Background: QUANTI-TAF aimed to establish tenofovir-diphosphate (TFV-DP)/emtricitabine-triphosphate (FTC-TP) adherence benchmarks in dried blood spots (DBS) for persons with human immunodeficiency virus (PWH) receiving tenofovir alafenamide/emtricitabine (TAF/FTC)-based antiretroviral therapy (ART).
Methods: For 16 weeks, PWH received TAF/FTC-based ART co-encapsulated with an ingestible sensor to directly measure cumulative (enrollment to final visit) and 10-day adherence. At monthly visits, intraerythrocytic concentrations of TFV-DP and FTC-TP in DBS were quantified and summarized at steady-state (week 12 or 16) as median (interquartile range). Linear mixed-effects models evaluated factors associated with TFV-DP/FTC-TP.
Results: Eighty-four participants (11% female, 4% transgender) predominantly receiving bictegravir/TAF/FTC (73%) were enrolled. Ninety-two percent completed week 12 or 16 (94% unboosted ART). TFV-DP for <85% (7/72), 85%-<95% (9/72), and ≥95% (56/72) cumulative adherence was 2696 (2039-4108), 3117 (2332-3339), and 3344 (2605-4293) fmol/punches. Adjusting for cumulative adherence, TFV-DP was higher with boosted ART, lower body mass index, and in non-Black participants. FTC-TP for <85% (14/77), 85%-<95% (6/77), and ≥95% (57/77) 10-day adherence was 3.52 (2.64-4.48), 4.58 (4.39-5.06), and 4.96 (4.21-6.26) pmol/punches. All participants with ≥85% cumulative and 10-day adherence had TFV-DP ≥1800 fmol/punches and FTC-TP ≥2.5 pmol/punches, respectively. Low-level viremia (HIV-1 RNA 20-199 copies/mL) occurred at 18% of visits in 39% of participants with similar TFV-DP (3177 [2494-4149] fmol/punches) compared with suppressed visits (3279 [2580-4407] fmol/punches).
Conclusions: TFV-DP ≥1800 fmol/punches and FTC-TP ≥2.5 pmol/punches represent DBS benchmarks for ≥85% adherence to unboosted TAF/FTC-based ART. Among PWH with high adherence, low-level viremia was common.
Clinical Trials Registration: NCT04065347.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11581703 | PMC |
| http://dx.doi.org/10.1093/cid/ciae212 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Feasibility trial of STRONG: A digital intervention to improve nutritional management for individuals with esophageal and gastroesophageal junction cancer.
Contemp Clin Trials Commun
February 2025
Division of Health Systems, Policy, and Innovation, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Introduction: Individuals with esophageal and gastroesophageal junction (GEJ) cancers are at especially high risk of malnutrition. However, most patients with malnutrition do not receive adequate nutritional support. We conducted a single-arm trial to test the implementation of Support Through Remote Observation and Nutrition Guidance (STRONG), a multilevel digital intervention to improve nutritional outcomes for patients with locally advanced esophageal and gastroesophageal junction cancer.
View Article and Find Full Text PDFComparing the Artificial Intelligence Detection Models to Standard Diagnostic Methods and Alternative Models in Identifying Alzheimer's Disease in At-Risk or Early Symptomatic Individuals: A Scoping Review.
Cureus
December 2024
Information Technology, Gandhinagar University, Moti Bhoyan, IND.
Alzheimer's disease (AD) and other neurodegenerative illnesses place a heavy strain on the world's healthcare systems, particularly among the aging population. With a focus on research from January 2022 to September 2023, this scoping review, which adheres to Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-Scr) criteria, examines the changing landscape of artificial intelligence (AI) applications for early AD detection and diagnosis. Forty-four carefully chosen articles were selected from a pool of 2,966 articles for the qualitative synthesis.
View Article and Find Full Text PDFInsight into the impact of various processing stages on metabolites and flavors in jujube jam.
Food Res Int
January 2025
College of Life Sciences, Linyi University, Linyi 276005, China. Electronic address:
Essential to the determination of the ultimate and flavor of jujube jam are various processing stages. Nevertheless, the alterations in metabolites and flavor chemistry throughout the processing of jujube jam are poorly comprehended. This research employed metabolomics, flavor analysis, and microbial indicators to examine the impact of distinct processing stages on the metabolites and flavor profile of jujube jam.
View Article and Find Full Text PDFBenchmarking the clinical outcomes of Healthentia SaMD in chronic disease management: a systematic literature review comparison.
Front Public Health
January 2025
AstraZeneca SpA, Milano Innovation District (MIND), Milano, Italy.
Background: Software as a Medical Device (SaMD) and mobile health (mHealth) applications have revolutionized the healthcare landscape in the areas of remote patient monitoring (RPM) and digital therapeutics (DTx). These technological advancements offer a range of benefits, from improved patient engagement and real-time monitoring, to evidence-based personalized treatment plans, risk prediction, and enhanced clinical outcomes.
Objective: The systematic literature review aims to provide a comprehensive overview of the status of SaMD and mHealth apps, highlight the promising results, and discuss what is the potential of these technologies for improving health outcomes.
Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients.
PLoS One
January 2025
Dep. of Organ Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Introduction: Pancreaticoduodenectomy (PD) for patients with pancreatic ductal adenocarcinoma (PDAC) is associated with a high risk of postoperative complications (PoCs) and risk prediction of these is therefore critical for optimal treatment planning. We hypothesize that novel deep learning network approaches through transfer learning may be superior to legacy approaches for PoC risk prediction in the PDAC surgical setting.
Methods: Data from the US National Surgical Quality Improvement Program (NSQIP) 2002-2018 were used, with a total of 5,881,881 million patients, including 31,728 PD patients.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!