1
|
Wrobel AL, Turner M, Dean OM, Berk M, Sylvia LG, Thase ME, Deckersbach T, Tohen M, McInnis MG, Kocsis JH, Shelton RC, Ostacher MJ, Iosifescu DV, McElroy SL, Turner A, Nierenberg AA. Understanding the relationship between childhood abuse and affective symptoms in bipolar disorder: New insights from a network analysis. Psychiatry Res 2024; 342:116197. [PMID: 39317000 DOI: 10.1016/j.psychres.2024.116197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2024] [Revised: 09/09/2024] [Accepted: 09/14/2024] [Indexed: 09/26/2024]
Abstract
The impact of childhood abuse on the presentation of bipolar disorder could be further elucidated by comparing the networks of affective symptoms among individuals with and with no history of childhood abuse. Data from 476 participants in the Clinical Health Outcomes Initiative in Comparative Effectiveness for Bipolar Disorder study were used to fit several regularised Gaussian Graphical Models. Differences in the presentation of depressive and manic symptoms were uncovered: only among participants with a history of childhood abuse, inadequacy and pessimism were central symptoms in the network of depressive symptoms, while racing thoughts was an important symptom in the network of manic symptoms. Following network theory, focusing treatments at the symptom-level and on central symptoms - like inadequacy, pessimism, and racing thoughts - could be an effective approach for managing affective symptoms among the sizeable proportion of people with bipolar disorder who have experienced childhood abuse. This study contributes a thorough investigation of the networks of affective symptoms among participants with and with no history of childhood abuse, albeit limited by the use of a binary, self-report measure of childhood abuse, thereby emphasising the importance of assessing for childhood abuse and taking needed steps towards identifying novel targets for treating bipolar disorder.
Collapse
Affiliation(s)
- Anna L Wrobel
- Deakin University, School of Medicine, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, Geelong, Australia; School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Megan Turner
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Olivia M Dean
- Deakin University, School of Medicine, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, Geelong, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Michael Berk
- Deakin University, School of Medicine, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, Geelong, Australia; Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, University of Melbourne, Parkville, Victoria, Australia; Department of Psychiatry, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Michael E Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Thilo Deckersbach
- University of Applied Sciences, DIPLOMA Hochschule, Bad Sooden-Allendorf, Germany
| | | | | | | | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michael J Ostacher
- Department of Psychiatry, VA Palo Alto Health Care System, Palo Alto, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Dan V Iosifescu
- Department of Psychiatry, NYU Grossman School of Medicine and Nathan Kline Institute, New York, NY, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA; University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Alyna Turner
- Deakin University, School of Medicine, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, Geelong, Australia.
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| |
Collapse
|
2
|
Zhang X, Zhou L, Savalei V. Comparing the Psychometric Properties of a Scale Across Three Likert and Three Alternative Formats: An Application to the Rosenberg Self-Esteem Scale. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT 2023; 83:649-683. [PMID: 37398842 PMCID: PMC10311935 DOI: 10.1177/00131644221111402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Zhang and Savalei proposed an alternative scale format to the Likert format, called the Expanded format. In this format, response options are presented in complete sentences, which can reduce acquiescence bias and method effects. The goal of the current study was to compare the psychometric properties of the Rosenberg Self-Esteem Scale (RSES) in the Expanded format and in two other alternative formats, relative to several versions of the traditional Likert format. We conducted two studies to compare the psychometric properties of the RSES across the different formats. We found that compared with the Likert format, the alternative formats tend to have a unidimensional factor structure, less response inconsistency, and comparable validity. In addition, we found that the Expanded format resulted in the best factor structure among the three alternative formats. Researchers should consider the Expanded format, especially when creating short psychological scales such as the RSES.
Collapse
Affiliation(s)
| | - Linnan Zhou
- The University of British Columbia, Vancouver, Canada
| | | |
Collapse
|
3
|
McIntyre RS, Alda M, Baldessarini RJ, Bauer M, Berk M, Correll CU, Fagiolini A, Fountoulakis K, Frye MA, Grunze H, Kessing LV, Miklowitz DJ, Parker G, Post RM, Swann AC, Suppes T, Vieta E, Young A, Maj M. The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management. World Psychiatry 2022; 21:364-387. [PMID: 36073706 PMCID: PMC9453915 DOI: 10.1002/wps.20997] [Citation(s) in RCA: 52] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal-ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical "multi-omic" measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point-of-care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features - especially during depressive episodes - and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally-oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point-of-care.
Collapse
Affiliation(s)
- Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Pharmacology, University of Toronto, Toronto, ON, Canada
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - Ross J Baldessarini
- Harvard Medical School, Boston, MA, USA
- International Consortium for Bipolar & Psychotic Disorders Research, McLean Hospital, Belmont, MA, USA
- Mailman Research Center, McLean Hospital, Belmont, MA, USA
| | - Michael Bauer
- University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Michael Berk
- IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, VIC, Australia
- Orygen, National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Christoph U Correll
- Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Kostas Fountoulakis
- 3rd Department of Psychiatry, Division of Neurosciences, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mark A Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Heinz Grunze
- Allgemeinpsychiatrie Ost, Klinikum am Weissenhof, Weinsberg, Germany
- Paracelsus Medical Private University Nuremberg, Nuremberg, Germany
| | - Lars V Kessing
- Copenhagen Affective Disorder Research Center, Psychiatric Center Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - David J Miklowitz
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles (UCLA) Semel Institute, Los Angeles, CA, USA
| | - Gordon Parker
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Robert M Post
- School of Medicine & Health Sciences, George Washington University, Washington, DC, USA
- Bipolar Collaborative Network, Bethesda, MD, USA
| | - Alan C Swann
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Trisha Suppes
- Department of Psychiatry and Behavioural Sciences, Stanford School of Medicine and VA Palo Alto Health Care -System, Palo Alto, CA, USA
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Allan Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Beckenham, UK
| | - Mario Maj
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
| |
Collapse
|
4
|
Konuk N, Karaahmet E, Angın Ü, Kılıç A, Kökrek Z. Evaluation of mood disorder questionnaire positivity and associated factors in a population-based screening study. PSICOLOGIA, REFLEXAO E CRITICA : REVISTA SEMESTRAL DO DEPARTAMENTO DE PSICOLOGIA DA UFRGS 2022; 35:26. [PMID: 35951270 PMCID: PMC9372238 DOI: 10.1186/s41155-022-00229-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 07/29/2022] [Indexed: 11/13/2022]
Abstract
The Mood Disorders Questionnaire (MDQ) is a 3-item scale that is frequently used in bipolar disorders (BD) screening and questions the symptoms of BD, its effect on functionality, and the coexistence of symptoms. The aim of this study is to evaluate the prevalence of positive screening of the MDQ among general population and to investigate the associated risk factors. In this cross-sectional study, the sample was randomly selected from household data to represent the city population. A total of 432 participants were asked to fill in MDQ, CAGE (cutting down, annoyance by criticism, guilty feeling, and eye-openers) questionnaire, which consists of four clinical interview questions proven to aid in the diagnosis of alcoholism, and clinical and sociodemographic data form. The Cronbach’s alpha value of our current study was 0.813 for MDQ. The prevalence of MDQ positivity was found 7.6%. The estimated prevalence rate of bipolar disorders varied between 0.3 and 13.4% according to different cut-off values. Multivariate logistic regression models showed that the presence of possible alcohol addiction, shift work history, and body mass index (BMI) were statistically significant predictors of MDQ positivity. The prevalence of MDQ positivity found is similar to studies in literature. Keeping in mind that psychometric properties of the MDQ, positive screen results should be cautiously interpreted due to the presence of other risk factors and comorbidities.
Collapse
Affiliation(s)
- Numan Konuk
- Department of Psychiatry, Faculty of Medicine, Düzce University, Yörükler Mah., Konuralp Campus, Merkez, Düzce, 81620, Istanbul, Turkey
| | - Elif Karaahmet
- Department of Psychology, Faculty of Science and Literature, Haliç University, Sütlüce Mah., İmrahor Cd., No. 82, Sütlüce, 34445, Istanbul, Turkey
| | - Ülkem Angın
- Prof. Dr. Cemil Taşçıoğlu City Hospital, Department of Psychiatry, Ministry of Health Istanbul Provincial Health Directorate, Kaptan Paşa, SSK Okmeydanı Hst., No. 25, Şişli, 34384, Istanbul, Turkey
| | - Alperen Kılıç
- Department of Psychiatry, Faculty of Medicine, Istanbul Medipol University, TEM Avrupa Otoyolu Göztepe Çıkışı No: 1, Bağcılar, 34214, İstanbul, Turkey.
| | - Zekeriya Kökrek
- Department of Psychology, Faculty of Humanities and Social Sciences, İstanbul Ticaret University, Sütlüce, İmrahor Cd. No. 90, Beyoğlu, 34445, Istanbul, Turkey
| |
Collapse
|
5
|
Gardea-Resendez M, Winham SJ, Romo-Nava F, Cuellar-Barboza A, Clark MM, Andreazza AC, Cabello-Arreola A, Veldic M, Bond DJ, Singh B, Prieto ML, Nunez NA, Betcher H, Moore KM, Blom T, Colby C, Pendegraft RS, Kelpin SS, Ozerdem A, Miola A, De Filippis E, Biernacka JM, McElroy SL, Frye MA. Quantification of diet quality utilizing the rapid eating assessment for participants-shortened version in bipolar disorder: Implications for prospective depression and cardiometabolic studies. J Affect Disord 2022; 310:150-155. [PMID: 35545158 PMCID: PMC9721194 DOI: 10.1016/j.jad.2022.05.037] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 05/05/2022] [Indexed: 01/01/2023]
Abstract
OBJECTIVES Recognizing bipolar disorder as a multi-system metabolic condition driven, in part, by binge eating behavior and atypical depressive symptoms, this study aimed to quantify diet quality and evaluate clinical correlates in a bipolar disorder cohort. METHODS Participants from the Mayo Clinic Bipolar Disorder Biobank (n = 734) completed the Rapid Eating Assessment for Participants - Shortened version (REAP-S) to determine diet quality. The average REAP-S score for a U.S. omnivorous diet is 32 (range 13 to 39) with higher scores indicating healthier diet. Demographic variables were collected in a standardized clinical questionnaire. Depressive symptoms were assessed by the Bipolar Inventory of Symptoms Scale. Cardiometabolic variables were retrieved from the electronic health record. Associations between continuous variables and REAP-S scores (total, 'healthy foods' and 'avoidance of unhealthy foods') were assessed using linear regression. RESULTS Overall, our sample had a mean REAP-S score of 27.6 (4.9), suggestive of a lower diet quality than the average general population in the US. There was a significant inverse relationship between mean REAP-S lower scores with increased BMI, waist circumference, disordered eating and depression. All these associations were significantly stronger in female participants. LIMITATIONS EHR cross-sectional data. CONCLUSIONS Our data suggest unhealthy diet quality in bipolar disorder is associated with depression, obesity and cardiometabolic abnormalities. Additional work is encouraged to prospectively track mood and diet quality to further understand the bidirectional relationship and clarify if dietary interventions can positively impact mood. Further delineating potential sex differences in diet quality and depression may provide greater appreciation of modifiable risk factors for future cardiometabolic burden.
Collapse
Affiliation(s)
| | - Stacey J. Winham
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Francisco Romo-Nava
- Lindner Center of HOPE/Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati College of Medicine, Mason, OH, USA
| | | | - Matthew M. Clark
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Ana Cristina Andreazza
- Department of Pharmacology and Toxicology and Psychiatry, University of Toronto, Temerty Faculty of Medicine, Toronto, Canada
| | | | - Marin Veldic
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - David J. Bond
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Balwinder Singh
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Miguel L. Prieto
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA, Department of Psychiatry, Facultad de Medicina, Universidad de los Andes, Santiago, Chile, Mental Health Service, Clínica Universidad de los Andes, Santiago, Chile, Center for Biomedical Research and Innovation, Universidad de los Andes, Santiago, Chile
| | - Nicolas A. Nunez
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Hannah Betcher
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Thomas Blom
- Lindner Center of HOPE/Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati College of Medicine, Mason, OH, USA
| | - Colin Colby
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Sydney S. Kelpin
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Aysegul Ozerdem
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Alessandro Miola
- Department of Neurosciences, Psychiatry Unit, University-Hospital of Padova, Padova, Italy
| | | | - Joanna M. Biernacka
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Susan L. McElroy
- Lindner Center of HOPE/Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati College of Medicine, Mason, OH, USA
| | - Mark A. Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA, Corresponding author at: Department of Psychiatry and Psychology, Mayo Clinic, 200 1st Street SW, Rochester, MN 55902, USA. (M.A. Frye)
| |
Collapse
|
6
|
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: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [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.
Collapse
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
| |
Collapse
|
7
|
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] [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.
Collapse
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
| |
Collapse
|
8
|
Kamali M, Pegg S, Janos JA, Bobo WV, Brody B, Gao K, Ketter TA, McElroy SL, McInnis MG, Rabideau DJ, Reilly-Harrington NA, Shelton RC, Sylvia LG, Tohen M, Nierenberg A. Illness stage and predominant polarity in bipolar disorder: Correlation with burden of illness and moderation of treatment outcome. J Psychiatr Res 2021; 140:205-213. [PMID: 34118638 PMCID: PMC8319086 DOI: 10.1016/j.jpsychires.2021.05.082] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/25/2021] [Accepted: 05/29/2021] [Indexed: 11/26/2022]
Abstract
Bipolar disorder often follows a set progression best described in stages where advanced stages are associated with poorer outcomes. Bipolar disorder is also often characterized by a predominance of episode polarity, where some individuals experience more depressive episodes (termed predominant depressive polarity) while others experience more hypo/manic episodes (termed predominant hypo/manic polarity). We examined the associations between staging and predominant polarity with measures of illness burden and treatment outcome utilizing data from a six-month comparative effectiveness trial of lithium and quetiapine in bipolar disorder (Bipolar CHOICE). We used number of self-reported lifetime mood (depressive and hypo/manic) episodes as a proxy for staging and ratio of depressive to manic episodes to define predominant polarity. Polarity and staging were correlated with several measures of burden of illness. Childhood abuse was correlated with more lifetime mood episodes, while more depressive episodes and depressive polarity were correlated with more anxiety disorder comorbidity. Depressive polarity was also correlated with more past trials of psychotropics, particularly antidepressants. However, neither staging nor predominant polarity moderated the randomized treatment effect of lithium vs. quetiapine. Number of depressive episodes in the past year was identified as a potential predictor of overall worse treatment outcome, regardless of medication condition. In conclusion, though staging and predominant episode polarity correlated with several measures of illness burden, they were not associated with differential treatment outcomes. This could be because many of our patients presented for treatment at advanced stages of illness and further highlights the need for early intervention in bipolar disorder.
Collapse
Affiliation(s)
- Masoud Kamali
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, 02114, United States; Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, United States.
| | - Samantha Pegg
- Department of Psychology and Human Development, Vanderbilt University, 230 Appleton Place, Nashville, TN, 37203, United States.
| | - Jessica A. Janos
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 235 East Cameron Avenue, Chapel Hill, NC 27599, United States
| | - William V. Bobo
- Department of Psychiatry & Psychology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, United States
| | - Benjamin Brody
- Department of Psychiatry, Weill Cornell Medical College, 525 East 68th Street, New York, NY, 10065, United States.
| | - Keming Gao
- Department of Psychiatry, Case Western Reserve University School of Medicine, University Hospitals Cleveland Medical Center, 10524 Euclid Avenue, Cleveland, OH, 44106, United States.
| | - Terence A. Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305, United States
| | - Susan L. McElroy
- Lindner Center of HOPE, University of Cincinnati Department of Psychiatry and Behavioral Neuroscience, 260 Stetson Street, Cincinnati, OH 45219, United States
| | - Melvin G. McInnis
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48109, United States
| | - Dustin J. Rabideau
- Biostatistics Center, Massachusetts General Hospital, 50 Staniford Street, Suite 560, Boston, MA 02114, United States,Department of Medicine, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States
| | - Noreen A. Reilly-Harrington
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA 02114, United States,Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States
| | - Richard C. Shelton
- Department of Psychiatry, University of Alabama at Birmingham School of Medicine, 1720 2nd Avenue S, Birmingham, AL 35294, United States
| | - Louisa G. Sylvia
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA 02114, United States,Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States
| | - Mauricio Tohen
- Department of Psychiatry & Behavioral Sciences, University of New Mexico Health Sciences Center, 2400 Tucker Avenue NE, Albuquerque, NM, 87106, United States.
| | - Andrew Nierenberg
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, 02114, United States; Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, United States.
| |
Collapse
|
9
|
Kuperberg M, Katz D, Greenebaum SLA, George N, Sylvia LG, Kinrys G, Desrosiers A, Nierenberg AA. Psychotic symptoms during bipolar depressive episodes and suicidal ideation. J Affect Disord 2021; 282:1241-1246. [PMID: 33601702 DOI: 10.1016/j.jad.2020.12.184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 12/25/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Psychotic symptoms during bipolar depressive episodes, especially in outpatients, are under recognized and studied by clinicians and researchers. We examined the relationship between psychotic symptoms during a depressive episode and suicidal ideation in bipolar patients. METHODS Participants (N = 351) were adult, depressed outpatients with bipolar disorder (BD) in a comparative effectiveness study of quetiapine versus lithium. Psychotic symptoms were assessed via Bipolar Inventory of Signs and Symptoms Scale (BISS) and depressive episodes via Mini-International Neuropsychiatric Interview (MINI). Because only 4.84% (N = 17) endorsed psychotic symptoms, we performed iterative multivariate matching with non-psychotic participants. On every matched population, a multiple regression analysis examined whether psychotic symptoms were associated with suicidal ideation, via the Concise Health Risk Taking scale (CHRT-12). RESULTS Averaged across the 50 matched populations, current psychotic symptoms predicted active suicidal ideation on the CHRT, but not a passive propensity toward suicide or total CHRT scores, after adjusting for common correlates of suicidality (e.g., previous suicidal behavior) (β=0.59, p=.01, R2= 0.41). LIMITATIONS Our study was limited by three factors. First, the generalizability of our study was limited as the sample included only outpatients. Next, the analysis was cross-sectional and does not allow for causal interpretation. Lastly, our study lacked information regarding the content and mood congruency of participants' psychosis. CONCLUSION While a small proportion of BD outpatients had current symptoms of psychosis during their depressive episode, those who did were more likely to endorse active suicidal thoughts, including suicide methods and plans.
Collapse
Affiliation(s)
- Maya Kuperberg
- Be'er Yaakov mental health center and Tel Aviv University, Tel Aviv, Israel.
| | - Douglas Katz
- The Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, USA; Harvard Medical School, 50 Staniford Street, Suite 580, Boston, MA, USA.
| | | | - Nevita George
- The Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, USA.
| | - Louisa G Sylvia
- The Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, USA; Harvard Medical School, 50 Staniford Street, Suite 580, Boston, MA, USA.
| | - Gustavo Kinrys
- The Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, USA; Harvard Medical School, 50 Staniford Street, Suite 580, Boston, MA, USA.
| | - Astrid Desrosiers
- The Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, USA; Harvard Medical School, 50 Staniford Street, Suite 580, Boston, MA, USA.
| | - Andrew A Nierenberg
- The Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, USA; Harvard Medical School, 50 Staniford Street, Suite 580, Boston, MA, USA.
| |
Collapse
|
10
|
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] [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.
Collapse
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
| |
Collapse
|
11
|
Fries GR, Zamzow MJ, Colpo GD, Monroy-Jaramillo N, Quevedo J, Arnold JG, Bowden CL, Walss-Bass C. The anti-aging effects of lithium in lymphoblastoid cell lines from patients with bipolar disorder and controls. J Psychiatr Res 2020; 128:38-42. [PMID: 32516629 PMCID: PMC7484018 DOI: 10.1016/j.jpsychires.2020.05.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 05/02/2020] [Accepted: 05/25/2020] [Indexed: 02/08/2023]
Abstract
Bipolar disorder (BD) has been previously associated with accelerated aging, and recent investigations have started to explore the potential anti-aging effects of BD treatments. Lithium, the most commonly used mood stabilizer, has been suggested to impact telomere length in specific populations, although its effects on other aging biomarkers, such as epigenetic aging, have never been investigated. We assessed the in vitro effects of lithium on telomere length and epigenetic aging in lymphoblastoid cell lines (LCLs) from 14 patients with BD and 14 controls, all matched for age, sex, and ethnicity. Our results showed that telomere length significantly correlated with chronological age in LCLs in both groups and that BD patients have shorter telomere lengths compared to controls at baseline (vehicle treatment), confirming previous in vivo findings. Moreover, lithium treatment significantly increased telomere length in LCLs from patients, but not in controls. On the other hand, epigenetic age did not correlate with chronological age and was not shown to differ between patients and controls. In addition, lithium did not induce any changes in epigenetic age in cells from either patients or controls. Overall, our results support previous reports of an anti-aging effect of lithium based on its modulation of telomere length and suggest a different lithium effect in cells from patients and controls. Finally, we also discuss the limitations of using transformed LCLs for the study of DNA methylation mechanisms.
Collapse
Affiliation(s)
- Gabriel R. Fries
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX.,Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston. 7000 Fannin St, 77030 Houston, TX.,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Madeline J. Zamzow
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX
| | - Gabriela D. Colpo
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX
| | - Nancy Monroy-Jaramillo
- Department of Genetics, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez. Insurgentes Sur 3877 Col. La Fama, Tlalpan, C. P. 14269, Mexico city, Mexico
| | - Joao Quevedo
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX.,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA.,Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil,Center of Excellence in Mood Disorders, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX
| | - Jodi G. Arnold
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Charles L. Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Consuelo Walss-Bass
- Translational Psychiatry Program, Louis A. Faillace, MD, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston. 1941 East Rd, 77054 Houston, TX.,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
| |
Collapse
|
12
|
Dumont CM, Sheridan LM, Besancon EK, Blattner M, Lopes F, Kassem L, McMahon FJ. Validity of the Mood Disorder Questionnaire (MDQ) as a screening tool for bipolar spectrum disorders in anabaptist populations. J Psychiatr Res 2020; 123:159-163. [PMID: 32065952 DOI: 10.1016/j.jpsychires.2020.01.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 11/23/2019] [Accepted: 01/24/2020] [Indexed: 11/17/2022]
Abstract
The Mood Disorder Questionnaire (MDQ) is an established screening tool for bipolar spectrum disorders (BSD), but has not been validated in diverse populations and the best scoring method remains uncertain. This study assessed diagnostic validity of the MDQ among Anabaptists, an underserved population frequently involved in genetic research. 161 participants completed the MDQ and were diagnosed by a best-estimate final diagnosis (BEFD). Diagnostic agreements between alternate MDQ scoring methods and the BEFD were quantified using Cohen's Kappa (κ), sensitivity (α), and specificity (β). Scoring criteria evaluated included >7 simultaneous symptoms and at least moderate impairment, >7 simultaneous symptoms, with at least mild impairment, >7 symptoms only, with no further requirement, and three novel scoring methods that require >5 symptoms or fewer. Diagnostic agreement varied. The original method proved most specific but had the lowest κ and sensitivity. κ increased with more liberal scoring criteria, reaching a maximum under the lower-threshold symptom methods, with little loss of specificity in the 5-symptom method. Decreasing the symptom threshold below 5 conferred little or no benefit. These results support the diagnostic validity of the MDQ among this Anabaptist sample and suggest that a 5-symptom scoring method may increase diagnostic sensitivity in populations at high risk for bipolar disorder.
Collapse
Affiliation(s)
- Cassandra M Dumont
- 10Center Drive R3D54, National Institute of Mental Health, Bethesda, MD, 20892, United States.
| | - Laura M Sheridan
- 10Center Drive R3D54, National Institute of Mental Health, Bethesda, MD, 20892, United States.
| | - Emily K Besancon
- 10Center Drive R3D54, National Institute of Mental Health, Bethesda, MD, 20892, United States
| | - Meghan Blattner
- 10Center Drive R3D54, National Institute of Mental Health, Bethesda, MD, 20892, United States
| | - Fabiana Lopes
- 10Center Drive R3D54, National Institute of Mental Health, Bethesda, MD, 20892, United States
| | - Layla Kassem
- 10Center Drive R3D54, National Institute of Mental Health, Bethesda, MD, 20892, United States
| | - Francis J McMahon
- 10Center Drive R3D54, National Institute of Mental Health, Bethesda, MD, 20892, United States.
| |
Collapse
|
13
|
Kamali M, Reilly-Harrington NA, Chang WC, McInnis M, McElroy SL, Ketter TA, Shelton RC, Deckersbach T, Tohen M, Kocsis JH, Calabrese JR, Gao K, Thase ME, Bowden CL, Kinrys G, Bobo WV, Brody BD, Sylvia LG, Rabideau DJ, Nierenberg AA. Bipolar depression and suicidal ideation: Moderators and mediators of a complex relationship. J Affect Disord 2019; 259:164-172. [PMID: 31445343 DOI: 10.1016/j.jad.2019.08.032] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2018] [Revised: 07/27/2019] [Accepted: 08/17/2019] [Indexed: 02/01/2023]
Abstract
INTRODUCTION Not all patients with bipolar depression have suicidal ideation (SI). This study examines some factors that link bipolar depression to SI. METHODS 482 individuals with bipolar I or II were randomized to either lithium or quetiapine plus adjunctive personalized therapy in a 24 week comparative effectiveness trial. Severity of depression and SI were assessed with the Bipolar Inventory of Symptoms Scale (BISS). We examined potential moderators (age, gender, age of illness onset, bipolar type, comorbid anxiety, substance use, past suicide attempts, childhood abuse and treatment arm) and mediators (severity of anxiety, mania, irritability, impairment in functioning (LIFE-RIFT) and satisfaction and enjoyment of life (Q-LES-Q)) of the effect of depression on SI. Statistical analyses were conducted using generalized estimating equations with repeated measures. RESULTS Bipolar type and past suicide attempts moderated the effect of depression on SI. Life satisfaction mediated the effect of depression and SI. The relationship between anxiety, depression and SI was complex due to the high level of correlation. Treatment with lithium or quetiapine did not moderate the effect of depression on SI. LIMITATIONS Suicide assessment was only done using an item on BISS. Patient population was not specifically chosen for high suicide risk. DISCUSSION Individuals with Bipolar II experienced more SI with lower levels of depression severity. A history of suicide predisposed patients to higher levels of SI given the same severity of depression. Reduced life satisfaction mediates the effect of depression on SI and may be a target for therapeutic interventions.
Collapse
Affiliation(s)
- Masoud Kamali
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Weilynn C Chang
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Susan L McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati OH and Lindner Center of HOPE, Mason, OH, United States
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Science Center, Albuquerque, NM, United States
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, United States
| | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, United States
| | - Keming Gao
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, United States
| | - Michael E Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, United States
| | - Gustavo Kinrys
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - William V Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Benjamin D Brody
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, United States
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Dustin J Rabideau
- Department of Biostatistics, Massachusetts General Hospital, Boston, MA, United States
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| |
Collapse
|
14
|
Cerimele JM, Goldberg SB, Miller CJ, Gabrielson SW, Fortney JC. Systematic Review of Symptom Assessment Measures for Use in Measurement-Based Care of Bipolar Disorders. Psychiatr Serv 2019; 70:396-408. [PMID: 30717645 PMCID: PMC6543835 DOI: 10.1176/appi.ps.201800383] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Utilization of measurement-based care (MBC) for bipolar disorders is limited, in part because of uncertainty regarding the utility of available measures. The aim of this study was to synthesize the literature on patient-reported and clinician-observed measures of symptoms of bipolar disorder and the potential use of these measures in MBC. METHODS A systematic review of multiple databases (PubMed, Embase, PsycINFO, Cochrane Library, and other gray literature) was conducted in June 2017 to identify validated measures. Data on the psychometric properties of each measure were extracted and used to assess the measure's clinical utility on the basis of established guidelines. RESULTS Twenty-eight unique measures were identified in 39 studies, including four patient-reported and six clinician-observed measures assessing manic symptoms, three patient-reported and five clinician-observed measures of depressive symptoms, and six patient-reported and four clinician-observed measures of both symptom types. Patient-reported measures with the highest clinical utility included the Altman Self-Rating Mania Scale for assessment of manic symptoms, the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR) (depressive symptoms), and the Internal State Scale (both types). Highly rated clinician (C)-observed scales were the Bech-Rafaelsen Mania Rating Scale (mania), the QIDS-C (depressive symptoms), and the Bipolar Inventory of Symptoms Scale (both types). CONCLUSIONS Suitable choices are available for MBC of bipolar disorders. The choice of a measure could be informed by clinical utility score and may also depend on how clinicians or practices weigh each category of the clinical utility scale and on the clinical setting and presenting problem.
Collapse
Affiliation(s)
- Joseph M Cerimele
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Cerimele, Fortney); U.S. Department of Veterans Affairs (VA) Health Services Research & Development (HSR&D) Center of Innovation, Seattle (Fortney); Department of Counseling Psychology, University of Wisconsin-Madison (Goldberg); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Miller); M. B. Ketchum Memorial Library, Marshall B. Ketchum University, Fullerton, California (Gabrielson)
| | - Simon B Goldberg
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Cerimele, Fortney); U.S. Department of Veterans Affairs (VA) Health Services Research & Development (HSR&D) Center of Innovation, Seattle (Fortney); Department of Counseling Psychology, University of Wisconsin-Madison (Goldberg); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Miller); M. B. Ketchum Memorial Library, Marshall B. Ketchum University, Fullerton, California (Gabrielson)
| | - Christopher J Miller
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Cerimele, Fortney); U.S. Department of Veterans Affairs (VA) Health Services Research & Development (HSR&D) Center of Innovation, Seattle (Fortney); Department of Counseling Psychology, University of Wisconsin-Madison (Goldberg); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Miller); M. B. Ketchum Memorial Library, Marshall B. Ketchum University, Fullerton, California (Gabrielson)
| | - Stephen W Gabrielson
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Cerimele, Fortney); U.S. Department of Veterans Affairs (VA) Health Services Research & Development (HSR&D) Center of Innovation, Seattle (Fortney); Department of Counseling Psychology, University of Wisconsin-Madison (Goldberg); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Miller); M. B. Ketchum Memorial Library, Marshall B. Ketchum University, Fullerton, California (Gabrielson)
| | - John C Fortney
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Cerimele, Fortney); U.S. Department of Veterans Affairs (VA) Health Services Research & Development (HSR&D) Center of Innovation, Seattle (Fortney); Department of Counseling Psychology, University of Wisconsin-Madison (Goldberg); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Miller); M. B. Ketchum Memorial Library, Marshall B. Ketchum University, Fullerton, California (Gabrielson)
| |
Collapse
|
15
|
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] [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.
Collapse
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
| |
Collapse
|
16
|
Kieslich da Silva A, Reche M, Lima AFDS, Fleck MPDA, Capp E, Shansis FM. Assessment of the psychometric properties of the 17- and 6-item Hamilton Depression Rating Scales in major depressive disorder, bipolar depression and bipolar depression with mixed features. J Psychiatr Res 2019; 108:84-89. [PMID: 30055852 DOI: 10.1016/j.jpsychires.2018.07.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 07/16/2018] [Accepted: 07/18/2018] [Indexed: 12/31/2022]
Abstract
Assessing therapeutic response in depression requires scales that adequately measure the core symptoms of depressive symptomatology. The main goal of this study was to assess the psychometric properties of the 17-item Hamilton Depression Rating Scale (HAM-D17) and the 6-item Hamilton Depression Rating Scale (HAM-D6) in patients with Major Depressive Disorder (MDD), bipolar depression and bipolar depression with mixed features. We conducted a reanalysis of a pragmatic clinical trial in an outpatient clinic for mood disorders that included eight weeks of follow-up. A Mokken analysis was performed to evaluate the unidimensionality of the HAM-D17 and HAM-D6, and the Spearman correlation was used to assess concurrent validity between the HAM-D17, the HAM-D6 and quality of life scale (SF-36 and WHOQOL-BREF) scores. A total of 237 patients with a mean age of 40.2 years (±11.7) were included. According to the DSM-IV criteria, 58 (24.5%) were diagnosed with MDD and 73 (30.8%) were diagnosed with bipolar depression. Bipolar depression with mixed features was diagnosed in 106 (44.7%) patients according to the DSM-IV and supplemented by the Cincinnati criteria. Only the HAM-D6 scale proved to be unidimensional, showing strong homogeneity for evaluating MDD, moderate homogeneity for bipolar depression and weak homogeneity for bipolar depression with mixed features. Both the HAM-D17 and the HAM-D6 had inverse, significant correlations at baseline with SF-36 and WHOQOL-BREF scores. This is the first study to include bipolar depression patients with mixed features in an assessment of HAM-D6 unidimensionality.
Collapse
Affiliation(s)
- Alexandre Kieslich da Silva
- Gynecology and Obstetrics Postgraduate Program, Medical School, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Mood Disorders Research and Educational Program (PROPESTH), Hospital Psiquiátrico São Pedro (HPSP), Porto Alegre, RS, Brazil.
| | - Mateus Reche
- Gynecology and Obstetrics Postgraduate Program, Medical School, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Mood Disorders Research and Educational Program (PROPESTH), Hospital Psiquiátrico São Pedro (HPSP), Porto Alegre, RS, Brazil.
| | - Ana Flávia da Silva Lima
- Instituto de Avaliação de Tecnologia em Saúde (AITS), Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.
| | - Marcelo Pio de Almeida Fleck
- Psychiatry Postgraduate Program, Medical School, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
| | - Edison Capp
- Gynecology and Obstetrics Postgraduate Program, Medical School, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
| | - Flávio Milman Shansis
- Gynecology and Obstetrics Postgraduate Program, Medical School, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Mood Disorders Research and Educational Program (PROPESTH), Hospital Psiquiátrico São Pedro (HPSP), Porto Alegre, RS, Brazil; Collective Health Postgraduate Program, Medical School, Vale dos Sinos University (UNISINOS), São Leopoldo, RS, Brazil; Medical School, Vale do Taquari University (UNIVATES), Lajeado, RS, Brazil.
| |
Collapse
|
17
|
Shi J, Geng J, Yan R, Liu X, Chen Y, Zhu R, Wang X, Shao J, Bi K, Xiao M, Yao Z, Lu Q. Differentiation of Transformed Bipolar Disorder From Unipolar Depression by Resting-State Functional Connectivity Within Reward Circuit. Front Psychol 2018; 9:2586. [PMID: 30622492 PMCID: PMC6308204 DOI: 10.3389/fpsyg.2018.02586] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 12/03/2018] [Indexed: 01/23/2023] Open
Abstract
Previous studies have found that neural functional abnormalities detected by functional magnetic resonance imaging (fMRI) in brain regions implicated in reward processing during reward tasks show promise to distinguish bipolar from unipolar depression (UD), but little is known regarding resting-state functional connectivity (rsFC) within the reward circuit. In this study, we investigated neurobiomarkers for early recognition of bipolar disorder (BD) by retrospectively comparing rsFC within the reward circuit between UD and depressed BD. Sixty-six depressed patients were enrolled, none of whom had ever experienced any manic/hypomanic episodes before baseline. Simultaneously, 40 matched healthy controls (HC) were also recruited. Neuroimaging data of each participant were obtained from resting-state fMRI scans. Some patients began to manifest bipolar disorder (tBD) during the follow-up period. All patients were retrospectively divided into two groups (33 tBD and 33 UD) according to the presence or absence of mania/hypomania in the follow-up. rsFC between key regions of the reward circuit was calculated and compared among groups. Results showed decreased rsFC between the left ventral tegmental area (VTA) and left ventral striatum (VS) in the tBD group compared with the UD group, which showed good accuracy in predicting diagnosis (tBD vs. UD) according to receiver operating characteristic (ROC) analysis. No significant different rsFC was found within the reward circuit between any patient group and HC. Our preliminary findings indicated that bipolar disorder, in early depressive stages before onset of mania/hypomania attacks, already differs from UD in the reward circuit of VTA-VS functional synchronicity at the resting state.
Collapse
Affiliation(s)
- Jiabo Shi
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Jiting Geng
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Rui Yan
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Xiaoxue Liu
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Yu Chen
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Rongxin Zhu
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Xinyi Wang
- School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China
- Key Laboratory of Child Development and Learning Science, Southeast University, Nanjing, China
| | - Junneng Shao
- School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China
- Key Laboratory of Child Development and Learning Science, Southeast University, Nanjing, China
| | - Kun Bi
- School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China
- Key Laboratory of Child Development and Learning Science, Southeast University, Nanjing, China
| | - Ming Xiao
- Nanjing Medical University, Nanjing, China
| | - Zhijian Yao
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Qing Lu
- School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China
- Key Laboratory of Child Development and Learning Science, Southeast University, Nanjing, China
| |
Collapse
|
18
|
Bowden C, Martinez M. Mood stabilizers: The confusion continues. Bipolar Disord 2018; 20:666-667. [PMID: 30259616 DOI: 10.1111/bdi.12695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
| | - Melissa Martinez
- Psychiatry, UT Health Science Center San Antonio, San Antonio, Texas
| |
Collapse
|
19
|
Clinically relevant and simple immune system measure is related to symptom burden in bipolar disorder. Acta Neuropsychiatr 2018; 30:297-305. [PMID: 29212563 DOI: 10.1017/neu.2017.34] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Immunological theories, particularly the sickness syndrome theory, may explain psychopathology in mood disorders. However, no clinical trials have investigated the association between overall immune system markers with a wide range of specific symptoms including potential gender differences. METHODS We included two similar clinical trials, the lithium treatment moderate-dose use study and clinical and health outcomes initiatives in comparative effectiveness for bipolar disorder study, enrolling 765 participants with bipolar disorder. At study entry, white blood cell (WBC) count was measured and psychopathology assessed with the Montgomery and Aasberg depression rating scale (MADRS). We performed analysis of variance and linear regression analyses to investigate the relationship between the deviation from the median WBC, and multinomial regression analysis between different WBC levels. All analyses were performed gender-specific and adjusted for age, body mass index, smoking, race, and somatic diseases. RESULTS The overall MADRS score increased significantly for each 1.0×109/l deviation from the median WBC among 322 men (coefficient=1.10; 95% CI=0.32-1.89; p=0.006), but not among 443 women (coefficient=0.56; 95% CI=-0.19-1.31; p=0.14). Among men, WBC deviations were associated with increased severity of sadness, inner tension, reduced sleep, reduced appetite, concentration difficulties, inability to feel, and suicidal thoughts. Among women, WBC deviations were associated with increased severity of reduced appetite, concentration difficulties, lassitude, inability to feel, and pessimistic thoughts. Both higher and lower WBC levels were associated with increased severity of several specific symptoms. CONCLUSION Immune system alterations were associated with increased severity of specific mood symptoms, particularly among men. Our results support the sickness syndrome theory, but furthermore emphasise the relevance to study immune suppression in bipolar disorder. Due to the explorative nature and cross-sectional design, future studies need to confirm these findings.
Collapse
|
20
|
Caldieraro MA, Walsh S, Deckersbach T, Bobo WV, Gao K, Ketter TA, Shelton RC, Reilly-Harrington NA, Tohen M, Calabrese JR, Thase ME, Kocsis JH, Sylvia LG, Nierenberg AA. Decreased activation and subsyndromal manic symptoms predict lower remission rates in bipolar depression. Aust N Z J Psychiatry 2018; 52:994-1002. [PMID: 29143534 DOI: 10.1177/0004867417741982] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Activation encompasses energy and activity and is a central feature of bipolar disorder. However, the impact of activation on treatment response of bipolar depression requires further exploration. The aims of this study were to assess the association of decreased activation and sustained remission in bipolar depression and test for factors that could affect this association. METHODS We assessed participants with Diagnostic and Statistical Manual of Mental Disorders (4th ed) bipolar depression ( n = 303) included in a comparative effectiveness study of lithium- and quetiapine-based treatments (the Bipolar CHOICE study). Activation was evaluated using items from the Bipolar Inventory of Symptoms Scale. The selection of these items was based on a dimension of energy and interest symptoms associated with poorer treatment response in major depression. RESULTS Decreased activation was associated with lower remission rates in the raw analyses and in a logistic regression model adjusted for baseline severity and subsyndromal manic symptoms (odds ratio = 0.899; p = 0.015). The manic features also predicted lower remission (odds ratio = 0.934; p < 0.001). Remission rates were similar in the two treatment groups. CONCLUSION Decreased activation and subsyndromal manic symptoms predict lower remission rates in bipolar depression. Patients with these features may require specific treatment approaches, but new studies are necessary to identify treatments that could improve outcomes in this population.
Collapse
Affiliation(s)
- Marco Antonio Caldieraro
- 1 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,2 Serviço de Psiquiatria, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Samantha Walsh
- 1 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Thilo Deckersbach
- 1 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,3 Harvard Medical School, Boston, MA, USA
| | - William V Bobo
- 4 Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Keming Gao
- 5 Mood Disorders Program, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Terence A Ketter
- 6 Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Noreen A Reilly-Harrington
- 1 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,3 Harvard Medical School, Boston, MA, USA
| | - Mauricio Tohen
- 8 Department of Psychiatry and Behavioral Sciences, UNM Health Sciences Center, The University of New Mexico, Albuquerque, NM, USA
| | - Joseph R Calabrese
- 5 Mood Disorders Program, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Michael E Thase
- 9 Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - James H Kocsis
- 10 Department of Psychiatry, Weill Cornell Medical College, Ithaca, NY, USA
| | - Louisa G Sylvia
- 1 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,3 Harvard Medical School, Boston, MA, USA
| | - Andrew A Nierenberg
- 1 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,3 Harvard Medical School, Boston, MA, USA
| |
Collapse
|
21
|
Hodgkin D, Stewart MT, Merrick EL, Pogue YZ, Reilly-Harrington NA, Sylvia LG, Deckersbach T, Nierenberg AA. Prevalence and predictors of physician recommendations for medication adjustment in bipolar disorder treatment. J Affect Disord 2018; 238:666-673. [PMID: 29966931 DOI: 10.1016/j.jad.2018.06.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 05/15/2018] [Accepted: 06/04/2018] [Indexed: 02/01/2023]
Abstract
BACKGROUND Successful medication management for bipolar disorder requires clinicians to monitor and adjust regimens as needed, to achieve maximum effectiveness and patient adherence. This study aims to measure the prevalence of indications for medication adjustment at visits for bipolar disorder treatment; the frequency with which physicians recommend medication adjustments; and how strongly the indications predict the adjustments. METHODS Data included 3,094 visits for 457 patients in Bipolar CHOICE, a comparative effectiveness study that compared treatment with lithium versus quetiapine. A set of indications for adjustment was matched to reports of whether the physician recommended a medication adjustment at that visit, and what type. Associations between indication and adjustment were examined using bivariate tests and hierarchical logistic mixed effects models. RESULTS Medication adjustment was recommended at 63% of the visits where one of the indications was present, and at 53% of all visits. In multivariable analyses, adjustment was more likely to be recommended if there was an indication of non-response or side effects, for patients who started on quetiapine rather than lithium, or for patients who were female, married, employed or more educated. LIMITATIONS The study's cross-sectional design implies that observed associations could result from confounding variables. Also, the CHOICE trial placed certain restrictions on physicians' medication choices, although this is not likely to have resulted in major alterations of prescribing patterns. CONCLUSIONS Clinical inertia may help explain the lack of any adjustment recommendation at 37% of the visits where one of the indications was present. Other explanations could also apply, such as watchful waiting.
Collapse
Affiliation(s)
- Dominic Hodgkin
- Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA.
| | - Maureen T Stewart
- Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA
| | - Elizabeth L Merrick
- Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA
| | - Ye Zhang Pogue
- Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Harvard Medical School, and Bipolar Clinic and Research Program, Massachusetts General Hospital, Boston, MA, USA
| | - Louisa G Sylvia
- Department of Psychiatry, Harvard Medical School, and Bipolar Clinic and Research Program, Massachusetts General Hospital, Boston, MA, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Harvard Medical School, and Bipolar Clinic and Research Program, Massachusetts General Hospital, Boston, MA, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Harvard Medical School, and Bipolar Clinic and Research Program, Massachusetts General Hospital, Boston, MA, USA
| |
Collapse
|
22
|
Caldieraro MA, Dufour S, Sylvia LG, Gao K, Ketter TA, Bobo WV, Walsh S, Janos J, Tohen M, Reilly-Harrington NA, McElroy SL, Shelton RC, Bowden CL, Deckersbach T, Nierenberg AA. Treatment outcomes of acute bipolar depressive episode with psychosis. Depress Anxiety 2018; 35:402-410. [PMID: 29329498 DOI: 10.1002/da.22716] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 10/18/2017] [Accepted: 11/13/2017] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The impact of psychosis on the treatment of bipolar depression is remarkably understudied. The primary aim of this study was to compare treatment outcomes of bipolar depressed individuals with and without psychosis. The secondary aim was to compare the effect of lithium and quetiapine, each with adjunctive personalized treatments (APTs), in the psychotic subgroup. METHODS We assessed participants with DSM-IV bipolar depression included in a comparative effectiveness study of lithium and quetiapine with APTs (the Bipolar CHOICE study). Severity was assessed by the Bipolar Inventory of Symptoms Scale (BISS) and by the Clinical Global Impression Scale-Severity-Bipolar Version (CGI-S-BP). Mixed models were used to assess the course of symptom change, and Cox regression survival analysis was used to assess the time to remission. RESULTS Psychotic features were present in 10.6% (n = 32) of the depressed participants (n = 303). Those with psychotic features had higher scores on the BISS before (75.2 ± 17.6 vs. 54.9 ± 16.3; P < .001) and after (37.2 ± 19.7 vs. 26.3 ± 18.0; P = .003) 6-month treatment. The CGI-S-BP yielded similar results. Participants with and without psychosis had similar course of symptom improvement and similar time to remission. There was no significant difference in the treatment outcomes of lithium (n = 11) and quetiapine (n = 21) among the psychotic subgroup. CONCLUSION Bipolar depressive episodes with psychotic features are more severe, and compared to nonpsychotic depressions, present a similar course of improvement. Given the small number of participants presenting psychosis, the lack of statistically significant difference between lithium- and quetiapine-based treatment of psychotic bipolar depressive episodes needs replication in a larger sample.
Collapse
Affiliation(s)
- Marco Antonio Caldieraro
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Serviço de Psiquiatria, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brasil
| | - Steven Dufour
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Keming Gao
- Mood Disorders Program, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Terence A Ketter
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - William V Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Samantha Walsh
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Jessica Janos
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Mauricio Tohen
- Department of Psychiatry & Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Noreen A Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA.,Deparment of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| |
Collapse
|
23
|
Sleep disturbance may impact treatment outcome in bipolar disorder: A preliminary investigation in the context of a large comparative effectiveness trial. J Affect Disord 2018; 225:563-568. [PMID: 28881294 DOI: 10.1016/j.jad.2017.08.056] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2017] [Revised: 05/25/2017] [Accepted: 08/16/2017] [Indexed: 11/22/2022]
Abstract
BACKGROUND Bipolar patients experience sleep disturbances during and between mood episodes. Yet the impact of sleep on treatment with different medications has not been fully explored. The purpose of this paper is to explore the potential impact of poor sleep at baseline on outcomes in a randomized effectiveness trial of quetiapine and lithium. METHODS The Bipolar CHOICE study was a 6-month, parallel group, multisite randomized controlled trial. Participants with bipolar disorder (N = 482; 59% female and age 18-70 years) received quetiapine or lithium. Patients were allowed to also receive adjunctive personalized treatments, which were guideline-informed, empirically-based medications added to treatment as needed. Medication changes were recorded as necessary clinical adjustments (NCA). Fisher's exact tests, mixed-regression models, and Mann-Whitney U tests were used to assess demographic and clinical characteristics as well as whether sleep disturbance would predict outcomes. RESULTS 63% of patients had baseline sleep disturbance. Individuals with sleep disturbance had worse bipolar illness severity, greater severity of depression, mania, anxiety, irritability, and psychosis, were less likely to have sustained response (17% vs. 29%; adjusted RR: 0.55, 95% CI: 0.38-0.78, p = 0.0006) and had more NCAs (median 0.71 vs. 0.59, p = 0.03). LIMITATIONS Our findings were limited by how we defined sleep disturbance, and by how severity of sleep disturbance was assessed with one item with a non-sleep specific measure. CONCLUSIONS Baseline sleep disturbance was associated with more severe bipolar symptoms and worse 6-month outcomes. Further research is warranted on improving sleep in bipolar disorder, especially the role of psychosocial interventions.
Collapse
|
24
|
Fries GR, Colpo GD, Monroy-Jaramillo N, Zhao J, Zhao Z, Arnold JG, Bowden CL, Walss-Bass C. Distinct lithium-induced gene expression effects in lymphoblastoid cell lines from patients with bipolar disorder. Eur Neuropsychopharmacol 2017; 27:1110-1119. [PMID: 28939162 PMCID: PMC5685885 DOI: 10.1016/j.euroneuro.2017.09.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 08/08/2017] [Accepted: 09/07/2017] [Indexed: 12/12/2022]
Abstract
Lithium is the most commonly prescribed medication for the treatment of bipolar disorder (BD), yet the mechanisms underlying its beneficial effects are still unclear. We aimed to compare the effects of lithium treatment in lymphoblastoid cell lines (LCLs) from BD patients and controls. LCLs were generated from sixty-two BD patients (based on DSM-IV) and seventeen healthy controls matched for age, sex, and ethnicity. Patients were recruited from outpatient clinics from February 2012 to October 2014. LCLs were treated with 1mM lithium for 7 days followed by microarray gene expression assay and validation by real-time quantitative PCR. Baseline differences between groups, as well as differences between vehicle- and lithium-treated cells within each group were analyzed. The biological significance of differentially expressed genes was examined by pathway enrichment analysis. No significant differences in baseline gene expression (adjusted p-value < 0.05) were detected between groups. Lithium treatment of LCLs from controls did not lead to any significant differences. However, lithium altered the expression of 236 genes in LCLs from patients; those genes were enriched for signaling pathways related to apoptosis. Among those genes, the alterations in the expression of PIK3CG, SERP1 and UPP1 were validated by real-time PCR. A significant correlation was also found between circadian functioning and CEBPG and FGF2 expression levels. In summary, our results suggest that lithium treatment induces expression changes in genes associated with the apoptosis pathway in BD LCLs. The more pronounced effects of lithium in patients compared to controls suggest a disease-specific effect of this drug.
Collapse
Affiliation(s)
- Gabriel R Fries
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States
| | - Gabriela D Colpo
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States
| | - Nancy Monroy-Jaramillo
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States; Department of Genetics, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Insurgentes Sur 3877 Col. La Fama, Tlalpan, C.P. 14269 Mexico City, Mexico
| | - Junfei Zhao
- Bioinformatics and Systems Medicine Laboratory (BSML), Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX 77030, United States
| | - Zhongming Zhao
- Bioinformatics and Systems Medicine Laboratory (BSML), Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX 77030, United States; Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, 1200 Pressler Street, Houston, TX 77030, United States
| | - Jodi G Arnold
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Consuelo Walss-Bass
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States.
| |
Collapse
|
25
|
Abstract
BACKGROUND Mixed mood states in bipolar disorder are difficult to treat and when present indicate worse illness trajectories. Several medications are US Food and Drug Administration approved to treat mixed episodes; however, the clinical trials have been short term and rarely reported depression response. METHODS We conducted a 5-month open-label trial examining the tolerability and efficacy of iloperidone for bipolar disorder mixed episodes. RESULTS Mania and depression scores significantly improved over the course of the study for study completers (ie, 60%-68% improvement for manic symptoms and 41%-49% for depression symptoms). Improvements were observed early in the trial and after adjusting for concomitant medication effects. The average daily dose in completers was 15 mg. Thirty-nine percent (12/31) of the eligible sample discontinued early because of adverse effects. The adverse events most commonly associated with withdrawal were increased heart rate/palpitations (n = 5 of 12) and urinary incontinence/intense urge to urinate (n = 3 of 12). CONCLUSIONS In a subset of patients, iloperidone provides relief for classic manic, depression, and irritability symptoms associated with mixed episodes in a long-term trial. Adverse effect profiles are likely to be a major factor contributing to individualized medication use.
Collapse
|
26
|
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] [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.
Collapse
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
| |
Collapse
|
27
|
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] [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.
Collapse
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
| |
Collapse
|
28
|
Bortolato M, Walss-Bass C, Thompson PM, Moskovitz J. Manic symptom severity correlates with COMT activity in the striatum: A post-mortem study. World J Biol Psychiatry 2017; 18:247-254. [PMID: 27458023 PMCID: PMC5468118 DOI: 10.1080/15622975.2016.1208844] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVES The enzyme catechol-O-methyltransferase (COMT), which catalyses the degradation of dopamine and norepinephrine, is posited to participate in the pathophysiology of bipolar disorder (BD) and schizophrenia. In support of this notion, rich evidence has documented that the severity of various BD and schizophrenia symptoms is moderated by rs4680, a single nucleotide polymorphism of the COMT gene featuring a valine (Val)-to-methionine (Met) substitution that results in lower catalytic activity. Nevertheless, the specific relevance of COMT enzymatic activity in the pathophysiology of BD and schizophrenia dimensions remains elusive. METHODS We measured COMT catalytic activity in post-mortem prefrontal cortices, striata and cerebella of schizophrenia and BD patients, as well as non-affected controls. These values were then correlated with rs4680 genotypes and psychopathology scores in the last week of life. RESULTS No direct correlation between COMT activity and rs4680 genotypes was found; however, the severity of manic symptoms was highly correlated with COMT activity in the striatum, irrespective of the diagnostic group. CONCLUSIONS These results suggest that COMT striatal activity, but not rs4680 genotype, may serve as a biomarker for manic symptoms. Future studies are warranted to confirm these findings and assess the neurobiological links between COMT striatal activity and manic symptoms.
Collapse
Affiliation(s)
- Marco Bortolato
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT, 84112, USA,Corresponding authors: Marco Bortolato, MD PhD, Department of Pharmacology and Toxicology, University of Utah, 30 2000 E, Salt Lake City, UT 84112, . Jackob Moskovitz, PhD, Department of Pharmacology and Toxicology, University of Kansas, 1251 Wescoe Hall Dr., Lawrence, KS 66045,
| | - Consuelo Walss-Bass
- Department of Psychiatry and Behavioral Science, School of Medicine, University of Texas Health Science Center, Houston, TX, 77054, USA
| | - Peter M. Thompson
- Southwest Brain Bank, Department of Psychiatry, Texas Tech University Health Science Center at El Paso, El Paso TX 79905 USA
| | - Jackob Moskovitz
- Department of Pharmacology and Toxicology, School of Pharmacy, University of Kansas, Lawrence, KS, 66045, USA,Corresponding authors: Marco Bortolato, MD PhD, Department of Pharmacology and Toxicology, University of Utah, 30 2000 E, Salt Lake City, UT 84112, . Jackob Moskovitz, PhD, Department of Pharmacology and Toxicology, University of Kansas, 1251 Wescoe Hall Dr., Lawrence, KS 66045,
| |
Collapse
|
29
|
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] [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.
Collapse
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
| |
Collapse
|
30
|
Abstract
During the past two decades, a number of studies have found that depressed patients frequently have manic symptoms intermixed with depressive symptoms. While the frequency of mixed syndromes are more common in bipolar than in unipolar depressives, mixed states are also common in patients with major depressive disorder. The admixture of symptoms may be evident when depressed patients present for treatment, or they may emerge during ongoing treatment. In some patients, treatment with antidepressant medication might precipitate the emergence of mixed states. It would therefore be useful to systematically inquire into the presence of manic/hypomanic symptoms in depressed patients. We can anticipate that increased attention will likely be given to mixed depression because of changes in the DSM-5. In the present article, I review instruments that have been utilized to assess the presence and severity of manic symptoms and therefore could be potentially used to identify the DSM-5 mixed-features specifier in depressed patients and to evaluate the course and outcome of treatment. In choosing which measure to use, clinicians and researchers should consider whether the measure assesses both depression and mania/hypomania, assesses all or only some of the DSM-5 criteria for the mixed-features specifier, or assesses manic/hypomanic symptoms that are not part of the DSM-5 definition. Feasibility, more so than reliability and validity, will likely determine whether these measures are incorporated into routine clinical practice.
Collapse
|
31
|
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] [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
Collapse
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
| |
Collapse
|
32
|
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] [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.
Collapse
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
| |
Collapse
|
33
|
Arnold JG, Martinez C, Zavala J, Prihoda TJ, Escamilla M, Singh V, Bazan M, Quiñones M, Bowden CL. Investigating symptom domains of bipolar disorder for Spanish-speakers using the Bipolar Inventory of Symptoms Scale. J Affect Disord 2016; 205:239-244. [PMID: 27454409 DOI: 10.1016/j.jad.2016.07.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 06/10/2016] [Accepted: 07/06/2016] [Indexed: 10/21/2022]
Abstract
BACKGROUND A Spanish language rating scale which assesses the range of bipolar disorder symptoms is needed. There are rating scales commonly used, however they do not address commonly expressed symptoms associated with bipolar disorder and have varied rating systems. There are also few comparisons of symptom severity between Spanish and English speaking patients, due to limitations in available rating scales. METHODS We conducted psychometric assessment of the Spanish language Bipolar Inventory of Symptoms Scale (BISS) (N=71) for persons with bipolar disorder, which assesses 5 domains: mania, depression, irritability, anxiety and psychosis. The Spanish BISS scores were then compared to the MADRS (Montgomery Asberg Depression Rating Scale) and the YMRS (Young Mania Rating Scale) as well as to BISS scores in an English speaking sample (N=102) with bipolar disorder from the same geographic locations. RESULTS Chronbach's alphas for the Spanish BISS ranged from 0.6 to 0.93, with the psychosis domain displaying lower reliability. Correlations with the MADRS and YMRS were good and ranged from 0.70 to 0.88. The BISS differentiated well across mood states in English and Spanish versions, with mood state differentiated well using subscales and domains. For the irritability and anxiety domains, Spanish speaking participants had higher scores than English speakers across mood states. Females showed differences in symptom profiles compared to males. LIMITATIONS The sample sizes in the Spanish speaking manic group were small. The Spanish BISS, tested here primarily in patients of Mexican ancestry, may require revision in other Spanish language populations. CONCLUSIONS The Spanish BISS, a Spanish language symptom rating scale for bipolar disorder, demonstrates good reliability and validity. Clinical assessment in anxiety and irritability domains is particularly relevant in a Spanish speaking sample. Consistent with prior research, females report higher depression, irritability and anxiety scores irrespective of language spoken.
Collapse
Affiliation(s)
- Jodi Gonzalez Arnold
- University of Texas Health Science Center, Department of Psychiatry, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States.
| | - Cervando Martinez
- University of Texas Health Science Center, Department of Psychiatry, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Juan Zavala
- Texas Tech University Health Sciences Center, Department of Psychiatry, 5001 El Paso Drive, El Paso, TX 79905, United States
| | - Thomas J Prihoda
- University of Texas Health Science Center, Department of Pathology, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Michael Escamilla
- Texas Tech University Health Sciences Center, Department of Psychiatry, 5001 El Paso Drive, El Paso, TX 79905, United States
| | - Vivek Singh
- Texas Tech University Health Sciences Center, Department of Psychiatry, 5001 El Paso Drive, El Paso, TX 79905, United States
| | - Melissa Bazan
- University of Texas Health Science Center, Department of Psychiatry, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Marlon Quiñones
- Laurel Ridge Treatment Center, 17720 Corporate Woods Drive, San Antonio, TX 78259, United States
| | - Charles L Bowden
- University of Texas Health Science Center, Department of Psychiatry, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| |
Collapse
|
34
|
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] [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.
Collapse
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
| |
Collapse
|
35
|
Woo YS, Bahk WM, Hong J, Yoon BH, Hwang TY, Kim MD, Jon DI. Use of a smartphone application to screen for bipolar spectrum disorder in a community sample. Health Informatics J 2016; 22:779-88. [DOI: 10.1177/1460458215589601] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study describes the use of a smartphone application based on the Korean version of the Mood Disorder Questionnaire in screening for bipolar spectrum disorders in a large general population. All data were collected between May 2011 and July 2011. A total of 27,159 individuals participated in the survey, using a smartphone application. The prevalence of positive screening results for bipolar spectrum disorders among 27,159 participants using the smartphone Korean Mood Disorder Questionnaire application was 8.2 percent. These results are similar to traditional paper-based results. The Korean Mood Disorder Questionnaire positive group exhibited more frequent occurrences of previous psychiatric treatment than the group with negative results. In a logistic regression analysis involving subjects with past psychiatric history, age group significantly predicted Korean Mood Disorder Questionnaire results. The smartphone application may be a useful screening tool for bipolar spectrum disorders. This study included only individuals who actively participated, and thus, the possibility of a selection bias should be considered.
Collapse
Affiliation(s)
- Young Sup Woo
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Won-Myong Bahk
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeongwan Hong
- Department of Psychiatry, Namwon Sungil Mental Hospital, Namwon, Korea
| | - Bo-Hyun Yoon
- Department of Psychiatry, Naju National Hospital, Naju, Korea
| | - Tae-Yeon Hwang
- WHO Collaborating Center of Yongin Mental Hospital, Yongin, Korea
| | - Moon-Doo Kim
- Department of Psychiatry, College of Medicine, Jeju National University, Jeju, Korea
| | - Duk-In Jon
- Department of Psychiatry, College of Medicine, Hallym University, Anyang, Korea
| |
Collapse
|
36
|
Abstract
Both bipolar disorder and borderline personality disorder (BPD) are serious mental health disorders resulting in significant psychosocial morbidity, reduced health-related quality of life, and excess mortality. Yet research on BPD has received much less funding from the National Institute of Health (NIH) than has bipolar disorder during the past 25 years. Why hasn't the level of NIH research funding for BPD been commensurate with the level of psychosocial morbidity, mortality, and health expenditures associated with the disorder? In the present article, the author illustrates how the bipolar disorder research community has done a superior job of "marketing" their disorder. Studies of underdiagnosis, screening, diagnostic spectra, and economics are reviewed for both bipolar disorder and BPD. Researchers of bipolar disorder have conducted multiple studies highlighting the problem with underdiagnosis, developed and promoted several screening scales, published numerous studies of the operating characteristics of these screening measures, attempted to broaden the definition of bipolar disorder by advancing the concept of the bipolar spectrum, and repeatedly demonstrated the economic costs and public health significance of bipolar disorder. In contrast, researchers of BPD have almost completely ignored each of these four issues and research efforts. Although BPD is as frequent as (if not more frequent than) bipolar disorder, as impairing as (if not more impairing than) bipolar disorder, and as lethal as (if not more lethal than) bipolar disorder, it has received less than one-tenth the level of funding from the NIH and has been the focus of many fewer publications in the most prestigious psychiatric journals. The researchers of BPD should consider adopting the strategy taken by researchers of bipolar disorder before the diagnosis is eliminated in a future iteration of the DSM or the ICD.
Collapse
Affiliation(s)
- Mark Zimmerman
- Department of Psychiatry and Human Behavior, Brown Medical School, and the Department of Psychiatry, Rhode Island Hospital, Providence
| |
Collapse
|
37
|
Reilly-Harrington NA, Shelton RC, Kamali M, Rabideau DJ, Shesler LW, Trivedi MH, McElroy SL, Sylvia LG, Bowden CL, Ketter TA, Calabrese JR, Thase ME, Bobo WV, Deckersbach T, Tohen M, McInnis MG, Kocsis JH, Gold AK, Singh V, Finkelstein DM, Kinrys G, Nierenberg AA. A tool to predict suicidal ideation and behavior in bipolar disorder: The Concise Health Risk Tracking Self-Report. J Affect Disord 2016; 192:212-8. [PMID: 26748736 PMCID: PMC9900871 DOI: 10.1016/j.jad.2015.12.036] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Revised: 12/11/2015] [Accepted: 12/27/2015] [Indexed: 02/08/2023]
Abstract
BACKGROUND Few brief, self-report measures exist that can reliably predict adverse suicidality outcomes in patients with BD. This study utilized the Concise Health Risk Tracking Self-Report (CHRT) to assess suicidality in patients with BD and examined its psychometric performance, clinical correlates, and prospective value in predicting adverse events related to suicidality. METHODS The CHRT was administered at baseline and follow-up to 482 adult patients in Bipolar CHOICE, a 6-month randomized comparative effectiveness trial. The Columbia Suicide Severity Rating Scale (CSSRS) was used at baseline to assess lifetime history of suicide attempts and related behaviors. Clinician-rated measures of mood (Bipolar Inventory of Symptoms Scale) and bipolar symptoms (Clinical Global Impressions-Bipolar Version) were conducted at baseline and follow-up. RESULTS The CHRT showed excellent internal consistency and construct validity and was highly correlated with clinician ratings of depression, anxiety, and overall functioning at baseline and throughout the study. Baseline CHRT scores significantly predicted risk of subsequent suicidality-related Serious Adverse Events (sSAEs), after controlling for mood and comorbidity. Specifically, the hazard of a sSAE increased by 76% for every 10-point increase in baseline CHRT score. Past history of suicide attempts and related behaviors, as assessed by the CSSRS, did not predict subsequent sSAEs. LIMITATIONS The CSSRS was used to assess static risk factors in terms of past suicidal behaviors and may have been a more powerful predictor over longer-term follow-up. CONCLUSIONS The CHRT offers a quick and robust self-report tool for assessing suicidal risk and has important implications for future research and clinical practice.
Collapse
Affiliation(s)
- Noreen A. Reilly-Harrington
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA,Correspondence to: Massachusetts General Hospital, Department of Psychiatry, Bipolar Clinic & Research Program, 50 Staniford Street, Suite 580, Boston, MA 02114, USA. (N.A. Reilly-Harrington)
| | - Richard C. Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Masoud Kamali
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | | | - Leah W. Shesler
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Madhukar H. Trivedi
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Susan L. McElroy
- Lindner Center of HOPE, Mason, OH, USA,Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Louisa G. Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Charles L. Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Terence A. Ketter
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Joseph R. Calabrese
- Bipolar Disorders Research Center, University Hospital’s Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Michael E. Thase
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - William V. Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico, Health Sciences Center, Albuquerque, NM, USA
| | - Melvin G. McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - James H. Kocsis
- Department of Psychiatry, Weill Cornell Medical College of Cornell University, New York, NY, USA Article history:
| | - Alexandra K. Gold
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Vivek Singh
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | | | - Gustavo Kinrys
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Andrew A. Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| |
Collapse
|
38
|
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] [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.
Collapse
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
| |
Collapse
|
39
|
Thompson PM, Cruz DA, Fucich EA, Olukotun DY, Takahashi M, Itakura M. SNAP-25a/b Isoform Levels in Human Brain Dorsolateral Prefrontal Cortex and Anterior Cingulate Cortex. MOLECULAR NEUROPSYCHIATRY 2015; 1:220-34. [PMID: 27606314 DOI: 10.1159/000441224] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Accepted: 09/09/2015] [Indexed: 01/03/2023]
Abstract
SNAP-25 is a neurotransmitter vesicular docking protein which has been associated with brain disorders such as attention deficit hyperactivity disorder, bipolar disorder and schizophrenia. In this project, we were interested if clinical factors are associated with differential SNAP-25 expression. We examined the SNAP-25 isoform mRNA and protein levels in postmortem cortex Brodmann's area 9 (BA9) and BA24 (n = 29). Subjects were divided by psychiatric diagnosis, clinical variables including mood state in the last week of life and lifetime impulsiveness. We found affected subjects with a diagnosis of alcohol use disorder (AUD) had a lower level of SNAP-25b BA24 protein compared to those without AUD. Hispanic subjects had lower levels of SNAP-25a, b and BA9 mRNA than Anglo-American subjects. Subjects who smoked had a total pan (total) SNAP-25 BA9/BA24 ratio. Subjects in the group with a low level of anxious-psychotic symptoms had higher SNAP-25a BA24 mRNA compared to normal controls, and both the high and low symptoms groups had higher pan (total) SNAP-25 BA9/BA24 ratios than normal controls. These data expand our understanding of clinical factors associated with SNAP-25. They suggest that SNAP-25 total and isoform levels may be useful biomarkers beyond limited neurological and psychiatric diagnostic categories.
Collapse
Affiliation(s)
| | - Dianne A Cruz
- Departments of Psychiatry, University of Texas Health Science Center San Antonio, San Antonio, Tex., USA
| | - Elizabeth A Fucich
- Departments of Pharmacology, University of Texas Health Science Center San Antonio, San Antonio, Tex., USA
| | - Dianna Y Olukotun
- Departments of Psychiatry, University of Texas Health Science Center San Antonio, San Antonio, Tex., USA
| | - Masami Takahashi
- Department of Biochemistry, Kitasato University School of Medicine, Tokyo, Japan
| | - Makoto Itakura
- Department of Biochemistry, Kitasato University School of Medicine, Tokyo, Japan
| |
Collapse
|
40
|
Bowden CL, Singh V. The use of antidepressants in bipolar disorder patients with depression. Expert Opin Pharmacother 2015; 17:17-25. [PMID: 26479314 DOI: 10.1517/14656566.2016.1104299] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
INTRODUCTION The proportion of time that bipolar patients experience depressive symptoms and clinical states, with associated psychosocial impairment and elevated risk of suicide, is significantly greater than the time spent in manic/hypomanic forms of bipolar disorders. Yet, manic states and symptoms have been the focus and interest of most clinical research over the past quarter century. Not a single antidepressant approved for treatment of major depressive disorder, as monotherapy, has received regulatory approval for treatment of bipolar depression as monotherapy, despite their common use in bipolar depression. AREAS COVERED We reviewed randomized studies, particularly ones initially intended for registration purposes, and systematic treatment guidelines, in development of this guide to treatment decision and implementation of interventions for depression in bipolar disorders. EXPERT OPINION The Expert Opinion section emphasizes strategies, not individual agents. The efficacious performance of mood stabilizers and second-generation antipsychotics as a component of the strategy is strongly supported by published studies. However, this section relies largely on secondary publications and our combined clinical experience, as few randomized, blinded studies have had, as their focus, the comparison of combined regimens for depression. This article summarizes the design features and results of studies dealing with depressive features and intervention strategies for bipolar disorders. The emphasis of the recommendations is on pragmatic treatment decisions that clinicians can make to enhance the probability of both short and long term benefits for patients.
Collapse
Affiliation(s)
- Charles L Bowden
- a Clinical Professor of Psychiatry and Pharmacology , University of Texas Health Science Center at San Antonio , San Antonio , TX , USA
| | - Vivek Singh
- b Professor and Chairman for Department of Psychiatry, Paul L. Foster School of Medicine , Texas Tech University Health Sciences Center , El Paso , TX , USA
| |
Collapse
|
41
|
Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression. Neuropsychopharmacology 2015; 40:2258-68. [PMID: 25767910 PMCID: PMC4613620 DOI: 10.1038/npp.2015.75] [Citation(s) in RCA: 154] [Impact Index Per Article: 17.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Revised: 02/03/2015] [Accepted: 02/13/2015] [Indexed: 12/30/2022]
Abstract
Unipolar and bipolar depressive episodes have a similar clinical presentation that suggests common dysfunction of the brain's reward system. Here, we evaluated the relationship of both dimensional depression severity and diagnostic category to reward system function in both bipolar and unipolar depression. In total, 89 adults were included, including 27 with bipolar depression, 25 with unipolar depression, and 37 healthy comparison subjects. Subjects completed both a monetary reward task and a resting-state acquisition during 3T BOLD fMRI. Across disorders, depression severity was significantly associated with reduced activation for wins compared with losses in bilateral ventral striatum, anterior cingulate cortex, posterior cingulate cortex, and right anterior insula. Resting-state connectivity within this reward network was also diminished in proportion to depression severity, most notably connectivity strength in the left ventral striatum. In addition, there were categorical differences between patient groups: resting-state connectivity at multiple reward network nodes was higher in bipolar than in unipolar depression. Reduced reward system task activation and resting-state connectivity therefore appear to be a brain phenotype that is dimensionally related to depression severity in both bipolar and unipolar depression. In contrast, categorical differences in reward system resting connectivity between unipolar and bipolar depression may reflect differential risk of mania. Reward system dysfunction thus represents a common brain mechanism with relevance that spans categories of psychiatric diagnosis.
Collapse
|
42
|
Wang HR, Woo YS, Ahn HS, Ahn IM, Kim HJ, Bahk WM. THE VALIDITY OF THE MOOD DISORDER QUESTIONNAIRE FOR SCREENING BIPOLAR DISORDER: A META-ANALYSIS. Depress Anxiety 2015; 32:527-38. [PMID: 26010478 DOI: 10.1002/da.22374] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2015] [Revised: 03/23/2015] [Accepted: 03/28/2015] [Indexed: 11/07/2022] Open
Abstract
We conducted a meta-analysis to review the diagnostic accuracy of the Mood Disorder Questionnaire (MDQ) among patients with mood disorders. We used a bivariate random effects model to calculate summary sensitivity and specificity. Twenty-one studies were included. At the standard or modified cutoff value of 7, summary sensitivity was .62 and summary specificity was .85. When we pooled 11 studies including both patients with bipolar disorder (BD) and those with unipolar depression, the summary sensitivity was .76 and summary specificity was .81. However, among the six studies that excluded patients with known BD, the summary sensitivity was significantly reduced to .37 and summary specificity was .88. There were no significant differences on the diagnostic accuracy of the MDQ between studies from Eastern and Western countries after adjusting for various clinical correlates. The overall diagnostic accuracy of the MDQ was relatively good. However, when the MDQ is applied among patients with depression without previous diagnoses of BD, its sensitivity was significantly reduced. This suggests that when the MDQ is applied among this population, its optimal cutoff value should be adjusted to enhance its sensitivity.
Collapse
Affiliation(s)
- Hee Ryung Wang
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Young Sup Woo
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyeong Sik Ahn
- Department of Preventive Medicine, College of Medicine, Korea University, Seoul, Korea
| | - Il Min Ahn
- Department of Preventive Medicine, College of Medicine, Korea University, Seoul, Korea.,Department of Literary Arts, Brown University, Providence, Rhode Island
| | - Hyun Jung Kim
- Department of Preventive Medicine, College of Medicine, Korea University, Seoul, Korea
| | - Won-Myong Bahk
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| |
Collapse
|
43
|
Zimmerman M. Screening for bipolar disorder: confusion between case-finding and screening. PSYCHOTHERAPY AND PSYCHOSOMATICS 2015; 83:259-62. [PMID: 25116428 DOI: 10.1159/000362564] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2014] [Accepted: 03/31/2014] [Indexed: 11/19/2022]
Affiliation(s)
- Mark Zimmerman
- Department of Psychiatry and Human Behavior, Brown Medical School, and Department of Psychiatry, Rhode Island Hospital, Providence, R.I., USA
| |
Collapse
|
44
|
Sylvia LG, Thase ME, Reilly-Harrington NA, Salcedo S, Brody B, Kinrys G, Kemp D, Shelton RC, McElroy SL, Kocsis JH, Bobo WV, Kamali M, McInnis M, Friedman E, Tohen M, Bowden CL, Ketter TA, Singh V, Calabrese J, Nierenberg AA, Rabideau DJ, Elson CM, Deckersbach T. Psychotherapy use in bipolar disorder: Association with functioning and illness severity. Aust N Z J Psychiatry 2015; 49:453-61. [PMID: 25680360 DOI: 10.1177/0004867415569803] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE This study examines characteristics of individuals with bipolar disorder who sought psychotherapy versus those who did not. METHODS Bipolar CHOICE was an 11-site comparative effectiveness study of lithium versus quetiapine in symptomatic outpatients (N = 482) with bipolar disorder. At baseline, participants' psychotherapy use within the past 3 months, mood, functioning, and overall health were assessed. Logistic regressions were used to test whether psychotherapy users and non-users differed on various demographic and clinical variables at baseline. Mixed-effects regression was used to determine whether psychotherapy groups differed on response to treatment over the 6-month study. Kaplan-Meier plots and log-rank tests were employed to test whether there were any differences in time to recovery (CGI-BP ≤ 2 for at least 8 weeks) between the groups. RESULTS Thirty one percent of participants reported using psychotherapy services. Psychotherapy users reported greater medication side effect burden than non-users and were more likely to have moderate to high suicide risk and at least one anxiety disorder. Participants not utilizing medications or psychotherapy had greater mania symptom severity, were younger, and less educated than medication only users. Medication only users were more likely to be married than the other participants. CONCLUSIONS These data suggest that a minority of individuals with bipolar disorder attend psychotherapy services, and those that do have greater illness burden.
Collapse
Affiliation(s)
- Louisa G Sylvia
- Massachusetts General Hospital, Boston, USA Harvard Medical School, Boston, USA
| | | | | | | | | | - Gustavo Kinrys
- Massachusetts General Hospital, Boston, USA Harvard Medical School, Boston, USA
| | - David Kemp
- Case Western Reserve University, Cleveland, USA
| | | | - Susan L McElroy
- The Lindner Center of HOPE, Mason, Ohio and University of Cincinnati College of Medicine, Cincinnati, USA
| | | | | | | | | | | | - Mauricio Tohen
- University of New Mexico, Health Sciences Center, Albuquerque, USA
| | | | | | - Vivek Singh
- University of Texas Health Science, San Antonio, USA
| | | | - Andrew A Nierenberg
- Massachusetts General Hospital, Boston, USA Harvard Medical School, Boston, USA
| | | | | | - Thilo Deckersbach
- Massachusetts General Hospital, Boston, USA Harvard Medical School, Boston, USA
| |
Collapse
|
45
|
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: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [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.
Collapse
Affiliation(s)
- Louisa G Sylvia
- Bipolar Clinic and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
46
|
Abstract
Compared with bipolar disorder, borderline personality disorder (BPD) is as frequent (if not more frequent), as impairing (if not more impairing), and as lethal (if not more lethal). Yet, BPD has received less than one-tenth the funding from the National Institutes of Health than has bipolar disorder. More than other reviewers of the literature on the interface between bipolar disorder and BPD, Paris and Black (Paris J and Black DW (2015) Borderline Personality Disorder and Bipolar Disorder: What is the Difference and Why Does it Matter? J Nerv Ment Dis 203:3-7) emphasize the clinical importance of correctly diagnosing BPD and not overdiagnosing bipolar disorder, with a focus on the clinical feature of affective instability and how the failure to recognize the distinction between sustained and transient mood perturbations can result in misdiagnosing patients with BPD as having bipolar disorder. The review by Paris and Black, then, is more of an advocacy for BPD than other reviews in this area have been. In the present article, the author will illustrate how the bipolar disorder research community has done a superior job of advocating for and "marketing" their disorder compared with researchers of BPD. Specifically, researchers of bipolar disorder have conducted multiple studies highlighting the problem with underdiagnosis, written commentaries about the problem with underdiagnosis, developed and promoted several screening scales to improve diagnostic recognition, published numerous studies of the operating characteristics of these screening measures, attempted to broaden the definition of bipolar disorder by advancing the concept of the bipolar spectrum, and repeatedly demonstrated the economic costs and public health significance of bipolar disorder. In contrast, researchers of BPD have almost completely ignored each of these issues and thus have been less successful in highlighting the public health significance of the disorder.
Collapse
|
47
|
The relationships between clinical characteristics, alcohol and psychotropic exposure, and circadian gene expression in human postmortem samples of affective disorder and control subjects. Psychiatry Res 2014; 218:359-62. [PMID: 24837424 DOI: 10.1016/j.psychres.2014.04.048] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2013] [Revised: 04/11/2014] [Accepted: 04/29/2014] [Indexed: 11/22/2022]
Abstract
Circadian abnormalities may be related to mood disorders. Circadian gene expression was measured in postmortem brain tissue from individuals with affective disorders and controls. Relationships between circadian gene expression, clinical characteristics, and alcohol and psychotropic medication use were noted. Further study is warranted to characterize these relationships.
Collapse
|
48
|
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] [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.
Collapse
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
| |
Collapse
|
49
|
Vieta E, Grunze H, Azorin JM, Fagiolini A. Phenomenology of manic episodes according to the presence or absence of depressive features as defined in DSM-5: Results from the IMPACT self-reported online survey. J Affect Disord 2014; 156:206-13. [PMID: 24439831 DOI: 10.1016/j.jad.2013.12.031] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2013] [Revised: 11/22/2013] [Accepted: 12/23/2013] [Indexed: 02/08/2023]
Abstract
BACKGROUND The aim of this study was to describe the phenomenology of mania and depression in bipolar patients experiencing a manic episode with mixed features as defined in the new Diagnostic and Statistical Manual of Mental Disorders (DSM-5). METHODS In this multicenter, international on-line survey (the IMPACT study), 700 participants completed a 54-item questionnaire on demographics, diagnosis, symptomatology, communication of the disease, impact on life, and treatment received. Patients with a manic episode with or without DSM-5 criteria for mixed features were compared using descriptive and inferential statistics. RESULTS Patients with more than 3 depressive symptoms were more likely to have had a delay in diagnosis, more likely to have experienced shorter symptom-free periods, and were characterized by a marked lower prevalence of typical manic manifestations. All questionnaire items exploring depressive symptomatology, including the DSM-5 criteria defining a manic episode as "with mixed features", were significantly overrepresented in the group of patients with depressive symptoms. Anxiety associated with irritability/agitation was also more frequent among patients with mixed features. LIMITATIONS Retrospective cross-sectional design, sensitive to recall bias. Two of the 6 DSM-5 required criteria for the specifier "with mixed features" were not explored: suicidality and psychomotor retardation. CONCLUSIONS Bipolar disorder patients with at least 3 depressive symptoms during a manic episode self-reported typical symptomatology. Anxiety with irritability/agitation differentiated patients with depressive symptoms during mania from those with "pure" manic episodes. The results support the use of DSM-5 mixed features specifier and its value in research and clinical practice.
Collapse
Affiliation(s)
- Eduard Vieta
- Bipolar Disorder Programme, Institute of Neuroscience, University of Barcelona Hospital Clínic, IDIBAPS, CIBERSAM, C/Villarroel 170, Barcelona 08036, Catalonia, Spain.
| | - Heinz Grunze
- Institute of Neuroscience, Academic Psychiatry, Newcastle upon Tyne, NE4 5PL, UK
| | - Jean-Michel Azorin
- Hospital Ste. Marguerite, 270 Bd Sainte Marguerite, 13274 Marseille, France
| | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena, School of Medicine, Siena, Italy; Department of Mental Health, University of Siena Medical Center, Siena, Italy
| |
Collapse
|
50
|
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] [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.
Collapse
|