NCT03490149

Brief Summary

The study aims to use machine learning to predict the occurrence of episodic and autobiographical memory deficits as well as treatment response following a course of electroconvulsive therapy. Additionally, the neurophysiological correlates of the cognitive effects after a course of ECT will be investigated. Therefore, structural, resting-state and diffusion tensor images will be collected within one week before the first and after the last ECT treatment from severely depressed patients. Standard measures of cognitive function and specifically episodic as well as autobiographical memory will also be collected longitudinally and used for prediction. The study consists of 60 ECT receiving inpatients suffering from major unipolar or bipolar depression, 60 medication-only controls and 60 healthy controls.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
180

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Jan 2018

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 2, 2018

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

March 29, 2018

Completed
8 days until next milestone

First Posted

Study publicly available on registry

April 6, 2018

Completed
3.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2021

Completed
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2022

Completed
Last Updated

May 25, 2022

Status Verified

May 1, 2022

Enrollment Period

3.9 years

First QC Date

March 29, 2018

Last Update Submit

May 24, 2022

Conditions

Keywords

ECTElectroconvulsive TherapyDepressionMemoryMemory Impairment

Outcome Measures

Primary Outcomes (4)

  • Change in auditory verbal learning performance

    Auditory Verbal Learning Test (AVLT)

    Within one week before first and one week after last ECT

  • Change in autobiographical memory performance

    Autobiographical Memory Interview (AMI-SF)

    Within one week before first and one week after last ECT

  • Change in subjective memory impairment

    Qualitative Interview

    Within one week before first and one week after last ECT

  • Occurence of retrograde amnesia

    Within the first week after last ECT

Secondary Outcomes (2)

  • Change in depression severity as measured by the Hamilton Depression Rating Scale (HDRS 28).

    One week before first and one week after last ECT

  • Change in depression severity as measured by the Montgomery-Åsberg Depression Rating Scale (MADRS)

    One week before first and one week after last ECT

Study Arms (3)

ECT

Device: Electroconvulsive Therapy

Medication - Treatment as usual

Drug: Medication - Treatment as usual

Healthy controls

Interventions

Series of electroconvulsive therapy for major depressive disorder

ECT

Medication only sample - Treatment as usual

Medication - Treatment as usual

Eligibility Criteria

Age18 Years - 85 Years
Sexall
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Inpatients at the psychiatric hospital of the University Hospital Bonn. The patients diagnosis of major depressive disorder will be verified via the structured clinical interview for DSM-5. ECT protocol in line with international standards administered by a staff psychiatrist. Additionally, a medication-only and a healthy control sample are included in the study.

You may qualify if:

  • The duration of the current depressive episode is at least four weeks
  • The duration of the current depressive episode is less than five years
  • Inpatients of the psychiatric clinic of the University Hospital Bonn and eligible for ECT because of major depressive disorder or major depressive episode in bipolar disorder (according to DSM-5 criteria)
  • Score on HDRS 28 ≥ 20
  • Ability to understand the purpose of and procedures required for the study and willingness to consent to participation
  • Meeting of standard medical prerequisites for ECT (judged by staff psychiatrist)
  • Ability to speak and understand the german language

You may not qualify if:

  • No lifetime occurence of a personality disorder
  • Current (or within the last year) posttraumatic stress disorder
  • Schizophrenia or any other psychotic disorder except for psychotic depression
  • Severe somatic or neurological condition (e.g. stroke)
  • Head trauma resulting in unconsciousness for more than 5 minutes
  • Pregnancy
  • Maintenance ECT or ECT received during the last 6 month
  • Subjects who do not consent to be informed of incidental findings that could have healthcare implications
  • Drug or alcohol dependence (\<6 month before ECT)
  • Is currently enrolled in a study with an investigational study drug
  • Has any condition that, in the opinion of the investigator, would compromise the wellbeing of the subject or the study or prevent the subject from meeting or performing study requirements

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Klinik und Poliklinik für Psychiatrie und Psychotherapie

Bonn, North Rhine-Westphalia, 53105, Germany

RECRUITING

Related Publications (19)

  • Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, Charlson FJ, Norman RE, Flaxman AD, Johns N, Burstein R, Murray CJ, Vos T. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013 Nov 9;382(9904):1575-86. doi: 10.1016/S0140-6736(13)61611-6. Epub 2013 Aug 29.

    PMID: 23993280BACKGROUND
  • Sinyor M, Schaffer A, Levitt A. The sequenced treatment alternatives to relieve depression (STAR*D) trial: a review. Can J Psychiatry. 2010 Mar;55(3):126-35. doi: 10.1177/070674371005500303.

    PMID: 20370962BACKGROUND
  • UK ECT Review Group. Efficacy and safety of electroconvulsive therapy in depressive disorders: a systematic review and meta-analysis. Lancet. 2003 Mar 8;361(9360):799-808. doi: 10.1016/S0140-6736(03)12705-5.

    PMID: 12642045BACKGROUND
  • Haq AU, Sitzmann AF, Goldman ML, Maixner DF, Mickey BJ. Response of depression to electroconvulsive therapy: a meta-analysis of clinical predictors. J Clin Psychiatry. 2015 Oct;76(10):1374-84. doi: 10.4088/JCP.14r09528.

    PMID: 26528644BACKGROUND
  • Sackeim HA. Modern Electroconvulsive Therapy: Vastly Improved yet Greatly Underused. JAMA Psychiatry. 2017 Aug 1;74(8):779-780. doi: 10.1001/jamapsychiatry.2017.1670. No abstract available.

    PMID: 28658461BACKGROUND
  • Slade EP, Jahn DR, Regenold WT, Case BG. Association of Electroconvulsive Therapy With Psychiatric Readmissions in US Hospitals. JAMA Psychiatry. 2017 Aug 1;74(8):798-804. doi: 10.1001/jamapsychiatry.2017.1378.

    PMID: 28658489BACKGROUND
  • Aoki Y, Yamaguchi S, Ando S, Sasaki N, Bernick PJ, Akiyama T. The experience of electroconvulsive therapy and its impact on associated stigma: A meta-analysis. Int J Soc Psychiatry. 2016 Dec;62(8):708-718. doi: 10.1177/0020764016675379. Epub 2016 Oct 26.

    PMID: 27798050BACKGROUND
  • Bailine S. Reimbursement and documentation issues in an ambulatory ECT program. J ECT. 1998 Dec;14(4):255-8.

    PMID: 9871847BACKGROUND
  • Case BG, Bertollo DN, Laska EM, Price LH, Siegel CE, Olfson M, Marcus SC. Declining use of electroconvulsive therapy in United States general hospitals. Biol Psychiatry. 2013 Jan 15;73(2):119-26. doi: 10.1016/j.biopsych.2012.09.005. Epub 2012 Oct 8.

    PMID: 23059049BACKGROUND
  • Wilhelmy S, Rolfes V, Grozinger M, Chikere Y, Schottle S, Gross D. Knowledge and attitudes on electroconvulsive therapy in Germany: A web based survey. Psychiatry Res. 2018 Apr;262:407-412. doi: 10.1016/j.psychres.2017.09.015. Epub 2017 Sep 11.

    PMID: 28923432BACKGROUND
  • Wilkinson D, Daoud J. The stigma and the enigma of ECT. Int J Geriatr Psychiatry. 1998 Dec;13(12):833-5. doi: 10.1002/(sici)1099-1166(1998120)13:123.0.co;2-r. No abstract available.

    PMID: 9884906BACKGROUND
  • Dwork AJ, Arango V, Underwood M, Ilievski B, Rosoklija G, Sackeim HA, Lisanby SH. Absence of histological lesions in primate models of ECT and magnetic seizure therapy. Am J Psychiatry. 2004 Mar;161(3):576-8. doi: 10.1176/appi.ajp.161.3.576.

    PMID: 14992989BACKGROUND
  • Semkovska M, McLoughlin DM. Objective cognitive performance associated with electroconvulsive therapy for depression: a systematic review and meta-analysis. Biol Psychiatry. 2010 Sep 15;68(6):568-77. doi: 10.1016/j.biopsych.2010.06.009. Epub 2010 Jul 31.

    PMID: 20673880BACKGROUND
  • Payne NA, Prudic J. Electroconvulsive therapy: Part I. A perspective on the evolution and current practice of ECT. J Psychiatr Pract. 2009 Sep;15(5):346-68. doi: 10.1097/01.pra.0000361277.65468.ef.

    PMID: 19820553BACKGROUND
  • Prudic J, Peyser S, Sackeim HA. Subjective memory complaints: a review of patient self-assessment of memory after electroconvulsive therapy. J ECT. 2000 Jun;16(2):121-32. doi: 10.1097/00124509-200006000-00004.

    PMID: 10868322BACKGROUND
  • Lisanby SH, Maddox JH, Prudic J, Devanand DP, Sackeim HA. The effects of electroconvulsive therapy on memory of autobiographical and public events. Arch Gen Psychiatry. 2000 Jun;57(6):581-90. doi: 10.1001/archpsyc.57.6.581.

    PMID: 10839336BACKGROUND
  • Sackeim HA. Autobiographical memory and electroconvulsive therapy: do not throw out the baby. J ECT. 2014 Sep;30(3):177-86. doi: 10.1097/YCT.0000000000000117.

    PMID: 24755727BACKGROUND
  • Sackeim HA. Memory and ECT: from polarization to reconciliation. J ECT. 2000 Jun;16(2):87-96. doi: 10.1097/00124509-200006000-00001. No abstract available.

    PMID: 10868319BACKGROUND
  • Redlich R, Opel N, Grotegerd D, Dohm K, Zaremba D, Burger C, Munker S, Muhlmann L, Wahl P, Heindel W, Arolt V, Alferink J, Zwanzger P, Zavorotnyy M, Kugel H, Dannlowski U. Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data. JAMA Psychiatry. 2016 Jun 1;73(6):557-64. doi: 10.1001/jamapsychiatry.2016.0316.

    PMID: 27145449BACKGROUND

MeSH Terms

Conditions

DepressionCognitive DysfunctionMemory Disorders

Condition Hierarchy (Ancestors)

Behavioral SymptomsBehaviorCognition DisordersNeurocognitive DisordersMental DisordersNeurobehavioral ManifestationsNeurologic ManifestationsNervous System DiseasesSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Rene Hurlemann, Prof.

    University Hospital, Bonn

    STUDY DIRECTOR

Central Study Contacts

Maximilian Kiebs, M.Sc.

CONTACT

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Prof. Dr. Dr.

Study Record Dates

First Submitted

March 29, 2018

First Posted

April 6, 2018

Study Start

January 2, 2018

Primary Completion

December 1, 2021

Study Completion

December 1, 2022

Last Updated

May 25, 2022

Record last verified: 2022-05

Data Sharing

IPD Sharing
Will not share

Locations