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Singh B, Yocum AK, Strawbridge R, Burdick KE, Millett CE, Peters AT, Sperry SH, Fico G, Vieta E, Verdolini N, Godin O, Leboyer M, Etain B, Tso IF, Coombes BJ, McInnis MG, Nierenberg AA, Young AH, Ashton MM, Berk M, Williams LJ, Keramatian K, Yatham LN, Overs BJ, Fullerton JM, Roberts G, Mitchell PB, Andreassen OA, Andreazza AC, Zandi PP, Pham D, Biernacka JM, Frye MA. Patterns of pharmacotherapy for bipolar disorder: A GBC survey. Bipolar Disord 2024; 26:22-32. [PMID: 37463846 PMCID: PMC10794603 DOI: 10.1111/bdi.13366] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
OBJECTIVES To understand treatment practices for bipolar disorders (BD), this study leveraged the Global Bipolar Cohort collaborative network to investigate pharmacotherapeutic treatment patterns in multiple cohorts of well-characterized individuals with BD in North America, Europe, and Australia. METHODS Data on pharmacotherapy, demographics, diagnostic subtypes, and comorbidities were provided from each participating cohort. Individual site and regional pooled proportional meta-analyses with generalized linear mixed methods were conducted to identify prescription patterns. RESULTS This study included 10,351 individuals from North America (n = 3985), Europe (n = 3822), and Australia (n = 2544). Overall, participants were predominantly female (60%) with BD-I (60%; vs. BD-II = 33%). Cross-sectionally, mood-stabilizing anticonvulsants (44%), second-generation antipsychotics (42%), and antidepressants (38%) were the most prescribed medications. Lithium was prescribed in 29% of patients, primarily in the Australian (31%) and European (36%) cohorts. First-generation antipsychotics were prescribed in 24% of the European versus 1% in the North American cohort. Antidepressant prescription rates were higher in BD-II (47%) compared to BD-I (35%). Major limitations were significant differences among cohorts based on inclusion/exclusion criteria, data source, and time/year of enrollment into cohort. CONCLUSIONS Mood-stabilizing anticonvulsants, second-generation antipsychotics, and antidepressants were the most prescribed medications suggesting prescription patterns that are not necessarily guideline concordant. Significant differences exist in the prescription practices across different geographic regions, especially the underutilization of lithium in the North American cohorts and the higher utilization of first-generation antipsychotics in the European cohorts. There is a need to conduct future longitudinal studies to further explore these differences and their impact on outcomes, and to inform and implement evidence-based guidelines to help improve treatment practices in BD.
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Affiliation(s)
- Balwinder Singh
- Mayo Clinic, Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Anastasia K Yocum
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Rebecca Strawbridge
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Katherine E Burdick
- Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Caitlin E Millett
- Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Amy T Peters
- Dauten Family Center for Bipolar Treatment Innovation, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sarah H Sperry
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Giovanna Fico
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
- Local Health Unit Umbria 1, Department of Mental Health, Mental Health Center of Perugia, Perugia, Italy
| | - Ophelia Godin
- INSERM U955, IMRB, Translational Neuro-Psychiatry, Fondation FondaMental, Univ Paris Est Créteil, Créteil, France
- Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), APHP, Hôpitaux Universitaires Henri Mondor, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France
| | - Marion Leboyer
- INSERM U955, IMRB, Translational Neuro-Psychiatry, Fondation FondaMental, Univ Paris Est Créteil, Créteil, France
- Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), APHP, Hôpitaux Universitaires Henri Mondor, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France
| | - Bruno Etain
- Groupe Hospitalo-universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, INSERM UMRS 1144, Université de Paris, AP-HP, Paris, France
| | - Ivy F Tso
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
- Department of Psychiatry & Behavioral Health, The Ohio State University, Columbus, Ohio, USA
| | - Brandon J Coombes
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Andrew A Nierenberg
- Dauten Family Center for Bipolar Treatment Innovation, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Melanie M Ashton
- IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
| | - Michael Berk
- IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - Lana J Williams
- IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
| | - Kamyar Keramatian
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Bronwyn J Overs
- Neuroscience Research Australia, Randwick, Sydney, New South Wales, Australia
| | - Janice M Fullerton
- Neuroscience Research Australia, Randwick, Sydney, New South Wales, Australia
- School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Gloria Roberts
- School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Philip B Mitchell
- School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Ole A Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Ana C Andreazza
- Department of Pharmacology & Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Peter P Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Daniel Pham
- The Milken Institute, Washington, District of Columbia, USA
| | - Joanna M Biernacka
- Mayo Clinic, Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota, USA
- Groupe Hospitalo-universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, INSERM UMRS 1144, Université de Paris, AP-HP, Paris, France
| | - Mark A Frye
- Mayo Clinic, Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota, USA
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Lavin P, Rej S, Olagunju AT, Teixeira AL, Dols A, Alda M, Almeida OP, Altinbas K, Balanzá-Martínez V, Barbosa IG, Blumberg HP, Briggs F, Calkin C, Cassidy K, Forester BP, Forlenza OV, Hajek T, Haarman BCM, Jimenez E, Lafer B, Mulsant B, Oluwaniyi SO, Patrick R, Radua J, Schouws S, Sekhon H, Simhandl C, Soares JC, Tsai SY, Vieta E, Villa LM, Sajatovic M, Eyler LT. Essential data dimensions for prospective international data collection in older age bipolar disorder (OABD): Recommendations from the GAGE-BD group. Bipolar Disord 2023; 25:554-563. [PMID: 36843436 DOI: 10.1111/bdi.13312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Abstract
BACKGROUND By 2030, over 50% of individuals living with bipolar disorder (BD) are expected to be aged ≥50 years. However, older age bipolar disorder (OABD) remains understudied. There are limited large-scale prospectively collected data organized in key dimensions capable of addressing several fundamental questions about BD affecting this subgroup of patients. METHODS We developed initial recommendations for the essential dimensions for OABD data collection, based on (1) a systematic review of measures used in OABD studies, (2) a Delphi consensus of international OABD experts, (3) experience with harmonizing OABD data in the Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD, n ≥ 4500 participants), and (4) critical feedback from 34 global experts in geriatric mental health. RESULTS We identified 15 key dimensions and variables within each that are relevant for the investigation of OABD: (1) demographics, (2) core symptoms of depression and (3) mania, (4) cognition screening and subjective cognitive function, (5) elements for BD diagnosis, (6) descriptors of course of illness, (7) treatment, (8) suicidality, (9) current medication, (10) psychiatric comorbidity, (11) psychotic symptoms, (12) general medical comorbidities, (13) functioning, (14) family history, and (15) other. We also recommend particular instruments for capturing some of the dimensions and variables. CONCLUSION The essential data dimensions we present should be of use to guide future international data collection in OABD and clinical practice. In the longer term, we aim to establish a prospective consortium using this core set of dimensions and associated variables to answer research questions relevant to OABD.
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Affiliation(s)
- Paola Lavin
- Department of Geriatric Psychiatry, Department of Psychiatry, Jewish General Hospital/Lady Davis Institute, McGill University, Montreal, Quebec, Canada
| | - Soham Rej
- Department of Geriatric Psychiatry, Department of Psychiatry, Jewish General Hospital/Lady Davis Institute, McGill University, Montreal, Quebec, Canada
| | - Andrew T Olagunju
- Department of Psychiatry and Behavioral Neurosciences, McMaster University/St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Antonio L Teixeira
- Department of Psychiatry and Behavioral Sciences, University of Texas/McGovern Medical School, Houston, Texas, USA
| | - Annemieke Dols
- Department of Old Age Psychiatry, GGZ inGeest, Amsterdam, The Netherlands
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Osvaldo P Almeida
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Kursat Altinbas
- Selçuk University Medical Faculty, Department of Psychiatry, Mazhar Osman Mood Clinic, Konya, Turkey
| | - Vicent Balanzá-Martínez
- Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, CIBERSAM, Valencia, Spain
| | - Izabela G Barbosa
- Laboratório Interdisciplinar de Investigação Médica da Faculdad de Medicina, Universidad Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Hilary P Blumberg
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - Farren Briggs
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Cynthia Calkin
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Kristin Cassidy
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Brent P Forester
- Division of Geriatric Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Orestes V Forlenza
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry, HCFMUSP, Faculdad de Medicina da Universidad de São Paulo, São Paulo, Brazil
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - Barthomeus C M Haarman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Esther Jimenez
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Beny Lafer
- Department of Psychiatry, University of Sao Paulo, São Paulo, Brazil
| | - Benoit Mulsant
- Department of Psychiatry, University of Toronto, Center for Addiction and Mental Health, Toronto, Ontario, Canada
| | | | - Regan Patrick
- Division of Geriatric Psychiatry, McLean Hospital, Belmont, Massachusetts, USA
| | - Joaquim Radua
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
- Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Solna, Sweden
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Sigfried Schouws
- Department of Old Age Psychiatry, GGZ inGeest, Amsterdam, The Netherlands
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Harmehr Sekhon
- Department of Geriatric Psychiatry, Department of Psychiatry, Jewish General Hospital/Lady Davis Institute, McGill University, Montreal, Quebec, Canada
- Division of Geriatric Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Christian Simhandl
- Medical Faculty, Bipolar Center Wiener Neustadt, Sigmund Freud University, Wien, Austria
| | - Jair C Soares
- Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, CIBERSAM, Valencia, Spain
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, UTHealth Houston, Texas, USA
| | - Shang-Ying Tsai
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Luca M Villa
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Martha Sajatovic
- Departments of Psychiatry and of Neurology, Case Western Reserve University School of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, San Diego, California, USA
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, California, USA
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Bhatnagar A, Murray G, Ray S. Circadian biology to advance therapeutics for mood disorders. Trends Pharmacol Sci 2023; 44:689-704. [PMID: 37648611 DOI: 10.1016/j.tips.2023.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 07/30/2023] [Accepted: 07/30/2023] [Indexed: 09/01/2023]
Abstract
Mood disorders account for a significant global disease burden, and pharmacological innovation is needed as existing medications are suboptimal. A wide range of evidence implicates circadian and sleep dysfunction in the pathogenesis of mood disorders, and there is growing interest in these chronobiological pathways as a focus for treatment innovation. We review contemporary evidence in three promising areas in circadian-clock-based therapeutics in mood disorders: targeting the circadian system informed by mechanistic molecular advances; time-tailoring of medications; and personalizing treatment using circadian parameters. We also consider the limitations and challenges in accelerating the development of new circadian-informed pharmacotherapies for mood disorders.
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Affiliation(s)
- Apoorva Bhatnagar
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, 502284, Telangana, India; Centre for Mental Health, Swinburne University of Technology, Melbourne, Victoria, Australia
| | - Greg Murray
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Victoria, Australia.
| | - Sandipan Ray
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, 502284, Telangana, India.
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Vieta E. MOVING FORWARD IN BIPOLAR DISORDER RESEARCH. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2023; 16:207-208. [PMID: 38043947 DOI: 10.1016/j.sjpmh.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 11/13/2023] [Indexed: 12/05/2023]
Affiliation(s)
- Eduard Vieta
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona. c. Villarroel, 170, 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036, Barcelona, Spain; Institute of Neurosciences (UBNeuro); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
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Wyszogrodzka-Gaweł G, Shuklinova O, Lisowski B, Wiśniowska B, Polak S. 3D printing combined with biopredictive dissolution and PBPK/PD modeling optimization and personalization of pharmacotherapy: Are we there yet? Drug Discov Today 2023; 28:103731. [PMID: 37541422 DOI: 10.1016/j.drudis.2023.103731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/25/2023] [Accepted: 07/28/2023] [Indexed: 08/06/2023]
Abstract
Precision medicine requires selecting the appropriate dosage regimen for a patient using the right drug, at the right time. Model-Informed Precision Dosing (MIPD) is a concept suggesting utilization of model-based prediction methods for optimizing the treatment benefit-harm balance, based on individual characteristics of the patient, disease, treatment method, and other factors. Here, we discuss a theoretical workflow comprising several elements, beginning from the physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) models, through 3D printed tablets with the model proposed dose, information range and flow, and the patient themselves. We also describe each of these elements, and the connection between them, highlighting challenges and potential obstacles.
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Affiliation(s)
- Gabriela Wyszogrodzka-Gaweł
- Department of Social Pharmacy, Faculty of Pharmacy, Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland.
| | - Olha Shuklinova
- Chair of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy. Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland
| | - Bartek Lisowski
- Chair of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy. Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland.
| | - Barbara Wiśniowska
- Chair of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy. Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland.
| | - Sebastian Polak
- Chair of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy. Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland.
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Wrobel AL, Cotton SM, Jayasinghe A, Diaz‐Byrd C, Yocum AK, Turner A, Dean OM, Russell SE, Duval ER, Ehrlich TJ, Marshall DF, Berk M, McInnis MG. Childhood trauma and depressive symptoms in bipolar disorder: A network analysis. Acta Psychiatr Scand 2023; 147:286-300. [PMID: 36645036 PMCID: PMC10953422 DOI: 10.1111/acps.13528] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 12/15/2022] [Accepted: 12/21/2022] [Indexed: 01/17/2023]
Abstract
BACKGROUND Childhood trauma is related to an increased number of depressive episodes and more severe depressive symptoms in bipolar disorder. The evaluation of the networks of depressive symptoms-or the patterns of relationships between individual symptoms-among people with bipolar disorder with and without a history of childhood trauma may assist in further clarifying this complex relationship. METHODS Data from over 500 participants from the Heinz C. Prechter Longitudinal Study of Bipolar Disorder were used to construct a series of regularised Gaussian Graphical Models. The networks of individual depressive symptoms-self-reported (Patient Health Questionnaire-9; n = 543) and clinician-rated (Hamilton Depression Rating Scale-17; n = 529)-among participants with bipolar disorder with and without a history of childhood trauma (Childhood Trauma Questionnaire) were characterised and compared. RESULTS Across the sets of networks, depressed mood consistently emerged as a central symptom (as indicated by strength centrality and expected influence); regardless of participants' history of childhood trauma. Additionally, feelings of worthlessness emerged as a key symptom in the network of self-reported depressive symptoms among participants with-but not without-a history of childhood trauma. CONCLUSION The present analyses-although exploratory-provide nuanced insights into the impact of childhood trauma on the presentation of depressive symptoms in bipolar disorder, which have the potential to aid detection and inform targeted intervention development.
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Affiliation(s)
- Anna L. Wrobel
- IMPACT – The Institute for Mental and Physical Health and Clinical Translation, School of MedicineDeakin UniversityGeelongVictoriaAustralia
- OrygenParkvilleVictoriaAustralia
| | - Sue M. Cotton
- OrygenParkvilleVictoriaAustralia
- Centre for Youth Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
| | - Anuradhi Jayasinghe
- OrygenParkvilleVictoriaAustralia
- School of PsychologyDeakin UniversityGeelongVictoriaAustralia
| | - Claudia Diaz‐Byrd
- Department of PsychiatryUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
| | - Anastasia K. Yocum
- Department of PsychiatryUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
| | - Alyna Turner
- IMPACT – The Institute for Mental and Physical Health and Clinical Translation, School of MedicineDeakin UniversityGeelongVictoriaAustralia
- School of Medicine and Public HealthUniversity of NewcastleCallaghanNew South WalesAustralia
| | - Olivia M. Dean
- IMPACT – The Institute for Mental and Physical Health and Clinical Translation, School of MedicineDeakin UniversityGeelongVictoriaAustralia
- Florey Institute for Neuroscience and Mental HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - Samantha E. Russell
- IMPACT – The Institute for Mental and Physical Health and Clinical Translation, School of MedicineDeakin UniversityGeelongVictoriaAustralia
| | - Elizabeth R. Duval
- Department of PsychiatryUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
| | - Tobin J. Ehrlich
- Department of PsychiatryUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
| | - David F. Marshall
- Department of PsychiatryUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
| | - Michael Berk
- IMPACT – The Institute for Mental and Physical Health and Clinical Translation, School of MedicineDeakin UniversityGeelongVictoriaAustralia
- OrygenParkvilleVictoriaAustralia
- Centre for Youth Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
- Florey Institute for Neuroscience and Mental HealthUniversity of MelbourneMelbourneVictoriaAustralia
- Department of Psychiatry, Royal Melbourne HospitalUniversity of MelbourneParkvilleVictoriaAustralia
| | - Melvin G. McInnis
- Department of PsychiatryUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
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De Berardis D, Fornaro M, Carmassi C. Editorial: Comorbidity in bipolar disorder, volume II. Front Psychiatry 2023; 14:1115357. [PMID: 36926462 PMCID: PMC10011613 DOI: 10.3389/fpsyt.2023.1115357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 02/13/2023] [Indexed: 03/08/2023] Open
Affiliation(s)
- Domenico De Berardis
- Department of Psychiatry, Azienda Sanitaria Locale 4, Teramo, Italy.,School of Nursing, University of L'Aquila, L'Aquila, Italy.,International Centre for Education and Research in Neuropsychiatry, Samara State Medical University, Samara, Russia
| | - Michele Fornaro
- School of Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Claudia Carmassi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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Nunes A, Singh S, Allman J, Becker S, Ortiz A, Trappenberg T, Alda M. A critical evaluation of dynamical systems models of bipolar disorder. Transl Psychiatry 2022; 12:416. [PMID: 36171199 PMCID: PMC9519533 DOI: 10.1038/s41398-022-02194-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 09/18/2022] [Accepted: 09/20/2022] [Indexed: 12/02/2022] Open
Abstract
Bipolar disorder (BD) is a mood disorder involving recurring (hypo)manic and depressive episodes. The inherently temporal nature of BD has inspired its conceptualization using dynamical systems theory, which is a mathematical framework for understanding systems that evolve over time. In this paper, we provide a critical review of the dynamical systems models of BD. Owing to the heterogeneity of methodological and experimental designs in computational modeling, we designed a structured approach that parallels the appraisal of animal models by their face, predictive, and construct validity. This tool, the validity appraisal guide for computational models (VAG-CM), is not an absolute measure of validity, but rather a guide for a more objective appraisal of models in this review. We identified 26 studies published before November 18, 2021 that proposed generative dynamical systems models of time-varying signals in BD. Two raters independently applied the VAG-CM to the included studies, obtaining a mean Cohen's κ of 0.55 (95% CI [0.45, 0.64]) prior to establishing consensus ratings. Consensus VAG-CM ratings revealed three model/study clusters: data-driven models with face validity, theory-driven models with predictive validity, and theory-driven models lacking all forms of validity. We conclude that future modeling studies should employ a hybrid approach that first operationalizes BD features of interest using empirical data to achieve face validity, followed by explanations of those features using generative models with components that are homologous to physiological or psychological systems involved in BD, to achieve construct validity. Such models would be best developed alongside long-term prospective cohort studies involving a collection of multimodal time-series data. We also encourage future studies to extend, modify, and evaluate the VAG-CM approach for a wider breadth of computational modeling studies and psychiatric disorders.
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Affiliation(s)
- Abraham Nunes
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.
- Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada.
| | - Selena Singh
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Jared Allman
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Suzanna Becker
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Abigail Ortiz
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Centre for Addiction & Mental Health, Toronto, ON, Canada
| | | | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
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