NCT03088657|Unknown
Design and Methods of the Mood Disorder Cohort Research Consortium (MDCRC) Study
Mood Disorder Cohort Research Consortium (MDCRC) in Korea
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Mood Disorder Cohort Research Consortium (MDCRC) in Korea
Sponsor study identifier
observational
500
1 country
1
Study Start
September 2015
Date type not reportedThis date has not been verified as actual or estimated.
Primary Completion
July 2022
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
September 2022
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
The Mood Disorder Cohort Research Consortium (MDCRC) study is designed as a naturalistic observational prospective cohort study for early-onset mood disorders (major depressive disorders, bipolar disorders type 1 and 2) in South Korea.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
September 2022
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Click on a node to explore related trials.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
September 2015
Date type not reportedThis date has not been verified as actual or estimated.
March 3, 2017
Actual (reported)March 23, 2017
Actual (reported)July 2022
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
September 2022
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
illness severity and change in patients by using Clinical Global Impression-Bipolar score
3months
Scores of depressive symptoms as assessed by MADRS
3months
Scores of manic symptoms as assessed by YMRS
3months
Daily mood chart
3 months
Sleep
3months
Activity
3months
mood disorder patients who fulfill the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) for major depressive disorder, bipolar I disorder, or bipolar II disorder
Heon-Jeong Lee
Seoul, South Korea
Cho CH, Ahn YM, Kim SJ, Ha TH, Jeon HJ, Cha B, Moon E, Park DY, Baek JH, Kang HJ, Ryu V, An H, Lee HJ. Design and Methods of the Mood Disorder Cohort Research Consortium (MDCRC) Study. Psychiatry Investig. 2017 Jan;14(1):100-106. doi: 10.4306/pi.2017.14.1.100. Epub 2016 Dec 29.
Chang SM, Hong JP, Cho MJ. Economic burden of depression in South Korea. Soc Psychiatry Psychiatr Epidemiol. 2012 May;47(5):683-9. doi: 10.1007/s00127-011-0382-8. Epub 2011 Apr 28.
blood 10cc
Heon-Jeong Lee, MD, PhD
'Korea University Anam Hospital' in Seoul, Korea
First Submitted
March 3, 2017
First Posted
March 23, 2017
Study Start
September 2015
Date type not reportedThis date has not been verified as actual or estimated.
Primary Completion
July 2022
Delivering Telemetry-Triggered Educational Content Using MyChart in Mood Disorders
Contact the study team to confirm eligibility.
Murphy JA, Byrne GJ. Prevalence and correlates of the proposed DSM-5 diagnosis of Chronic Depressive Disorder. J Affect Disord. 2012 Jul;139(2):172-80. doi: 10.1016/j.jad.2012.01.033. Epub 2012 Mar 3.
Hunter AM, Leuchter AF, Morgan ML, Cook IA. Changes in brain function (quantitative EEG cordance) during placebo lead-in and treatment outcomes in clinical trials for major depression. Am J Psychiatry. 2006 Aug;163(8):1426-32. doi: 10.1176/ajp.2006.163.8.1426.
Tenke CE, Kayser J, Manna CG, Fekri S, Kroppmann CJ, Schaller JD, Alschuler DM, Stewart JW, McGrath PJ, Bruder GE. Current source density measures of electroencephalographic alpha predict antidepressant treatment response. Biol Psychiatry. 2011 Aug 15;70(4):388-94. doi: 10.1016/j.biopsych.2011.02.016. Epub 2011 Apr 20.
Iosifescu DV, Greenwald S, Devlin P, Perlis RH, Denninger JW, Alpert JE, Fava M. Pretreatment frontal EEG and changes in suicidal ideation during SSRI treatment in major depressive disorder. Acta Psychiatr Scand. 2008 Apr;117(4):271-6. doi: 10.1111/j.1600-0447.2008.01156.x. Epub 2008 Feb 26.
Chang JS, Yoo CS, Yi SH, Her JY, Choi HM, Ha TH, Park T, Ha K. An integrative assessment of the psychophysiologic alterations in young women with recurrent major depressive disorder. Psychosom Med. 2012 Jun;74(5):495-500. doi: 10.1097/PSY.0b013e31824d0da0. Epub 2012 Mar 9.
Suto T, Fukuda M, Ito M, Uehara T, Mikuni M. Multichannel near-infrared spectroscopy in depression and schizophrenia: cognitive brain activation study. Biol Psychiatry. 2004 Mar 1;55(5):501-11. doi: 10.1016/j.biopsych.2003.09.008.
Kromer SA, Kessler MS, Milfay D, Birg IN, Bunck M, Czibere L, Panhuysen M, Putz B, Deussing JM, Holsboer F, Landgraf R, Turck CW. Identification of glyoxalase-I as a protein marker in a mouse model of extremes in trait anxiety. J Neurosci. 2005 Apr 27;25(17):4375-84. doi: 10.1523/JNEUROSCI.0115-05.2005.
Paige LA, Mitchell MW, Krishnan KR, Kaddurah-Daouk R, Steffens DC. A preliminary metabolomic analysis of older adults with and without depression. Int J Geriatr Psychiatry. 2007 May;22(5):418-23. doi: 10.1002/gps.1690.
Yang Z, Ma X, Wang Y, Wang J, Xiang B, Wu J, Deng W, Li M, Wang Q, Li T. Association of APC and REEP5 gene polymorphisms with major depression disorder and treatment response to antidepressants in a Han Chinese population. Gen Hosp Psychiatry. 2012 Sep-Oct;34(5):571-7. doi: 10.1016/j.genhosppsych.2012.05.015. Epub 2012 Jul 12.
Kocabas NA. Catechol-O-methyltransferase (COMT) pharmacogenetics in the treatment response phenotypes of major depressive disorder (MDD). CNS Neurol Disord Drug Targets. 2012 May;11(3):264-72. doi: 10.2174/187152712800672445.
Dreimuller N, Tadic A, Dragicevic A, Boland K, Bondy B, Lieb K, Laux G, Maier W, Muller MJ, Rao ML, Rietschel M, Roschke J, Zill P, Hiemke C. The serotonin transporter promoter polymorphism (5-HTTLPR) affects the relation between antidepressant serum concentrations and effectiveness in major depression. Pharmacopsychiatry. 2012 May;45(3):108-13. doi: 10.1055/s-0031-1291347. Epub 2011 Nov 15.
Lim D, Jeong J, Song YM, Cho CH, Yeom JW, Lee T, Lee JB, Lee HJ, Kim JK. Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features. NPJ Digit Med. 2024 Nov 18;7(1):324. doi: 10.1038/s41746-024-01333-z.
Cho CH, Lee T, Lee JB, Seo JY, Jee HJ, Son S, An H, Kim L, Lee HJ. Effectiveness of a Smartphone App With a Wearable Activity Tracker in Preventing the Recurrence of Mood Disorders: Prospective Case-Control Study. JMIR Ment Health. 2020 Aug 5;7(8):e21283. doi: 10.2196/21283.
This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
September 2022
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Last Updated
February 27, 2019
Record last verified: 2019-02
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