Among pharmacodynamic and pharmacokinetic drug-drug interactions (DDIs), psychotropic drug-drug interactions (pDDIs) are of particular interest because psychopharmacologic agents mark one of the fastest growing therapeutic drug classes over the past 2 decades, and prescribing multiple psychotropic drugs has become increasingly prevalent in clinical practice. However, the documentation of pDDIs across drug references has lacked consistency. Thus we set out to review the primary evidence directly supporting 58 pDDIs that were uniformly reported as "major" or "contraindicated" in three prominent drug references: Clinical Pharmacology, Micromedex, and Lexicomp. We identified 134 citations from Micromedex in December 2017 and 4251 citations from Medline in March 2018 involving any of the 58 pDDIs. The included articles directly observed a clinical adverse effect or effects on drug plasma concentrations from the concomitant use of the two listed drugs in each pDDI. These articles were classified as controlled studies (e.g., randomized controlled trials, clinical trials, or observational studies) or uncontrolled studies (case reports). A total of 124 studies with 2716 patients were included in this review. Commonly evaluated adverse effects related to the studied pDDIs included decreased effectiveness, central nervous system depression, neurotoxicity, QT-interval prolongation, and serotonin syndrome. Among the 58 pDDIs, 18 (31%) were not supported by any primary studies. Among the remaining 35 pDDIs supported by studies on clinical adverse effects, only 14 (40%) included evidence from controlled study designs. Only 7 (12.1%) of the 58 pDDIs had evidence from studies with a combined sample size of more than 100 patients. This literature review highlights the poor quality of evidence supporting major or contraindicated psychotropic DDI warnings. Most DDIs lacked support from controlled studies that evaluated clinically significant adverse effects, leaving uncertainty about the clinical relevance of the warning. More postmarketing studies are needed to evaluate the safety of psychotropic combination therapy.
Background: Delirium in the hospitals leads to worse outcomes for patients. There were no previous studies that characterize patients with delirium from multiple hospital locations. Objective: To describe patient characteristics screening positive for delirium and identify any correlations with hospital location and medication use. Design, Settings, Patients: Retrospective chart review of 227 hospitalized patients from a large, academic, tertiary referral, 2-campus health system. Patients were ≥18 years old and had delirium for at least ≥24 hours. Validated delirium screening tools were utilized. Measurements: Patients’ demographics, inpatient stay information, delirium episodes characteristics, drugs, and palliative and psychiatry teams’ involvement. Results: Most patients were older with a mean age of 64.1 years. The most common primary diagnoses were infection, cardiac, and pulmonary. Average length of delirium was 7.2 days (standard deviation [SD] = 8.2), and average length of stay (LOS) was 18.7 days (median = 10.5, SD = 35.1, 95% confidence interval = 14.1-23). Thirty-day readmission rate was 24.8% (65/262 hospitalizations); 12.8% of patients died in the hospital (29/227). Around one-third of hospitalizations had involvement of palliative care, palliative psychiatry, or general psychiatry team. There was a decrease in the number of medications administered 24 hours after the first recording of delirium compared to the immediate preceding 48 hours. Those hospitalizations where delirium first occurred in the intensive care unit (ICU) did have a longer LOS (average = 22.9, SD = 45.7) than those where delirium first occurred outside the ICU (average = 14.8, SD = 20.5). Patients were likely to have received an opioid within 48 hours in 51% of hospitalizations and to have received benzodiazepines in 16% of hospitalizations. Conclusion: In our study, we found that delirium significantly impacted length of delirium episode, number of episodes of delirium, length of hospital admission, and mortality. The population most sensitive to the impacts of delirium were elderly patients.
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