Prevalence of adverse events associated with potent antiretroviraltreatment: Swiss HIV Cohort Study
Jacques Fellay, Karim Boubaker, Bruno Ledergerber, Enos Bernasconi, Hansjakob Furrer, Manuel Battegay, Bernard Hirschel,Pietro Vernazza, Patrick Francioli, Gilbert Greub, Markus Flepp, Amalio Telenti, for the Swiss HIV Cohort Study*
IntroductionBecause so many retroviral agents are available,
clinicians need a precise understanding of the efficacy
treatment have been recorded in clinical trials, post-
and toxic effects of the various drug combinations. When
marketing analyses, and anecdotal reports. Such data
efficacy is similar, the choice of combination will be
might not be an up-to-date or comprehensive assessment of
affected by the toxic effects of the drugs. Adverse
all possible treatment combinations defined as potent
reactions have been recorded anecdotally and in
randomised clinical trials,1–3 but, little information isavailable about prevalence and severity of adverse events
Methods Using a standard clinical and laboratory method,
in routine clinical practice. To describe the pattern of
we assessed prevalence of adverse events in 1160
clinical and laboratory abnormalities potentially
patients who were receiving antiretroviral treatment. We
associated with antiretroviral treatment, and to compare
measured the toxic effects associated with the drug
the prevalence of adverse events between drug regimens
regimen (protease inhibitor [PI], non-nucleoside and
and for various antiretroviral agents, we have done a
nucleoside analogue reverse transcriptase inhibitor) and
cross-sectional, observational study of 1160 patients who
specific compounds using multivariate analyses.
were receiving potent antiretroviral treatment.
We did two types of analyses. First, we did a
Findings 47% (545 of 1160) of patients presented with
structured interview and laboratory analysis to identify
clinical and 27% (194 of 712) with laboratory adverse
and describe all potential adverse events attributed to
events probably or definitely attributed to antiretroviral
treatment according to standard definitions. Second, we
treatment. Among these, 9% (47 of 545) and 16% (30 of
identified independent associations using logistic
194), respectively, were graded as serious or severe.
regression analysis that excluded the investigator’s
Single-PI and PI-sparing-antiretroviral treatment were
assessment. This approach could be a useful strategy in
associated with a comparable prevalence of adverse
postmarketing analysis of the toxic effects of drugs used
events. Compared with single-PI treatment, use of dual-PI-
antiretroviral treatment and three-class-antiretroviraltreatment was associated with higher prevalence of adverse
events (odds ratio [OR] 2·0 [95% CI 1·0–4·0], and 3·9
[1·2–12·9], respectively). Compound specific associations
The Swiss HIV Cohort Study is a prospective cohort
were identified for zidovudine, lamivudine, stavudine,
study of individuals with HIV-1 who are aged 16 years or
didanosine, abacavir, ritonavir, saquinavir, indinavir,
older.4 Patients were followed up in one of seven
nelfinavir, efavirenz, and nevirapine.
outpatient clinics (Basel, Bern, Geneva, Lausanne,Lugano, St-Gallen, Zürich). Potent antiretroviral
Interpretation We recorded a high prevalence of toxic
treatment is defined as a combination that includes at
effects attributed to antiretroviral treatment for HIV-1. Such
least three agents—a protease inhibitor (PI), a non-
data provides a reference for regimen-specific and
nucleoside reverse transcriptase inhibitor, or a nucleoside
compound-specific adverse events and could be useful in
analogue reverse transcriptase inhibitor. Drug regimens
postmarketing analyses of toxic effects.
were defined as single-PI-antiretroviral treatment(contains one PI and no non-nucleoside reverse
transcriptase inhibitors), PI-sparing-antiretroviraltreatment (contains no PIs and one non-nucleosidereverse transcriptase inhibitor, or triple nucleosideanalogue reverse transcriptase inhibitors includingabacavir), dual-PI-antiretroviral treatment (contains two
PIs and no non-nucleoside reverse transcriptaseinhibitor), and three-class-antiretroviral treatment
University Hospital of Lausanne, Lausanne, Switzerland (J Fellay MD,
(contains nucleoside analogue reverse transcriptase, PI,
K Boubaker MD, Prof P Francioli MD, G Greub MD, A Telenti MD);
and non-nucleoside reverse transcriptase inhibitors ). In
University Hospital of Zürich, Zürich, Switzerland(B Ledergerber PhD, M Flepp MD); University Hospital of Bern, Bern,
patients receiving dual-PI-antiretroviral treatment, no
Switzerland (H Furrer MD); University Hospital of Basel, Basel,
pharmacokinetic boosting with low-dose ritonavir was
Switzerland (M Battegay MD); University Hospital of Geneva,
Geneva, Switzerland (Prof B Hirschel MD); Hospital of Lugano,
We did a cross-sectional study over 4 weeks (August,
Lugano, Switzerland (E Bernasconi MD); Hospital of St-Gallen,
1999, to September, 1999) that included all participants
St-Gallen, Switzerland (P Vernazza MD); Swiss HIV Cohort Study
in the Swiss HIV Cohort Study who were receiving
Data Centre, Lausanne, Switzerland (P Francioli)
potent antiretroviral treatment. We excluded patients
Correspondence to: Dr Amalio Telenti, Division of Infectious
who had started or changed regimens within the previous
Diseases, University of Lausanne, CHUV-1011, Lausanne,
30 days. During an outpatient visit, physicians
completed a questionnaire about adverse events. The
questionnaire was based on classification used by the
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For personal use. Only reproduce with permission from The Lancet Publishing Group.
AIDS Clinical Trials Group (http://aactg.s-3.com).
zidovudine with lamivudine, didanosine with stavudine,
Physicians explicitly asked patients if symptoms listed in
indinavir with lamivudine), to improve the power of the
the questionnaire had arisen within the 30 days
logistic model to separate associations. For analysis of
preceding the visit. Lipodystrophy was described
long-term toxic effects (lipodystrophy, paraesthesia, and
according to Carr and colleagues.5 Potential adverse
neuromotor disorders), the model included type and
events were scored according to severity (1=mild,
duration of previous antiretroviral drug exposure as
2=moderate, 3=severe, 4=serious) and the likelihood of
covariables. For analysis of liver-specific laboratory
resulting from antiretroviral treatment (unlikely,
abnormalities, the model included hepatitis C and B
possible, probable, and certain), after the definition of
serostatus. Analysis of regimen-specific toxic effects used
the World Health Organisation (http://www.who-
single-PI-antiroviral treatment as reference. We used
STATA version 7.0 for statistical analysis.
Blood concentrations of haemoglobin, creatinine, urate,
Table 1 summarises demographic and HIV-related
transaminases, alkaline phosphatase, bilirubin, amylase,
characteristics of the 1160 participants. 60% of patients
creatine phosphokinase, lactate, glucose, triglyceride,
were receiving single PI-antiretroviral treatment, 15%
and cholesterol were measured. We also recorded the
each PI-sparing-antiretroviral treatment or dual-PI-
number of blood neutrophils and platelets, and the
antiretroviral treatment, and 10% three-class-
concentration of protein in the urine. Blood lactate
antiretroviral treatment (table 1). Patients on three-class-
concentration was measured after the tourniquet was
antiretroviral treatment tended to have a lower CD4 cell
removed, in tubes containing sodium fluoride. Glucose
count and more instances of suboptimum viral
and triglyceride concentrations were assessed according
suppression (and thus more advanced disease) than
to whether or not the patient was fasting at the time of
those in the other three treatment groups (p=0·0001,
blood sampling. Normal limits were defined as the
p=0·045, respectively). Intravenous drug users (23% of
interval between the 2·5 and 97·5 percentiles of healthy
participants) were less likely to be on PI-sparing-
people. CD4 cell count was measured by flow cytometry,
antiretroviral treatment than non-users (p=0·023).
and viral loads were ascertained with the Roche
Agents for treatment or prophylaxis of opportunistic
Amplicor Monitor assay (Roche Diagnostic, Basel,
infections were used by 354 (30·5%) patients. 36
Switzerland), which could detect 400 or more copies
patients (3%) were receiving lipid-lowering drugs and 12
RNA/mL. Laboratory analyses were done at or
(1%) antidiabetic agents. We did not gather data on
immediately before (<10 days) the outpatient visit.
other comedication. More men who have sex with men(42% vs 36%; p=0·0001), and fewer intravenous drug
users (24% vs 28%; p=0·001) were recorded in our study
We investigated associations between clinical and
compared with 2225 Swiss HIV Cohort Study patients
laboratory abnormalities and different antiretroviral
on antiretroviral treatment examined in 1999, but not
treatment regimens, and between such abnormalities and
included in this study. Patients in our cohort had lower
specific drugs using multiple logistic regression.
CD4 concentrations (20% vs 16% had <200 cells/mL;
Variables included in the basic model were age, sex, body
p=0·004), and a greater number of visits (4 vs 3,
mass index, intravenous drug use, last CD4 cell count,
p<0·0001) than those in the 1999 cohort. No differences
last viral load, and concomitant medication
in the type of antiretroviral treatment were recorded
(trimethoprim-sulfamethoxazol, antimycobacterial,
between patients who were included and those who were
antitoxoplasmosis, and anticytomegalovirus treatment).
We also did a subgroup analysis of drugs that are
The figure shows the severity of adverse events and the
commonly coprescribed (>80% coadministration;
likelihood that they would be caused by antiretroviral
ART=antiretroviral treatment. *NRTI=nucleoside analogue reverse transcriptase inhibitor. †PI =protease inhibitor, ‡NNRTI=non-nucleoside analogue reversetranscriptase inhibitor.
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definitely attributed to antiretroviral treatment
(nephrolithiasis, severe thrombopaenia, renal
dysfunction with grade 4 creatinine increase, or grade 4
Table 2 shows the adverse events attributed to
different antiretroviral treatment combinations. In a
multivariate analysis that accounted for stage of diseaseas measured by CD4 cell count, viraemia concentration,
and use of comedication for opportunistic illnesses,
single-PI-antiretroviral treatment and PI-sparing-
antiretroviral treatment had closely similar prevalence of
adverse events. Compared with single-PI-antiretroviral
treatment, use of dual-PI-antiretroviral treatment and
three-class-antiretroviral treatment were associated with
higher prevalence of adverse events (OR 2·0 [95% CI
1·0–4·0] and 3·9 [1·2–12·9], respectively).
Table 2 lists all associations identified in the logistic
analysis. Compared with single-PI-antiretroviral
treatment, use of three-class-antiretroviral treatment
was associated with greater risk of diarrhoea, and
increased concentrations of cholesterol, triglyceride,
alkaline phosphatase, and lactate. Use of dual-PI-
antiretroviral treatment was associated with greater risk
of fever and diarrhoea, and increased concentrations of
cholesterol, triglyceride, and alkaline phosphatase. Use
of PI-sparing-antiretroviral treatment was associated
with greater risk of vomiting, mood and sleep disorders,
and increased concentrations of amylase; but reduced
risk of diarrhoea, and increased concentrations of
Table 3 lists all adverse events attributed to specific
antiretroviral treatment by logistic analysis. In patients
taking nucleoside reverse transcriptase inhibitors,
lamivudine was independently associated with mood
disorders and lipodystrophy; stavudine with headache,
lipodystrophy, and rise in serum concentrations of urate,
creatine phosphokinase, lactate, cholesterol, and
triglyceride; didanosine with increase in urate and lactate
concentrations; and abacavir with vomiting and increasein creatine phosphokinase concentrations. There was atrend towards an association between zidovudine and
anaemia. Use of zidovudine and lamivudine in
combination was associated with neutropenia. In
patients on PI, ritonavir was independently associated
with diarrhoea, hyperbilirubinaemia, and increases in
cholesterol and triglyceride concentrations; saquinavir
with diarrhoea and thrombocytopenia; indinavir with
nephrolithiasis, rash, and hyperbilirubinaemia; and
nelfinavir with diarrhoea. Since only 13 patients received
amprenavir, we were unable to analyse this group. In
patients on non-nucleoside reverse transcriptase
inhibitors, efavirenz was associated with mood and sleep
Prevalence, severity, and likelihood of adverse events resulting
disorders, and nevirapine with rise in serum
(Top) Clinical adverse events. (Bottom) Laboratory adverse events.
The logistic regression model identified several
associations with clinical symptoms or laboratory
treatment. Clinical and laboratory abnormalities were
abnormalities that were not from antiretroviral
recorded in 78% (306 of 1160) and 85% (620 of 725 for
treatment. Fatigue was associated with higher viral
which all data were available) of patients respectively,
load; paraesthesiae and neuromotor disorders
but, most laboratory abnormalities were only possibly
(polyneuropathy) with older age and higher viral load;
attributed to treatment (figure). Overall, most adverse
lipodystrophy with older age; and nausea and vomiting
events were mild or moderate (grade 1 or 2). However,
with intravenous drug use. Pancytopenia was associated
for patients with probable or certain adverse events, 9%
with lower CD4 cell count; hyperlipidaemia and
(46 of 535) presented clinical and 16% (31 of 194) with
hyperglycaemia with higher body mass index and older
laboratory adverse events that were defined as severe or
age. High concentrations of creatine phosphokinase were
serious (grade 3 or 4). 6% of outpatient visits were
not associated with use of statins. Drugs used for
specifically triggered by an adverse event. Eight (0·6%)
treatment or prophylaxis of opportunistic illnesses were
patients were admitted to hospital during the study
associated with neutropenia and raised lactate and
period, four of whom had an adverse event probably or
creatine phosphokinase concentrations.
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Odds ratios (ORs) were estimated from the basic model using single-protease inhibitor-antiretroviral treatment as reference. PI=protease inhibitor. ART=antiretroviraltreatment. NS=not significant. *Significant (p<0·05) independent positive association. †Significant independent negative association.
Table 2: Logistic regression analysis of clinical and laboratory adverse events attributed to antiretroviral treatment regimens
37% and headache by 22% of patients, irrespective of the
We have investigated the complex issue of attributing
treatment taken. Lipodystrophy was strongly associated
toxic effects to drug regimens, or to agents used in multi-
with use of stavudine but not with use of PIs. Such an
drug combinations. In view of the high prevalence of
association has been recorded in three other
adverse events associated with antiretroviral treatment,
investigations.7–9 Some of the unexpected toxic effects,
such information is essential for management of patients
such as thrombocytopenia with saquinavir or mood
with HIV-1. In the outpatient population included in this
disorders with lamivudine, could have been missed by
analysis, more than two thirds of patients presented one
previous studies (saquinavir being almost always used in
or more clinical or laboratory adverse events which could
dual PI combination, which generates higher plasma
have been due to antiretroviral treatment. A significant
drug concentrations) or be spurious. By contrast with
proportion of adverse events was classified as severe
earlier reports,10 there was only a trend towards more
(grade 3) or serious (grade 4). Four of eight admissions
anaemia with use of zidovudine as compared with other
of patients followed up during the study were attributed
agents, and high creatine phosphokinase concentration
to severe toxic effects. However, since patients included
was more frequently seen in association with stavudine
in the study were more frequently examined during 1999
and abacavir. The improved tolerability of zidovudine
in outpatient clinics, and 6% of visits were specifically
could be accounted for by the decrease in the
due to an adverse event, our data could overestimate the
recommended dose from 1500 mg/day to 500–600
mg/day in the early 1990s.10 In our study, as in others,8,11
Patients were asked point by point which symptoms of
both didanosine and stavudine were associated with a
potential toxic effects described in the standard AIDS
high frequency of hyperlactataemia. Symptomless
Clinical Trials Group questionnaire they had had. In a
increase in urate concentrations has also been described
first assessment, the likelihood of association was defined
in patients on didanosine,12,13 but not, as we recorded,
by the investigator, and thereafter, analysis was completed
in those taking stavudine. Unconjugated hyper-
with a logistic regression model that disregarded the
bilirubinaemia has been associated with use of
investigator’s assessment. Thus, bias incurred through
indinavir,14 and was also associated with use of ritonavir
attributing specific toxic effects to a particular drug or
in our study. One-fifth of all patients had high
drug regimen from pre-existing knowledge of particular
concentrations of transaminases. But, after including
toxic effect profiles was kept to a minimum. Prevalence of
infection with hepatitis B and hepatitis C in the model,
attributed adverse events was highest in three-class-
only nevirapine was associated with a rise in
antiretroviral treatment and in dual-PI-antiretroviral
transaminase concentrations. This correlates with
treatment than in single-PI-antiretroviral treatment or PI-
reports about severe toxic effects in the liver as a result of
We have described clinical and laboratory disorders
headache were reported by 10–20% of patients taking
associated with a wide variety of treatment
placebo,6 but in our population, fatigue was reported by
combinations. As in all cohort analyses, patients were
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For personal use. Only reproduce with permission from The Lancet Publishing Group.
Nucleoside analogue reverse transcriptase inhibitors
0·6 1·0 1·8 0·6 2·2 1·3 1·5 1·1 0·8 1·1 0·8 (0·3–1·2)
1·3 0·9 0·9 0·8 1·4 1·1 1·0 1·3 0·8 1·2 1·4 (0·9–1·7)
1·4 1·1 0·7 1·0 2·3 1·1 0·5 1·0 0·7 1·3 1·6 (0·9–2·1)
0·8 0·5 0·9 1·3 0·5 2·4 2·1 0·5 3·1 0·9 1·0 (0·6–1·1)
1·1 1·7 1·0 0·5 1·0 0·9 1·4 1·1 0·8 1·5 1·6
0·9 0·9 1·1 0·9 1·4 0·8 0·9 0·9 0·8 2·1 1·0
0·8 1·2 1·4 1·1 0·9 0·6 1·2 2·0 0·7 1·0 0·9 (0·5–1·2)
0·4 1·2 2·9 1·1 2·8 0·7 0·3 0·8 1·2 3·0
Paresthesia 1·1 0·9 0·9 0·7 1·4 1·2 1·0 1·0 1·1 0·8 1·2
Neuromotor 1·2 1·1 1·0 0·8 1·7 1·2 0·7 1·3 0·8 1·2 0·6 disorders
0·8 1·6 1·8 1·0 0·7 1·0 1·4 1·2 0·9 0·7 1·7
LaboratoryAnaemia 2·3 0·8 0·4 0·7 2·1 1·4 1·7 0·4 1·1 0·4 2·2
Neutropenia 2·4 2·4 0·4 0·5 0·7 0·4 2·8 0·3 1·5 1·4 0·8
0·6 1·1 1·8 0·6 1·0 0·5 4·9 0·9 0·9 1·0 1·7
Aspartate 0·6 0·5 1·2 1·5 0·5 1·0 1·3 0·4 1·3 1·6 1·4 aminotrans- (0·3–1·2)
feraseAlanine 0·8 0·6 0·9 1·1 0·7 0·9 1·4 0·8 1·3 1·0 2·2 aminotrans- (0·6–1·2)
0·5 0·6 0·9 1·3 1·0 1·5 1·4 0·5 0·6 1·5 1·6
0·7 0·9 1·3 0·7 0·3 2·5 0·3 18·3 0·2 0·4
0·7 0·7 0·8 1·3 2·1 0·3 1·5 1·2 0·8 1·7 0·9 (0·4–1·4)
1·0 2·2 0·9 0·5 1·0 0·8 1·6 1·7 1·2 1·4 1·6 (0·5–2·1)
Proteinuria 1·0 1·6 1·2 0·5 1·0 1·0 1·5 1·4 0·6 1·6 1·8
Urate 0·4 0·5 2·1 3·2 0·9 0·8 1·2 0·9 1·3 0·6 0·3
CPK 0·6 1·4 1·8 0·8 2·9 1·6 0·4 1·4 0·9 1·3 0·5
Lactate 0·5 0·8 1·7 1·8 0·8 0·9 0·7 0·8 1·0 1·6 2·0
Glucose 0·9 1·0 0·9 0·6 1·6 0·6 1·2 1·9 1·0 1·6 0·9
Cholesterol 0·6 1·0 1·8 1·0 1·0 2·0 0·7 1·0 1·0 1·3 0·8
Triglyceride 0·6 1·1 1·5 0·9 0·9 2·4 1·1 1·0 0·7 0·8 0·7
Odds ratios (OR) were estimated from the basic model including all drugs as covariables. Values in boxes are significant at p<0·05. CPK=creatine phosphokinase.
Table 3: Logistic regression analysis of adverse events attributed to specific antiretroviral treatment agents
not randomly allocated to treatment. Allocation of
suggest that patients taking methadone have significant
treatment could have been biased since patients with
rates of abandoning antiretroviral treatment if it contains
more advanced disease would have been given three-
efavirenz, probably because of pharmacological
class antiretroviral treatment, and since intravenous drug
interaction leading to reduced methadone concen-
users were less likely to receive PI-sparing-antiretroviral
treatment. Data from the Swiss HIV Cohort Study
Furthermore, cross-sectional use of the AIDS Clinical
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For personal use. Only reproduce with permission from The Lancet Publishing Group.
Trial Group questionnaire excludes disorders that are
being treated but were not bothersome during the study
A Telenti and K Boubaker designed the study. J Fellay, G Greub, B
visit (such as neuropathy controlled with analgesics,
Ledergerber, and K Boubaker did the analysis. E Bernasconi, H Furrer,M Battegay, B Hirschel, P Vernazza, and M Flepp were responsible for
diarrhoea or nausea controlled by medication). Another
patient recruitment and clinical assessment. P Francioli directs the
potential restriction of the study is that we did not
Swiss HIV Cohort Study. J Fellay and A Telenti wrote the report,
analyse early toxic effects such as hypersensitivity
reactions that arose soon after initiation of antiretroviraltreatment, since patients had to be on stable treatment. Swiss HIV Cohort Study membersR Amiet, M Battegay, E Bernasconi, H Bucher, P H Bürgisser, M Egger,
We also did not include data on treatment interruption
P Erb, W Fierz, M Flepp, P Francioli, H Furrer, M Gorgievski,
and rechallenge, which would have provided stronger
H Günthard, P Grob, B Hirschel, T H Klimkait, B Ledergerber,
evidence for causality. An additional challenge is the
M Opravil, F Paccaud, G Pantaleo, L Perrin, W Pichler, J-C Piffaretti,
assessment of toxic effects that have persisted from
M Rickenbach, C Rudin, P Sudre, V Schiffer, J Schupbach, A Telenti, P Vernazza, R Weber.
previous treatments. Patients were on the same regimenfor the 30 days preceding the study, which should have
allowed recovery from most observed adverse events
This study has been financed in the framework of the Swiss HIV CohortStudy, supported by the Swiss National Science Foundation.
resulting from a previously used medication. For analysis
of long-term toxic effects, we included previous drug usein the model, thereby avoiding attribution of cumulative
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Further data available from author or from The Lancet
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