ABSTRACT
Objective: Dropout rates are high in treatments for co-occurring posttraumatic stress disorder (PTSD) and substance use disorders (SUDs). We examined dropout predictors in PTSD-SUD treatment. Methods: Participants were 183 veterans receiving integrated or phased motivational enhancement therapy and prolonged exposure. Using survival models, we examined demographics and symptom trajectories as dropout predictors. Using latent trajectory analysis, we incorporated clusters based on symptom trajectories to improve dropout prediction. Results: Hispanic ethnicity (integrated arm), Black or African American race (phased arm), and younger age (phased arm) predicted dropout. Clusters based on PTSD and substance use trajectories improved dropout prediction. In integrated treatment, participants with consistently-high use and low-and-improving use had the highest dropout. In phased treatment, participants with the highest and lowest PTSD symptoms had lower dropout; participants with the lowest substance use had higher dropout. Conclusions: Identifying within-treatment symptom trajectories associated with dropout can help clinicians intervene to maximize outcomes. ClinicalTrials.gov Identifier: NCT01211106.
ABSTRACT
Importance: Selecting effective antidepressants for the treatment of major depressive disorder (MDD) is an imprecise practice, with remission rates of about 30% at the initial treatment. Objective: To determine whether pharmacogenomic testing affects antidepressant medication selection and whether such testing leads to better clinical outcomes. Design, Setting, and Participants: A pragmatic, randomized clinical trial that compared treatment guided by pharmacogenomic testing vs usual care. Participants included 676 clinicians and 1944 patients. Participants were enrolled from 22 Department of Veterans Affairs medical centers from July 2017 through February 2021, with follow-up ending November 2021. Eligible patients were those with MDD who were initiating or switching treatment with a single antidepressant. Exclusion criteria included an active substance use disorder, mania, psychosis, or concurrent treatment with a specified list of medications. Interventions: Results from a commercial pharmacogenomic test were given to clinicians in the pharmacogenomic-guided group (n = 966). The comparison group received usual care and access to pharmacogenomic results after 24 weeks (n = 978). Main Outcomes and Measures: The co-primary outcomes were the proportion of prescriptions with a predicted drug-gene interaction written in the 30 days after randomization and remission of depressive symptoms as measured by the Patient Health Questionnaire-9 (PHQ-9) (remission was defined as PHQ-9 ≤ 5). Remission was analyzed as a repeated measure across 24 weeks by blinded raters. Results: Among 1944 patients who were randomized (mean age, 48 years; 491 women [25%]), 1541 (79%) completed the 24-week assessment. The estimated risks for receiving an antidepressant with none, moderate, and substantial drug-gene interactions for the pharmacogenomic-guided group were 59.3%, 30.0%, and 10.7% compared with 25.7%, 54.6%, and 19.7% in the usual care group. The pharmacogenomic-guided group was more likely to receive a medication with a lower potential drug-gene interaction for no drug-gene vs moderate/substantial interaction (odds ratio [OR], 4.32 [95% CI, 3.47 to 5.39]; P < .001) and no/moderate vs substantial interaction (OR, 2.08 [95% CI, 1.52 to 2.84]; P = .005) (P < .001 for overall comparison). Remission rates over 24 weeks were higher among patients whose care was guided by pharmacogenomic testing than those in usual care (OR, 1.28 [95% CI, 1.05 to 1.57]; P = .02; risk difference, 2.8% [95% CI, 0.6% to 5.1%]) but were not significantly higher at week 24 when 130 patients in the pharmacogenomic-guided group and 126 patients in the usual care group were in remission (estimated risk difference, 1.5% [95% CI, -2.4% to 5.3%]; P = .45). Conclusions and Relevance: Among patients with MDD, provision of pharmacogenomic testing for drug-gene interactions reduced prescription of medications with predicted drug-gene interactions compared with usual care. Provision of test results had small nonpersistent effects on symptom remission. Trial Registration: ClinicalTrials.gov Identifier: NCT03170362.
Subject(s)
Antidepressive Agents , Depressive Disorder, Major , Drug Interactions , Inappropriate Prescribing , Pharmacogenomic Testing , Antidepressive Agents/metabolism , Antidepressive Agents/pharmacology , Antidepressive Agents/therapeutic use , Clinical Decision-Making , Depressive Disorder, Major/drug therapy , Depressive Disorder, Major/genetics , Drug Interactions/genetics , Female , Humans , Inappropriate Prescribing/prevention & control , Male , Middle Aged , Pharmacogenetics , Remission Induction , Treatment Outcome , United States , United States Department of Veterans AffairsABSTRACT
Genomic testing has the potential to improve patient outcomes and reduce patient care costs by personalizing medication selection. Commercial pharmacogenetic (PGx) testing for psychotropic and other medications is widely available and promoted as a means to implement "precision medicine." Despite evidence that genetic variation affects the metabolism of psychotropic medications, the clinical utility of these test results has not been established. Moreover, implementing such testing in routine clinical care is complex, requiring informatics support and a systematic approach to patient and provider education. The PRIME Care program is designed to bridge this gap, applying both clinical trials and implementation science methods to conduct a program of research. It is centered on a large, pragmatic randomized clinical trial (RCT) in which 2000 Veterans with a major depressive disorder (MDD) and their health care providers are randomized together to receive PGx test results at the beginning of an episode of care or 6 months later. We hypothesize that providers who receive the PGx test results will prescribe an antidepressant guided by the PGx findings and Veterans whose care is guided by PGx testing will experience higher rates of remission from MDD. If the results of the trial replicate those of prior PGx studies, which provided preliminary evidence of the utility of PGx guided prescribing, it would strongly support using a precision medicine approach to treat MDD. This program of research is also evaluating dissemination influencers, other biomarkers (e.g., genetic variation associated with depression response), and the health care cost implications of PGx testing. ClinicalTrials.gov Identifier: NCT03170362.