 39 screening samples identified as dual/mixed or X4 according
to the Trofile™ assay, the SensiTrop™ assay classified
only 14 samples as such; 19 were scored as R5, and 6 were scored as
unreportable. Similarly, among the 8 screening samples identified as X4
according to the Trofile™ assay, the SensiTrop™ assay
classified only 4 of the samples as dual/mixed; 2 were scored as R5, and
2 were scored as unreportable. The ability of the SensiTrop™
assay to identify dual/mixed virus did not appear to be influenced by
viral load at screening. Based on those samples determined to be
dual/mixed or X4 according to the Trofile™ assay, the
SensiTrop™ assay demonstrated high specificity (92.5%; 95% CI:
84.3%-100.7%) but low sensitivity (42.5%; 95% CI: 25.6%-59.3%) for also
classifying those samples as dual/mixed, yielding positive and negative
predictive values of 82.2% and 66.4%, respectively. The authors
concluded that relative to the results obtained with the Trofile™
assay, SensiTrop™ lacks adequate sensitivity, failing to detect
dual/mixed HIV in more than 50% of samples.
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RELATED ARTICLES:
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