1
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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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2
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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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3
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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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4
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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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5
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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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6
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Young KD, Friedman ES, Collier A, Berman SR, Feldmiller J, Haggerty AE, Thase ME, Siegle GJ. Response to SSRI intervention and amygdala activity during self-referential processing in major depressive disorder. Neuroimage Clin 2020; 28:102388. [PMID: 32871385 PMCID: PMC7476063 DOI: 10.1016/j.nicl.2020.102388] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 01/20/2023]
Abstract
Examined whether SSRIs normalize amygdala activity or dampen responsiveness. Responders and non-responders did not differ in amygdala activity prior to treatment. SSRI responders had increased amygdala activation to positive stimuli after treatment. SSRI responders also had decreased amygdala activation to negative stimuli after treatment.
There are conflicting reports on the impact of antidepressants on neural reactions for positive information. We thus hypothesized that there would be clinically important individual differences in neural reactivity to positive information during SSRI therapy. We further predicted that only those who responded to SSRIs would show increased amygdala reactivity to positive information following treatment to a level similar to that seen in healthy participants. Depressed individuals (n = 17) underwent fMRI during performance of a task involving rating the self-relevance of emotionally positive and negative cue words before and after receiving 12 weeks of SSRI therapy. At post-treatment, SSRI responders (n = 11) had increased amygdala activity in response to positive stimuli, and decreased activity in response to negative stimuli, compared to non-responders (n = 6). Results suggest that normalizing amygdala responses to salient information is a correlate of SSRI efficacy. Second line interventions that modulate amygdala activity, such as fMRI neurofeedback, may be beneficial in those who do not respond to SSRI medications.
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Affiliation(s)
- Kymberly D Young
- University of Pittsburgh School of Medicine, Pittsburgh, 15213 PA, USA.
| | - Edward S Friedman
- University of Pittsburgh School of Medicine, Pittsburgh, 15213 PA, USA
| | - Amanda Collier
- University of Pittsburgh Medical Center, Pittsburgh, 15213 PA, USA
| | | | | | - Agnes E Haggerty
- University of Miami Miller School of Medicine, Miami, 33136 FL, USA
| | - Michael E Thase
- University of Pennsylvania School of Medicine, Philadelphia, 19104 PA, USA
| | - Greg J Siegle
- University of Pittsburgh School of Medicine, Pittsburgh, 15213 PA, USA
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7
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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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8
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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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9
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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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10
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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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11
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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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12
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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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13
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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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14
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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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15
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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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16
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Sylvia LG, Montana RE, Deckersbach T, Thase ME, Tohen M, Reilly-Harrington N, McInnis MG, Kocsis JH, Bowden C, Calabrese J, Gao K, Ketter T, Shelton RC, McElroy SL, Friedman ES, Rabideau DJ, Nierenberg AA. Poor quality of life and functioning in bipolar disorder. Int J Bipolar Disord 2017; 5:10. [PMID: 28188565 PMCID: PMC5366290 DOI: 10.1186/s40345-017-0078-4] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [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: 07/29/2016] [Accepted: 01/20/2017] [Indexed: 12/16/2022] Open
Abstract
Background This study explores the association of demographic and clinical features with quality of life and functioning in individuals with bipolar disorder. Methods Adult participants (N = 482) with bipolar I or II disorder were enrolled in a comparative effectiveness study across eleven study sites and completed baseline measures of medical and psychiatric history, current mood, quality of life, and functioning. Participants with at least mildly depressive or manic/hypomanic symptomatic severity were randomized to receive lithium or quetiapine in addition to adjunctive personalized treatment for 6 months. Results Participants with more severe depressive and irritability symptoms had lower quality of life and higher functional impairment. All psychiatric comorbid conditions except substance use disorder were associated with worse quality of life. On average, females had lower quality of life than males. Patients who were married, living as married, divorced, or separated had worse functional impairment compared with patients who were single or never married. A composite score of social disadvantage was associated with worse functioning and marginally associated with worse quality of life. Symptom severity did not moderate the effect of social disadvantage on quality of life or functioning. Conclusions Our findings highlight that depression, irritability, and psychiatric comorbid conditions negatively impact quality of life and functioning in bipolar disorder. The study suggests that individuals with social disadvantage are at risk for functional impairment. Trial Registration This study is registered with ClinicalTrials.gov. Identification number: NCT01331304
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Affiliation(s)
- Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, 02114, USA. .,Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA.
| | - Rebecca E Montana
- Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, 02114, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, 02114, USA.,Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA
| | - Michael E Thase
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Maurcio Tohen
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Health Sciences Center, Albuquerque, NM, USA
| | - Noreen Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, 02114, USA.,Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medicine, New York City, NY, USA
| | - Charles Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Joseph Calabrese
- Bipolar Disorders Research Center, University Hospital's Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Keming Gao
- Bipolar Disorders Research Center, University Hospital's Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Terence Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama Birmingham School of Medicine, Birmingham, AL, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA.,Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Dustin J Rabideau
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, 02114, USA.,Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA
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17
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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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18
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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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Abstract
Background: Nonsteroidal anti-inflammatory drugs (NSAIDs) have been an important therapy in the treatment of a large number of cutaneous pathologies for more than three decades. Objective: In this retrospective review, we document the use of NSAIDs in more than 15 common and uncommon dermatoses, including acne, psoriasis, sunburn, erythema nodosum, cryoglobulinemia, Sweet's syndrome, systemic mastocytosis, as well as urticarial, livedoid, and nodular vasculitis. NSAIDs act mainly by inhibiting prostaglandin synthesis by the cyclooxygenase (COX) pathway. Conclusion: Recent studies link prostaglandin to cutaneous carcinogenesis, thus expanding the dermatologic use of NSAIDs. They may be effective in the treatment and prevention of non-melanoma skin cancer, and specific COX-2 inhibitors promise safer, broader, long-term use of these pharmacologically innovative drugs.
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Affiliation(s)
- Edward S. Friedman
- Department of Dermatology, Columbia-Presbyterian Medical Center, New York, New York
| | - Nicole LaNatra
- Department of Dermatology, Columbia-Presbyterian Medical Center, New York, New York
| | - Matthew J. Stiller
- Department of Dermatology, Columbia-Presbyterian Medical Center, New York, New York
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20
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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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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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22
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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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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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25
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Sylvia LG, Shelton RC, Kemp DE, Bernstein EE, Friedman ES, Brody BD, McElroy SL, Singh V, Tohen M, Bowden CL, Ketter TA, Deckersbach T, Thase ME, Reilly-Harrington NA, Nierenberg AA, Rabideau DJ, Kinrys G, Kocsis JH, Bobo WV, Kamali M, McInnis MG, Calabrese JR. Medical burden in bipolar disorder: findings from the Clinical and Health Outcomes Initiative in Comparative Effectiveness for Bipolar Disorder study (Bipolar CHOICE). Bipolar Disord 2015; 17:212-23. [PMID: 25130321 DOI: 10.1111/bdi.12243] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [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: 10/09/2013] [Accepted: 04/15/2014] [Indexed: 01/30/2023]
Abstract
OBJECTIVES Individuals with bipolar disorder have high rates of other medical comorbidity, which is associated with higher mortality rates and worse course of illness. The present study examined common predictors of medical comorbidity. METHODS The Clinical and Health Outcomes Initiative in Comparative Effectiveness for Bipolar Disorder study (Bipolar CHOICE) enrolled 482 participants with bipolar I or bipolar II disorder in a six-month, randomized comparative effectiveness trial. Baseline assessments included current and lifetime DSM-IV-TR diagnoses, demographic information, psychiatric and medical history, severity of psychiatric symptoms, level of functioning, and a fasting blood draw. Medical comorbidities were categorized into two groups: cardiometabolic (e.g., diabetes, hyperlipidemia, and metabolic syndrome) and non-cardiovascular (e.g., seizures, asthma, and cancer). Additionally, we looked at comorbid substance use (e.g., smoking and drug dependence). RESULTS We found that 96.3% of participants had at least one other medical comorbidity. Older age predicted a greater likelihood of having a cardiometabolic condition. Early age of onset of bipolar symptoms was associated with a lower chance of having a cardiometabolic condition, but a greater chance of having other types of medical comorbidity. Additional predictors of other medical comorbidities in bipolar disorder included more time spent depressed, less time spent manic/hypomanic, and longer duration of illness. Medications associated with weight gain were associated with low high-density lipoprotein and abnormal triglycerides. CONCLUSIONS There appears to be a substantial medical burden associated with bipolar disorder, highlighting the need for collaborative care among psychiatric and general medical providers to address both psychiatric and other medical needs concomitantly in this group of patients.
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Affiliation(s)
- Louisa G Sylvia
- Bipolar Clinic and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA
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26
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Sylvia LG, Rabideau DJ, Nierenberg AA, Bowden CL, Friedman ES, Iosifescu DV, Thase ME, Ketter T, Greiter EA, Calabrese JR, Leon AC, Ostacher MJ, Reilly-Harrington N. The effect of personalized guideline-concordant treatment on quality of life and functional impairment in bipolar disorder. J Affect Disord 2014; 169:144-8. [PMID: 25194782 PMCID: PMC4172551 DOI: 10.1016/j.jad.2014.08.019] [Citation(s) in RCA: 12] [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] [Received: 07/22/2014] [Accepted: 08/12/2014] [Indexed: 10/24/2022]
Abstract
OBJECTIVES The aims of this study were to evaluate correlates and predictors of life functioning and quality of life in bipolar disorder during a comparative effectiveness trial of moderate doses of lithium. METHODS In the Lithium treatment moderate-dose use study (LiTMUS), 283 symptomatic outpatients with bipolar disorder type I or II were randomized to receive lithium plus "optimal personalized treatment (OPT)", or OPT alone. Participants were assessed using structured diagnostic interviews, clinician-rated blinded assessments, and questionnaires. We employ linear mixed effects models to test the effect of treatment overall and adjunct lithium specifically on quality of life or functioning. Similar models are used to examine the association of baseline demographics and clinical features with quality of life and life functioning. RESULTS Quality of life and impaired functioning at baseline were associated with lower income, higher depressive severity, and more psychiatric comorbid conditions. Over 6 months, patients in both treatment groups improved in quality of life and life functioning (p-Values<0.0001); without a statistically significant difference between the two treatment groups (p-Values>0.05). Within the lithium group, improvement in quality of life and functioning was not associated with concurrent lithium levels at week 12 or week 24 (p-Values>0.05). Lower baseline depressive severity and younger age of onset predicted less improvement in functioning over 6 months. CONCLUSIONS Optimized care for bipolar disorder improves overall quality of life and life functioning, with no additional benefit from adjunct moderate doses of lithium. Illness burden and psychosocial stressors were associated with worse quality of life and lower functioning in individuals with bipolar disorder.
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27
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Horner MS, Siegle GJ, Schwartz RM, Price RB, Haggerty AE, Collier A, Friedman ES. C'mon get happy: reduced magnitude and duration of response during a positive-affect induction in depression. Depress Anxiety 2014; 31:952-60. [PMID: 24643964 PMCID: PMC4422486 DOI: 10.1002/da.22244] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [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] [Received: 03/18/2013] [Revised: 12/24/2013] [Accepted: 01/07/2014] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Depression involves decreased positive affect. Whether this is due to a failure to achieve or maintain positive emotion in response to discrete stimuli is unclear. Understanding the nature of decreased positive affect could help to address how to intervene in the phenomenon, for example, how to structure interventions using positive and rewarding stimuli in depression. Thus, we examined the time course of affect following exposure to positive stimuli in depressed and healthy individuals. METHODS Seventy-one adults with major depressive disorder and thirty-four never-depressed controls read a self-generated highly positive script and continuously rated their affect for 7 min. RESULTS Both groups quickly achieved increased positive affect, however, compared to controls, depressed participants did not achieve the same level of positive affect, did not maintain their positive affect, spent less time rating their affect as happy, and demonstrated larger drops in mood. CONCLUSIONS These data indicate that depressed and nondepressed individuals can generate positive reactions to happy scripts, but depressed individuals cannot achieve or sustain equivalent levels of positive affect. Interventions for depression might fruitfully focus on increasing depressed individuals' ability to maintain initial engagement with positive stimuli over a sustained period of time.
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Affiliation(s)
- Michelle S. Horner
- Western Psychiatric Institute and Clinic; University of Pittsburgh School of Medicine; Pittsburgh Pennsylvania
| | - Greg J. Siegle
- Western Psychiatric Institute and Clinic; University of Pittsburgh School of Medicine; Pittsburgh Pennsylvania
| | - Robert M. Schwartz
- Western Psychiatric Institute and Clinic; University of Pittsburgh School of Medicine; Pittsburgh Pennsylvania
| | - Rebecca B. Price
- Western Psychiatric Institute and Clinic; University of Pittsburgh School of Medicine; Pittsburgh Pennsylvania
| | - Agnes E. Haggerty
- Western Psychiatric Institute and Clinic; University of Pittsburgh School of Medicine; Pittsburgh Pennsylvania
| | - Amanda Collier
- Western Psychiatric Institute and Clinic; University of Pittsburgh School of Medicine; Pittsburgh Pennsylvania
| | - Edward S. Friedman
- Western Psychiatric Institute and Clinic; University of Pittsburgh School of Medicine; Pittsburgh Pennsylvania
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28
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Bobo WV, Reilly-Harrington NA, Ketter TA, Brody BD, Kinrys G, Kemp DE, Shelton RC, McElroy SL, Sylvia LG, Kocsis JH, McInnis MG, Friedman ES, Singh V, Tohen M, Bowden CL, Deckersbach T, Calabrese JR, Thase ME, Nierenberg AA, Rabideau DJ, Schoenfeld DA, Faraone SV, Kamali M. Effect of adjunctive benzodiazepines on clinical outcomes in lithium- or quetiapine-treated outpatients with bipolar I or II disorder: results from the Bipolar CHOICE trial. J Affect Disord 2014; 161:30-5. [PMID: 24751304 PMCID: PMC4113323 DOI: 10.1016/j.jad.2014.02.046] [Citation(s) in RCA: 12] [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] [Received: 02/13/2014] [Accepted: 02/28/2014] [Indexed: 11/16/2022]
Abstract
BACKGROUND Little is known about the longer-term effects of adjunctive benzodiazepines on symptom response during treatment in patients with bipolar disorders. METHODS The study sample consisted of 482 patients with bipolar I or II disorder enrolled in a 6-month, randomized, multi-site comparison of lithium- and quetiapine-based treatment. Changes in clinical measures (BISS total and subscales, CGI-BP, and CGI-Efficacy Index) were compared between participants who did and did not receive benzodiazepine treatment at baseline or during follow-up. Selected outcomes were also compared between patients who did and did not initiate benzodiazepines during follow-up using stabilized inverse probability weighted analyses. RESULTS Significant improvement in all outcome measures occurred within each benzodiazepine exposure group. Benzodiazepine users (at baseline or during follow-up) experienced significantly less improvement in BISS total, BISS irritability, and CGI-BP scores than did benzodiazepine non-users. There were no significant differences in these measures between patients who did and did not initiate benzodiazepines during follow-up in the weighted analyses. There was no significant effect of benzodiazepine use on any outcome measure in patients with comorbid anxiety or substance use disorders. LIMITATIONS This is a secondary analysis of data from a randomized effectiveness trial that was not designed to address differential treatment response according to benzodiazepine use. CONCLUSIONS Adjunctive benzodiazepines may not significantly affect clinical outcome in lithium- or quetiapine-treated patients with bipolar I or II disorder over 6 months, after controlling for potential confounding factors.
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Affiliation(s)
- William V. Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA,Correspondence to: William V. Bobo, MD, MPH, 200 First Street SW, Generose 2A, Rochester, MN 55904, , Telephone: 507-255-9412
| | | | | | - Benjamin D. Brody
- Weill Cornell Medical College of Cornell University, New York, NY, USA
| | | | - David E. Kemp
- Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Richard C. Shelton
- University of Alabama-Birmingham School of Medicine, Birmingham, AL, USA
| | - Susan L. McElroy
- Lindner Center for HOPE, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - James H. Kocsis
- Weill Cornell Medical College of Cornell University, New York, NY, USA
| | | | | | - Vivek Singh
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Mauricio Tohen
- University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Charles L. Bowden
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | | | | | - Michael E. Thase
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | - Stephen V. Faraone
- Upstate Medical University, State University of New York, Syracuse, NY, USA
| | - Masoud Kamali
- University of Michigan School of Medicine, Ann Arbor, MI, USA
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Rabideau DJ, Nierenberg AA, Sylvia LG, Friedman ES, Bowden CL, Thase ME, Ketter TA, Ostacher MJ, Reilly-Harrington N, Iosifescu DV, Calabrese JR, Leon AC, Schoenfeld DA. A novel application of the Intent to Attend assessment to reduce bias due to missing data in a randomized controlled clinical trial. Clin Trials 2014; 11:494-502. [PMID: 24872362 DOI: 10.1177/1740774514531096] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Missing data are unavoidable in most randomized controlled clinical trials, especially when measurements are taken repeatedly. If strong assumptions about the missing data are not accurate, crude statistical analyses are biased and can lead to false inferences. Furthermore, if we fail to measure all predictors of missing data, we may not be able to model the missing data process sufficiently. In longitudinal randomized trials, measuring a patient's intent to attend future study visits may help to address both of these problems. Leon et al. developed and included the Intent to Attend assessment in the Lithium Treatment - Moderate dose Use Study (LiTMUS), aiming to remove bias due to missing data from the primary study hypothesis. PURPOSE The purpose of this study is to assess the performance of the Intent to Attend assessment with regard to its use in a sensitivity analysis of missing data. METHODS We fit marginal models to assess whether a patient's self-rated intent predicted actual study adherence. We applied inverse probability of attrition weighting (IPAW) coupled with patient intent to assess whether there existed treatment group differences in response over time. We compared the IPAW results to those obtained using other methods. RESULTS Patient-rated intent predicted missed study visits, even when adjusting for other predictors of missing data. On average, the hazard of retention increased by 19% for every one-point increase in intent. We also found that more severe mania, male gender, and a previously missed visit predicted subsequent absence. Although we found no difference in response between the randomized treatment groups, IPAW increased the estimated group difference over time. LIMITATIONS LiTMUS was designed to limit missed study visits, which may have attenuated the effects of adjusting for missing data. Additionally, IPAW can be less efficient and less powerful than maximum likelihood or Bayesian estimators, given that the parametric model is well specified. CONCLUSIONS In LiTMUS, the Intent to Attend assessment predicted missed study visits. This item was incorporated into our IPAW models and helped reduce bias due to informative missing data. This analysis should both encourage and facilitate future use of the Intent to Attend assessment along with IPAW to address missing data in a randomized trial.
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Affiliation(s)
- 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
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA
| | - Edward S Friedman
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Michael E Thase
- Department of Psychiatry, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Michael J Ostacher
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Noreen Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA
| | - Dan V Iosifescu
- Department of Psychiatry, Mount Sinai School of Medicine, New York, USA
| | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, School of Medicine, Cleveland, OH, USA
| | - Andrew C Leon
- Psychiatry and Public Health, Weill Cornell Medical College, New York, USA
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Sylvia LG, Reilly-Harrington NA, Leon AC, Kansky CI, Calabrese JR, Bowden CL, Ketter TA, Friedman ES, Iosifescu DV, Thase ME, Ostacher MJ, Keyes M, Rabideau D, Nierenberg AA. Medication adherence in a comparative effectiveness trial for bipolar disorder. Acta Psychiatr Scand 2014; 129:359-65. [PMID: 24117232 PMCID: PMC3975824 DOI: 10.1111/acps.12202] [Citation(s) in RCA: 28] [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] [Accepted: 09/04/2013] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Psychopharmacology remains the foundation of treatment for bipolar disorder, but medication adherence in this population is low (range 20-64%). We examined medication adherence in a multisite, comparative effectiveness study of lithium. METHOD The Lithium Moderate Dose Use Study (LiTMUS) was a 6-month, six-site, randomized effectiveness trial of adjunctive moderate dose lithium therapy compared with optimized treatment in adult out-patients with bipolar I or II disorder (N=283). Medication adherence was measured at each study visit with the Tablet Routine Questionnaire. RESULTS We found that 4.50% of participants reported missing at least 30% of their medications in the past week at baseline and non-adherence remained low throughout the trial (<7%). Poor medication adherence was associated with more manic symptoms and side-effects as well as lower lithium serum levels at mid- and post-treatment, but not with poor quality of life, overall severity of illness, or depressive symptoms. CONCLUSION Participants in LiTMUS were highly adherent with taking their medications. The lack of association with possible predictors of adherence, such as depression and quality of life, could be explained by the limited variance or other factors as well as by not using an objective measure of adherence.
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Affiliation(s)
- Louisa G. Sylvia
- Massachusetts General Hospital, Boston, MA USA,Corresponding author: Louisa G. Sylvia, PhD, 50 Staniford St, Suite 580, Boston, MA, , Phone: 617-643-4804, Fax: 617-643-6768
| | | | | | | | | | | | | | | | | | | | | | | | - Dustin Rabideau
- Biostatistics Center, Massachusetts General Hospital, Boston, MA
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Nierenberg AA, Sylvia LG, Leon AC, Reilly-Harrington NA, Shesler LW, McElroy SL, Friedman ES, Thase ME, Shelton RC, Bowden CL, Tohen M, Singh V, Deckersbach T, Ketter TA, Kocsis JH, McInnis MG, Schoenfeld D, Bobo WV, Calabrese JR. Clinical and Health Outcomes Initiative in Comparative Effectiveness for Bipolar Disorder (Bipolar CHOICE): a pragmatic trial of complex treatment for a complex disorder. Clin Trials 2014; 11:114-27. [PMID: 24346608 PMCID: PMC4495881 DOI: 10.1177/1740774513512184] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Classic and second-generation antipsychotic mood stabilizers are recommended for treatment of bipolar disorder, yet there are no randomized comparative effectiveness studies that have examined the 'real-world' advantages and disadvantages of these medications. PURPOSE We describe the strategic decisions in the design of the Clinical and Health Outcomes Initiative in Comparative Effectiveness for Bipolar Disorder (Bipolar CHOICE). This article outlines the key issues and solutions the investigators faced in designing a clinical trial that would maximize generalizability and inform real-world clinical treatment of bipolar disorder. METHODS Bipolar CHOICE was a 6-month, multi-site, prospective, randomized clinical trial of outpatients with bipolar disorder. This study compares the effectiveness of quetiapine versus lithium, each with adjunctive personalized treatments (APTs). The co-primary outcomes selected are the overall benefits and harms of the study medications (as measured by the Clinical Global Impression-Efficacy Index) and the Necessary Clinical Adjustments (a measure of the number of medication changes). Secondary outcomes are continuous measures of mood, the Framingham General Cardiovascular Risk Score, and the Longitudinal Interval Follow up Evaluation Range of Impaired Functioning Tool (LIFE-RIFT). RESULTS The final study design consisted of a single-blind, randomized comparative effectiveness trial of quetiapine versus lithium, plus APT, across 10 sites. Other important study considerations included limited exclusion criteria to maximize generalizability, flexible dosing of APT medications to mimic real-world treatment, and an intent-to-treat analysis plan. In all, 482 participants were randomized to the study, and 364 completed the study. LIMITATIONS The potential limitations of the study include the heterogeneity of APT, selection of study medications, lack of a placebo-control group, and participants' ability to pay for study medications. CONCLUSION We expect that this study will inform our understanding of the benefits and harms of lithium, a classic mood stabilizer, compared to quetiapine, a second-generation antipsychotic with broad-spectrum activity in bipolar disorder, and will provide an example of a well-designed and well-conducted randomized comparative effectiveness clinical trial.
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Kemp DE, Sylvia LG, Calabrese JR, Nierenberg AA, Thase ME, Reilly-Harrington NA, Ostacher MJ, Leon AC, Ketter TA, Friedman ES, Bowden CL, Pencina M, Iosifescu DV. General medical burden in bipolar disorder: findings from the LiTMUS comparative effectiveness trial. Acta Psychiatr Scand 2014; 129:24-34. [PMID: 23465084 PMCID: PMC3789858 DOI: 10.1111/acps.12101] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [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] [Accepted: 01/21/2013] [Indexed: 12/22/2022]
Abstract
OBJECTIVE This study examined general medical illnesses and their association with clinical features of bipolar disorder. METHOD Data were cross-sectional and derived from the Lithium Treatment - Moderate Dose Use Study (LiTMUS), which randomized symptomatic adults (n = 264 with available medical comorbidity scores) with bipolar disorder to moderate doses of lithium plus optimized treatment (OPT) or to OPT alone. Clinically significant high and low medical comorbidity burden were defined as a Cumulative Illness Rating Scale (CIRS) score ≥4 and <4 respectively. RESULTS The baseline prevalence of significant medical comorbidity was 53% (n = 139). Patients with high medical burden were more likely to present in a major depressive episode (P = .04), meet criteria for obsessive-compulsive disorder (P = .02), and experience a greater number of lifetime mood episodes (P = 0.02). They were also more likely to be prescribed a greater number of psychotropic medications (P = .002). Sixty-nine per cent of the sample was overweight or obese as defined by body mass index (BMI), with African Americans representing the racial group with the highest proportion of stage II obesity (BMI ≥35; 31%, n = 14). CONCLUSION The burden of comorbid medical illnesses was high in this generalizable sample of treatment-seeking patients and appears associated with worsened course of illness and psychotropic medication patterns.
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Affiliation(s)
- David E. Kemp
- Case Western Reserve University, University Hospitals Case Medical Center, Cleveland, OH USA
| | | | - Joseph R. Calabrese
- Case Western Reserve University, University Hospitals Case Medical Center, Cleveland, OH USA
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Friedman ES, Calabrese JR, Ketter TA, Leon AC, Thase ME, Bowden CL, Sylvia LG, Ostracher MJ, Severe J, Iosifescu DV, Nierenberg AA, Reilly-Harrington NA. Using comparative effectiveness design to improve the generalizability of bipolar treatment trials data: contrasting LiTMUS baseline data with pre-existing placebo controlled trials. J Affect Disord 2014; 152-154:97-104. [PMID: 23845385 DOI: 10.1016/j.jad.2013.05.052] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [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: 01/24/2013] [Revised: 03/11/2013] [Accepted: 05/17/2013] [Indexed: 10/26/2022]
Abstract
BACKGROUND Efficacy-based double-blind placebo controlled trials were conducted to establish efficacy and safety for FDA approval. Such designs allowed and encouraged the use of exclusion criteria to improve assay sensitivity and internal validity. The LiTMUS trial increased the representation of real-world individuals with bipolar disorder despite the acknowledgment that this compromises assay sensitivity. METHOD To maximize generalizability, LiTMUS used broad inclusion and narrow exclusion criteria: participants experiencing mood symptoms of sufficient intensity (at least with a CGI-BP ≥ 3) that would warrant a change in treatment, and that lithium treatment would be a reasonable therapeutic option if they were randomized to it. At baseline demographic, illness, clinical, and treatment characteristics were collected. The LiTMUS study design and baseline sociodemographic data were compared to previous efficacy studies. RESULTS As compared to the previous bipolar disorder efficacy studies, LiTMUS participants were of similar age, gender, weight and illness severity; however LiTMUS participants were more racially and ethnically representative of the general population, had a greater number of mood episodes in the past 12 months, more Axis I/II comorbidity, a greater number of prior suicide attempts, and higher functional capacity. CONCLUSIONS LiTMUS was a comparative effectiveness trial that had broad inclusion and minimal exclusion criteria that produced a more representative sample comprised of real-world participants. This design enables the results of the LiTMUS study to be a more representative of real world pharmacotherapuetic outcomes. LIMITATIONS Limitations include possible selection bias, paucity of sociodemographic data in efficacy trials, and lack of a placebo.
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Affiliation(s)
- E S Friedman
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
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Jarrett RB, Minhajuddin A, Gershenfeld H, Friedman ES, Thase ME. Preventing depressive relapse and recurrence in higher-risk cognitive therapy responders: a randomized trial of continuation phase cognitive therapy, fluoxetine, or matched pill placebo. JAMA Psychiatry 2013; 70:1152-60. [PMID: 24005123 PMCID: PMC4204630 DOI: 10.1001/jamapsychiatry.2013.1969] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [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: 12/20/2022]
Abstract
IMPORTANCE Strategies to improve the course of recurrent major depressive disorder have great public health relevance. To reduce the risk of relapse/recurrence after acute phase cognitive therapy (CT), a continuation phase model of therapy may improve outcomes. OBJECTIVES To test the efficacy of continuation phase CT (C-CT) and fluoxetine for relapse prevention in a pill placebo (PBO)-controlled randomized trial and compare the durability of prophylaxis after discontinuation of treatments. DESIGN A sequential, 3-stage design with an acute phase (all patients received 12 weeks of CT); 8-month experimental phase (responders at higher risk were randomized to C-CT, fluoxetine, or PBO); and 24 months of longitudinal, posttreatment follow-up. SETTING Two university-based specialty clinics. PATIENTS A total of 523 adults with recurrent major depressive disorder began acute phase CT, of which 241 higher-risk responders were randomized and 181 subsequently entered the follow-up. INTERVENTIONS Cognitive therapy responders at higher risk for relapse were randomized to receive 8 months of C-CT (n = 86), fluoxetine (n = 86), or PBO (n = 69). MAIN OUTCOMES AND MEASURES Survival analyses of relapse/recurrence rates, as determined by blinded evaluators using DSM-IV criteria and the Longitudinal Interval Follow-up Evaluation. RESULTS As predicted, the C-CT or fluoxetine groups were significantly less likely to relapse than the PBO group across 8 months. Relapse/recurrence rates for C-CT and fluoxetine were nearly identical during the 8 months of treatment, although C-CT patients were more likely to accept randomization, stayed in treatment longer, and attended more sessions than those in the fluoxetine and PBO groups. Contrary to prediction, relapse/recurrence rates following the discontinuation of C-CT and fluoxetine did not differ. CONCLUSIONS AND RELEVANCE Relapse risk was reduced by both C-CT and fluoxetine in an enriched randomization sampling only CT responders. The preventive effects of C-CT were not significantly more durable than those of fluoxetine after treatment was stopped, suggesting that some higher-risk patients may require alternate longer-term interventions. TRIAL REGISTRATION clinicaltrials.gov Identifiers: NCT00118404, NCT00183664, and NCT00218764.
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Affiliation(s)
- Robin B. Jarrett
- Department of Psychiatry, The University of Texas Southwestern Medical Center
| | - Abu Minhajuddin
- Department of Clinical Sciences, The University of Texas Southwestern Medical Center
| | - Howard Gershenfeld
- Department of Psychiatry, The University of Texas Southwestern Medical Center
| | | | - Michael E. Thase
- Departments of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia Veterans Affairs Medical Center and the University of Pittsburgh Medical Center
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Sylvia LG, Friedman ES, Kocsis JH, Bernstein EE, Brody BD, Kinrys G, Kemp DE, Shelton RC, McElroy SL, Bobo WV, Kamali M, McInnis MG, Tohen M, Bowden CL, Ketter TA, Deckersbach T, Calabrese JR, Thase ME, Reilly-Harrington NA, Singh V, Rabideau DJ, Nierenberg AA. Association of exercise with quality of life and mood symptoms in a comparative effectiveness study of bipolar disorder. J Affect Disord 2013; 151:722-727. [PMID: 23993440 DOI: 10.1016/j.jad.2013.07.031] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [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: 06/24/2013] [Accepted: 07/31/2013] [Indexed: 10/26/2022]
Abstract
BACKGROUND Individuals with bipolar disorder lead a sedentary lifestyle associated with worse course of illness and recurrence of symptoms. Identifying potentially modifiable predictors of exercise frequency could lead to interventions with powerful consequences on the course of illness and overall health. METHODS The present study examines baseline reports of exercise frequency of bipolar patients in a multi-site comparative effectiveness study of a second generation antipsychotic (quetiapine) versus a classic mood stabilizer (lithium). Demographics, quality of life, functioning, and mood symptoms were assessed. RESULTS Approximately 40% of participants reported not exercising regularly (at least once per week). Less frequent weekly exercise was associated with higher BMI, more time depressed, more depressive symptoms, and lower quality of life and functioning. In contrast, more frequent exercise was associated with experiencing more mania in the past year and more current manic symptoms. LIMITATIONS Exercise frequency was measured by self-report and details of the exercise were not collected. Analyses rely on baseline data, allowing only for association analyses. Directionality and predictive validity cannot be determined. Data were collected in the context of a clinical trial and thus, it is possible that the generalizability of the findings could be limited. CONCLUSION There appears to be a mood-specific relationship between exercise frequency and polarity such that depression is associated with less exercise and mania with more exercise in individuals with bipolar disorder. This suggests that increasing or decreasing exercise could be a targeted intervention for patients with depressive or mood elevation symptoms, respectively.
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Affiliation(s)
| | | | - James H Kocsis
- Weill Cornell Medical College of Cornell University, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Michael E Thase
- Perelman School of Medicine at the University of Pennsylvania, USA
| | | | - Vivek Singh
- University of Texas Health Science Center at San Antonio, USA
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Reilly-Harrington NA, Sylvia LG, Leon AC, Shesler LW, Ketter TA, Bowden CL, Calabrese JR, Friedman ES, Ostacher MJ, Iosifescu DV, Rabideau DJ, Thase ME, Nierenberg AA. The Medication Recommendation Tracking Form: a novel tool for tracking changes in prescribed medication, clinical decision making, and use in comparative effectiveness research. J Psychiatr Res 2013; 47:1686-93. [PMID: 23911057 DOI: 10.1016/j.jpsychires.2013.07.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [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: 03/08/2013] [Revised: 06/12/2013] [Accepted: 07/03/2013] [Indexed: 10/26/2022]
Abstract
This paper describes the development and use of the Medication Recommendation Tracking Form (MRTF), a novel method for capturing physician prescribing behavior and clinical decision making. The Bipolar Trials Network developed and implemented the MRTF in a comparative effectiveness study for bipolar disorder (LiTMUS). The MRTF was used to assess the frequency, types, and reasons for medication adjustments. Changes in treatment were operationalized by the metric Necessary Clinical Adjustments (NCA), defined as medication adjustments to reduce symptoms, optimize treatment response and functioning, or to address intolerable side effects. Randomized treatment groups did not differ in rates of NCAs, however, responders had significantly fewer NCAs than non-responders. Patients who had more NCAs during their previous visit had significantly lower odds of responding at the current visit. For each one-unit increase in previous CGI-BP depression score and CGI-BP overall severity score, patients had an increased NCA rate of 13% and 15%, respectively at the present visit. Ten-unit increases in previous Montgomery Asberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) scores resulted in an 18% and 14% increase in rates of NCAs, respectively. Patients with fewer NCAs had increased quality of life and decreased functional impairment. The MRTF standardizes the reporting and rationale for medication adjustments and provides an innovative metric for clinical effectiveness. As the first tool in psychiatry to track the types and reasons for medication changes, it has important implications for training new clinicians and examining clinical decision making. (ClinicalTrials.gov number NCT00667745).
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Affiliation(s)
- Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA 02114, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
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Sylvia LG, Iosifescu D, Friedman ES, Bernstein EE, Bowden CL, Ketter TA, Reilly-Harrington NA, Leon AC, Calabrese JR, Ostacher MJ, Rabideau DJ, Thase ME, Nierenberg AA. Use of treatment services in a comparative effectiveness study of bipolar disorder. Psychiatr Serv 2013; 64:1119-26. [PMID: 23945956 DOI: 10.1176/appi.ps.201200479] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE Bipolar disorder is a severe, chronic mental illness with a high incidence of medical and psychological comorbidities that make treatment and prevention of future episodes challenging. This study investigated the use of services among outpatients with bipolar disorder to further understanding of how to maximize and optimize personalization and accessibility of services for this difficult-to-treat population. METHODS The Lithium Treatment-Moderate Dose Use Study (LiTMUS) was a six-month multisite, comparative effectiveness trial that randomly assigned 283 individuals to receive lithium plus optimized care-defined as personalized, guideline-informed care-or optimized care without lithium. Relationships between treatment service utilization, captured by the Cornell Service Index, and demographic and illness characteristics were examined with generalized linear marginal models. RESULTS Analyses with complete data (week 12, N=246; week 24, N=236) showed that increased service utilization was related to more severe bipolar disorder symptoms, physical side effects, and psychiatric and general medical comorbidities. Middle-aged individuals and those living in the United States longer tended to use more services than younger individuals or recent immigrants, respectively. CONCLUSIONS These data suggest that not all individuals with bipolar disorder seek treatment services at the same rate. Instead, specific clinical or demographic features may affect the degree to which one seeks treatment, conveying clinical and public health implications and highlighting the need for specific approaches to correct such discrepancies. Future research is needed to elucidate potential moderators of service utilization in bipolar disorder to ensure that those most in need of additional services utilize them.
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Nierenberg AA, Friedman ES, Bowden CL, Sylvia LG, Thase ME, Ketter T, Ostacher MJ, Leon AC, Reilly-Harrington N, Iosifescu DV, Pencina M, Severe JB, Calabrese JR. Lithium treatment moderate-dose use study (LiTMUS) for bipolar disorder: a randomized comparative effectiveness trial of optimized personalized treatment with and without lithium. Am J Psychiatry 2013; 170:102-10. [PMID: 23288387 DOI: 10.1176/appi.ajp.2012.12060751] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [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] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Lithium salts, once the mainstay of therapy for bipolar disorder, have tolerability issues at a higher dosage that often limit adherence. The authors investigated the comparative effectiveness of more tolerable dosages of lithium as part of optimized personalized treatment (OPT). METHOD The authors randomly assigned 283 bipolar disorder outpatients to 6 months of open, flexible, moderate dosages of lithium plus OPT or to 6 months of OPT alone. The primary outcome measures were the Clinical Global Impression Scale for Bipolar Disorder-Severity (CGI-BP-S) and "necessary clinical adjustments" (medication adjustments per month). Secondary outcome measures included mood symptoms and functioning. The authors also assessed sustained remission (defined as a CGI-BP-S score ≤2 for 2 months) and treatment with second-generation antipsychotics. The authors hypothesized that lithium plus OPT would result in greater clinical improvement and fewer necessary clinical adjustments. RESULTS The authors observed no statistically significant advantage of lithium plus OPT on CGI-BP-S scores, necessary clinical adjustments, or proportion with sustained remission. Both groups had similar outcomes across secondary clinical and functional measures. Fewer patients in the lithium-plus-OPT group received second-generation antipsychotics compared with the OPT-only group (48.3% and 62.5%, respectively). CONCLUSIONS In this pragmatic comparative effectiveness study, a moderate but tolerated dosage of lithium plus OPT conferred no symptomatic advantage when compared with OPT alone, but the lithium-plus-OPT group had less exposure to second-generation antipsychotics. Only about one-quarter of patients in both groups achieved sustained remission of symptoms. These findings highlight the persistent and chronic nature of bipolar disorder as well as the magnitude of unmet needs in its treatment.
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Farabaugh A, Alpert J, Wisniewski SR, Otto MW, Fava M, Baer L, Perlis R, Friedman ES, Nyer M, Bitran S, Balasubramani G, Inamori A, Trivedi M, Thase M. Cognitive therapy for anxious depression in STAR(*) D: what have we learned? J Affect Disord 2012; 142:213-8. [PMID: 22877961 PMCID: PMC3483355 DOI: 10.1016/j.jad.2012.04.029] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [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: 02/16/2012] [Revised: 04/19/2012] [Accepted: 04/25/2012] [Indexed: 11/28/2022]
Abstract
BACKGROUND Anxious depression, defined as MDD with high levels of anxiety symptoms, has been associated with lower rates of antidepressant response and remission as well as greater chronicity, suicidality and antidepressant side-effect burden. The primary aim of this study was to assess the effectiveness of cognitive therapy (CT) alone or in combination with medications for anxious versus non-anxious depression. METHODS We assessed the STAR(⁎)D study participants who were partial or non-responders to citalopram. Subjects were then either switched (n=696) to a new antidepressant or to CT alone, or they were kept on citalopram and augmented (n=577) with another antidepressant or CT. We compared response and remission rates, across treatment conditions, between those who met criteria for anxious depression and those who did not. RESULTS Those with anxious depression had significantly lower remission rates based on the QIDS, whether assigned to switch or augmentation, compared to those with non-anxious depression. Those with anxious depression, compared to those without, had significantly lower response rates based on the QIDS only in the switch group. There was no significant interaction between anxious depression and treatment assignment. LIMITATIONS Limitations include the use of citalopram as the only Level 1 pharmacotherapy and medication augmentation option, the relatively small size of the CT arms, use of depression-focused CT rather than anxiety-focused CT, and focus on acute treatment outcomes. CONCLUSIONS Individuals with anxious depression appear to experience higher risk of poorer outcome following pharmacotherapy and/or CT after an initial course of citalopram and continued efforts to target this challenging form of depression are needed.
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Affiliation(s)
- Amy Farabaugh
- Depression Clinical and Research Program, Massachusetts General Hospital, United States.
| | - Jonathan Alpert
- Depression Clinical and Research Program, Massachusetts General Hospital
| | | | | | - Maurizio Fava
- Depression Clinical and Research Program, Massachusetts General Hospital
| | - Lee Baer
- Depression Clinical and Research Program, Massachusetts General Hospital
| | - Roy Perlis
- Bipolar Clinical and Research Program, Massachusetts General Hospital
| | | | - Maren Nyer
- Depression Clinical and Research Program, Massachusetts General Hospital
| | - Stella Bitran
- Depression Clinical and Research Program, Massachusetts General Hospital
| | | | - Aya Inamori
- Depression Clinical and Research Program, Massachusetts General Hospital
| | - Madhukar Trivedi
- Mood Disorders and Research Program, University of Texas Southwestern
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Siegle GJ, Thompson WK, Collier A, Berman SR, Feldmiller J, Thase ME, Friedman ES. Toward clinically useful neuroimaging in depression treatment: prognostic utility of subgenual cingulate activity for determining depression outcome in cognitive therapy across studies, scanners, and patient characteristics. ACTA ACUST UNITED AC 2012; 69:913-24. [PMID: 22945620 DOI: 10.1001/archgenpsychiatry.2012.65] [Citation(s) in RCA: 176] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
CONTEXT Among depressed individuals not receiving medication in controlled trials, 40% to 60% respond to cognitive therapy (CT). Multiple previous studies suggest that activity in the subgenual anterior cingulate cortex (sgACC; Brodmann area 25) predicts outcome in CT for depression, but these results have not been prospectively replicated. OBJECTIVE To examine whether sgACC activity is a reliable and robust prognostic outcome marker of CT for depression and whether sgACC activity changes in treatment. DESIGN Two inception cohorts underwent assessment with functional magnetic resonance imaging using different scanners on a task sensitive to sustained emotional information processing before and after 16 to 20 sessions of CT, along with a sample of control participants who underwent testing at comparable intervals. SETTING A hospital outpatient clinic. PATIENTS Forty-nine unmedicated depressed adults and 35 healthy controls. MAIN OUTCOME MEASURES Pretreatment sgACC activity in an a priori region in response to negative words was correlated with residual severity and used to classify response and remission. RESULTS As expected, in both samples, participants with the lowest pretreatment sustained sgACC reactivity in response to negative words displayed the most improvement after CT (R2 = 0.29, >75% correct classification of response, >70% correct classification of remission). Other a priori regions explained additional variance. Response/remission in cohort 2 was predicted based on thresholds from cohort 1. Subgenual anterior cingulate activity remained low for patients in remission after treatment. CONCLUSIONS Neuroimaging provides a quick, valid, and clinically applicable way of assessing neural systems associated with treatment response/remission. Subgenual anterior cingulate activity, in particular, may reflect processes that interfere with treatment (eg, emotion generation) in addition to its putative regulatory role; alternately, its absence may facilitate treatment response.
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Affiliation(s)
- Greg J Siegle
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St, Pittsburgh, PA 15213, USA.
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Friedman ES, Davis LL, Zisook S, Wisniewski SR, Trivedi MH, Fava M, Rush AJ. Baseline depression severity as a predictor of single and combination antidepressant treatment outcome: results from the CO-MED trial. Eur Neuropsychopharmacol 2012; 22:183-99. [PMID: 21920711 PMCID: PMC3273676 DOI: 10.1016/j.euroneuro.2011.07.010] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [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: 06/07/2011] [Revised: 07/19/2011] [Accepted: 07/22/2011] [Indexed: 11/19/2022]
Abstract
The objective of this manuscript is to report associations between baseline depressive severity and (1) baseline sociodemographic and clinical characteristics, (2) treatment outcomes, and (3) differential outcomes for three treatment groups. Six hundred and sixty-five outpatients with nonpsychotic, major depressive disorder were prospectively randomized to treatment with either a selective serotonin reuptake inhibitor (SSRI) monotherapy (escitalopram plus placebo) or one of two antidepressant medication combinations (bupropion-sustained release plus escitalopram, or venlafaxine-extended release plus mirtazapine). For purposes of these analyses, participants were divided into four groups based on baseline severity by the 16-item Quick Inventory of Depressive Symptomatology - Self-Report (QIDS-SR(16)) total score: mild (0-10) [N=81], moderate (11-15) [N=238], severe (16-20) [N=260] and very severe (21-27) [N=67]. Treatment outcomes at 12 and 28weeks were compared among the four severity groups. A history of childhood neglect and/or abuse was strongly associated with the severity of adult depression (1/2 of participants in the very severe group versus 1/5-1/4 of those in the mild group reported abuse and/or neglect). The degree of suicidality (e.g., 15/.4% of the very severe group ever attempted suicide versus none in the mild group), the number of suicide attempts (e.g., mean of .41±1.99 suicide attempts in the severe group versus 0.0±0.0 in the mild group) and severity of suicidality (e.g., 9.2% of participants in very severe group had a plan or made a gesture versus 5.6% in moderate group and none in the mild group) were increased in more severe groups. Participants with a greater baseline depressive severity reported significantly more psychiatric comorbidities (e.g. [at p<.05] increased rates of agoraphobia, bulimia, generalized anxiety, hypocondriasis, panic disorder, post-traumatic stress disorder, social phobia and somatoform disorder, with 23.9% of participants in the very severe group having reported four or more psychiatric disorders versus 1.2% of the mild group). Combination medication treatments were no more effective in treating severe depressions than was SSRI monotherapy. Remission (61.7% of participants in the mild group achieved remission versus 28.4% in the very severe group) is more difficult to achieve in more severe groups than is response (48.8% of participants in the mild group achieved response versus 58.2% in the very severe group) (p<.03). These data may help us to understand the impact of baseline features on antidepressant medication effectiveness and to inform the personalization of depression treatment across the spectrum of depressive severity.
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Affiliation(s)
- Edward S Friedman
- Department of Psychiatry, University of Pittsburgh School of Medicine, PA, USA.
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Jarrett RB, Minhajuddin A, Borman PD, Dunlap L, Segal ZV, Kidner CL, Friedman ES, Thase ME. Cognitive reactivity, dysfunctional attitudes, and depressive relapse and recurrence in cognitive therapy responders. Behav Res Ther 2012; 50:280-6. [PMID: 22445946 DOI: 10.1016/j.brat.2012.01.008] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2011] [Revised: 01/26/2012] [Accepted: 01/30/2012] [Indexed: 10/28/2022]
Abstract
Dysfunctional attitudes can foreshadow depressive relapse/recurrence. Priming mood, through induction paradigms, is hypothesized to activate dysfunctional attitudes. Cognitive reactivity (CR) refers to mood-linked increases in dysfunctional attitudes after priming. Here we explored the extent to which CR as well as residual, unprimed, dysfunctional attitudes predicted depressive relapse/recurrence among depressed patients who responded to acute phase cognitive therapy (CT). Consenting adults, aged 18-70, with recurrent major depressive disorder (n = 523) participated in a two-site randomized controlled trial examining the durability of continuation phase treatments. Patients received 16-20 sessions of CT. Among the 245 incompletely remitted responders, 213 agreed to undergo a mood induction paradigm. After 8 months of continuation phase treatments, participants were followed an additional 24 months. Although the mood induction significantly lowered mood in 80% of responders, the expected CR was not evident. By contrast, higher unprimed dysfunctional attitudes following CT did predict relapse/recurrence over 20 and 32 months post-randomization. The findings of this large longitudinal study of incompletely remitted CT responders challenge the notion that it is necessary to prime mood in order to maximize dysfunctional attitudes' prediction of relapse and/or recurrence. While findings cannot be generalized beyond CT responders, they emphasize the clinical importance of reducing dysfunctional attitudes in preventing depression.
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Affiliation(s)
- Robin B Jarrett
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9149, USA.
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Sylvia LG, Reilly-Harrington NA, Leon AC, Kansky CI, Ketter TA, Calabrese JR, Thase ME, Bowden CL, Friedman ES, Ostacher MJ, Iosifescu DV, Severe J, Keyes M, Nierenberg AA. Methods to limit attrition in longitudinal comparative effectiveness trials: lessons from the Lithium Treatment - Moderate dose Use Study (LiTMUS) for bipolar disorder. Clin Trials 2011; 9:94-101. [PMID: 22076437 DOI: 10.1177/1740774511427324] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND High attrition rates, which occur frequently in longitudinal clinical trials of interventions for bipolar disorder, limit the interpretation of results. PURPOSE The aim of this article is to present design approaches that limited attrition in the Lithium Treatment - Moderate dose Use Study (LiTMUS) for bipolar disorder. METHODS LiTMUS was a 6-month randomized, longitudinal multisite comparative effectiveness trial that enrolled bipolar participants who were at least mildly ill. Participants were randomized to either low to moderate doses of lithium or no lithium; other treatments needed for mood stabilization were administered in a guideline-informed, empirically supported, and personalized fashion to participants in both treatment arms. RESULTS Components of the study design that may have contributed to low attrition (16%) among 283 participants randomized included the use of (1) an intent-to-treat design, (2) a randomized adjunctive single-blind design, (3) participant reimbursement, (4) assessment of intent to attend the next study visit (included a discussion of attendance obstacles when intention was low), (5) quality care with limited participant burden, and (6) target windows for study visits. LIMITATIONS The relationships between attrition and effectiveness and tolerability of treatment have not been analyzed yet. CONCLUSIONS These components of the LiTMUS design may have limited attrition and may inform the design of future randomized comparative effectiveness trials among similar patients and those from other difficult-to-follow populations.
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Siegle GJ, Steinhauer SR, Friedman ES, Thompson WS, Thase ME. Remission prognosis for cognitive therapy for recurrent depression using the pupil: utility and neural correlates. Biol Psychiatry 2011; 69:726-33. [PMID: 21447417 PMCID: PMC3951934 DOI: 10.1016/j.biopsych.2010.12.041] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.8] [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: 07/07/2010] [Revised: 11/15/2010] [Accepted: 12/04/2010] [Indexed: 10/18/2022]
Abstract
BACKGROUND Although up to 60% of people with major depressive disorder respond to cognitive therapy (CT) in controlled trials, clinicians do not routinely use standardized assessments to inform which patients should receive this treatment. Inexpensive, noninvasive prognostic indicators could aid in matching patients with appropriate treatments. Pupillary response to emotional information is an excellent candidate, reflecting limbic reactivity and executive control. This study examined 1) whether pretreatment assessment of pupillary responses to negative information were associated with remission in CT and 2) their associated brain mechanisms. METHODS We examined whether pretreatment pupillary responses to emotional stimuli were prognostic for remission in an inception cohort of 32 unipolar depressed adults to 16 to 20 sessions of CT. Twenty patients were then assessed on the same task using functional magnetic resonance imaging. Pupillary responses were assessed in 51 never-depressed controls for reference. RESULTS Remission was associated with either low initial severity or the combination of higher initial severity and low sustained pupillary responses to negative words (87% correct classification of remitters and nonremitters, 93% sensitivity, 80% specificity; 88% correct classification of high-severity participants, p < .01, 90% sensitivity, 92% specificity). Increased pupillary responses were associated with increased activity in dorsolateral prefrontal regions associated with executive control and emotion regulation. CONCLUSIONS For patients with higher severity, disruptions of executive control mechanisms responsible for initiating emotion regulation, which are indexed by low sustained pupil responses and targeted in therapy, may be key to remitting in this intervention. These mechanisms can be measured using inexpensive noninvasive psychophysiological assessments.
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Affiliation(s)
| | | | | | | | - Michael E. Thase
- University of Pittsburgh, School of Medicine,University of Pennsylvania School of Medicine and Philadelphia Veterans Affairs Medical Center
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Dunlop BW, Li T, Kornstein SG, Friedman ES, Rothschild AJ, Pedersen R, Ninan P, Keller M, Trivedi MH. Concordance between clinician and patient ratings as predictors of response, remission, and recurrence in major depressive disorder. J Psychiatr Res 2011; 45:96-103. [PMID: 20537348 PMCID: PMC3677164 DOI: 10.1016/j.jpsychires.2010.04.032] [Citation(s) in RCA: 33] [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: 11/05/2009] [Revised: 04/28/2010] [Accepted: 04/30/2010] [Indexed: 10/19/2022]
Abstract
We conducted a secondary analysis of data from the Prevention of Recurrent Episodes of Depression With Venlafaxine Extended Release (ER) for Two Years (PREVENT) trial to evaluate whether discrepancies between clinician and patient ratings of depression severity were predictive of response, remission, and recurrence during treatment for a depressive episode. Patients who self-rated depression severity in concordance with the clinician ("concordant patients") were defined as having a standardized patient-rated Inventory of Depressive Symptoms-Self Report (IDS-SR₃₀) score minus standardized clinician-rated Hamilton Rating Scale for Depression (HAM-D₁₇) score <1 SD from mean. Non-concordant patients ("underrating patients" [-1 SD], "overrating patients" [+1 SD]) were identified. Cohorts were compared for remission and response on the HAM-D₁₇, Clinician Global Impression--Severity (CGI-S), and IDS-SR₃₀ during acute and continuation therapy and time to recurrence during maintenance therapy. During acute treatment female patients were more likely to overrate their depression severity compared to the clinician; older age predicted overrating during continuation treatment. Overrating patients had a slower onset of response on the HAM-D₁₇ during acute treatment (P=0.004). There were no differences between cohorts for remission or response on the HAM-D₁₇ or CGI-S. Overrating patients at week 10 had lower remission and response rates on the IDS-SR₃₀ during continuation therapy (32% and 50%, respectively; P≤0.001) compared with underrating patients (76%, 77%) or concordant patients (64%, 78%). Patient concordance at the end of continuation therapy did not predict recurrence during maintenance therapy, indicating that patient rating scales may be useful in tracking recurrence during maintenance therapy. Poor agreement between patient- and clinician-ratings of depression severity is primarily a state phenomenon, although it is trait-like for some patients.
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Affiliation(s)
- Boadie W. Dunlop
- Department of Psychiatry, Emory University School of Medicine, 1256 Briarcliff Road, Building A, 3rd Floor, Atlanta, GA 30306, USA,Corresponding author. Tel.: +1 404 727 8969; fax: +1 404 727 3700. (B.W. Dunlop)
| | - Thomas Li
- Global Biostatistics and Programming, Wyeth Research, Collegeville, Pennsylvania, USA
| | - Susan G. Kornstein
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Edward S. Friedman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Anthony J. Rothschild
- Department of Psychiatry, University of Massachusetts Medical School and UMass Memorial Health Care, Worcester, Massachusetts, USA
| | - Ron Pedersen
- Global Biostatistics and Programming, Wyeth Research, Collegeville, Pennsylvania, USA
| | - Philip Ninan
- Global Medical Affairs, Wyeth Research, Collegeville, Pennsylvania, USA
| | - Martin Keller
- Department of Psychiatry and Human Behavior, Brown University, Providence, Rhode Island, USA
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Trivedi MH, Dunner DL, Kornstein SG, Thase ME, Zajecka JM, Rothschild AJ, Friedman ES, Shelton RC, Keller MB, Kocsis JH, Gelenberg A. Psychosocial outcomes in patients with recurrent major depressive disorder during 2 years of maintenance treatment with venlafaxine extended release. J Affect Disord 2010; 126:420-9. [PMID: 20510459 PMCID: PMC3705737 DOI: 10.1016/j.jad.2010.04.011] [Citation(s) in RCA: 28] [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: 12/17/2009] [Revised: 03/23/2010] [Accepted: 04/19/2010] [Indexed: 11/26/2022]
Abstract
BACKGROUND Psychosocial outcomes from the Prevention of Recurrent Episodes of Depression with Venlafaxine ER for Two Years (PREVENT) study were evaluated. METHODS Adult outpatients with recurrent major depressive disorder (MDD) and response or remission following 6-month continuation treatment with venlafaxine extended release (ER) were randomized to receive venlafaxine ER or placebo for 1 year. Patients without recurrence on venlafaxine ER during year 1 were randomized to venlafaxine ER or placebo for year 2. Psychosocial functioning was assessed using the Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q), Life Enjoyment Scale-Short Version (LES-S), Social Adjustment Scale-Self-Report (SAS-SR) total and individual factors, Short Form Health Survey (SF-36) (vitality, social functioning, and role function-emotional items), and Longitudinal Interval Follow-up Evaluation (LIFE). RESULTS At year 1 end, better overall psychosocial functioning was seen among patients randomly assigned to venlafaxine ER (n=129) vs placebo (n=129), with significant differences at end point on SF-36 role function-emotional, Q-LES-Q, and SAS-SR total, and work, house work, social/leisure, and extended-family factor scores (p≤0.05). At year 2 end, significant differences favored venlafaxine ER (n=43) vs placebo (n=40) on SF-36 vitality and role function-emotional, Q-LES-Q, LES-S, LIFE, and SAS-SR total, social/leisure, and extended-family factor scores (p≤0.05). LIMITATIONS Patients with chronic MDD or treatment resistance were excluded and long-term specialist care was a financial incentive for treatment compliance. Discontinuation-related adverse events may have compromised the integrity of the treatment blind. CONCLUSIONS For patients with recurrent MDD, 2 years' maintenance therapy with venlafaxine ER may improve psychosocial functioning vs placebo.
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Affiliation(s)
- Madhukar H. Trivedi
- University of Texas Southwestern Medical School, Dallas, Texas, United States,Corresponding author. University of Texas Southwestern Medical Center at Dallas, Bass Center, 6363 Forest Park Road, 13.354, Dallas, Texas 75235, United States. Tel.: +1 214 648 0188; fax: +1 214 648 0167. (M.H. Trivedi)
| | - David L. Dunner
- Center for Anxiety and Depression, Mercer Island, Washington, United States
| | | | - Michael E. Thase
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States
| | - John M. Zajecka
- Rush University Medical Center, Chicago, Illinois, United States
| | - Anthony J. Rothschild
- University of Massachusetts Medical School, Worcester, Massachusetts, United States,UMass Memorial Health Care, Worcester, Massachusetts, United States
| | - Edward S. Friedman
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
| | | | | | - James H. Kocsis
- Weill Cornell Medical College, New York, New York, United States
| | - Alan Gelenberg
- Healthcare Technology Systems, Madison, Wisconsin, United States
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Dunlop BW, Li T, Kornstein SG, Friedman ES, Rothschild AJ, Pedersen R, Ninan P, Keller M. Correlation between patient and clinician assessments of depression severity in the PREVENT study. Psychiatry Res 2010; 177:177-83. [PMID: 20304503 PMCID: PMC3668786 DOI: 10.1016/j.psychres.2010.02.008] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.4] [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: 07/02/2009] [Revised: 02/09/2010] [Accepted: 02/10/2010] [Indexed: 12/28/2022]
Abstract
BACKGROUND The degree of agreement between patient- and clinician-rated scales of depressive severity varies widely. This study analyzed agreement between commonly used depression rating scales in the Prevention of Recurrent Episodes of Depression with Venlafaxine Extended Release (ER) for Two Years (PREVENT) trial. METHODS The PREVENT trial was a multiphase, randomized, double-blind study of patients with recurrent major depressive disorder. This secondary analysis evaluated acute (10weeks) and continuation phase (6months) data. Pearson correlation coefficients at each acute-phase (weekly) and continuation-phase (monthly) visit were calculated for patient-rated (30-item Inventory of Depressive Symptomatology-Self-Rated [IDS-SR30] and clinician-rated (17-item Hamilton Rating Scale for Depression [HAM-D17] and Clinical Global Impressions-Severity [CGI-S]) measures and for response and remission. RESULTS Data from 1,047 patients were analyzed. The respective correlation coefficients at baseline, week 10, and month 6 were: IDS-SR30: HAM-D17: 0.46, 0.75, 0.70; and for IDS-SR30: CGI-S 0.28, 0.67, 0.65. Agreement between IDS-SR30- and HAM-D17-defined remission and response was relatively poor: week 10, 0.52 and 0.34, respectively; month 6, 0.45 and 0.32, respectively. CONCLUSIONS These findings suggest that patient-rated measures of depression severity do not correspond strongly with clinician ratings, and are particularly poor prior to the initiation of treatment.
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Affiliation(s)
- Boadie W Dunlop
- Department of Psychiatry, Emory University School of Medicine, Atlanta, GA, USA.
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Fan J, Ionita-Laza I, McQueen MB, Devlin B, Purcell S, Faraone SV, Allen MH, Bowden CL, Calabrese JR, Fossey MD, Friedman ES, Gyulai L, Hauser P, Ketter TB, Marangell LB, Miklowitz DJ, Nierenberg AA, Patel JK, Sachs GS, Thase ME, Molay FB, Escamilla MA, Nimgaonkar VL, Sklar P, Laird NM, Smoller JW. Linkage disequilibrium mapping of the chromosome 6q21-22.31 bipolar I disorder susceptibility locus. Am J Med Genet B Neuropsychiatr Genet 2010; 153B:29-37. [PMID: 19308960 PMCID: PMC4067321 DOI: 10.1002/ajmg.b.30942] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [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] [Indexed: 01/11/2023]
Abstract
We previously reported genome-wide significant evidence for linkage between chromosome 6q and bipolar I disorder (BPI) by performing a meta-analysis of original genotype data from 11 genome scan linkage studies. We now present follow-up linkage disequilibrium mapping of the linked region utilizing 3,047 single nucleotide polymorphism (SNP) markers in a case-control sample (N = 530 cases, 534 controls) and family-based sample (N = 256 nuclear families, 1,301 individuals). The strongest single SNP result (rs6938431, P = 6.72 x 10(-5)) was observed in the case-control sample, near the solute carrier family 22, member 16 gene (SLC22A16). In a replication study, we genotyped 151 SNPs in an independent sample (N = 622 cases, 1,181 controls) and observed further evidence of association between variants at SLC22A16 and BPI. Although consistent evidence of association with any single variant was not seen across samples, SNP-wise and gene-based test results in the three samples provided convergent evidence for association with SLC22A16, a carnitine transporter, implicating this gene as a novel candidate for BPI risk. Further studies in larger samples are warranted to clarify which, if any, genes in the 6q region confer risk for bipolar disorder.
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Affiliation(s)
- Jinbo Fan
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Boston, Massachusetts
| | - Iuliana Ionita-Laza
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts
| | - Matthew B. McQueen
- Department of Psychology, Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, Colorado
| | - Bernie Devlin
- Department of Psychiatry and Human Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Shaun Purcell
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Boston, Massachusetts,Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts,Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Stephen V. Faraone
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Michael H. Allen
- Department of Psychiatry, University of Colorado Denver, Denver, Colorado
| | - Charles L. Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, Texas
| | - Joseph R. Calabrese
- Department of Psychiatry, University Hospitals Case Medical Center, Case Western Reserve University, Cleveland, Ohio
| | - Mark D. Fossey
- Department of Psychiatry, University of Oklahoma College of Medicine-Tulsa and Laureate Psychiatric Clinic and Hospital, Tulsa, Oklahoma
| | - Edward S. Friedman
- Department of Psychiatry and Human Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Laszlo Gyulai
- Department of Psychiatry, University of Pennsylvania Health System, Philadelphia, Pennsylvania
| | | | - Terence B. Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, California
| | - Lauren B. Marangell
- Eli Lilly and Company, Indianapolis, Indiana (work conducted at Baylor College of Medicine and not necessarily reflecting the views of Eli Lilly)
| | | | | | - Jayendra K. Patel
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Gary S. Sachs
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Michael E. Thase
- Department of Psychiatry, University of Pennsylvania Health System, Philadelphia, Pennsylvania
| | - Francine B. Molay
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Michael A. Escamilla
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, Texas,Department of Cellular and Structural Biology, University of Texas Health Science Center, San Antonio, Texas
| | - Vishwajit L. Nimgaonkar
- Department of Psychiatry and Human Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Pamela Sklar
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Boston, Massachusetts,Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts,Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Nan M. Laird
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts
| | - Jordan W. Smoller
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Boston, Massachusetts,Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts,Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts,Correspondence to: Jordan W. Smoller, M.D., Sc.D., Simches Research Building, 185, Cambridge St., 2nd Floor, Boston, MA 02114,
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Friedman ES, Wisniewski SR, Gilmer W, Nierenberg AA, Rush AJ, Fava M, Zisook S, Balasubramani GK, Trivedi MH. Sociodemographic, clinical, and treatment characteristics associated with worsened depression during treatment with citalopram: results of the NIMH STAR(*)D trial. Depress Anxiety 2009; 26:612-21. [PMID: 19382183 DOI: 10.1002/da.20568] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [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] [Indexed: 11/05/2022] Open
Abstract
CONTEXT Outcomes of antidepressant medication treatment for major depressive disorder include remission, response, and nonresponse. But nonresponse can include depression that worsened over the course of treatment, an outcome that has received scant attention. OBJECTIVE To describe baseline sociodemographic, clinical, and treatment characteristics associated with worsened depression during a trial of citalopram. DESIGN, PARTICIPANTS, AND SETTINGS: Open-label clinical trial of 2,876 adult outpatients seen in 18 primary and 23 psychiatric-care settings. INTERVENTION Citalopram was delivered using measurement-based care and flexible dosing with the aim of achieving symptom remission. Symptom and side effect ratings were obtained at each treatment visit. MAIN OUTCOME MEASURES Worsened depression was defined as an exit score >or=3 points above the pretreatment (baseline) score on the 16-item QIDS-SR. Baseline sociodemographic, clinical, and treatment characteristics were examined for association with worsened depression. RESULTS Of 2,864 outpatients who returned for >or=2 post baseline visits, 150 (5.2%) had worsened depression at study exit. Baseline characteristics independently associated with increased worsened depression included African-American race (OR=2.02), having less than a college education (OR=2.36), posttraumatic stress disorder (OR=1.78), drug abuse (OR=1.97), hypochondriasis (OR=2.74). Participants with worsened depression spent less time in treatment; had fewer treatment visits; exited the study sooner; had more frequent, intense, and burdensome adverse effects; and were more intolerant of medication. CONCLUSIONS The presence of certain baseline characteristics indicated a greater likelihood of worsened depression during antidepressant treatment. Patients with these characteristics should be monitored closely during treatment and may be candidates for more aggressive treatment.
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Affiliation(s)
- Edward S Friedman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
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