AIMC Topic: Antidepressive Agents

Clear Filters Showing 41 to 50 of 69 articles

Recent Developments in the Treatment of Depression.

Behavior therapy
The cognitive and behavioral interventions can be as efficacious as antidepressant medications and more enduring, but some patients will be more likely to respond to one than the other. Recent work has focused on developing sophisticated selection al...

A rapid LC-MS/MS method for simultaneous determination of quetiapine and duloxetine in rat plasma and its application to pharmacokinetic interaction study.

Journal of food and drug analysis
Combinations of new antidepressants like duloxetine and second-generation antipsychotics like quetiapine are used in clinical treatment of major depressive disorder, as well as in forensic toxicology scenarios. The drug-drug interaction (DDI) between...

Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review.

Journal of affective disorders
BACKGROUND: No previous study has comprehensively reviewed the application of machine learning algorithms in mood disorders populations. Herein, we qualitatively and quantitatively evaluate previous studies of machine learning-devised models that pre...

Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants.

NeuroImage. Clinical
BACKGROUND: Clinically approved antidepressants modulate the brain's emotional valence circuits, suggesting that the response of these circuits could serve as a biomarker for screening candidate antidepressant drugs. However, it is necessary that the...

Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study.

PloS one
Identification of risk factors of treatment resistance may be useful to guide treatment selection, avoid inefficient trial-and-error, and improve major depressive disorder (MDD) care. We extended the work in predictive modeling of treatment resistant...

The Cost-Effectiveness of Using PARO, a Therapeutic Robotic Seal, to Reduce Agitation and Medication Use in Dementia: Findings from a Cluster-Randomized Controlled Trial.

Journal of the American Medical Directors Association
OBJECTIVES: To examine the within-trial costs and cost-effectiveness of using PARO, compared with a plush toy and usual care, for reducing agitation and medication use in people with dementia in long-term care.

Fast and easy extraction of antidepressants from whole blood using ionic liquids as extraction solvent.

Talanta
This study aims to prove that ionic liquids (ILs) can be used as extraction solvents in a liquid-liquid microextraction, coupled to LC-MS/MS, for the quantification of a large group of antidepressants in whole blood samples. The sample preparation pr...

Cross-trial prediction of treatment outcome in depression: a machine learning approach.

The lancet. Psychiatry
BACKGROUND: Antidepressant treatment efficacy is low, but might be improved by matching patients to interventions. At present, clinicians have no empirically validated mechanisms to assess whether a patient with depression will respond to a specific ...

Antidepressant use in late gestation and risk of postpartum haemorrhage: a retrospective cohort study.

BJOG : an international journal of obstetrics and gynaecology
OBJECTIVE: To investigate the association between antidepressant use in late gestation and postpartum haemorrhage (PPH).

Real-world effectiveness of cariprazine in major depressive disorder and bipolar I disorder in the United States.

Journal of medical economics
AIMS: The efficacy of cariprazine for major depressive disorder (MDD) (adjunctive therapy) and bipolar I (BP-I) depression has been demonstrated in clinical trials. This study evaluated the real-world effectiveness of cariprazine in reducing depressi...