At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data.

Depression Ketamine Machine learning Network analysis Psychedelic Telehealth

Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
27 May 2024
Historique:
received: 22 01 2024
revised: 30 04 2024
accepted: 25 05 2024
medline: 30 5 2024
pubmed: 30 5 2024
entrez: 29 5 2024
Statut: aheadofprint

Résumé

Improving safe and effective access to ketamine therapy is of high priority given the growing burden of mental illness. Telehealth-supported administration of sublingual ketamine is being explored toward this goal. In this longitudinal study, moderately-to-severely depressed patients received four doses of ketamine at home over four weeks within a supportive digital health context. Treatment was structured to resemble methods of therapeutic psychedelic trials. Patients receiving a second course of treatment were also examined. Symptoms were assessed using the Patient Health Questionnaire (PHQ-9) for depression. We conducted preregistered machine learning and symptom network analyses to investigate outcomes (osf.io/v2rpx). A sample of 11,441 patients was analyzed, demonstrating a modal antidepressant response from both non-severe (n = 6384, 55.8 %) and severe (n = 2070, 18.1 %) baseline depression levels. Adverse events were detected in 3.0-4.8 % of participants and predominantly neurologic or psychiatric in nature. A second course of treatment helped extend improvements in patients who responded favorably to initial treatment. Improvement was most strongly predicted by lower depression scores and age at baseline. Symptoms of Depressed mood and Anhedonia sustained depression despite ongoing treatment. This study was limited by the absence of comparison or control groups and lack of a fixed-dose procedure for ketamine administration. At-home, telehealth-supported ketamine administration was largely safe, well-tolerated, and associated with improvement in patients with depression. Strategies for combining psychedelic-oriented therapies with rigorous telehealth models, as explored here, may uniquely address barriers to mental health treatment.

Sections du résumé

BACKGROUND BACKGROUND
Improving safe and effective access to ketamine therapy is of high priority given the growing burden of mental illness. Telehealth-supported administration of sublingual ketamine is being explored toward this goal.
METHODS METHODS
In this longitudinal study, moderately-to-severely depressed patients received four doses of ketamine at home over four weeks within a supportive digital health context. Treatment was structured to resemble methods of therapeutic psychedelic trials. Patients receiving a second course of treatment were also examined. Symptoms were assessed using the Patient Health Questionnaire (PHQ-9) for depression. We conducted preregistered machine learning and symptom network analyses to investigate outcomes (osf.io/v2rpx).
RESULTS RESULTS
A sample of 11,441 patients was analyzed, demonstrating a modal antidepressant response from both non-severe (n = 6384, 55.8 %) and severe (n = 2070, 18.1 %) baseline depression levels. Adverse events were detected in 3.0-4.8 % of participants and predominantly neurologic or psychiatric in nature. A second course of treatment helped extend improvements in patients who responded favorably to initial treatment. Improvement was most strongly predicted by lower depression scores and age at baseline. Symptoms of Depressed mood and Anhedonia sustained depression despite ongoing treatment.
LIMITATIONS CONCLUSIONS
This study was limited by the absence of comparison or control groups and lack of a fixed-dose procedure for ketamine administration.
CONCLUSIONS CONCLUSIONS
At-home, telehealth-supported ketamine administration was largely safe, well-tolerated, and associated with improvement in patients with depression. Strategies for combining psychedelic-oriented therapies with rigorous telehealth models, as explored here, may uniquely address barriers to mental health treatment.

Identifiants

pubmed: 38810787
pii: S0165-0327(24)00875-9
doi: 10.1016/j.jad.2024.05.131
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest David S. Mathai and Matteo Malgaroli have no relevant commercial or financial relationships to disclose. Thomas D. Hull received minor consulting fees from Mindbloom. Leonardo Vando is an employee of Mindbloom. Data for this research were provided by the online medical service, which had no involvement in the study design or formal analysis for this manuscript.

Auteurs

David S Mathai (DS)

The Johns Hopkins University School of Medicine, Center for Psychedelic and Consciousness Research, Department of Psychiatry and Behavioral Sciences, Baltimore, MD, United States of America; Sattva Medicine - Psychiatry/Psychotherapy Practice, Miami, FL, United States of America.

Thomas D Hull (TD)

Institute for Psycholinguistics and Digital Health, United States of America.

Leonardo Vando (L)

Mindbloom, Orlando, FL, United States of America.

Matteo Malgaroli (M)

NYU Grossman School of Medicine, Department of Psychiatry, New York, NY, United States of America. Electronic address: matteo.malgaroli@nyulangone.org.

Classifications MeSH