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Peer-reviewed articleOpen access

Quantitative evaluation of multiple treatment regimens for treatment-resistant depression.

Feng Y, Lv Y, Yang J, Xu L, Chen J, Huang J, Ren J, Zheng Q, Li LiD

The international journal of neuropsychopharmacologyFeb 1, 2025License: open accessChina0 citationsDOI: 10.1093/ijnp/pyaf007

Abstract

<h4>Objective</h4>This study aims to quantitatively evaluate the efficacy and safety of various treatment regimens for treatment-resistant depression (TRD) across oral, intravenous, and intranasal routes to inform clinical guidelines.<h4>Methods</h4>A systematic review identified randomized controlled trials on TRD, with efficacy measured by changes in the Montgomery-Åsberg Depression Rating Scale (MADRS). We developed pharmacodynamic and covariate models for different administration routes, using Monte Carlo simulations to estimate efficacy distribution. Dropout and adverse event-related dropout rates were analyzed via single-arm meta-analysis.<h4>Results</h4>Involving 22 studies with 56 treatment arms and 3059 patients, our findings suggest combination therapies outperform monotherapy, achieving an additional 6.5% reduction in MADRS scores over 12 weeks. The most effective combinations were olanzapine with fluoxetine and quetiapine with selective serotonin reuptake inhibitors/ selective serotonin and norepinephrine reuptake inhibitors. Injectable treatments, particularly ayahuasca, produced rapid effects, with a 77% reduction in MADRS scores at 15 days. Intranasal treatments reached efficacy sooner than oral ones, with 28-day efficacy similar to the 12-week efficacy of the olanzapine-fluoxetine combination. Dropout rates due to adverse events were similar across methods (4.5%-5.2%), but total dropouts were highest for oral (17.9%) and lowest for intranasal routes (10.6%). Additionally, there was considerable variation in the incidence of headache, dizziness, and nausea across different administration routes.<h4>Conclusions</h4>The quantitative evaluation of 22 TRD treatments illuminates key pharmacodynamic parameters, bolstering the development of clinical guidelines and aiding the design of clinical trials and medical decision-making.

Topics & conditions

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AyahuascaDepression

Keywords

Efficacy evaluationTreatment-resistant Depressionmodeling and simulationModel-based Meta-analysis

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