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Andric Petrovic S, Jankovic D, Kaurin N, Mandic Maravic V, Pesic D, Ristic I, Maric NP. Exploring real-world prescribing patterns for maintenance treatment in bipolar disorders: a focus on antidepressants and benzodiazepines. Int J Psychiatry Clin Pract 2024:1-8. [PMID: 39229635 DOI: 10.1080/13651501.2024.2398796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 08/02/2024] [Accepted: 08/26/2024] [Indexed: 09/05/2024]
Abstract
OBJECTIVE Bipolar disorders (BD) are characterized by highly recurrent nature, necessitating adequate maintenance treatment for long-term disorder control. This study aimed to investigate real-world prescribing patterns among outpatients with BD, focusing on the utilisation of antidepressants (AD) and benzodiazepines (BDZ). METHODS We analysed prescription patterns of the five main groups of psychotropic medications (antipsychotics, mood stabilizers, AD, BDZ, and anticholinergic medications) and their relationships with basic socio-demographic and clinical data in a sample of 107 clinically stable BD outpatients (75.7% female, age 44.8 ± 11.7). RESULTS Maintenance therapy predominantly involved polypharmacy (92.5%), with mood stabilizers (87.9%) and antipsychotics (80.4%, predominantly second-generation) being the most commonly prescribed. Our findings highlight a high percentage of patients prescribed AD (50.5%) and BDZ (54.2%). BDZ patients, compared to the non-BDZ group in maintenance treatment, were significantly older with longer psychiatric history and a decreased likelihood of comorbid personality disorder diagnoses. CONCLUSIONS This study offers insights into prescribing practices within a university psychiatric clinic in the Western Balkans. The prevalent use of polypharmacy in real-world clinical settings, along with high percentage of patients prescribed AD and BDZ, suggests a gap between guideline recommendations and clinical practice, indicating a lack of consensus or standardized approaches in clinical practice.
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Affiliation(s)
- Sanja Andric Petrovic
- Faculty of Medicine and Institute of Mental Health, University of Belgrade, Belgrade, Serbia
| | | | - Nina Kaurin
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Vanja Mandic Maravic
- Faculty of Medicine and Institute of Mental Health, University of Belgrade, Belgrade, Serbia
| | - Danilo Pesic
- Faculty of Medicine and Institute of Mental Health, University of Belgrade, Belgrade, Serbia
| | - Ivan Ristic
- Institute of Mental Health, Belgrade, Serbia
| | - Nadja P Maric
- Faculty of Medicine and Institute of Mental Health, University of Belgrade, Belgrade, Serbia
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Basquin L, Maruani J, Leseur J, Mauries S, Bazin B, Pineau G, Henry C, Lejoyeux M, Geoffroy PA. Study of the different sleep disturbances during the prodromal phase of depression and mania in bipolar disorders. Bipolar Disord 2024; 26:454-467. [PMID: 38653574 DOI: 10.1111/bdi.13429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
BACKGROUND One of the challenges in bipolar disorder (BD) lies in early detection of the illness and its recurrences, to improve prognosis. Sleep disturbances (SD) have been proposed as reliable predictive markers of conversion. While preliminary studies have explored the relationship between SD and the onset of mood episodes, the results remain heterogeneous and a few have specifically examined patients' perception of prodromal symptoms and their progression until the episode occurs. Identifying prodromes represents a crucial clinical challenge, as it enables early intervention, thereby reducing the severity of BD. Therefore, the objective of this study is to better characterize and evaluate the progressive nature of SD as prodromal symptoms of mood episodes, and patients' perception of it. METHODS Patients diagnosed with BD, either hospitalized or seeking treatment for a (hypo)manic or depressive episode benefited from standardized questionnaires, structured interviews, and self-report questionnaires to evaluate SD prior to the current episode, as well as sociodemographic and clinical information. RESULTS Out of the 41 patients included, 59% spontaneously reported SD prior to the episode, appearing 90 days before depression and 35 days before mania (pre-indexed/spontaneous reports: 51.22% insomnia complaints, 4.88% hypersomnolence complaints, 7.32% parasomnias, 2.44% sleep movements). After inquiry about specific SD, the percentage of patients reporting prodromal SD increased significantly to 83%, appearing 210 days before depression and 112.5 days before mania (post-indexed reports: 75.61% presented with insomnia complaints appearing 150 days before depression and 20 days before mania, 46.34% had hypersomnolence complaints appearing 60 days before depression, 43.9% had parasomnias appearing 210 days before depression and 22.5 days before mania, 36.59% had sleep movements appearing 120 days before depression and 150 days before mania). Of note, bruxism appeared in 35% of patients before mania, and restless legs syndrome in 20% of patients before depression. CONCLUSION This study highlights the very high prevalence of SD prior to a mood episode in patients with BD with differences between depressive and manic episodes. The more systematic screening of sleep alterations of the prodromal phase improved the recognition and characterization of different symptoms onset by patients. This underscores the need for precise questioning regarding sleep patterns in patients, to better identify the moment of transition toward a mood episode, referred to as "Chronos syndrome". The study emphasizes the importance of educating patients about the disorder and its sleep prodromal symptoms to facilitate early intervention and prevent recurrences.
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Affiliation(s)
- Louise Basquin
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, Paris, France
- NeuroDiderot, Inserm, FHU I2-D2, Université Paris Cité, Paris, France
| | - Julia Maruani
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, Paris, France
- NeuroDiderot, Inserm, FHU I2-D2, Université Paris Cité, Paris, France
- GHU Paris - Psychiatrie & Neurosciences, Paris, France
| | - Jeanne Leseur
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, Paris, France
| | - Sibylle Mauries
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, Paris, France
- NeuroDiderot, Inserm, FHU I2-D2, Université Paris Cité, Paris, France
- GHU Paris - Psychiatrie & Neurosciences, Paris, France
| | | | - Guillaume Pineau
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, Paris, France
| | - Chantal Henry
- GHU Paris - Psychiatrie & Neurosciences, Paris, France
- Department of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neurosciences, Paris, France
- Université de Paris, Paris, France
| | - Michel Lejoyeux
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, Paris, France
- NeuroDiderot, Inserm, FHU I2-D2, Université Paris Cité, Paris, France
- GHU Paris - Psychiatrie & Neurosciences, Paris, France
| | - Pierre A Geoffroy
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, Paris, France
- NeuroDiderot, Inserm, FHU I2-D2, Université Paris Cité, Paris, France
- GHU Paris - Psychiatrie & Neurosciences, Paris, France
- CNRS UPR 3212, Institute for Cellular and Integrative Neurosciences, Strasbourg, France
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Öz HS, Ayhan D, Öz F. Effects of Telenursing on Drug Attitudes, Self-Efficacy, and Quality of Life in Individuals With Schizophrenia: A Randomized Controlled Trial. J Psychosoc Nurs Ment Health Serv 2024:1-10. [PMID: 38709104 DOI: 10.3928/02793695-20240423-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
PURPOSE During the coronavirus disease 2019 pandemic, health services offered to individuals diagnosed with mental disorders were interrupted, and use of alternative methods, such as telenursing, came to the forefront. METHOD Sixty-four individuals with schizophrenia participated in the current randomized controlled trial that evaluated whether a telenursing intervention affected their drug attitudes, self-efficacy, and quality of life. Pretest, posttest, and follow-up measurements were obtained for experimental and control groups from May to August 2021. Data were collected via a Personal Information Form, Drug Attitude Inventory-10, Self-Efficacy Scale, and World Health Organization Quality of Life Questionnaire-Short Form. RESULTS Upon comparison of scores obtained by the experimental and control groups in pretest, posttest, and follow-up measurements, it was discerned that telenursing positively affected drug attitudes of participants in the experimental group and enhanced their quality of life. Although there was an increase in self-efficacy levels of the experimental group compared to the control group, the difference was not statistically significant. CONCLUSION Telenursing is an effective intervention for the improvement of drug attitudes and quality of life but is not satisfactory for the improvement of self-efficacy in individuals with schizophrenia. [Journal of Psychosocial Nursing and Mental Health Services, xx(x), xx-xx.].
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Song YM, Jeong J, de Los Reyes AA, Lim D, Cho CH, Yeom JW, Lee T, Lee JB, Lee HJ, Kim JK. Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable device data. EBioMedicine 2024; 103:105094. [PMID: 38579366 PMCID: PMC11002811 DOI: 10.1016/j.ebiom.2024.105094] [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: 10/02/2023] [Revised: 03/14/2024] [Accepted: 03/17/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Sleep and circadian rhythm disruptions are common in patients with mood disorders. The intricate relationship between these disruptions and mood has been investigated, but their causal dynamics remain unknown. METHODS We analysed data from 139 patients (76 female, mean age = 23.5 ± 3.64 years) with mood disorders who participated in a prospective observational study in South Korea. The patients wore wearable devices to monitor sleep and engaged in smartphone-delivered ecological momentary assessment of mood symptoms. Using a mathematical model, we estimated their daily circadian phase based on sleep data. Subsequently, we obtained daily time series for sleep/circadian phase estimates and mood symptoms spanning >40,000 days. We analysed the causal relationship between the time series using transfer entropy, a non-linear causal inference method. FINDINGS The transfer entropy analysis suggested causality from circadian phase disturbance to mood symptoms in both patients with MDD (n = 45) and BD type I (n = 35), as 66.7% and 85.7% of the patients with a large dataset (>600 days) showed causality, but not in patients with BD type II (n = 59). Surprisingly, no causal relationship was suggested between sleep phase disturbances and mood symptoms. INTERPRETATION Our findings suggest that in patients with mood disorders, circadian phase disturbances directly precede mood symptoms. This underscores the potential of targeting circadian rhythms in digital medicine, such as sleep or light exposure interventions, to restore circadian phase and thereby manage mood disorders effectively. FUNDING Institute for Basic Science, the Human Frontiers Science Program Organization, the National Research Foundation of Korea, and the Ministry of Health & Welfare of South Korea.
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Affiliation(s)
- Yun Min Song
- Department of Mathematical Sciences, KAIST, Daejeon, 34141, Republic of Korea; Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon, 34126, Republic of Korea
| | - Jaegwon Jeong
- Department of Psychiatry, Korea University College of Medicine, Seoul, 02841, Republic of Korea; Chronobiology Institute, Korea University, Seoul, 02841, Republic of Korea
| | - Aurelio A de Los Reyes
- Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon, 34126, Republic of Korea; Institute of Mathematics, University of the Philippines Diliman, Quezon City, 1101, Philippines
| | - Dongju Lim
- Department of Mathematical Sciences, KAIST, Daejeon, 34141, Republic of Korea; Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon, 34126, Republic of Korea
| | - Chul-Hyun Cho
- Department of Psychiatry, Korea University College of Medicine, Seoul, 02841, Republic of Korea; Chronobiology Institute, Korea University, Seoul, 02841, Republic of Korea
| | - Ji Won Yeom
- Department of Psychiatry, Korea University College of Medicine, Seoul, 02841, Republic of Korea; Chronobiology Institute, Korea University, Seoul, 02841, Republic of Korea
| | - Taek Lee
- Division of Computer Science and Engineering, Sun Moon University, Asan, 31460, Republic of Korea
| | - Jung-Been Lee
- Division of Computer Science and Engineering, Sun Moon University, Asan, 31460, Republic of Korea
| | - Heon-Jeong Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, 02841, Republic of Korea; Chronobiology Institute, Korea University, Seoul, 02841, Republic of Korea.
| | - Jae Kyoung Kim
- Department of Mathematical Sciences, KAIST, Daejeon, 34141, Republic of Korea; Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon, 34126, Republic of Korea.
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Beunders AJM, Regeer EJ, van Eijkelen M, Mathijssen H, Nijboer C, Schouws SNTM, van Oppen P, Kok AAL, Kupka RW, Dols A. Bipolarity in Older individuals Living without Drugs (BOLD): Protocol and preliminary findings. J Affect Disord 2024; 348:160-166. [PMID: 38154581 DOI: 10.1016/j.jad.2023.12.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 12/01/2023] [Accepted: 12/23/2023] [Indexed: 12/30/2023]
Abstract
INTRODUCTION Although clinical guidelines regard prophylactic medication as the cornerstone of treatment, it is estimated almost half of patients with bipolar disorder (BD) live without medication. This group is underrepresented in research but can provide indispensable knowledge on natural course, resilience and self-management strategies. We aim to describe the clinical phenotype of patients diagnosed with BD who have discontinued maintenance treatment. METHODS The mixed-methods BOLD study included 58 individuals aged 50 years and over with BD that did not use maintenance medication in the past 5 years. A preliminary, quantitative comparison of clinical characteristics between BOLD and our pre-existing cohort of >220 older BD outpatients with medication (Dutch Older Bipolars, DOBi) was performed. RESULTS BD-I, psychiatric comorbidities, number of mood episodes and lifetime psychotic features were more prevalent in BOLD compared to DOBi. BOLD participants had a younger age at onset and reported more childhood trauma. BOLD participants reported fewer current mood symptoms and higher cognitive, social, and global functioning. LIMITATIONS Our findings may not be generalizable to all individuals diagnosed with BD living without maintenance medication due to selection-bias. CONCLUSION A group of individuals exists that meets diagnostic criteria of BD and is living without maintenance medication. They appear to be relatively successful in terms of psychosocial functioning, although they do not have a milder clinical course than those on maintenance medication. The high prevalence of childhood trauma warrants further investigation. Future analyses will examine differences between BOLD and DOBi per domain (e.g. cognition, physical health, psychosocial functioning, coping).
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Affiliation(s)
- Alexandra J M Beunders
- GGZ inGeest Specialized Mental Health Care, Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Psychiatry, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands
| | - Eline J Regeer
- Altrecht GGZ Mental Health Care Institute, Outpatient Clinic for Bipolar Disorders, Utrecht, the Netherlands
| | - Marieke van Eijkelen
- Plusminus (Dutch Patient Association for Bipolar Disorder); MIND (Dutch online platform for mental health), Utrecht, the Netherlands
| | - Henk Mathijssen
- Plusminus (Dutch Patient Association for Bipolar Disorder); MIND (Dutch online platform for mental health), Utrecht, the Netherlands
| | | | - Sigfried N T M Schouws
- GGZ inGeest Specialized Mental Health Care, Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Psychiatry, Amsterdam, the Netherlands
| | - Patricia van Oppen
- GGZ inGeest Specialized Mental Health Care, Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Psychiatry, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands
| | - Almar A L Kok
- Amsterdam UMC location Vrije Universiteit Amsterdam, Psychiatry, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands
| | - Ralph W Kupka
- GGZ inGeest Specialized Mental Health Care, Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Psychiatry, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands; Altrecht GGZ Mental Health Care Institute, Outpatient Clinic for Bipolar Disorders, Utrecht, the Netherlands
| | - Annemiek Dols
- Amsterdam UMC location Vrije Universiteit Amsterdam, Psychiatry, Amsterdam, the Netherlands; Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands; Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress, Amsterdam, the Netherlands.
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6
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Efthimiou O, Taipale H, Radua J, Schneider-Thoma J, Pinzón-Espinosa J, Ortuño M, Vinkers CH, Mittendorfer-Rutz E, Cardoner N, Tanskanen A, Fusar-Poli P, Cipriani A, Vieta E, Leucht S, Tiihonen J, Luykx JJ. Efficacy and effectiveness of antipsychotics in schizophrenia: network meta-analyses combining evidence from randomised controlled trials and real-world data. Lancet Psychiatry 2024; 11:102-111. [PMID: 38215784 DOI: 10.1016/s2215-0366(23)00366-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/20/2023] [Accepted: 10/20/2023] [Indexed: 01/14/2024]
Abstract
BACKGROUND There is debate about the generalisability of results from randomised clinical trials (RCTs) to real-world settings. Studying outcomes of treatments for schizophrenia can shed light on this issue and inform treatment guidelines. We therefore compared the efficacy and effectiveness of antipsychotics for relapse prevention in schizophrenia and estimated overall treatment effects using all available RCT and real-world evidence. METHODS We conducted network meta-analyses using individual participant data from Swedish and Finnish national registries and aggregate data from RCTs. The target population was adults (age >18 and <65 years) with schizophrenia and schizoaffective disorder with stabilised symptoms. We analysed each registry separately to obtain hazard ratios (HRs) and 95% CIs for relapse within 6 months post-antipsychotic initiation as our main outcome. Interventions studied were antipsychotics, no antipsychotic use, and placebo. We compared HRs versus a reference drug (oral haloperidol) between registries, and between registry individuals who would be eligible and ineligible for RCTs, using the ratio of HRs. We synthesised evidence using network meta-analysis and compared results from our network meta-analysis of real-world data with our network meta-analysis of RCT data, including oral versus long-acting injectable (LAI) formulations. Finally, we conducted a joint real-world and RCT network meta-analysis. FINDINGS We included 90 469 individuals from the Swedish and Finnish registries (mean age 45·9 [SD 14·6] years; 43 025 [47·5%] women and 47 467 [52·5%] men, ethnicity data unavailable) and 10 091 individuals from 30 RCTs (mean age 39·6 years [SD 11·7]; 3724 [36·9%] women and 6367 [63·1%] men, 6022 White [59·7%]). We found good agreement in effectiveness of antipsychotics between Swedish and Finnish registries (HR ratio 0·97, 95% CI 0·88-1·08). Drug effectiveness versus no antipsychotic was larger in RCT-eligible than RCT-ineligible individuals (HR ratio 1·40 [1·24-1·59]). Efficacy versus placebo in RCTs was larger than effectiveness versus no antipsychotic in real-world (HR ratio 2·58 [2·02-3·30]). We found no evidence of differences between effectiveness and efficacy for between-drug comparisons (HR ratio vs oral haloperidol 1·17 [0·83-1·65], where HR ratio >1 means superior effectiveness in real-world to RCTs), except for LAI versus oral comparisons (HR ratio 0·73 [0·53-0·99], indicating superior effectiveness in real-world data relative to RCTs). The real-world network meta-analysis showed clozapine was most effective, followed by olanzapine LAI. The RCT network meta-analysis exhibited heterogeneity and inconsistency. The joint real-world and RCT network meta-analysis identified olanzapine as the most efficacious antipsychotic amongst those present in both RCTs and the real world registries. INTERPRETATION LAI antipsychotics perform slightly better in the real world than according to RCTs. Otherwise, RCT evidence was in line with real-world evidence for most between-drug comparisons, but RCTs might overestimate effectiveness of antipsychotics observed in routine care settings. Our results further the understanding of the generalisability of RCT findings to clinical practice and can inform preferential prescribing guidelines. FUNDING None.
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Affiliation(s)
- Orestis Efthimiou
- Institute of Primary Health Care, University of Bern, Bern, Switzerland; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Heidi Taipale
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland; School of Pharmacy, University of Eastern Finland, Kuopio, Finland; Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Joaquim Radua
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, Stockholm, Sweden; Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain; Early Psychosis, Interventions and Clinical Detection Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Johannes Schneider-Thoma
- Department of Psychiatry and Psychotherapy, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Justo Pinzón-Espinosa
- Department of Medicine, School of Medicine, University of Barcelona, Barcelona, Catalonia, Spain; Department of Psychiatry, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands; Sant Pau Mental Health Group, Institut d'Investigació Biomèdica Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain; Department of Clinical Psychiatry, School of Medicine, University of Panama, Panama; Adult Outpatient Clinic, Fundació Pere Mata Terres de l'Ebre, Amposta, Tarragona, Spain
| | - Maria Ortuño
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Christiaan H Vinkers
- Department of Psychiatry and Anatomy & Neurosciences, Amsterdam University Medical Centre, location Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Amsterdam Public Health, Mental Health Program and Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, Netherlands; GGZ inGeest Mental Health Care, Amsterdam, Netherlands
| | - Ellenor Mittendorfer-Rutz
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Narcís Cardoner
- Sant Pau Mental Health Group, Institut d'Investigació Biomèdica Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Antti Tanskanen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland; Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Paolo Fusar-Poli
- Early Psychosis, Interventions and Clinical Detection Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Andrea Cipriani
- Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK; Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain; Department of Psychiatry and Psychology, Hospital Clinic, Neurosciences Institute, University of Barcelona, Barcelona, Catalonia, Spain
| | - Stefan Leucht
- Department of Psychiatry and Psychotherapy, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Jari Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Centre for Psychiatry Research, Stockholm City Council, Stockholm, Sweden
| | - Jurjen J Luykx
- Department of Psychiatry, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands; Amsterdam Public Health, Mental Health Program and Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, Netherlands; GGZ inGeest Mental Health Care, Amsterdam, Netherlands; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, Netherlands; Outpatient Second Opinion Clinic, GGNet Mental Health, Warnsveld, Netherlands.
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Zhang H, Chen J, Fang Y. Functional Alterations in Patients with Bipolar Disorder and Their Unaffected First-Degree Relatives: Insight from Genetic, Epidemiological, and Neuroimaging Data. Neuropsychiatr Dis Treat 2023; 19:2797-2806. [PMID: 38111594 PMCID: PMC10726715 DOI: 10.2147/ndt.s427617] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 11/30/2023] [Indexed: 12/20/2023] Open
Abstract
Bipolar disorder (BD) profoundly affects cognitive and psychosocial functioning, leading to a significant illness burden on patients and their families. Genetic factors are predominant in the onset of bipolar disorder and functional impairments. This disorder exhibits a strong family aggregation, with heritability estimates reaching up to 80%. Individuals with BD often experience impaired functioning, especially in significant areas such as physical performance, sleep, cognition, interpersonal interactions, socioeconomic status, family and marital relationships, work and school performance, well-being, and life expectancy. However, patients with different subtypes exhibit significant heterogeneity in social functioning, cognition, and creativity levels. There are notable differences in psychosocial and cognitive function in their unaffected first-degree relatives (UFR) who do not suffer but may carry susceptibility genes compared to healthy control (HC) without a family history. The observations indicate common genetic structures between BD patients and their UFR, which results in varying degrees of functional abnormalities. Therefore, this article mainly provides evidence on cognition, creativity, and psychosocial functioning in patients with BD and their UFR to provide a more comprehensive understanding of this critical topic in the field of BD. By integrating various findings, including clinical data and neuroimaging studies, our article aims to provide insights and valuable information for a deeper exploration of the pathogenesis of BD and the development of more targeted therapeutic strategies in the future.
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Affiliation(s)
- Haonan Zhang
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Jun Chen
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
| | - Yiru Fang
- Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
- Department of Psychiatry & Affective Disorders Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, People’s Republic of China
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8
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Hogg B, Radua J, Gardoki-Souto I, Fontana-McNally M, Lupo W, Reinares M, Jiménez E, Madre M, Blanco-Presas L, Cortizo R, Massó-Rodriguez A, Castaño J, Argila I, Castro-Rodriguez JI, Comes M, Macias C, Sánchez-González R, Mur-Mila E, Novo P, Rosa AR, Vieta E, Padberg F, Pérez-Solà V, Valiente-Gómez A, Moreno-Alcázar A, Amann BL. EMDR therapy vs. supportive therapy as adjunctive treatment in trauma-exposed bipolar patients: A randomised controlled trial. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2023:S2950-2853(23)00112-6. [PMID: 38061553 DOI: 10.1016/j.sjpmh.2023.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/03/2023] [Accepted: 11/28/2023] [Indexed: 12/19/2023]
Abstract
INTRODUCTION Patients with bipolar disorder (BD) are frequently exposed to traumatic events which worsen disease course, but this study is the first multicentre randomised controlled trial to test the efficacy of a trauma-focused adjunctive psychotherapy in reducing BD affective relapse rates. MATERIALS AND METHODS This multicentre randomised controlled trial included 77 patients with BD and current trauma-related symptoms. Participants were randomised to either 20 sessions of trauma-focused Eye Movement Desensitization and Reprocessing (EMDR) therapy for BD, or 20 sessions of supportive therapy (ST). The primary outcome was relapse rates over 24-months, and secondary outcomes were improvements in affective and trauma symptoms, general functioning, and cognitive impairment, assessed at baseline, post-treatment, and at 12- and 24-month follow-up. The trial was registered prior to starting enrolment in clinical trials (NCT02634372) and carried out in accordance with CONSORT guidelines. RESULTS There was no significant difference between treatment conditions in terms of relapse rates either with or without hospitalisation. EMDR was significantly superior to ST at the 12-month follow up in terms of reducing depressive symptoms (p=0.0006, d=0.969), manic symptoms (p=0.027, d=0.513), and improving functioning (p=0.038, d=0.486). There was no significant difference in dropout between treatment arms. CONCLUSIONS Although the primary efficacy criterion was not met in the current study, trauma-focused EMDR was superior to ST in reducing of affective symptoms and improvement of functioning, with benefits maintained at six months following the end of treatment. Both EMDR and ST reduced trauma symptoms as compared to baseline, possibly due to a shared benefit of psychotherapy. Importantly, focusing on traumatic events did not increase relapses or dropouts, suggesting psychological trauma can safely be addressed in a BD population using this protocol.
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Affiliation(s)
- Bridget Hogg
- Centre Fòrum Research Unit, Hospital del Mar Research Institute, Barcelona, Spain; Mental Health Institute, Hospital del Mar Barcelona, Barcelona, Spain; PhD Programme, Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain
| | - Joaquim Radua
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Department of Clinical Neuroscience, Karolinska Institutet (KI), Sweden; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; Departament de Medicina, Facultat de Medicina i Ciencias de la Salut, Universitat de Barcelona (UB), Barcelona, Spain
| | - Itxaso Gardoki-Souto
- Centre Fòrum Research Unit, Hospital del Mar Research Institute, Barcelona, Spain; PhD Programme, Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Fontana-McNally
- Centre Fòrum Research Unit, Hospital del Mar Research Institute, Barcelona, Spain; Mental Health Institute, Hospital del Mar Barcelona, Barcelona, Spain
| | - Walter Lupo
- Centre Fòrum Research Unit, Hospital del Mar Research Institute, Barcelona, Spain
| | - María Reinares
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain; Departament de Medicina, Facultat de Medicina i Ciencias de la Salut, Universitat de Barcelona (UB), Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Institute of Neurosciences (UBNeuro), Universitat de Barcelona, Barcelona, Spain; Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Spain
| | - Esther Jiménez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain; Departament de Medicina, Facultat de Medicina i Ciencias de la Salut, Universitat de Barcelona (UB), Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Institute of Neurosciences (UBNeuro), Universitat de Barcelona, Barcelona, Spain
| | - Mercè Madre
- Mental Health, Hospital de la Santa Creu i Sant Pau, IR SANT PAU, Barcelona, Spain; Hospital Benito Menni-CASM, Sant Boi de Llobregat, Barcelona, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Laura Blanco-Presas
- Hospital Benito Menni-CASM, Sant Boi de Llobregat, Barcelona, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Programa TEPT-AGRESX, Instituto de Neurociencias (ICN), Hospital Clinic, Barcelona, Spain
| | - Romina Cortizo
- Centro Salud Mental Adultos Ciutat Vella, Parc Sanitari Sant Joan de Déu, Barcelona, Spain; Centro Salud Mental Adultos, Institute of Mental Health, Hosptial del Mar Barcelona, Barcelona, Spain
| | - Anna Massó-Rodriguez
- Centro Salud Mental Infanto-Juvenil, Hospital del Mar Barcelona, Barcelona, Spain
| | - Juan Castaño
- Centro Salud Mental Adultos, Institute of Mental Health, Hosptial del Mar Barcelona, Barcelona, Spain
| | - Isabel Argila
- Hospital Benito Menni-CASM, Sant Boi de Llobregat, Barcelona, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | | | - Mercè Comes
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Cristina Macias
- Centre Fòrum Research Unit, Hospital del Mar Research Institute, Barcelona, Spain; Centro Salud Mental Adultos, Institute of Mental Health, Hosptial del Mar Barcelona, Barcelona, Spain; Centre Emili Mira, Institute of Mental Health, Hospital del Mar Barcelona, Barcelona, Spain
| | - Roberto Sánchez-González
- Mental Health Institute, Hospital del Mar Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain; Centro Salud Mental Adultos, Institute of Mental Health, Hosptial del Mar Barcelona, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain
| | - Estanislao Mur-Mila
- Mental Health Institute, Hospital del Mar Barcelona, Barcelona, Spain; Centro Salud Mental Adultos, Institute of Mental Health, Hosptial del Mar Barcelona, Barcelona, Spain
| | - Patricia Novo
- Centro Salud Mental Infanto-Juvenil, Hospital del Mar Barcelona, Barcelona, Spain; Day Hospital, Centro de Psicoterapia de Barcelona (CPB), Barcelona, Spain
| | - Adriane R Rosa
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil; Departamento de Farmacologia, Instituto de Ciéncias Básicas de Saúde, Universidade Federal do Rio Grande do Sul, Brazil; Postgraduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande doSul (UFRGS), Porto Alegre, RS, Brazil
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain; Departament de Medicina, Facultat de Medicina i Ciencias de la Salut, Universitat de Barcelona (UB), Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Institute of Neurosciences (UBNeuro), Universitat de Barcelona, Barcelona, Spain
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, LMU University Hospital, Munich, Germany
| | - Victor Pérez-Solà
- Mental Health Institute, Hospital del Mar Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain; Centro Salud Mental Adultos, Institute of Mental Health, Hosptial del Mar Barcelona, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain
| | - Alicia Valiente-Gómez
- Centre Fòrum Research Unit, Hospital del Mar Research Institute, Barcelona, Spain; Mental Health Institute, Hospital del Mar Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain.
| | - Ana Moreno-Alcázar
- Centre Fòrum Research Unit, Hospital del Mar Research Institute, Barcelona, Spain; Mental Health Institute, Hospital del Mar Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain
| | - Benedikt L Amann
- Centre Fòrum Research Unit, Hospital del Mar Research Institute, Barcelona, Spain; Mental Health Institute, Hospital del Mar Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Department of Psychiatry and Psychotherapy, LMU University Hospital, Munich, Germany
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9
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Palau P, Solanes A, Madre M, Saez-Francas N, Sarró S, Moro N, Verdolini N, Sanchez M, Alonso-Lana S, Amann BL, Romaguera A, Martin-Subero M, Fortea L, Fuentes-Claramonte P, García-León MA, Munuera J, Canales-Rodríguez EJ, Fernández-Corcuera P, Brambilla P, Vieta E, Pomarol-Clotet E, Radua J. Improved estimation of the risk of manic relapse by combining clinical and brain scan data. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2023; 16:235-243. [PMID: 37839962 DOI: 10.1016/j.rpsm.2023.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 12/22/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023]
Abstract
INTRODUCTION Estimating the risk of manic relapse could help the psychiatrist individually adjust the treatment to the risk. Some authors have attempted to estimate this risk from baseline clinical data. Still, no studies have assessed whether the estimation could improve by adding structural magnetic resonance imaging (MRI) data. We aimed to evaluate it. MATERIAL AND METHODS We followed a cohort of 78 patients with a manic episode without mixed symptoms (bipolar type I or schizoaffective disorder) at 2-4-6-9-12-15-18 months and up to 10 years. Within a cross-validation scheme, we created and evaluated a Cox lasso model to estimate the risk of manic relapse using both clinical and MRI data. RESULTS The model successfully estimated the risk of manic relapse (Cox regression of the time to relapse as a function of the estimated risk: hazard ratio (HR)=2.35, p=0.027; area under the curve (AUC)=0.65, expected calibration error (ECE)<0.2). The most relevant variables included in the model were the diagnosis of schizoaffective disorder, poor impulse control, unusual thought content, and cerebellum volume decrease. The estimations were poorer when we used clinical or MRI data separately. CONCLUSION Combining clinical and MRI data may improve the risk of manic relapse estimation after a manic episode. We provide a website that estimates the risk according to the model to facilitate replication by independent groups before translation to clinical settings.
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Affiliation(s)
- Pol Palau
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Benito Menni CASM - Hospital General de Granollers, Germanes Hospitalàries, Barcelona, Spain; Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Aleix Solanes
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Department of Psychiatry and Forensic Medicine, Autonomous University of Barcelona, Barcelona, Spain
| | - Merce Madre
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Naia Saez-Francas
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Hospital Sant Rafael, Germanes Hospitalàries. Barcelona, Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Noemí Moro
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Benito Menni CASM - Hospital General de Granollers, Germanes Hospitalàries, Barcelona, Spain
| | - Norma Verdolini
- Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Barcelona Bipolar Disorders and Depressive Unit, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
| | - Manel Sanchez
- Department of Psychiatry and Forensic Medicine, Autonomous University of Barcelona, Barcelona, Spain; Department of Geriatric Psychiatry, Sagrat Cor Hospital, Martorell, Barcelona, Spain; Sociedad Española de Psicogeriatría (SEPG), Barcelona, Spain
| | - Sílvia Alonso-Lana
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, Barcelona, Spain
| | - Benedikt L Amann
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain; Mental Health Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336 Munich, Germany
| | - Anna Romaguera
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Hospital Mare de Déu de la Mercè, Germanes Hospitalàries, Barcelona, Spain
| | - Marta Martin-Subero
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain; Mental Health Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Lydia Fortea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Paola Fuentes-Claramonte
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Maria A García-León
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Josep Munuera
- Imatge Diagnòstica i Terapèutica, Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950 Esplugues de Llobregat, Spain; Servei de Diagnòstic per la Imatge, Hospital Sant Joan de Déu, Passeig Sant Joan de Déu 2, 08950 Esplugues de Llobregat, Spain
| | - Erick Jorge Canales-Rodríguez
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), EPFL-STI-IEL-LTS5, Station 11, CH-1015 Lausanne, Switzerland
| | - Paloma Fernández-Corcuera
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Psychiatry Department, Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Eduard Vieta
- Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Barcelona Bipolar Disorders and Depressive Unit, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Joaquim Radua
- Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
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10
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Uher R, Pavlova B, Radua J, Provenzani U, Najafi S, Fortea L, Ortuño M, Nazarova A, Perroud N, Palaniyappan L, Domschke K, Cortese S, Arnold PD, Austin JC, Vanyukov MM, Weissman MM, Young AH, Hillegers MH, Danese A, Nordentoft M, Murray RM, Fusar‐Poli P. Transdiagnostic risk of mental disorders in offspring of affected parents: a meta-analysis of family high-risk and registry studies. World Psychiatry 2023; 22:433-448. [PMID: 37713573 PMCID: PMC10503921 DOI: 10.1002/wps.21147] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/17/2023] Open
Abstract
The offspring of parents with mental disorders are at increased risk for developing mental disorders themselves. The risk to offspring may extend transdiagnostically to disorders other than those present in the parents. The literature on this topic is vast but mixed. To inform targeted prevention and genetic counseling, we performed a comprehensive, PRISMA 2020-compliant meta-analysis. We systematically searched the literature published up to September 2022 to retrieve original family high-risk and registry studies reporting on the risk of mental disorders in offspring of parents with any type of mental disorder. We performed random-effects meta-analyses of the relative risk (risk ratio, RR) and absolute risk (lifetime, up to the age at assessment) of mental disorders, defined according to the ICD or DSM. Cumulative incidence by offspring age was determined using meta-analytic Kaplan-Meier curves. We measured heterogeneity with the I2 statistic, and risk of bias with the Quality In Prognosis Studies (QUIPS) tool. Sensitivity analyses addressed the impact of study design (family high-risk vs. registry) and specific vs. transdiagnostic risks. Transdiagnosticity was appraised with the TRANSD criteria. We identified 211 independent studies that reported data on 3,172,115 offspring of parents with psychotic, bipolar, depressive, disruptive, attention-deficit/hyperactivity, anxiety, substance use, eating, obsessive-compulsive, and borderline personality disorders, and 20,428,575 control offspring. The RR and lifetime risk of developing any mental disorder were 3.0 and 55% in offspring of parents with anxiety disorders; 2.6 and 17% in offspring of those with psychosis; 2.1 and 55% in offspring of those with bipolar disorder; 1.9 and 51% in offspring of those with depressive disorders; and 1.5 and 38% in offspring of those with substance use disorders. The offspring's RR and lifetime risk of developing the same mental disorder diagnosed in their parent were 8.4 and 32% for attention-deficit/hyperactivity disorder; 5.8 and 8% for psychosis; 5.1 and 5% for bipolar disorder; 2.8 and 9% for substance use disorders; 2.3 and 14% for depressive disorders; 2.3 and 1% for eating disorders; and 2.2 and 31% for anxiety disorders. There were 37 significant transdiagnostic associations between parental mental disorders and the RR of developing a different mental disorder in the offspring. In offspring of parents with psychosis, bipolar and depressive disorder, the risk of the same disorder onset emerged at 16, 5 and 6 years, and cumulated to 3%, 19% and 24% by age 18; and to 8%, 36% and 46% by age 28. Heterogeneity ranged from 0 to 0.98, and 96% of studies were at high risk of bias. Sensitivity analyses restricted to prospective family high-risk studies confirmed the pattern of findings with similar RR, but with greater absolute risks compared to analyses of all study types. This study demonstrates at a global, meta-analytic level that offspring of affected parents have strongly elevated RR and lifetime risk of developing any mental disorder as well as the same mental disorder diagnosed in the parent. The transdiagnostic risks suggest that offspring of parents with a range of mental disorders should be considered as candidates for targeted primary prevention.
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Affiliation(s)
- Rudolf Uher
- Dalhousie UniversityDepartment of PsychiatryHalifaxNSCanada
- Nova Scotia Health AuthorityHalifaxNSCanada
| | - Barbara Pavlova
- Dalhousie UniversityDepartment of PsychiatryHalifaxNSCanada
- Nova Scotia Health AuthorityHalifaxNSCanada
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Instituto de Salud Carlos IIIUniversity of BarcelonaBarcelonaSpain
| | - Umberto Provenzani
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
| | - Sara Najafi
- Dalhousie UniversityDepartment of PsychiatryHalifaxNSCanada
- Nova Scotia Health AuthorityHalifaxNSCanada
| | - Lydia Fortea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Instituto de Salud Carlos IIIUniversity of BarcelonaBarcelonaSpain
| | - Maria Ortuño
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Instituto de Salud Carlos IIIUniversity of BarcelonaBarcelonaSpain
| | - Anna Nazarova
- Dalhousie UniversityDepartment of PsychiatryHalifaxNSCanada
- Nova Scotia Health AuthorityHalifaxNSCanada
| | - Nader Perroud
- Service of Psychiatric Specialties, Department of PsychiatryUniversity Hospitals of GenevaGenevaSwitzerland
- Department of PsychiatryUniversity of GenevaGenevaSwitzerland
| | - Lena Palaniyappan
- Douglas Mental Health University Institute, Department of PsychiatryMcGill UniversityMontrealQBCanada
- Robarts Research InstituteWestern UniversityLondonONCanada
- Department of Medical BiophysicsWestern UniversityLondonONCanada
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center, Faculty of MedicineUniversity of FreiburgFreiburgGermany
| | - Samuele Cortese
- School of Psychology, and Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of MedicineUniversity of SouthamptonSouthamptonUK
- Solent NHS TrustSouthamptonUK
- Division of Psychiatry and Applied PsychologyUniversity of NottinghamNottinghamUK
- Hassenfeld Children's Hospital at NYU LangoneNew YorkNYUSA
| | - Paul D. Arnold
- Mathison Centre for Mental Health Research & EducationUniversity of CalgaryCalgaryALCanada
| | - Jehannine C. Austin
- Departments of Psychiatry and Medical GeneticsUniversity of British ColumbiaVancouverBCCanada
| | - Michael M. Vanyukov
- Departments of Pharmaceutical Sciences, Psychiatry, and Human GeneticsUniversity of PittsburghPittsburghPAUSA
| | - Myrna M. Weissman
- Department of Psychiatry, Vagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNYUSA
- Division of Translational EpidemiologyNew York State Psychiatric InstituteNew YorkNYUSA
- Mailman School of Public HealthColumbia UniversityNew YorkNYUSA
| | - Allan H. Young
- Centre for Affective Disorders, Institute of Psychiatry, Psychology, and NeuroscienceKing's College LondonLondonUK
| | - Manon H.J. Hillegers
- Department of Child and Adolescent Psychiatry/PsychologyErasmus University Medical Center, Sophia Children's HospitalRotterdamThe Netherlands
| | - Andrea Danese
- Social, Genetic and Developmental Psychiatry Centre and Department of Child and Adolescent PsychiatryInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
- National and Specialist CAMHS Clinic for Trauma, Anxiety, and DepressionSouth London and Maudsley NHS Foundation TrustLondonUK
| | - Merete Nordentoft
- Copenhagen Research Center for Mental Health, Mental Health ServicesCapital Region of DenmarkCopenhagenDenmark
- Department of Clinical Medicine, Faculty of Health SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Paolo Fusar‐Poli
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
- Early Psychosis: Intervention and Clinical‐detection (EPIC) lab, Department of Psychosis StudiesKing's College LondonLondonUK
- Outreach and Support in South‐London (OASIS) NHS Foundation Trust, South London and Maudsley NHS Foundation TrustLondonUK
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11
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Esaki Y, Obayashi K, Saeki K, Fujita K, Iwata N, Kitajima T. Circadian variability of objective sleep measures predicts the relapse of a mood episode in bipolar disorder: findings from the APPLE cohort. Psychiatry Clin Neurosci 2023; 77:442-448. [PMID: 37092883 DOI: 10.1111/pcn.13556] [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] [Received: 01/31/2023] [Revised: 03/28/2023] [Accepted: 04/15/2023] [Indexed: 04/25/2023]
Abstract
AIM Sleep disturbance, a core feature of bipolar disorder, is closely associated with mood symptoms. We examined the association between actigraphy sleep parameters and mood episode relapses in patients with bipolar disorder. METHODS This prospective cohort study analyzed 193 outpatients with bipolar disorder who participated in the Association between the Pathology of Bipolar Disorder and Light Exposure in Daily Life (APPLE) cohort study. The participants' sleep was objectively evaluated via actigraphy over seven consecutive days for the baseline assessment and then at the 2-year follow-up appointment for mood episode relapses. The actigraphy sleep parameters were presented using the mean and variability (standard deviation) of each sleep parameter for 7 days. RESULTS Of the 193 participants, 110 (57%) experienced mood episodes during follow-up. The participants with higher variability in total sleep time had a significantly shorter mean estimated time to mood episode relapses than those with lower variability (12.5 vs. 16.8 months; P < 0.001). The Cox proportional hazards model, when adjusted for potential confounders, demonstrated that variability in total sleep time was significantly associated with an increase in the mood episode relapses (per hour; hazard ratio [HR], 1.407; 95% confidence interval (CI), 1.057-1.873), mainly in the depressive episodes (per hour; HR, 1.477; 95% CI, 1.088-2.006). CONCLUSIONS Our findings suggest that consistency in sleep time might be useful, as an adjunct therapy, in preventing the recurrence or relapse of mood episodes in bipolar disorder.
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Affiliation(s)
- Yuichi Esaki
- Department of Psychiatry, Okehazama Hospital, Toyoake, Japan
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Kenji Obayashi
- Department of Epidemiology, Nara Medical University School of Medicine, Kashihara, Japan
| | - Keigo Saeki
- Department of Epidemiology, Nara Medical University School of Medicine, Kashihara, Japan
| | - Kiyoshi Fujita
- Department of Psychiatry, Okehazama Hospital, Toyoake, Japan
- Department of Psychiatry, The Neuroscience Research Center, Toyoake, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Tsuyoshi Kitajima
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
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12
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Abstract
Bipolar disorders (BDs) are recurrent and sometimes chronic disorders of mood that affect around 2% of the world's population and encompass a spectrum between severe elevated and excitable mood states (mania) to the dysphoria, low energy, and despondency of depressive episodes. The illness commonly starts in young adults and is a leading cause of disability and premature mortality. The clinical manifestations of bipolar disorder can be markedly varied between and within individuals across their lifespan. Early diagnosis is challenging and misdiagnoses are frequent, potentially resulting in missed early intervention and increasing the risk of iatrogenic harm. Over 15 approved treatments exist for the various phases of bipolar disorder, but outcomes are often suboptimal owing to insufficient efficacy, side effects, or lack of availability. Lithium, the first approved treatment for bipolar disorder, continues to be the most effective drug overall, although full remission is only seen in a subset of patients. Newer atypical antipsychotics are increasingly being found to be effective in the treatment of bipolar depression; however, their long term tolerability and safety are uncertain. For many with bipolar disorder, combination therapy and adjunctive psychotherapy might be necessary to treat symptoms across different phases of illness. Several classes of medications exist for treating bipolar disorder but predicting which medication is likely to be most effective or tolerable is not yet possible. As pathophysiological insights into the causes of bipolar disorders are revealed, a new era of targeted treatments aimed at causal mechanisms, be they pharmacological or psychosocial, will hopefully be developed. For the time being, however, clinical judgment, shared decision making, and empirical follow-up remain essential elements of clinical care. This review provides an overview of the clinical features, diagnostic subtypes, and major treatment modalities available to treat people with bipolar disorder, highlighting recent advances and ongoing therapeutic challenges.
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Affiliation(s)
- Fernando S Goes
- Precision Medicine Center of Excellence in Mood Disorders, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Min X, Wang G, Cui Y, Meng P, Hu X, Liu S, Wang Y. Association between inflammatory cytokines and symptoms of major depressive disorder in adults. Front Immunol 2023; 14:1110775. [PMID: 36860860 PMCID: PMC9968963 DOI: 10.3389/fimmu.2023.1110775] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 01/31/2023] [Indexed: 02/15/2023] Open
Abstract
Objective This study investigated the association between inflammatory cytokines and major depressive disorder. Methods Plasma biomarkers were measured by enzyme-linked immunosorbent assay (ELISA). Statistical analysis of baseline biomarkers in the major depression disorder (MDD) group and healthy controls (HC) group, and differences in biomarkers before and after treatment. Spearman analysis was performed to correlate baseline and after treatment MDD biomarkers with the 17-item Hamilton Depression Rating Scale (HAMD-17) total scores. Receiver operator characteristic (ROC) curves were analyzed for the effect of biomarkers on MDD and HC classification and diagnosis. Results Tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) levels were significantly higher in the MDD group than in the HC group, while high mobility group protein 1 (HMGB1) levels were significantly lower in the MDD group. The AUCs for HMGB1, TNF-α, and IL-6 were 0.375, 0.733, and 0.783, respectively, according to the ROC curves. MDD patients with brain-derived neurotrophic factor precursor (proBDNF) levels were positively correlated with total HAMD-17 scores. The levels of proBDNF levels were positively correlated with the total HAMD-17 score in male MDD patients, and brain-derived neurotrophic factor (BDNF) and interleukin 18 (IL-18) levels were negatively correlated with the total HAMD-17 score in female MDD patients. Conclusion Inflammatory cytokines are associated with the severity of MDD, and TNF-α and IL-6 have the potential as objective biomarkers to aid in the diagnosis of MDD.
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Affiliation(s)
- Xue Min
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China
| | - Genwei Wang
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China
| | - Yalian Cui
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Peipei Meng
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xiaodong Hu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorders, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China,*Correspondence: Yanfang Wang,
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Radua J, Fortea L, Goikolea JM, Zorrilla I, Bernardo M, Arrojo M, Cunill R, Castells X, Becoña E, López-Durán A, Torrens M, Tirado-Muñoz J, Fonseca F, Arranz B, Garriga M, Sáiz PA, Flórez G, San L, González-Pinto A. Meta-analysis of the effects of adjuvant drugs in co-occurring bipolar and substance use disorder. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2023:S1888-9891(23)00006-X. [PMID: 37689524 DOI: 10.1016/j.rpsm.2023.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/10/2023]
Abstract
BACKGROUND Individuals with bipolar disorder (BD) often have co-occurring substance use disorders (SUDs), which substantially impoverish the course of illness. Despite the importance of this dual diagnosis, the evidence of the efficacy and safety of adjuvant treatments is mostly unknown. OBJECTIVE To perform a meta-analysis to evaluate the efficacy and safety of adjuvant drugs in patients with co-occurring BD and SUD. METHODS We searched PubMed, Scopus, and Web of Knowledge until 30th April 2022 for randomized clinical trials (RCT) evaluating the efficacy and safety of adjuvant drugs compared to placebo in patients with a dual diagnosis of BD and SUD. We meta-analyzed the effect of adjuvant drugs on general outcomes (illness severity, mania, depression, anxiety, abstinence, substance craving, substance use, gamma-GT, adherence, and adverse events) and used the results to objectively assess the quality of the evidence according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. For completeness, we also report the specific effects of specific adjuvant drugs in patients with specific substance disorders. RESULTS We included 15 RCT studies (9 alcohol, 3 cocaine, 2 nicotine, and 1 cannabis) comprising 628 patients allocated to treatment and 622 to placebo. There was low-quality evidence that adjuvant drugs may reduce illness severity (g=-0.25, 95% CI: -0.44, -0.06), and very-low quality evidence that they may decrease substance use (g=-0.23, 95% CI: -0.44, -0.02) and increase substance abstinence (g=0.21, 95% CI: 0.04, 0.38). DISCUSSION There is low-quality evidence that adjuvant drugs may help reduce illness severity, probably via facilitating abstinence and lower substance use. However, the evidence is weak; thus, these results should be considered cautiously until better evidence exists.
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Affiliation(s)
- Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Universitat de Barcelona, CIBERSAM, Spain; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lydia Fortea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Universitat de Barcelona, CIBERSAM, Spain.
| | - José Manuel Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Universitat de Barcelona, CIBERSAM, Spain
| | - Iñaki Zorrilla
- Instituto de Investigación Sanitaria BIOARABA, OSI Araba, Hospital Universitario, CIBERSAM, UPV/EHU, Vitoria, Spain
| | - Miquel Bernardo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Universitat de Barcelona, CIBERSAM, Spain
| | - Manuel Arrojo
- Servicio de Psiquiatría, Instituto de Investigación Sanitaria (IDIS), Complejo Hospitalario Universitario de Santiago, Servicio Gallego de Salud (SERGAS) de Santiago de Compostela, Spain
| | - Ruth Cunill
- Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, CIBERSAM, Barcelona, Spain
| | - Xavi Castells
- Grupo de Investigación TransLab, Departamento de Ciencias Médicas, Universitat de Girona, Spain
| | - Elisardo Becoña
- Unidad de Tabaquismo y Trastornos Adictivos, Facultad de Psicología, Universidad de Santiago de Compostela, Spain
| | - Ana López-Durán
- Unidad de Tabaquismo y Trastornos Adictivos, Facultad de Psicología, Universidad de Santiago de Compostela, Spain
| | - Marta Torrens
- Institut de Neuropsiquiatria Addiccions - Hospìtal del Mar, Universitat Autònoma de Barcelona, Universitat de Vic-Central de Catalunya, Red de Investigación en Atención Primaria de Adicciones-RIAPAD, Barcelona, Spain
| | - Judit Tirado-Muñoz
- Departamento de Psicología, Facultad de Ciencias Biomédicas y de la Salud, Grupo de Investigación en Conducta, Emociones y Salud, Universidad Europea de Madrid, Madrid, Spain
| | - Francina Fonseca
- Institut de Neuropsiquiatria Addiccions - Hospìtal del Mar, Universitat Autònoma de Barcelona, Universitat de Vic-Central de Catalunya, Red de Investigación en Atención Primaria de Adicciones-RIAPAD, Barcelona, Spain
| | - Belén Arranz
- Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, CIBERSAM, Barcelona, Spain
| | - Marina Garriga
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Universitat de Barcelona, CIBERSAM, Spain
| | - Pilar A Sáiz
- Universidad de Oviedo, CIBERSAM, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto de Neurociencias del Principado de Asturias (INEUROPA), Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
| | - Gerardo Flórez
- Unidad de Conductas Adictivas, Complejo Hospitalario de Ourense, CIBERSAM, Ourense, Spain
| | - Luis San
- Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, CIBERSAM, Barcelona, Spain
| | - Ana González-Pinto
- Instituto de Investigación Sanitaria BIOARABA, OSI Araba, Hospital Universitario, CIBERSAM, UPV/EHU, Vitoria, Spain
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Endoxifen Approval for Bipolar Disorder in India: A Premature or a Pragmatic Decision? J Clin Psychopharmacol 2023; 43:3-5. [PMID: 36584243 DOI: 10.1097/jcp.0000000000001643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
In this commentary, we critique the Indian government's decision to approve endoxifen for the treatment of acute mania among adults.
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Solanes A, Mezquida G, Janssen J, Amoretti S, Lobo A, González-Pinto A, Arango C, Vieta E, Castro-Fornieles J, Bergé D, Albacete A, Giné E, Parellada M, Bernardo M, Bioque M, Morén C, Pina-Camacho L, Díaz-Caneja CM, Zorrilla I, Corres EG, De-la-Camara C, Barcones F, Escarti MJ, Aguilar EJ, Legido T, Martin M, Verdolini N, Martinez-Aran A, Baeza I, de la Serna E, Contreras F, Bobes J, García-Portilla MP, Sanchez-Pastor L, Rodriguez-Jimenez R, Usall J, Butjosa A, Salgado-Pineda P, Salvador R, Pomarol-Clotet E, Radua J. Combining MRI and clinical data to detect high relapse risk after the first episode of psychosis. SCHIZOPHRENIA 2022; 8:100. [PMID: 36396933 PMCID: PMC9672064 DOI: 10.1038/s41537-022-00309-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 10/28/2022] [Indexed: 11/18/2022]
Abstract
AbstractDetecting patients at high relapse risk after the first episode of psychosis (HRR-FEP) could help the clinician adjust the preventive treatment. To develop a tool to detect patients at HRR using their baseline clinical and structural MRI, we followed 227 patients with FEP for 18–24 months and applied MRIPredict. We previously optimized the MRI-based machine-learning parameters (combining unmodulated and modulated gray and white matter and using voxel-based ensemble) in two independent datasets. Patients estimated to be at HRR-FEP showed a substantially increased risk of relapse (hazard ratio = 4.58, P < 0.05). Accuracy was poorer when we only used clinical or MRI data. We thus show the potential of combining clinical and MRI data to detect which individuals are more likely to relapse, who may benefit from increased frequency of visits, and which are unlikely, who may be currently receiving unnecessary prophylactic treatments. We also provide an updated version of the MRIPredict software.
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Is quetiapine effective for obsessive and compulsive symptoms in patients with bipolar disorder? A randomized, double-blind, placebo-controlled clinical trial. CNS Spectr 2022; 27:634-638. [PMID: 34027853 DOI: 10.1017/s1092852921000572] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
BACKGROUND The aim of this study is to examine the effects of quetiapine as an adjuvant treatment for obsessive-compulsive (OC) symptoms in patients with bipolar disorder (BD) type I. METHODS In this 8-week double-blind placebo-controlled randomized clinical trial, 47 patients with BD in euthymic phase that had OC symptoms were randomly allocated to receive either quetiapine or placebo plus their routine medications (lithium + clonazepam). Yale-Brown Obsessive-Compulsive Scale (YBOCS) was used to assess the outcomes. Adverse effects were also recorded. RESULTS Of 47 BD patients with OC symptoms that were randomly allocated in two groups of quetiapine (n = 24) and placebo group (n = 23), 40 patients (20 in quetiapine group and 20 in placebo group) completed the trial. Throughout the trial, the mean score of YBOCS in the quetiapine group dropped from 24.37 ± 1.51 to 15.26 ± 1.16 (P < .001) and in the placebo group decreased from 24.21 ± 1.33 to 23.94 ± 1.66 (P = 1.97). At the end of the study, 12 (60%) patients in the quetiapine group and 1 (5%) patient in the placebo group had more than 34% decline in YBOCS score (P < .001). No serious adverse effects were reported in two groups. CONCLUSIONS Our double-blind placebo-controlled clinical trial showed that quetiapine may be an effective adjuvant agent for reducing OC symptoms in BD patients.
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18
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Macoveanu J, Stougaard ME, Kjærstad HL, Knudsen GM, Vinberg M, Kessing LV, Miskowiak KW. Trajectory of aberrant reward processing in patients with bipolar disorder - A longitudinal fMRI study. J Affect Disord 2022; 312:235-244. [PMID: 35760195 DOI: 10.1016/j.jad.2022.06.053] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/31/2022] [Accepted: 06/20/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Bipolar disorder (BD), and especially the mania phenotype, is characterized by heightened reward responsivity and aberrant reward processing. In this longitudinal fMRI study, we investigated neuronal response during reward anticipation as the computed expected value (EV) and outcome evaluation as reward prediction error (RPE) in recently diagnosed patients with BD. METHODS Eighty remitted patients with BD and 60 healthy controls (HC) underwent fMRI during which they performed a card guessing task. Of these, 41 patients and 36 HC were re-scanned after 16 months. We compared reward-related neural activity between groups at baseline and longitudinally and assessed the impact of mood relapse. RESULTS Patients showed lower RPE signal in areas of the ventrolateral prefrontal cortex (vlPFC) than HC. In these regions, the HC showed decrease in RPE signal over time, which was absent in patients. Patients further exhibited decreased EV signal in the occipital cortex across baseline and follow-up. Patients who remained in remission showed normalization of the EV signal at follow-up. Baseline activity in the identified regions was not associated with subsequent relapse. LIMITATIONS Follow-up scans were only available in a relatively small sample. Medication status, follow-up time and BD illness duration prior to diagnosis varied. CONCLUSIONS Lower RPE signal in the vlPFC in patients with BD at baseline and its lack of normative reduction over time may represent a trait marker of dysfunctional reward-based learning or habituation. The increase in EV signal in the occipital cortex over time in patients who remained in remission may indicate normalization of reward anticipation activity.
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Affiliation(s)
- J Macoveanu
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - M E Stougaard
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - H L Kjærstad
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - G M Knudsen
- Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark
| | - M Vinberg
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark; Mental Health Centre, Northern Zealand, Copenhagen University Hospital-Mental Health Services CPH, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark
| | - L V Kessing
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark
| | - K W Miskowiak
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Psychology, University of Copenhagen, Denmark.
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Zhang L, Zhang H, Lv LX, Tan Q, Xu X, Hu J, Zi L, Cooper J, Phansalkar A, Wang G. A randomised, double-blind, placebo-controlled study to evaluate the safety and efficacy of lamotrigine in the maintenance treatment of Chinese adult patients with bipolar I disorder. Int J Bipolar Disord 2022; 10:20. [PMID: 35909213 PMCID: PMC9339436 DOI: 10.1186/s40345-022-00266-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 06/23/2022] [Indexed: 11/10/2022] Open
Abstract
Background Lamotrigine is approved as a maintenance therapy for bipolar I disorder in many countries, including China in 2021. This study evaluated the efficacy and safety of lamotrigine in controlling relapse and/or recurrence of mood episodes in Chinese patients with bipolar I disorder. Methods Patients aged ≥ 18 years with bipolar I disorder who met response criteria (Clinical Global Impression–Severity [CGI-S] score of ≤ 3 for ≥ 4 consecutive weeks) during treatment with lamotrigine in a 6–16 week open-label (OL) phase, and who were maintained for ≥ 1 week on lamotrigine 200 mg/day monotherapy, were randomised (1:1) to continue receiving lamotrigine 200 mg/day or switch to placebo in a 36-week randomised double-blind (RD) phase. The primary efficacy outcome measure was time from entry into the RD phase to intervention for relapse and/or recurrence of a mood episode (TIME). Post hoc analyses assessed the impact of OL baseline mood severity on TIME. Safety assessments were conducted throughout the study. Results Of 420 patients treated in the OL phase, 264 were randomised to receive lamotrigine (n = 131) or placebo (n = 133). Overall, 112 patients had an intervention for relapse and/or recurrence of a mood episode (lamotrigine, n = 50/130 [38.5%]; placebo, n = 62/133 [46.6%]), with no significant difference in TIME between groups (adjusted hazard ratio [95% confidence interval (CI)] 0.93 [0.64, 1.35]; p = 0.701). Post hoc analyses indicated a significant difference in TIME, favouring lamotrigine over placebo, for patients with baseline CGI-S score ≥ 4 (hazard ratio [95% CI] 0.52 [0.30, 0.89]; p = 0.018) and with baseline Hamilton Depression Rating Scale ≥ 18 or Young Mania Rating Scale ≥ 10 (0.44 [hazard ratio [95% CI] 0.25, 0.78]; p = 0.005). Lamotrigine was well tolerated with no new safety signals. Conclusions Lamotrigine was not significantly superior to placebo in preventing relapse and/or recurrence of mood episodes in this study of Chinese patients with bipolar I disorder but post hoc analyses suggested a therapeutic benefit in patients with moderate/severe mood symptoms at baseline. The discrepancy between these findings and the positive findings of the pivotal studies may be attributable to the symptom severity of the bipolar patients recruited, a high dropout rate, and the comparatively short duration of the RD phase rather than race/ethnicity differences. Clinical trial registration ClinicalTrial.gov Identifier NCT01602510; 21st May 2012; https://clinicaltrials.gov/ct2/show/NCT01602510. Supplementary Information The online version contains supplementary material available at 10.1186/s40345-022-00266-4.
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Affiliation(s)
- Ling Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital , Capital Medical University, 100088, Beijing, China
| | - Honggeng Zhang
- Department of Psychiatry, Brains Hospital of Hunan Province, Changsha, China
| | - Lu-Xian Lv
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, People's Republic of China
| | - Qingrong Tan
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Jian Hu
- The First Affiliated Hospital of Harbin Medical University, Nangang, Harbin, People's Republic of China
| | - Lu Zi
- GlaxoSmithKline R&D Co., Ltd, Shanghai, China
| | - James Cooper
- GlaxoSmithKline R&D Ltd, Brentford, Middlesex, UK
| | - Abhay Phansalkar
- GlaxoSmithKline India Global Services Private Ltd, Mumbai, India
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital , Capital Medical University, 100088, Beijing, China. .,Advanced Innovation Center for Human Brain Protection , Capital Medical University , 100069, Beijing, China.
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Esaki Y, Obayashi K, Saeki K, Fujita K, Iwata N, Kitajima T. Effect of nighttime bedroom light exposure on mood episode relapses in bipolar disorder. Acta Psychiatr Scand 2022; 146:64-73. [PMID: 35253206 DOI: 10.1111/acps.13422] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 02/26/2022] [Indexed: 12/26/2022]
Abstract
OBJECTIVE A previous cross-sectional study reported that nighttime light is associated with increased occurrence of manic symptoms in bipolar disorder; however, the longitudinal association between nighttime light and subsequent mood episode relapses remains unclear. We determined whether bedroom nighttime light was associated with mood episode relapses in patients with bipolar disorder. METHODS This prospective cohort study included 172 outpatients with bipolar disorder who participated in an Association between the Pathology of Bipolar Disorder and Light Exposure in Daily Life (APPLE) cohort study. A portable photometer was used to measure illuminance in the bedroom from bedtime to rising time during 7 consecutive nights for baseline assessment. Then, the participants were assessed at a 2-year follow-up for mood episode relapses. RESULTS Of the 172 participants, 157 (91%) completed the 2-year follow-up, and 39 (22%) experienced manic or hypomanic episodes (with or without mixed features), during that time. In the Cox proportional-hazards model, the hazard ratio (HR) for manic/hypomanic episode relapses was significantly higher when the average nighttime illuminance was ≥3 lux (n = 71) than when it was <3 lux (n = 101; HR, 2.54; 95% confidence interval (CI), 1.33-4.84). In the multivariable model adjusted for a propensity score in relation to nighttime light, the relationship remained significant (HR, 2.17; 95% CI, 1.04-4.52). The association between nighttime light and depressive episode relapses was not significantly different. CONCLUSIONS Keeping the bedroom dark at night may prevent hypomanic and manic episodes.
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Affiliation(s)
- Yuichi Esaki
- Department of Psychiatry, Okehazama Hospital, Aichi, Japan.,Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
| | - Kenji Obayashi
- Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan
| | - Keigo Saeki
- Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan
| | - Kiyoshi Fujita
- Department of Psychiatry, Okehazama Hospital, Aichi, Japan.,The Neuroscience Research Center, Aichi, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
| | - Tsuyoshi Kitajima
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
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Key findings on bipolar disorders from the longitudinal FondaMental Advanced Center of Expertise-Bipolar Disorder (FACE-BD) cohort. J Affect Disord 2022; 307:149-156. [PMID: 35339569 DOI: 10.1016/j.jad.2022.03.053] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 01/28/2022] [Accepted: 03/18/2022] [Indexed: 12/26/2022]
Abstract
BACKGROUND The FACE-BD cohort is an observational cohort of individuals with bipolar disorders (BD) who benefited from a systematic evaluation with evidence-based treatment recommendations and who were followed-up every year for 3 years in France. The objectives were to describe the lifetime course of BD, associated psychiatric and somatic comorbidities, and cognition profile. This cohort aims to identify clinical/biological signatures of outcomes, trajectories of functioning and transition between clinical stages. This article summarizes 10 years of findings of the FACE-BD cohort. METHOD & RESULTS We included 4422 individuals, all having a baseline assessment, among which 61.2% had at least one follow-up visit at either one, two or three years. A subsample of 1200 individuals had at least one biological sample (serum, plasma, DNA). Assessments include family history of psychiatric disorders, psychiatric diagnosis, current mood symptoms, functioning, hospitalizations, suicidal attempts, physical health, routine blood tests, treatment history, psychological dimensions, medico-economic data and a cognitive assessment. Studies from this cohort illustrate that individuals with BD display multiple coexistent psychiatric associated conditions including sleep disturbances, anxiety disorders, substance use disorders and suicide attempts as well as a high prevalence of metabolic syndrome. During follow-up, we observed a 55% reduction of the number of days of hospitalization and a significant improvement in functioning. CONCLUSIONS The FACE-BD cohort provides a strong research infrastructure for clinical research in BD and has a unique position among international cohorts because of its comprehensive clinical assessment and sustainable funding from the French Ministry of Health.
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Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders? J Clin Med 2022; 11:jcm11082204. [PMID: 35456294 PMCID: PMC9027161 DOI: 10.3390/jcm11082204] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/11/2022] [Accepted: 04/12/2022] [Indexed: 02/04/2023] Open
Abstract
Bipolar disorder (BD) is characterized by recurrent mood episodes. It is increasingly suggested that disturbances in sleep–wake cycles and/or circadian rhythms could represent valuable predictors of recurrence, but few studies have addressed this question. Euthymic individuals with BD (n = 69) undertook 3 weeks of actigraphy recording and were then followed up for a median duration of 3.5 years. Principal component analyses were used to identify core dimensions of sleep quantity/variability and circadian rhythmicity. Associations between clinical variables and actigraphy dimensions and time to first recurrence were explored using survival analyses, and then using area under the curve (AUC) analyses (early vs. late recurrence). Most participants (64%) experienced a recurrence during follow-up (median survival time: 18 months). After adjusting for potential confounding factors, an actigraphy dimension comprising amplitude and variability/stability of circadian rhythms was a significant predictor of time to recurrence (p = 0.009). The AUC for correct classification of early vs. late recurrence subgroups was only 0.64 for clinical predictors, but combining these variables with objectively measured intra-day variability improved the AUC to 0.82 (p = 0.04). Actigraphy estimates of circadian rhythms, particularly variability/stability and amplitude, may represent valid predictive markers of future BD recurrences and could be putative targets for future psychosocial interventions.
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Grillault Laroche D, Godin O, Belzeaux R, M'Bailara K, Loftus J, Courtet P, Dubertret C, Haffen E, Llorca PM, Olie E, Passerieux C, Polosan M, Schwan R, Leboyer M, Bellivier F, Marie-Claire C, Etain B. Association between childhood maltreatment and the clinical course of bipolar disorders: A survival analysis of mood recurrences. Acta Psychiatr Scand 2022; 145:373-383. [PMID: 35080248 DOI: 10.1111/acps.13401] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/08/2022] [Accepted: 01/16/2022] [Indexed: 12/17/2022]
Abstract
OBJECTIVES Childhood maltreatment, also referred as childhood trauma, increases the severity of bipolar disorders (BD). Childhood maltreatment has been associated with more frequent mood recurrences, however, mostly in retrospective studies. Since scarce, further prospective studies are required to identify whether childhood maltreatment may be associated with the time to recurrence in BD. METHODS Individuals with BD (N = 2008) were assessed clinically and for childhood maltreatment at baseline, and followed up for two years. The cumulative probability of mood recurrence over time was estimated with the Turnbull's extension of the Kaplan-Meier analysis for interval-censored data, including childhood maltreatment as a whole, and then maltreatment subtypes as predictors. Analyses were adjusted for potential confounding factors. RESULTS The median duration of follow-up was 22.3 months (IQR:12.0-24.8). Univariable analyses showed associations between childhood maltreatment, in particular all types of abuses (emotional, physical, and sexual) or emotional neglect, and a shorter time to recurrence (all p < 0.001). When including potential confounders into the multivariable models, the time to mood recurrence was associated with multiple/severe childhood maltreatment (i.e., total score above the 75th percentile) (HR = 1.32 95%CI (1.11-1.57), p = 0.002), and more specifically with moderate/severe physical abuse (HR = 1.44 95%CI(1.21-1.73), p < 0.0001). Living alone, lifetime anxiety disorders, lifetime number of mood episodes, baseline depressive and (hypo)manic symptoms, and baseline use of atypical antipsychotics were also associated with the time to recurrence. CONCLUSIONS In addition to typical predictors of mood recurrences, an exposure to multiple/severe forms of childhood maltreatment, and more specifically to moderate to severe physical abuse, may increase the risk for a mood recurrence in BD. This leads to the recommendations of more scrutiny and denser follow-up of the individuals having been exposed to such early-life stressors.
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Affiliation(s)
- Diane Grillault Laroche
- AP-HP, Groupe Hospitalo-universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France.,Université de Paris, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France
| | - Ophélia Godin
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry laboratory, Créteil, France.,AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France.,Fondation FondaMental, Créteil, France
| | - Raoul Belzeaux
- Fondation FondaMental, Créteil, France.,Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, Marseille, France.,INT-UMR7289, CNRS Aix-Marseille Université, Marseille, France
| | - Katia M'Bailara
- Fondation FondaMental, Créteil, France.,Centre Hospitalier Charles Perrens, Bordeaux, France.,Université de Bordeaux, Centre Hospitalier Charles Perrens, Laboratoire NutriNeuro (UMR INRA 1286), Université de Bordeaux, Bordeaux, France
| | - Joséphine Loftus
- Fondation FondaMental, Créteil, France.,Pôle de Psychiatrie, Centre Hospitalier Princesse Grace, Monaco
| | - Philippe Courtet
- Fondation FondaMental, Créteil, France.,Department of Emergency Psychiatry and Acute Care, CHU Montpellier, IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France
| | - Caroline Dubertret
- Fondation FondaMental, Créteil, France.,Université de Paris, Paris, France.,AP-HP, Groupe Hospitalo-universitaire AP-HP Nord, DMU ESPRIT, Service de Psychiatrie et Addictologie, Hôpital Louis Mourier, Colombes, France.,Université de Paris, Inserm UMR1266, Sorbonne Paris Cité, Faculté de Médecine, France
| | - Emmanuel Haffen
- Fondation FondaMental, Créteil, France.,Département de Psychiatrie Clinique, CIC-1431 INSERM, CHU de Besançon, Besançon, France.,EA481 Neurosciences, Université Bourgogne Franche-Comté, Besançon, France
| | - Pierre Michel Llorca
- Fondation FondaMental, Créteil, France.,Centre Hospitalier et Universitaire, Département de Psychiatrie, Clermont-Ferrand, France.,Université d'Auvergne, Clermont-Ferrand, France
| | - Emilie Olie
- Fondation FondaMental, Créteil, France.,Department of Emergency Psychiatry and Acute Care, CHU Montpellier, IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France
| | - Christine Passerieux
- Fondation FondaMental, Créteil, France.,Centre Hospitalier de Versailles, Service Universitaire de Psychiatrie d'adulte et d'addictologie, Le Chesnay, France.,Equipe « PsyDev », CESP, Université Versailles Saint-Quentin-en-Yvelines - Paris-Saclay, Inserm, Villejuif, France
| | - Mircea Polosan
- Fondation FondaMental, Créteil, France.,Université Grenoble Alpes, CHU de Grenoble et des Alpes, Grenoble Institut des Neurosciences (GIN) Inserm U 1216, Grenoble, France
| | - Raymund Schwan
- Fondation FondaMental, Créteil, France.,Université de Lorraine, Centre Psychothérapique de Nancy, Inserm U1114, Nancy, France
| | | | - Marion Leboyer
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry laboratory, Créteil, France.,AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France.,Fondation FondaMental, Créteil, France
| | - Frank Bellivier
- AP-HP, Groupe Hospitalo-universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France.,Université de Paris, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France.,Fondation FondaMental, Créteil, France.,Université de Paris, Paris, France
| | - Cynthia Marie-Claire
- Université de Paris, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France
| | - Bruno Etain
- AP-HP, Groupe Hospitalo-universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France.,Université de Paris, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France.,Fondation FondaMental, Créteil, France.,Université de Paris, Paris, France
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Association between circadian activity rhythms and mood episode relapse in bipolar disorder: a 12-month prospective cohort study. Transl Psychiatry 2021; 11:525. [PMID: 34645802 PMCID: PMC8514471 DOI: 10.1038/s41398-021-01652-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 09/24/2021] [Accepted: 09/30/2021] [Indexed: 12/22/2022] Open
Abstract
A significant proportion of patients with bipolar disorder experience mood episode relapses. We examined whether circadian activity rhythms were associated with mood episode relapses in patients with bipolar disorder. This prospective cohort study included outpatients with bipolar disorder who participated in a study titled "Association between the Pathology of Bipolar Disorder and Light Exposure in Daily Life (APPLE) cohort study." The participants' physical activity was objectively assessed using a wrist-worn accelerometer over 7 consecutive days for the baseline assessment and then at the 12-month follow-up for mood episode relapses. The levels and timing of the circadian activity rhythms were estimated using a cosinor analysis and a nonparametric circadian rhythm analysis. Of the 189 participants, 88 (46%) experienced mood episodes during follow-up. The Cox proportional hazards model adjusting for potential confounders showed that a robust circadian activity rhythm, including midline-estimating statistic of rhythm (MESOR) and amplitude by cosinor analysis and 10 consecutive hours with the highest amplitude values (M10) by the nonparametric circadian rhythm analysis, was significantly associated with a decrease in mood episode relapses (per counts/min, hazard ratio [95% confidence interval]: MESOR, 0.993 [0.988-0.997]; amplitude, 0.994 [0.988-0.999]; and M10, 0.996 [0.993-0.999]). A later timing of the circadian activity rhythm (M10 onset time) was significantly associated with an increase in the depressive episode relapses (per hour; 1.109 [1.001-1.215]). We observed significant associations between circadian activity rhythms and mood episode relapses in bipolar disorder.
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25
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Salazar de Pablo G, Radua J, Pereira J, Bonoldi I, Arienti V, Besana F, Soardo L, Cabras A, Fortea L, Catalan A, Vaquerizo-Serrano J, Coronelli F, Kaur S, Da Silva J, Shin JI, Solmi M, Brondino N, Politi P, McGuire P, Fusar-Poli P. Probability of Transition to Psychosis in Individuals at Clinical High Risk: An Updated Meta-analysis. JAMA Psychiatry 2021; 78:970-978. [PMID: 34259821 PMCID: PMC8281006 DOI: 10.1001/jamapsychiatry.2021.0830] [Citation(s) in RCA: 137] [Impact Index Per Article: 45.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
IMPORTANCE Estimating the current likelihood of transitioning from a clinical high risk for psychosis (CHR-P) to psychosis holds paramount importance for preventive care and applied research. OBJECTIVE To quantitatively examine the consistency and magnitude of transition risk to psychosis in individuals at CHR-P. DATA SOURCES PubMed and Web of Science databases until November 1, 2020. Manual search of references from previous articles. STUDY SELECTION Longitudinal studies reporting transition risks in individuals at CHR-P. DATA EXTRACTION AND SYNTHESIS Meta-analysis compliant with Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) and Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guidelines; independent data extraction, manually and through digitalization of Kaplan-Meier curves. MAIN OUTCOME AND MEASURES Primary effect size was cumulative risk of transition to psychosis at 0.5, 1, 1.5, 2, 2.5, 3, 4, and more than 4 years' follow-up, estimated using the numbers of individuals at CHR-P transitioning to psychosis at each time point. These analyses were complemented by meta-analytical Kaplan-Meier curves and speed of transition to psychosis (hazard rate). Random-effects meta-analysis, between-study heterogeneity analysis, study quality assessment, and meta-regressions were conducted. RESULTS A total of 130 studies and 9222 individuals at CHR-P were included. The mean (SD) age was 20.3 (4.4) years, and 5100 individuals (55.3%) were male. The cumulative transition risk was 0.09 (95% CI, 0.07-0.10; k = 37; n = 6485) at 0.5 years, 0.15 (95% CI, 0.13-0.16; k = 53; n = 7907) at 1 year, 0.20 (95% CI, 0.17-0.22; k = 30; n = 5488) at 1.5 years, 0.19 (95% CI, 0.17-0.22; k = 44; n = 7351) at 2 years, 0.25 (95% CI, 0.21-0.29; k = 19; n = 3114) at 2.5 years, 0.25 (95% CI, 0.22-0.29; k = 29; n = 4029) at 3 years, 0.27 (95% CI, 0.23-0.30; k = 16; n = 2926) at 4 years, and 0.28 (95% CI, 0.20-0.37; k = 14; n = 2301) at more than 4 years. The cumulative Kaplan-Meier transition risk was 0.08 (95% CI, 0.08-0.09; n = 4860) at 0.5 years, 0.14 (95% CI, 0.13-0.15; n = 3408) at 1 year, 0.17 (95% CI, 0.16-0.19; n = 2892) at 1.5 years, 0.20 (95% CI, 0.19-0.21; n = 2357) at 2 years, 0.25 (95% CI, 0.23-0.26; n = 1444) at 2.5 years, 0.27 (95% CI, 0.25-0.28; n = 1029) at 3 years, 0.28 (95% CI, 0.26-0.29; n = 808) at 3.5 years, 0.29 (95% CI, 0.27-0.30; n = 737) at 4 years, and 0.35 (95% CI, 0.32-0.38; n = 114) at 10 years. The hazard rate only plateaued at 4 years' follow-up. Meta-regressions showed that a lower proportion of female individuals (β = -0.02; 95% CI, -0.04 to -0.01) and a higher proportion of brief limited intermittent psychotic symptoms (β = 0.02; 95% CI, 0.01-0.03) were associated with an increase in transition risk. Heterogeneity across the studies was high (I2 range, 77.91% to 95.73%). CONCLUSIONS AND RELEVANCE In this meta-analysis, 25% of individuals at CHR-P developed psychosis within 3 years. Transition risk continued increasing in the long term. Extended clinical monitoring and preventive care may be beneficial in this patient population.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain,Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Joana Pereira
- Centro Hospitalar Psiquiátrico de Lisboa, Lisbon, Portugal
| | - Ilaria Bonoldi
- Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom
| | - Vincenzo Arienti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Filippo Besana
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Livia Soardo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Anna Cabras
- Department of Neurology and Psychiatry, University of Rome La Sapienza, Rome, Italy
| | - Lydia Fortea
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain,Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Ana Catalan
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Mental Health Department, Biocruces Bizkaia Health Research Institute, Basurto University Hospital, Facultad de Medicina y Odontología, Campus de Leioa, University of the Basque Country, UPV/EHU, Bizkaia, Spain
| | - Julio Vaquerizo-Serrano
- Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Francesco Coronelli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Simi Kaur
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom
| | - Josette Da Silva
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom
| | - Jae Il Shin
- Department of Paediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Marco Solmi
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Neurosciences Department, University of Padova, Padova, Italy
| | - Natascia Brondino
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Pierluigi Politi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Philip McGuire
- Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,OASIS service, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy,OASIS service, South London and Maudsley NHS Foundation Trust, London, United Kingdom
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Telemedical care and quality of life in patients with schizophrenia and bipolar disorder: results of a randomized controlled trial. BMC Psychiatry 2021; 21:318. [PMID: 34187420 PMCID: PMC8243575 DOI: 10.1186/s12888-021-03318-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 06/09/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Schizophrenia and bipolar disorder are serious psychiatric disorders with a high disease burden, a high number of years of life lived with disability and a high risk for relapses and re-hospitalizations. Besides, both diseases are often accompanied with a reduced quality of life (QoL). A low level of quality of life is one predictor for relapses. This study examines whether a telemedical care program can improve QoL. METHODS Post stationary telemedical care of patients with severe psychiatric disorders" (Tecla) is a prospective controlled randomized intervention trial to implement and evaluate a telemedical care concept for patients with schizophrenia and bipolar disorder. Participants were randomized to an intervention or a control group. The intervention group received telemedical care including regular, individualized telephone calls and SMS-messages. QoL was measured with the German version of the WHOQOL-BREF. Effects of telemedicine on QoL after 6 months and treatment*time interactions were calculated using linear regressions (GLM and linear mixed models). RESULTS One hundred eighteen participants were recruited, thereof 57.6% men (n = 68). Participants were on average 43 years old (SD 13). The treatment*time interaction was not significant. Hence, treatment had no significant effect either. Instead, gender is an influencing factor. Further analysis showed that social support, the GAF-level and QoL-values at baselines were significant determinants for the improvement of QoL. CONCLUSION The telemedicine care concept Tecla was not significant for QoL in patients with severe psychiatric disorders. More important for the QoL is the general social support and the level of global functioning of the patients. TRIAL REGISTRATION German Clinical Trials Register, DRKS00008548, registered 21 May 2015 - retrospectively registered, https://www.drks.de/drks_web/setLocale_EN.do.
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Esaki Y, Obayashi K, Saeki K, Fujita K, Iwata N, Kitajima T. Preventive effect of morning light exposure on relapse into depressive episode in bipolar disorder. Acta Psychiatr Scand 2021; 143:328-338. [PMID: 33587769 DOI: 10.1111/acps.13287] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 02/09/2021] [Accepted: 02/10/2021] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Light therapy has been suggested to have a curative effect on bipolar depression; however, preventive effects of light exposure on depressive episodes remain unclear. This study evaluated whether daytime light exposure in real-life situations was associated with a preventive effect on relapse into depressive episodes in patients with bipolar disorder. METHODS This prospective, naturalistic, observational study was conducted in Japan between August 2017 and June 2020. Outpatients with bipolar disorder were objectively evaluated for daytime light exposure over 7 consecutive days using an actigraph that could measure ambient light at baseline assessment and then assessed at 12-month follow-up for relapse into mood episodes. RESULTS Of 202 participants, 198 (98%) completed follow-up at 12 months and 78 (38%) experienced relapse into depressive episodes during follow-up. In a Cox proportional hazards model adjusting for potential confounders, a longer time above 1000 lux at daytime was significantly associated with decrease in relapse into depressive episodes (per log min; hazard ratio, 0.66; 95% confidence interval, 0.50-0.91). In addition, a higher average illuminance and longer time above 1000 lux in the morning exhibited a significant decrease in relapse into depressive episodes (per log lux and per log min; hazard ratio, 0.65 and 0.61; 95% confidence interval, 0.49-0.86 and 0.47-0.78, respectively). The association between daytime light exposure and relapse into manic/hypomanic/mixed episodes was not significantly different. CONCLUSION A significant association was observed between increased daytime light exposure, mainly in the morning, and decreased relapse into depressive episodes.
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Affiliation(s)
- Yuichi Esaki
- Department of Psychiatry, Okehazama Hospital, Aichi, Japan.,Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
| | - Kenji Obayashi
- Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan
| | - Keigo Saeki
- Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan
| | - Kiyoshi Fujita
- Department of Psychiatry, Okehazama Hospital, Aichi, Japan.,The Neuroscience Research Center, Aichi, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
| | - Tsuyoshi Kitajima
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
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A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach. Prog Neuropsychopharmacol Biol Psychiatry 2021; 105:110136. [PMID: 33045321 DOI: 10.1016/j.pnpbp.2020.110136] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 09/04/2020] [Accepted: 10/06/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Mood disorders (major depressive disorder, MDD, and bipolar disorder, BD) are considered leading causes of life-long disability worldwide, where high rates of no response to treatment or relapse and delays in receiving a proper diagnosis (~60% of depressed BD patients are initially misdiagnosed as MDD) contribute to a growing personal and socio-economic burden. The immune system may represent a new target to develop novel diagnostic and therapeutic procedures but reliable biomarkers still need to be found. METHODS In our study we predicted the differential diagnosis of mood disorders by considering the plasma levels of 54 cytokines, chemokines and growth factors of 81 BD and 127 MDD depressed patients. Clinical diagnoses were predicted also against 32 healthy controls. Elastic net models, including 5000 non-parametric bootstrapping procedure and inner and outer 10-fold nested cross-validation were performed in order to identify the signatures for the disorders. RESULTS Results showed that the immune-inflammatory signature classifies the two disorders with a high accuracy (AUC = 97%), specifically 92% and 86% respectively for MDD and BD. MDD diagnosis was predicted by high levels of markers related to both pro-inflammatory (i.e. IL-1β, IL-6, IL-7, IL-16) and regulatory responses (IL-2, IL-4, and IL-10), whereas BD by high levels of inflammatory markers (CCL3, CCL4, CCL5, CCL11, CCL25, CCL27, CXCL11, IL-9 and TNF-α). CONCLUSIONS Our findings provide novel tools for early diagnosis of BD, strengthening the impact of biomarkers research into clinical practice, and new insights for the development of innovative therapeutic strategies for depressive disorders.
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Carmassi C, Milani F, Bertelloni CA, Massimetti E, Cerù A, Dell'Osso L. Comparing re-hospitalisation rates in a real-world naturalistic 24-month follow-up of psychotic patients with different treatment strategies: Oral versus LAI antipsychotics. Int J Clin Pract 2021; 75:e13787. [PMID: 33107121 DOI: 10.1111/ijcp.13787] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 10/17/2020] [Indexed: 12/31/2022] Open
Abstract
AIM & BACKGROUND Non-adherence to antipsychotic treatment is a major issue in the management of severe psychiatric disorders, because it is usually related to future relapses and re-hospitalisations. Long-Acting-Injection (LAI) antipsychotics can be useful to increase treatment adherence in these patients. The aim of the present study was to compare the re-hospitalisation rates of psychotic patients discharged from a psychiatric ward and then, divided into three groups upon the treatment received: LAI antipsychotic, oral antipsychotic at home or oral antipsychotic administered daily by psychiatric nurse staff as patients lived in a long-term care facility. METHODS Data on all inpatients consecutively admitted to the Psychiatric Unit of the Nuovo Ospedale Apuano (Massa, Italy), between January 2017 and December 2018, were obtained by the registration record system. Information about eventual re-hospitalisations of these patients, occurred within a 24-month timeframe since discharge, were collected from the same database. RESULTS In a Kaplan-Meyer analysis, patients treated with LAI antipsychotics showed significantly lower re-hospitalisation rates in the first 24 months after discharge than those treated with oral ones. CONCLUSIONS This study highlights the impact of LAI antipsychotics in preventing re-hospitalisation in severe psychotic patients at high risk in a naturalistic setting. The benefits appear relevant also with respect to a controlled long-term oral antipsychotic treatment, however, further studies are needed to develop more tailored intervention strategies in such complex psychiatric population.
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Affiliation(s)
- Claudia Carmassi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | | | - Enrico Massimetti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Angelo Cerù
- UFSMA Massa-Carrara, ASL Nord-Ovest, Massa, Italy
| | - Liliana Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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Luo H, Chevillard L, Bellivier F, Mégarbane B, Etain B, Cisternino S, Declèves X. The role of brain barriers in the neurokinetics and pharmacodynamics of lithium. Pharmacol Res 2021; 166:105480. [PMID: 33549730 DOI: 10.1016/j.phrs.2021.105480] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 01/14/2021] [Accepted: 02/01/2021] [Indexed: 12/14/2022]
Abstract
Lithium (Li) is the most widely used mood stabilizer in treating patients with bipolar disorder. However, more than half of the patients do not or partially respond to Li therapy, despite serum Li concentrations in the serum therapeutic range. The exact mechanisms underlying the pharmacokinetic-pharmacodynamic (PK-PD) relationships of lithium are still poorly understood and alteration in the brain pharmacokinetics of lithium may be one of the mechanisms explaining the variability in the clinical response to Li. Brain barriers such as the blood-brain barrier (BBB) and the blood-cerebrospinal fluid barrier (BCSFB) play a crucial role in controlling blood-to-brain and brain-to-blood exchanges of various molecules including central nervous system (CNS) drugs. Recent in vivo studies by nuclear resonance spectroscopy revealed heterogenous brain distribution of Li in human that were not always correlated with serum concentrations, suggesting regional and variable transport mechanisms of Li through the brain barriers. Moreover, alteration in the functionality and integrity of brain barriers is reported in various CNS diseases, as a cause or a consequence and in this regard, Li by itself is known to modulate BBB properties such as the expression and activity of various transporters, metabolizing enzymes, and the specialized tight junction proteins on BBB. In this review, we will focus on recent knowledge into the role of the brain barriers as key-element in the Li neuropharmacokinetics which might improve the understanding of PK-PD of Li and its interindividual variability in drug response.
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Affiliation(s)
- Huilong Luo
- Université de Paris, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France; Department of Chemical and Biological Engineering, University of Wisconsin-Madison, USA
| | - Lucie Chevillard
- Université de Paris, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France
| | - Frank Bellivier
- Université de Paris, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France; Department of Psychiatry, Lariboisière Hospital, AP-HP, 75010 Paris, France
| | - Bruno Mégarbane
- Université de Paris, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France; Department of Medical and Toxicological Critical Care, Lariboisière Hospital, AP-HP, 75010 Paris, France
| | - Bruno Etain
- Université de Paris, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France; Department of Psychiatry, Lariboisière Hospital, AP-HP, 75010 Paris, France
| | - Salvatore Cisternino
- Université de Paris, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France; Service de Pharmacie, AP-HP, Hôpital Necker, 149 Rue de Sèvres, 75015 Paris, France
| | - Xavier Declèves
- Université de Paris, Inserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France; Biologie du Médicament, AP-HP, Hôpital Cochin, 27 rue du Faubourg, St. Jacques, 75679 Paris Cedex 14, France.
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Etain B, Bellivier F, Olié E, Aouizerate B, Aubin V, Belzeaux R, Courtet P, Dubertret C, Schwan R, Roux P, Polosan M, Leboyer M, Godin O. Clinical predictors of recurrences in bipolar disorders type 1 and 2: A FACE-BD longitudinal study. J Psychiatr Res 2021; 134:129-137. [PMID: 33385631 DOI: 10.1016/j.jpsychires.2020.12.041] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 11/03/2020] [Accepted: 12/12/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To examine which characteristics predict the time to a first mood recurrence at three years in Bipolar Disorder type I (BD-I) and type II (BD-II). METHODS Individuals with BD were followed up to 3 years. Turbull's extension of the Kaplan-Meier analysis for interval-censored data was used to estimate the cumulative probability of recurrence over time. Separate models were performed according to BD subtype to determine which baseline factors were predictive of recurrences and were adjusted for age, gender and educational level. RESULTS We included 630 individuals with BD-I and 505 with BD-II. The first recurrence of any polarity occurred earlier in BD-II (p = 0.03). The first depressive recurrence occurred earlier in BD-II (p < 0.0001), whereas the first (hypo)manic recurrence occurred earlier in BD-I (p = 0.0003). In BD-I, the clinical variables that were associated to the time to a first mood recurrence were depressive symptoms, lifetime rapid cycling, global activation and the number of psychotropic medications at baseline. In BD-II, the time to a first recurrence was associated with a younger age at onset of BD and a higher number of lifetime mood episodes. The Areas Under the Curve for both models were moderate. CONCLUSION Predictors of recurrences showed few specificities to BD-I or BD-II. The ability to predict recurrences in BD based on socio-demographic and clinical variables remained too moderate for a transfer in daily practice. This study highlights the need for further studies that would include other types of predictors, such as molecular, cognitive or neuro-imaging ones, to achieve an accurate level of prediction of recurrences in BD.
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Affiliation(s)
- B Etain
- Université de Paris, Paris, France; AP-HP, Groupe Hospitalo-universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France; INSERM UMRS 1144, Paris, France; Fondation FondaMental, Créteil, France.
| | - F Bellivier
- Université de Paris, Paris, France; AP-HP, Groupe Hospitalo-universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France; INSERM UMRS 1144, Paris, France; Fondation FondaMental, Créteil, France
| | - E Olié
- Fondation FondaMental, Créteil, France; Department of Emergency Psychiatry and Acute Care, CHU Montpellier, INSERM U1061, Montpellier University, Montpellier, France
| | - B Aouizerate
- Fondation FondaMental, Créteil, France; Centre Hospitalier Charles Perrens, F-33076, Bordeaux, France; Université de Bordeaux, Centre Hospitalier Charles Perrens, Laboratoire NutriNeuro (UMR INRA 1286), Université de Bordeaux, F-33076, Bordeaux, France
| | - V Aubin
- Fondation FondaMental, Créteil, France; Pôle de Psychiatrie, Centre Hospitalier Princesse Grace, Monaco
| | - R Belzeaux
- Fondation FondaMental, Créteil, France; Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, Marseille, France; INT-UMR7289,CNRS Aix-Marseille Université, Marseille, France
| | - P Courtet
- Fondation FondaMental, Créteil, France; Department of Emergency Psychiatry and Acute Care, CHU Montpellier, INSERM U1061, Montpellier University, Montpellier, France
| | - C Dubertret
- Fondation FondaMental, Créteil, France; AP-HP, Groupe Hospitalo-universitaire AP-HP Nord, DMU ESPRIT, Service de Psychiatrie et Addictologie, Hôpital Louis Mourier, Colombes, France; Inserm U894, Université de Paris, Sorbonne Paris Cité, Faculté de Médecine, France
| | - R Schwan
- Fondation FondaMental, Créteil, France; Université de Lorraine, CHRU de Nancy et Pôle de Psychiatrie et Psychologie Clinique, Centre Psychothérapique de Nancy, Nancy, France
| | - P Roux
- Fondation FondaMental, Créteil, France; Centre Hospitalier de Versailles, Service Universitaire de Psychiatrie d'adulte et d'addictologie, Le Chesnay, EA 4047 HANDIReSP, UFR des Sciences de la Santé Simone Veil, Université Versailles Saint-Quentin-en-Yvelines, Versailles, France; Equipe « PsyDev », CESP, Université Paris-Saclay, Inserm, 94807, Villejuif, France
| | - M Polosan
- Fondation FondaMental, Créteil, France; Université Grenoble Alpes, CHU de Grenoble et des Alpes, Grenoble Institut des Neurosciences (GIN) Inserm U 1216, Grenoble, France
| | - M Leboyer
- Fondation FondaMental, Créteil, France; INSERM U955, équipe de Psychiatrie Translationnelle, Créteil, France; Université Paris-Est Créteil, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France
| | - O Godin
- Fondation FondaMental, Créteil, France; Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, INSERM, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, F-75013, Paris, France
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Ossola P, Garrett N, Sharot T, Marchesi C. Belief updating in bipolar disorder predicts time of recurrence. eLife 2020; 9:e58891. [PMID: 33168133 PMCID: PMC7655098 DOI: 10.7554/elife.58891] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 10/23/2020] [Indexed: 11/13/2022] Open
Abstract
Bipolar disorder is a chronic relapsing condition in which mood episodes are interspersed with periods of wellbeing (euthymia). Shorter periods of euthymia are associated with poorer functioning, so it is crucial to identify predictors of relapse to facilitate treatment. Here, we test the hypothesis that specific valence-dependent learning patterns emerge prior to the clinical manifestation of a relapse, predicting its timing. The ability to update beliefs in response to positive and negative information was quantified in bipolar patients during euthymia, who were then monitored for 5 years. We found that reduced tendency to update beliefs in response to positive relative to negative information predicted earlier relapse. Less updating in response to positive information may generate pessimistic beliefs, which in turn can lead to more severe prodromal symptoms (e.g. sleep disturbance, irritability etc.). The results suggest that measuring valence-dependent belief updating could facilitate risk prediction in bipolar disorder.
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Affiliation(s)
- Paolo Ossola
- Psychiatry Unit, Department of Medicine and Surgery, Università di ParmaParmaItaly
| | - Neil Garrett
- Department of Experimental Psychology, University of OxfordOxfordUnited Kingdom
| | - Tali Sharot
- Affective Brain Lab, Department of Experimental Psychology, University College LondonLondonUnited Kingdom
| | - Carlo Marchesi
- Psychiatry Unit, Department of Medicine and Surgery, Università di ParmaParmaItaly
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Birmaher B, Merranko JA, Gill MK, Hafeman D, Goldstein T, Goldstein B, Hower H, Strober M, Axelson D, Ryan N, Yen S, Diler R, Iyengar S, Kattan MW, Weinstock L, Keller M. Predicting Personalized Risk of Mood Recurrences in Youths and Young Adults With Bipolar Spectrum Disorder. J Am Acad Child Adolesc Psychiatry 2020; 59:1156-1164. [PMID: 31978620 PMCID: PMC7371512 DOI: 10.1016/j.jaac.2019.12.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 12/04/2019] [Accepted: 01/14/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE With each recurrence the prognosis of bipolar disorder (BD) worsens, indicating the need to identify the factors associated with increased recurrence risk. The course of BD is heterogenous and although risk factors for recurrence for the group as a whole have been reported in the literature, identification of risk factors for a specific individual are crucial for developing personalized treatments. METHOD A total of 363 recovered BD youths/young adults from the Course and Outcome of Bipolar Youth (COBY) study were included. Participants were evaluated on average every 7 months for a median of 12.5 years and interviewed with standard instruments. Risk factors of recurrence from the literature were used to build a risk calculator (RC) to predict recurrence risk at different time intervals. RESULTS Approximately 80% of participants had at least one syndromal recurrence and 60% had ≥2 recurrences, particularly depressions. The 6-month and 1-, 2-, 3-, and 5-year RC showed an accuracy between 72% and 82% for predicting any mood recurrences, and up to 80% for depression and 89% for hypo/mania (sensitivity/specificity both 0.74). The most influential recurrence risk factors were shorter recovery lengths, younger age at assessment, earlier mood onset, and more severe prior depression. Although important, other factors associated with recurrence risk, such as interepisodic subsyndromal mood symptoms and comorbidities, did not influence the RC score beyond factors noted above. CONCLUSION The RC provides a useful tool for predicting an individual's recurrence risk of depression and/or hypo/mania in BD youths and for developing personalized interventions and informing research. Replication studies are warranted.
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Affiliation(s)
- Boris Birmaher
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
| | - John A. Merranko
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Danella Hafeman
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Tina Goldstein
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Benjamin Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine, Ontario, Canada
| | - Heather Hower
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University; Butler Hospital, Providence, Rhode Island
| | - Michael Strober
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California
| | - David Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine, Columbus, Ohio
| | - Neal Ryan
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Shirley Yen
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University; Butler Hospital, Providence, Rhode Island
| | - Rasim Diler
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh, 2717 Cathedral of Learning, Pittsburgh, PA
| | | | - Lauren Weinstock
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University; Butler Hospital, Providence, Rhode Island
| | - Martin Keller
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University; Butler Hospital, Providence, Rhode Island
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Haddad C, Sacre H, Hallit S, Obeid S, Al-Zein D, Nabout R, Zoghbi M, Haddad G. Prevalence of comorbidities and correlates of hospital readmission rate in patients with acute mania: A one-year retrospective data from a tertiary care. Perspect Psychiatr Care 2020; 56:753-759. [PMID: 31828814 DOI: 10.1111/ppc.12464] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 11/24/2019] [Accepted: 12/06/2019] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To assess the prevalence of medical comorbidities in acute manic patients over a period of 1 year, and to evaluate correlates of the readmission rate. DESIGN/METHODS A retrospective observational study was conducted on 158 acute manic patients from 2016 to 2017. RESULTS The most common physical comorbidity was obesity (36.1%) followed by cardiovascular disorders (15.2%) and liver dysfunctions (9.3%). Male gender was associated with higher readmission rate (Beta = -0.260), while taking anticholinergic drugs (Beta = -0.338) and having a family history of psychiatric disorders (Beta = -0.222) were associated with lower readmission rate. PRACTICAL IMPLICATIONS The study results may help physicians and other clinicians understand the burden of illness recurrence in bipolar disorder type I patients and adopt effective strategies to prevent relapse, taking into account all comorbidities.
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Affiliation(s)
- Chadia Haddad
- Departments of Research, Psychology and Psychiatry, Psychiatric Hospital of the Cross, Jal Eddib, Lebanon
| | - Hala Sacre
- Drug Information Center, Order of Pharmacists of Lebanon, Beirut, Lebanon.,INSPECT-LB: Institut National de Sante Publique, Epidemiologie Clinique et Toxicologie, Beirut, Lebanon
| | - Souheil Hallit
- INSPECT-LB: Institut National de Sante Publique, Epidemiologie Clinique et Toxicologie, Beirut, Lebanon.,Faculty of Medicine and Medicine Sciences, Holy Spirit University of Kaslik (USEK), Jounieh, Lebanon
| | - Sahar Obeid
- Departments of Research, Psychology and Psychiatry, Psychiatric Hospital of the Cross, Jal Eddib, Lebanon.,INSPECT-LB: Institut National de Sante Publique, Epidemiologie Clinique et Toxicologie, Beirut, Lebanon.,Department of Psychology, Faculty of Arts and Sciences, Holy Spirit University of Kaslik (USEK), Jounieh, Lebanon
| | - Darine Al-Zein
- Department of Life and Earth Sciences, Faculty of Sciences II, Lebanese University, Beirut, Lebanon
| | - Rita Nabout
- Department of Life and Earth Sciences, Faculty of Sciences II, Lebanese University, Beirut, Lebanon
| | - Marouan Zoghbi
- Departments of Research, Psychology and Psychiatry, Psychiatric Hospital of the Cross, Jal Eddib, Lebanon.,Department of Family Medicine, Saint-Joseph University, Beirut, Lebanon
| | - Georges Haddad
- Departments of Research, Psychology and Psychiatry, Psychiatric Hospital of the Cross, Jal Eddib, Lebanon.,Faculty of Medicine and Medicine Sciences, Holy Spirit University of Kaslik (USEK), Jounieh, Lebanon.,Department of Life and Earth Sciences, Faculty of Sciences II, Lebanese University, Beirut, Lebanon
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A prospective longitudinal study searching for predictors of response to group psychoeducation in bipolar disorder. J Affect Disord 2020; 274:1113-1121. [PMID: 32663939 DOI: 10.1016/j.jad.2020.02.047] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 02/10/2020] [Accepted: 02/27/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND The efficacy of adjunctive group psychoeducation in bipolar disorder has been proven although treatment response differ among individuals. The aim of this study was to characterize responders and non-responders to group psychoeducation in order to identify baseline variables that could predict treatment response. METHODS The sample was composed of 103 medicated euthymic patients with bipolar disorder referred to 21 sessions of group psychoeducation (6 months). Sociodemographic and clinical variables, temperament, circadian rhythms, BDNF, cognitive and psychosocial functioning were collected. At the 18-month endpoint, the patients were split in two groups on the basis of having suffered any recurrence. Significant group differences were included in a logistic regression analysis. RESULTS Ninety patients out of 103 engaged in group psychoeducation, 47 of whom (52.2%) responded to psychoeducation and 43 (47.8%) did not. Recurrences occurred more often in the follow-up, the most common being depression. Responders and non-responders differed in gender, age at diagnosis, latency of diagnosis, temperament, attention composite score and BDNF. Lower age at diagnosis of bipolar disorder, lower cyclothimic temperament scores and being male -which was associated with bipolar type I and a trend to more previous manic episodes- were significantly related to a better response to psychoeducation in the regression analysis. LIMITATIONS No control group. CONCLUSIONS This study identifies age at diagnosis as a significant modifiable risk factor of treatment response, highlighting the need for early identification of bipolar disorder. Existing programs should be adjusted to the characteristics of specific subpopulations in the framework of a personalized approach.
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Valls È, Sánchez-Moreno J, Bonnín CM, Solé B, Prime-Tous M, Torres I, Brat M, Gavin P, Morilla I, Montejo L, Jiménez E, Varo C, Torrent C, Hidalgo-Mazzei D, Vieta E, Martínez-Arán A, Reinares M. Effects of an integrative approach to bipolar disorders combining psychoeducation, mindfulness-based cognitive therapy and functional remediation: Study protocol for a randomized controlled trial. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2020; 13:165-173. [DOI: 10.1016/j.rpsm.2020.05.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/09/2020] [Accepted: 05/16/2020] [Indexed: 01/28/2023]
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Vieira IS, Pedrotti Moreira F, Mondin TC, Cardoso TDA, Jansen K, Souza LDDM, da Silva RA. Childhood trauma and bipolar spectrum: a population-based sample of young adults. TRENDS IN PSYCHIATRY AND PSYCHOTHERAPY 2020; 42:115-121. [DOI: 10.1590/2237-6089-2019-0046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 11/12/2019] [Indexed: 11/21/2022]
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Valiente-Gómez A, Pujol N, Moreno-Alcázar A, Radua J, Monteagudo-Gimeno E, Gardoki-Souto I, Hogg B, Álvarez MJ, Safont G, Lupo W, Pérez V, Amann BL. A Multicenter Phase II RCT to Compare the Effectiveness of EMDR Versus TAU in Patients With a First-Episode Psychosis and Psychological Trauma: A Protocol Design. Front Psychiatry 2020; 10:1023. [PMID: 32116827 PMCID: PMC7014965 DOI: 10.3389/fpsyt.2019.01023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 12/24/2019] [Indexed: 11/13/2022] Open
Abstract
Background Patients with a first episode psychosis (FEP) who are admitted for the first time to a psychiatric hospital frequently have experienced prior psychological trauma. Additionally, 40-80% develop posttraumatic stress symptoms, which are summarized as a post-psychotic post-traumatic syndrome (PPS). Eye Movement Desensitization and reprocessing (EMDR) therapy could be an effective psychotherapy to treat a PPS and prior psychological traumas in this population. Objectives To assess if EMDR therapy leads to: 1) a reduction of relapses after intervention, 2) an improvement of trauma-related, psychotic and affective symptoms, 3) an improvement of overall functioning, and 4) an improvement in quality of life. Methods This is a multicenter phase II rater-blinded randomized controlled trial in which 80 FEP patients with a history of psychological trauma will be randomly assigned to EMDR (n = 40) or to TAU (n = 40). Traumatic events will be measured by the Global Assessment of Posttraumatic Stress Questionnaire, the Cumulative Trauma Screening, the Impact of Event Scale-Revised, the Dissociative Experiences Scale, the Childhood Trauma Scale, the Holmes-Rahe Life Stress Inventory, and the Dissociative Experiences Questionnaire. Clinical symptomatology will be evaluated using the Suicide and Drug Consumption module of the International Neuropsychiatric Interview, Structured Clinical Interview for Positive and Negative Syndrome Scale, Young's Scale for Mania Evaluation, and Beck Depression II Questionnaire. Functionality will be assessed with the Global Assessment of Functioning and the Quality of Life with the Standardized Instrument developed by the EuroQol Group. The cognitive insight and adherence to the treatment will be assessed with the Beck Cognitive Insight Scale and the Drug Attitude Inventory. All variables will be measured at baseline, post-treatment and at 12-month follow-up. Conclusion This study will provide evidence of whether EMDR therapy is effective in reducing trauma and clinical symptoms, reducing relapses and in improving functionality and quality of life in patients with FEP and a history of trauma. Clinical Trial Registration www.ClinicalTrials.gov, identifier: NCT03991377.
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Affiliation(s)
- Alicia Valiente-Gómez
- Centre Forum Research Unit, Institut de Neuropsiquiatria i Addiccions (INAD), Parc de Salut Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- CIBERSAM, Madrid, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Nuria Pujol
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- CIBERSAM, Madrid, Spain
- Institut de Neuropsiquiatria i Addiccions (INAD), Hospital del Mar, Barcelona, Spain
| | - Ana Moreno-Alcázar
- Centre Forum Research Unit, Institut de Neuropsiquiatria i Addiccions (INAD), Parc de Salut Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- CIBERSAM, Madrid, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Joaquim Radua
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Eila Monteagudo-Gimeno
- Department of Psychiatry and Forensic Medicine, School of Medicine Universitat Autònoma de Barcelona, Barcelona, Spain
- Institut de Neuropsiquiatria i Addiccions (INAD), Hospital del Mar, Barcelona, Spain
| | - Itxaso Gardoki-Souto
- Centre Forum Research Unit, Institut de Neuropsiquiatria i Addiccions (INAD), Parc de Salut Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Bridget Hogg
- Centre Forum Research Unit, Institut de Neuropsiquiatria i Addiccions (INAD), Parc de Salut Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Gemma Safont
- CIBERSAM, Madrid, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine Universitat Autònoma de Barcelona, Barcelona, Spain
- University Hospital Mutua Terrassa, Barcelona, Spain
| | - Walter Lupo
- Centre Forum Research Unit, Institut de Neuropsiquiatria i Addiccions (INAD), Parc de Salut Mar, Barcelona, Spain
| | - Victor Pérez
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- CIBERSAM, Madrid, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine Universitat Autònoma de Barcelona, Barcelona, Spain
- Institut de Neuropsiquiatria i Addiccions (INAD), Hospital del Mar, Barcelona, Spain
| | - Benedikt L. Amann
- Centre Forum Research Unit, Institut de Neuropsiquiatria i Addiccions (INAD), Parc de Salut Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- CIBERSAM, Madrid, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine Universitat Autònoma de Barcelona, Barcelona, Spain
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Carmassi C, Bertelloni CA, Dell'Oste V, Foghi C, Diadema E, Cordone A, Pedrinelli V, Dell'Osso L. Post-traumatic stress burden in a sample of hospitalized patients with Bipolar Disorder: Which impact on clinical correlates and suicidal risk? J Affect Disord 2020; 262:267-272. [PMID: 31732278 DOI: 10.1016/j.jad.2019.10.044] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Revised: 09/05/2019] [Accepted: 10/28/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND Increasing evidence suggests Bipolar Disorder (BD) to be frequently associated to a history of traumatic experiences and Post-traumatic Stress Disorder (PTSD), with consequent greater symptoms severity, number of hospitalizations and worsening in quality of life. The aim of the present study was to investigate the lifetime exposure to traumatic events and PTSD rates in-patients with BD and to analyze the relationships between PTSD symptoms, clinical characteristics and severity of the mood disorder. METHODS A consecutive sample of 212 in-patients with a DSM-5 diagnosis of BD was enrolled at the psychiatric unit of a major University hospital in Italy and assessed by the SCID-5 and MOOD Spectrum-Self Report lifetime version (MOODS-SR). Socio-demographic characteristics, clinical features, substance or alcohol abuse, history of suicide related behaviors were also collected. RESULTS Lifetime trauma exposure emerged in 72.3% subjects, with a DSM-5 PTSD diagnosis reported by 35.6%. Patients with PTSD showed more frequently a (hypo)manic episode at onset, alcohol or substance abuse, psychotic features, suicide behaviors, higher scores in almost all the MOODS-SR domains, compared to those without PTSD. LIMITATIONS Cross sectional study. Lack of data about the time since trauma exposure or PTSD onset. CONCLUSIONS Our findings show a history of multiple traumatic experiences in hospitalized patients with BD besides high rates of PTSD, with the co-occurrence of these conditions appearing to be related to a more severe BD. Detailed investigation of post-traumatic stress symptoms is recommended for the relevant implications on the choice of a tailored treatment and the prognosis assessment.
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Affiliation(s)
- Claudia Carmassi
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56100 Pisa, Italy
| | - Carlo Antonio Bertelloni
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56100 Pisa, Italy.
| | - Valerio Dell'Oste
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56100 Pisa, Italy
| | - Claudia Foghi
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56100 Pisa, Italy
| | - Elisa Diadema
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56100 Pisa, Italy
| | - Annalisa Cordone
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56100 Pisa, Italy
| | - Virginia Pedrinelli
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56100 Pisa, Italy
| | - Liliana Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56100 Pisa, Italy
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Grunze H, Born C. The Impact of Subsyndromal Bipolar Symptoms on Patient's Functionality and Quality of Life. Front Psychiatry 2020; 11:510. [PMID: 32595531 PMCID: PMC7304232 DOI: 10.3389/fpsyt.2020.00510] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 05/18/2020] [Indexed: 02/05/2023] Open
Abstract
Subsyndromal symptoms have rarely been in the focus of bipolar research. This may be, in part, due to the fact that there is neither a uniform definition nor do they constitute an indication of regulatory and commercial interest. Nevertheless, they do have a decisive impact on the long-term course of bipolar disorder (BD), and the degree of functionality and quality of life (QoL) is more likely determined by their presence or absence than by acute episodes. Summarizing the literature an estimated 20-50% of patients suffer inter-episodically or chronically from subsyndromal BD. The most prominent symptoms that interfere with functionality are subsyndromal depression, disturbances of sleep, and perceived cognitive impairment, whereas anxiety negatively impacts on QoL. In the absence of evidence-based pharmacological treatments for subsyndromal BD, clinical practice adopts guidelines designed for treatment-resistant full-blown episodes of BD, supplemented by cognitive-behavioral, family focused or social-rhythm-based psychotherapies.
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Ragazan DC, Eberhard J, Berge J. Sex-Specific Associations Between Bipolar Disorder Pharmacological Maintenance Therapies and Inpatient Rehospitalizations: A 9-Year Swedish National Registry Study. Front Psychiatry 2020; 11:598946. [PMID: 33262715 PMCID: PMC7688467 DOI: 10.3389/fpsyt.2020.598946] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 10/12/2020] [Indexed: 12/11/2022] Open
Abstract
Background: Long-term pharmacological maintenance therapy is often essential among people with bipolar disorder to reduce the need for inpatient care. Sex-specific responses to maintenance therapies are expected but remain largely unknown. Here, we examined for sex-specific associations between common maintenance therapies for bipolar disorder with inpatient rehospitalizations following patients' index discharges during 2006-2014. Methods: Population-based data on maintenance therapies and rehospitalizations were extracted from Swedish national registries. We adopted the within-individual design to compare the time on- vs. off- maintenance therapy for males and females, respectively. Extended stratified Cox proportional hazards regression models were employed to quantify the rate of rehospitalization as a function of common maintenance drugs and other important time-varying control variables. Results: Our primary analysis included 22,681 bipolar disorder rehospitalizations by 6,400 males and 9,588 (60.0%) females over an observation time of 62,813 person-years. The time spent on- vs. off- maintenance lithium, lamotrigine, quetiapine, or olanzapine was statistically significant upon adjustment among either sex for reducing the rate of bipolar rehospitalizations. Adjusted sex-specific statistically significant associations were also observed. Among females, the time on- (vs. off-) long-acting injectable risperidone reduced the rate of bipolar rehospitalizations by 73% (56-84%), carbamazepine by 44% (18-62%), aripiprazole by 29% (13-42%), and valproate by 23% (11-33%); whereas among males, ziprasidone by 65% (41-79%). Conclusion: The effectiveness of most maintenance therapies is generally comparable and uniform among both males and females. Despite some statistically significant sex-specific associations, estimates for each drug were fairly consistent between sexes.
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Affiliation(s)
- Dragos C Ragazan
- Division of Psychiatry, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden.,Vancouver Coastal Health Authority, University of British Columbia Hospital Detwiller Pavilion, Vancouver, BC, Canada
| | - Jonas Eberhard
- Division of Psychiatry, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden.,Region Skåne, Adult Psychiatry Clinic Helsingborg, Helsingborg, Sweden
| | - Jonas Berge
- Division of Psychiatry, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden.,Region Skåne, Adult Psychiatry Clinic Malmö, Addiction Centre Malmö, Malmö, Sweden
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Valiente-Gómez A, Moreno-Alcázar A, Gardoki-Souto I, Masferrer C, Porta S, Royuela O, Hogg B, Lupo W, Amann BL. Theoretical Background and Clinical Aspects of the Use of EMDR in Patients With Bipolar Disorder. JOURNAL OF EMDR PRACTICE AND RESEARCH 2019. [DOI: 10.1891/1933-3196.13.4.307] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Bipolar disorder (BD) is associated with a lifelong episodic course of severe mood and behavioral disturbance. In last decades treatment improved with numerous pharmacological and psychosocial treatments; however, subsequent mood episode rates are still high and possible risk factors for subsequent mood episodes are not sufficiently addressed. Of note, childhood trauma and stressful life events represent significant, under-recognized, and often neglected environmental risk factors in the etiology and course of BD. Here, we summarize the evidence of eye movement desensitization and reprocessing (EMDR) therapy in BD with posttraumatic stress disorder (PTSD) or life traumatic events. So far, one case report study and one pilot randomized controlled trial (RCT) have been published suggesting positive effect of EMDR therapy in BD. Currently, two larger further RCTs are ongoing to increase scientific evidence of the use of EMDR therapy in this indication, especially with a focus on its effect on relapse prevention. In addition, a functional neuroimaging case report of a bipolar subject versus 30 healthy controls showed first evidence that EMDR might modulate the default mode network. These preliminary results suggest that EMDR could be a promising and safe psychotherapeutic approach for the add-on treatment of bipolar subjects, but confirmative large RCT are needed, with two currently being conducted.
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Murru A, Verdolini N, Anmella G, Pacchiarotti I, Samalin L, Aedo A, Undurraga J, Goikolea JM, Amann BL, Carvalho AF, Vieta E. A 12-month prospective study on the time to hospitalization and clinical management of a cohort of bipolar type I and schizoaffective bipolar patients. Eur Psychiatry 2019; 61:1-8. [DOI: 10.1016/j.eurpsy.2019.06.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 05/15/2019] [Accepted: 06/06/2019] [Indexed: 01/09/2023] Open
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Lifetime Psychotic Symptoms, Subthreshold Depression and Cognitive Impairment as Barriers to Functional Recovery in Patients with Bipolar Disorder. J Clin Med 2019; 8:jcm8071046. [PMID: 31323795 PMCID: PMC6679346 DOI: 10.3390/jcm8071046] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 07/10/2019] [Accepted: 07/16/2019] [Indexed: 01/01/2023] Open
Abstract
(1) Background: bipolar disorder (BD) is a chronic disease that often leads to functional impairment. The objective of this study is to elucidate which variables are associated with better functional outcomes in a sample of euthymic patients with BD. (2) Methods: patients were recruited at the Hospital Clinic of Barcelona and they underwent a clinical interview, a functional assessment, and a comprehensive neuropsychological evaluation. After that, patients were divided into two groups according to the Functioning Assessment Short Test total score: functionally remitted vs. functionally impaired. Following this, a multivariate logistic regression was run in order to identify clinical, demographic and cognitive factors associated with functional remission. (3) Results: a total of 420 euthymic patients with BD were assessed for this study, distributed as follows: functionally remitted (n = 221) and functionally impaired (n = 199). Finally, the multivariate logistic regression revealed that only five variables significantly contributed to the model, including: lifetime history of psychotic symptoms (the variable that contributed the most to the model), followed by the Hamilton Depression total score, and cognitive performance (executive functions and verbal memory). (4) Conclusions: treatments to ensure a good functional outcome in BD should specially prevent psychosis, target subthreshold depressive symptoms and enhance cognition, more specifically executive functions and verbal memory.
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Landin-Romero R, Moreno-Alcázar A, Ferguson G, Pérez V, Amann BL. That which does not kill you-May afflict you? Psychological trauma in bipolar disorder. Bipolar Disord 2019; 21:192-193. [PMID: 30815972 DOI: 10.1111/bdi.12766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Ramon Landin-Romero
- Brain and Mind Centre and School of Psychology, The University of Sydney, Sydney, Australia.,ARC Centre of Excellence in Cognition and its Disorders, Sydney, Australia
| | - Ana Moreno-Alcázar
- Centre Fòrum Research Unit, Institut de Neuropsiquiatria i Addiccions, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomedica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Greta Ferguson
- School of Medical Sciences, The University of Sydney, Sydney, Australia
| | - Victor Pérez
- Centre Fòrum Research Unit, Institut de Neuropsiquiatria i Addiccions, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomedica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Psychiatry, Autonomous University of Barcelona, Barcelona, Spain
| | - Benedikt L Amann
- Centre Fòrum Research Unit, Institut de Neuropsiquiatria i Addiccions, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomedica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Psychiatry, Autonomous University of Barcelona, Barcelona, Spain
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46
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Bonnín CDM, Reinares M, Martínez-Arán A, Jiménez E, Sánchez-Moreno J, Solé B, Montejo L, Vieta E. Improving Functioning, Quality of Life, and Well-being in Patients With Bipolar Disorder. Int J Neuropsychopharmacol 2019; 22:467-477. [PMID: 31093646 PMCID: PMC6672628 DOI: 10.1093/ijnp/pyz018] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 04/09/2019] [Accepted: 04/16/2019] [Indexed: 12/18/2022] Open
Abstract
People with bipolar disorder frequently experience persistent residual symptoms, problems in psychosocial functioning, cognitive impairment, and poor quality of life. In the last decade, the treatment target in clinical and research settings has focused not only on clinical remission, but also on functional recovery and, more lately, in personal recovery, taking into account patients' well-being and quality of life. Hence, the trend in psychiatry and psychology is to treat bipolar disorder in an integrative and holistic manner. This literature review offers an overview regarding psychosocial functioning in bipolar disorder. First, a brief summary is provided regarding the definition of psychosocial functioning and the tools to measure it. Then, the most reported variables influencing the functional outcome in patients with bipolar disorder are listed. Thereafter, we include a section discussing therapies with proven efficacy at enhancing functional outcomes. Other possible therapies that could be useful to prevent functional decline and improve functioning are presented in another section. Finally, in the last part of this review, different interventions directed to improve patients' well-being, quality of life, and personal recovery are briefly described.
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Affiliation(s)
- Caterina del Mar Bonnín
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - María Reinares
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Anabel Martínez-Arán
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain,Correspondence: Anabel Martínez-Arán, PhD, Clinical Institute of Neuroscience. Hospital Clinic of Barcelona, Villarroel, 170. 08036 Barcelona, Catalonia ()
| | - Esther Jiménez
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Jose Sánchez-Moreno
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Brisa Solé
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Laura Montejo
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
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Abstract
Our current conceptualisation of mixed states, defined as co-occurring manic and depressive symptoms, is unlikely to advance our knowledge or inform clinical practice. Episodes of mixed states can no longer be coded in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), and the 'mixed features specifier' fails to capture the most common mixed state presentations. This reflects a lack of understanding of both the importance of mixed states and their underlying pathophysiology. Indeed, research into the nature of mixed states is scarce and uninformative, and most clinical practice guidelines fail to provide advice regarding their management. In this paper, we proffer a reconceptualisation of mixed states that provides a framework for informing clinical practice and research. It is based on the ACE model, which deconstructs mood disorders into three domains of symptoms: activity, cognition, and emotion. Symptoms within each domain vary independently over time and in different directions (towards either excitation or inhibition). By deconstructing mood disorders into component domains, mixed states can be explained as the product of different domains varying 'out of sync'. In most cases, the aetiology of mixed states is unknown. Alongside such idiopathic mixed states, we describe three potential causes of mixed states that are important to consider when formulating management: transitions, ultradian cycling, and treatment-emergent affective switches. In addition to providing guidance on the identification of various kinds of mixed states, we discuss practical strategies for their management, including the monitoring of ACE domains and functioning, to inform the use of psychoeducation and lifestyle changes, psychotherapy, pharmacology, and electroconvulsive therapy.
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Affiliation(s)
- Gin S Malhi
- Discipline of Psychiatry, Northern Clinical School, University of Sydney, Sydney, NSW, 2000, Australia.
- Department of Academic Psychiatry, Northern Syndey Local Health District, St Leonards, NSW, 2065, Australia.
- CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia.
| | - Kristina Fritz
- Department of Psychology, California State University, Northridge, CA, USA
| | - Preeya Elangovan
- Department of Academic Psychiatry, Northern Syndey Local Health District, St Leonards, NSW, 2065, Australia
- CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
| | - Lauren Irwin
- Discipline of Psychiatry, Northern Clinical School, University of Sydney, Sydney, NSW, 2000, Australia
- Department of Academic Psychiatry, Northern Syndey Local Health District, St Leonards, NSW, 2065, Australia
- CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
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Bo Q, Dong F, Li X, Li F, Li P, Yu H, He F, Zhang G, Wang Z, Ma X, Wang C. Comparison of cognitive performance in bipolar disorder, major depressive disorder, unaffected first-degree relatives, and healthy controls. Psychiatry Clin Neurosci 2019; 73:70-76. [PMID: 30393945 DOI: 10.1111/pcn.12797] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 09/18/2018] [Accepted: 10/29/2018] [Indexed: 12/20/2022]
Abstract
AIM The extent and specifics regarding cognitive dysfunction in patients with bipolar disorder (BD) or major depressive disorder (MDD) and their unaffected first-degree relatives (FDR) have not been addressed in any single study. The present study compared the cognitive function of patients with BD or MDD, their FDR, and healthy control (HC) individuals. METHODS The study population comprised adults (aged 18-55 years) with BD, adults with MDD, FDR (children or siblings of patients with BD or MDD), and HC (n = 105, 109, 85, and 95, respectively). The Repeatable Battery for the Assessment of Neuropsychological Status was used to assess neurocognitive functions, with five domains and 12 tests. A Wechsler Adult Intelligence Scale brief form was applied to evaluate IQ. Status of mood was assessed using the Young Mania Rating Scale and the Hamilton Depression Scale. RESULTS The mixed model indicated significant variation among the four groups in cognitive function. Cognitive impairments, compared to HC, progressively greater from least to most were found in: FDR, MDD, and BD (F = 32.74, P < 0.001). Years of education correlated with cognitive performance (F = 17.04, P < 0.001), as did IQ (F = 240.63, P < 0.001). The total score for the Hamilton Rating Scale for Depression negatively correlated with cognitive function (F = 5.78, P = 0.017). CONCLUSION Among the study groups, patients with BD had the most severe deficits, followed by MDD patients and FDR. Cognitive deficits could not be associated with a specific psychiatric disorder, but differences in degree were noted.
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Affiliation(s)
- Qijing Bo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Fang Dong
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Xianbin Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Feng Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Peng Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Haiting Yu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Fan He
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Guofu Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Zhimin Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Xin Ma
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
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García-Jiménez J, Álvarez-Fernández M, Aguado-Bailón L, Gutiérrez-Rojas L. Factores asociados a la polaridad predominante en el trastorno bipolar: una revisión sistemática. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2019; 12:52-62. [DOI: 10.1016/j.rpsm.2017.06.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Revised: 05/19/2017] [Accepted: 06/14/2017] [Indexed: 01/25/2023]
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Vidal-Rubio SL, Balanzá-Martínez V, Cuenca M, Vila-Francés J, Vieta E, Romeu JE. Duration of euthymia and predominant polarity in bipolar disorder. J Affect Disord 2018; 241:356-359. [PMID: 30144718 DOI: 10.1016/j.jad.2018.08.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 05/23/2018] [Accepted: 08/01/2018] [Indexed: 01/10/2023]
Abstract
BACKGROUND The concept of Predominant Polarity (PP) provides relevant information for clinical practice and has been widely described as course specifier for Bipolar Disorder (BD), however it has not been incorporated in DSM-5 yet. A descriptive study was conducted to identify clinical patterns associated with PP in outpatients attending a Mental Health Unit. METHODS Clinical and socio-demographic characteristics were assessed from a sample of 118 euthymic outpatients fulfilling DSM 5 criteria for BDI or II recruited at a catchment area. According to their PP, patients were divided into three subgroups: depressive (DPP; 39.0%), manic (MPP; 32.2%) or indeterminate (IPP; 28.8%). Subgroups of PP were compared regarding a comprehensive set of demographic and clinical features. RESULTS PP subgroups significantly differed in duration of euthymia, measured in months since the last episode (p < 0.04), with MMP patients showing longer periods (42.4 months) than those with DPP and IPP (18.6 and 18.1 months, respectively). Moreover, history of seasonal pattern was significantly higher in the DPP group compared with the PPM group (p < 0.001). There were no significant correlations between PP and type of last episode, length of illness, number of previous admissions, history of psychotic symptoms, or number of suicide attempts. LIMITATIONS Cross sectional design, relatively modest sample size. CONCLUSIONS Our study showed similar results to previous literature regarding distribution of predominant polarity. The association found between PP and duration of euthymia represents a novel finding which awaits confirmation and adds further support to the usefulness of PP in clinical practice.
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Affiliation(s)
- Sonia Ll Vidal-Rubio
- Servicio de Psiquiatría, Departamento de Salud de la Ribera, Av. Santos Patronos 24, 8°, 29(a), 46.600 Alzira, Valencia, Spain.
| | - Vicent Balanzá-Martínez
- Teaching Unit of Psychiatry, Department of Medicine, University of Valencia, Valencia, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
| | - María Cuenca
- Dirección de Investigación y Docencia, Departamento de Salud de La Ribera. Valencia, Spain; Universidad Católica de Valencia San Vicente Mártir. Valencia. Spain
| | - Joan Vila-Francés
- IDAL - Intelligent Data Analysis laboratory, University of Valencia, Valencia, Spain
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain; Bipolar Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - José E Romeu
- Servicio de Psiquiatría, Departamento de Salud de la Ribera, Av. Santos Patronos 24, 8°, 29(a), 46.600 Alzira, Valencia, Spain
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