Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 840

The DOI matches its Crossref record.

Efavirenz plasma levels can predict treatment failure and central nervous system side effects in HIV-1-infected patients

Marzolini, Catia, Telenti, Amalio, Decosterd, Laurent A., Greub, Gilbert, Biollaz, Jérôme, Buclin, Thierry·2001·AIDS

Abstract

OBJECTIVE: Limited information exists on the clinical usefulness of drug level monitoring for efavirenz, a once-daily non-nucleoside reverse transcriptase inhibitor (NNRTI). The aim of this study was to determine whether efavirenz plasma concentration monitoring could predict treatment failure and central nervous system (CNS) tolerability. METHODS: Blood samples were obtained from 130 HIV-infected patients receiving efavirenz in combination with other antiretroviral agents for more than 3 months. Efavirenz plasma concentrations were measured by high-performance liquid chromatography. An evaluation of CNS side-effects was performed and the viral load, CD4 cell count and other clinical and laboratory data were assessed. In 85 patients, these measures were repeated at 3 month intervals. RESULTS: Efavirenz plasma levels (n = 226) were measured at an average of 14 h after drug intake. Drug concentrations ranged from 125 to 15230 microg/l (median 2188). Large inter-patient (CV 118%) and limited intra-patient (CV 30%) variabilities were observed in efavirenz levels. Virological failure was observed in 50% of patients with low efavirenz levels (< 1000 microg/l) versus 22 and 18% in patients with 1000-4000 microg/l or more than 4000 microg/l, respectively. CNS toxicity was approximately three times more frequent in patients with high efavirenz levels (> 4000 microg/l) compared with patients with 1000-4000 microg/l. CONCLUSION: Treatment failure and CNS side-effects are associated with low and high efavirenz plasma levels, respectively. The important inter-individual variability in efavirenz levels strongly argues for dose adjustment on the basis of therapeutic drug monitoring to optimize treatment.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/00002030-200101050-00011

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 840

Metadata

Authors
Marzolini, C., Telenti, A., Decosterd, L. A., Greub, G., Biollaz, J., & Buclin, T.
Venue
AIDS
Published
2001-01
Volume
15
Issue
1
Pages
71-75
ISSN
0269-9370 (ISSN-L)
OpenAlex
W2106737113
Cited by
840
References
0
FWCI
26.66
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Efavirenz plasma levels can predict treatment failure and central nervous system side effects in HIV-1-infected patients. https://app.cochat.ai/papers/10.1097/00002030-200101050-00011
The paper
Marzolini, C., Telenti, A., Decosterd, L. A., Greub, G., Biollaz, J., & Buclin, T. (2001). Efavirenz plasma levels can predict treatment failure and central nervous system side effects in HIV-1-infected patients. AIDS. https://doi.org/10.1097/00002030-200101050-00011

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.