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Pahwa M, McElroy SL, Priesmeyer R, Siegel G, Siegel P, Nuss S, Bowden CL, El-Mallakh RS. KIOS: A smartphone app for self-monitoring for patients with bipolar disorder. Bipolar Disord 2024; 26:84-92. [PMID: 37340215 PMCID: PMC10730767 DOI: 10.1111/bdi.13362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/22/2023]
Abstract
OBJECTIVES This study examined the use of a self-monitoring/self-management smartphone application (app) for patients with bipolar disorder. The app was specifically designed with patient-centered computational software system based on concepts from nonlinear systems (chaos) theory. METHODS This was a randomized, active comparator study of use of the KIOS app compared to an existing free app that has high utilization rates known as eMoods, over 52 weeks, and performed in three academic centers. Patients were evaluated monthly utilizing the Bipolar Inventory of Symptoms Schedule (BISS). The primary outcome measure was the persistence of using the app over the year of the study. RESULTS Patients assigned to KIOS persisted in the study longer than those assigned to eMoods; 57 patients (87.70%) in the KIOS group versus 42 (73.69%) in the eMoods group completed the study (p = 0.03). By 52 weeks, significantly more of KIOS group (84.4%) versus eMoods group (54%) entered data into their programs (χ2 = 14.2, df = 1, p = 0.0002). Patient satisfaction for KIOS was greater (F = 5.21, df = 1, 108, p = 0.025) with a standardized effect size (Cohen's d) of 0.41. There was no difference in clinical outcome at the end of the study between the two groups. CONCLUSIONS This is the first randomized comparison study comparing two apps for the self-monitoring/self-management of bipolar disorder. The study revealed greater patient satisfaction and greater adherence to a patient-centered software program (KIOS) than a monitoring program that does not provide feedback (eMoods).
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Affiliation(s)
- Mehak Pahwa
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky
| | - Susan L. McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio
| | - Richard Priesmeyer
- Jurica Professor of Management, Department of Management and Marketing, St Mary’s University, San Antonio, Texas
| | - Gregg Siegel
- Biomedical Development Corporation, San Antonio, Texas
| | | | - Sharon Nuss
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky
| | - Charles L Bowden
- Deceased, previously Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - Rif S. El-Mallakh
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky
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Köhler-Forsberg O, Sylvia LG, Thase M, Calabrese JR, Tohen M, Bowden CL, McInnis M, Iosifescu DV, Kocsis JH, Friedman ES, Ketter TA, McElroy SL, Shelton RC, Fung V, Ostacher MJ, Nierenberg AA. Lithium plus antipsychotics or anticonvulsants for bipolar disorder: Comparing clinical response and metabolic changes. Aust N Z J Psychiatry 2023; 57:93-103. [PMID: 35164524 DOI: 10.1177/00048674221077619] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Patients with bipolar disorder treated with lithium often require additional antipsychotics or anticonvulsants. However, the comparative effectiveness and safety of these agents as add-on to lithium has not been studied. METHODS This secondary analysis combined two similar 24-week trials on outpatients with bipolar disorder randomized to lithium (target serum level 0.4-0.6 mEq/L). Guideline-based adjunctive antipsychotics (Li+AP) and anticonvulsants (Li+AC) could be used if clinically indicated and was assessed at every study visit. Response was measured on the Clinical Global Impression scale and we performed adjusted mixed effects linear regression analyses. Analysis of variance tests compared metabolic measures including a binary diagnosis of metabolic syndrome before and after 24 weeks of treatment. RESULTS Among 379 outpatients (57% female, mean age 38 years, mean Clinical Global Impression 4.4), users of Li+AP (N = 50, primarily quetiapine and aripiprazole) improved to a similar degree (mean Clinical Global Impression improvement = 1.6, standard deviation = 1.5) as those using lithium-only (i.e. without adjunctive antipsychotics or anticonvulsants, N = 149, mean Clinical Global Impression improvement = 1.7, standard deviation = 1.4) (p = 0.59). Users of Li+AC (N = 107, primarily lamotrigine and valproate, mean Clinical Global Impression improvement = 1.2, standard deviation = 1.3) and users of Li+AP+AC (N = 73, mean Clinical Global Impression improvement = 1.1, standard deviation = 1.3) showed worse response compared to lithium-only users (all p < 0.01). When comparing Li+AP to Li+AC, users of Li+AP improved slightly better on general (p = 0.05) and manic symptoms (p = 0.01), but showed a worse development of glucose, triglycerides, and metabolic syndrome. CONCLUSION Despite treatment-by-indication confounding, these findings are relevant for real-world treatment settings and emphasize the need for randomized trials on this clinically important topic.
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Affiliation(s)
- Ole Köhler-Forsberg
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Denmark
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Michael Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Dan V Iosifescu
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
| | - Susan L McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Psychiatry, Lindner Center of HOPE, Mason, OH, USA
| | - Richard C Shelton
- Department of Psychiatry, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Vicki Fung
- Department of Psychiatry, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Michael J Ostacher
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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3
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Wrobel AL, Köhler‐Forsberg O, Sylvia LG, Russell SE, Dean OM, Cotton SM, Thase M, Calabrese JR, Deckersbach T, Tohen M, Bowden CL, McInnis MG, Kocsis JH, Friedman ES, Ketter TA, Shelton RC, Ostacher MJ, Iosifescu DV, Berk M, Turner A, Nierenberg AA. Childhood trauma and treatment outcomes during mood-stabilising treatment with lithium or quetiapine among outpatients with bipolar disorder. Acta Psychiatr Scand 2022; 145:615-627. [PMID: 35243620 PMCID: PMC9310642 DOI: 10.1111/acps.13420] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 02/23/2022] [Accepted: 02/26/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Childhood trauma affects the course of mood disorders. Researchers are now considering childhood trauma as an influential factor in the treatment of mood disorders. However, the role of childhood trauma in the treatment of bipolar disorder remains understudied. METHODS The effect of childhood trauma on treatment outcomes was evaluated among participants randomised to treatment with lithium or quetiapine in the Clinical and Health Outcomes Initiatives in Comparative Effectiveness for Bipolar Disorder (Bipolar CHOICE) study by clinician assessment. Mixed effects linear regression models were used to analyse rates of improvement in symptom severity (assessed with the Bipolar Inventory of Symptoms Scale and the Clinical Global Impression Scale for Bipolar Disorder) and functional impairment (assessed with the Longitudinal Interval Follow-up Evaluation-Range of Impaired Functioning Tool). RESULTS A history of any childhood trauma was reported by 52.7% of the sample (N = 476). Although participants with a history of any childhood trauma presented with greater symptom severity and functional impairment at most study visits, participants with and without a history of any childhood trauma showed similar rates of improvement in symptom severity and functional impairment over the 24 weeks of treatment. CONCLUSION This is the first study to explore the association between childhood trauma and treatment outcomes during treatment with lithium or quetiapine in the context of a randomised trial. In Bipolar CHOICE, a history of childhood trauma did not inhibit improvement in symptom severity or functional impairment. Nevertheless, these findings need replication across different settings.
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Affiliation(s)
- Anna L. Wrobel
- IMPACT – The Institute for Mental and Physical Health and Clinical TranslationSchool of MedicineDeakin UniversityGeelongVictoriaAustralia,OrygenParkvilleVictoriaAustralia
| | - Ole Köhler‐Forsberg
- Psychosis Research UnitAarhus University Hospital PsychiatryAarhusDenmark,Department of Clinical MedicineAarhus UniversityAarhusDenmark,Department of PsychiatryMassachusetts General HospitalBostonMassachusettsUSA,Harvard Medical SchoolBostonMassachusettsUSA
| | - Louisa G. Sylvia
- Department of PsychiatryMassachusetts General HospitalBostonMassachusettsUSA,Harvard Medical SchoolBostonMassachusettsUSA
| | - Samantha E. Russell
- IMPACT – The Institute for Mental and Physical Health and Clinical TranslationSchool of MedicineDeakin UniversityGeelongVictoriaAustralia
| | - Olivia M. Dean
- IMPACT – The Institute for Mental and Physical Health and Clinical TranslationSchool of MedicineDeakin UniversityGeelongVictoriaAustralia,Florey Institute for Neuroscience and Mental HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - Sue M. Cotton
- OrygenParkvilleVictoriaAustralia,Centre for Youth Mental HealthThe University of MelbourneParkvilleVictoriaAustralia
| | - Michael Thase
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Thilo Deckersbach
- Diploma HochschuleUniversity of Applied SciencesBad Sooden‐AllendorfGermany
| | - Mauricio Tohen
- Department of PsychiatryUniversity of New Mexico Health Science CenterAlbuquerqueNew MexicoUSA
| | - Charles L. Bowden
- Department of PsychiatryUniversity of Texas Health Science CenterSan AntonioTexasUSA
| | | | - James H. Kocsis
- Department of PsychiatryWeill Cornell Medical CollegeNew YorkNew YorkUSA
| | - Edward S. Friedman
- Department of PsychiatryUniversity of Pittsburgh Medical CenterPittsburghPennsylvaniaUSA
| | - Terence A. Ketter
- Department of Psychiatry and Behavioral SciencesStanford University School of MedicineStanfordCaliforniaUSA
| | - Richard C. Shelton
- Department of PsychiatryUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Michael J. Ostacher
- Department of Psychiatry and Behavioral SciencesStanford University School of MedicineStanfordCaliforniaUSA,Department of PsychiatryVeterans Affairs Palo Alto Health Care SystemPalo AltoCaliforniaUSA
| | - Dan V. Iosifescu
- NYU School of Medicine and Nathan Kline InstituteNew YorkNew YorkUSA
| | - Michael Berk
- IMPACT – The Institute for Mental and Physical Health and Clinical TranslationSchool of MedicineDeakin UniversityGeelongVictoriaAustralia,OrygenParkvilleVictoriaAustralia,Florey Institute for Neuroscience and Mental HealthUniversity of MelbourneMelbourneVictoriaAustralia,Centre for Youth Mental HealthThe University of MelbourneParkvilleVictoriaAustralia,Department of PsychiatryRoyal Melbourne HospitalUniversity of MelbourneParkvilleVictoriaAustralia
| | - Alyna Turner
- IMPACT – The Institute for Mental and Physical Health and Clinical TranslationSchool of MedicineDeakin UniversityGeelongVictoriaAustralia,School of Medicine and Public HealthUniversity of NewcastleCallaghanNew South WalesAustralia
| | - Andrew A. Nierenberg
- Department of PsychiatryMassachusetts General HospitalBostonMassachusettsUSA,Harvard Medical SchoolBostonMassachusettsUSA
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4
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Kuperberg M, Köhler-Forsberg O, Shannon AP, George N, Greenebaum S, Bowden CL, Calabrese JR, Thase M, Shelton RC, McInnis M, Deckersbach T, Tohen M, Kocsis JH, Ketter TA, Friedman ES, Iosifescu DV, Ostacher MJ, Sylvia LG, McElroy SL, Nierenberg AA. Cardiometabolic risk markers during mood-stabilizing treatment: Correlation with drug-specific effects, depressive symptoms and treatment response. J Affect Disord 2022; 300:41-49. [PMID: 34952123 DOI: 10.1016/j.jad.2021.12.047] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 12/05/2021] [Accepted: 12/18/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND Patients with bipolar disorder have higher rates of cardiometabolic comorbidities and mortality. Although guidelines emphasize the importance of cardiovascular monitoring, few studies characterized the cardiometabolic risk profile during treatment and their relation to symptomatology and treatment response. METHODS We analyzed data from two similar 24-weeks comparative effectiveness trials, with a combined sample of 770 participants randomized to two different lithium doses, quetiapine (300 mg/day), or standard treatment without lithium. Glucose, lipids and vital signs were measured before and after 24 weeks of treatment. We calculated several cardiovascular risk scores, assessed baseline correlations and compared the four treatment arms via multiple linear regression models. RESULTS Higher cholesterol and LDL levels were associated with greater depression severity, showing differential correlations to specific symptoms, particularly agitation, low energy and suicidality. Those randomized to quetiapine showed a significant worsening of cardiometabolic markers during the 24-week trial. Neither baseline nor change in lipid levels correlated with differential treatment response. LIMITATIONS Study duration was short from the perspective of cardiometabolic risk markers, and all treatment arms included patients taking adjunct antipsychotics. The trials compared quetiapine to lithium, but not to other medications known to affect similar risk factors. CONCLUSIONS Treatment with 300 mg/day quetiapine for 24 weeks, representing a short and common dose course, resulted in increased cardiometabolic risk markers, emphasizing the importance of monitoring during mood-stabilizing treatment. The symptom-specific associations are in line with previous studies in unipolar depression, suggesting a cardiometabolic-depression link that needs to be further studied in bipolar depression.
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Affiliation(s)
- Maya Kuperberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Ole Köhler-Forsberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Alec P Shannon
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Nevita George
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Sophie Greenebaum
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - Michael Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Science Center, Albuquerque, NM, USA
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Dan V Iosifescu
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Michael J Ostacher
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Susan L McElroy
- Department of Psychiatry and Behavioral Neuroscience, OH and Lindner Center of HOPE, University of Cincinnati College of Medicine, Cincinnati, Mason, OH, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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5
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Köhler-Forsberg O, Sloth KH, Sylvia LG, Thase M, Calabrese JR, Tohen M, Bowden CL, McInnis M, Kocsis JH, Friedman ES, Ketter TA, McElroy SL, Shelton RC, Iosifescu DV, Ostacher MJ, Nierenberg AA. Response and remission rates during 24 weeks of mood-stabilizing treatment for bipolar depression depending on early non-response. Psychiatry Res 2021; 305:114194. [PMID: 34500184 DOI: 10.1016/j.psychres.2021.114194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 08/15/2021] [Accepted: 08/27/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND We aimed to study the probability of bipolar depression response at 24 weeks given initial non-response. METHODS We combined two multi-site, 24-week trials including similar populations following the same evidence-based guidelines randomizing patients to lithium or quetiapine. Additional mood-stabilizing treatment was possible if clinically indicated. We report cumulative proportions of response (>50% improvement in MADRS) and remission (MADRS<10). RESULTS We included 592 participants with bipolar depression (mean 39 years, 59% female, mean MADRS 25). Among 393 (66%) participants without response after 2 weeks, 46% responded by 24 weeks; for 291 (49%) without response at 4 weeks, 40% responded and 33% remitted by 24 weeks; for 222 (38%) without a response at 6 weeks, 36% responded and 29% remitted by 24 weeks; for 185 (31%) without a response at 8 weeks, 29% responded and 24% remitted by 24 weeks. Rates were similar for participants who had started an additional mood-stabilizing drug during the first 6 or 8 weeks. CONCLUSIONS Among patients with bipolar depression and non-response after 6 weeks treatment, representing an adequate bipolar depression trial, only one-third responded by 24 weeks. These results highlight the need for better treatment alternatives for non-responders to evidence-based treatments for bipolar depression.
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Affiliation(s)
- Ole Köhler-Forsberg
- Psychosis Research Unit & Department of Affective Disorders, Aarhus University Hospital Psychiatry, Denmark, Europe; Department of Clinical Medicine, Aarhus University, Denmark, Europe; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
| | - Kirstine H Sloth
- Psychosis Research Unit & Department of Affective Disorders, Aarhus University Hospital Psychiatry, Denmark, Europe; Department of Clinical Medicine, Aarhus University, Denmark, Europe
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Michael Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Palestine, United States
| | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, United States
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Science Center, Albuquerque, NM, United States
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, United States
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, United States
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Susan L McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH and Lindner Center of HOPE, Mason, OH, United States
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Dan V Iosifescu
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Michael J Ostacher
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
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6
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Antonietta Furio M, Popovic D, Vieta E, Stukalin Y, Hagin M, Torrent C, Azorin JM, Angst J, Bowden CL, Mosolov S, Young AH, Perugi G. Characterization of rapid cycling bipolar patients presenting with major depressive episode within the BRIDGE-II-MIX study. Bipolar Disord 2021; 23:391-399. [PMID: 32959482 DOI: 10.1111/bdi.12994] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVES The "Bipolar Disorders: Improving Diagnosis, Guidance, and Education" (BRIDGE-II-Mix) study aimed to estimate the frequency of mixed states in patients with a major depressive episode (MDE) according to different definitions and to compare their clinical validity, looking into specific features such as rapid cycling (RC). METHODS Psychiatric symptoms, socio-demographic, and clinical variables were collected from a sample of 2811 MDE patients, of which 726 (25.8%) were diagnosed with bipolar disorder (BD). The characteristics of bipolar patients with RC (BD-RC) and without (BD-NRC) RC were compared. RESULTS Of 726 BD patients, 159 (21.9%) met DSM-5 criteria for RC. BD-RC group presented a higher number of lifetime depressive episodes (p < 0.001) with shorter duration of depressive episodes, and more psychiatric comorbidities, as well as higher rates of atypical features (p = 0.016) and concomitant (hypo)manic symptoms (irritable mood (p = 0.001); risky behavior (p = 0.005); impulsivity (p = 0.006); and psychomotor agitation (p = 0.029)). Patients with RC had a worse functioning (p = 0.033), more obesity (p = 0.003), and were significantly more likely to be treated with three or more drugs (p = 0.007). CONCLUSIONS Important clinical differences between bipolar patients with and without a RC include more depressive morbidity, higher incidence of anxiety disorders, addiction, bulimia, and borderline personality disorder, as well as atypical features during depression and symptoms such as irritability, risky behavior, impulsivity, and agitation. RC patients had poorer functioning than patients without RC, more obesity, and had to be treated with more drugs.
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Affiliation(s)
- Maria Antonietta Furio
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Dina Popovic
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Abarbanel Mental Health Center, Bat Yam, Israel
| | - Eduard Vieta
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Yelena Stukalin
- School of Behavioral Sciences, Tel Aviv-Yaffo Academic College, Tel-Aviv, Israel
| | - Michal Hagin
- Sheba Medical Center, Tel Hashomer University Hospital, Ramat Gan, Israel
| | - Carla Torrent
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | | | - Jules Angst
- Psychiatrische Universitätsklinik, Zürich, Switzerland
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7
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Bowden CL, Priesmeyer R, Tohen M, Singh V, Calabrese JR, Ketter T, Nierenberg A, Thase ME, Siegel G, Siegel LH, Mintz J, El-Mallakh RS, McElroy SL, Martinez M. Development of a Patient-Centered Software System to Facilitate Effective Management of Bipolar Disorder. Psychopharmacol Bull 2021; 51:8-19. [PMID: 34092819 PMCID: PMC8146566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
OBJECTIVE Self-management of bipolar disorder (BD) is an important component of treatment. METHODS We developed a patient-centered computational software system based on concepts from nonlinear systems (chaos) theory with mobile access to assist in managing BD known as KIOS. KIOS tracks interacting symptoms to determine theprecise state of a BD patient. Once the patient's state is identified and the trajectory of the patient established, specific advice is generated to help manage the course of the disease. KIOS also provides analytics that can be used by clinicians and researchers to track outcomes and the course of illness. A 12-week field test was completed. RESULTS In 20 BD subjects, use of KIOS was associated with improvements in primary symptom categories of BD. Usability and generated advice were rated as a median of 6 out of a maximum of 7. CONCLUSIONS The KIOS focus on change illuminates problems in the same way that humans experience them, implying that the future state will be consequent to changes made to impact the current state. Randomized clinical trial is indicated.
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Affiliation(s)
- Charles L Bowden
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Richard Priesmeyer
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Mauricio Tohen
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Vivek Singh
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Joseph R Calabrese
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Terry Ketter
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Andrew Nierenberg
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Michael E Thase
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Gregg Siegel
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Leslie H Siegel
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Jim Mintz
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Rif S El-Mallakh
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Susan L McElroy
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
| | - Melissa Martinez
- Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas
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8
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Köhler-Forsberg O, Sylvia LG, Fung V, Overhage L, Thase M, Calabrese JR, Deckersbach T, Tohen M, Bowden CL, McInnis M, Kocsis JH, Friedman ES, Ketter TA, McElroy SL, Shelton RC, Ostacher MJ, Iosifescu DV, Nierenberg AA. Adjunctive antidepressant treatment among 763 outpatients with bipolar disorder: Findings from the Bipolar CHOICE and LiTMUS trials. Depress Anxiety 2021; 38:114-123. [PMID: 32598093 DOI: 10.1002/da.23069] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 02/12/2020] [Accepted: 06/03/2020] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Adjunctive antidepressants are frequently used for bipolar depression but their clinical efficacy has been studied in few trials and little is known about how co-occurring manic symptoms affect treatment response. METHODS Bipolar Clinical Health Outcomes Initiative in Comparative Effectiveness (N = 482) and Lithium Treatment Moderate-Dose Use Study (N = 281) were similar comparative effectiveness trials on outpatients with bipolar disorder comparing four different randomized treatment arms with adjunctive personalized guideline-based treatment for 24 weeks. Adjunctive antidepressant treatment could be used if clinically indicated and was assessed at every study visit. Adjusted mixed effects linear regression analyses compared users of antidepressants to nonusers overall and in different subcohorts. RESULTS Of the 763 patients, 282 (37.0%) used antidepressant drugs during the study. Antidepressant users had less improvement compared to nonusers on the Clinical Global Impression Scale for Bipolar Disorder and on measures of depression. This was particularly true among patients with co-occurring manic symptoms. Exclusion of individuals begun on antidepressants late in the study (potentially due to overall worse response) resulted in no differences between users and nonusers. We found no differences in treatment effects on mania scales. CONCLUSIONS In this large cohort of outpatients with bipolar disorder, clinically indicated and guideline-based adjunctive antidepressant treatment was not associated with lower depressive symptoms or higher mania symptoms. The treatment-by-indication confounding due to the nonrandomized design of the trials complicates causal interpretations, but no analyses indicated better treatment effects of adjunctive antidepressants.
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Affiliation(s)
- Ole Köhler-Forsberg
- Psychosis Research Unit and the Department of Affective Disorders, Aarhus University Psychiatry Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.,Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Louisa G Sylvia
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Vicki Fung
- Department of Medicine, Harvard Medical School, Boston, Massachusetts.,Health Policy Research Center, Mongan Institute, Massachusetts General Hospital, Boston, Massachusetts
| | - Lindsay Overhage
- Department of Medicine, Harvard Medical School, Boston, Massachusetts.,Health Policy Research Center, Mongan Institute, Massachusetts General Hospital, Boston, Massachusetts
| | - Michael Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, Ohio
| | - Thilo Deckersbach
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Sciences Center, Albuquerque, New Mexico
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, Texas
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, New York, New York
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Susan L McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, Ohio.,Department of Psychiatry, Lindner Center of HOPE, Mason, Ohio
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, Alabama
| | - Michael J Ostacher
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Dan V Iosifescu
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Andrew A Nierenberg
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
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9
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Fries GR, Zamzow MJ, Colpo GD, Monroy-Jaramillo N, Quevedo J, Arnold JG, Bowden CL, Walss-Bass C. The anti-aging effects of lithium in lymphoblastoid cell lines from patients with bipolar disorder and controls. J Psychiatr Res 2020; 128:38-42. [PMID: 32516629 PMCID: PMC7484018 DOI: 10.1016/j.jpsychires.2020.05.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 05/02/2020] [Accepted: 05/25/2020] [Indexed: 02/08/2023]
Abstract
Bipolar disorder (BD) has been previously associated with accelerated aging, and recent investigations have started to explore the potential anti-aging effects of BD treatments. Lithium, the most commonly used mood stabilizer, has been suggested to impact telomere length in specific populations, although its effects on other aging biomarkers, such as epigenetic aging, have never been investigated. We assessed the in vitro effects of lithium on telomere length and epigenetic aging in lymphoblastoid cell lines (LCLs) from 14 patients with BD and 14 controls, all matched for age, sex, and ethnicity. Our results showed that telomere length significantly correlated with chronological age in LCLs in both groups and that BD patients have shorter telomere lengths compared to controls at baseline (vehicle treatment), confirming previous in vivo findings. Moreover, lithium treatment significantly increased telomere length in LCLs from patients, but not in controls. On the other hand, epigenetic age did not correlate with chronological age and was not shown to differ between patients and controls. In addition, lithium did not induce any changes in epigenetic age in cells from either patients or controls. Overall, our results support previous reports of an anti-aging effect of lithium based on its modulation of telomere length and suggest a different lithium effect in cells from patients and controls. Finally, we also discuss the limitations of using transformed LCLs for the study of DNA methylation mechanisms.
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Affiliation(s)
- Gabriel R. Fries
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX.,Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston. 7000 Fannin St, 77030 Houston, TX.,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Madeline J. Zamzow
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX
| | - Gabriela D. Colpo
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX
| | - Nancy Monroy-Jaramillo
- Department of Genetics, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez. Insurgentes Sur 3877 Col. La Fama, Tlalpan, C. P. 14269, Mexico city, Mexico
| | - Joao Quevedo
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX.,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA.,Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil,Center of Excellence in Mood Disorders, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX
| | - Jodi G. Arnold
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Charles L. Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Consuelo Walss-Bass
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX.,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
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10
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Köhler-Forsberg O, Sylvia LG, Ruberto VL, Kuperberg M, Shannon AP, Fung V, Overhage L, Calabrese JR, Thase M, Bowden CL, Shelton RC, McInnis M, Deckersbach T, Tohen M, Kocsis JH, Ketter TA, Friedman ES, Iosifescu DV, McElroy S, Ostacher MJ, Nierenberg AA. Familial severe psychiatric history in bipolar disorder and correlation with disease severity and treatment response. J Affect Disord 2020; 273:131-137. [PMID: 32421593 DOI: 10.1016/j.jad.2020.03.157] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 02/16/2020] [Accepted: 03/29/2020] [Indexed: 01/05/2023]
Abstract
BACKGROUND Bipolar disorder is a heritable disorder, and we aimed to assess the impact of family history of mental disorders in first-degree relatives on the severity and course of bipolar disorder. METHODS The Bipolar CHOICE (lithium versus quetiapine) and LiTMUS (optimized treatment with versus without lithium) comparative effectiveness studies were similar trials among bipolar disorder outpatients studying four different randomized treatment arms for 24 weeks. Patients self-reported on six severe mental disorders among first-degree relatives. We performed ANOVA and linear regression regarding disease severity measures, sociodemographic and cardiometabolic markers and mixed effects linear regression to evaluate treatment response. RESULTS Among 757 patients, 644 (85.1%) reported at least one first-degree relative with a severe mental disorder (mean=2.8; standard deviation=2.2; range=0-13). Depression (67.1%), alcohol abuse (51.0%) and bipolar disorder (47.0%) were the most frequently reported disorders. Familial psychiatric history correlated with several disease severity measures (hospitalizations, suicide attempts, and earlier onset) and sociodemographic markers (lower education and household income) but not with cardiometabolic markers (e.g. cholesterol or waist circumference) or cardiovascular risk scores, e.g. the Framingham risk score. Patients with familial psychiatric history tended to require more psychopharmacological treatment (p=0.054) but responded similarly (all p>0.1) to all four treatment arms. CONCLUSIONS Our findings indicate that familial psychiatric history is common among outpatients with bipolar disorder and correlates with disease severity and sociodemographic measures. Patients with a greater familial psychiatric load required more intense treatment but achieved similar treatment responses compared to patients without familial psychiatric history.
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Affiliation(s)
- Ole Köhler-Forsberg
- Psychosis Research Unit, Aarhus University Hospital Psychiatry, Denmark; Department of Clinical Medicin, Aarhus University, Aarhus, Denmark; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Valerie L Ruberto
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Maya Kuperberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Alec P Shannon
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Vicki Fung
- Mongan Institute, Massachusetts General Hospital; Department of Medicine, Harvard Medical School
| | | | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - Michael Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Science Center, Albuquerque, NM, USA
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Dan V Iosifescu
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Susan McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH and Lindner Center of HOPE, Mason, OH, USA
| | - Michael J Ostacher
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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11
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Corponi F, Anmella G, Pacchiarotti I, Samalin L, Verdolini N, Popovic D, Azorin JM, Angst J, Bowden CL, Mosolov S, Young AH, Perugi G, Vieta E, Murru A. Deconstructing major depressive episodes across unipolar and bipolar depression by severity and duration: a cross-diagnostic cluster analysis on a large, international, observational study. Transl Psychiatry 2020; 10:241. [PMID: 32684621 PMCID: PMC7370235 DOI: 10.1038/s41398-020-00922-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 06/07/2020] [Accepted: 06/09/2020] [Indexed: 11/18/2022] Open
Abstract
A cross-diagnostic, post-hoc analysis of the BRIDGE-II-MIX study was performed to investigate how unipolar and bipolar patients suffering from an acute major depressive episode (MDE) cluster according to severity and duration. Duration of index episode, Clinical Global Impression-Bipolar Version-Depression (CGI-BP-D) and Global Assessment of Functioning (GAF) were used as clustering variables. MANOVA and post-hoc ANOVAs examined between-group differences in clustering variables. A stepwise backward regression model explored the relationship with the 56 clinical-demographic variables available. Agglomerative hierarchical clustering with two clusters was shown as the best fit and separated the study population (n = 2314) into 65.73% (Cluster 1 (C1)) and 34.26% (Cluster 2 (C2)). MANOVA showed a significant main effect for cluster group (p < 0.001) but ANOVA revealed that significant between-group differences were restricted to CGI-BP-D (p < 0.001) and GAF (p < 0.001), showing greater severity in C2. Psychotic features and a minimum of three DSM-5 criteria for mixed features (DSM-5-3C) had the strongest association with C2, that with greater disease burden, while non-mixed depression in bipolar disorder (BD) type II had negative association. Mixed affect defined as DSM-5-3C associates with greater acute severity and overall impairment, independently of the diagnosis of bipolar or unipolar depression. In this study a pure, non-mixed depression in BD type II significantly associates with lesser burden of clinical and functional severity. The lack of association for less restrictive, researched-based definitions of mixed features underlines DSM-5-3C specificity. If confirmed in further prospective studies, these findings would warrant major revisions of treatment algorithms for both unipolar and bipolar depression.
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Affiliation(s)
- Filippo Corponi
- grid.6292.f0000 0004 1757 1758Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy ,Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia Spain
| | - Gerard Anmella
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia Spain
| | - Isabella Pacchiarotti
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia Spain ,Biomedical Research Networking Center for Mental Health (CIBERSAM), Barcelona, Spain ,grid.10403.36August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Ludovic Samalin
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia Spain
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia Spain ,Biomedical Research Networking Center for Mental Health (CIBERSAM), Barcelona, Spain ,grid.10403.36August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Dina Popovic
- grid.413795.d0000 0001 2107 2845Psychiatry B, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Jean-Michel Azorin
- grid.414438.e0000 0000 9834 707XDepartment of Psychiatry, Sainte Marguerite Hospital, Marseille, France
| | - Jules Angst
- grid.7400.30000 0004 1937 0650Department of Psychiatry, University of Zurich, Zurich, Switzerland
| | - Charles L. Bowden
- grid.267309.90000 0001 0629 5880Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX USA
| | - Sergey Mosolov
- grid.473242.4Department for Therapy of Mental Disorders, Moscow Research Institute of Psychiatry, Moscow, Russia
| | - Allan H. Young
- grid.13097.3c0000 0001 2322 6764Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, Centre for Affective Disorders, London, UK
| | - Giulio Perugi
- grid.5395.a0000 0004 1757 3729Clinica Psichiatrica, University of Pisa, Pisa, Italy
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain. .,Biomedical Research Networking Center for Mental Health (CIBERSAM), Barcelona, Spain. .,August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
| | - Andrea Murru
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia Spain ,Biomedical Research Networking Center for Mental Health (CIBERSAM), Barcelona, Spain ,grid.10403.36August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
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12
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Corponi F, Anmella G, Verdolini N, Pacchiarotti I, Samalin L, Popovic D, Azorin JM, Angst J, Bowden CL, Mosolov S, Young AH, Perugi G, Vieta E, Murru A. Symptom networks in acute depression across bipolar and major depressive disorders: A network analysis on a large, international, observational study. Eur Neuropsychopharmacol 2020; 35:49-60. [PMID: 32409261 DOI: 10.1016/j.euroneuro.2020.03.017] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 03/23/2020] [Accepted: 03/27/2020] [Indexed: 12/24/2022]
Abstract
Major Depressive Episode (MDE) is a transdiagnostic nosographic construct straddling Major Depressive (MDD) and Bipolar Disorder (BD). Prognostic and treatment implications warrant a differentiation between these two disorders. Network analysis is a novel approach that outlines symptoms interactions in psychopathological networks. We investigated the interplay among depressive and mixed symptoms in acutely depressed MDD/BD patients, using a data-driven approach. We analyzed 7 DSM-IV-TR criteria for MDE and 14 researched-based criteria for mixed features (RBDC) in 2758 acutely depressed MDD/BD patients from the BRIDGE-II-Mix study. The global network was described in terms of symptom thresholds and symptom centrality. Symptom endorsement rates were compared across diagnostic subgroups. Subsequently, MDD/BD differences in symptom-network structure were examined using permutation-based network comparison test. Mixed symptoms were the most central and highly interconnected nodes in the network, particularly agitation followed by irritability. Despite mixed symptoms, appetite gain and hypersomnia were significantly more endorsed in BD patients, associations between symptoms were highly correlated across MDD/BD (Spearman's r = 0.96, p<0.001). Network comparison tests showed no significant differences among MDD/BD in network strength, structure, or specific edges, with strong edges correlations (0.66-0.78). Upstream differences in MDD/BD may produce similar symptoms networks downstream during acute depression. Yet, mixed symptoms, appetite gain and hypersomnia are associated to BD rather than MDD. Symptoms during mixed-MDE might aggregate according to 2 different clusters, suggesting a possible stratification within mixed states. Future symptom-based studies should implement clinical, longitudinal, and biological factors, in order to establish tailored therapeutic strategies for acute depression.
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Affiliation(s)
- Filippo Corponi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036 Barcelona, Catalonia, Spain
| | - Gerard Anmella
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036 Barcelona, Catalonia, Spain
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036 Barcelona, Catalonia, Spain
| | - Isabella Pacchiarotti
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036 Barcelona, Catalonia, Spain
| | - Ludovic Samalin
- CHU Clermont-Ferrand, Department of Psychiatry, EA 7280, University of Clermont Auvergne, 58, Rue Montalembert, 63000 Clermont-Ferrand, France
| | - Dina Popovic
- Psychiatry B, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | | | - Jules Angst
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Sergey Mosolov
- Department for Therapy of Mental Disorders, Moscow Research Institute of Psychiatry, Moscow, Russian Federation
| | - Allan H Young
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Giulio Perugi
- Department of Experimental and Clinical Medicine, Section of Psychiatry, University of Pisa, Via Roma 67, 56100 Pisa, Italy
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036 Barcelona, Catalonia, Spain.
| | - Andrea Murru
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036 Barcelona, Catalonia, Spain
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13
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Gao K, Arnold JG, Prihoda TJ, Quinones M, Singh V, Schinagle M, Conroy C, D'Arcangelo N, Bai Y, Calabrese JR, Bowden CL. Sequential Multiple Assignment Randomized Treatment (SMART) for Bipolar Disorder at Any Phase of Illness and at least Mild Symptom Severity. Psychopharmacol Bull 2020; 50:8-25. [PMID: 32508363 PMCID: PMC7255841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
OBJECTIVES To sequentially study the effectiveness of lithium and divalproex monotherapy and adjunctive therapy with quetiapine or lamotrigine in the acute and continuation treatment of bipolar I or II disorder at any phase of illness and at least mild symptom severity. METHODS From June 2011 to December 2016, patients with bipolar I or II disorder (using DSM-IV diagnostic criteria) and CGI-S (Clinical Global Impression-Severity) ⩾ 3 were randomized to receive lithium or divalproex monotherapy for 2 weeks. Patients who had CGI-S-depression ⩾ 3 for 2 weeks at any time after 2-week monotherapy were randomly assigned to receive quetiapine or lamotrigine, or remaining on monotherapy for a total of 26 weeks. RESULTS The rates of early termination due to lack of efficacy and side effects and changes in BISS (Bipolar Inventory of Symptoms Scale) and CGI-S total score were not significantly different between lithium and divalproex. The completion rate was significantly higher with adjunctive therapy than with monotherapy. BISS and CGI-S total scores, and their sub-scores were significantly reduced with adjunctive therapy compared to monotherapy. Adjunctive therapy significantly increased survival times compared to monotherapy (hazard ratio = 6.8), and the monotherapy group had a significantly increased risk for not reaching sustained recovery from depression (hazard ratio = 12.7). Patients who did not need the 2nd randomization and remained on monotherapy had a significantly reduced hazard for discontinuation (hazard ratio = 3.8). CONCLUSIONS The efficacy of lithium and divalproex as monotherapy was modest. Adjunctive lamotrigine and quetiapine to either one was well-tolerated and equally effective in reducing bipolar symptomatology, but adjunctive therapy should be initiated as early as possible when depression symptoms are present.
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Affiliation(s)
- Keming Gao
- Gao, MD, PhD, Schinagle, MD, Calabrese, MD, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Case Western Reserve University School of Medicine, Cleveland, Ohio. Arnold, PhD, Bowden, MD, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Prihoda, PhD, Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Quinones, MD, IKARE Mood, Trauma, and Recovery Clinic, San Antonio, Texas. Singh, MD, Department of Psychiatry, Texas Tech University Health Sciences Center at El Paso, El Paso, Texas. Conroy, MPH, D'Arcangelo, MSW, Case Western Reserve University School of Medicine. Cleveland, Ohio. Bai, MD, MS, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Shenzhen Kangning Hospital, Shenzhen, Guandong Province, China
| | - Jodi G Arnold
- Gao, MD, PhD, Schinagle, MD, Calabrese, MD, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Case Western Reserve University School of Medicine, Cleveland, Ohio. Arnold, PhD, Bowden, MD, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Prihoda, PhD, Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Quinones, MD, IKARE Mood, Trauma, and Recovery Clinic, San Antonio, Texas. Singh, MD, Department of Psychiatry, Texas Tech University Health Sciences Center at El Paso, El Paso, Texas. Conroy, MPH, D'Arcangelo, MSW, Case Western Reserve University School of Medicine. Cleveland, Ohio. Bai, MD, MS, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Shenzhen Kangning Hospital, Shenzhen, Guandong Province, China
| | - Thomas J Prihoda
- Gao, MD, PhD, Schinagle, MD, Calabrese, MD, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Case Western Reserve University School of Medicine, Cleveland, Ohio. Arnold, PhD, Bowden, MD, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Prihoda, PhD, Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Quinones, MD, IKARE Mood, Trauma, and Recovery Clinic, San Antonio, Texas. Singh, MD, Department of Psychiatry, Texas Tech University Health Sciences Center at El Paso, El Paso, Texas. Conroy, MPH, D'Arcangelo, MSW, Case Western Reserve University School of Medicine. Cleveland, Ohio. Bai, MD, MS, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Shenzhen Kangning Hospital, Shenzhen, Guandong Province, China
| | - Marlon Quinones
- Gao, MD, PhD, Schinagle, MD, Calabrese, MD, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Case Western Reserve University School of Medicine, Cleveland, Ohio. Arnold, PhD, Bowden, MD, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Prihoda, PhD, Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Quinones, MD, IKARE Mood, Trauma, and Recovery Clinic, San Antonio, Texas. Singh, MD, Department of Psychiatry, Texas Tech University Health Sciences Center at El Paso, El Paso, Texas. Conroy, MPH, D'Arcangelo, MSW, Case Western Reserve University School of Medicine. Cleveland, Ohio. Bai, MD, MS, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Shenzhen Kangning Hospital, Shenzhen, Guandong Province, China
| | - Vivek Singh
- Gao, MD, PhD, Schinagle, MD, Calabrese, MD, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Case Western Reserve University School of Medicine, Cleveland, Ohio. Arnold, PhD, Bowden, MD, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Prihoda, PhD, Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Quinones, MD, IKARE Mood, Trauma, and Recovery Clinic, San Antonio, Texas. Singh, MD, Department of Psychiatry, Texas Tech University Health Sciences Center at El Paso, El Paso, Texas. Conroy, MPH, D'Arcangelo, MSW, Case Western Reserve University School of Medicine. Cleveland, Ohio. Bai, MD, MS, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Shenzhen Kangning Hospital, Shenzhen, Guandong Province, China
| | - Martha Schinagle
- Gao, MD, PhD, Schinagle, MD, Calabrese, MD, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Case Western Reserve University School of Medicine, Cleveland, Ohio. Arnold, PhD, Bowden, MD, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Prihoda, PhD, Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Quinones, MD, IKARE Mood, Trauma, and Recovery Clinic, San Antonio, Texas. Singh, MD, Department of Psychiatry, Texas Tech University Health Sciences Center at El Paso, El Paso, Texas. Conroy, MPH, D'Arcangelo, MSW, Case Western Reserve University School of Medicine. Cleveland, Ohio. Bai, MD, MS, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Shenzhen Kangning Hospital, Shenzhen, Guandong Province, China
| | - Carla Conroy
- Gao, MD, PhD, Schinagle, MD, Calabrese, MD, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Case Western Reserve University School of Medicine, Cleveland, Ohio. Arnold, PhD, Bowden, MD, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Prihoda, PhD, Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Quinones, MD, IKARE Mood, Trauma, and Recovery Clinic, San Antonio, Texas. Singh, MD, Department of Psychiatry, Texas Tech University Health Sciences Center at El Paso, El Paso, Texas. Conroy, MPH, D'Arcangelo, MSW, Case Western Reserve University School of Medicine. Cleveland, Ohio. Bai, MD, MS, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Shenzhen Kangning Hospital, Shenzhen, Guandong Province, China
| | - Nicole D'Arcangelo
- Gao, MD, PhD, Schinagle, MD, Calabrese, MD, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Case Western Reserve University School of Medicine, Cleveland, Ohio. Arnold, PhD, Bowden, MD, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Prihoda, PhD, Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Quinones, MD, IKARE Mood, Trauma, and Recovery Clinic, San Antonio, Texas. Singh, MD, Department of Psychiatry, Texas Tech University Health Sciences Center at El Paso, El Paso, Texas. Conroy, MPH, D'Arcangelo, MSW, Case Western Reserve University School of Medicine. Cleveland, Ohio. Bai, MD, MS, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Shenzhen Kangning Hospital, Shenzhen, Guandong Province, China
| | - Yuanhan Bai
- Gao, MD, PhD, Schinagle, MD, Calabrese, MD, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Case Western Reserve University School of Medicine, Cleveland, Ohio. Arnold, PhD, Bowden, MD, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Prihoda, PhD, Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Quinones, MD, IKARE Mood, Trauma, and Recovery Clinic, San Antonio, Texas. Singh, MD, Department of Psychiatry, Texas Tech University Health Sciences Center at El Paso, El Paso, Texas. Conroy, MPH, D'Arcangelo, MSW, Case Western Reserve University School of Medicine. Cleveland, Ohio. Bai, MD, MS, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Shenzhen Kangning Hospital, Shenzhen, Guandong Province, China
| | - Joseph R Calabrese
- Gao, MD, PhD, Schinagle, MD, Calabrese, MD, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Case Western Reserve University School of Medicine, Cleveland, Ohio. Arnold, PhD, Bowden, MD, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Prihoda, PhD, Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Quinones, MD, IKARE Mood, Trauma, and Recovery Clinic, San Antonio, Texas. Singh, MD, Department of Psychiatry, Texas Tech University Health Sciences Center at El Paso, El Paso, Texas. Conroy, MPH, D'Arcangelo, MSW, Case Western Reserve University School of Medicine. Cleveland, Ohio. Bai, MD, MS, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Shenzhen Kangning Hospital, Shenzhen, Guandong Province, China
| | - Charles L Bowden
- Gao, MD, PhD, Schinagle, MD, Calabrese, MD, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Case Western Reserve University School of Medicine, Cleveland, Ohio. Arnold, PhD, Bowden, MD, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Prihoda, PhD, Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Quinones, MD, IKARE Mood, Trauma, and Recovery Clinic, San Antonio, Texas. Singh, MD, Department of Psychiatry, Texas Tech University Health Sciences Center at El Paso, El Paso, Texas. Conroy, MPH, D'Arcangelo, MSW, Case Western Reserve University School of Medicine. Cleveland, Ohio. Bai, MD, MS, Mood and Anxiety Clinic in the Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, and Shenzhen Kangning Hospital, Shenzhen, Guandong Province, China
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Yaramala SR, McElroy SL, Geske J, Winham S, Gao K, Reilly-Harrington NA, Ketter TA, Deckersbach T, Kinrys G, Kamali M, Sylvia LG, McInnis MG, Friedman ES, Thase ME, Kocsis JH, Tohen M, Calabrese JR, Bowden CL, Shelton RC, Nierenberg AA, Bobo WV. The impact of binge eating behavior on lithium- and quetiapine-associated changes in body weight, body mass index, and waist circumference during 6 months of treatment: Findings from the bipolar CHOICE study. J Affect Disord 2020; 266:772-781. [PMID: 30241956 DOI: 10.1016/j.jad.2018.09.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 08/12/2018] [Accepted: 09/11/2018] [Indexed: 01/29/2023]
Abstract
BACKGROUND Lithium and quetiapine can cause weight gain, but their comparative longer term anthropometric effects are unknown, as are the potential moderating effects of baseline binge-eating (BE) behavior. METHODS We assessed 6 month changes in body weight, body mass index (BMI) and waist circumference in 482 adults with DSM-IV bipolar disorders who participated in a comparative effectiveness study of lithium and quetiapine with evidence-based adjunctive treatment (Bipolar CHOICE). Anthropometric measurements were obtained at baseline, and at 2, 4, 6, 8, 12, 16, 20, and 24 weeks. BE behavior was defined as affirmative responses to MINI items M1 and M3 at baseline. Data were analyzed using a mixed model repeated measures approach, adjusted for baseline values of dependent measures. RESULTS On average, body weight and BMI increased over 6 months with lithium and quetiapine. However, those treated with quetiapine experienced greater increases from baseline in body weight (peak change, + 3.6 lbs. vs. + 1.4 lbs.) and BMI (peak change, + 0.6 kg/m2 vs. + 0.3 kg/m2), starting at 2 weeks (group x time, F8,3052 = 2.9, p = 0.003 for body weight, F8,3052 = 3.0, p = 0.002 for BMI). Significant increases in waist circumference were observed only with quetiapine. The relationship between drug treatment and changes in body weight (group x time x binge eating status, F1,2770 = 2.0, p = 0.002), BMI (F1,2767 = 2.0, p = 0.002), and waist circumference (women only, F25,1621 = 2.9, p < 0.0001) were moderated by BE behavior. The largest increases over 24 weeks in body weight and BMI, and waist circumference in women, occurred for quetiapine-treated patients with baseline binge-eating, relative to quetiapine-treated patients without binge eating and lithium-treated patients with or without baseline binge-eating. LIMITATIONS Bipolar CHOICE was not designed to study anthropometric outcomes. CONCLUSIONS Greater changes in body weight, BMI, and waist circumference occurred with quetiapine- versus lithium-based treatment over 6 months of treatment. The effects of study drugs on these anthropometric measures were moderated by BE behavior at baseline.
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Affiliation(s)
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA; Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jennifer Geske
- Department of Biomedical Statistics & Informatics, Mayo Clinic, Rochester, MN USA
| | - Stacey Winham
- Department of Biomedical Statistics & Informatics, Mayo Clinic, Rochester, MN USA
| | - Keming Gao
- Bipolar Disorders Research Center, University Hospital's Case Medical Center, Case Western Reserve University, Cleveland, OH USA
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA,USA; Harvard Medical School, Boston, MA, USA
| | - Terence A Ketter
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA,USA; Harvard Medical School, Boston, MA, USA
| | - Gustavo Kinrys
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA,USA; Harvard Medical School, Boston, MA, USA
| | - Masoud Kamali
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA,USA; Harvard Medical School, Boston, MA, USA
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA,USA; Harvard Medical School, Boston, MA, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | | | - Machael E Thase
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, Ithaca, NY, USA
| | - Mauricio Tohen
- Department of Psychiatry & Behavioral Sciences, University of New Mexico, Health Sciences Center, Albuquerque, NM, USA
| | - Joseph R Calabrese
- Bipolar Disorders Research Center, University Hospital's Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX
| | - Richard C Shelton
- Department of Psychiatry and Behavioral Neurobiology, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA,USA; Harvard Medical School, Boston, MA, USA
| | - William V Bobo
- Department of Psychiatry & Psychology, Mayo Clinic, Jacksonville, FL USA.
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15
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Kamali M, Reilly-Harrington NA, Chang WC, McInnis M, McElroy SL, Ketter TA, Shelton RC, Deckersbach T, Tohen M, Kocsis JH, Calabrese JR, Gao K, Thase ME, Bowden CL, Kinrys G, Bobo WV, Brody BD, Sylvia LG, Rabideau DJ, Nierenberg AA. Bipolar depression and suicidal ideation: Moderators and mediators of a complex relationship. J Affect Disord 2019; 259:164-172. [PMID: 31445343 DOI: 10.1016/j.jad.2019.08.032] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2018] [Revised: 07/27/2019] [Accepted: 08/17/2019] [Indexed: 02/01/2023]
Abstract
INTRODUCTION Not all patients with bipolar depression have suicidal ideation (SI). This study examines some factors that link bipolar depression to SI. METHODS 482 individuals with bipolar I or II were randomized to either lithium or quetiapine plus adjunctive personalized therapy in a 24 week comparative effectiveness trial. Severity of depression and SI were assessed with the Bipolar Inventory of Symptoms Scale (BISS). We examined potential moderators (age, gender, age of illness onset, bipolar type, comorbid anxiety, substance use, past suicide attempts, childhood abuse and treatment arm) and mediators (severity of anxiety, mania, irritability, impairment in functioning (LIFE-RIFT) and satisfaction and enjoyment of life (Q-LES-Q)) of the effect of depression on SI. Statistical analyses were conducted using generalized estimating equations with repeated measures. RESULTS Bipolar type and past suicide attempts moderated the effect of depression on SI. Life satisfaction mediated the effect of depression and SI. The relationship between anxiety, depression and SI was complex due to the high level of correlation. Treatment with lithium or quetiapine did not moderate the effect of depression on SI. LIMITATIONS Suicide assessment was only done using an item on BISS. Patient population was not specifically chosen for high suicide risk. DISCUSSION Individuals with Bipolar II experienced more SI with lower levels of depression severity. A history of suicide predisposed patients to higher levels of SI given the same severity of depression. Reduced life satisfaction mediates the effect of depression on SI and may be a target for therapeutic interventions.
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Affiliation(s)
- Masoud Kamali
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Weilynn C Chang
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Susan L McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati OH and Lindner Center of HOPE, Mason, OH, United States
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Science Center, Albuquerque, NM, United States
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, United States
| | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, United States
| | - Keming Gao
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, United States
| | - Michael E Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, United States
| | - Gustavo Kinrys
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - William V Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Benjamin D Brody
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, United States
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Dustin J Rabideau
- Department of Biostatistics, Massachusetts General Hospital, Boston, MA, United States
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
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16
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Barbuti M, Mainardi C, Pacchiarotti I, Verdolini N, Maccariello G, Angst J, Azorin JM, Bowden CL, Mosolov S, Young AH, Vieta E, Perugi G. The role of different patterns of psychomotor symptoms in major depressive episode: Pooled analysis of the BRIDGE and BRIDGE-II-MIX cohorts. Bipolar Disord 2019; 21:785-793. [PMID: 31400256 DOI: 10.1111/bdi.12816] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND Psychomotor agitation (PA) or retardation (PR) during major depressive episodes (MDEs) have been associated with depression severity in terms of treatment-resistance and course of illness. OBJECTIVES We investigated the possible association of psychomotor symptoms (PMSs) during a MDE with clinical features belonging to the bipolar spectrum. METHODS The initial sample of 7689 MDE patients was divided into three subgroups based on the presence of PR, PA and non-psychomotor symptom (NPS). Univariate comparisons and multivariate logistic regression models were performed between subgroups. RESULTS A total of 3720 patients presented PR (48%), 1971 showed PA (26%) and 1998 had NPS (26%). In the PR and PA subgroups, the clinical characteristics related to bipolarity, along with the diagnosis of bipolar disorder (BD), were significantly more frequent than in the NPS subgroup. When comparing PA and PR patients, the former presented higher rates of bipolar spectrum features, such as family history of BD (OR = 1.39, CI = 1.20-1.61), manic/hypomanic switches with antidepressants (OR = 1.28, CI = 1.11-1.48), early onset of first MDE (OR = 1.40, CI = 1.26-1.57), atypical (OR = 1.23, CI = 1.07-1.42) and psychotic features (OR = 2.08, CI = 1.78-2.44), treatment with mood-stabilizers (OR = 1.39, CI = 1.24-1.55), as well as a BD diagnosis according to both the DSM-IV criteria and the bipolar specifier criteria. When logistic regression model was performed, the clinical features that significantly differentiated PA from PR were early onset of first MDE, atypical and psychotic features, treatment with mood-stabilizers and a BD diagnosis according to the bipolar specifier criteria. CONCLUSIONS Psychomotor symptoms could be considered as markers of bipolarity, illness severity, and treatment complexity, particularly if PA is present.
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Affiliation(s)
- Margherita Barbuti
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Cecilia Mainardi
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy.,Bipolar Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Isabella Pacchiarotti
- Bipolar Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Norma Verdolini
- Bipolar Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Division of Psychiatry, Clinical Psychology and Rehabilitation, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy.,FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Catalonia, Spain.,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain
| | - Giuseppe Maccariello
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Jules Angst
- Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | | | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Sergey Mosolov
- Department for Therapy of Mental Disorders, Moscow Research Institute of Psychiatry, Moscow, Russia
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London & South London and Maudsley NHS Foundation Trust, London, UK
| | - Eduard Vieta
- Bipolar Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Giulio Perugi
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
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17
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Barbuti M, Mazzarini L, Vieta E, Azorin JM, Angst J, Bowden CL, Mosolov S, Young AH, Perugi G. Relationships between recurrence and polarity in major depressive disorders: Pooled analysis of the BRIDGE and BRIDGE-II-MIX cohorts. J Affect Disord 2019; 256:250-258. [PMID: 31195243 DOI: 10.1016/j.jad.2019.06.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 04/11/2019] [Accepted: 06/02/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND current classifications of mood disorders focus on polarity rather than recurrence, separating bipolar disorder from major depressive disorder (MDD). The aim of the present study is to explore the possible relationships between number and frequency of depressive episodes and clinical variables associated to bipolarity, in a large sample of MDD patients. METHODS the clinical characteristics of 7055 patients with MDD were analyzed and compared according to the number and frequency of depressive episodes. Two stepwise backward logistic regression model were used to identify the predictive value of clinical features based on the presence of high number (≥3 episodes) and high frequency (≥3 episodes/year) of depressive episodes. RESULTS high-recurrence and high-frequency MDD patients showed greater family history for bipolar disorder, higher prevalence of psychotic features, more suicide attempts, higher rates of treatment resistance and mood switches with antidepressants (ADs) and higher rates of bipolarity diagnosis according to Angst criteria, compared to low-recurrence and low-frequency patients. Logistic regressions showed that a brief current depressive episode, a previous history of treatment resistance and AD-induced mood switches, a diagnosis of bipolarity and comorbid borderline personality disorder were the variables associated with both high-recurrence and high-frequency depression. LIMITATIONS the study participating centers were not randomly selected and several variables were retrospectively assessed. CONCLUSIONS even in the absence of hypomanic/manic episodes, high-recurrence and high-frequency MDD seem to be in continuity with the bipolar spectrum disorders in terms of clinical features and, perhaps, treatment response.
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Affiliation(s)
- Margherita Barbuti
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Via Savi 10, 56126, Pisa, Italy
| | - Lorenzo Mazzarini
- NESMOS Department, School of Medicine and Psychology, Sapienza University, Rome, Italy; Salvator Mundi International Hospital, Rome, Italy
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | | | - Jules Angst
- Department of Psychiatry, Psychotherapy, and Psychosomatic, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Sergey Mosolov
- Department for Therapy of Mental Disorders, Moscow Research Institute of Psychiatry, Moscow, Russia
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Giulio Perugi
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Via Savi 10, 56126, Pisa, Italy.
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18
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Brancati GE, Vieta E, Azorin JM, Angst J, Bowden CL, Mosolov S, Young AH, Perugi G. The role of overlapping excitatory symptoms in major depression: are they relevant for the diagnosis of mixed state? J Psychiatr Res 2019; 115:151-157. [PMID: 31132693 DOI: 10.1016/j.jpsychires.2019.05.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 05/11/2019] [Accepted: 05/13/2019] [Indexed: 11/18/2022]
Abstract
BACKGROUND DSM-5 and ICD-11 define mixed depression as the presence of non-overlapping symptoms of opposite polarity during a major depressive episode. However, such a definition has generated controversy. METHODS 2720 patients with major depression, enrolled in BRIDGE-II-MIX cross-sectional study, were subdivided in clusters using a k-medoids algorithm based on 32 clinical features. Clinical variables were compared among clusters. Stepwise logistic regression and random forest predictor importance estimates were used to identify which features best predicted cluster membership. Data-driven criteria were compared with DSM-5 mixed specifier and previously proposed research-based criteria (RBDC). RESULTS Two clusters were identified (MDE ± MX), mainly reflecting differences in current manic symptoms. As expected, MDE + MX showed higher rates of comorbidities and bipolar features, more previous depressive episodes and suicide attempts, shorter duration of current MDE and lower age at onset. Seven clinical features among the original 32 proved to be the best predictors of cluster membership. Derived criteria perfectly allocated subjects in clusters, requiring at least four features out of the following seven: irritability, emotional lability, psychomotor agitation, distractibility, mood reactivity, absence of reduced appetite, and absence of psychomotor retardation. RBDC showed a better performance than DSM-5 in identifying MDE + MX subjects. CONCLUSION Our results strongly suggest a predominant role for overlapping "manic" symptoms in defining mixed depressive states. Mixed depression is better identified by the presence of excitatory features shared with mania and atypical features rather than by non-overlapping manic symptoms.
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Affiliation(s)
- Giulio E Brancati
- University of Pisa, Pisa, Italy; Sant'Anna School of Advanced Studies, Pisa, Italy
| | - Eduard Vieta
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | | | - Jules Angst
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
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19
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Perugi G, Pacchiarotti I, Mainardi C, Verdolini N, Menculini G, Barbuti M, Angst J, Azorin JM, Bowden CL, Mosolov S, Young AH, Vieta E. Patterns of response to antidepressants in major depressive disorder: Drug resistance or worsening of depression are associated with a bipolar diathesis. Eur Neuropsychopharmacol 2019; 29:825-834. [PMID: 31227264 DOI: 10.1016/j.euroneuro.2019.06.001] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 05/27/2019] [Accepted: 06/03/2019] [Indexed: 01/01/2023]
Abstract
Resistance and worsening of depression in response to antidepressants (ADs) are major clinical challenges. In a large international sample of patients with major depressive disorder (MDD), we aim to explore the possible associations between different patterns of response to ADs and bipolarity. A total of 2811 individuals with a major depressive episode (MDE) were enrolled in the BRIDGE-II-MIX study. This post-hoc analysis included only 1329 (47%) patients suffering from MDD. Patients with (TRD-MDD, n = 404) and without (NTRD-MDD, n = 925) history of resistance to AD treatment and with (n = 184) and without (n = 1145) previous AD-induced irritability and mood lability (AIM) were compared using Chi-square, t-Student's test and logistic regression models. TRD-MDD patients resulted significantly associated with higher rates of AIM, psychotic features, history of suicide attempts, emotional lability and impulsivity, comorbid borderline personality disorder and polipharmacological treatment, compared to NTRD-MDD group. In comparison to NAIM-MDD patients, subjects in the AIM-MDD group showed significantly higher rates of first-degree family history for BD, previous TRD, atypical features, mixed features, psychiatric comorbidities, lifetime suicide attempts and lower age at first psychiatric symptoms. In addition, patients with AIM presented more often almost all the hypomanic symptoms evaluated in this study. Among these latter symptoms, logistic regressions showed that distractibility, impulsivity and hypersexuality were significantly associated with AIM-MDD. In conclusion, in MDD patients, a lifetime history of resistance and/or irritability/mood lability in response to ADs was associated with the presence of mixed features and a possible underlying bipolar diathesis.
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Affiliation(s)
- Giulio Perugi
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Italy
| | - Isabella Pacchiarotti
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, IDIBAPS CIBERSAM, Hospital Clínic de Barcelona, University of Barcelona, c/Villarroel, 170, 12-0, 08036, Barcelona, Catalonia, Spain; CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain
| | - Cecilia Mainardi
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Italy; Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, IDIBAPS CIBERSAM, Hospital Clínic de Barcelona, University of Barcelona, c/Villarroel, 170, 12-0, 08036, Barcelona, Catalonia, Spain
| | - Norma Verdolini
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, IDIBAPS CIBERSAM, Hospital Clínic de Barcelona, University of Barcelona, c/Villarroel, 170, 12-0, 08036, Barcelona, Catalonia, Spain; CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain; Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Santa Maria della Misericordia Hospital, Perugia, Italy; FIDMAG Germanes Hospitalàries Research Foundation, Sant Boi de Llobregat, Barcelona, Catalonia, Spain
| | - Giulia Menculini
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, IDIBAPS CIBERSAM, Hospital Clínic de Barcelona, University of Barcelona, c/Villarroel, 170, 12-0, 08036, Barcelona, Catalonia, Spain; Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Santa Maria della Misericordia Hospital, Perugia, Italy
| | - Margherita Barbuti
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Italy
| | - Jules Angst
- Psychiatric Hospital, University of Zurich, Switzerland
| | | | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Sergey Mosolov
- Department for Therapy of Mental Disorders, Moscow Research Institute of Psychiatry, Moscow, Russia
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London & South London and Maudsley NHS Foundation Trust, Denmark Hill, Camberwell, London SE5 8AZ, United Kingdom
| | - Eduard Vieta
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, IDIBAPS CIBERSAM, Hospital Clínic de Barcelona, University of Barcelona, c/Villarroel, 170, 12-0, 08036, Barcelona, Catalonia, Spain; CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain.
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20
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Behrendt-Møller I, Madsen T, Sørensen HJ, Sylvia L, Friedman ES, Shelton RC, Bowden CL, Calabrese JR, McElroy SL, Ketter TA, Reilly-Harrington NA, Gao K, Thase M, V Bobo W, Tohen M, McInnis M, Kamali M, Kocsis JH, Deckersbach T, Köhler-Forsberg O, Nierenberg AA. Patterns of changes in bipolar depressive symptoms revealed by trajectory analysis among 482 patients with bipolar disorder. Bipolar Disord 2019; 21:350-360. [PMID: 30383333 DOI: 10.1111/bdi.12715] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Depressive episodes are often prevalent among patients with bipolar disorder, but little is known regarding the differential patterns of development over time. We aimed to determine and characterize trajectories of depressive symptoms among adults with bipolar disorder during 6 months of systematic treatment. METHODS The pragmatic clinical trial, Bipolar Clinical Health Outcomes Initiative in Comparative Effectiveness (CHOICE), randomized 482 outpatients with bipolar disorder to lithium or quetiapine. Depressive symptoms were rated at up to 9 visits using the Montgomery-Asberg Depression Rating Scale (MADRS). Growth mixture modeling was utilized to identify trajectories and multinomial regression analysis estimated associations with potential predictors. RESULTS Four distinct trajectories of depressive symptoms were identified. The responding class (60.3%) with a rapid reduction and subsequent low level; the partial-responding class (18.4%) with an initial reduction followed by an increase during the remaining weeks; the fluctuating class (11.6%) with a fluctuation in depressive symptoms; and the non-responding class (9.7%) with sustained moderate-severe depressive symptoms. Bipolar type I predicted membership of the non-responding class and randomization to quetiapine predicted membership of either the responding or the non-responding class. CONCLUSION Approximately 30% experienced a partial or fluctuating course, and almost 10% had a chronic course with moderate-severe depression during 6 months. Patients diagnosed with bipolar type 1 had higher risk of being categorized into a class with a worse outcome. While no differences in average overall outcomes occurred between the lithium and quetiapine groups, trajectory analysis revealed that the lithium group had more variable courses.
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Affiliation(s)
- Ida Behrendt-Møller
- Mental Health Centre Copenhagen, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Trine Madsen
- Mental Health Centre Copenhagen, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Holger Jelling Sørensen
- Mental Health Centre Copenhagen, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Louisa Sylvia
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, Alabama
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, Texas
| | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, Ohio
| | - Susan L McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, Ohio.,Lindner Center of HOPE, Mason, Ohio
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Noreen A Reilly-Harrington
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Keming Gao
- Department of Psychiatry, Case Western Reserve University, Cleveland, Ohio
| | - Michael Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - William V Bobo
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Science Center, Albuquerque, New Mexico
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Masoud Kamali
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, New York, New York
| | - Thilo Deckersbach
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Ole Köhler-Forsberg
- Mental Health Centre Copenhagen, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.,Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark
| | - Andrew A Nierenberg
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
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21
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Murru A, Guiso G, Barbuti M, Anmella G, Verdolini N, Samalin L, Azorin JM, Angst JJ, Bowden CL, Mosolov S, Young AH, Popovic D, Valdes M, Perugi G, Vieta E, Pacchiarotti I. The implications of hypersomnia in the context of major depression: Results from a large, international, observational study. Eur Neuropsychopharmacol 2019; 29:471-481. [PMID: 30846287 DOI: 10.1016/j.euroneuro.2019.02.011] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 01/31/2019] [Accepted: 02/14/2019] [Indexed: 02/07/2023]
Abstract
According to the DSM-5, "reduction in the need for sleep" is the only sleep-related criteria for mixed features in depressive episodes. We aimed at studying the prevalence, clinical correlates and the role of hypersomnia in a sample of acutely depressed patients. Secondarily, we factors significantly increasing the odds of hypersomnia were studied. We conducted a post-hoc analysis of the BRIDGE-II-Mix study. Variables were compared between patients with hypersomnia (SLEEP+) and with insomnia (SLEEP-) with standard bivariate tests. A stepwise backward logistic regression model was performed with SLEEP+ as dependent variable. A total of 2514 subjects were dichotomized into SLEEP+ (n = 423, 16.8%) and SLEEP- (n = 2091, 83.2%). SLEEP+ had significant higher rates of obese BMI (p < 0.001), BD diagnosis (p = 0.027), severe BD (p < 0.001), lifetime suicide attempts (p < 0.001), lower age at first depression (p = 0.004) than SLEEP-. Also, SLEEP+ had significantly poorer response to antidepressants (AD) such as (hypo)manic switches, AD resistance, affective lability, or irritability (all 0<0.005). Moreover, SLEEP+ had significantly higher rates of mixed-state specifiers than SLEEP- (all 0 < 0.006). A significant contribution to hypersomnia in our regression model was driven by metabolic-related features, such as "current bulimia" (OR = 4.21) and "overweight/obese BMI (OR = 1.42)". Globally, hypersomnia is associated with poor outcome in acute depression. Hypersomnia is strongly associated with mixed features and bipolarity. Metabolic aspects could influence the expression of hypersomnia, worsening the overall clinical outcome. Along with commonly used screening tools, detection of hypersomnia has potential, costless discriminative validity in the differential diagnosis unipolar and bipolar depression.
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Affiliation(s)
- A Murru
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - G Guiso
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Clinica Psichiatrica, Dipartimento di Igiene e Sanità, Università di Cagliari, Italy
| | - M Barbuti
- Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Santa Maria della Misericordia Hospital, Edificio Ellisse, 8 Piano, Sant'Andrea delle Fratte, 06132, Perugia, Italy
| | - G Anmella
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - N Verdolini
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Sant Boi de Llobregat, Barcelona, Catalonia, Spain; Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - L Samalin
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; CHU Clermont-Ferrand, Department of Psychiatry, University of Auvergne, Clermont-Ferrand, France; Fondation FondaMental, Hôpital Albert Chenevier, Pôle de Psychiatrie, Créteil, France
| | - J M Azorin
- Fondation FondaMental, Hôpital Albert Chenevier, Pôle de Psychiatrie, Créteil, France
| | - J Jules Angst
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - C L Bowden
- University of Texas Health Science Center, San Antonio, USA
| | - S Mosolov
- Moscow Research Institute of Psychiatry, Russia
| | - A H Young
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - D Popovic
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Psychiatry B, Sheba Medical Center, Israel
| | - M Valdes
- Department of Medicine, Sleep Unit, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM; Barcelona, Catalonia, Spain
| | - G Perugi
- Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Santa Maria della Misericordia Hospital, Edificio Ellisse, 8 Piano, Sant'Andrea delle Fratte, 06132, Perugia, Italy
| | - E Vieta
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.
| | - I Pacchiarotti
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
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22
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Kinrys G, Bowden CL, Nierenberg AA, Hearing CM, Gold AK, Rabideau DJ, Sylvia LG, Gao K, Kamali M, Bobo WV, Tohen M, Deckersbach T, McElroy SL, Ketter TA, Shelton RC, Friedman ES, Calabrese JR, McInnis MG, Kocsis J, Thase ME, Singh V, Reilly-Harrington NA. Comorbid anxiety in bipolar CHOICE: Insights from the bipolar inventory of symptoms scale. J Affect Disord 2019; 246:126-131. [PMID: 30580198 DOI: 10.1016/j.jad.2018.12.039] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 11/08/2018] [Accepted: 12/16/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Approximately 86-89% of patients with BD have a comorbid anxiety disorder associated with poor quality of life and reduced likelihood of recovery from an acute mood episode. The purpose of this study is to assess the prevalence and impact of comorbid anxiety using the Bipolar Inventory of Symptoms Scale (BISS) in patients with BD who participated in a 6-month pragmatic trial. METHODS Participants (N = 482) in the Bipolar Clinical Health Outcomes Initiative in Comparative Effectiveness (CHOICE) study were adults with BD I or II. Anxiety diagnoses were assessed with the MINI. Global illness severity was assessed using the Clinical Global Impression-Bipolar Version. Mood symptoms and anxiety severity were assessed using the BISS. RESULTS 61% of the study sample met criteria for a current anxiety disorder. Patients with a higher BISS anxiety score at baseline had a higher overall BD illness severity, depressive severity, and manic episode severity (p < 0.001). A single cutoff value of BISS anxiety had great sensitivity, yet poor specificity for determining a comorbid anxiety diagnosis. There were no significant differences in outcomes for individuals treated for anxiety disorders with anxiolytics compared with those who were not treated with anxiolytics. LIMITATIONS Sample size limitations prevented an analysis of whether the BISS cutoff score of 10 performed differently across varied anxiety disorders. CONCLUSIONS Given its ability to identify patients with co-occurring anxiety, the BISS anxiety subscale shows clinical utility as a screening measure though its application as a clinical assessment measure may not be advisable.
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Affiliation(s)
- Gustavo Kinrys
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Casey M Hearing
- Department of Psychology, The George Washington University, Washington, DC, USA
| | - Alexandra K Gold
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | | | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Keming Gao
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - Masoud Kamali
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - William V Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico, Health Sciences Center, Albuquerque, NM, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA; Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - James Kocsis
- Department of Psychiatry, Weill Cornell Medical College of Cornell University, New York, NY, USA
| | - Michael E Thase
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Vivek Singh
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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23
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Verdolini N, Menculini G, Perugi G, Murru A, Samalin L, Angst J, Azorin JM, Bowden CL, Mosolov S, Young AH, Barbuti M, Popovic D, Vieta E, Pacchiarotti I. Sultans of Swing: A Reappraisal of the Intertwined Association Between Affective Lability and Mood Reactivity in a Post Hoc Analysis of the BRIDGE-II-MIX Study. J Clin Psychiatry 2019; 80. [PMID: 30786180 DOI: 10.4088/jcp.17m12082] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 08/13/2018] [Indexed: 10/27/2022]
Abstract
OBJECTIVE This post hoc analysis of the BRIDGE-II-MIX study is aimed at evaluating affective lability (AL) as a possible clinical feature of mixed depression and assessing the relationship with atypical depressive features, particularly mood reactivity (MR). METHODS In the BRIDGE-II-MIX multicenter, cross-sectional study, 2,811 individuals suffering from a major depressive episode (MDE; DSM-IV-TR criteria), in the context of bipolar I or II disorder (BD-I, BD-II, respectively) or major depressive disorder, were enrolled between June 2009 and July 2010. Patients with (MDE-AL, n = 694) and without (MDE-noAL, n = 1,883) AL and with (MDE-MR, n = 1,035) or without (MDE-noMR, n = 1,542) MR were compared through χ² test or Student t test. Stepwise backward logistic regression models, respectively testing AL and MR as the dependent variable, were performed to differentiate the 2 clinical constructs. RESULTS AL was positively associated with BD-I (P < .001) and BD-II (P < .001), with DSM-5 mixed (DSM-5-MXS) (P < .001) and atypical (DSM-5-AD) features (P < .001) and negatively associated with MDD (P < .001). In the logistic regression models, MR was the variable most significantly associated with AL and vice versa (P < .001 for both). AL was positively associated with severity of mania and DSM-5-MXS and negatively correlated with severity of depression, while MR was better predicted by atypical symptoms such as hyperphagia, hypersomnia, and leaden paralysis and correlated with both comorbid anxiety disorders and DSM-5-MXS. CONCLUSIONS Mixed and atypical depression may lie on the same continuum. MR and AL could represent the underlying matrix, bridging the gap between mixed and atypical depression.
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Affiliation(s)
- Norma Verdolini
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Catalonia, Spain.,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain.,Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - Giulia Menculini
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - Giulio Perugi
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Andrea Murru
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain
| | - Ludovic Samalin
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,CHU Clermont-Ferrand, Department of Psychiatry, University of Auvergne, Clermont-Ferrand, France.,Fondation FondaMental, Hôpital Albert Chenevier, Pôle de Psychiatrie, Créteil, France
| | - Jules Angst
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | | | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Sergey Mosolov
- Department for Therapy of Mental Disorders, Moscow Research Institute of Psychiatry, Moscow, Russia
| | - Allan H Young
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Margherita Barbuti
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Dina Popovic
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Psychiatry B, The Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Eduard Vieta
- Bipolar Disorders Unit, Institute of Neuroscience, IDIBAPS CIBERSAM Hospital Clínic de Barcelona, Calle Villarroel, 170, 12-0, 08036 Barcelona, Spain. .,Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain
| | - Isabella Pacchiarotti
- Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Barcelona, Spain
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24
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Caldieraro MA, Dufour S, Sylvia LG, Gao K, Ketter TA, Bobo WV, Walsh S, Janos J, Tohen M, Reilly-Harrington NA, McElroy SL, Shelton RC, Bowden CL, Deckersbach T, Nierenberg AA. Treatment outcomes of acute bipolar depressive episode with psychosis. Depress Anxiety 2018; 35:402-410. [PMID: 29329498 DOI: 10.1002/da.22716] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 10/18/2017] [Accepted: 11/13/2017] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The impact of psychosis on the treatment of bipolar depression is remarkably understudied. The primary aim of this study was to compare treatment outcomes of bipolar depressed individuals with and without psychosis. The secondary aim was to compare the effect of lithium and quetiapine, each with adjunctive personalized treatments (APTs), in the psychotic subgroup. METHODS We assessed participants with DSM-IV bipolar depression included in a comparative effectiveness study of lithium and quetiapine with APTs (the Bipolar CHOICE study). Severity was assessed by the Bipolar Inventory of Symptoms Scale (BISS) and by the Clinical Global Impression Scale-Severity-Bipolar Version (CGI-S-BP). Mixed models were used to assess the course of symptom change, and Cox regression survival analysis was used to assess the time to remission. RESULTS Psychotic features were present in 10.6% (n = 32) of the depressed participants (n = 303). Those with psychotic features had higher scores on the BISS before (75.2 ± 17.6 vs. 54.9 ± 16.3; P < .001) and after (37.2 ± 19.7 vs. 26.3 ± 18.0; P = .003) 6-month treatment. The CGI-S-BP yielded similar results. Participants with and without psychosis had similar course of symptom improvement and similar time to remission. There was no significant difference in the treatment outcomes of lithium (n = 11) and quetiapine (n = 21) among the psychotic subgroup. CONCLUSION Bipolar depressive episodes with psychotic features are more severe, and compared to nonpsychotic depressions, present a similar course of improvement. Given the small number of participants presenting psychosis, the lack of statistically significant difference between lithium- and quetiapine-based treatment of psychotic bipolar depressive episodes needs replication in a larger sample.
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Affiliation(s)
- Marco Antonio Caldieraro
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Serviço de Psiquiatria, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brasil
| | - Steven Dufour
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Keming Gao
- Mood Disorders Program, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Terence A Ketter
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - William V Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Samantha Walsh
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Jessica Janos
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Mauricio Tohen
- Department of Psychiatry & Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA.,Deparment of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
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25
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Tohen M, Gold AK, Sylvia LG, Montana RE, McElroy SL, Thase ME, Rabideau DJ, Nierenberg AA, Reilly-Harrington NA, Friedman ES, Shelton RC, Bowden CL, Singh V, Deckersbach T, Ketter TA, Calabrese JR, Bobo WV, McInnis MG. Corrigendum to bipolar mixed features - Results from the comparative effectiveness for bipolar disorder (Bipolar CHOICE) study [Journal of Affective Disorders 217 (2017) 183-189]. J Affect Disord 2018; 225:775-777. [PMID: 28826887 DOI: 10.1016/j.jad.2017.08.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Mauricio Tohen
- Department of Psychiatry & Behavioral Sciences, University of New Mexico, Health Sciences Center, Albuquerque, NM, USA.
| | - Alexandra K Gold
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Rebecca E Montana
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA; Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Michael E Thase
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Dustin J Rabideau
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | | | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Vivek Singh
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Terence A Ketter
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Joseph R Calabrese
- Bipolar Disorders Research Center, University Hospital's Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - William V Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
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26
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Köhler-Forsberg O, Madsen T, Behrendt-Møller I, Sylvia L, Bowden CL, Gao K, Bobo WV, Trivedi MH, Calabrese JR, Thase M, Shelton RC, McInnis M, Tohen M, Ketter TA, Friedman ES, Deckersbach T, McElroy SL, Reilly-Harrington NA, Nierenberg AA. Trajectories of suicidal ideation over 6 months among 482 outpatients with bipolar disorder. J Affect Disord 2017; 223:146-152. [PMID: 28755622 DOI: 10.1016/j.jad.2017.07.038] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 07/14/2017] [Accepted: 07/19/2017] [Indexed: 01/17/2023]
Abstract
INTRODUCTION Suicidal ideation occurs frequently among individuals with bipolar disorder; however, its course and persistence over time remains unclear. We aimed to investigate 6-months trajectories of suicidal ideation among adults with bipolar disorder. METHODS The Bipolar CHOICE study randomized 482 outpatients with bipolar disorder to 6 months of lithium- or quetiapine-based treatment including other psychotropic medications as clinically indicated. Participants were asked at 9 visits about suicidal ideation using the Concise Health Risk Tracking scale. We performed latent Growth Mixture Modelling analysis to empirically identify trajectories of suicidal ideation. Multinomial logistic regression analyses were applied to estimate associations between trajectories and potential predictors. RESULTS We identified four distinct trajectories. The Moderate-Stable group represented 11.1% and was characterized by constant suicidal ideation. The Moderate-Unstable group included 2.9% with persistent thoughts about suicide with a more fluctuating course. The third (Persistent-low, 20.8%) and fourth group (Persistent-very-low, 65.1%) were characterized by low levels of suicidal ideation. Higher depression scores and previous suicide attempts (non-significant trend) predicted membership of the Moderate-Stable group, whereas randomized treatment did not. LIMITATIONS No specific treatments against suicidal ideation were included and suicidal thoughts may persist for several years. CONCLUSION More than one in ten adult outpatients with bipolar disorder had moderately increased suicidal ideation throughout 6 months of pharmacotherapy. The identified predictors may help clinicians to identify those with additional need for treatment against suicidal thoughts and future studies need to investigate whether targeted treatment (pharmacological and non-pharmacological) may improve the course of persistent suicidal ideation.
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Affiliation(s)
- Ole Köhler-Forsberg
- Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark; Mental Health Centre Copenhagen, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Trine Madsen
- Mental Health Centre Copenhagen, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ida Behrendt-Møller
- Mental Health Centre Copenhagen, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Louisa Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Keming Gao
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - William V Bobo
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - Michael Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Science Center, Albuquerque, NM, USA
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Susan L McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH and Lindner Center of HOPE, Mason, OH, USA
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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27
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Fries GR, Colpo GD, Monroy-Jaramillo N, Zhao J, Zhao Z, Arnold JG, Bowden CL, Walss-Bass C. Distinct lithium-induced gene expression effects in lymphoblastoid cell lines from patients with bipolar disorder. Eur Neuropsychopharmacol 2017; 27:1110-1119. [PMID: 28939162 PMCID: PMC5685885 DOI: 10.1016/j.euroneuro.2017.09.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 08/08/2017] [Accepted: 09/07/2017] [Indexed: 12/12/2022]
Abstract
Lithium is the most commonly prescribed medication for the treatment of bipolar disorder (BD), yet the mechanisms underlying its beneficial effects are still unclear. We aimed to compare the effects of lithium treatment in lymphoblastoid cell lines (LCLs) from BD patients and controls. LCLs were generated from sixty-two BD patients (based on DSM-IV) and seventeen healthy controls matched for age, sex, and ethnicity. Patients were recruited from outpatient clinics from February 2012 to October 2014. LCLs were treated with 1mM lithium for 7 days followed by microarray gene expression assay and validation by real-time quantitative PCR. Baseline differences between groups, as well as differences between vehicle- and lithium-treated cells within each group were analyzed. The biological significance of differentially expressed genes was examined by pathway enrichment analysis. No significant differences in baseline gene expression (adjusted p-value < 0.05) were detected between groups. Lithium treatment of LCLs from controls did not lead to any significant differences. However, lithium altered the expression of 236 genes in LCLs from patients; those genes were enriched for signaling pathways related to apoptosis. Among those genes, the alterations in the expression of PIK3CG, SERP1 and UPP1 were validated by real-time PCR. A significant correlation was also found between circadian functioning and CEBPG and FGF2 expression levels. In summary, our results suggest that lithium treatment induces expression changes in genes associated with the apoptosis pathway in BD LCLs. The more pronounced effects of lithium in patients compared to controls suggest a disease-specific effect of this drug.
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Affiliation(s)
- Gabriel R Fries
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States
| | - Gabriela D Colpo
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States
| | - Nancy Monroy-Jaramillo
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States; Department of Genetics, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Insurgentes Sur 3877 Col. La Fama, Tlalpan, C.P. 14269 Mexico City, Mexico
| | - Junfei Zhao
- Bioinformatics and Systems Medicine Laboratory (BSML), Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX 77030, United States
| | - Zhongming Zhao
- Bioinformatics and Systems Medicine Laboratory (BSML), Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX 77030, United States; Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, 1200 Pressler Street, Houston, TX 77030, United States
| | - Jodi G Arnold
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Consuelo Walss-Bass
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States.
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Verdolini N, Perugi G, Samalin L, Murru A, Angst J, Azorin JM, Bowden CL, Mosolov S, Young AH, Barbuti M, Guiso G, Popovic D, Vieta E, Pacchiarotti I. Aggressiveness in depression: a neglected symptom possibly associated with bipolarity and mixed features. Acta Psychiatr Scand 2017; 136:362-372. [PMID: 28741646 DOI: 10.1111/acps.12777] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/03/2017] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To evaluate aggressiveness during a major depressive episode (MDE) and its relationship with bipolar disorder (BD) in a post hoc analysis of the BRIDGE-II-MIX study. METHOD A total of 2811 individuals were enrolled in this multicenter cross-sectional study. MDE patients with (MDE-A, n = 399) and without aggressiveness (MDE-N, n = 2412) were compared through chi-square test or Student's t-test. A stepwise backward logistic regression model was performed. RESULTS MDE-A group was more frequently associated with BD (P < 0.001), while aggressiveness was negatively correlated with unipolar depression (P < 0.001). At the logistic regression, aggressiveness was associated with the age at first depressive episode (P < 0.001); the severity of mania (P = 0.03); the diagnosis of BD (P = 0.001); comorbid borderline personality disorder (BPD) (P < 0.001) but not substance abuse (P = 0.63); no current psychiatric treatment (P < 0.001); psychotic symptoms (P = 0.007); the marked social/occupational impairment (P = 0.002). The variable most significantly associated with aggressiveness was the presence of DSM-5 mixed features (P < 0.001, OR = 3.815). After the exclusion of BPD, the variable of lifetime suicide attempts became significant (P = 0.013, OR = 1.405). CONCLUSION Aggressiveness seems to be significantly associated with bipolar spectrum disorders, independently from BPD and substance abuse. Aggressiveness should be considered as a diagnostic criterion for the mixed features specifier and a target of tailored treatment strategy.
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Affiliation(s)
- N Verdolini
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Santa Maria della Misericordia Hospital, Perugia, Italy
| | - G Perugi
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - L Samalin
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Department of Psychiatry, CHU Clermont-Ferrand, University of Auvergne, EA 7280, Clermont-Ferrand, France.,Fondation FondaMental, Hôpital Albert Chenevier, Pôle de Psychiatrie, Créteil, France
| | - A Murru
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - J Angst
- Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - J-M Azorin
- AP HM, Psychiatric Pole, Sainte Marguerite, Marseille, France
| | - C L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - S Mosolov
- Department for Therapy of Mental Disorders, Moscow Research Institute of Psychiatry, Moscow, Russia
| | - A H Young
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - M Barbuti
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - G Guiso
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Department of Medical Sciences and Public Health, University of Cagliari and Psychiatric Clinic, University Hospital, Cagliari, Italy
| | - D Popovic
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Psychiatry B, The Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - E Vieta
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - I Pacchiarotti
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
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29
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Petri E, Bacci O, Barbuti M, Pacchiarotti I, Azorin JM, Angst J, Bowden CL, Mosolov S, Vieta E, Young AH, Perugi G. Obesity in patients with major depression is related to bipolarity and mixed features: evidence from the BRIDGE-II-Mix study. Bipolar Disord 2017; 19:458-464. [PMID: 28691250 DOI: 10.1111/bdi.12519] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 06/05/2017] [Indexed: 01/23/2023]
Abstract
OBJECTIVES The Bipolar Disorders: Improving Diagnosis, Guidance and Education (BRIDGE)-II-Mix study aimed to estimate the frequency of mixed states in patients with a major depressive episode (MDE) according to different definitions. The present post-hoc analysis evaluated the association between obesity and the presence of mixed features and bipolarity. METHODS A total of 2811 MDE subjects were enrolled in a multicenter cross-sectional study. In 2744 patients, the body mass index (BMI) was evaluated. Psychiatric symptoms, and sociodemographic and clinical variables were collected, comparing the characteristics of MDE patients with (MDE-OB) and without (MDE-NOB) obesity. RESULTS Obesity (BMI ≥30) was registered in 493 patients (18%). In the MDE-OB group, 90 patients (20%) fulfilled the DSM-IV-TR criteria for bipolar disease (BD), 225 patients (50%) fulfilled the bipolarity specifier criteria, 59 patients (13%) fulfilled DSM-5 criteria for MDEs with mixed features, and 226 patients (50%) fulfilled Research-Based Diagnostic Criteria for an MDE. Older age, history of (hypo)manic switches during antidepressant treatment, the occurrence of three or more MDEs, atypical depressive features, antipsychotic treatment, female gender, depressive mixed state according to DSM-5 criteria, comorbid eating disorders, and anxiety disorders were significantly associated with the MDE-OB group. Among (hypo)manic symptoms during the current MDE, psychomotor agitation, distractibility, increased energy, and risky behaviors were the variables most frequently associated with MDE-OB group. CONCLUSIONS In our sample, the presence of obesity in patients with an MDE seemed to be associated with higher rates of bipolar spectrum disorders. These findings suggest that obesity in patients with an MDE could be considered as a possible marker of bipolarity.
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Affiliation(s)
| | | | - Margherita Barbuti
- University of Pisa, Pisa, Italy.,Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Isabella Pacchiarotti
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | | | - Jules Angst
- Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | | | | | - Eduard Vieta
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
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30
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Barbuti M, Pacchiarotti I, Vieta E, Azorin JM, Angst J, Bowden CL, Mosolov S, Young AH, Perugi G. Antidepressant-induced hypomania/mania in patients with major depression: Evidence from the BRIDGE-II-MIX study. J Affect Disord 2017; 219:187-192. [PMID: 28558366 DOI: 10.1016/j.jad.2017.05.035] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Revised: 04/12/2017] [Accepted: 05/22/2017] [Indexed: 12/12/2022]
Abstract
BACKGROUND The issue of antidepressant-induced mood switches to hypomania, mania, or mixed states within the course of mayor depressive disorder (MDD) has been a controversial topic. The present post-hoc analysis of the BRIDGE-II-MIX study focuses on the clinical features of patients with history of antidepressant-induced hypomania/mania (AIHM) in a large international sample of patients with major depressive episode (MDE). METHODS 2811 subjects with major depression were enrolled in this multicentre cross-sectional study. Current mixed symptoms, socio-demographic and other clinical variables were collected and compared among MDD-AIHM, MDD and BD patients. RESULTS 475 patients out of 2811 had history of AIHM (16.90%). In the MDD-AIHM group, familiarity for BD and rates of atypical features and comorbid anxiety, eating and borderline personality disorders were similar to BD and significantly more frequent compared to MDD group. MDD-AIHM patients had more frequently more than 3 episodes and reported higher rates of treatment resistance, mood lability and irritability following treatment with antidepressants. Frequencies of depression with mixed features and (hypo)manic symptoms were similar in patients of MDD-AIHM and BD groups and significantly higher in both groups than in MDD. LIMITATIONS there were widely varying rates of hospitalized patients across countries and the participating centres were not randomly selected. CONCLUSIONS Our results strongly support the DSM-5 inclusion of MDD patients with AIHM within the rubric of bipolar disorder. Differences with other MDD and BD were also observed suggesting the possibility that MDD-AIHM may represent a specific sub-population, particularly sensitive to exogenous input from antidepressants.
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Affiliation(s)
- Margherita Barbuti
- University of Pisa, Pisa, Italy; Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Isabella Pacchiarotti
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | | | - Jules Angst
- Psychiatric Hospital, University of Zurich, Switzerland
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31
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Caldieraro MA, Sylvia LG, Dufour S, Walsh S, Janos J, Rabideau DJ, Kamali M, McInnis MG, Bobo WV, Friedman ES, Gao K, Tohen M, Reilly-Harrington NA, Ketter TA, Calabrese JR, McElroy SL, Thase ME, Shelton RC, Bowden CL, Kocsis JH, Deckersbach T, Nierenberg AA. Clinical correlates of acute bipolar depressive episode with psychosis. J Affect Disord 2017; 217:29-33. [PMID: 28365478 DOI: 10.1016/j.jad.2017.03.059] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 01/24/2017] [Accepted: 03/05/2017] [Indexed: 12/18/2022]
Abstract
BACKGROUND Psychotic bipolar depressive episodes remain remarkably understudied despite being common and having a significant impact on bipolar disorder. The aim of this study is to identify the characteristics of depressed bipolar patients with current psychosis compared to those without psychosis. METHODS We used baseline data of a comparative effectiveness study of lithium and quetiapine for bipolar disorder (the Bipolar CHOICE study) to compare demographic, clinical, and functioning variables between those with and without psychotic symptoms. Of the 482 participants, 303 (62.9%) were eligible for the present study by meeting DSM-IV criteria for an acute bipolar depressive episode. Univariate analyses were conducted first, and then included in a model controlling for symptom severity. RESULTS The sample was composed mostly of women (60.7%) and the mean age was 39.5±12.1 years. Psychosis was present in 10.6% (n=32) of the depressed patients. Psychotic patients had less education, lower income, and were more frequently single and unemployed. Psychosis was also associated with a more severe depressive episode, higher suicidality, more comorbid conditions and worse functioning. Most group differences disappeared when controlling for depression severity. LIMITATIONS Only outpatients were included and the presence of psychosis in previous episodes was not assessed. CONCLUSION Psychosis during bipolar depressive episodes is present even in an outpatient sample. Psychotic, depressed patients have worse illness outcomes, but future research is necessary to confirm if these outcomes are only associated with the severity of the disorder or if some of them are independent of it.
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Affiliation(s)
- Marco Antonio Caldieraro
- Serviço de Psiquiatria, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Steven Dufour
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Samantha Walsh
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Jessica Janos
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Dustin J Rabideau
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA
| | - Masoud Kamali
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - William V Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Keming Gao
- Mood Disorders Program, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Mauricio Tohen
- Department of Psychiatry & Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Terence A Ketter
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA USA
| | - Joseph R Calabrese
- Mood Disorders Program, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA; Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Michael E Thase
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | | | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, Ithaca, NY, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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32
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Tohen M, Gold AK, Sylvia LG, Montana RE, McElroy SL, Thase ME, Rabideau DJ, Nierenberg AA, Reilly-Harrington NA, Friedman ES, Shelton RC, Bowden CL, Singh V, Deckersbach T, Ketter TA, Calabrese JR, Bobo WV, McInnis MG. Bipolar mixed features - Results from the comparative effectiveness for bipolar disorder (Bipolar CHOICE) study. J Affect Disord 2017; 217:183-189. [PMID: 28411507 DOI: 10.1016/j.jad.2017.03.070] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2016] [Revised: 02/09/2017] [Accepted: 03/28/2017] [Indexed: 11/27/2022]
Abstract
BACKGROUND DSM-5 changed the criteria from DSM-IV for mixed features in mood disorder episodes to include non-overlapping symptoms of depression and hypomania/mania. It is unknown if, by changing these criteria, the same group would qualify for mixed features. We assessed how those meeting DSM-5 criteria for mixed features compare to those meeting DSM-IV criteria. METHODS We analyzed data from 482 adult bipolar patients in Bipolar CHOICE, a randomized comparative effectiveness trial. Bipolar diagnoses were confirmed through the MINI International Neuropsychiatric Interview (MINI). Presence and severity of mood symptoms were collected with the Bipolar Inventory of Symptoms Scale (BISS) and linked to DSM-5 and DSM-IV mixed features criteria. Baseline demographics and clinical variables were compared between mood episode groups using ANOVA for continuous variables and chi-square tests for categorical variables. RESULTS At baseline, the frequency of DSM-IV mixed episodes diagnoses obtained with the MINI was 17% and with the BISS was 20%. Using DSM-5 criteria, 9% of participants met criteria for hypomania/mania with mixed features and 12% met criteria for a depressive episode with mixed features. Symptom severity was also associated with increased mixed features with a high rate of mixed features in patients with mania/hypomania (63.8%) relative to those with depression (8.0%). LIMITATIONS Data on mixed features were collected at baseline only and thus do not reflect potential patterns in mixed features within this sample across the study duration. CONCLUSIONS The DSM-5 narrower, non-overlapping definition of mixed episodes resulted in fewer patients who met mixed criteria compared to DSM-IV.
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Affiliation(s)
- Mauricio Tohen
- Department of Psychiatry & Behavioral Sciences, University of New Mexico, Health Sciences Center, Albuquerque, NM, USA.
| | - Alexandra K Gold
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Rebecca E Montana
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA; Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Michael E Thase
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Dustin J Rabideau
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | | | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Vivek Singh
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Terence A Ketter
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Joseph R Calabrese
- Bipolar Disorders Research Center, University Hospital's Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - William V Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
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33
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Köhler O, Sylvia LG, Bowden CL, Calabrese JR, Thase M, Shelton RC, McInnis M, Tohen M, Kocsis JH, Ketter TA, Friedman ES, Deckersbach T, Ostacher MJ, Iosifescu DV, McElroy S, Nierenberg AA. White blood cell count correlates with mood symptom severity and specific mood symptoms in bipolar disorder. Aust N Z J Psychiatry 2017; 51:355-365. [PMID: 27126391 DOI: 10.1177/0004867416644508] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Immune alterations may play a role in bipolar disorder etiology; however, the relationship between overall immune system functioning and mood symptom severity is unknown. METHODS The two comparative effectiveness trials, the Clinical and Health Outcomes Initiatives in Comparative Effectiveness for Bipolar Disorder Study (Bipolar CHOICE) and the Lithium Treatment Moderate-Dose Use Study (LiTMUS), were similar trials among patients with bipolar disorder. At study entry, white blood cell count and bipolar mood symptom severity (via Montgomery-Aasberg Depression Rating Scale and Bipolar Inventory of Symptoms Scale) were assessed. We performed analysis of variance and linear regression analyses to investigate relationships between deviations from median white blood cell and multinomial regression analysis between higher and lower white blood cell levels. All analyses were adjusted for age, gender, body mass index, smoking, diabetes, hypertension and hyperlipidemia. RESULTS Among 482 Bipolar CHOICE participants, for each 1.0 × 109/L white blood cell deviation, the overall Bipolar Inventory of Symptoms Scale severity increased significantly among men (coefficient = 2.13; 95% confidence interval = [0.46, -3.79]; p = 0.013), but not among women (coefficient = 0.87; 95% confidence interval = [-0.87, -2.61]; p = 0.33). Interaction analyses showed a trend toward greater Bipolar Inventory of Symptoms Scale symptom severity among men (coefficient = 1.51; 95% confidence interval = [-0.81, -3.82]; p = 0.2). Among 283 LiTMUS participants, higher deviation from the median white blood cell showed a trend toward higher Montgomery-Aasberg Depression Rating Scale scores among men (coefficient = 1.33; 95% confidence interval = [-0.22, -2.89]; p = 0.09), but not among women (coefficient = 0.34; 95% confidence interval = [-0.64, -1.32]; p = 0.50). When combining LiTMUS and Bipolar CHOICE, Montgomery-Aasberg Depression Rating Scale scores increased significantly among men (coefficient = 1.09; 95% confidence interval = [0.31, -1.87]; p = 0.006) for each 1.0 × 109/L white blood cell deviation, whereas we found a weak association among women (coefficient = 0.55; 95% confidence interval = [-0.20, -1.29]; p = 0.14). Lower and higher white blood cell levels correlated with greater symptom severity and specific symptoms, varying according to gender. CONCLUSION Deviations in an overall immune system marker, even within the normal white blood cell range, correlated with mood symptom severity in bipolar disorder, mostly among males. Studies are warranted investigating whether white blood cell count may predict response to mood-stabilizing treatment.
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Affiliation(s)
- Ole Köhler
- 1 Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark
| | - Louisa G Sylvia
- 2 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,3 Harvard Medical School, Boston, MA, USA
| | - Charles L Bowden
- 4 Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Joseph R Calabrese
- 5 Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - Michael Thase
- 6 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard C Shelton
- 7 Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Melvin McInnis
- 8 Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Mauricio Tohen
- 9 Department of Psychiatry, University of New Mexico Health Science Center, Albuquerque, NM, USA
| | - James H Kocsis
- 10 Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - Terence A Ketter
- 11 Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
| | - Edward S Friedman
- 12 Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Thilo Deckersbach
- 2 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,3 Harvard Medical School, Boston, MA, USA
| | - Michael J Ostacher
- 11 Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.,13 VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Dan V Iosifescu
- 14 Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susan McElroy
- 15 Department of Psychiatry and Behavioral Neuroscience, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.,16 Lindner Center of HOPE, Mason, OH, USA
| | - Andrew A Nierenberg
- 2 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,3 Harvard Medical School, Boston, MA, USA
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34
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Köhler-Forsberg O, Sylvia L, Thase M, Calabrese JR, Deckersbach T, Tohen M, Bowden CL, McInnis M, Kocsis JH, Friedman ES, Ketter TA, McElroy S, Shelton RC, Nierenberg AA. Nonsteroidal anti-inflammatory drugs (NSAIDs) and paracetamol do not affect 6-month mood-stabilizing treatment outcome among 482 patients with bipolar disorder. Depress Anxiety 2017; 34:281-290. [PMID: 28135023 DOI: 10.1002/da.22601] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Revised: 10/11/2016] [Accepted: 12/12/2016] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Many mood disorder patients need analgesics due to increased pain sensitivity. Recent studies have suggested that nonsteroidal anti-inflammatory drugs (NSAIDs) may inhibit antidepressant treatment, which requires replication before clinical recommendations. METHODS The Clinical and Health Outcomes Initiatives in Comparative Effectiveness for Bipolar Disorder Study randomized participants to 6 months lithium or quetiapine treatment. Use of NSAIDs and paracetamol was assessed throughout the study period and psychopathology measured with the Clinical Global Impression Scale for Bipolar Disorder (CGI-BP) and Bipolar Inventory of Symptoms Scale (BISS). The effects of NSAIDs and paracetamol on treatment outcome were examined using mixed effects linear regression adjusted for age, gender, body mass index, smoking status, exercise, and somatic diseases. RESULTS Among 482 participants, 177 (36.7%) used NSAIDs and/or paracetamol during the study. NSAID and paracetamol users did not differ from nonusers with respect to treatment outcome with lithium or quetiapine at any time point during 6 months treatment on the overall CGI-BP (β = 0.001 (95% CI = -0.01 to -0.01), P = .87), the BISS (β = 0.01 (95% CI = -0.17 to 0.15), P = .91), nor the CGI-BP subscales for depression or mania. Users of NSAIDs only (n = 76), paracetamol only (n = 62), and users of both NSAIDs and paracetamol (n = 39) showed no statistical difference compared to nonusers (all P > .3). CONCLUSIONS This is the first trial to show that use of NSAIDs and paracetamol, alone or in combination, does not affect lithium- or quetiapine-based bipolar disorder mood-stabilizing treatment outcomes. Prior studies have suggested that NSAIDs may inhibit antidepressant treatment, whereas our results support findings indicating no detrimental effects of NSAIDs or paracetamol on affective disorder treatment.
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Affiliation(s)
| | - Louisa Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Michael Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Science Center, Albuquerque, NM, USA
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Susan McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH.,Lindner Center of HOPE, Mason, OH, USA
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
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35
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Fries GR, Quevedo J, Zeni CP, Kazimi IF, Zunta-Soares G, Spiker DE, Bowden CL, Walss-Bass C, Soares JC. Integrated transcriptome and methylome analysis in youth at high risk for bipolar disorder: a preliminary analysis. Transl Psychiatry 2017; 7:e1059. [PMID: 28291257 PMCID: PMC5416675 DOI: 10.1038/tp.2017.32] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Revised: 12/20/2017] [Accepted: 01/18/2017] [Indexed: 12/19/2022] Open
Abstract
First-degree relatives of patients with bipolar disorder (BD), particularly their offspring, have a higher risk of developing BD and other mental illnesses than the general population. However, the biological mechanisms underlying this increased risk are still unknown, particularly because most of the studies so far have been conducted in chronically ill adults and not in unaffected youth at high risk. In this preliminary study we analyzed genome-wide expression and methylation levels in peripheral blood mononuclear cells from children and adolescents from three matched groups: BD patients, unaffected offspring of bipolar parents (high risk) and controls (low risk). By integrating gene expression and DNA methylation and comparing the lists of differentially expressed genes and differentially methylated probes between groups, we were able to identify 43 risk genes that discriminate patients and high-risk youth from controls. Pathway analysis showed an enrichment of the glucocorticoid receptor (GR) pathway with the genes MED1, HSPA1L, GTF2A1 and TAF15, which might underlie the previously reported role of stress response in the risk for BD in vulnerable populations. Cell-based assays indicate a GR hyporesponsiveness in cells from adult BD patients compared to controls and suggest that these GR-related genes can be modulated by DNA methylation, which poses the theoretical possibility of manipulating their expression as a means to counteract the familial risk presented by those subjects. Although preliminary, our results suggest the utility of peripheral measures in the identification of biomarkers of risk in high-risk populations and further emphasize the potential role of stress and DNA methylation in the risk for BD in youth.
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Affiliation(s)
- G R Fries
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - J Quevedo
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA,Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA,Neuroscience Graduate Program, The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX, USA,Laboratory of Neurosciences, Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - C P Zeni
- Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - I F Kazimi
- Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - G Zunta-Soares
- Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - D E Spiker
- Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - C L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - C Walss-Bass
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA,Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA,Neuroscience Graduate Program, The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX, USA,Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), 1941 East Road, BBSB 5102A, Houston, TX 77054, USA. E-mail:
| | - J C Soares
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA,Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
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36
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Arnold JG, Martinez C, Zavala J, Prihoda TJ, Escamilla M, Singh V, Bazan M, Quiñones M, Bowden CL. Investigating symptom domains of bipolar disorder for Spanish-speakers using the Bipolar Inventory of Symptoms Scale. J Affect Disord 2016; 205:239-244. [PMID: 27454409 DOI: 10.1016/j.jad.2016.07.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 06/10/2016] [Accepted: 07/06/2016] [Indexed: 10/21/2022]
Abstract
BACKGROUND A Spanish language rating scale which assesses the range of bipolar disorder symptoms is needed. There are rating scales commonly used, however they do not address commonly expressed symptoms associated with bipolar disorder and have varied rating systems. There are also few comparisons of symptom severity between Spanish and English speaking patients, due to limitations in available rating scales. METHODS We conducted psychometric assessment of the Spanish language Bipolar Inventory of Symptoms Scale (BISS) (N=71) for persons with bipolar disorder, which assesses 5 domains: mania, depression, irritability, anxiety and psychosis. The Spanish BISS scores were then compared to the MADRS (Montgomery Asberg Depression Rating Scale) and the YMRS (Young Mania Rating Scale) as well as to BISS scores in an English speaking sample (N=102) with bipolar disorder from the same geographic locations. RESULTS Chronbach's alphas for the Spanish BISS ranged from 0.6 to 0.93, with the psychosis domain displaying lower reliability. Correlations with the MADRS and YMRS were good and ranged from 0.70 to 0.88. The BISS differentiated well across mood states in English and Spanish versions, with mood state differentiated well using subscales and domains. For the irritability and anxiety domains, Spanish speaking participants had higher scores than English speakers across mood states. Females showed differences in symptom profiles compared to males. LIMITATIONS The sample sizes in the Spanish speaking manic group were small. The Spanish BISS, tested here primarily in patients of Mexican ancestry, may require revision in other Spanish language populations. CONCLUSIONS The Spanish BISS, a Spanish language symptom rating scale for bipolar disorder, demonstrates good reliability and validity. Clinical assessment in anxiety and irritability domains is particularly relevant in a Spanish speaking sample. Consistent with prior research, females report higher depression, irritability and anxiety scores irrespective of language spoken.
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Affiliation(s)
- Jodi Gonzalez Arnold
- University of Texas Health Science Center, Department of Psychiatry, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States.
| | - Cervando Martinez
- University of Texas Health Science Center, Department of Psychiatry, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Juan Zavala
- Texas Tech University Health Sciences Center, Department of Psychiatry, 5001 El Paso Drive, El Paso, TX 79905, United States
| | - Thomas J Prihoda
- University of Texas Health Science Center, Department of Pathology, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Michael Escamilla
- Texas Tech University Health Sciences Center, Department of Psychiatry, 5001 El Paso Drive, El Paso, TX 79905, United States
| | - Vivek Singh
- Texas Tech University Health Sciences Center, Department of Psychiatry, 5001 El Paso Drive, El Paso, TX 79905, United States
| | - Melissa Bazan
- University of Texas Health Science Center, Department of Psychiatry, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Marlon Quiñones
- Laurel Ridge Treatment Center, 17720 Corporate Woods Drive, San Antonio, TX 78259, United States
| | - Charles L Bowden
- University of Texas Health Science Center, Department of Psychiatry, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
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Reilly-Harrington NA, Sylvia LG, Rabideau DJ, Gold AK, Deckersbach T, Bowden CL, Bobo WV, Singh V, Calabrese JR, Shelton RC, Friedman ES, Thase ME, Kamali M, Tohen M, McInnis MG, McElroy SL, Ketter TA, Kocsis JH, Kinrys G, Nierenberg AA. Tracking medication changes to assess outcomes in comparative effectiveness research: A bipolar CHOICE study. J Affect Disord 2016; 205:159-164. [PMID: 27449548 DOI: 10.1016/j.jad.2016.07.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2016] [Revised: 05/23/2016] [Accepted: 07/02/2016] [Indexed: 01/21/2023]
Abstract
BACKGROUND Comparative effectiveness research uses multiple tools, but lacks outcome measures to assess large electronic medical records and claims data. Aggregate changes in medications in response to clinical need may serve as a surrogate outcome measure. We developed the Medication Recommendation Tracking Form (MRTF) to record the frequency, types, and reasons for medication adjustments in order to calculate Necessary Clinical Adjustments (NCAs), medication adjustments to reduce symptoms, maximize treatment response, or address problematic side effects. METHODS The MRTF was completed at every visit for 482 adult patients in Bipolar CHOICE, a 6-month randomized comparative effectiveness trial. RESULTS Responders had significantly fewer NCAs compared to non-responders. NCAs predicted subsequent response status such that every additional NCA during the previous visit decreased a patient's odds of response by approximately 30%. Patients with more severe symptoms had a greater number of NCAs at the subsequent visit. Patients with a comorbid anxiety disorder demonstrated a significantly higher rate of NCAs per month than those without a comorbid anxiety disorder. Patients with greater frequency, intensity, and interference of side effects had higher rates of NCAs. Participants with fewer NCAs reported a higher quality of life and decreased functional impairment. LIMITATIONS The MRTF has not been examined in community clinic settings and did not predict response more efficiently than the Clinical Global Impression-Bipolar Version (CGI-BP). CONCLUSIONS The MRTF is a feasible proxy of clinical outcome, with implications for clinical training and decision-making. Analyses of big data could use changes in medications as a surrogate outcome measure.
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Affiliation(s)
- Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Dustin J Rabideau
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, United States
| | - Alexandra K Gold
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, United States
| | - William V Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Vivek Singh
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, United States
| | - Joseph R Calabrese
- Bipolar Disorders Research Center, University Hospital's Case Medical Center, Case Western Reserve University, Cleveland, OH, United States
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Michael E Thase
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, United States
| | - Masoud Kamali
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico, Health Sciences Center, Albuquerque, NM, United States
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, United States; Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College of Cornell University, New York, NY, United States
| | - Gustavo Kinrys
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
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Tohen M, Mintz J, Bowden CL. Analysis of bipolar maintenance treatment with lithium versus olanzapine utilizing Multi-state Outcome Analysis of Treatments (MOAT). Bipolar Disord 2016; 18:282-7. [PMID: 27027886 DOI: 10.1111/bdi.12383] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2015] [Revised: 12/30/2015] [Accepted: 02/08/2016] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Survival analysis has superseded most other analytic techniques for maintenance treatment studies over recent decades, despite providing results based solely on a single time-point predefined event. The aim of the present study was to develop the Multi-state Outcome Analysis of Treatments (MOAT), to provide more pragmatic information for clinicians and investigators in guiding maintenance treatment decisions. The present study was one of two published studies on the development of MOAT procedures, involving a one-year comparison of olanzapine versus lithium in recently manic patients. METHODS MOAT partitions total survival time into clinically distinct periods that are operationally defined by cut points on established rating scales. For bipolar disorders, the clinical states are remission, subsyndromal and syndromal mania, mixed states, and subsyndromal and syndromal depression. RESULTS MOAT re-analyses of the clinical trial revealed clinically important findings not identified when utilizing Kaplan-Meier survival analyses. Compared to patients treated with lithium, patients taking olanzapine experienced significantly more time in subsyndromal depression. Patients taking lithium spent significantly more time in mixed states than did patients taking olanzapine. CONCLUSIONS MOAT provided detailed information on treatment outcomes that was not provided by Kaplan-Meier survival analysis. Its capability to identify and aggregate time in different clinical states of bipolar disorder may aid in identifying drug effects that are important in selecting and conducting maintenance treatment.
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Affiliation(s)
- Mauricio Tohen
- Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Jim Mintz
- Division of Mood and Anxiety Disorders, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Charles L Bowden
- Division of Mood and Anxiety Disorders, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
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39
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Reilly-Harrington NA, Shelton RC, Kamali M, Rabideau DJ, Shesler LW, Trivedi MH, McElroy SL, Sylvia LG, Bowden CL, Ketter TA, Calabrese JR, Thase ME, Bobo WV, Deckersbach T, Tohen M, McInnis MG, Kocsis JH, Gold AK, Singh V, Finkelstein DM, Kinrys G, Nierenberg AA. A tool to predict suicidal ideation and behavior in bipolar disorder: The Concise Health Risk Tracking Self-Report. J Affect Disord 2016; 192:212-8. [PMID: 26748736 PMCID: PMC9900871 DOI: 10.1016/j.jad.2015.12.036] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Revised: 12/11/2015] [Accepted: 12/27/2015] [Indexed: 02/08/2023]
Abstract
BACKGROUND Few brief, self-report measures exist that can reliably predict adverse suicidality outcomes in patients with BD. This study utilized the Concise Health Risk Tracking Self-Report (CHRT) to assess suicidality in patients with BD and examined its psychometric performance, clinical correlates, and prospective value in predicting adverse events related to suicidality. METHODS The CHRT was administered at baseline and follow-up to 482 adult patients in Bipolar CHOICE, a 6-month randomized comparative effectiveness trial. The Columbia Suicide Severity Rating Scale (CSSRS) was used at baseline to assess lifetime history of suicide attempts and related behaviors. Clinician-rated measures of mood (Bipolar Inventory of Symptoms Scale) and bipolar symptoms (Clinical Global Impressions-Bipolar Version) were conducted at baseline and follow-up. RESULTS The CHRT showed excellent internal consistency and construct validity and was highly correlated with clinician ratings of depression, anxiety, and overall functioning at baseline and throughout the study. Baseline CHRT scores significantly predicted risk of subsequent suicidality-related Serious Adverse Events (sSAEs), after controlling for mood and comorbidity. Specifically, the hazard of a sSAE increased by 76% for every 10-point increase in baseline CHRT score. Past history of suicide attempts and related behaviors, as assessed by the CSSRS, did not predict subsequent sSAEs. LIMITATIONS The CSSRS was used to assess static risk factors in terms of past suicidal behaviors and may have been a more powerful predictor over longer-term follow-up. CONCLUSIONS The CHRT offers a quick and robust self-report tool for assessing suicidal risk and has important implications for future research and clinical practice.
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Affiliation(s)
- Noreen A. Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA,Correspondence to: Massachusetts General Hospital, Department of Psychiatry, Bipolar Clinic & Research Program, 50 Staniford Street, Suite 580, Boston, MA 02114, USA. (N.A. Reilly-Harrington)
| | - Richard C. Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Masoud Kamali
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | | | - Leah W. Shesler
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Madhukar H. Trivedi
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Susan L. McElroy
- Lindner Center of HOPE, Mason, OH, USA,Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Louisa G. Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Charles L. Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Terence A. Ketter
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Joseph R. Calabrese
- Bipolar Disorders Research Center, University Hospital’s Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Michael E. Thase
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - William V. Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico, Health Sciences Center, Albuquerque, NM, USA
| | - Melvin G. McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - James H. Kocsis
- Department of Psychiatry, Weill Cornell Medical College of Cornell University, New York, NY, USA Article history:
| | - Alexandra K. Gold
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Vivek Singh
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | | | - Gustavo Kinrys
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Andrew A. Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
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40
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McElroy SL, Kemp DE, Friedman ES, Reilly-Harrington NA, Sylvia LG, Calabrese JR, Rabideau DJ, Ketter TA, Thase ME, Singh V, Tohen M, Bowden CL, Bernstein EE, Brody BD, Deckersbach T, Kocsis JH, Kinrys G, Bobo WV, Kamali M, McInnis MG, Leon AC, Faraone S, Nierenberg AA, Shelton RC. Obesity, but not metabolic syndrome, negatively affects outcome in bipolar disorder. Acta Psychiatr Scand 2016; 133:144-153. [PMID: 26114830 PMCID: PMC4844561 DOI: 10.1111/acps.12460] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/04/2015] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Examine the effects of obesity and metabolic syndrome on outcome in bipolar disorder. METHOD The Comparative Effectiveness of a Second Generation Antipsychotic Mood Stabilizer and a Classic Mood Stabilizer for Bipolar Disorder (Bipolar CHOICE) study randomized 482 participants with bipolar disorder in a 6-month trial comparing lithium- and quetiapine-based treatment. Baseline variables were compared between groups with and without obesity, with and without abdominal obesity, and with and without metabolic syndrome respectively. The effects of baseline obesity, abdominal obesity, and metabolic syndrome on outcomes were examined using mixed effects linear regression models. RESULTS At baseline, 44.4% of participants had obesity, 48.0% had abdominal obesity, and 27.3% had metabolic syndrome; neither obesity, nor abdominal obesity, nor metabolic syndrome were associated with increased global severity, mood symptoms, or suicidality, or with poorer functioning or life satisfaction. Treatment groups did not differ on prevalence of obesity, abdominal obesity, or metabolic syndrome. By contrast, among the entire cohort, obesity was associated with less global improvement and less improvement in total mood and depressive symptoms, suicidality, functioning, and life satisfaction after 6 months of treatment. Abdominal obesity was associated with similar findings. Metabolic syndrome had no effect on outcome. CONCLUSION Obesity and abdominal obesity, but not metabolic syndrome, were associated with less improvement after 6 months of lithium- or quetiapine-based treatment.
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Affiliation(s)
- Susan L McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH and Lindner Center of HOPE, Mason, OH, USA
| | - David E Kemp
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - Dustin J Rabideau
- Department of Biostatistics, Massachusetts General Hospital, Boston, MA, USA
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael E Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Vivek Singh
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Science Center, Albuquerque, NM, USA
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Emily E Bernstein
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Benjamin D Brody
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - Gustavo Kinrys
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - William V Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Masoud Kamali
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Andrew C. Leon
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - Stephen Faraone
- Department of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
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Bowden CL, Mintz J, Tohen M. Multi-state outcome analysis of treatments (MOAT): application of a new approach to evaluate outcomes in longitudinal studies of bipolar disorder. Mol Psychiatry 2016; 21:237-42. [PMID: 25778474 PMCID: PMC4573671 DOI: 10.1038/mp.2015.21] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2014] [Revised: 12/02/2014] [Accepted: 12/19/2014] [Indexed: 11/21/2022]
Abstract
Survival analyzes are usually based on a single point in time predefined event. Dissatisfied with this approach to evaluating maintenance treatment outcomes, we developed the Multi-state Outcome Analysis of Treatments (MOAT) methodology using a combined database from two FDA registration studies of lamotrigine, lithium and placebo. MOAT partitions total survival time into clinically distinct periods operationally defined by cutpoints on rating scales. For bipolar disorder (BD), the clinical states are remission, subsyndromal and syndromal mania, mixed states or depression. MOAT results can be crossed with information about tolerability and functioning to yield an outcome system integrating efficacy and tolerability. As found in the original analysis, both drugs were associated with longer time in study compared with the placebo. MOAT supplements this by finding that both drugs increased the time remitted compared with placebo. However, a substantial amount of time in all three treatments was spent in subsyndromal depression. Time with manic symptoms was reduced with lithium, but not lamotrigine. Patients on placebo neither benefitted nor had adverse effects from the assignment but experienced more syndromal levels of symptoms and were terminated from the study sooner than either drug treated group. Lithium was associated with both benefit in time manic and worse tolerability compared with placebo. In summary, lamotrigine was associated with limited therapeutic benefit but not harm; lithium with both benefit and harm; and placebo with neither. MOAT describes not only quantity but also quality of time spent in longitudinal studies, providing a more clinically informative picture than Kaplan-Meier survival analysis.
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Affiliation(s)
- C L Bowden
- Department of Psychiatry, Division of Mood and Anxiety Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA,Department of Psychiatry, 7703 Floyd Curl Dr, Division of Mood and Anxiety Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229-3900, USA. E-mail:
| | - J Mintz
- Department of Psychiatry, Division of Mood and Anxiety Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - M Tohen
- Department of Psychiatry, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
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Perugi G, Angst J, Azorin JM, Bowden CL, Caciagli A, Mosolov S, Vieta E, Young AH. Relationships between mixed features and borderline personality disorder in 2811 patients with major depressive episode. Acta Psychiatr Scand 2016; 133:133-143. [PMID: 26073759 DOI: 10.1111/acps.12457] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/26/2015] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The study focused on the relationship between mixed depression and borderline personality disorder (BPD). METHOD The sample comprised 2811 patients with a major depressive episode (MDE). Clinical characteristics were compared in patients with (BPD+) and without (BPD-) comorbid BPD and in BPD+ with (MXS+) and without (MXS-) mixed features according to DSM-5 criteria. RESULTS A total of 187 patients (6.7%) met the criteria for BPD. A DSM-IV-TR diagnosis of bipolar disorder (BD) was significantly more frequent in patients with BPD+ than in patients with BPD. Patients with BPD+ were significantly younger and reported lower age at onset than BPD-. Patients with BPD+ also showed more hypomania/mania in first-degree relatives in comparison with patients with BPD-, as well as more psychiatric comorbidity, mixed features, atypical features, suicide attempts, prior mood episodes and antidepressant-induced hypo/manic switches. Mixed features according to DSM-5 criteria were observed in 52 (27.8%) BPD+. In comparison with MXS-, MXS+ were significantly younger at age of onset and at prior mood episode and had experienced more mood episodes and hypo/manic switches with antidepressant treatments. CONCLUSION Major depressive episode patients with comorbid BPD reported a high prevalence of mixed features and BD. The presence of DSM-5 mixed features in MDE patients with BPD may be associated with complex course and reduced treatment response.
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Affiliation(s)
| | - J Angst
- Psychiatrische Universitätsklinik, Zürich, Switzerland
| | - J-M Azorin
- Hôpital Sainte-Marguerite, Marseille, France
| | - C L Bowden
- University of Texas Health Center, San Antonio, TX, USA
| | | | - S Mosolov
- Moscow Research Institute of Psychiatry, Moscow, Russia
| | - E Vieta
- Hospital Clinic at the University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
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Deckersbach T, Nierenberg AA, McInnis MG, Salcedo S, Bernstein EE, Kemp DE, Shelton RC, McElroy SL, Sylvia LG, Kocsis JH, Bobo WV, Friedman ES, Singh V, Tohen M, Bowden CL, Ketter TA, Calabrese JR, Thase ME, Reilly-Harrington NA, Rabideau DJ, Kinrys G, Kamali M. Baseline disability and poor functioning in bipolar disorder predict worse outcomes: results from the Bipolar CHOICE study. J Clin Psychiatry 2016; 77:100-8. [PMID: 26845265 DOI: 10.4088/jcp.14m09210] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2014] [Accepted: 03/13/2015] [Indexed: 10/22/2022]
Abstract
OBJECTIVE To examine the effects of treatment on functioning impairments and quality of life and assess baseline functioning and employment status as predictors of treatment response in symptomatic individuals from the Bipolar Clinical Health Outcomes Initiative in Comparative Effectiveness (Bipolar CHOICE) study. METHOD Bipolar CHOICE was an 11-site, 6-month randomized effectiveness study comparing lithium to quetiapine, each with adjunctive personalized treatments (APTs). We examined post hoc (1) the effects of treatment on functioning, (2) how changes in functioning differed between treatment responders and nonresponders, and (3) whether functioning and employment status mediated treatment response in 482 participants with DSM-IV-TR bipolar I or II disorder from September 2010 to September 2013. RESULTS Treatment was associated with significant improvements in functioning and quality of life, regardless of treatment group (P values < .0001). Responders showed greater improvements in quality of life (Quality of Life Enjoyment and Satisfaction Questionnaire P values < .05) and functioning (Longitudinal Interval Follow-up Evaluation-Range of Impaired Functioning Tool P values < .05) than nonresponders. Unemployed or disabled participants at baseline had significantly greater illness severity at baseline than employed participants (P values < .05). Over the study duration, employed participants reported greater improvements in physical health and quality of life in leisure activities than both unemployed and disabled participants (P values < .05). Individuals who saw greater improvement in functioning and quality of life tended to show greater improvements in depressive and anxiety symptoms (P values ≤ .0001), as well as overall illness severity (P values < .001). Early (8 weeks) and very early (4 weeks) clinical changes in mood symptoms predicted changes in functioning and quality of life at 6 months (P values < .001). CONCLUSIONS Prior disability status was associated with a worse treatment response and prospective illness course. Results implicate functioning and employment status as important markers of illness severity and likelihood of recovery in bipolar disorder, suggesting that interventions that target functional impairment may improve outcomes. TRIAL REGISTRATION ClinicalTrials.gov identifier for the Bipolar CHOICE study: NCT01331304.
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Affiliation(s)
- Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, 50 Staniford St, Ste 580, Boston, MA 02114
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Nierenberg AA, McElroy SL, Friedman ES, Ketter TA, Shelton RC, Deckersbach T, McInnis MG, Bowden CL, Tohen M, Kocsis JH, Calabrese JR, Kinrys G, Bobo WV, Singh V, Kamali M, Kemp D, Brody B, Reilly-Harrington NA, Sylvia LG, Shesler LW, Bernstein EE, Schoenfeld D, Rabideau DJ, Leon AC, Faraone S, Thase ME. Bipolar CHOICE (Clinical Health Outcomes Initiative in Comparative Effectiveness): a pragmatic 6-month trial of lithium versus quetiapine for bipolar disorder. J Clin Psychiatry 2016; 77:90-9. [PMID: 26845264 DOI: 10.4088/jcp.14m09349] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2014] [Accepted: 12/19/2014] [Indexed: 10/22/2022]
Abstract
BACKGROUND Bipolar disorder is among the 10 most disabling medical conditions worldwide. While lithium has been used extensively for bipolar disorder since the 1970s, second-generation antipsychotics (SGAs) have supplanted lithium since 1998. To date, no randomized comparative-effectiveness study has compared lithium and any SGA. METHOD Within the duration of the study (September 2010-September 2013), participants with bipolar I or II disorder (DSM-IV-TR) were randomized for 6 months to receive lithium (n = 240) or quetiapine (n = 242). Lithium and quetiapine were combined with other medications for bipolar disorder consistent with typical clinical practice (adjunctive personalized treatment [APT], excluding any SGA for the lithium + APT group and excluding lithium or any other SGA for the quetiapine + APT group). Coprimary outcome measures included Clinical Global Impressions-Efficacy Index (CGI-EI) and necessary clinical adjustments, which measured number of changes in adjunctive personalized treatment. Secondary measures included a full range of symptoms, cardiovascular risk, functioning, quality of life, suicidal ideation and behavior, and adverse events. RESULTS Participants improved across all measures, and over 20% had a sustained response. Primary (CGI-EI, P = .59; necessary clinical adjustments, P = .15) and secondary outcome changes were not statistically significantly different between the 2 groups. For participants with greater manic/hypomanic symptoms, CGI-EI changes were significantly more favorable with quetiapine + APT (P = .02). Among those with anxiety, the lithium + APT group had fewer necessary clinical adjustments per month (P = .02). Lithium was better tolerated than quetiapine in terms of the burden of side effects frequency (P = .05), intensity (P = .01), and impairment (P = .01). CONCLUSIONS Despite adequate power to detect clinically meaningful differences, we found outcomes with lithium + APT and quetiapine + APT were not significantly different across 6 months of treatment for bipolar disorder. TRIAL REGISTRATION ClinicalTrials.gov identifier for the Bipolar CHOICE study: NCT01331304.
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Ostacher MJ, Nierenberg AA, Rabideau D, Reilly-Harrington NA, Sylvia LG, Gold AK, Shesler LW, Ketter TA, Bowden CL, Calabrese JR, Friedman ES, Iosifescu DV, Thase ME, Leon AC, Trivedi MH. A clinical measure of suicidal ideation, suicidal behavior, and associated symptoms in bipolar disorder: Psychometric properties of the Concise Health Risk Tracking Self-Report (CHRT-SR). J Psychiatr Res 2015; 71:126-33. [PMID: 26476489 PMCID: PMC6778403 DOI: 10.1016/j.jpsychires.2015.10.004] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Revised: 08/11/2015] [Accepted: 10/01/2015] [Indexed: 12/11/2022]
Abstract
OBJECTIVE People with bipolar disorder are at high risk of suicide, but no clinically useful scale has been validated in this population. The aim of this study was to evaluate the psychometric properties in bipolar disorder of the 7- and 12-item versions of the Concise Health Risk Tracking Self-Report (CHRT-SR), a scale measuring suicidal ideation, suicidal behavior, and associated symptoms. METHODS The CHRT was administered to 283 symptomatic outpatients with bipolar I or II disorder who were randomized to receive lithium plus optimized personalized treatment (OPT), or OPT without lithium in a six month longitudinal comparative effectiveness trial. Participants were assessed using structured diagnostic interviews, clinician-rated assessments, and self-report questionnaires. RESULTS The internal consistency (Cronbach α) was 0.80 for the 7-item CHRT-SR and 0.90 for the 12-item CHRT-SR with a consistent factor structure, and three independent factors (current suicidal thoughts and plans, hopelessness, and perceived lack of social support) for the 7-item version. CHRT-SR scores are correlated with measures of depression, functioning, and quality of life, but not with mania scores. CONCLUSIONS The 7- and 12-item CHRT-SR both had excellent psychometric properties in a sample of symptomatic subjects with bipolar disorder. The scale is highly correlated with depression, functioning, and quality of life, but not with mania. Future research is needed to determine whether the CHRT-SR will be able to predict suicide attempts in clinical practice.
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Affiliation(s)
- Michael J. Ostacher
- VA Palo Alto Health Care System, Palo Alto, CA, USA,Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA,Corresponding author. VA Palo Alto Health Care System 3801 Miranda Ave, Mail Code 151-T Palo Alto, CA 94304, USA. (M.J. Ostacher)
| | - Andrew A. Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Dustin Rabideau
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA
| | - Noreen A. Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Louisa G. Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Alexandra K. Gold
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Leah W. Shesler
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Terence A. Ketter
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Charles L. Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Joseph R. Calabrese
- Bipolar Disorders Research Center, University Hospital’s Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Edward S. Friedman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dan V. Iosifescu
- Department of Psychiatry, Icahn School of medicine at Mount Sinai, New York, NY, USA
| | - Michael E. Thase
- Department of Psychiatry, University of Pennsylvania School of Medicine, USA
| | - Andrew C. Leon
- Biostatistics in Psychiatry & Public Health, Weill Cornell Medical College, New York, NY, USA
| | - Madhukar H. Trivedi
- Department of Psychiatry, The University of Texas Southwestern Medical Center, USA
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Bowden CL. Common sources of disparate results and experience in clinical practice vs. results from phase 2 registration studies: lamotrigine as a prototype. Acta Psychiatr Scand 2015; 132:355-6. [PMID: 25968405 DOI: 10.1111/acps.12436] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- C L Bowden
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
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Popovic D, Vieta E, Azorin JM, Angst J, Bowden CL, Mosolov S, Young AH, Perugi G. Suicide attempts in major depressive episode: evidence from the BRIDGE-II-Mix study. Bipolar Disord 2015; 17:795-803. [PMID: 26415692 DOI: 10.1111/bdi.12338] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2015] [Accepted: 08/21/2015] [Indexed: 11/30/2022]
Abstract
OBJECTIVES The Bipolar Disorders: Improving Diagnosis, Guidance, and Education (BRIDGE-II-Mix) study aimed to estimate the frequency of mixed states in patients with a major depressive episode (MDE) according to different definitions and to compare their clinical validity, looking into specific features such as suicidality. METHODS A total of 2,811 subjects were enrolled in this multicenter cross-sectional study. Psychiatric symptoms, and sociodemographic and clinical variables were collected. The analysis compared the characteristics of patients with MDE with (MDE-SA group) and without (MDE-NSA) a history of suicide attempts. RESULTS The history of suicide attempts was registered in 628 patients (22.34%). In the MDE-SA group, women (72.5%, p = 0.028), (hypo)mania in first-degree relatives (20.5%, p < 0.0001), psychotic features (15.1%, p < 0.0001), and atypical features (9.2%, p = 0.009) were more prevalent. MDE-SA patients' previous responses to treatment with antidepressants included more (hypo)manic switches [odds ratio (OR) = 1.97, 95% confidence interval (CI): 1.58-2.44, p < 0.0001], treatment resistance (OR = 2.07, 95% CI: 1.72-2.49, p < 0.0001), mood lability (OR = 1.98, 95% CI: 1.65-2.39, p < 0.0001), and irritability (OR = 1.80, 95% CI: 1.48-2.17, p < 0.0001). Multivariate analysis evidenced that risky behavior, psychomotor agitation and impulsivity, and borderline personality and substance use disorders were the variables most frequently associated with previous suicide attempts. In the MDE-SA group, 75 patients (11.9%) fulfilled Diagnostic and Statistical Manual (DSM)-5 criteria for MDE with mixed features, and 250 patients (39.8%) fulfilled research-based diagnostic criteria for a mixed depressive episode. CONCLUSIONS Important differences between MDE-SA and MDE-NSA patients have emerged. Early identification of symptoms such as risky behavior, psychomotor agitation, and impulsivity in patients with MDE, and treatment of mixed depressive states could represent a major step in suicide prevention.
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Affiliation(s)
- Dina Popovic
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | | | - Jules Angst
- Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | | | | | | | - Giulio Perugi
- Dipartmento di Medicina Sperimentale, Clinica Psichiatrica, University of Pisa, Pisa, Italy
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Abstract
INTRODUCTION The proportion of time that bipolar patients experience depressive symptoms and clinical states, with associated psychosocial impairment and elevated risk of suicide, is significantly greater than the time spent in manic/hypomanic forms of bipolar disorders. Yet, manic states and symptoms have been the focus and interest of most clinical research over the past quarter century. Not a single antidepressant approved for treatment of major depressive disorder, as monotherapy, has received regulatory approval for treatment of bipolar depression as monotherapy, despite their common use in bipolar depression. AREAS COVERED We reviewed randomized studies, particularly ones initially intended for registration purposes, and systematic treatment guidelines, in development of this guide to treatment decision and implementation of interventions for depression in bipolar disorders. EXPERT OPINION The Expert Opinion section emphasizes strategies, not individual agents. The efficacious performance of mood stabilizers and second-generation antipsychotics as a component of the strategy is strongly supported by published studies. However, this section relies largely on secondary publications and our combined clinical experience, as few randomized, blinded studies have had, as their focus, the comparison of combined regimens for depression. This article summarizes the design features and results of studies dealing with depressive features and intervention strategies for bipolar disorders. The emphasis of the recommendations is on pragmatic treatment decisions that clinicians can make to enhance the probability of both short and long term benefits for patients.
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Affiliation(s)
- Charles L Bowden
- a Clinical Professor of Psychiatry and Pharmacology , University of Texas Health Science Center at San Antonio , San Antonio , TX , USA
| | - Vivek Singh
- b Professor and Chairman for Department of Psychiatry, Paul L. Foster School of Medicine , Texas Tech University Health Sciences Center , El Paso , TX , USA
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Arnold JG, Salcedo S, Ketter TA, Calabrese JR, Rabideau DJ, Nierenberg AA, Bazan M, Leon AC, Friedman ES, Iosifescu D, Sylvia LG, Ostacher M, Thase M, Reilly-Harrington NA, Bowden CL. An exploratory study of responses to low-dose lithium in African Americans and Hispanics. J Affect Disord 2015; 178:224-8. [PMID: 25827507 PMCID: PMC4397978 DOI: 10.1016/j.jad.2015.02.035] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2014] [Accepted: 02/19/2015] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Few prospective studies examine the impact of ethnicity or race on outcomes with lithium for bipolar disorder. This exploratory study examines differences in lithium response and treatment outcomes in Hispanics, African Americans, and non-Hispanic whites with bipolar disorder in the Lithium Treatment Moderate Dose Use Study (LiTMUS). METHODS LiTMUS was a six-site randomized controlled trial of low-dose lithium added to optimized treatment (OPT; personalized, evidence-based pharmacotherapy) vs. OPT alone in outpatients with bipolar disorder. Of 283 participants, 47 African Americans, 39 Hispanics, and 175 non-Hispanic whites were examined. We predicted minority groups would have more negative medication attitudes and higher attrition rates, but better clinical outcomes. RESULTS African Americans in the lithium group improved more on depression and life functioning compared to whites over the 6 month study. African Americans in the OPT only group had marginal improvement on depression symptoms. For Hispanics, satisfaction with life did not significantly improve in the OPT only group, in contrast to whites and African Americans who improved over time on all measures. Attitudes toward medications did not differ across ethnic/racial groups. CONCLUSIONS African Americans show some greater improvements with lithium than non-Hispanic whites, and Hispanics showed more consistent improvements in the lithium group. The impact of low-dose lithium should be studied in a larger sample as there may be particular benefit for African Americans and Hispanics. Given that the control group (regardless of ethnicity/race) had significant improvements, optimized treatment may be beneficial for any ethnic group.
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Affiliation(s)
| | - Stephanie Salcedo
- Massachusetts General Hospital - Bipolar Clinic and Research Program
| | | | | | | | | | - Melissa Bazan
- University of Texas Health Science Center San Antonio
| | - Andrew C. Leon
- Massachusetts General Hospital - Bipolar Clinic and Research Program
| | | | | | - Louisa G. Sylvia
- Massachusetts General Hospital - Bipolar Clinic and Research Program
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Sylvia LG, Thase ME, Reilly-Harrington NA, Salcedo S, Brody B, Kinrys G, Kemp D, Shelton RC, McElroy SL, Kocsis JH, Bobo WV, Kamali M, McInnis M, Friedman E, Tohen M, Bowden CL, Ketter TA, Singh V, Calabrese J, Nierenberg AA, Rabideau DJ, Elson CM, Deckersbach T. Psychotherapy use in bipolar disorder: Association with functioning and illness severity. Aust N Z J Psychiatry 2015; 49:453-61. [PMID: 25680360 DOI: 10.1177/0004867415569803] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE This study examines characteristics of individuals with bipolar disorder who sought psychotherapy versus those who did not. METHODS Bipolar CHOICE was an 11-site comparative effectiveness study of lithium versus quetiapine in symptomatic outpatients (N = 482) with bipolar disorder. At baseline, participants' psychotherapy use within the past 3 months, mood, functioning, and overall health were assessed. Logistic regressions were used to test whether psychotherapy users and non-users differed on various demographic and clinical variables at baseline. Mixed-effects regression was used to determine whether psychotherapy groups differed on response to treatment over the 6-month study. Kaplan-Meier plots and log-rank tests were employed to test whether there were any differences in time to recovery (CGI-BP ≤ 2 for at least 8 weeks) between the groups. RESULTS Thirty one percent of participants reported using psychotherapy services. Psychotherapy users reported greater medication side effect burden than non-users and were more likely to have moderate to high suicide risk and at least one anxiety disorder. Participants not utilizing medications or psychotherapy had greater mania symptom severity, were younger, and less educated than medication only users. Medication only users were more likely to be married than the other participants. CONCLUSIONS These data suggest that a minority of individuals with bipolar disorder attend psychotherapy services, and those that do have greater illness burden.
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Affiliation(s)
- Louisa G Sylvia
- Massachusetts General Hospital, Boston, USA Harvard Medical School, Boston, USA
| | | | | | | | | | - Gustavo Kinrys
- Massachusetts General Hospital, Boston, USA Harvard Medical School, Boston, USA
| | - David Kemp
- Case Western Reserve University, Cleveland, USA
| | | | - Susan L McElroy
- The Lindner Center of HOPE, Mason, Ohio and University of Cincinnati College of Medicine, Cincinnati, USA
| | | | | | | | | | | | - Mauricio Tohen
- University of New Mexico, Health Sciences Center, Albuquerque, USA
| | | | | | - Vivek Singh
- University of Texas Health Science, San Antonio, USA
| | | | - Andrew A Nierenberg
- Massachusetts General Hospital, Boston, USA Harvard Medical School, Boston, USA
| | | | | | - Thilo Deckersbach
- Massachusetts General Hospital, Boston, USA Harvard Medical School, Boston, USA
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