Evidence map›Paper›PMID 30531296›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2019

A Clinical Prediction Rule for Protease Inhibitor Resistance in Patients Failing Second-Line Antiretroviral Therapy.

Karen Cohen, Annemie Stewart, Andre P Kengne, Rory Leisegang, Marla Coetsee, Shavani Maharaj, Liezl Dunn, Michael Hislop, Gert van Zyl, Graeme Meintjes and 1 more

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. mBio · 2020
    Article
  7. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Karen CohenDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Annemie StewartDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Andre P KengneDepartment of Medicine, University of Cape Town, Cape Town, South Africa.
Rory LeisegangDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Marla CoetseeAid for AIDS Management (Pty) Ltd, Cape Town, South Africa.
Shavani MaharajAid for AIDS Management (Pty) Ltd, Cape Town, South Africa.
Liezl DunnAid for AIDS Management (Pty) Ltd, Cape Town, South Africa.
Michael HislopAid for AIDS Management (Pty) Ltd, Cape Town, South Africa.
Gert van ZylDivision of Medical Virology, Department of Pathology, NHLS and Stellenbosch University, Stellenbosch, South Africa.
Graeme MeintjesDepartment of Medicine, University of Cape Town, Cape Town, South Africa.
Gary MaartensDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
NIAID NIH HHS U01 AI069924Wellcome TrustWellcome Trust 098316
6 · The paper itself

Abstract

backgroundMost adults with virological failure on second-line antiretroviral therapy (ART) in resource-limited settings have no major protease inhibitor (PI) resistance mutations. Therefore, empiric switches to third-line ART would waste resources. Genotypic antiretroviral resistance testing (GART) is expensive and has limited availability. A clinical prediction rule (CPR) for PI resistance could rationalize access to GART.

settingA private sector ART cohort, South Africa.

methodsWe identified adults with virologic failure on ritonavir-boosted lopinavir/atazanavir-based ART and GART. We constructed a multivariate logistic regression model including age, sex, PI duration, short-term adherence (using pharmacy claims), concomitant CYP3A4-inducing drugs, and viral load at time of GART. We selected variables for the CPR using a stepwise approach and internally validated the model by bootstrapping.

results148/339 (44%) patients had PI resistance (defined as ≥ 1 major resistance mutation to current PI). The median age was 42 years (interquartile range 36-48), 212 (63%) were females, 308 (91%) were on lopinavir/ritonavir, and median PI duration was 2.6 years (interquartile range 1.6-4.7). Variables associated with PI resistance and included in the CPR were age {adjusted odds ratio (aOR) 1.96 (95% confidence interval [CI]: 1.42 to 2.70) for 10-year increase}, PI duration (aOR 1.14 [95% CI: 1.03 to 1.26] per year), and adherence (aOR 1.22 [95% CI: 1.12 to 1.33] per 10% increase). The CPR model had a c-statistic of 0.738 (95% CI: 0.686 to 0.791).

conclusionsOlder patients with high adherence and prolonged PI exposure are most likely to benefit from GART to guide selection of a third-line ART regimen. Our CPR to select patients for GART requires external validation before implementation.

Indexed as

Drug Resistance, ViralAdultAtazanavir SulfateFemaleHIV-1HIV InfectionsHIV Protease InhibitorsHumansLogistic ModelsLopinavirMaleMiddle AgedMultivariate AnalysisMutationAtazanavir SulfateHIV Protease InhibitorsLopinavir

Identifiers

PMID30531296
PMCPMC6802273

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.