UM  > INSTITUTE OF COLLABORATIVE INNOVATION
Residential Collegefalse
Status已發表Published
Deep phenotyping towards precision psychiatry of first-episode depression — the Brain Drugs-Depression cohort
Jensen,Kristian Høj Reveles1,2,3,4; Dam,Vibeke H.1,2; Ganz,Melanie2,5; Fisher,Patrick Mac Donald1,2; Ip,Cheng Teng2,6; Sankar,Anjali1,2; Marstrand-Joergensen,Maja Rou1,2,3,7; Ozenne,Brice2,8; Osler,Merete9,10; Penninx,Brenda W.J.H.11; Pinborg,Lars H.1,2,3,7; Frokjaer,Vibe Gedsø1,2,3,4; Knudsen,Gitte Moos1,2,3,7; Jørgensen,Martin Balslev1,2,3,4
2023-05-09
Source PublicationBMC Psychiatry
ISSN1471-244X
Volume23Issue:1Pages:151
Abstract

Background: Major Depressive Disorder (MDD) is a heterogenous brain disorder, with potentially multiple psychosocial and biological disease mechanisms. This is also a plausible explanation for why patients do not respond equally well to treatment with first- or second-line antidepressants, i.e., one-third to one-half of patients do not remit in response to first- or second-line treatment. To map MDD heterogeneity and markers of treatment response to enable a precision medicine approach, we will acquire several possible predictive markers across several domains, e.g., psychosocial, biochemical, and neuroimaging. Methods: All patients are examined before receiving a standardised treatment package for adults aged 18–65 with first-episode depression in six public outpatient clinics in the Capital Region of Denmark. From this population, we will recruit a cohort of 800 patients for whom we will acquire clinical, cognitive, psychometric, and biological data. A subgroup (subcohort I, n = 600) will additionally provide neuroimaging data, i.e., Magnetic Resonance Imaging, and Electroencephalogram, and a subgroup of patients from subcohort I unmedicated at inclusion (subcohort II, n = 60) will also undergo a brain Positron Emission Tomography with the [C]-UCB-J tracer binding to the presynaptic glycoprotein-SV2A. Subcohort allocation is based on eligibility and willingness to participate. The treatment package typically lasts six months. Depression severity is assessed with the Quick Inventory of Depressive Symptomatology (QIDS) at baseline, and 6, 12 and 18 months after treatment initiation. The primary outcome is remission (QIDS ≤ 5) and clinical improvement (≥ 50% reduction in QIDS) after 6 months. Secondary endpoints include remission at 12 and 18 months and %-change in QIDS, 10-item Symptom Checklist, 5-item WHO Well-Being Index, and modified Disability Scale from baseline through follow-up. We also assess psychotherapy and medication side-effects. We will use machine learning to determine a combination of characteristics that best predict treatment outcomes and statistical models to investigate the association between individual measures and clinical outcomes. We will assess associations between patient characteristics, treatment choices, and clinical outcomes using path analysis, enabling us to estimate the effect of treatment choices and timing on the clinical outcome. Discussion: The BrainDrugs-Depression study is a real-world deep-phenotyping clinical cohort study of first-episode MDD patients. Trial Registration: Registered at clinicaltrials.gov November 15th, 2022 (NCT05616559).

KeywordBiomarker Cognition Eeg Major Depressive Disorder Mri Pet Precision Medicine Psychotherapy Ssri Synaptic Density
DOI10.1186/s12888-023-04618-x
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaPsychiatry
WOS SubjectPsychiatry
WOS IDWOS:000948757200004
PublisherBMC, CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
Scopus ID2-s2.0-85149657955
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionINSTITUTE OF COLLABORATIVE INNOVATION
Corresponding AuthorJørgensen,Martin Balslev
Affiliation1.BrainDrugs,Copenhagen University Hospital Rigshospitalet,Copenhagen,Denmark
2.Neurobiology Research Unit,Copenhagen University Hospital,Rigshospitalet,Copenhagen,Denmark
3.Department of Clinical Medicine,University of Copenhagen,Copenhagen,Denmark
4.Psychiatric Centre Copenhagen,Copenhagen,Denmark
5.Department of Computer Science,University of Copenhagen,Copenhagen,Denmark
6.Center for Cognitive and Brain Sciences,University of Macau,Taipa,SAR,Macao
7.Department of Neurology,Copenhagen University Hospital Rigshospitalet,Copenhagen,Denmark
8.Department of Public Health,Section of Biostatistics,University of Copenhagen,Copenhagen,Denmark
9.Center for Clinical Research and Prevention,Copenhagen,Bispebjerg & Frederiksberg Hospitals,Denmark
10.Department of Public Health,Section of Epidemiology,University of Copenhagen,Copenhagen,Denmark
11.Department of Psychiatry,Amsterdam UMC,Vrije Universiteit,Amsterdam,Netherlands
Recommended Citation
GB/T 7714
Jensen,Kristian Høj Reveles,Dam,Vibeke H.,Ganz,Melanie,et al. Deep phenotyping towards precision psychiatry of first-episode depression — the Brain Drugs-Depression cohort[J]. BMC Psychiatry, 2023, 23(1), 151.
APA Jensen,Kristian Høj Reveles., Dam,Vibeke H.., Ganz,Melanie., Fisher,Patrick Mac Donald., Ip,Cheng Teng., Sankar,Anjali., Marstrand-Joergensen,Maja Rou., Ozenne,Brice., Osler,Merete., Penninx,Brenda W.J.H.., Pinborg,Lars H.., Frokjaer,Vibe Gedsø., Knudsen,Gitte Moos., & Jørgensen,Martin Balslev (2023). Deep phenotyping towards precision psychiatry of first-episode depression — the Brain Drugs-Depression cohort. BMC Psychiatry, 23(1), 151.
MLA Jensen,Kristian Høj Reveles,et al."Deep phenotyping towards precision psychiatry of first-episode depression — the Brain Drugs-Depression cohort".BMC Psychiatry 23.1(2023):151.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jensen,Kristian...]'s Articles
[Dam,Vibeke H.]'s Articles
[Ganz,Melanie]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jensen,Kristian...]'s Articles
[Dam,Vibeke H.]'s Articles
[Ganz,Melanie]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jensen,Kristian...]'s Articles
[Dam,Vibeke H.]'s Articles
[Ganz,Melanie]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.