Declining Prevalence of HIV-1 Drug Resistance in Antiretroviral Treatment-exposed Individuals in Western Europe
Received
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July
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accepted
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November
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electronically published
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January
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. Correspondence: Andrea De Luca
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UOC Malattie Infettive Universitarie
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Azienda Ospe- daliera Universitaria Senese
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Viale M Bracci
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Siena
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Italy (deluca.andrea@ fastwebnet.it). The Journal of Infectious Diseases
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The Author 2013. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions
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HIV-1 drug resistance represents a major obstacle to
infection and disease control. This retrospective study analyzes
trends and determinants of resistance in antiretroviral
treatment (ART)-exposed individuals across 7 countries in
Europe. Of 20 323 cases, 80% carried at least one resistance
mutation: these declined from 81% in 1997 to 71% in 2008.
Predicted extensive 3-class resistance was rare (3.2%
considering the cumulative genotype) and peaked at 4.5% in 2005,
decreasing thereafter. The proportion of cases exhausting
available drug options dropped from 32% in 2000 to 1% in
2008. Reduced risk of resistance over calendar years was
confirmed by multivariable analysis.
The suppression of human immunodeficiency virus type 1
(HIV-1) replication with antiretroviral therapy (ART)
translates in clinical benefits and reduces viral transmission [1, 2].
HIV-1 drug resistance (HIVDR) can be acquired as a
consequence of incomplete viral suppression during ART and
represents a major obstacle to infection control [3, 4]. HIVDR at
failure is influenced by the type of regimen, previously
transmitted or selected resistance and testing time [5], factors that
may vary over countries.
The aims of this study are to describe the evolution of
prevalence, patterns. and determinants of HIVDR in patients
exposed to ART in several European countries between 1997
and 2008 and its impact on the activity of available drug
options.
The SEHERE database merged several projects and cohorts
within 7 countries in Western Europe (see details in [5]). All
the single data providers had previously obtained patients
informed consent, following the protocols approval by the
relevant Ethics Boards.
From each cohort, HIV-1 pol gene sequences of
ARTexperienced patients (at least 90 days of treatment) sampled
between 1997 and 2008 were collected. For a subset of
patients, only mutation strings (with respect to consensus B)
were available. One genotype per patient per calendar year
was collected. For each sequence, the corresponding patients
demographics, HIV RNA load, and CD4+ T-cell counts within
30 days of the date of genotype sample, plus information on
ART history, were matched. Viral subtype was determined by
the Rega tool [6]. Unresolved classifications were decided by
the first BLAST match upon a Los Alamos HIV-1 subtype
reference set [7].
We defined resistance mutations to an antiretroviral class
as the presence of 1 drug resistance mutation included in the
IAS-USA list [8], considering the nucleoside/tide reverse
transcriptase inhibitors (NRTI), nonnucleoside reverse
transcriptase inhibitors (NNRTI), and major resistance mutations to
the protease inhibitors (PIs). In addition, resistance mutations
to 3 classes was defined as the presence of at least one
resistance mutation in each class (major in the case of PI).
Drug resistance interpretation was performed only for cases
with viral nucleotide sequence available, using the Rega v.8.0.1
algorithm [9]. This interpretation uses a weighted output
accounting for drug susceptibility, genetic barrier, and potency:
predicted drug activity was scored 0 for all drugs to whom the
virus was interpreted as resistant, 0.25 for intermediate
resistant nevirapine and efavirenz, 0.5 for intermediate resistant
NRTIs, etravirine, and unboosted PIs, 0.75 for intermediate
resistant boosted PIs, 0.75 for susceptible NRTIs, 1 for
susceptible NNRTIs and unboosted PIs, 1.5 for susceptible boosted
PIs. Susceptibility to enfuvirtide, raltegravir, and maraviroc
was assumed to be 0 if used prior to or during resistance
testing. If the drugs had never been used before, enfuvirtide
and raltegravir were scored 1, whereas for maraviroc,
susceptibility was assumed to be 0.5 considering that about 50% of
treatment-failing patients never exposed to CCR5 receptor
antagonists carry a susceptible virus. Predicted extensive 3-class
HIVDR was defined as the absence of any fully active NRTI,
NNRTI, or PI. Exhaustion of drug options was defined as an
arithmetic sum of the weighted genotypic susceptibility score
<2, counting only drugs that were commercially available in
Europe at given calendar years (see Supplementary Figure 2
legend). For this calculation, at most one agent per drug class
was allowed within a combination, with the exception of
NRTIs, which were allowed unlimited combinations, except
stavudine + zidovudine and emtricitabine + lamivudine.
We used linear regression and logistic regression to test for
changes over calendar years of continuous or categorical
variables, respectively. Multivariable analysis was employed to
identify predictors of the presence of any major NRTI/
NNRTI/PI resistance mutation, any resistance mutation, and 3
antiretroviral class resistance, focusing on calendar year.
Separate models were fitted using either HIVDR interpreted using
the last available resistance genotype or the cumulative
genotype [10]. All analyses were performed using SPSS v.18 (SPSS
Inc, Chicago, IL).
A total of 20 323 records fulfilled the criteria and were used
for the final analysis. Country of genotyping was UK (43.4%),
Italy (36.6%), Portugal (11.2%), Germany (3.4%), Sweden
(2.5%), Spain (2.3%), and Belgium (0.7%). The predominant
gender was male (74.4%), the recorded risk factors were men
having sex with men (MSM; 36.1%), heterosexual contacts
(27.9%), injecting drug users (IDU; 15.8%), transfusion of
blood products or vertical transmission (1.7%), and unknown
(18.5%); viral subtypes were predominantly B (64.8%),
followed by G (3.7%), C (2.7%), CRF 02_AG (1.8%); and other
(16.2%) , whereas for 10.8% subtyping was not possible. At
genotyping, the median age (interquartile range [IQR]) was
40.1 years (35.345.6), median CD4 cell count was 277 cells/
L (155430), HIV RNA was 3.98 log10 copies/mL (3.30
4.66), year of genotyping was 2003 (20012005), and time
since ART initiation was 64 months (33100). A history of
mono-dual NRTI therapy was present in 54.0%. All except 7
sequences belonged to patients with a history of exposure to
NRTI, 63.4% to NNRTI, 78.8% to any PI, 45.3% to boosted
PI, and 2.3% to novel drug classes; 32.1% had been exposed to
3 classes. Over calendar year of genotyping there was an
increase of patient age, a decrease of the proportion of males,
and of MSM with a corresponding increase of heterosexual
patients, an increase of CD4 counts, a decrease of viral load at
genotyping, and an increase of non-B HIV-1 subtypes (not
shown).
Over calendar years of genotyping, there was a significantly
decreased use of NRTI (...truncated)