Add like
Add dislike
Add to saved papers

A clinical prediction rule for protease inhibitor resistance in patients failing second-line antiretroviral therapy.

BACKGROUND: Most adults with virological failure on second-line 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 rationalise access to GART.

SETTING: A private sector ART cohort, South Africa.

METHODS: We 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.

RESULTS: 148/339 (44%) patients had PI resistance (defined as ≥ 1 major resistance mutation to current PI). Median age was 42 years (interquartile range (IQR) 36-48), 212 (63%) were female, 308 (91%) were on lopinavir/ritonavir, median PI duration was 2.6 years (IQR 1.6-4.7). Variables associated with PI resistance and included in the CPR were age [adjusted odds ratio (aOR) 1.96 (95%CI 1.42-2.70) for 10-year increase]; PI duration [aOR 1.14 (95%CI 1.03-1.26) per year], adherence [aOR 1.22 (95%CI 1.12-1.33) per 10% increase]. The CPR model had a c-statistic of 0.738 (95% CI 0.686 to 0.791).

CONCLUSION: Older 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.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app