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Relapse prevention after index electroconvulsive therapy in treatment-resistant depression

*Corresponding author for this work
Scholary Output:
Contribution to journal
Review article
Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

BACKGROUND: One-third of patients who suffer from depression are resistant to conventional treatments. An acute course of electroconvulsive therapy (ECT) can lead to remission of depressive symptoms in a substantial portion of the treatment-resistant patients. However, prevention of relapse with depressive symptoms after the index course of ECT can be challenging. We review pertinent studies on the topic and analyze the best strategies to avoid relapse and recurrence of depressive symptoms. METHODS: We performed a systematic literature review of PubMed through April 2014 for clinical trials published in English to determine if continuation ECT (C-ECT), continuation medication, continuation psychotherapy, or combinations of these are the best strategy to avoid relapse and recurrence of depressive symptoms after an acute course of ECT. Clinical trials comparing ≥2 of the above strategies were included in the review. RESULTS: Although there are few rigorous randomized clinical trials in this area, most studies suggest that combined C-ECT and continuation pharmacotherapy are the most effective strategy in relapse prevention. CONCLUSIONS: C-ECT and continuation pharmacotherapy may be more effective than either alone for preventing relapse. However, more definitive randomized clinical trials are needed.

Publication Information

Output type

Scholary Output:
Contribution to journal
Review article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 288-296 (9 pages)

Journal (Volume, Issue Number)

Annals of Clinical Psychiatry (Volume 26, Issue 4)

Publication milestones

  • Published - 11/01/2014

Publication status

Published - 11/01/2014

ISSN

1040-1237

Publication IDs

  • Scopus: 84929071609
  • PubMed: 25401716
  • ORCID: /0000-0001-5035-7858/work/51379528

Publication metrics

Metrics

Scopus
citations
SciVal
FWCI
0.44
SciVal
Author count
2
SciVal
citations
18
SciVal
Paper percentile
79
Fractional count
2
Fractional count
1
Fractional count
2
Fractional count
1

PlumX

Social media
4
Citation count
30

Funding Details

FundersFunding numbers
NIH
R01MH095776, U01MH084241
NIMH
U01MH086127