Antiretroviral Therapeutic Drug Monitoring in Canada: Current Status and Recommendations for Clinical Practice
Bibliographic record
Abstract
Therapeutic drug monitoring (TDM) is a strategy whereby the plasma concentration of one or more drugs is measured and drug doses are adjusted accordingly to achieve concentrations within an acceptable therapeutic range. The goal of TDM is to maximize pharmacologic efficacy and minimize the drug’s toxic effects, and hence to contribute to optimizing the patient’s outcomes. In general, TDM is indicated if the following conditions are present: there is a direct relationship between drug exposure and pharmacologic response, the drug has a narrow therapeutic index and is used to treat a condition for which drug failure or toxicity is associated with substantial morbidity or mortality, and there is limited intrapatient but wide interpatient pharmaco kinetic variation. Differences in pharmacokinetic factors among patients are multifactorial and may include age, sex, ethnic background, pregnancy, and body weight, as well as comorbid conditions causing variations in hepatic function, renal function, drug absorption, and drug disposition. In some cases, genetic polymorphisms in the cytochrome P450 enzymes may explain the large interpatient variability for certain antiretroviral agents. For example, certain CYP2B6 and CYP2A6 polymorphisms are independent predictors of plasma concentrations of efavirenz. Moreover, the potential for complex or unpredictable drug–drug or drug–food interactions can significantly affect plasma drug concentrations. Finally, TDM depends on the availability of an accurate and feasible analytical method for a given drug. Among antiretroviral agents, the protease inhibitors and the non-nucleoside reverse transcriptase inhibitors (NNRTIs) are considered suitable candidates for TDM. Evidence exists of a relation between exposure to antiretrovirals and virologic response and, in more limited instances, between exposure to the drug and toxic effects. Recent data have suggested that intraindividual variation is limited (19.0% for NNRTIs and 38.1% for protease inhibitors). Preliminary data have also suggested that trough levels of maraviroc, a chemokine (C–C motif) receptor 5 (CCR5) antagonist, are predictive of virologic outcome, although TDM experience with this agent is extremely limited. In retrospective and prospective studies, observed interindividual variability in drug concentrations has been 45% to 112% for protease inhibitors and 75% for NNRTIs. Thus, a given dose of a particular antiretroviral agent may result in unacceptable toxic effects in some patients while yielding subtherapeutic concentrations in others. TDM represents a tool by which the effectiveness of these agents in clinical practice can be optimized through dosage adjustments tailored to patient-specific pharmacokinetic and pharmaco dynamic parameters. The current article reviews the literature on antiretroviral TDM, describes the development of an antiretroviral TDM program in Canada, and illustrates the role of the pharmacist in the clinical application of TDM. Given current evidence and personal experience, the authors support the use of antiretro viral TDM as a clinical tool in special patient populations and for specific clinical situations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".