Chrome Extension
WeChat Mini Program
Use on ChatGLM

Virological History Predicts Non-sustained Viral Suppression with Long-Acting Cabotegravir and Rilpivirine Therapy, Independent of Pharmacokinetic Parameters.

CLINICAL INFECTIOUS DISEASES(2024)

Univ Miguel Hernandez | Hosp Gen Univ Elche

Cited 0|Views4
Abstract
Background This study aimed to investigate factors contributing to non-sustained viral suppression, including intermittent viremia and persistent low-level viremia, during cabotegravir (CAB) plus rilpivirine (RPV) long-acting (LA) injectable therapy, with a focus on pharmacokinetics (PK).Methods A prospective cohort study was conducted on people with human immunodeficiency virus (HIV, PWH) transitioning from stable oral antiretroviral therapy (ART) to bimonthly CAB + RPV LA. Standardized follow-up included close monitoring through blood sampling for plasma human immunodeficiency virus type 1 (HIV-1) viral load (VL) and multiple plasma drug concentrations measurements to analyze the connection between PK parameters and virologic outcomes.Results Among 173 patients with a median (interquartile range [IQR]) follow-up of 11.1(7.1-13.2) months and 789 pre-dose measurements, 38.7% experienced VL >= 20 copies/mL, and 16.2% had levels >= 50 copies/mL. Intermittent viremia occurred in 34.7% of patients, and persistent low-level viremia in 4%. Virological failure developed in 2 cases. Predictors of non-sustained viral suppression included VL at HIV diagnosis (adjusted hazard ratio [AHR]: 1.49 per log10 VL, 95% confidence interval [CI]: 1.04-2.12, P = .027), detectable viremia on oral ART (AHR: 2.45, 95% CI: 1.29-4.65, P = .006), and the level of viral suppression at transition (AHR: 0.38, 95% CI: .19-.75, P = .004). We found a significant association between low trough concentrations of CAB and RPV and episodes of detectable viremia exceeding 50 copies/mL. However, none of the assessed PK covariates predicted non-sustained viral suppression in multivariable models.Conclusions Non-sustained viral suppression in PWH transitioning from stable oral ART to CAB + RPV LA was linked to preexisting factors before transition. Higher VL pre-ART and incomplete suppression on oral therapy increased the risk, independent of PK parameters. In people with human immunodeficiency virus (HIV) transitioning to injectable cabotegravir plus rilpivirine, non-sustained viral suppression was associated with higher pre-antiretroviral therapy (ART) viral loads and incomplete suppression during oral therapy, with no significant pharmacokinetic factors identified.
More
Translated text
Key words
long-acting cabotegravir and rilpivirine,pharmacokinetics,non-sustained viral suppression,viral blips,low-level viremia
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest