1
|
Susam S, İlhan N, Bodur A, Çıkım G, Canpolat Ö. Is serum homocysteine level a biomarker of suicide attempts: A preliminary study. J Psychiatr Res 2024; 175:455-460. [PMID: 38810520 DOI: 10.1016/j.jpsychires.2024.05.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 05/12/2024] [Accepted: 05/19/2024] [Indexed: 05/31/2024]
Abstract
Suicide is a global public health concern, and understanding its multifaceted determinants is crucial for effective prevention. This study was designed to find an answer to the question of whether serum homocysteine level can be a biomarker of suicide attempts. This preliminary study involving 90 participants (45 suicide attempt cases and 45 controls) was conducted at Elazig Fethi Sekin City Hospital. Biochemical analyses were performed to assess serum homocysteine, vitamin B12, and folic acid levels. Statistical analyses, including t-tests, Mann-Whitney U tests, and ROC analysis, were employed to explore differences between groups and assess the diagnostic potential of homocysteine. Elevated homocysteine levels were found in individuals who attempted suicide compared to the control group (p= <0.001). Additionally, lower levels of vitamin B12 (p=<0.001) and folic acid (p=<0.001) were observed in the suicide attempt group. ROC analysis indicated a significant diagnostic potential for homocysteine in predicting suicide attempts (AUC = 0.845, sensitivity = 91%, specificity = 71%). This study establishes a significant association between high homocysteine levels and suicide attempts, accompanied by lower vitamin B12 and folic acid levels. The findings suggest a potential link between disturbances in homocysteine metabolism and suicidal tendencies, urging further research to establish causation and explore therapeutic implications. Consideration of the study's limitations and directions for future research are warranted.
Collapse
Affiliation(s)
- Solmaz Susam
- Department of Medical Biochemistry, Adiyaman University, Adiyaman, Turkey.
| | - Nevin İlhan
- Department of Medical Biochemistry, Firat University, Elazig, Turkey
| | - Akın Bodur
- Department of Nutrition and Dietetics, Kahramanmaras Istiklal University, Kahramanmaras, Turkey
| | - Gürkan Çıkım
- Department of Medical Biochemistry, Adiyaman University, Adiyaman, Turkey
| | - Ömer Canpolat
- Department of Emergency Medicine, Elazig Fethi Sekin City Hospital, Elazig, Turkey
| |
Collapse
|
2
|
Kartal C, Fahri Aydın E. Functional Impairment, Attachment, and Affective Temperaments in Euthymic Patients with Bipolar Disorder. PSYCHIAT CLIN PSYCH 2023; 33:299-308. [PMID: 38765849 PMCID: PMC11037472 DOI: 10.5152/pcp.2023.22597] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 07/20/2023] [Indexed: 05/22/2024] Open
Abstract
Background Functional impairment in euthymic patients with bipolar disorder is a compelling issue, and revealing unknown related factors with functional impairment is a substantial topic. We aimed to assess the effects of clinical factors, affective temperaments, and attachment on overall functioning in euthymic patients with bipolar disorder. Methods Sixty-three patients with bipolar disorder and 61 healthy controls participated in this study. The assessment involved Hamilton Depression Rating Scale; Young Mania Rating Scale; Relationship Scales Questionnaire; Temperament Evaluation of Memphis, Pisa, Paris, and San Diego; and Functioning Assessment Short Test. Results Secure attachment scores were significantly higher in the control group than in the bipolar disorder group. Depressive, anxious, and cyclothymic temperament scores were significantly higher in the bipolar disorder group. In the bipolar disordergroup higher occupational, cognitive, autonomy, interpersonal relationships, and leisure subdomain and overall functional impairment scores were found than in the healthy control group. Secure attachment scores were significantly and negatively correlated with anxious and depressive temperaments. Secure attachment scores were positively and significantly correlated with hyperthymic temperament scores. Years of education; subclinical depressive symptoms; secure attachment; and cyclothymic, irritable, depressive, hyperthymic, and anxious temperaments were all significantly correlated with the overall functional impairment in the patient group. The cyclothymic and anxious temperament positively predicted the overall functional impairment in the bipolar group, while the secure attachment negatively predicted the overall functional impairment in the regression analysis. Conclusion The results suggest that, when following up the patients with bipolar disorder in relation to functional impairment, secure attachment, cyclothymic, and anxious temperaments should be taken into consideration.
Collapse
Affiliation(s)
| | - Esat Fahri Aydın
- Department of Psychiatry, Atatürk University Medical Faculty, Erzurum, Turkey
| |
Collapse
|
3
|
Kalcev G, Cossu G, Preti A, Littera MT, Frau S, Primavera D, Zaccheddu R, Matza V, Ermellino M, Pintus E, Carta MG. Development and Validation of the Questionnaire for Adaptive Hyperactivity and Goal Achievement (AHGA). Clin Pract Epidemiol Ment Health 2023; 19:e174501792303281. [PMID: 37916197 PMCID: PMC10351347 DOI: 10.2174/17450179-v19-e230419-2022-50] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 03/01/2023] [Accepted: 03/16/2023] [Indexed: 11/03/2023]
Abstract
Objective This paper illustrates the preliminary psychometric properties of the Questionnaire for Adaptive Hyperactivity and Goal Achievement (AHGA), aimed at measuring adaptive characteristics of hyperactivity and goal pursuit in older adults. Methods The 12-item scale was administered to a sample of 120 subjects (older adults) between February 2022 and June 2022. The reliability of AHGA was measured using Cronbach's alpha, and factor structure was established using parallel analysis (PA) and principal component analysis (PCA). Convergent validity was tested against the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN). Results All included subjects have an average age of 74.1±5.1 years. AHGA reliability was good (Cronbach's alpha: 0.713 [95%CI: 0.630 to 0.783]). Factor analysis suggested two main components: goal achievement and hyperactivity, which explained 41% of the variance in the data. The results support the convergent validity of the scale: AHGA measures adaptive characteristics of hyperactivity and goal pursuit, in contrast to BRIAN, which measures pathological characteristics. Conclusion The reported findings represent an innovative approach to hyperthymic features by embracing a broader spectrum concept that conceptualizes the potential transition between pathological and adaptive aspects as a continuum.
Collapse
Affiliation(s)
- Goce Kalcev
- Department of Innovation Sciences and Technologies at the University of Cagliari, Cagliari, Italy
| | - Giulia Cossu
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Antonio Preti
- Department of Neuroscience, University of Turin, Turin, Italy
| | | | - Stèphanie Frau
- Department of Psychology, University of Cagliari, Cagliari, Italy
| | - Diego Primavera
- Azienda Regionale della Salute (ARES, Sardegna), Medio Campidano, Italy
| | - Rosanna Zaccheddu
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | | | | | - Elisa Pintus
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Mauro G. Carta
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| |
Collapse
|
4
|
Wang Z, Zhang D, Du Y, Wang Y, Huang T, Ng CH, Huang H, Pan Y, Lai J, Hu S. Efficacy of Quetiapine Monotherapy and Combination Therapy for Patients with Bipolar Depression with Mixed Features: A Randomized Controlled Pilot Study. Pharmaceuticals (Basel) 2023; 16:287. [PMID: 37259431 PMCID: PMC9966274 DOI: 10.3390/ph16020287] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 01/06/2023] [Accepted: 01/08/2023] [Indexed: 07/26/2023] Open
Abstract
Effective pharmacotherapy of bipolar depression with mixed features defined by DSM-5 remains unclear in clinical treatment guidelines. Quetiapine (QTP) and valproate have potential treatment utility but are often inadequate as monotherapy. Meanwhile, the efficacy of combination therapies of QTP plus valproate or lithium have yet to be verified. Hence, we conducted a randomized controlled pilot study to evaluate the efficacy of QTP monotherapy in patients with bipolar depression with mixed features defined by DSM-5 and compared the combination therapy of QTP plus valproate (QTP + V) versus QTP plus lithium (QTP + L) for those patients who responded insufficiently to QTP monotherapy. Data was analyzed according to the intent-to-treat population. Generalized linear mixed model was performed by using "nlme" package in R software. A total 56 patients were enrolled, among which, 35 patients responded to QTP alone, and 11 and 10 patients were randomly assigned to QTP + V and QTP + L group, respectively. Nearly 60% enrolled patients responded to QTP monotherapy at the first two weeks treatment. No statistically significant difference in efficacy between QTP + V and QTP + L was observed. In conclusion, QTP monotherapy appeared to be efficacious in patients with bipolar depression with mixed features, and for those who responded insufficiently to QTP, combining with either valproate or lithium appeared to have positive effects.
Collapse
Affiliation(s)
- Zheng Wang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Danhua Zhang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yanli Du
- Department of Psychiatry, Dongyang People’s Hospital, Jinhua 322103, China
| | - Yin Wang
- Clinical Trial Unit, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai 310005, China
| | - Tingting Huang
- Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Chee H. Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent’s Hospital, University of Melbourne, Richmond, VIC 3121, Australia
| | - Huimin Huang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yanmeng Pan
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Jianbo Lai
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
- Brain Research Institute, Zhejiang University, Hangzhou 310003, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China
- Department of Neurobiology, NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brian Medicine, and MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University School of Medicine, Hangzhou 310003, China
| |
Collapse
|
5
|
Chakrabarti S. Bipolar disorder in the International Classification of Diseases-Eleventh version: A review of the changes, their basis, and usefulness. World J Psychiatry 2022; 12:1335-1355. [PMID: 36579354 PMCID: PMC9791613 DOI: 10.5498/wjp.v12.i12.1335] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 10/07/2022] [Accepted: 11/22/2022] [Indexed: 12/16/2022] Open
Abstract
The World Health Organization’s 11th revision of the International Classification of Diseases (ICD-11) including the chapter on mental disorders has come into effect this year. This review focuses on the “Bipolar or Related Disorders” section of the ICD-11 draft. It describes the benchmarks for the new version, particularly the foremost principle of clinical utility. The alterations made to the diagnosis of bipolar disorder (BD) are evaluated on their scientific basis and clinical utility. The change in the diagnostic requirements for manic and hypomanic episodes has been much debated. Whether the current criteria have achieved an optimum balance between sensitivity and specificity is still not clear. The ICD-11 definition of depressive episodes is substantially different, but the lack of empirical support for the changes has meant that the reliability and utility of bipolar depression are relatively low. Unlike the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5), the ICD-11 has retained the category of mixed episodes. Although the concept of mixed episodes in the ICD-11 is not perfect, it appears to be more inclusive than the DSM-5 approach. Additionally, there are some uncertainties about the guidelines for the subtypes of BD and cyclothymic disorder. The initial results on the reliability and clinical utility of BD are promising, but the newly created diagnostic categories also appear to have some limitations. Although further improvement and research are needed, the focus should now be on facing the challenges of implementation, dissemination, and education and training in the use of these guidelines.
Collapse
Affiliation(s)
- Subho Chakrabarti
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, UT, India
| |
Collapse
|
6
|
Clinical correlates and prognostic impact of binge-eating symptoms in major depressive disorder. Int Clin Psychopharmacol 2022; 37:247-254. [PMID: 35815954 PMCID: PMC9521583 DOI: 10.1097/yic.0000000000000422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Binge-eating (BE) symptoms are relatively common in major depressive disorder (MDD), but their prognostic role is not fully understood. This study compared two groups of patients with MDD experiencing or not BE symptoms to ascertain differences in terms of clinical manifestations, presence of bipolar features, and antidepressant treatment outcomes. The study involved 482 outpatients collected within the Combining Medications to Enhance Depression Outcomes (CO-MED) trial, who were assessed with scales for depressive and hypomanic symptomatology, suicidality, comorbid mental disorders, and childhood traumas. BE symptoms were reported in 95 patients (20%). Patients with MDD experiencing BE symptoms were characterized by higher scores of negative self-outlook ( P = 0.0018), negative outlook of future ( P = 0.0014), irritability ( P = 0.0043), comorbid anxiety disorders (generalized anxiety disorder: P = 0.0006; panic disorder: P < 0.0001; social phobia: P < 0.0001), obsessive-compulsive disorder ( P = 0.0053), hypomanic symptoms (increased talkativeness: P = 0.0029; reduced need for sleep: P = 0.0171), and suicidality (suicidal propensity: P = 0.0013; suicidal risk: P = 0.0148; lifetime suicidal behavior: P = 0.0052). BE symptoms (OR = 2.02; 95% CI = 1.06-3.84) and depression severity (OR = 1.04; 95% CI = 1.00-1.08) were independently associated with lifetime attempted suicide. The presence of BE symptoms might indicate higher severity of depressive disorder. Suicidal risk is a major issue in these patients, whereas the association between BE and bipolar features needs further research.
Collapse
|
7
|
Coradduzza D, Garroni G, Congiargiu A, Balzano F, Cruciani S, Sedda S, Nivoli A, Maioli M. MicroRNAs, Stem Cells in Bipolar Disorder, and Lithium Therapeutic Approach. Int J Mol Sci 2022; 23:ijms231810489. [PMID: 36142403 PMCID: PMC9502703 DOI: 10.3390/ijms231810489] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 09/06/2022] [Accepted: 09/08/2022] [Indexed: 11/22/2022] Open
Abstract
Bipolar disorder (BD) is a severe, chronic, and disabling neuropsychiatric disorder characterized by recurrent mood disturbances (mania/hypomania and depression, with or without mixed features) and a constellation of cognitive, psychomotor, autonomic, and endocrine abnormalities. The etiology of BD is multifactorial, including both biological and epigenetic factors. Recently, microRNAs (miRNAs), a class of epigenetic regulators of gene expression playing a central role in brain development and plasticity, have been related to several neuropsychiatric disorders, including BD. Moreover, an alteration in the number/distribution and differentiation potential of neural stem cells has also been described, significantly affecting brain homeostasis and neuroplasticity. This review aimed to evaluate the most reliable scientific evidence on miRNAs as biomarkers for the diagnosis of BD and assess their implications in response to mood stabilizers, such as lithium. Neural stem cell distribution, regulation, and dysfunction in the etiology of BD are also dissected.
Collapse
Affiliation(s)
| | - Giuseppe Garroni
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | | | - Francesca Balzano
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Sara Cruciani
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Stefania Sedda
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Alessandra Nivoli
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy
- Correspondence: (A.N.); (M.M.); Tel.: +39-079-228-277 (A.N.); +39-079-255-406-228350 (M.M.)
| | - Margherita Maioli
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
- Center for Developmental Biology and Reprogramming (CEDEBIOR), Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100 Sassari, Italy
- Correspondence: (A.N.); (M.M.); Tel.: +39-079-228-277 (A.N.); +39-079-255-406-228350 (M.M.)
| |
Collapse
|
8
|
Patel R, Irving J, Brinn A, Taylor M, Shetty H, Pritchard M, Stewart R, Fusar-Poli P, McGuire P. Associations of presenting symptoms and subsequent adverse clinical outcomes in people with unipolar depression: a prospective natural language processing (NLP), transdiagnostic, network analysis of electronic health record (EHR) data. BMJ Open 2022; 12:e056541. [PMID: 35487729 PMCID: PMC9058769 DOI: 10.1136/bmjopen-2021-056541] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 04/08/2022] [Indexed: 12/05/2022] Open
Abstract
OBJECTIVE To investigate the associations of symptoms of mania and depression with clinical outcomes in people with unipolar depression. DESIGN A natural language processing electronic health record study. We used network analysis to determine symptom network structure and multivariable Cox regression to investigate associations with clinical outcomes. SETTING The South London and Maudsley Clinical Record Interactive Search database. PARTICIPANTS All patients presenting with unipolar depression between 1 April 2006 and 31 March 2018. EXPOSURE (1) Symptoms of mania: Elation; Grandiosity; Flight of ideas; Irritability; Pressured speech. (2) Symptoms of depression: Disturbed mood; Anhedonia; Guilt; Hopelessness; Helplessness; Worthlessness; Tearfulness; Low energy; Reduced appetite; Weight loss. (3) Symptoms of mania or depression (overlapping symptoms): Poor concentration; Insomnia; Disturbed sleep; Agitation; Mood instability. MAIN OUTCOMES (1) Bipolar or psychotic disorder diagnosis. (2) Psychiatric hospital admission. RESULTS Out of 19 707 patients, at least 1 depression, overlapping or mania symptom was present in 18 998 (96.4%), 15 954 (81.0%) and 4671 (23.7%) patients, respectively. 2772 (14.1%) patients subsequently developed bipolar or psychotic disorder during the follow-up period. The presence of at least one mania (HR 2.00, 95% CI 1.85 to 2.16), overlapping symptom (HR 1.71, 95% CI 1.52 to 1.92) or symptom of depression (HR 1.31, 95% CI 1.07 to 1.61) were associated with significantly increased risk of onset of a bipolar or psychotic disorder. Mania (HR 1.95, 95% CI 1.77 to 2.15) and overlapping symptoms (HR 1.76, 95% CI 1.52 to 2.04) were associated with greater risk for psychiatric hospital admission than symptoms of depression (HR 1.41, 95% CI 1.06 to 1.88). CONCLUSIONS The presence of mania or overlapping symptoms in people with unipolar depression is associated with worse clinical outcomes. Symptom-based approaches to defining clinical phenotype may facilitate a more personalised treatment approach and better predict subsequent clinical outcomes than psychiatric diagnosis alone.
Collapse
Affiliation(s)
- Rashmi Patel
- Department of Psychosis Studies, King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Jessica Irving
- Department of Psychosis Studies, King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Aimee Brinn
- Department of Psychosis Studies, King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Matthew Taylor
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Hitesh Shetty
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Megan Pritchard
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychological Medicine, King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Robert Stewart
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychological Medicine, King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| |
Collapse
|
9
|
Serretti A, De Ronchi D, Olgiati P. Irritable Mood and Subthreshold Hypomanic Episodes Correlate with More Severe Major Depression. Neuropsychobiology 2022; 80:425-436. [PMID: 33601366 DOI: 10.1159/000514127] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 12/29/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Irritable mood (IM) and subthreshold hypomanic symptoms are reported in half and two-fifths of major depressed subjects respectively, but their clinical and prognostic meanings remain unclear. The aim of this study was to test the clinical usefulness of 2 specifiers in DSM-IV major depressive disorder (MDD): IM occurring during an index episode (IM+) and lifetime episodes of elated mood or IM with at least 2 concurrent hypomanic symptoms (subthreshold hypomanic episodes [SHEs]). METHOD We included 482 outpatients with MDD participating in the Combining Medications to Enhance Depression Outcome study (mean age 43.14 ± 12.46 years, 144 males - 30%). The main aim of the original study was to test whether 2 different medications when given in combination as the first treatment step, compared to 1 medication, would improve antidepressant response. RESULTS IM + subjects (N = 349; 70%) were younger and more often females, with a more severe depression, a more marked social impairment, and more psychiatric comorbidities. The IM + group was also characterized by higher levels of suicidal ideation and more cases of emotional abuse. The combination of IM+ and SHEs was associated with an even more severe clinical picture. Limitations include the post hoc method, incomplete assessment of bipolar validators (e.g., family history of bipolar illness), personality disorders and suicide attempts. CONCLUSIONS The presence of IM and SHEs in MDD correlate with an overall more severe clinical condition.
Collapse
Affiliation(s)
- Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy,
| | - Diana De Ronchi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Paolo Olgiati
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| |
Collapse
|
10
|
Olgiati P, Serretti A. Post-traumatic stress disorder and childhood emotional abuse are markers of subthreshold bipolarity and worse treatment outcome in major depressive disorder. Int Clin Psychopharmacol 2022; 37:1-8. [PMID: 34686642 PMCID: PMC9648980 DOI: 10.1097/yic.0000000000000380] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 09/20/2021] [Indexed: 11/26/2022]
Abstract
Post-traumatic stress disorder (PTSD) and childhood maltreatment (CMT: parental neglect; emotional, physical and sexual abuse) have been linked to bipolar disorder but they are also common in major depressive disorder (MDD). Our objective was to investigate their association with the bipolar spectrum and antidepressant treatment outcome in 482 outpatients with DSM-IV MDD treated in the Combining Medications to Enhance Depression Outcomes trial for 28 weeks Bipolar spectrum score included age of onset <21 years, subthreshold hypomania (a period of elated or irritable mood with at least two concurrent hypomanic symptoms, which did not fulfill DSM criteria for hypomanic/manic episode) and depressive mixed state (DMX). PTSD subjects (n = 107; 22%) had more severe depression (P < 0.0001), work and social impairment (P = 0.0031), comorbid anxiety disorders (P < 0.0001) and increased suicidality (P = 0.0003). Bipolar spectrum score was higher with PTSD comorbidity (P = 0.0063) and childhood emotional abuse (P = 0.0001). PTSD comorbidity was associated with residual suicidality (P = 0.0218) after 6 weeks of antidepressant use whereas childhood emotional abuse [odds ratio (OR), 1.01-2.22], subthreshold hypomania (OR, 1.04-4.09) and DMX (OR, 1.00-4.19) were predictors of mood switch. These results corroborate the role of PTSD and childhood emotional abuse as markers of bipolar spectrum and prognostic factors during antidepressant treatment.
Collapse
Affiliation(s)
- Paolo Olgiati
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| |
Collapse
|
11
|
Lu Z, Wang Y, Xun G. Neurocognition Function of Patients With Bipolar Depression, Unipolar Depression, and Depression With Bipolarity. Front Psychiatry 2021; 12:696903. [PMID: 34393857 PMCID: PMC8355513 DOI: 10.3389/fpsyt.2021.696903] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/30/2021] [Indexed: 01/21/2023] Open
Abstract
Much evidence shows that some Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5)-defined unipolar depression (UD) with bipolarity manifests bipolar diathesis. Little is known about the cognitive profiles of patients with depression with bipolarity (DWB). The study aimed to investigate the differences in cognitive profiles among patients with bipolar depression (BD), major depressive disorder (namely, UD), and DWB. Drug-naïve patients with BD, UD, and DWB and healthy controls (HC) were recruited (30 cases in each group). Cognitive function was evaluated by THINC-it (THINC-intelligent tool), Wisconsin Card Sorting Test (WCST), and continuous performance test (CPT). For THINC-it, no significant differences of the Z-scores in both objective and subjective factors were found between the DWB group and BD group, but the Z-scores in the BD group were significantly lower than those in the UD group. For WCST, significant differences were found between the BD group and DWB group in the number of responses, categories completed, trails to completed first category, perseverative responses, and perseverative errors. All the indices of WCST in the DWB group were significantly worse than those in the UD group except for trails to completed first category and total number of response correct. For CPT, only scores of leakage responses and false responses in the four-digit number in the BD group and DWB group were significantly higher than those in the UD group; no significant difference was found between the BD group and DWB group. The results indicated that patients with DWB might perform differently from those with UD but similarly to those with BD with cognition impairment.
Collapse
Affiliation(s)
- Zhe Lu
- Cheeloo College of Medicine, Shandong University, Jinan, China
- Peking University Sixth Hospital, Institute of Mental Health, Peking University, Beijing, China
| | - Yingtan Wang
- Department of Mental Health, Jining Medical University, Jining, China
| | | |
Collapse
|
12
|
Baykara B, Koc D, Resmi H, Akan P, Tunca Z, Ozerdem A, Ceylan D, Yalcın NG, Binici NC, Guney SA, Mesman E, Hillegers MHJ, Emiroglu NI. Brain-derived neurotrophic factor in bipolar disorder: Associations with age at onset and illness duration. Prog Neuropsychopharmacol Biol Psychiatry 2021; 108:110075. [PMID: 32798619 DOI: 10.1016/j.pnpbp.2020.110075] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/21/2020] [Accepted: 08/11/2020] [Indexed: 01/09/2023]
Abstract
Bipolar disorder (BD) is a heterogeneous disorder that contains neurodevelopmental differences. Defining homogeneous subgroups of BD patients by using age at onset (AAO) as a specifier may promote the classification of biomarkers. This study compares peripheral BDNF levels between pediatric and adult BD patients to investigate the associations between BDNF levels, AAO, and illness duration. We enrolled two groups of euthymic patients, those with pediatric BD (n = 39) and those with adult BD (n = 31), as well as a group of healthy controls (HCs) (n = 90). Participants were assessed using clinical measures and BDNF serum levels were obtained using ELISA. We observed that BDNF levels were comparable between adult BD and HCs, but were clearly lower in pediatric BD than in HCs. In adult BD with AAO ≥30 years, BDNF levels were significantly higher than in adult BD with AAO <30 years. In pediatric BD, patients with prepubertal-onset had higher BDNF levels than those with pubertal-onset. BDNF levels demonstrated the accuracy of being able to distinguish pediatric BD from healthy controls in a receiver operating characteristic (ROC) curve analysis (area under the curve [AUC] = 0.792). In adult BD, higher BDNF levels were associated with later disease onset, but this was not the case in pediatric BD. Finally, reduced BDNF levels were associated with illness duration in adult BD. The findings indicate that BDNF levels in BD patients are associated with AAO. BDNF may, therefore, potentially serve as a developmental marker in BD, when AAO is taken into account.
Collapse
Affiliation(s)
- Burak Baykara
- Department of Child and Adolescent Psychiatry, Dokuz Eylul University, Izmir, Turkey
| | - Dogukan Koc
- Department of Child and Adolescent Psychiatry, Dokuz Eylul University, Izmir, Turkey.
| | - Halil Resmi
- Department of Biochemistry, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey
| | - Pınar Akan
- Department of Biochemistry, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey
| | - Zeliha Tunca
- Department of Psychiatry, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey
| | - Aysegul Ozerdem
- Department of Psychiatry, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA; Department of Neurosciences, Dokuz Eylul University, Health Sciences Institute, Izmir, Turkey
| | - Deniz Ceylan
- Department of Psychiatry, Izmir University of Economics, Faculty of Medicine, Izmir, Turkey
| | - Neslihan Gurz Yalcın
- Department of Psychiatry, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey
| | - Nagihan Cevher Binici
- Department of Child and Adolescent Psychiatry, University of Health Sciences Dr. Behcet Uz Child Disease and Pediatric Surgery Training and Research Hospital, Izmir, Turkey
| | - Sevay Alsen Guney
- Department of Child and Adolescent Psychiatry, Dokuz Eylul University, Izmir, Turkey
| | - Esther Mesman
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Manon H J Hillegers
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
| | | |
Collapse
|
13
|
Pham U, Skogseid IM, Pripp AH, Bøen E, Toft M. Impulsivity in Parkinson's disease patients treated with subthalamic nucleus deep brain stimulation-An exploratory study. PLoS One 2021; 16:e0248568. [PMID: 33711081 PMCID: PMC7954288 DOI: 10.1371/journal.pone.0248568] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 02/27/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Deep brain stimulation of the subthalamic nucleus (STN-DBS) is a recognized treatment in Parkinson's disease (PD). Knowledge is still limited regarding the possible impact of STN-DBS on personality traits and the personality characteristics of PD patients who undergo surgery. METHODS To assess personality traits in relation to STN-DBS we did an ancillary protocol as part of a prospective randomized study that compared two surgical strategies. Patients were assessed with the Temperament and Character Inventory (TCI), the Urgency, Premeditation, Perseverance and Sensation Seeking impulse behavior scale, the Eysenck Personality Questionnaire (EPQ) and the Toronto Alexithymia Scale preoperatively and after one year of STN-DBS. EPQ and TCI baseline scores were compared with mean scores of healthy reference populations. RESULTS After 12-months of STN-DBS, there was a significant decline in Persistence compared to baseline. Preoperatively, the STN-DBS patients had significantly lower Persistence and Self-Transcendence scores, and significantly higher scores on Novelty-Seeking, Self-Directedness, Cooperativeness and on Social Conformity than referenced populations. No difference was found in Neuroticism or Harm-Avoidance scores. The baseline prevalence of alexithymia was low and at 1-year follow-up there was no significant change in alexithymia scores. CONCLUSIONS We found a higher baseline level of impulsivity in PD patients who underwent STN-DBS. After one year of STN-DBS, our results indicated that the treatment may affect the patients' personality by increasing certain aspects of impulsivity. There was no effect on alexithymia. The preoperative personality profile of PD patients might influence the outcome of STN-DBS.
Collapse
Affiliation(s)
- U. Pham
- Division of Mental Health and Addiction, Psychosomatic and CL Psychiatry, Oslo University Hospital, Oslo, Norway
- * E-mail:
| | - I. M. Skogseid
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - A. H. Pripp
- Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
- Department of Biostatistics, Epidemiology and Health Economics, Oslo University Hospital, Oslo, Norway
| | - E. Bøen
- Division of Mental Health and Addiction, Psychosomatic and CL Psychiatry, Oslo University Hospital, Oslo, Norway
| | - M. Toft
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
| |
Collapse
|
14
|
Maes M, Moraes JB, Bonifacio KL, Barbosa DS, Vargas HO, Michelin AP, Nunes SOV. Towards a new model and classification of mood disorders based on risk resilience, neuro-affective toxicity, staging, and phenome features using the nomothetic network psychiatry approach. Metab Brain Dis 2021; 36:509-521. [PMID: 33411213 DOI: 10.1007/s11011-020-00656-6] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 12/08/2020] [Indexed: 12/27/2022]
Abstract
Current diagnoses of mood disorders are not cross validated. The aim of the current paper is to explain how machine learning techniques can be used to a) construct a model which ensembles risk/resilience (R/R), adverse outcome pathways (AOPs), staging, and the phenome of mood disorders, and b) disclose new classes based on these feature sets. This study was conducted using data of 67 healthy controls and 105 mood disordered patients. The R/R ratio, assessed as a combination of the paraoxonase 1 (PON1) gene, PON1 enzymatic activity, and early life time trauma (ELT), predicted the high-density lipoprotein cholesterol - paraoxonase 1 complex (HDL-PON1), reactive oxygen and nitrogen species (RONS), nitro-oxidative stress toxicity (NOSTOX), staging (number of depression and hypomanic episodes and suicidal attempts), and phenome (the Hamilton Depression and Anxiety scores and the Clinical Global Impression; current suicidal ideation; quality of life and disability measurements) scores. Partial Least Squares pathway analysis showed that 44.2% of the variance in the phenome was explained by ELT, RONS/NOSTOX, and staging scores. Cluster analysis conducted on all those feature sets discovered two distinct patient clusters, namely 69.5% of the patients were allocated to a class with high R/R, RONS/NOSTOX, staging, and phenome scores, and 30.5% to a class with increased staging and phenome scores. This classification cut across the bipolar (BP1/BP2) and major depression disorder classification and was more distinctive than the latter classifications. We constructed a nomothetic network model which reunited all features of mood disorders into a mechanistically transdiagnostic model.
Collapse
Affiliation(s)
- Michael Maes
- Department of Psychiatry, Faculty of Medicine, King Chulalongkorn Memorial Hospital, Chulalongkorn University, Bangkok, Thailand.
- Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria.
- IMPACT Strategic Research Centre, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia.
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
| | - Juliana Brum Moraes
- Health Sciences Graduate Program, Health Sciences Center, State University of Londrina, Av. Robert Koch 60, Londrina, PR, 86035-380, Brazil
| | - Kamila Landucci Bonifacio
- Health Sciences Graduate Program, Health Sciences Center, State University of Londrina, Av. Robert Koch 60, Londrina, PR, 86035-380, Brazil
| | - Decio Sabbatini Barbosa
- Health Sciences Graduate Program, Health Sciences Center, State University of Londrina, Av. Robert Koch 60, Londrina, PR, 86035-380, Brazil
| | - Heber Odebrecht Vargas
- Health Sciences Graduate Program, Health Sciences Center, State University of Londrina, Av. Robert Koch 60, Londrina, PR, 86035-380, Brazil
| | - Ana Paula Michelin
- Health Sciences Graduate Program, Health Sciences Center, State University of Londrina, Av. Robert Koch 60, Londrina, PR, 86035-380, Brazil
| | - Sandra Odebrecht Vargas Nunes
- Health Sciences Graduate Program, Health Sciences Center, State University of Londrina, Av. Robert Koch 60, Londrina, PR, 86035-380, Brazil
| |
Collapse
|
15
|
Çörekçioğlu S, Cesur E, Devrim Balaban Ö. Relationship between impulsivity, comorbid anxiety and neurocognitive functions in bipolar disorder. Int J Psychiatry Clin Pract 2021; 25:62-72. [PMID: 33063587 DOI: 10.1080/13651501.2020.1833040] [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] [Indexed: 10/23/2022]
Abstract
OBJECTIVE The aim of the study is to examine the relationship between anxiety and impulsivity and to reveal the correlation of these variables with clinical and sociodemographic features. It is also aimed to investigate the relationship between impulsivity and anxiety with neurocognitive functions in bipolar disorder. METHODS The sample of the study comprises of 71 patients with bipolar disorder type I without any comorbidity (BD), 37 patients with anxiety disorder comorbidity with bipolar disorder type I (BDAD), 52 patients with anxiety disorder (AD) and 50 healthy controls (HC). Participants completed Barratt Impulsivity Scale-11, State-Trait Anxiety Inventory 1-2, Panic Disorder Severity Scale (PDSS), brief version of Fear of Negative Evaluation Scale (FNES), Anxiety Sensitivity Index-3 (ASI-3), Trail-Making Test A-B, Digit Span Test, Stroop Test. RESULTS PDSS scores, trait anxiety level, hypomanic and mixed episode numbers explain 26% of attention impulsivity. Gender and ASI-3 social dimensions explain 16% of motor impulsivity. Trait anxiety explains non-planning and total impulsivity at 26 and 24%, respectively. When neurocognitive impairment's effect was controlled, it was found AD and BDAD groups had higher impulsivity levels than the BD and HC groups. CONCLUSION Anxiety disorder comorbidity increases impulsivity in bipolar disorder.KEYPOINTSIn the presence of anxiety disorder spectrum comorbidity, bipolar disorder patients will have increased impulsivity and the clinical course may be more severe.Trait anxiety levels and anxiety sensitivity may be predictive factors for impulsivity.In the presence of anxiety disorder spectrum comorbidity, it should be taken into consideration that these patients may be more impulsive and should be treated with more care in terms of evaluation of the disorder.
Collapse
Affiliation(s)
| | - Ender Cesur
- The Council of Forensic Medicine, Istanbul, Turkey
| | - Özlem Devrim Balaban
- Bakırköy Research & Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
| |
Collapse
|
16
|
Goldberg JF, Siu C, Mao Y, Tsai J, Pikalov A, Calabrese JR, Loebel A. Major depressive disorder with mixed features and treatment response to lurasidone: A symptom network model. J Affect Disord 2020; 277:1045-1054. [PMID: 33065813 DOI: 10.1016/j.jad.2020.08.048] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 06/07/2020] [Accepted: 08/20/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND To investigate the symptom network structure of major depressive disorder (MDD) with mixed features and implications for treatment. METHODS In this post-hoc analysis of a previously reported randomized trial, patients meeting DSM-IV-TR criteria for MDD presenting with two or three manic symptoms (DSM-5 mixed features specifier) were randomized to 6 weeks of double-blind treatment with lurasidone 20-60 mg/d (N = 109) or placebo (N = 100). The network structure of symptoms at baseline and their treatment moderating effects were investigated. RESULTS Network analyses showed that both ``elevated mood'' (YMRS item 1) and ``increased motor activity-energy'' (YMRS item 2) were associated with ``sleep disturbance'' ("bridge" symptom) and the depressive symptom cluster. Presence of both "elevated mood" and "increased motor activity-energy" at baseline predicted significantly less improvement in MADRS and CGI-S score at week 6 with lurasidone (vs. placebo) compared to patients without these manic symptoms at baseline. The network model also showed "rapid/pressured speech" (YMRS item 6) at baseline predicted improvement in both manic and depressive symptoms with lurasidone vs. placebo treatment. LIMITATIONS This was a post-hoc analysis where findings need to be confirmed by prospective controlled studies. CONCLUSIONS This post-hoc analysis describes the symptom network structure of MDD with mixed features in a patient sample at study baseline. Specific manic symptoms were found to be linked to sleep disturbance (characterized as a "bridge" symptom), which in turn linked the manic and depressive symptom clusters. The presence (vs. absence) of the specific manic symptoms we identified moderated the antidepressant and antimanic effects of lurasidone in the treatment of MDD with mixed (subthreshold hypomanic) features.
Collapse
Affiliation(s)
- Joseph F Goldberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY.
| | | | - Yongcai Mao
- Sunovion Pharmaceuticals Inc., Marlborough, MA and Fort Lee, NJ
| | - Joyce Tsai
- Sunovion Pharmaceuticals Inc., Marlborough, MA and Fort Lee, NJ
| | - Andrei Pikalov
- Sunovion Pharmaceuticals Inc., Marlborough, MA and Fort Lee, NJ
| | - Joseph R Calabrese
- University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Antony Loebel
- Sunovion Pharmaceuticals Inc., Marlborough, MA and Fort Lee, NJ
| |
Collapse
|
17
|
Alciati A, Atzeni F, Caldirola D, Perna G, Sarzi-Puttini P. The Co-Morbidity between Bipolar and Panic Disorder in Fibromyalgia Syndrome. J Clin Med 2020; 9:jcm9113619. [PMID: 33182759 PMCID: PMC7697979 DOI: 10.3390/jcm9113619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 10/30/2020] [Accepted: 11/05/2020] [Indexed: 11/29/2022] Open
Abstract
About half of the patients with fibromyalgia (FM) had a lifetime major depression episode and one third had a panic disorder (PD). Because the co-morbidity between bipolar disorder (BD) and PD marks a specific subtype of BD we aimed to investigate if co-morbid BD/PD (comBD/PD) occurs more frequently than the single disorder in FM patients and evaluate the clinical significance and timing of this co-morbidity. Further, we explored the role of co-morbid subthreshold BD and PD. In 118 patients with FM, lifetime threshold and sub-threshold mood disorders and PD were diagnosed with Diagnostic and Statistical Manual of Mental Disorders-IV-Text Revision (DSM-IV-TR) Clinical Interview. Demographic and clinical variables were compared in co-morbid BD/PD (comBD/PD) and not co-morbid BD/PD (nocomBD/PD) subgroups. The co-morbidity BD/PD was seen in 46.6% of FM patients and in 68.6% when patients with minor bipolar (MinBD) and sub-threshold panic were included. These rates are higher than those of the general population and BD outpatients. There were no statistically significant differences between threshold and sub-threshold comBD/PD and nocom-BD/PD subgroups in demographic and clinical parameters. In the majority of patients (78.2%), the onset of comBD/PD preceded or was contemporary with FM. These findings support the hypothesis that comBD/PD is related to the development of FM in a subgroup of patients.
Collapse
Affiliation(s)
- Alessandra Alciati
- Department of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, Albese con Cassano, via Roma 16, 22032 Como, Italy; (D.C.); (G.P.)
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve, Emanuele-Milan, Italy
- Correspondence:
| | - Fabiola Atzeni
- Rheumatology Unit, Department of Internal Medicine, University of Messina, Via Consolare Valeria 1, 98100 Messina, Italy;
| | - Daniela Caldirola
- Department of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, Albese con Cassano, via Roma 16, 22032 Como, Italy; (D.C.); (G.P.)
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve, Emanuele-Milan, Italy
| | - Giampaolo Perna
- Department of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, Albese con Cassano, via Roma 16, 22032 Como, Italy; (D.C.); (G.P.)
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve, Emanuele-Milan, Italy
- Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, University of Maastricht, 6200 Maastricht, The Netherlands
- Department of Psychiatry and Behavioral Sciences, Leonard Miller School of Medicine, University of Miami, Miami, FL 33136-1015, USA
| | - Piercarlo Sarzi-Puttini
- Rheumatology Unit, Internal Medicine Department, ASST Fatebenefratelli-Sacco, Via GB Grassi 74, 20157 Milan, Italy;
| |
Collapse
|
18
|
Temperament, Character, and Defense Mechanism Changes With Treatment in Depression: A 9-Month Naturalistic Follow-up. J Nerv Ment Dis 2020; 208:403-412. [PMID: 32079864 DOI: 10.1097/nmd.0000000000001142] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The aim of this study was to evaluate the changes in temperament, character, and defense mechanisms with the treatment and remission in patients with major depressive disorder. The study was designed as a longitudinal observational follow-up study of patients with repeated measures at 0, 12, and 36 weeks. In baseline comparisons, the major depression group showed higher harm avoidance and novelty seeking scores and lower self-directness and mature defense styles scores compared with healthy controls. In the follow-up, temperament dimensions and neurotic defenses remained unchanged, mature defense styles and self-directness revealed significant increase, and immature defense styles revealed significant decrease. Although there was no significant difference in the defense styles, harm avoidance and novelty seeking scores remained higher in MDD patients compare with healthy controls in 36 weeks. Our findings regarding continuation of hierarchically upward improvement in defense mechanism after the remission may support importance of treatment after remission.
Collapse
|
19
|
Pini S, Abelli M, Gesi C, Lari L, Cardini A, Di Paolo L, Felice F, Di Stefano R, Mazzotta G, Oligeri C, Bovenzi F, Borelli L, Bertoli D, Michi P, Muccignat A, Micchi J, Balbarini A. Frequency and clinical correlates of bipolar features in acute coronary syndrome patients. Eur Psychiatry 2020; 29:253-8. [DOI: 10.1016/j.eurpsy.2013.06.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2013] [Revised: 06/24/2013] [Accepted: 06/30/2013] [Indexed: 01/01/2023] Open
Abstract
AbstractBackground:Depression and acute coronary syndrome (ACS) are both extremely prevalent diseases. Studies aimed at evaluating whether depression is an independent risk factor for cardiac events provided no definitive results. In most of these studies, depression has been broadly defined with no differentiation between unipolar (MDD) versus bipolar forms (BD). The aim of this study was to evaluate the frequency of DSM-IV BD (bipolar I and bipolar II subtypes, cyclothymia), as well as temperamental or isolated bipolar features in a sample of 171 patients hospitalized for ACS. We also explored whether these psychopathological conditions were associated with some clinical characteristics of ACS.Methods:Patients with ACS admitted to three neighboring Cardiac Intensive Care Units (CICUs) in a 12-month continuative period of time were eligible for inclusion if they met the criteria for either acute myocardial infarct with or without ST-segment elevation or unstable angina, verified by standard ACS criteria. All patients underwent standardized cardiological and psychopathological evaluations.Results:Of the 171 ACS patients enrolled, 37 patients (21.7%) were found to have a DSM-IV mood disorder. Of these, 20 (11.7%) had bipolar type I or type II or cyclothymia, while 17 (10%) were the cases of MDD. Rapid mood switches ranged from 11% of ACS patients with no mood disorders, to 47% of those with MDD to 55% of those with BD. Linear regression analysis showed that a diagnosis of BD (p = .023), but not that of MDD (p = .721), was associated with a significant younger age at the index episode of ACS. A history of previous coronary events was more frequent in ACS patients with BD than in those with MDD.Conclusions:Our data indicate that bipolar features and diagnosis are frequent in ACS patients. Bipolar disorder has a negative impact on cardiac symptomatology. Further research in this area is warranted.
Collapse
|
20
|
Anand V, Hu B, Anand A. Smartphone Monitoring of Mood Instability in Young Depressed Patients: A Latent-class Analyses. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2020; 2019:220-227. [PMID: 32308814 PMCID: PMC7153103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
UNLABELLED This study captured daily and weekly mood ratings using a smartphone from bipolar disorder (BD) and unipolar major depression disorder (MDD) subjects at high (HRMDD) and low risk (LRMDD) for developing Bipolar Disorder (BD) and healthy controls (HC). METHOD 40 subjects (18 - 30 yr) (6 BD, 13 HRMDD, 16 LRMDD and 5 HC) were studied and a total of 2401 daily and 744 weekly ratings were collected. HRMDD and LRMDD subjects were naturalistically treated with antidepressants. We investigate if latent-class analyses of ratings can detect mood instability among MDD and BD groups. RESULTS Our analyses revealed four underlying mood states correlating with clinical mood states. There was a trend for greater number of state changes in BD and HRMDD subjects compared to LRMDD and HC groups. CONCLUSION Smartphone ratings may adequately capture mood instability in BD subjects and at risk HRMDD subjects and offers a prudent way for monitoring development of serious manic symptoms.
Collapse
Affiliation(s)
- Vibha Anand
- Center for Computational Health, IBM T.J. Watson Research Center, Cambridge, MA, USA
| | - Bo Hu
- Quantitative Health Sciences, Cleveland Clinic, Ohio, USA
| | - Amit Anand
- Center for Behavioral Health, Cleveland Clinic Foundation, Ohio, USA
| |
Collapse
|
21
|
Abstract
Mixed states are frequent clinical pictures in psychiatric practice but are not well described in nosologic systems. Debate exists as to defining mixed states. We review factor and cluster analytical studies and prominent clinical/conceptual models of mixed states. While mania involves standard manic symptoms and depression involves standard depressive symptoms, core additional features of the mixed state are, primarily, psychomotor activation and, secondarily, dysphoria. Those features are more pronounced in mixed mania than in mixed depression but are present in both.
Collapse
Affiliation(s)
- Sergio A Barroilhet
- Clínica Psiquiátrica Universitaria, Facultad Medicina Universidad de Chile, Santiago, Chile; Department of Psychiatry, Tufts University, School of Medicine, Tufts Medical Center, Pratt Building, 3rd Floor, 800 Washington Street, Box 1007, Boston, MA 02111, USA.
| | - S Nassir Ghaemi
- Department of Psychiatry, Tufts University, School of Medicine, Tufts Medical Center, Pratt Building, 3rd Floor, 800 Washington Street, Box 1007, Boston, MA 02111, USA; Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA
| |
Collapse
|
22
|
Hori A, Takebayashi Y, Tsubokura M, Kim Y. Efficacy of prolonged exposure therapy for a patient with late-onset PTSD affected by evacuation due to the Fukushima nuclear power plant accident. BMJ Case Rep 2019; 12:12/12/e231960. [PMID: 31888897 PMCID: PMC6936524 DOI: 10.1136/bcr-2019-231960] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Trauma-focused cognitive–behavioural therapy (TF-CBT), such as prolonged exposure therapy, is a first-line treatment for post-traumatic stress disorder (PTSD). However, adapting TF-CBT as an intervention in situations with limited resources, such as in disaster settings, is problematic. This case report concerns a Japanese man in his 30s who was diagnosed with late-onset PTSD 5 years after the 2011 Great East Japan Earthquake. The onset and progression of his symptoms were heavily affected by changes in his life after evacuation due to the postearthquake nuclear power plant accident. We were able to successfully implement structured CBT and help the patient better cope with his symptoms in a disaster-stricken location. CBT for PTSD includes exposure to traumatic memories, which may lead to worsening of PTSD symptoms, but we were able to administer the therapy successfully with clinical support through the use of modern information and communication technology.
Collapse
Affiliation(s)
- Arinobu Hori
- Department of Psychiatry, Hori Mental Clinic, Minami-Soma, Fukushima, Japan
| | - Yoshitake Takebayashi
- Department of Health Risk Communication, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Masaharu Tsubokura
- Department of Public Health, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Yoshiharu Kim
- National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| |
Collapse
|
23
|
Bruce HA, Kochunov P, Mitchell B, Strauss KA, Ament SA, Rowland LM, Du X, Fisseha F, Kavita T, Chiappelli J, Wisner K, Sampath H, Chen S, Kvarta MD, Seneviratne C, Postolache TT, Bellon A, McMahon FJ, Shuldiner A, Elliot Hong L. Clinical and genetic validity of quantitative bipolarity. Transl Psychiatry 2019; 9:228. [PMID: 31527585 PMCID: PMC6746871 DOI: 10.1038/s41398-019-0561-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 03/04/2019] [Accepted: 04/10/2019] [Indexed: 12/19/2022] Open
Abstract
Research has yet to provide a comprehensive understanding of the genetic basis of bipolar disorder (BP). In genetic studies, defining the phenotype by diagnosis may miss risk-allele carriers without BP. The authors aimed to test whether quantitatively detected subclinical symptoms of bipolarity identifies a heritable trait that infers risk for BP. The Quantitative Bipolarity Scale (QBS) was administered to 310 Old Order Amish or Mennonite individuals from multigenerational pedigrees; 110 individuals had psychiatric diagnoses (20 BP, 61 major depressive disorders (MDD), 3 psychotic disorders, 26 other psychiatric disorders). Familial aggregation of QBS was calculated using the variance components method to derive heritability and shared household effects. The QBS score was significantly higher in BP subjects (31.5 ± 3.6) compared to MDD (16.7 ± 2.0), other psychiatric diagnoses (7.0 ± 1.9), and no psychiatric diagnosis (6.0 ± 0.65) (all p < 0.001). QBS in the whole sample was significantly heritable (h2 = 0.46 ± 0.15, p < 0.001) while the variance attributed to the shared household effect was not significant (p = 0.073). When subjects with psychiatric illness were removed, the QBS heritability was similar (h2 = 0.59 ± 0.18, p < 0.001). These findings suggest that quantitative bipolarity as measured by QBS can separate BP from other psychiatric illnesses yet is significantly heritable with and without BP included in the pedigrees suggesting that the quantitative bipolarity describes a continuous heritable trait that is not driven by a discrete psychiatric diagnosis. Bipolarity trait assessment may be used to supplement the diagnosis of BP in future genetic studies and could be especially useful for capturing subclinical genetic contributions to a BP phenotype.
Collapse
Affiliation(s)
- Heather A. Bruce
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Peter Kochunov
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Braxton Mitchell
- 0000 0001 2175 4264grid.411024.2Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Kevin A. Strauss
- grid.418640.fClinic for Special Children, Strasburg, PA 17579 USA
| | - Seth A. Ament
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Laura M. Rowland
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Xiaoming Du
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Feven Fisseha
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Thangavelu Kavita
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Joshua Chiappelli
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Krista Wisner
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Hemalatha Sampath
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Shuo Chen
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Mark D. Kvarta
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Chamindi Seneviratne
- 0000 0001 2175 4264grid.411024.2Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Teodor T. Postolache
- 0000 0001 2175 4264grid.411024.2Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - Alfredo Bellon
- 0000 0001 2097 4281grid.29857.31Hershey Medical Center, Department of Psychiatry, Penn State University School of Medicine, Hershey, PA 17033 USA
| | - Francis J. McMahon
- 0000 0004 0464 0574grid.416868.5Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD 20892 USA
| | - Alan Shuldiner
- 0000 0001 2175 4264grid.411024.2Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| | - L. Elliot Hong
- 0000 0001 2175 4264grid.411024.2Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228 USA
| |
Collapse
|
24
|
Sub-threshold bipolar disorder in medication-free young subjects with major depression: Clinical characteristics and antidepressant treatment response. J Psychiatr Res 2019; 110:1-8. [PMID: 30579045 DOI: 10.1016/j.jpsychires.2018.12.006] [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: 08/05/2018] [Revised: 12/03/2018] [Accepted: 12/06/2018] [Indexed: 11/20/2022]
Abstract
BACKGROUND This study, for the first time, compared illness and antidepressant response characteristics of young subjects with major depression (MDD) at low (LRMDD) or high-risk (HRMDD) for developing bipolar disorder with characteristics of young bipolar (BPD) subjects and healthy controls (HC). METHODS One hundred and six young (15-30 yr), medication-free subjects MDD subjects (HRMDD, N = 51; LRMDD, N = 55) were compared with 32 BPD (Type I: 14; Type II: 18) as well as 49 HC subjects. Baseline illness characteristics and frequency of comorbid conditions were examined using Analysis of Variance and Cochran-Armitage trend test. Additionally, in MDD subjects, the effect of open-label antidepressant treatment for up to 24 months with periodic assessments was compared between HRMDD and LRMDD groups for treatment response, remission and (hypo)mania switch while controlling for attrition. RESULTS Significant gradation from LRMDD to HRMDD to BPD groups was found for increasing occurrence of alcohol dependence (p = 0.006), comorbid PTSD (p = 0.006), borderline personality traits (p = 0.001), and occurrence of melancholic features (p < 0.005). Antidepressant treatment response was similar between the two groups except that for the 12-month period HRMDD showed a trend for a lower response. Switch to (hypo)mania was infrequent in both groups though the HRMDD showed a higher occurrence of spikes in (hypo)mania symptoms (>25% increase in YMRS scores)(p = 0.04). CONCLUSION Findings of the study indicate that a substantial proportion of young MDD subjects share BPD illness characteristics. These HRMDD subjects, if treated with antidepressants, need to be monitored for development of BPD. TRIAL REGISTRATION NCT01811147.
Collapse
|
25
|
Chakrabarty T, Yatham LN. Objective and biological markers in bipolar spectrum presentations. Expert Rev Neurother 2019; 19:195-209. [PMID: 30761925 DOI: 10.1080/14737175.2019.1580145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Subthreshold presentations of bipolarity (BSPs) pose a diagnostic conundrum, in terms of whether they should be conceptualized and treated similarly as traditionally defined bipolar disorders (BD). While it has been argued that BSPs are on a pathophysiologic continuum with traditionally defined BDs, there has been limited examination of biological and objective markers in these presentations to validate this assertion. Areas covered: The authors review studies examining genetic, neurobiological, cognitive and peripheral markers in BSPs, encompassing clinical and non-clinical populations with subthreshold hypo/manic symptoms. Results are placed in the context of previously identified markers in traditionally defined BDs. Expert commentary: There have been few studies of objective and biological markers in subthreshold presentations of BD, and results are mixed. While abnormalities in brain structure/functioning, peripheral inflammatory, and cognitive markers have been reported, it is unclear whether these findings are specific to BD or indicative of broad affective pathology. However, some studies suggest that increased sensitivity to reward and positive stimuli are shared between subthreshold and traditionally defined BDs, and may represent a point of departure from unipolar major depression. Further examination of such markers may improve understanding of subthreshold bipolar presentations, and provide guidance in terms of therapeutic strategies.
Collapse
Affiliation(s)
- Trisha Chakrabarty
- a Department of Psychiatry , University of British Columbia , Vancouver , BC , Canada
| | - Lakshmi N Yatham
- a Department of Psychiatry , University of British Columbia , Vancouver , BC , Canada
| |
Collapse
|
26
|
Bipolar features in major depressive disorder: Results from the Iranian mental health survey (IranMHS). J Affect Disord 2018; 241:319-324. [PMID: 30142591 DOI: 10.1016/j.jad.2018.08.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 07/11/2018] [Accepted: 08/07/2018] [Indexed: 01/26/2023]
Abstract
BACKGROUND Past research suggests that individuals suffering from depressive disorders with bipolar features might have different clinical outcomes resembling bipolar disorders. The objectives of this study are to determine the prevalence of bipolar features among individuals meeting the criteria for 12-month major depressive disorder (MDD) in the Iranian population and to examine the demographic and clinical characteristics associated with these features. METHODS Data were drawn from the Iranian Mental Health Survey (IranMHS), a representative household survey of the Iranian population aged 15-64 years. The study sample consisted of all individuals with a 12-month MDD (n = 1014) ascertained by the Composite International Diagnostic Interview (CIDI 2.1) without a lifetime history of bipolar I or II disorders. Mood Disorder Questionnaire (MDQ) was used to screen for the lifetime history of bipolar features among participants with MDD. RESULTS Among participants meeting the 12-month MDD criteria, 22.1% (95% CI: 19.6-24.7) had a lifetime history of bipolar features. Compared with those without these features, participants with bipolar features had higher odds of endorsing suicidal ideations and suicide attempts, comorbid anxiety and substance use disorders, severe impairment, history of psychotic symptoms, some features of atypical depression and fewer depressive symptoms. Associations with comorbid anxiety disorders [Odds Ratio (OR) = 1.43; 95% confidence interval (CI): 1.00-2.03] and history of psychotic symptoms (OR = 2.63 95% CI: 1.81-3.81) persisted in multivariable models. LIMITATION Relying on self-reports of lifetime bipolar symptoms which is open to recall bias, and cross-sectional study design which limits interpretation of outcome and course of MDD are two major limitations of this study. CONCLUSION The presence of bipolar features is associated with a distinct demographic and clinical profile in MDD. Identifying these cases would enhance the homogeneity of the depressive disorder phenotype in general population surveys. Identifying MDD patients with these features has potential clinical implications.
Collapse
|
27
|
Korgaonkar MS, Erlinger M, Breukelaar IA, Boyce P, Hazell P, Antees C, Foster S, Grieve SM, Gomes L, Williams LM, Harris AWF, Malhi GS. Amygdala Activation and Connectivity to Emotional Processing Distinguishes Asymptomatic Patients With Bipolar Disorders and Unipolar Depression. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 4:361-370. [PMID: 30343134 DOI: 10.1016/j.bpsc.2018.08.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/06/2018] [Accepted: 08/18/2018] [Indexed: 02/01/2023]
Abstract
BACKGROUND Mechanistically based neural markers, such as amygdala reactivity, offer one approach to addressing the challenges of differentiating bipolar and unipolar depressive disorders independently from mood state and acute symptoms. Although emotion-elicited amygdala reactivity has been found to distinguish patients with bipolar depression from patients with unipolar depression, it remains unknown whether this distinction is traitlike and present in the absence of an acutely depressed mood. We addressed this gap by investigating patients with bipolar disorder (BP) and unipolar major depressive disorder (MDD) in remission. METHODS Supraliminal and subliminal processing of faces exhibiting threat, sad, happy, and neutral emotions during functional magnetic resonance imaging was completed by 73 participants (23 BP patients and 25 MDD patients matched for age and gender, number of depressive episodes and severity; 25 age- and gender-matched healthy control subjects). We compared groups for activation and connectivity for the amygdala. RESULTS BP patients had lower left amygdala activation than MDD patients during supraliminal and subliminal threat, sad, and neutral emotion processing and for subliminal happy faces. BP patients also exhibited lower amygdala connectivity to the insula and hippocampus for threat and to medial orbitofrontal cortex for happy supraliminal and subliminal processing. BP patients also demonstrated greater amygdala-insula connectivity for sad supraliminal and subliminal face processing. Both patient groups were distinct from control subjects across several measures for activation and connectivity. CONCLUSIONS Independent of valence or level of emotional awareness, amygdala activation and connectivity during facial emotion processing can distinguish BP patients and MDD patients. These findings provide evidence that this neural substrate could be a potential trait marker to differentiate these two disorders largely independent of illness state.
Collapse
Affiliation(s)
- Mayuresh S Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia; Discipline of Psychiatry, University of Sydney School of Medicine, New South Wales, Australia.
| | - May Erlinger
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia
| | - Isabella A Breukelaar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia
| | - Philip Boyce
- Discipline of Psychiatry, University of Sydney School of Medicine, New South Wales, Australia
| | - Philip Hazell
- Discipline of Psychiatry, University of Sydney School of Medicine, New South Wales, Australia
| | - Cassandra Antees
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia
| | - Sheryl Foster
- Department of Radiology, Westmead Hospital, Westmead, New South Wales, Australia; Discipline of Medical Radiation Sciences, Faculty of Health Science, The University of Sydney, New South Wales, Australia
| | - Stuart M Grieve
- Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre and University of Sydney School of Medicine, New South Wales, Australia; Department of Radiology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Lavier Gomes
- Department of Radiology, Westmead Hospital, Westmead, New South Wales, Australia
| | - Leanne M Williams
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia; Psychiatry and Behavioral Sciences, Stanford University, Stanford, Palo Alto, California; Sierra-Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto Veterans Affairs Health Care System, Palo Alto, California
| | - Anthony W F Harris
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia; Discipline of Psychiatry, University of Sydney School of Medicine, New South Wales, Australia
| | - Gin S Malhi
- Discipline of Psychiatry, University of Sydney School of Medicine, New South Wales, Australia; Clinical Assessment Diagnostic Evaluation (CADE) Clinic, Department of Psychiatry, Royal North Shore Hospital, Sydney, New South Wales, Australia
| |
Collapse
|
28
|
McIntyre RS, Young AH, Haddad PM. Rethinking the spectrum of mood disorders: implications for diagnosis and management - Proceedings of a symposium presented at the 30th Annual European College of Neuropsychopharmacology Congress, 4 September 2017, Paris, France. Ther Adv Psychopharmacol 2018; 8:1-16. [PMID: 29977518 PMCID: PMC6022880 DOI: 10.1177/2045125318762911] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 02/09/2018] [Indexed: 12/17/2022] Open
Abstract
The simultaneous occurrence of manic and depressive features has been recognized since classical times, but the term 'mixed state' was first used by Kraepelin at the end of the 19th century. From the 1980s, until the advent of the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5), psychiatric disorders were classified using a categorical approach. However, it was recognized that such an approach was too rigid to encompass the range of symptomatology encountered in clinical practice. Therefore, a dimensional approach was adopted in DSM-5, in which affective states are considered to be distributed across a continuum ranging from pure mania to pure depression. In addition, the copresence of symptoms of the opposite pole are captured using a 'with mixed features' specifier, applied when three or more nonoverlapping subthreshold symptoms of the opposite pole are present. Mixed features are common in patients with mood episodes, complicating the course of illness, reducing treatment response and worsening outcomes. However, research in this area is scarce and treatment options are limited. Current evidence indicates that antidepressants should be avoided for the treatment of bipolar mixed states. Evidence for bipolar mixed states supports the use of several second-generation antipsychotics, valproate and electroconvulsive therapy. One randomized controlled trial has demonstrated the efficacy of lurasidone, compared with placebo, in patients with major depressive disorder with mixed features, and there is limited evidence supporting the use of ziprasidone in such patients. Further research is required to determine whether other antipsychotic agents, or additional therapeutic approaches, might also be effective in this setting.
Collapse
Affiliation(s)
- Roger S McIntyre
- UHN-Toronto Western Hospital, Mood Disorders Psychopharmacology Unit, University of Toronto, 399 Bathurst Street, Toronto, ON M5T 2S8, Canada
| | - Allan H Young
- Department of Psychological Medicine, King's College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - Peter M Haddad
- Neuroscience and Psychiatry Unit, University of Manchester, Manchester, UK
| |
Collapse
|
29
|
Global grey matter volume in adult bipolar patients with and without lithium treatment: A meta-analysis. J Affect Disord 2018; 225:599-606. [PMID: 28886501 DOI: 10.1016/j.jad.2017.08.078] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 07/20/2017] [Accepted: 08/27/2017] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The goal of this meta-analysis was to quantitatively summarize the evidence available on the differences in grey matter volume between lithium-treated and lithium-free bipolar patients. METHODS A systematic search was conducted in Cochrane Central, Embase, MEDLINE, and PsycINFO databases for original peer-reviewed journal articles that reported on global grey matter volume in lithium-medicated and lithium-free bipolar patients. Standard mean difference and Hedges' g were used to calculate effect size in a random-effects model. Risk of publication bias was assessed using Egger's test and quality of evidence was assessed using standard criteria. RESULTS There were 15 studies with a total of 854 patients (368 lithium-medicated, 486 lithium-free) included in the meta-analysis. Global grey matter volume was significantly larger in lithium-treated bipolar patients compared to lithium-free patients (SMD: 0.17, 95% CI: 0.01-0.33; z = 2.11, p = 0.035). Additionally, there was a difference in global grey matter volume between groups in studies that employed semi-automated segmentation methods (SMD: 0.66, 95% CI: 0.01-1.31; z = 1.99, p = 0.047), but no significant difference in studies that used fully-automated segmentation. No publication bias was detected (bias coefficient = - 0.65, p = 0.46). LIMITATIONS Variability in imaging methods and lack of high-quality evidence limits the interpretation of the findings. CONCLUSIONS Results suggest that lithium-treated patients have a greater global grey matter volume than those who were lithium-free. Further study of the relationship between lithium and grey matter volume may elucidate the therapeutic potential of lithium in conditions characterized by abnormal changes in brain structure.
Collapse
|
30
|
Schneck CD, Chang KD, Singh MK, DelBello MP, Miklowitz DJ. A Pharmacologic Algorithm for Youth Who Are at High Risk for Bipolar Disorder. J Child Adolesc Psychopharmacol 2017; 27:796-805. [PMID: 28731778 PMCID: PMC5689113 DOI: 10.1089/cap.2017.0035] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Depression and brief periods of manic symptoms are linked to a significant risk of progression to bipolar disorder (BD) in children who have a first-degree relative with BD I or II. However, little evidence exists to guide the pharmacologic management of children with these high-risk phenotypes. We propose a pharmacological treatment algorithm for high-risk youth and present results on its use in a study of children with a first-degree relative with BD. METHODS Subjects were 40 youth (mean 12.7 years, range 9-17 years) who had (1) a first-degree relative with lifetime history of BD I or II, (2) DSM-IV-TR diagnoses of BD not otherwise specified, major depressive disorder or cyclothymic disorder, and (3) active symptoms of depression, mania, or hypomania. Participants and their families were enrolled in a randomized trial examining the effects of two psychosocial interventions on the 1-year course of mood disorder. At study intake, participants received a psychiatric evaluation and were offered medications or had existing medications optimized to decrease symptom severity. During the 1-year study, psychiatrists treated participants using a medication algorithm to treat depressive or manic symptoms as well as comorbid anxiety and/or attention-deficit/hyperactivity disorder. RESULTS At study entry, 25 of 40 (62.5%) of the participants were taking at least one psychiatric medication. At 1 year, nearly an identical proportion were taking medications (22 of 35, 63%). Independent ratings indicated that in 84.7% of the study visits, physicians maintained adherence to the algorithm. No patients experienced antidepressant- or stimulant-induced mania during the study. CONCLUSIONS An algorithmic approach to pharmacologic interventions may aid in the management of youth (i.e., age <18) at high risk for BD. Future studies should compare outcomes in high-risk patients receiving algorithm-prescribed treatment versus those receiving treatment as usual. CLINICAL TRIAL REGISTRATION INFORMATION Early Family-Focused Treatment for Youth at Risk for Bipolar Disorder; www.clinicaltrials.gov/ ; NCT00943085.
Collapse
Affiliation(s)
- Christopher D. Schneck
- Department of Psychiatry, Helen and Arthur E. Johnson Depression Center, University of Colorado School of Medicine, Aurora, Colorado
| | - Kiki D. Chang
- Department of Psychiatry, Stanford University School of Medicine, Stanford, California
| | - Manpreet K. Singh
- Department of Psychiatry, Stanford University School of Medicine, Stanford, California
| | - Melissa P. DelBello
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - David J. Miklowitz
- Child and Adolescent Mood Disorders Program, UCLA Semel Institute, Los Angeles, California
| |
Collapse
|
31
|
Betzler F, Stöver LA, Sterzer P, Köhler S. Mixed states in bipolar disorder - changes in DSM-5 and current treatment recommendations. Int J Psychiatry Clin Pract 2017; 21:244-258. [PMID: 28417647 DOI: 10.1080/13651501.2017.1311921] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Mixed states in affective disorders represent a particular challenge in clinical routine, characterized by a complicated course of treatment and a worse treatment response. METHODS Clinical features of mixed states and the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria are presented and critical discussed. We then performed a systematic review using the terms 'bipolar', 'mixed' and 'randomized' to evaluate current treatment options. RESULTS For pharmacological treatment of mixed states in total, there is still insufficient data from RCTs. However, there is some evidence for efficacy in mixed states from RCTs for atypical antipsychotics, especially olanzapine, aripiprazole and asenapine as well as mood stabilizers as valproate and carbamazepine. CONCLUSIONS Mixed states are of a high clinical relevance and the DSM-5 criteria substantially reduced the diagnostic threshold. Besides advantages of a better characterization of patients with former DSM-IV-defined mixed episodes, disadvantages arise for example differential diagnoses with a substantial overlap in symptoms such as borderline personality disorders. Atypical antipsychotics, valproate and carbamazepine demonstrated efficacy in a limited sample of RCTs. LIMITATIONS The number of RCTs in the treatment of mixed states is highly limited. Furthermore, nearly all studies were funded by pharmaceutical companies which may lead to an underestimation of classical mood stabilizers such as lithium.
Collapse
Affiliation(s)
- Felix Betzler
- a Department of Psychiatry and Psychotherapy , Clinic for Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin , Campus Mitte , Berlin , Germany
| | - Laura Apollonia Stöver
- a Department of Psychiatry and Psychotherapy , Clinic for Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin , Campus Mitte , Berlin , Germany
| | - Philipp Sterzer
- a Department of Psychiatry and Psychotherapy , Clinic for Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin , Campus Mitte , Berlin , Germany
| | - Stephan Köhler
- a Department of Psychiatry and Psychotherapy , Clinic for Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin , Campus Mitte , Berlin , Germany
| |
Collapse
|
32
|
Subramanian K, Sarkar S, Kattimani S. Bipolar disorder in Asia: Illness course and contributing factors. Asian J Psychiatr 2017; 29:16-29. [PMID: 29061417 DOI: 10.1016/j.ajp.2017.04.009] [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: 10/06/2016] [Revised: 04/15/2017] [Accepted: 04/16/2017] [Indexed: 12/14/2022]
Abstract
BACKGROUND Epidemiological studies analysing the course of Bipolar Disorder (BD) are relatively rare in the Asian context, contributing to the uncertainty regarding the prevalent course patterns and factors influencing such patterns. The current review identifies the regional characteristics of BD course patterns and the associated factors. METHODS A review of the existing literature was done using 'PubMed' and 'Cochrane' databases which yielded 145 studies including those from all 48 Asian countries. Relevant discussions from the Western literature were incorporated. RESULTS Regional and cross-national studies reveal a mania-predominant course in BD in Asian countries. Prolonged depressive episodes and comorbid anxiety disorders worsen the course of BD-II. Certain risk factors such as the young age of onset and greater episode frequency are useful predictors of bipolar diatheses. Substance use disorder comorbidity is more prevalent in males whereas depression and suicidal behaviours are more frequent in females with BD. Comorbid anxiety and personality disorders also encumber the illness course. Logistic reasons and ignorance of side-effects were specifically associated with poor adherence. An 'eveningness' chronotype and poor sleep quality were associated with frequent recurrences. Seasonal patterns vary among men and women, especially for depressive episodes. LIMITATIONS The effects of treatment and childhood BD course features were not discussed. CONCLUSIONS There are region-specific characteristics in bipolar illness course and factors influencing such course patterns compared to the rest of the World. Future research from Asia shall attempt to study the neurobiological underpinnings of such characteristics and plan appropriate strategies to address the same.
Collapse
Affiliation(s)
- Karthick Subramanian
- Department of Psychiatry, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
| | - Siddharth Sarkar
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India.
| | - Shivanand Kattimani
- Department of Psychiatry, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
| |
Collapse
|
33
|
Sramek J, Loebel A, Murphy M, Mao Y, Pikalov A, Cutler NR. Lurasidone in post-menopausal females with major depressive disorder with mixed features: Post-hoc analysis of a placebo-controlled trial. Prog Neuropsychopharmacol Biol Psychiatry 2017; 78:12-17. [PMID: 28499900 DOI: 10.1016/j.pnpbp.2017.05.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 04/12/2017] [Accepted: 05/08/2017] [Indexed: 01/21/2023]
Abstract
BACKGROUND Several studies have found that depressed, post-menopausal females may respond differently to antidepressants compared to pre-menopausal females. The atypical antipsychotic lurasidone, whose mechanism of action differs from SSRIs and other standard antidepressants, was shown in a 6-week randomized, flexible-dose, placebo-controlled study (n=209), to be effective in treating major depressive disorder (MDD) with mixed features (subthreshold hypomanic symptoms). This post-hoc analysis assessed the efficacy of lurasidone in this study by menopausal status. METHODS The main outcome measure for this post-hoc analysis was change in MADRS score from baseline to week 6 endpoint for two lurasidone-treated subgroups: presumptive pre-menopausal (<52years) and presumptive post-menopausal (≥52years) patients, compared to placebo treatment, using a mixed-model for repeated-measures analysis, and calculation of the effect size for each subgroup. Additional efficacy assessments included the CGI-S, HAM-A and YMRS. An exploratory analysis was also conducted removing presumptive peri-menopausal women (ages 45-51years) to allow for clearer definition of pre- and post-menopausal status. RESULTS A total of 56 lurasidone-treated and 47 placebo-treated pre-menopausal females, and 17 lurasidone-treated and 25 placebo-treated post-menopausal females were available from the larger study for comparison on key outcome measures. The pre- and post-menopausal subgroups had similar demographic and clinical characteristics at study baseline (other than age), including number of past major depressive episodes as well as depressive and manic symptom severity. Mean daily lurasidone dose was similar for each subgroup during the study. Both the primary and exploratory analyses showed that both lurasidone-treated post-menopausal and pre-menopausal females responded significantly compared to placebo (p=0.016 or less) on the MADRS, and that post-menopausal patients had a numerically larger response (effect size=0.96) than pre-menopausal patients (effect size=0.64). All other secondary outcome measures for lurasidone compared with placebo treatment were significant (p=0.045 or less) for both subgroups. CONCLUSIONS In this post-hoc analysis, lurasidone was found to be effective in treating post-menopausal MDD patients with mixed features (subthreshold hypomanic symptoms).
Collapse
Affiliation(s)
- John Sramek
- Worldwide Clinical Trials, 401 N. Maple Drive, Beverly Hills, CA 90210, United States.
| | - Antony Loebel
- Sunovion Pharmaceuticals, 84 Waterford Drive, Marlborough, MA 01752, United States
| | - Michael Murphy
- Worldwide Clinical Trials, 1000 Continental Drive, Suite 290, King of Prussia, PA 194063, United States
| | - Yongcai Mao
- Sunovion Pharmaceuticals, 84 Waterford Drive, Marlborough, MA 01752, United States
| | - Andrei Pikalov
- Sunovion Pharmaceuticals, 84 Waterford Drive, Marlborough, MA 01752, United States
| | - Neal R Cutler
- Worldwide Clinical Trials, 401 N. Maple Drive, Beverly Hills, CA 90210, United States
| |
Collapse
|
34
|
Abstract
OBJECTIVE The aim of this post-hoc analysis was to evaluate the efficacy of lurasidone in treating major depressive disorder (MDD) with mixed features including irritability. METHODS The data in this analysis were derived from a study of patients meeting DSM-IV-TR criteria for unipolar MDD, with a Montgomery-Åsberg Depression Rating Scale (MADRS) total score ≥26, presenting with two or three protocol-defined manic symptoms, and who were randomized to 6 weeks of double-blind treatment with either lurasidone 20-60 mg/d (n=109) or placebo (n=100). We defined "irritability" as a score ≥2 on both the Young Mania Rating Scale (YMRS) irritability item (#5) and the disruptive-aggressive item (#9). Endpoint change in the MADRS and YMRS items 5 and 9 were analyzed using a mixed model for repeated measures for patients with and without irritability. RESULTS Some 20.7% of patients met the criteria for irritability. Treatment with lurasidone was associated with a significant week 6 change vs. placebo in MADRS score in both patients with (-22.6 vs. -9.5, p<0.0001, effect size [ES]=1.4) and without (-19.9 vs. -13.8, p<0.0001, ES=0.7) irritability. In patients with irritable features, treatment with lurasidone was associated with significant week 6 changes vs. placebo in both the YMRS irritability item (-1.4 vs. -0.3, p=0.0012, ES=1.0) and the YMRS disruptive-aggressive item (-1.0 vs. -0.3, p=0.0002, ES=1.2). CONCLUSIONS In our post-hoc analysis of a randomized, placebo-controlled, 6-week trial, treatment with lurasidone significantly improved depressive symptoms in MDD patients with mixed features including irritability. In addition, irritability symptoms significantly improved in patients treated with lurasidone.
Collapse
|
35
|
What is the role of conventional antidepressants in the treatment of major depressive episodes with Mixed Features Specifier? CNS Spectr 2017; 22:120-125. [PMID: 27831463 DOI: 10.1017/s1092852916000493] [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] [Indexed: 11/06/2022]
Abstract
The newly introduced Mixed Features Specifier of Major Depressive Episode and Disorder (MDE/MDD) is especially challenging in terms of pharmacological management. Prior to the publication of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, the symptoms of the mixed features specifier were intradepressive hypomanic symptoms, always and only associated with bipolar disorder (BD). Intradepressive hypomanic symptoms, mostly referred to as depressive mixed states (DMX), have been poorly characterized, and their treatment offers significant challenges. To understand the diagnostic context of DMX, we trace the nosological changes and collocation of intradepressive hypomanic symptoms, and examine diagnostic and prognostic implications of such mixed features. One of the reasons so little is known about the treatment of DMX is that depressed patients with rapid cycling, substance abuse disorder, and suicidal ideation/attempts are routinely excluded from clinical trials of antidepressants. The exclusion of DMX patients from clinical trials has prevented an assessment of the safety and tolerability of short- and long-term use of antidepressants. Therefore, the generalization of data obtained in clinical trials for unipolar depression to patients with intradepressive hypomanic features is inappropriate and methodologically flawed. A selective review of the literature shows that antidepressants alone have limited efficacy in DMX, but they have the potential to induce, maintain, or worsen mixed features during depressive episodes in BD. On the other hand, preliminary evidence supports the effective use of some atypical antipsychotics in the treatment of DMX.
Collapse
|
36
|
Remission and recovery associated with lurasidone in the treatment of major depressive disorder with subthreshold hypomanic symptoms (mixed features): post-hoc analysis of a randomized, placebo-controlled study with longer-term extension. CNS Spectr 2017; 22:220-227. [PMID: 28264739 DOI: 10.1017/s1092852917000025] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE This post-hoc analysis assessed rates of symptomatic and functional remission, as well as recovery (combination of symptomatic and functional remission), in patients treated with lurasidone for major depressive disorder (MDD) associated with subthreshold hypomanic symptoms (mixed features). METHOD Patients with MDD plus two or three manic symptoms (defined as per the DSM-5 mixed-features specifier) were randomly assigned to flexible-dose lurasidone 20-60 mg/day (n=109) or placebo (n=100) for 6 weeks, followed by a 3-month open-label, flexible-dose extension study for U.S. sites only (n=48). Cross-sectional recovery was defined as the presence of both symptomatic remission (Montgomery-Åsberg Depression Rating Scale score ≤ 12) and functional remission (all Sheehan Disability Scale [SDS] domain scores ≤3) at week 6, and at both months 1 and 3 of the extension study ("sustained recovery"). RESULTS A significantly higher proportion of lurasidone-treated patients (31.3%) achieved recovery (assessed cross-sectionally) compared to placebo (12.2%, p=0.002) at week 6. The number of manic symptoms at baseline moderated the effect size for attaining cross-sectional recovery for lurasidone treatment (vs. placebo) (p=0.028). Sustained recovery rates were higher in patients initially treated with lurasidone (20.8%) versus placebo (12.5%). CONCLUSIONS In this post-hoc analysis of a placebo-controlled study with open-label extension that involved patients with MDD and mixed features, lurasidone was found to significantly improve the rate of recovery at 6 weeks (vs. placebo) that was sustained at month 3 of the extension study. The presence of two (as opposed to three) manic symptoms moderated recovery at the acute study endpoint.
Collapse
|
37
|
Differences in symptom expression between unipolar and bipolar spectrum depression: Results from a nationally representative sample using item response theory (IRT). J Affect Disord 2016; 204:24-31. [PMID: 27318596 PMCID: PMC6447294 DOI: 10.1016/j.jad.2016.06.042] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2016] [Revised: 06/10/2016] [Accepted: 06/12/2016] [Indexed: 01/10/2023]
Abstract
BACKGROUND The inclusion of subsyndromal forms of bipolarity in the fifth edition of the DSM has major implications for the way in which we approach the diagnosis of individuals with depressive symptoms. The aim of the present study was to use methods based on item response theory (IRT) to examine whether, when equating for levels of depression severity, there are differences in the likelihood of reporting DSM-IV symptoms of major depressive episode (MDE) between subjects with and without a lifetime history of manic symptoms. METHODS We conducted these analyses using a large, nationally representative sample from the USA (n=34,653), the second wave of the National Epidemiologic Survey on Alcohol and Related Conditions. RESULTS The items sadness, appetite disturbance and psychomotor symptoms were better indicators of depression severity in participants without a lifetime history of manic symptoms, in a clinically meaningful way. DSM-IV symptoms of MDE were substantially less informative in participants with a lifetime history of manic symptoms than in those without such history. LIMITATIONS Clinical information on DSM-IV depressive and manic symptoms was based on retrospective self-report CONCLUSIONS The clinical presentation of depressive symptoms may substantially differ in individuals with and without a lifetime history of manic symptoms. These findings alert to the possibility of atypical symptomatic presentations among individuals with co-occurring symptoms or disorders and highlight the importance of continued research into specific pathophysiology differentiating unipolar and bipolar depression.
Collapse
|
38
|
Kim JH, Chang SM, Hong JP, Bae JN, Cho SJ, Hahm BJ, Lee DW, Park JI, Lee JY, Jeon HJ, Kim BS, Cho MJ. Lifetime prevalence, sociodemographic correlates, and diagnostic overlaps of bipolar spectrum disorder in the general population of South Korea. J Affect Disord 2016; 203:248-255. [PMID: 27314811 DOI: 10.1016/j.jad.2016.06.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2016] [Revised: 05/21/2016] [Accepted: 06/05/2016] [Indexed: 01/04/2023]
Abstract
BACKGROUND Patients with subthreshold bipolar disorder (Sub-BP) experience severe clinical courses and functional impairments which are comparable to those with bipolar I and II disorders (BP-I and -II). Nevertheless, lifetime prevalence, socioeconomic correlates and diagnostic overlaps of bipolar spectrum disorder (BPS) have not yet been estimated in the general population of South Korean adults. METHODS A total of 3013 adults among the 2011 Korean Epidemiologic Catchment Area survey (KECA-2011) completed face-to-face interviews using the Korean versions of the Composite International Diagnostic Interview 2.1 and Mood Disorder Questionnaire (K-CIDI and K-MDQ). RESULTS The lifetime prevalence of BPS in the South Korean adults was measured to be 4.3% (95% CI 2.6-6.9). Nearly 80% of the subjects with BPS were co-diagnosed with other DSM-IV non-psychotic mental disorders: 35.4% (95% CI 24.2-48.5) for major depression and dysthymic disorder, 35.1% (95% CI 27.7-43.3) for anxiety disorders, and 51.9% (95% CI 40.5-63.1) for alcohol and nicotine use disorders. Younger age (18-34 years) was the only sociodemographic predictor of BPS positivity (P=0.014), and the diagnostic overlap patterns were different between men and women. LIMITATIONS The prevalence of BPS and other mental disorders could have been influenced by recall bias due to the retrospective nature of this study. CONCLUSIONS Positivity for BPS was estimated to be much greater than the prevalence of DSM-IV BP in South Korea. Most of the respondents with BPS were diagnosed with other major mental disorders and this might be related with mis- and/or under-diagnosis of clinically relevant Sub-BP.
Collapse
Affiliation(s)
- Ji-Hyun Kim
- Department of Psychiatry, College of Medicine, Inha University, Incheon, South Korea
| | - Sung Man Chang
- Department of Psychiatry, School of Medicine, Kyungpook National University, Daegu, South Korea.
| | - Jin Pyo Hong
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jae Nam Bae
- Department of Psychiatry, College of Medicine, Inha University, Incheon, South Korea
| | - Seong-Jin Cho
- Department of Psychiatry, Gachon Medical School, Gachon University of Medicine and Science, Incheon, South Korea
| | - Bong-Jin Hahm
- Department of Psychiatry and Behavioral Science, College of Medicine, Seoul National University, Seoul, South Korea; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Dong-Woo Lee
- Department of Psychiatry, Sanggye Paik Hospital, College of Medicine, Inje University, Seoul, South Korea
| | - Jong-Ik Park
- Department of Psychiatry, College of Medicine, Kangwon National University, Chuncheon, South Korea
| | - Jun-Young Lee
- Department of Psychiatry and Behavioral Science, College of Medicine, Seoul National University, Seoul, South Korea; Department of Neuropsychiatry, Seoul Metropolitan Boramae Medical Center, Seoul, South Korea
| | - Hong Jin Jeon
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; Samsung Advanced Institute for Health Science & Technology (SAIHST), Seoul, South Korea
| | - Byung-Soo Kim
- Department of Psychiatry, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Maeng Je Cho
- Department of Psychiatry and Behavioral Science, College of Medicine, Seoul National University, Seoul, South Korea
| |
Collapse
|
39
|
Wang TY, Lee SY, Chen SL, Chung YL, Li CL, Chang YH, Wang LJ, Chen PS, Chen SH, Chu CH, Huang SY, Tzeng NS, Hsieh TH, Chiu YC, Lee IH, Chen KC, Yang YK, Hong JS, Lu RB. The Differential Levels of Inflammatory Cytokines and BDNF among Bipolar Spectrum Disorders. Int J Neuropsychopharmacol 2016; 19:pyw012. [PMID: 26865313 PMCID: PMC5006191 DOI: 10.1093/ijnp/pyw012] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Accepted: 02/03/2016] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE Emerging evidence suggests that inflammation and neurodegeneration underlies bipolar disorder. To investigate biological markers of cytokines and brain-derived neurotrophic factor between bipolar I, bipolar II, and other specified bipolar disorder with short duration hypomania may support the association with inflammatory dysregulation and bipolar disorder and, more specifically, provide evidence for other specified bipolar disorder with short duration hypomania patients were similar to bipolar II disorder patients from a biological marker perspective. METHODS We enrolled patients with bipolar I disorder (n=234), bipolar II disorder (n=260), other specified bipolar disorder with short duration hypomania (n=243), and healthy controls (n=140). Their clinical symptoms were rated using the Hamilton Depression Rating Scale and Young Mania Rating Scale. Inflammatory cytokine (tumor necrosis factor-α, C-reactive protein, transforming growth factor-β1, and interleukin-8) and brain-derived neurotrophic factor levels were measured in each group. Multivariate analysis of covariance and linear regression controlled for possible confounders were used to compare cytokine and brain-derived neurotrophic factor levels among the groups. RESULTS Multivariate analysis of covariance adjusted for age and sex and a main effect of diagnosis was significant (P<.001). Three of the 5 measured biomarkers (tumor necrosis factor-α, transforming growth factor-β1, and interleukin-8) were significantly (P=.006, .01, and <.001) higher in all bipolar disorder patients than in controls. Moreover, covarying for multiple associated confounders showed that bipolar I disorder patients had significantly higher IL-8 levels than did bipolar II disorder and other specified bipolar disorder with short duration hypomania patients in multivariate analysis of covariance (P=.03) and linear regression (P=.02) analyses. Biomarkers differences between bipolar II disorder and other specified bipolar disorder with short duration hypomania patients were nonsignificant. CONCLUSION The immunological disturbance along the bipolar spectrum was most severe in bipolar I disorder patients. Other specified bipolar disorder with short duration hypomania patients and bipolar II disorder patients did not differ in these biological markers.
Collapse
Affiliation(s)
- Tzu-Yun Wang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Sheng-Yu Lee
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Shiou-Lan Chen
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Yi-Lun Chung
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Chia-Ling Li
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Yun-Hsuan Chang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Liang-Jen Wang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Po See Chen
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Shih-Heng Chen
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Chun-Hsien Chu
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - San-Yuan Huang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Nian-Sheng Tzeng
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Tsai-Hsin Hsieh
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Yen-Chu Chiu
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - I Hui Lee
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Kao-Chin Chen
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Yen Kuang Yang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Jau-Shyong Hong
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.)
| | - Ru-Band Lu
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Drs T.-Y.W., S.-Y.L., S.-L.C., Ms Y.-L.C. Drs C.-L.L.,Y.-H.C., and P.S.C. , Ms T.-H.H., Drs I.H.L., K.-C.C., Y.K.Y., and R.-B.L.); Institute of Behavioral Medicine (Drs Y.K.Y. and R.-B.L.), and Institute of Allied Health Sciences (Dr Y.-H.C. and R.-B.L.), College of Medicine, and Addiction Research Center (Drs P.S.C., I.H.L, K.C.C., Y.K.Y., and R.-B.L.), National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan (Dr S.-Y.L.); Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University(KMU), Lipid Science and Aging Research Center, KMU, Kaohsiung, Taiwan (Dr S.-L.C.); Department of Psychiatry, Tri-Service General Hospital, School of Medicine, and Student Counseling Center (Dr N.-S.T.), National Defense Medical Center, Taipei, Taiwan (Dr S.-Y.H.); Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (Dr L.-J.W.); Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan (Dr Y.K.Y.); Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan (Dr R.-B.L.); Neurobiology Laboratory, NIH/NIEHS, Research Triangle Park, NC (Drs S.-H.C. and J.-S.H.); Deprtment of Psychology, Asia University, Taichung, Taiwan (Dr Y.-H.C.); Institute of Molecular Medicine (Dr C.-H.C.) , and Institute of Basic Medical Sciences (Ms Y.-L.C.), College of Medicine, National Cheng Kung University, Tainan, Taiwan ; Department of Biomedical Science and Environmental Biology, School of Life Science, Kaohsiung Medical University, Kaohsiung, Taiwan (Ms Y.-C.C.).
| |
Collapse
|
40
|
Major depressive disorder with subthreshold hypomania (mixed features): Clinical characteristics of patients entered in a multiregional, placebo-controlled study. Prog Neuropsychopharmacol Biol Psychiatry 2016; 68:9-14. [PMID: 26908089 DOI: 10.1016/j.pnpbp.2016.02.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Revised: 02/17/2016] [Accepted: 02/19/2016] [Indexed: 11/20/2022]
Abstract
Major depressive disorder (MDD) associated with subthreshold hypomanic symptoms (mixed features), has been identified as a distinct nosological entity in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). We identified the predominant manic symptoms present at baseline in a multiregional, placebo-controlled trial involving 211 patients with MDD with mixed features (Clinicaltrials.govNCT01421134). Patients with 2 or 3 DSM-5 criteria defined manic symptoms were eligible for the study. At study baseline, increased talkativeness (pressure to keep talking) and flight of ideas (racing thoughts) were endorsed by approximately 65% of patients and a decreased need for sleep was endorsed by 40% of patients. Approximately 60% of patients also endorsed irritability and distractibility at baseline although these symptoms are not generally counted as part of the "mixed" depression diagnosis as they may overlap with criteria for MDD. Thus, five clinical symptoms characterized the manic presentation in the majority of patients diagnosed as having MDD with "mixed" features in this first placebo-controlled trial examining the use of a psychotropic medication (lurasidone) in this population. Our findings support the designation of MDD with mixed features specifier and suggest that this subpopulation of depressed patients may warrant additional medication beyond antidepressants.
Collapse
|
41
|
Comparing clinical responses and the biomarkers of BDNF and cytokines between subthreshold bipolar disorder and bipolar II disorder. Sci Rep 2016; 6:27431. [PMID: 27270858 PMCID: PMC4895208 DOI: 10.1038/srep27431] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Accepted: 05/10/2016] [Indexed: 11/08/2022] Open
Abstract
Patients with subthreshold hypomania (SBP; subthreshold bipolar disorder) were indistinguishable from those with bipolar disorder (BP)-II on clinical bipolar validators, but their analyses lacked biological and pharmacological treatment data. Because inflammation and neuroprogression underlies BP, we hypothesized that cytokines and brain-derived neurotrophic factor (BDNF) are biomarkers for BP. We enrolled 41 drug-naïve patients with SBP and 48 with BP-II undergoing 12 weeks of pharmacological treatment (valproic acid, fluoxetine, risperidone, lorazepam). The Hamilton Depression Rating Scale (HDRS) and Young Mania Rating Scale (YMRS) were used to evaluate clinical responses at baseline and at weeks 0, 1, 2, 4, 8, and 12. Inflammatory cytokines (tumour necrosis factor [TNF]-α, transforming growth factor [TGF]-β1, interleukin [IL]-6, IL-8 and IL-1β) and BDNF levels were also measured. Mixed models repeated measurement was used to examine the therapeutic effect and changes in BDNF and cytokine levels between the groups. HDRS and YMRS scores significantly (P < 0.001) declined in both groups, the SBP group had significantly lower levels of BDNF (P = 0.005) and TGF-β1 (P = 0.02). Patients with SBP and BP-II respond similarly to treatment, but SBP patients may have different neuroinflammation marker expression.
Collapse
|
42
|
Wakefield JC. Diagnostic Issues and Controversies in DSM-5: Return of the False Positives Problem. Annu Rev Clin Psychol 2016; 12:105-32. [PMID: 26772207 DOI: 10.1146/annurev-clinpsy-032814-112800] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The fifth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) was the most controversial in the manual's history. This review selectively surveys some of the most important changes in DSM-5, including structural/organizational changes, modifications of diagnostic criteria, and newly introduced categories. It analyzes why these changes led to such heated controversies, which included objections to the revision's process, its goals, and the content of altered criteria and new categories. The central focus is on disputes concerning the false positives problem of setting a valid boundary between disorder and normal variation. Finally, this review highlights key problems and issues that currently remain unresolved and need to be addressed in the future, including systematically identifying false positive weaknesses in criteria, distinguishing risk from disorder, including context in diagnostic criteria, clarifying how to handle fuzzy boundaries, and improving the guidelines for "other specified" diagnosis.
Collapse
Affiliation(s)
- Jerome C Wakefield
- NYU Silver School of Social Work, New York University, New York, NY 10003.,Department of Psychiatry, NYU School of Medicine, New York University, New York, NY 10016;
| |
Collapse
|
43
|
Nusslock R, Walden K, Harmon-Jones E. Asymmetrical frontal cortical activity associated with differential risk for mood and anxiety disorder symptoms: An RDoC perspective. Int J Psychophysiol 2015; 98:249-261. [DOI: 10.1016/j.ijpsycho.2015.06.004] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Revised: 06/06/2015] [Accepted: 06/09/2015] [Indexed: 01/13/2023]
|
44
|
Fornaro M, De Berardis D, Mazza M, Pino M, Favaretto E, Bedani F, Wieser C, Indelicato L, Paternò VF, Lo Monaco F, Dugo F, Ventriglio A, Mungo S, Selle V, Valchera A, Elassy M, Martinotti G, De Bartolomeis A, Iasevoli F, Tomasetti C, Avvisati L, Tartaglione S, Perna G, Cattaneo CI, Consoli G, Romano A, Del Debbio A, Martino M, D' Angelo E, De Pasquale C, Koshy AS, Angst J. Factor structure and reliability of the Italian adaptation of the Hypomania Check List-32, second revision (HCL-32-R2). J Affect Disord 2015; 178:112-20. [PMID: 25805403 DOI: 10.1016/j.jad.2015.03.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 02/25/2015] [Accepted: 03/01/2015] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To assess the psychometric properties of the Italian adaptation of the Hypomania-Check-List 32-item, second revision (HCL-32-R2) for the detection of bipolarity in major depressive disorder (MDD) treatment-seeking outpatients. METHODS A back-to-back Italian adaption of the "Bipolar Disorders: Improving Diagnosis, Guidance, and Education" English module of the HCL-32-R2 was administered between March 2013 and October 2014 across twelve collaborating sites in Italy. Diagnostic and Statistical Manual Fourth edition (DSM-IV) diagnoses were made adopting the mini-international neuropsychiatric interview, using bipolar disorder (BD) patients as controls. RESULTS In our sample (n=441, of whom, BD-I=68; BD-II=117; MDD=256), using a cut-off of 14 allowed the HCL-32-R2 to discriminate DSM-IV-defined MDD patients between "true unipolar" (HCL-32-R2(-)) and "sub-threshold bipolar depression" (HCL-32-R2(+)) with sensitivity=89% and specificity=79%. Area under the curve was .888; positive and negative predictive values were 75.34% and 90.99% respectively. Owing to clinical interpretability considerations and consistency with previous adaptations of the HCL-32, a two-factor solution (F1="hyperactive/elated" vs. F2="irritable/distractible/impulsive") was preferred using exploratory and confirmatory factor analyses, whereas items n.33 ("I gamble more") and n.34 ("I eat more") introduced in the R2 version of the scale slightly loaded onto F2 and F1 respectively. Cronbach׳s α=.88 for F1 and .71 for F2. LIMITATIONS No cross-validation with any additional validated screening tool; treatment-seeking outpatient sample; recall bias; no systematic evaluation of eventual medical/psychiatric comorbidities, current/lifetime pharmacological history, neither record of severity of current MDE. CONCLUSIONS Our results seem to indicate fair accuracy of HCL-32 as a screening instrument for BD, though replication studies are warranted.
Collapse
Affiliation(s)
- Michele Fornaro
- Department of Education Science, University of Catania, Catania, Italy; Polyedra Research Group, Italy.
| | - Domenico De Berardis
- Polyedra Research Group, Italy; National Health Service, Department of Mental Health, Psychiatric Service of Diagnosis and Treatment, Hospital "G. Mazzini", ASL 4, Teramo, Italy.
| | - Monica Mazza
- Polyedra Research Group, Italy; Department of Life, Health and Environmental Sciences, University of L׳Aquila, L׳Aquila, Italy.
| | - Mariachiara Pino
- Department of Life, Health and Environmental Sciences, University of L׳Aquila, L׳Aquila, Italy.
| | - Ettore Favaretto
- Department of Psychiatry of Bressanone (Brixen), Bolzano (Bozen), Italy.
| | - Fulvio Bedani
- Department of Psychiatry of Bressanone (Brixen), Bolzano (Bozen), Italy.
| | - Christian Wieser
- Department of Psychiatry of Bressanone (Brixen), Bolzano (Bozen), Italy.
| | - Luisa Indelicato
- Department of Education Science, University of Catania, Catania, Italy.
| | - Vito Fabio Paternò
- Centro siciliano per la cura di Depressione e Ansia (CESIDEA), Catania, Italy; Ospedale San Raffaele, Milano, Italy.
| | | | - Febronia Dugo
- Department of Education Science, University of Catania, Catania, Italy.
| | - Antonio Ventriglio
- Section of Psychiatry, University of Foggia, Department of Clinical and Experimental Medicine, Foggia, Italy.
| | - Sergio Mungo
- Department of Psychiatry, University of Genova, Genoa, Italy.
| | | | - Alessandro Valchera
- Polyedra Research Group, Italy; Casa di Cura Villa San Giuseppe, Via dei Girasoli, n.6, 63100 Ascoli Piceno, Italy.
| | - Mai Elassy
- Department of Psychiatry, Mansoura Faculty of Medicine, Mansoura City, Egypt.
| | - Giovanni Martinotti
- Polyedra Research Group, Italy; Department of Neuroscience and Imaging, University "G. d׳Annunzio", Chieti, Italy.
| | - Andrea De Bartolomeis
- Section of Psychiatry - Department of Neuroscience - University School of Naples "Federico II", Naples, Italy.
| | - Felice Iasevoli
- Polyedra Research Group, Italy; Section of Psychiatry - Department of Neuroscience - University School of Naples "Federico II", Naples, Italy.
| | - Carmine Tomasetti
- Polyedra Research Group, Italy; Section of Psychiatry - Department of Neuroscience - University School of Naples "Federico II", Naples, Italy; National Health Service, Department of Mental Health, Unit of Psychiatry, Isernia, Italy.
| | - Livia Avvisati
- Section of Psychiatry - Department of Neuroscience - University School of Naples "Federico II", Naples, Italy.
| | - Sergio Tartaglione
- National Health Service, Department of Mental Health, Unit of Psychiatry, Isernia, Italy.
| | - Giampaolo Perna
- Polyedra Research Group, Italy; Department of Clinical Neuroscience, San Benedetto Hospital, Hermanas Hospitalarias, Albese con Cassano, Como, Italy.
| | | | | | - Anna Romano
- Department of Psychiatry, University of Pisa, Pisa, Italy.
| | | | - Matteo Martino
- Department of Psychiatry, University of Genova, Genoa, Italy.
| | | | | | - Ann Sarah Koshy
- St. John׳s National Academy of Health Sciences, Bangalore, India.
| | - Jules Angst
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland.
| |
Collapse
|
45
|
Fornaro M, Elassy M, Mounir M, Abd-Elmoneim N, Ashour H, Hamed R, Al-Shehri A, Bedir S, Rashed I, Amer N, Mohammed TA, De Berardis D, Mazza M, Pino M, Koshy AS, De Pasquale C, Okasha T, Angst J. Factor structure and reliability of the Arabic adaptation of the Hypomania Check List-32, second revision (HCL-32-R2). Compr Psychiatry 2015; 59:141-50. [PMID: 25770763 DOI: 10.1016/j.comppsych.2015.02.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 02/12/2015] [Accepted: 02/22/2015] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE To assess the psychometric properties of the Arabic adaptation of the Hypomania-Check-List 32-item, second revision (HCL-32-R2) for the detection of bipolarity in major depressive disorder (MDD) inpatients suffering a current major depressive episode (MDE). METHOD The "Bipolar Disorders: Improving Diagnosis, Guidance, and Education" Arabic module of the HCL-32-R2 was administered to mother-tongue Arabic MDE inpatients between March 2013 and October 2014. Diagnostic and Statistical Manual Fourth edition (DSM-IV) diagnoses were made adopting the mini-international neuropsychiatric interview, using bipolar disorder (BD) patients as controls. RESULTS In our sample (n=500, of whom, BD-I=329; BD-II=70; MDD=101), using a cut-off of 17 allowed the HCL-32-R2 to discriminate DSM-IV-defined MDD patients between "true unipolar" (HCL-32-R2(-)) and "sub-threshold bipolar depression" (HCL-32-R2(+)) with sensitivity=82% and specificity=77%. Area under the curve was .883; positive and negative predictive values were 93.44% and 73.23% respectively. Owing to clinical interpretability considerations and consistency with previous adaptations of the HCL-32, a two-factor solution (F1="hyperactive/elated" vs. F2="irritable/distractible/impulsive") was preferred using exploratory and confirmatory factors analyses. Item n.33 ("I gamble more") and n.34 ("I eat more") introduced in the R2 version of the HCL-32 loaded onto F1, though very slightly. Cronbach's alphas were F1=.86 and F2=.60. LIMITATIONS No cross-validation with any additional validated screening tool. Inpatients only sample; recall bias; no systematic evaluation of eventual medical/psychiatric comorbidities, current/lifetime pharmacological history, or record of severity of current MDE. CONCLUSIONS In our sample, the HCL-32 fairly discriminated between MDD and BD-I but not BD-II, therefore soliciting for replication studies for use in Arabic-speaking depressed inpatients.
Collapse
Affiliation(s)
- Michele Fornaro
- Department of Education Science, University of Catania, Catania, Italy.
| | - Mai Elassy
- Department of Psychiatry, Mansoura University, Mansoura City, Egypt.
| | - Mina Mounir
- Department of Psychiatry, Mansoura University, Mansoura City, Egypt.
| | | | - Hala Ashour
- Department of Psychiatry, Mansoura University, Mansoura City, Egypt.
| | | | | | - Samir Bedir
- Department of Psychiatry, Mansoura University, Mansoura City, Egypt.
| | - Ibrahem Rashed
- Department of Psychiatry, Mansoura University, Mansoura City, Egypt.
| | - Noha Amer
- Department of Psychiatry, Mansoura University, Mansoura City, Egypt.
| | | | - Domenico De Berardis
- National Health Service, Department of Mental Health, Psychiatric Service of Diagnosis and Treatment, Hospital "G. Mazzini", ASL 4, Teramo, Italy.
| | - Monica Mazza
- Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Mariachiara Pino
- Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Ann Sarah Koshy
- St. John's National Academy of Health Sciences, Bangalore, India.
| | | | - Tarek Okasha
- Institute of Psychiatry, Ain Shams University, Cairo, Egypt.
| | - Jules Angst
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland.
| |
Collapse
|
46
|
Clemente AS, Diniz BS, Nicolato R, Kapczinski FP, Soares JC, Firmo JO, Castro-Costa É. Bipolar disorder prevalence: a systematic review and meta-analysis of the literature. ACTA ACUST UNITED AC 2015; 37:155-61. [PMID: 25946396 DOI: 10.1590/1516-4446-2012-1693] [Citation(s) in RCA: 130] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2015] [Accepted: 02/26/2015] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Bipolar disorder (BD) is common in clinical psychiatric practice, and several studies have estimated its prevalence to range from 0.5 to 5% in community-based samples. However, no systematic review and meta-analysis of the prevalence of BD type 1 and type 2 has been published in the literature. We carried out a systematic review and meta-analysis of the lifetime and 1-year prevalence of BD type 1 and type 2 and assessed whether the prevalence of BD changed according to the diagnostic criteria adopted (DSM-III, DSM-III-R vs. DSM-IV). METHODS We searched MEDLINE, Scopus, Web of Science, PsycINFO, and the reference lists of identified studies. The analyses included 25 population- or community-based studies and 276,221 participants. RESULTS The pooled lifetime prevalence of BD type 1 was 1.06% (95% confidence interval [95%CI] 0.81-1.31) and that of BD type 2 was 1.57% (95%CI 1.15-1.99). The pooled 1-year prevalence was 0.71% (95%CI 0.56-0.86) for BD type 1 and 0.50% (95%CI 0.35-0.64) for BD type 2. Subgroup analysis showed a significantly higher lifetime prevalence of BD type 1 according to the DSM-IV criteria compared to the DSM-III and DSM-IIIR criteria (p < 0.001). CONCLUSION This meta-analysis confirms that estimates of BD type 1 and type 2 prevalence are low in the general population. The increase in prevalence from DSM-III and DSM-III-R to DSM-IV may reflect different factors, such as minor changes in diagnostic operationalization, use of different assessment instruments, or even a genuine increase in the prevalence of BD.
Collapse
Affiliation(s)
| | - Breno S Diniz
- Department of Mental Health, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Rodrigo Nicolato
- Department of Mental Health, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Flavio P Kapczinski
- Molecular Psychiatry Laboratory, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Jair C Soares
- Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, Texas Health and Science University, Houston, TX, USA
| | | | | |
Collapse
|
47
|
Woo YS, Shim IH, Wang HR, Song HR, Jun TY, Bahk WM. A diagnosis of bipolar spectrum disorder predicts diagnostic conversion from unipolar depression to bipolar disorder: a 5-year retrospective study. J Affect Disord 2015; 174:83-8. [PMID: 25486276 DOI: 10.1016/j.jad.2014.11.034] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2014] [Revised: 11/18/2014] [Accepted: 11/18/2014] [Indexed: 02/02/2023]
Abstract
BACKGROUND The major aims of this study were to identify factors that may predict the diagnostic conversion from major depressive disorder (MDD) to bipolar disorder (BP) and to evaluate the predictive performance of the bipolar spectrum disorder (BPSD) diagnostic criteria. METHODS The medical records of 250 patients with a diagnosis of MDD for at least 5 years were retrospectively reviewed for this study. RESULTS The diagnostic conversion from MDD to BP was observed in 18.4% of 250 MDD patients, and the diagnostic criteria for BPSD predicted this conversion with high sensitivity (0.870) and specificity (0.917). A family history of BP, antidepressant-induced mania/hypomania, brief major depressive episodes, early age of onset, antidepressant wear-off, and antidepressant resistance were also independent predictors of this conversion. LIMITATIONS This study was conducted using a retrospective design and did not include structured diagnostic interviews. CONCLUSIONS The diagnostic criteria for BPSD were highly predictive of the conversion from MDD to BP, and conversion was associated with several clinical features of BPSD. Thus, the BPSD diagnostic criteria may be useful for the prediction of bipolar diathesis in MDD patients.
Collapse
Affiliation(s)
- Young Sup Woo
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - In Hee Shim
- Department of Psychiatry, Cancer Center, Dongnam Institute of Radiological & Medical Sciences, Busan, Republic of Korea
| | - Hee-Ryung Wang
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hoo Rim Song
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Tae-Youn Jun
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Won-Myong Bahk
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
| |
Collapse
|
48
|
Lin K, Xu G, Lu W, Ouyang H, Dang Y, Guo Y, So KF, Lee TM. Neuropsychological performance of patients with soft bipolar spectrum disorders. Bipolar Disord 2015; 17:194-204. [PMID: 25048414 DOI: 10.1111/bdi.12236] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Accepted: 05/09/2014] [Indexed: 12/25/2022]
Abstract
OBJECTIVES There is much evidence that shows that a substantial number of individuals with DSM-IV-defined unipolar depression (UP) manifest hypomanic sub-syndrome and bipolar diathesis. Other definitions have conceptualized the term soft bipolar spectrum (SBP) for these individuals. Little is known about the cognitive profiles of individuals with SBP. We hypothesized that they are representative of individuals with bipolar II disorder and are different from that of 'strict' UP. METHODS Consecutive referrals suffering major depressive episodes were categorically assigned to groups of either bipolar I disorder (n = 98), bipolar II disorder (n = 138), or UP (n = 300). Based on the SBP criteria by Akiskal and Pinto (17), patients with UP were subdivided into 81 SBP and 219 strict UP. We administered self- and clinician-administered scales to evaluate affective temperaments, and neuropsychological tests to assess seven cognitive domains. RESULTS Patients with SBP performed significantly better than strict UP patients in the domains of processing speed (p = 0.002), visual-spatial memory (p = 0.017), and verbal working memory (p = 0.017). Compared to patients with bipolar I disorder, patients with SBP were significantly better in set shifting (p < 0.001) and visual-spatial memory (p = 0.042). Patients with SBP performed similarly to patients with bipolar II disorder in all of the cognitive domains tested (p > 0.05). There was a group × cognitive domain interaction effect between bipolar I disorder, bipolar II disorder, SBP, and strict UP groups [Pillai's F = 2.231, df = (18,1437), p = 0.002]. CONCLUSIONS Our data suggest that patients with SBP differ from patients with UP not only in external validators (e.g., family history of bipolar disorder) and hypomanic symptoms, but also in neuropsychological performance and that the profiles of cognitive functioning were different across bipolar I disorder and 'bipolar II spectrum' that subsumes bipolar II disorder and SBP.
Collapse
Affiliation(s)
- Kangguang Lin
- Laboratory of Neuropsychology, The University of Hong Kong, Hong Kong; Department of Psychiatry, Guangzhou Psychiatric Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou; Laboratory of Cognitive Affective Neuroscience, The University of Hong Kong
| | | | | | | | | | | | | | | |
Collapse
|
49
|
Alloy LB, Nusslock R, Boland EM. The development and course of bipolar spectrum disorders: an integrated reward and circadian rhythm dysregulation model. Annu Rev Clin Psychol 2015; 11:213-50. [PMID: 25581235 PMCID: PMC4380533 DOI: 10.1146/annurev-clinpsy-032814-112902] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
In this article, we present and review the evidence for two major biopsychosocial theories of the onset and course of bipolar spectrum disorders (BSDs) that integrate behavioral, environmental, and neurobiological mechanisms: the reward hypersensitivity and the social/circadian rhythm disruption models. We describe the clinical features, spectrum, age of onset, and course of BSDs. We then discuss research designs relevant to demonstrating whether a hypothesized mechanism represents a correlate, vulnerability, or predictor of the course of BSDs, as well as important methodological issues. We next present the reward hypersensitivity model of BSD, followed by the social/circadian rhythm disruption model of BSD. For each model, we review evidence regarding whether the proposed underlying mechanism is associated with BSDs, provides vulnerability to the onset of BSDs, and predicts the course of BSDs. We then present a new integrated reward/circadian rhythm (RCR) dysregulation model of BSD and discuss how the RCR model explains the symptoms, onset, and course of BSDs. We end with recommendations for future research directions.
Collapse
Affiliation(s)
- Lauren B Alloy
- Department of Psychology, Temple University, Philadelphia, Pennsylvania 19122; ,
| | | | | |
Collapse
|
50
|
Park SC, Jang EY, Kim D, Jun TY, Lee MS, Kim JM, Kim JB, Jo SJ, Park YC. Dimensional approach to symptom factors of major depressive disorder in Koreans, using the Brief Psychiatric Rating Scale: The Clinical Research Center for Depression of South Korea Study. Kaohsiung J Med Sci 2015; 31:47-54. [DOI: 10.1016/j.kjms.2014.11.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Revised: 09/02/2014] [Accepted: 09/15/2014] [Indexed: 01/25/2023] Open
|