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DOI 10.1097/qai.0000000000003570

Медицинская библиотека · Journal of acquired immune deficiency syndromes (1999) · 2025

A Cross-Biomeasure Study to Optimize Antiretroviral Adherence Estimation.

Devanathan Aaron S, Poliseno Amanda J, White Nicole R, Schauer Amanda P, Sykes Craig, Weideman Ann Marie K, Kilpatrick Kayla W, Hudgens Michael G, Gay Cynthia L, Rosen Elias P, Dumond Julie B, Kashuba Angela D M, Cottrell Mackenzie L

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Аннотация

BACKGROUND

Incomplete adherence to daily tenofovir disoproxil fumarate/emtricitabine (TDF/FTC) reduces effectiveness. Adherence biomeasures (ie, drug concentrations in biological specimen) are more accurate than self-report. TDF/FTC's intracellular active metabolites (tenofovir-diphosphate; TFVdp and FTC-triphosphate; FTCtp) can be quantified in different types of blood samples to estimate adherence. To optimize adherence estimation, we investigated approaches to measure TFVdp and FTCtp in 4 blood matrices.

METHODS

Twelve HIV-negative, healthy volunteers were enrolled in a single-center, open-label, 3-phase, directly observed therapy study. LC-MS/MS methods quantified TFVdp/FTCtp in dried blood spots, volumetrically accurate microsampling, upper layer packed cells, and peripheral blood mononuclear cells (PBMCs). Noncompartmental analysis estimated half-lives and accumulation ratios. Correlations characterized relationships between clinical variables and exposure. Regression models were fit to determine concentrations associated with <4 and ≥4 doses/week; correct classification percentages were determined.

RESULTS

Terminal half-life estimates of 3-4 vs 15-22 days distinguished between moderate-term (FTCtp in all samples; TFVdp in PBMCs) versus long-term (TFVdp in red blood cell-containing matrices) measures. Model-derived thresholds accurately categorized <4 and ≥4 doses/week when including both metabolites for 14- and 28-day dosing periods (81%-91% and 82%-85%, respectively). Within each classification and regression trees analyses containing both moderate- and long-term measures, dried blood spots exhibited highest accuracy to predict stable (74%-94%) and changing (42%-47%) adherence patterns.

CONCLUSIONS

We demonstrate higher accuracy of moderate-term biomeasures to classify adherence over a 14-day period compared with long-term biomeasures to classify adherence over a 28-day period. Combined moderate- and long-term biomeasures predicted stable and changing adherence patterns, with dried blood spots exhibiting highest accuracy.

Для цитирования: Devanathan Aaron S, Poliseno Amanda J, White Nicole R, Schauer Amanda P, Sykes Craig, Weideman Ann Marie K, Kilpatrick Kayla W, Hudgens Michael G, Gay Cynthia L, Rosen Elias P, Dumond Julie B, Kashuba Angela D M, Cottrell Mackenzie L. A Cross-Biomeasure Study to Optimize Antiretroviral Adherence Estimation.. Journal of acquired immune deficiency syndromes (1999). 2025. DOI: 10.1097/qai.0000000000003570.

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