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Aguglia A, Giacomini G, De Michiel CF, Garbarino N, Lechiara A, Magni C, Meinero M, Verrina E, Costanza A, Amerio A, Amore M, Serafini G. Characterization of Bipolar Disorder I and II: Clinical Features, Comorbidities, and Pharmacological Pattern. ALPHA PSYCHIATRY 2024; 25:472-479. [PMID: 39360293 PMCID: PMC11443285 DOI: 10.5152/alphapsychiatry.2024.241474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 04/29/2024] [Indexed: 10/04/2024]
Abstract
Objective Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition provides precise diagnostic criteria to differentiate between bipolar disorder (BD) type I and II; nevertheless, it can be challenging to come up with the right diagnosis. The aim of this study is to evaluate the sociodemographic differences, clinical features, comorbidities, and pharmacological pattern between patients with BD type I and II. Methods A total of 680 patients with BD type I and II were consecutively recruited to our psychiatry department. A semi-structured interview was used to collect several information. Results Patients with BD type I were mostly males, single, with a lower current age, and unemployed compared to patients with BD type II. Furthermore, patients with BD type I showed an earlier age at onset and a significant higher prevalence of psychotic and residual symptoms, a higher number of hospitalizations, and involuntary admissions. On the other hand, patients with BD type II were associated with a significant higher prevalence of lifetime suicide attempts, psychiatric comorbidities, and use of alcohol. Finally, antidepressant drugs were prescribed more often to patients with BD type II, while antipsychotics and mood stabilizers were mostly prescribed in patients with BD type I. Conclusion the differentiation of the 2 nosologic bipolar diagnosis is in line with the current scientific interest, confirming the existence of a markedly different profile between BD type I and II. This differentiation could reduce the heterogeneity of bipolar presentation in research, optimize clinical assessment, and increase the interest in developing more precise and individualized therapeutic strategies, also implementing psychosocial therapies.
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Affiliation(s)
- Andrea Aguglia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Clio F De Michiel
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Nicolò Garbarino
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Alessio Lechiara
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Caterina Magni
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Matteo Meinero
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Edoardo Verrina
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Alessandra Costanza
- Department of Psychiatry, Geneva University Hospital (HUG), Geneva, Switzerland
- Department of Psychiatry, Faculty of Biomedical Sciences, University of Italian Switzerland, Lugano, Switzerland
- Department of Psychiatry, Faculty of Medicine, Geneva University, Geneva, Switzerland
| | - Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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Rajkhowa B, Mehan S, Sethi P, Prajapati A, Suri M, Kumar S, Bhalla S, Narula AS, Alshammari A, Alharbi M, Alkahtani N, Alghamdi S, Kalfin R. Activating SIRT-1 Signalling with the Mitochondrial-CoQ10 Activator Solanesol Improves Neurobehavioral and Neurochemical Defects in Ouabain-Induced Experimental Model of Bipolar Disorder. Pharmaceuticals (Basel) 2022; 15:ph15080959. [PMID: 36015107 PMCID: PMC9415079 DOI: 10.3390/ph15080959] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/25/2022] [Accepted: 07/27/2022] [Indexed: 12/12/2022] Open
Abstract
Bipolar disorder (BD) is a chronic mental illness characterized by mood fluctuations that range from depressive lows to manic highs. Several studies have linked the downregulation of SIRT-1 (silent mating type information regulation-2 homologs) signaling to the onset of BD and other neurological dysfunctions. This research aimed to look into the neuroprotective potential of Solanesol (SNL) in rats given ICV-Ouabain injections, focusing on its effect on SIRT-1 signaling activation in the brain. Ouabain, found in hypothalamic and medullary neurons, is an endogenous inhibitor of brain Na+/K+ ATPase. The inhibition of brain Na+/K+ ATPase by Ouabain may also result in changes in neurotransmission within the central nervous system. SNL is a Solanaceae family active phytoconstituent produced from the plant Nicotiana tabacum. SNL is used as a precursor for the production of CoQ10 (Coenzyme Q10), a powerful antioxidant and neuroprotective compound. In the current study, lithium (Li), an important mood stabilizer drug, was used as a control. This study looked at the neuroprotective potential of SNL at dosages of 40 and 80 mg/kg in ICV-OUA injections that caused BD-like neurobehavioral and neurochemical defects in Wistar rats. Wistar rats were placed into eight groups (n = 6) and administered 1 mM/0.5 µL ICV-OUA injections for three days. Neurochemical assessments were done in rat brain homogenates, CSF, and blood plasma samples at the end of the experiment protocol schedule. Long-term SNL and lithium administration have been shown to decrease the number of rearing and crossings and reduce time spent in the center, locomotor activities, and immobility time. Solansesol treatment gradually raises the amount of Na+/K+ ATPase, limiting the severity of behavioural symptoms. These findings also revealed that SNL increases the levels of SIRT-1 in CSF, blood plasma, and brain homogenate samples. Moreover, in rat brain homogenates and blood plasma samples, SNL modulates apoptotic markers such as Caspase-3, Bax (pro-apoptotic), and Bcl-2 (anti-apoptotic). Mitochondrial-ETC complex enzymes, including complex-I, II, IV, V, and CoQ10, were also restored following long-term SNL treatment. Furthermore, SNL lowered inflammatory cytokines (TNF-α, IL-1β) levels while restoring neurotransmitter levels (serotonin, dopamine, glutamate, and acetylcholine) and decreasing oxidative stress markers. Histological examinations also validated Solanesol’s protective effect. As a result, our findings suggest that SNL, as a SIRT-1 signalling activator, may be a promising therapeutic approach for BD-like neurological dysfunctions.
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Affiliation(s)
- Bidisha Rajkhowa
- Division of Neuroscience, Department of Pharmacology, ISF College of Pharmacy, Moga 142001, India; (B.R.); (P.S.); (A.P.); (M.S.); (S.K.); (S.B.)
| | - Sidharth Mehan
- Division of Neuroscience, Department of Pharmacology, ISF College of Pharmacy, Moga 142001, India; (B.R.); (P.S.); (A.P.); (M.S.); (S.K.); (S.B.)
- Correspondence: ; Tel.: +91-8059889909
| | - Pranshul Sethi
- Division of Neuroscience, Department of Pharmacology, ISF College of Pharmacy, Moga 142001, India; (B.R.); (P.S.); (A.P.); (M.S.); (S.K.); (S.B.)
| | - Aradhana Prajapati
- Division of Neuroscience, Department of Pharmacology, ISF College of Pharmacy, Moga 142001, India; (B.R.); (P.S.); (A.P.); (M.S.); (S.K.); (S.B.)
| | - Manisha Suri
- Division of Neuroscience, Department of Pharmacology, ISF College of Pharmacy, Moga 142001, India; (B.R.); (P.S.); (A.P.); (M.S.); (S.K.); (S.B.)
| | - Sumit Kumar
- Division of Neuroscience, Department of Pharmacology, ISF College of Pharmacy, Moga 142001, India; (B.R.); (P.S.); (A.P.); (M.S.); (S.K.); (S.B.)
| | - Sonalika Bhalla
- Division of Neuroscience, Department of Pharmacology, ISF College of Pharmacy, Moga 142001, India; (B.R.); (P.S.); (A.P.); (M.S.); (S.K.); (S.B.)
| | - Acharan S. Narula
- Narula Research, LLC, 107 Boulder Bluff, Chapel Hill, NC 27516, USA;
| | - Abdulrahman Alshammari
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia; (A.A.); (M.A.); (N.A.); (S.A.)
| | - Metab Alharbi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia; (A.A.); (M.A.); (N.A.); (S.A.)
| | - Nora Alkahtani
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia; (A.A.); (M.A.); (N.A.); (S.A.)
| | - Saeed Alghamdi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia; (A.A.); (M.A.); (N.A.); (S.A.)
| | - Reni Kalfin
- Institute of Neurobiology, Bulgarian Academy of Sciences, Acad. G. Bonchev St., Block 23, 1113 Sofia, Bulgaria;
- Department of Healthcare, South-West University “Neofit Rilski”, Ivan Mihailov St. 66, 2700 Blagoevgrad, Bulgaria
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Chen T, Mulloy EA, Eisenberg ML. Medical Treatment of Disorders of Ejaculation. Urol Clin North Am 2022; 49:219-230. [DOI: 10.1016/j.ucl.2021.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Kurimoto N, Inagaki T, Aoki T, Kadotani H, Kurimoto F, Kuriyama K, Yamada N, Ozeki Y. Factors causing a relapse of major depressive disorders following successful electroconvulsive therapy: A retrospective cohort study. World J Psychiatry 2021; 11:841-853. [PMID: 34733646 PMCID: PMC8546764 DOI: 10.5498/wjp.v11.i10.841] [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: 03/28/2021] [Revised: 07/26/2021] [Accepted: 08/30/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Electroconvulsive therapy (ECT) is used to treat major depressive disorder (MDD). Relapse is often observed even after successful ECT, followed by adequate pharmaceutical treatment for MDD. AIM To investigate the diagnostic factors and treatment strategies associated with depression relapse. METHODS We analyzed the relationships between relapse, the diagnostic change from MDD to bipolar disorder (BP), and treatment after the initial ECT. We performed a 3-year retrospective study of the prognoses of 85 patients of the Shiga University of Medical Science Hospital. The relative risk of relapse of depressive symptoms was calculated based on the diagnostic change from MDD to BP. A receiver operating characteristic (ROC) curve was generated to evaluate the predictive accuracy of diagnostic changes from MDD to BP based on the duration between the first course of ECT and the relapse of depressive symptoms. RESULTS Eighty-five patients initially diagnosed with MDD and successfully treated with ECT were enrolled in the study. Compared with the MDD participants, more BP patients experienced relapses and required continuation and/or maintenance ECT to maintain remission (65.6% vs 15.1%, P < 0.001; relative risk = 4.35, 95%CI: 2.19-8.63, P < 0.001). Twenty-nine patients experienced relapses during the three-year follow-up. In 21 (72.4%, 21/29) patients with relapse, the diagnosis was changed from MDD to BP. The duration from the first course of ECT to relapse was shorter for the BP patients than for the MDD patients (9.63 ± 10.4 mo vs 3.38 ± 3.77 mo, P = 0.022); for most patients, the interval was less than one month. The relative risk of depressive symptoms based on diagnostic changes was 4.35 (95% confidence interval: 2.19-8.63, P < 0.001), and the area under the ROC curve for detecting diagnostic changes based on relapse duration was 0.756 (95%CI: 0.562-0.895, P = 0.007). CONCLUSION It may be beneficial to suspect BP and change the treatment strategy from MDD to BP for patients experiencing an early relapse.
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Affiliation(s)
- Naoki Kurimoto
- Department of Psychiatry, Shiga University of Medical Science, Otsu 520-2192, Shiga, Japan
- Department of Psychiatry, Shigasato Hospital, Otsu 520-0006, Shiga, Japan
| | - Takahiko Inagaki
- Department of Psychiatry, Shiga University of Medical Science, Otsu 520-2192, Shiga, Japan
- Department of Psychiatry, Biwako Hospital, Otsu 520-0113, Shiga, Japan
| | - Takashi Aoki
- Department of Psychiatry, Shiga University of Medical Science, Otsu 520-2192, Shiga, Japan
- Department of Psychiatry, Shiga Hachiman Hospital, Omihachiman 523-8503, Shiga, Japan
| | - Hiroshi Kadotani
- Department of Psychiatry, Shiga University of Medical Science, Otsu 520-2192, Shiga, Japan
- Department of Sleep and Behavioral Sciences, Shiga University of Medical Science, Otsu 520-2192, Shiga, Japan
| | - Fujiki Kurimoto
- Department of Psychiatry, Shigasato Hospital, Otsu 520-0006, Shiga, Japan
| | - Kenichi Kuriyama
- Department of Psychiatry, Shiga University of Medical Science, Otsu 520-2192, Shiga, Japan
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira 187-8502, Tokyo, Japan
| | - Naoto Yamada
- Department of Psychiatry, Shiga University of Medical Science, Otsu 520-2192, Shiga, Japan
| | - Yuji Ozeki
- Department of Psychiatry, Shiga University of Medical Science, Otsu 520-2192, Shiga, Japan
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Abstract
Depression is a common and heterogeneous condition with a chronic and recurrent natural course that is frequently seen in the primary care setting. Primary care providers play a central role in managing depression and concurrent physical comorbidities, and they face challenges in diagnosing and treating the condition. In this two part series, we review the evidence available to help to guide primary care providers and practices to recognize and manage depression. In this first of two reviews, we outline an approach to screening and diagnosing depression in primary care that evaluates current evidence based guidelines and applies the recommendations to clinical practice. The second review presents an evidence based approach to the treatment of depression in primary care, detailing the recommended lifestyle, drug, and psychological interventions at the individual level. It also highlights strategies that are being adopted at an organizational level to manage depression more effectively in primary care.
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Affiliation(s)
- Erin K Ferenchick
- Center for Family and Community Medicine, Columbia University Medical Center, New York, NY, USA
| | | | - Harold Alan Pincus
- Department of Psychiatry, Columbia University, New York State Psychiatric Institute, New York, NY, USA
- Irving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA
- RAND Corporation, Pittsburgh, PA, USA
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Vijay A, Becker JE, Ross JS. Patterns and predictors of off-label prescription of psychiatric drugs. PLoS One 2018; 13:e0198363. [PMID: 30024873 PMCID: PMC6053129 DOI: 10.1371/journal.pone.0198363] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Accepted: 05/17/2018] [Indexed: 11/28/2022] Open
Abstract
Off-label prescribing of psychiatric drugs is common, despite lacking strong scientific evidence of efficacy and potentially increasing risk for adverse events. The goal of this study was to characterize prevalence of off-label prescriptions of psychiatric drugs and examine patient and clinician predictors of off-label use. This manuscript presents a retrospective, cross-sectional study using data from the 2012 and 2013 National Ambulatory Medical Care Surveys (NAMCS). The study examined all adult outpatient visits to psychiatric practices for chronic care management with a single listed visit diagnosis in which at least one psychiatric drug was prescribed. The main outcome measure was off-label prescribing of at least one psychiatric drug, defined as prescription for a condition for which it has not been approved for use by the FDA. Among our sample representative of 1.85 billion outpatient visits, 18.5 million (1.3%) visits were to psychiatrists for chronic care management in which at least one psychiatric drug was prescribed. Overall, the rate of off-label use was 12.9% (95% CI: 12.2-15.7). The most common off-label uses were for manic-depressive psychosis treated with citalopram and primary insomnia treated with trazodone. Several patient and clinician characteristics were positively associated with off-label prescribing, including seeing a psychiatrist (OR: 1.06, 95% CI, 1.01-1.12; p = 0.03) instead of another type of clinician, the office visit taking place in the Western region of the country (OR: 1.09, 95% CI, 1.01-1.17; p = 0.02), and the patient having 3 or more chronic conditions (OR: 1.12, 95% CI, 1.02-1.14; p = 0.003). In contrast, having Medicare coverage (OR: 0.93, 95% CI, 0.84-0.97; p = 0.04) and receiving payment assistance from a medical charity (OR: 0.91, 95% CI, 0.88-0.96; p = 0.03) instead of private insurance were negatively associated with off-label prescribing. These results suggest that certain classes of psychiatric medications are being commonly prescribed to treat conditions for which they have not been determined by the FDA to be clinically efficacious and/or safe.
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Affiliation(s)
- Aishwarya Vijay
- Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Jessica E. Becker
- MGH/McLean Psychiatry Residency Program, Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Joseph S. Ross
- Section of General Internal Medicine and the National Clinician Scholars Program, Yale School of Medicine, New Haven, Connecticut, United States of America
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America
- The Center for Outcomes Research and Evaluation, Yale–New Haven Hospital, New Haven, Connecticut, United States of America
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A Qualitative Exploration of Clinician Views and Experiences of Treatment Decision-Making in Bipolar II Disorder. Community Ment Health J 2017; 53:958-971. [PMID: 28102459 DOI: 10.1007/s10597-016-0077-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 12/21/2016] [Indexed: 01/20/2023]
Abstract
This study qualitatively explored clinicians' views and experiences of treatment decision-making in BPII. Semi-structured interviews were conducted with 20 practising clinicians (n = 10 clinical psychologists, n = 6 GPs, n = 4 psychiatrists) with experience in treating adult outpatients with BPII. Interviews were audiotaped, transcribed verbatim and thematically analysed using framework methods. Professional experience, and preferences for patient involvement in decision-making were also assessed. Qualitative analyses yielded four inter-related themes: (1) (non-)acceptance of diagnosis and treatment; (2) types of decisions; (3) treatment uncertainty and balancing act; and (4) decision-making in consultations. Clinician preferences for treatment, professional experience, and self-reported preferences for patient/family involvement seemed to influence decision-making. This study is the first to explore clinician views and experiences of treatment decision-making in BPII. Findings demonstrate how clinician-related factors may shape treatment decision-making, and suggest potential problems such as patient perceptions of lower-than-preferred involvement.
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Abstract
Major depression is a common condition seen in the primary care setting, often presenting with somatic symptoms. It is potentially a chronic illness with considerable morbidity, and a high rate of relapse and recurrence. Major depression has a bidirectional relationship with chronic diseases, and a strong association with increased age and coexisting mental illnesses (e.g. anxiety disorders). Screening can be performed using clinical tools for major depression, such as the Patient Health Questionaire-2, Patient Health Questionaire-9 and Beck Depression Inventory, so that timely treatment can be initiated. An accurate diagnosis of major depression and its severity is essential for prompt treatment to reduce morbidity and mortality. This is the first of a series of articles that illustrates the approach to the management of major depression in primary care. Our next articles will cover suicide risk assessment in a depressed patient and outline the basic principles of management and treatment modalities.
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Affiliation(s)
| | - Choon How How
- Care and Health Integration, Changi General Hospital, Singapore
| | - Yin Ping Ng
- Penang Medical College, Penang, Malaysia.,Penang Adventist Hospital, Penang, Malaysia
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9
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Goodwin GM, Haddad PM, Ferrier IN, Aronson JK, Barnes T, Cipriani A, Coghill DR, Fazel S, Geddes JR, Grunze H, Holmes EA, Howes O, Hudson S, Hunt N, Jones I, Macmillan IC, McAllister-Williams H, Miklowitz DR, Morriss R, Munafò M, Paton C, Saharkian BJ, Saunders K, Sinclair J, Taylor D, Vieta E, Young AH. Evidence-based guidelines for treating bipolar disorder: Revised third edition recommendations from the British Association for Psychopharmacology. J Psychopharmacol 2016; 30:495-553. [PMID: 26979387 PMCID: PMC4922419 DOI: 10.1177/0269881116636545] [Citation(s) in RCA: 500] [Impact Index Per Article: 55.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The British Association for Psychopharmacology guidelines specify the scope and targets of treatment for bipolar disorder. The third version is based explicitly on the available evidence and presented, like previous Clinical Practice Guidelines, as recommendations to aid clinical decision making for practitioners: it may also serve as a source of information for patients and carers, and assist audit. The recommendations are presented together with a more detailed review of the corresponding evidence. A consensus meeting, involving experts in bipolar disorder and its treatment, reviewed key areas and considered the strength of evidence and clinical implications. The guidelines were drawn up after extensive feedback from these participants. The best evidence from randomized controlled trials and, where available, observational studies employing quasi-experimental designs was used to evaluate treatment options. The strength of recommendations has been described using the GRADE approach. The guidelines cover the diagnosis of bipolar disorder, clinical management, and strategies for the use of medicines in short-term treatment of episodes, relapse prevention and stopping treatment. The use of medication is integrated with a coherent approach to psychoeducation and behaviour change.
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Affiliation(s)
- G M Goodwin
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - P M Haddad
- Greater Manchester West Mental Health NHS Foundation Trust, Eccles, Manchester, UK
| | - I N Ferrier
- Institute of Neuroscience, Newcastle University, UK and Northumberland Tyne and Wear NHS Foundation Trust, Newcastle, UK
| | - J K Aronson
- Centre for Evidence Based Medicine, Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Oxford, UK
| | - Trh Barnes
- The Centre for Mental Health, Imperial College London, Du Cane Road, London, UK
| | - A Cipriani
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - D R Coghill
- MACHS 2, Ninewells' Hospital and Medical School, Dundee, UK; now Departments of Paediatrics and Psychiatry, Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Melbourne, VIC, Australia
| | - S Fazel
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - J R Geddes
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - H Grunze
- Univ. Klinik f. Psychiatrie u. Psychotherapie, Christian Doppler Klinik, Universitätsklinik der Paracelsus Medizinischen Privatuniversität (PMU), Salzburg, Christian Doppler Klinik Salzburg, Austria
| | - E A Holmes
- MRC Cognition & Brain Sciences Unit, Cambridge, UK
| | - O Howes
- Institute of Psychiatry (Box 67), London, UK
| | | | - N Hunt
- Fulbourn Hospital, Cambridge, UK
| | - I Jones
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff, UK
| | - I C Macmillan
- Northumberland, Tyne and Wear NHS Foundation Trust, Queen Elizabeth Hospital, Gateshead, Tyne and Wear, UK
| | - H McAllister-Williams
- Institute of Neuroscience, Newcastle University, UK and Northumberland Tyne and Wear NHS Foundation Trust, Newcastle, UK
| | - D R Miklowitz
- UCLA Semel Institute for Neuroscience and Human Behavior, Division of Child and Adolescent Psychiatry, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - R Morriss
- Division of Psychiatry and Applied Psychology, Institute of Mental Health, University of Nottingham Innovation Park, Nottingham, UK
| | - M Munafò
- MRC Integrative Epidemiology Unit, UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, UK
| | - C Paton
- Oxleas NHS Foundation Trust, Dartford, UK
| | - B J Saharkian
- Department of Psychiatry (Box 189), University of Cambridge School of Clinical Medicine, Addenbrooke's Hospital, Cambridge, UK
| | - Kea Saunders
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - Jma Sinclair
- University Department of Psychiatry, Southampton, UK
| | - D Taylor
- South London and Maudsley NHS Foundation Trust, Pharmacy Department, Maudsley Hospital, London, UK
| | - E Vieta
- Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - A H Young
- Centre for Affective Disorders, King's College London, London, UK
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Logan RW, McClung CA. Animal models of bipolar mania: The past, present and future. Neuroscience 2016; 321:163-188. [PMID: 26314632 PMCID: PMC4766066 DOI: 10.1016/j.neuroscience.2015.08.041] [Citation(s) in RCA: 95] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2015] [Revised: 08/17/2015] [Accepted: 08/18/2015] [Indexed: 12/19/2022]
Abstract
Bipolar disorder (BD) is the sixth leading cause of disability in the world according to the World Health Organization and affects nearly six million (∼2.5% of the population) adults in the United State alone each year. BD is primarily characterized by mood cycling of depressive (e.g., helplessness, reduced energy and activity, and anhedonia) and manic (e.g., increased energy and hyperactivity, reduced need for sleep, impulsivity, reduced anxiety and depression), episodes. The following review describes several animal models of bipolar mania with a focus on more recent findings using genetically modified mice, including several with the potential of investigating the mechanisms underlying 'mood' cycling (or behavioral switching in rodents). We discuss whether each of these models satisfy criteria of validity (i.e., face, predictive, and construct), while highlighting their strengths and limitations. Animal models are helping to address critical questions related to pathophysiology of bipolar mania, in an effort to more clearly define necessary targets of first-line medications, lithium and valproic acid, and to discover novel mechanisms with the hope of developing more effective therapeutics. Future studies will leverage new technologies and strategies for integrating animal and human data to reveal important insights into the etiology, pathophysiology, and treatment of BD.
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Affiliation(s)
- R W Logan
- University of Pittsburgh School of Medicine, Department of Psychiatry, 450 Technology Drive, Suite 223, Pittsburgh, PA 15219, United States
| | - C A McClung
- University of Pittsburgh School of Medicine, Department of Psychiatry, 450 Technology Drive, Suite 223, Pittsburgh, PA 15219, United States.
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Fornaro M, De Berardis D, Koshy AS, Perna G, Valchera A, Vancampfort D, Stubbs B. Prevalence and clinical features associated with bipolar disorder polypharmacy: a systematic review. Neuropsychiatr Dis Treat 2016; 12:719-35. [PMID: 27099503 PMCID: PMC4820218 DOI: 10.2147/ndt.s100846] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Uncertainty exists regarding the prevalence and clinical features associated with the practice of polypharmacy in bipolar disorder (BD), warranting a systematic review on the matter. METHODS Three authors independently searched major electronic databases from inception till September 2015. Articles were included that reported either qualitative or quantitative data about the prevalence and clinical features associated with polypharmacy in adult cases of BD. RESULTS The operative definitions of polypharmacy adopted across varying studies varied, with concomitant use of two or more psychotropic medications or use of four or more psychotropic medications at once being the most common and the most reliable, respectively. Regardless of type or current mood episode polarity of BD, prevalence rates up to 85% and 36% were found using the most permissive (two or more medications at once) and the most conservative (four or more) operative definitions for polypharmacy, respectively. Point prevalence prescription rates of one or more antidepressant or antipsychotic as part of a polypharmacy regimen occurred in up to 45% or 80% of the cases, respectively, according to the most permissive definition of polypharmacy. In contrast, lithium prescription rates ranged from 13% to 33% in BD patients receiving polypharmacy according to conservative and permissive definitions, possibly suggesting a reduced need for augmentation of combination strategies for those cases of BD with a favorable lifetime lithium response and/or long-lasting treatment as well as less likelihood of lithium response over the time most severe cases possibly exposed to a more complex polypharmacy overall. LIMITATIONS "Apples and oranges" bias; publication bias for most recently introduced compounds. CONCLUSION Polypharmacy is common among people with BD across varying type and mood episode phases of illness. Special population, including BD patients at high risk of familial load for suicidal behavior, solicit further research as well as the plausible "protective" role of lithium toward polypharmacy in BD. The PROSPERO registration number is CRD42014015084.
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Affiliation(s)
- Michele Fornaro
- New York Psychiatric Institute, Columbia University, New York, NY, USA
| | - Domenico De Berardis
- National Health Service, Department of Mental Health, Psychiatric Service of Diagnosis and Treatment, Hospital "G. Mazzini", Teramo, Italy
| | - Ann Sarah Koshy
- St. John's National Academy of Health Sciences, Bangalore, India
| | - Giampaolo Perna
- Department of Clinical Neurosciences, Hermanas Hospitalarias - Villa San Benedetto Menni Hospital, FoRiPsi, Italy
| | - Alessandro Valchera
- Hermanas Hospitalarias, FoRiPsi Villa S. Giuseppe Hospital, Ascoli Piceno, Italy
| | - Davy Vancampfort
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, London, UK; Health Service and Population Research Department, Institute of Psychiatry, King's College London, London, UK
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