How Real-World Data Can Facilitate the Development of Precision Medicine Treatment in Psychiatry

被引：4

作者：

Koch, Elise ^{[1
,2
]}

Pardinas, Antonio F. ^{[2
]}

O'Connell, Kevin S. ^{[2
,3
]}

Selvaggi, Pierluigi ^{[1
,4
]}

Collados, Jose Camacho ^{[5
]}

Babic, Aleksandar ^{[6
]}

Marshall, Serena E. ^{[6
]}

van der Eycken, Erik ^{[7
]}

Angulo, Cecilia ^{[7
]}

Lu, Yi ^{[8
]}

Sullivan, Patrick F. ^{[8
,9
,10
]}

Dale, Anders M. ^{[11
]}

Molden, Espen ^{[15
]}

Posthuma, Danielle ^{[16
]}

White, Nathan ^{[17
]}

Schubert, Alexander ^{[12
,13
,14
,18
]}

Djurovic, Srdjan ^{[19
,20
]}

Heimer, Hakon ^{[1
,2
,21
]}

Stefansson, Hreinn ^{[22
]}

Stefansson, Kari ^{[22
]}

Werge, Thomas ^{[23
,24
,25
]}

Sonderby, Ida ^{[1
,2
,19
,26
,27
]}

O'Donovan, Michael C. ^{[3
]}

Walters, James T. R. ^{[3
]}

Milani, Lili ^{[28
,29
]}

Andreassen, Ole A. ^{[1
,2
,26
,27
]}

机构：

[1] Oslo Univ Hosp, Norwegian Ctr Mental Disorders Res, Div Mental Hlth & Addict, Oslo, Norway

[2] Univ Oslo, Inst Clin Med, Oslo, Norway

[3] Cardiff Univ, Ctr Neuropsychiat Genet & Genom, Sch Med, Div Psychol Med & Clin Neurosci, Cardiff, Wales

[4] Univ Bari Aldo Moro, Dept Translat Biomed & Neurosci, Bari, Italy

[5] Cardiff Univ, Sch Comp Sci & Informat, CardiffNLP, Cardiff, Wales

[6] Det Norske Veritas, Oslo, Norway

[7] Global Alliance Mental Illness Advocacy Networks E, Brussels, Belgium

[8] Karolinska Inst, Dept Med Epidemiol & Biostat, Solna, Sweden

[9] Univ N Carolina, Dept Psychiat, Chapel Hill, NC USA

[10] Univ N Carolina, Dept Psychiat, Chapel Hill, NC USA

[11] Univ Calif San Diego, Multimodal Imaging Lab, La Jolla, CA USA

[12] Univ Calif San Diego, Dept Radiol, La Jolla, CA USA

[13] Univ Calif San Diego, Dept Psychiat, La Jolla, CA USA

[14] Univ Calif San Diego, Dept Neurosci, La Jolla, CA USA

[15] Diakonhjemmet Hosp, Ctr Psychopharmacol, Oslo, Norway

[16] Vrije Univ Amsterdam, Ctr Neurogenom & Cognit Res, Dept Complex Trait Genet, Amsterdam Neurosci, Amsterdam, Netherlands

[17] CorTechs Labs Inc, San Diego, CA USA

[18] European Coll Neuropsychopharmacol, Utrecht, Netherlands

[19] Oslo Univ Hosp, Dept Med Genet, Oslo, Norway

[20] Univ Bergen, Norwegian Ctr, Dept Clin Sci, Mental Disorders Res Ctr, Bergen, Norway

[21] Nord Soc Human Genet & Precis Med, Copenhagen, Denmark

[22] deCODEGenet, Reykjavik, Iceland

[23] Mental Hlth Serv Copenhagen, Inst Biol Psychiat, Mental Hlth Ctr Sct Hans, Roskilde, Denmark

[24] Lundbeck Fdn Initiat Integrat Psychiat Res, Copenhagen, Denmark

[25] Univ Copenhagen, Lundbeck Fdn GeoGenet Ctr, GLOBE Inst, Copenhagen, Denmark

[26] Univ Oslo, KG Jebsen Ctr Neurodev Disorders, Oslo, Norway

[27] Oslo Univ Hosp, Oslo, Norway

[28] Univ Tartu, Inst Genom, Estonian Genome Ctr, Tartu, Estonia

[29] Tartu Univ Hosp, Genet & Personalized Med Clin, Tartu, Estonia

来源：

BIOLOGICAL PSYCHIATRY | 2024年 / 96卷 / 07期

基金：

欧洲研究理事会; 英国医学研究理事会;

关键词：

MAJOR DEPRESSIVE DISORDER; MENTAL-DISORDERS; CARDIOVASCULAR-DISEASE; MEDICATION ADHERENCE; LARGE-SCALE; SCHIZOPHRENIA; ASSOCIATION; MORTALITY; METAANALYSIS; VARIANTS;

D O I：

10.1016/j.biopsych.2024.01.001

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Precision medicine has the ambition to improve treatment response and clinical outcomes through patient stratification and holds great potential for the treatment of mental disorders. However, several important factors are needed to transform current practice into a precision psychiatry framework. Most important are 1) the generation of accessible large real-world training and test data including genomic data integrated from multiple sources, 2) the development and validation of advanced analytical tools for stratification and prediction, and 3) the development of clinically useful management platforms for patient monitoring that can be integrated into health care systems in real- life settings. This narrative review summarizes strategies for obtaining the key elements-well-powered samples from large biobanks integrated with electronic health records and health registry data using novel artificial intelligence algorithms-to predict outcomes in severe mental disorders and translate these models into clinical management and treatment approaches. Key elements are massive mental health data and novel artificial intelligence algorithms. For the clinical translation of these strategies, we discuss a precision medicine platform for improved management of mental disorders. We use cases to illustrate how precision medicine interventions could be brought into psychiatry to improve the clinical outcomes of mental disorders.

引用

页码：543 / 551

页数：9

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