Major Depressive Disorder (MDD)Treatment-Resistant Depression (TRD)Bipolar DisorderDepressive DisordersAlcohol Use Disorder (AUD)SuicidalityNeurocognitive DisordersNeuroimaging & Brain MeasuresImmunology & InflammationSubstance Use Disorders (SUD)Ketamine

Predictors of Response to Ketamine in Treatment Resistant Major Depressive Disorder and Bipolar Disorder

This meta-analysis (2018) examined whether clinical and biological pretreatment variables could predict the treatment response of ketamine for patients with (bipolar) depression, but found that its antidepressant efficacy was highly variable and did not depend on any single predictor, although certain inflammatory biomarkers were associated with a positive response.

Authors

  • Roger McIntyre
  • Jonathan Rosenblat
  • Rodrigo Mansur

Published

International Journal of Environmental Research and Public Health
meta Study

Abstract

Objectives

Extant evidence indicates that ketamine exerts rapid antidepressant effects in treatment-resistant depressive (TRD) symptoms as a part of major depressive disorder (MDD) and bipolar disorder (BD). The identification of depressed sub-populations that are more likely to benefit from ketamine treatment remains a priority. In keeping with this view, the present narrative review aims to identify the pretreatment predictors of response to ketamine in TRD as part of MDD and BD.

Method

Electronic search engines PubMed/MEDLINE, ClinicalTrials.gov, and Scopus were searched for relevant articles from inception to January 2018. The search term ketamine was cross-referenced with the terms depression, major depressive disorder, bipolar disorder, predictors, and response and/or remission.

Results

Multiple baseline pretreatment predictors of response were identified, including clinical (i.e., Body Mass Index (BMI), history of suicide, family history of alcohol use disorder), peripheral biochemistry (i.e., adiponectin levels, vitamin B12 levels), polysomnography (abnormalities in delta sleep ratio), neurochemistry (i.e., glutamine/glutamate ratio), neuroimaging (i.e., anterior cingulate cortex activity), genetic variation (i.e., Val66Met BDNF allele), and cognitive functioning (i.e., processing speed). High BMI and a positive family history of alcohol use disorder were the most replicated predictors.

Conclusions

A pheno-biotype of depression more, or less likely, to benefit with ketamine treatment is far from complete. Notwithstanding, metabolic-inflammatory alterations are emerging as possible pretreatment response predictors of depressive symptom improvement, most notably being cognitive impairment. Sophisticated data-driven computational methods that are iterative and agnostic are more likely to provide actionable baseline pretreatment predictive information.

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Research Summary of 'Predictors of Response to Ketamine in Treatment Resistant Major Depressive Disorder and Bipolar Disorder'

Introduction

Major Depressive Disorder (MDD) is a common, chronic and disabling condition that often responds slowly to conventional antidepressants, with clinically meaningful improvement commonly delayed by 4–8 weeks. A substantial proportion of patients—roughly one-third—fail to remit despite multimodal treatment, creating clinical urgency to find faster-acting interventions. Subanaesthetic intravenous ketamine (commonly 0.5 mg/kg over 40 minutes) has shown rapid antidepressant and anti-suicidal effects in treatment‑resistant depression (TRD) within hours to days, with reported response rates after a single infusion of about 54% at 6 hours, 71% at day 1 and 54% at day 3, and a mean time to relapse of roughly 17 days. Enthusiasm for ketamine is tempered by concerns about tolerability, longer-term safety, diversion risk and the costs and logistics of IV administration. Rong and colleagues set out to identify pretreatment clinical and biological predictors of response to IV ketamine among adults with TRD as part of MDD or bipolar disorder (BD). Focusing deliberately on IV infusion studies—the most commonly reported delivery route—the review aimed to summarise variables measured before treatment that are associated with subsequent antidepressant response, with a view to informing patient selection, mechanistic hypotheses and future predictive work.

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Study Details

References (4)

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