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Sajatovic M, Dols A, Rej S, Almeida OP, Beunders AJ, Blumberg HP, Briggs FB, Forester BP, Patrick RE, Forlenza OV, Gildengers A, Jimenez E, Vieta E, Mulsant B, Schouws S, Paans N, Strejilevich S, Sutherland A, Tsai S, Wilson B, Eyler LT. Bipolar symptoms, somatic burden, and functioning in older-age bipolar disorder: Analyses from the Global Aging & Geriatric Experiments in Bipolar Disorder Database project. Bipolar Disord 2022; 24:195-206. [PMID: 34314549 PMCID: PMC8792096 DOI: 10.1111/bdi.13119] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 06/22/2021] [Accepted: 07/20/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Literature on older-age bipolar disorder (OABD) is limited. This first-ever analysis of the Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD) investigated associations among age, BD symptoms, comorbidity, and functioning. METHODS This analysis used harmonized, baseline, cross-sectional data from 19 international studies (N = 1377). Standardized measures included the Young Mania Rating Scale (YMRS), Hamilton Depression Rating Scale (HAM-D), Montgomery-Asberg Depression Rating Scale (MADRS), and Global Assessment of Functioning (GAF). RESULTS Mean sample age was 60.8 years (standard deviation [SD] 12.2 years), 55% female, 72% BD I. Mood symptom severity was low: mean total YMRS score of 4.3 (SD 5.4) and moderate-to-severe depression in only 22%. Controlled for sample effects, both manic and depressive symptom severity appeared lower among older individuals (p's < 0.0001). The negative relationship between older age and symptom severity was similar across sexes, but was stronger among those with lower education levels. GAF was mildly impaired (mean =62.0, SD = 13.3) and somatic burden was high (mean =2.42, SD = 1.97). Comorbidity burden was not associated with GAF. However, higher depressive (p < 0.0001) and manic (p < 0.0001) symptoms were associated with lower GAF, most strongly among older individuals. CONCLUSIONS Findings suggest an attenuation of BD symptoms in OABD, despite extensive somatic burden. Depressive symptom severity was strongly associated with worse functioning in older individuals, underscoring the need for effective treatments of BD depression in older people. This international collaboration lays a path for the development of a better understanding of aging in BD.
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Affiliation(s)
- Martha Sajatovic
- Case Western Reserve University School of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Annemiek Dols
- GGZ inGeest, Amsterdam UMC, VU Medical Center, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Soham Rej
- Lady Davis Institute, McGill University, Montreal, Canada
| | | | - Alexandra J.M. Beunders
- GGZ inGeest, Amsterdam UMC, VU Medical Center, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Hilary P. Blumberg
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - Farren B.S. Briggs
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Brent P. Forester
- Division of Geriatric Psychiatry, McLean Hospital, Belmont, Massachusetts, USA and Harvard Medical School, Boston, MA
| | - Regan E. Patrick
- Division of Geriatric Psychiatry, McLean Hospital, Belmont, MA, USA
| | - Orestes V. Forlenza
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry, HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil
| | - Ariel Gildengers
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Esther Jimenez
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Benoit Mulsant
- Department of Psychiatry, University of Toronto, Center for Addiction & Mental Health, Toronto, Canada
| | - Sigfried Schouws
- GGZ ingest, Amsterdam UMC, VU Medical Center, Amsterdam, the Netherlands
| | - Nadine Paans
- GGZ inGeest, Amsterdam UMC, VU Medical Center, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Sergio Strejilevich
- AREA, Assistance and Research in Affective Disorders, Buenos Aires, Argentina
| | - Ashley Sutherland
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Shangying Tsai
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Betsy Wilson
- Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Lisa T. Eyler
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA and Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
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Shared and distinct changes in local dynamic functional connectivity patterns in major depressive and bipolar depressive disorders. J Affect Disord 2022; 298:43-50. [PMID: 34715198 DOI: 10.1016/j.jad.2021.10.109] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 09/13/2021] [Accepted: 10/23/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND Distinguishing bipolar depressive disorder (BDD) from major depressive disorder (MDD) solely relying on clinical clues is a challenge. Evidence in neuroimaging have revealed potential neurological markers for the differential diagnosis. METHODS We aimed to characterize common and specific alterations in the dynamic local functional connectivity pattern in BDD and MDD by using the dynamic regional phase synchrony (DRePS), a newly developed method for assessing intrinsic dynamic local functional connectivity. A total of 98 patients with MDD and 56 patients with BDD patients, and 97 age-, gender-, and education-matched healthy controls (HC) were included and underwent the resting-state functional magnetic resonance imaging. RESULTS Compared with HC, patients with two disorders shared decreased DRePS value in the bilateral orbitofrontal cortex (OFC) extends to insula, the right insula extends to hippocampus, the left hippocampus, the right inferior frontal gyrus (IFG), the left thalamus extends to caudate, the right caudate, the bilateral superior frontal gyrus (SFG), and the right medial frontal gyrus (MFG). Furthermore, patients with MDD exhibited specific decreased DRePS value in the left caudate. Moreover, voxel signals in these regions during the support vector machine analysis contributed to the classification of the two diagnoses. CONCLUSIONS Our findings provided new insight into the neural mechanism of patients with MDD and BDD and could potentially inform the diagnosis and the treatment of this disease.
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Abstract
PURPOSE OF REVIEW The present review aims to examine, summarize and update information on the sociodemographic and cultural determinants of mood disorders. RECENT FINDINGS Known sociodemographic and cultural determinants continue to be good predictors of the risk of developing a mood disorder over the lifetime. Polygenic risk scores do not appear to offer any advantages over these determinants at present. There is also new and emerging understanding of the role of lifestyle and environmental factors in mediating vulnerability to mood disorder. The influence of ethnicity and migration, on the other hand, is far more complex than initially envisaged. SUMMARY Recent evidence on sociodemographic determinants of mood disorders confirms associations derived from existing literature. There is also new and emerging evidence on how quality of sleep, diet and the environment influence risk of mood disorders. Culture and ethnicity, depending on context, may contribute to both vulnerability and resilience. Socioeconomic deprivation may be the final common pathway through which several sociodemographic and cultural determinants of mood disorders act.
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Affiliation(s)
- Migita M D'cruz
- DM Geriatric Psychiatry, Consultant, Geriatric Psychiatry, Kollam, Kerala, India
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Park SC, Jang EY, Kim JM, Jun TY, Lee MS, Kim JB, Yim HW, Park YC. Clinical Validation of the Psychotic Depression Assessment Scale, Hamilton Depression Rating Scale-6, and Brief Psychiatric Rating Scale-5: Results from the Clinical Research Center for Depression Study. Psychiatry Investig 2017; 14:568-576. [PMID: 29042881 PMCID: PMC5639124 DOI: 10.4306/pi.2017.14.5.568] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Revised: 07/26/2016] [Accepted: 08/15/2016] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE The aim of this study was to validate the psychotic depression assessment scale (PDAS), which includes the six-item melancholia subscale from the Hamilton depression rating scale (HAMD-6) and the five-item psychosis subscale from the brief psychiatric rating scale (BPRS-5). Data from the Clinical Research Center for Depression (CRESCEND) study, which is a 52-week naturalistic trial, were analyzed. METHODS Fifty-two patients with psychotic depression from the CRESCEND study met our inclusion criteria. The patients underwent the following psychometric assessments: the PDAS, including HAMD-6 and BPRS-5, the clinical global impression scales, the HAMD, the positive symptom subscale, and the negative symptom subscale. Assessments were performed at the baseline and then at weeks 1, 2, 4, 8, 12, 24, and 52. Spearman correlation analyses were used to assess the clinical validity and responsiveness of the PDAS. RESULTS The clinical validity and responsiveness of the PDAS, including HAMD-6 and BPRS-5, were acceptable, with the exception of the clinical responsiveness of the PDAS for positive symptoms and the clinical responsiveness of BPRS-5 for negative symptoms. CONCLUSION The clinical relevance of the PDAS has been confirmed and this clinical validation will enhance its clinical utility and availability.
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Affiliation(s)
- Seon-Cheol Park
- Department of Psychiatry, Inje University College of Medicine and Haeundae Paik Hospital, Busan, Republic of Korea
| | - Eun Young Jang
- Department of Counseling Psychology, Honam University College of Humanities and Social Sciences, Gwangju, Republic of Korea
| | - Jae-Min Kim
- Department of Psychiatry, Chonnam National University School of Medicine, Gwangju, Republic of Korea
| | - Tae-Youn Jun
- Department of Psychiatry, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
| | - Min-Soo Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jung-Bum Kim
- Department of Psychiatry, Keimyung University School of Medicine, Daegu, Republic of Korea
| | - Hyeon-Woo Yim
- Department of Preventive Medicine, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
| | - Yong Chon Park
- Department of Psychiatry, Hanyang University, Guri Hospital, Guri, Republic of Korea
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Park SC, Kim JM, Jun TY, Lee MS, Kim JB, Yim HW, Park YC. How many different symptom combinations fulfil the diagnostic criteria for major depressive disorder? Results from the CRESCEND study. Nord J Psychiatry 2017; 71:217-222. [PMID: 27981876 DOI: 10.1080/08039488.2016.1265584] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND The polythetic nature of major depressive disorder (MDD) in DSM- IV and DSM-5 inevitably leads to diagnostic heterogeneity. AIMS This study aimed to identify the number of depressive symptom combinations actually fulfilling the DSM-IV diagnostic criteria that can be found in Korean MDD patients and the relative frequencies of each combination. METHODS Using the data from the Clinical Research Center for Depression (CRESCEND) study in South Korea, we enrolled 853 MDD patients diagnosed using DSM-IV and scored as 8 or more on the Hamilton Depression Rating Scale (HAMD). Descriptive statistical analyses were performed to reveal the degree of diagnostic heterogeneity of the MDD. RESULTS This study identified 119 different depressive symptom combinations. The most common combination consisted of all nine depressive symptom profiles, and nine different combinations were each present in more than 3% of the patients. CONCLUSION The findings support the criticism that the diagnosis of MDD is not based on a single mental process, but on a set of 'family resemblances'.
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Affiliation(s)
- Seon-Cheol Park
- a Department of Psychiatry , Inje University Haeundae Paik Hospital , Busan , Republic of Korea
| | - Jae-Min Kim
- b Department of Psychiatry , Chonnam National University School of Medicine , Gwangju , Republic of Korea
| | - Tae-Youn Jun
- c Department of Psychiatry , Catholic University of Korea College of Medicine , Seoul , Republic of Korea
| | - Min-Soo Lee
- d Department of Psychiatry , Korea University College of Medicine , Seoul , Republic of Korea
| | - Jung-Bum Kim
- e Department of Psychiatry , Keimyung University School of Medicine , Daegu , Republic of Korea
| | - Hyeon-Woo Yim
- f Department of Preventive Medicine , Catholic University of Korea College of Medicine , Seoul , Republic of Korea
| | - Yong Chon Park
- g Department of Psychiatry , Hanyang University Guri Hospital , Guri , Republic of Korea
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Cho CH, Ahn YM, Kim SJ, Ha TH, Jeon HJ, Cha B, Moon E, Park DY, Baek JH, Kang HJ, Ryu V, An H, Lee HJ. Design and Methods of the Mood Disorder Cohort Research Consortium (MDCRC) Study. Psychiatry Investig 2017; 14:100-106. [PMID: 28096882 PMCID: PMC5240466 DOI: 10.4306/pi.2017.14.1.100] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2016] [Revised: 07/29/2016] [Accepted: 08/04/2016] [Indexed: 12/25/2022] Open
Abstract
The Mood Disorder Cohort Research Consortium (MDCRC) study is designed as a naturalistic observational prospective cohort study for early-onset mood disorders (major depressive disorders, bipolar disorders type 1 and 2) in South Korea. The study subjects consist of two populations: 1) patients with mood disorders under 25 years old and 2) patients with mood disorders within 2 years of treatment under 35 years old. After successful screening, the subjects are evaluated using baseline assessments and serial follow-up assessments at 3-month intervals. Between the follow-up assessments, subjects are dictated to check their own daily mood status before bedtime using the eMood chart application or a paper mood diary. At the regular visits every 3 months, inter-visit assessments are evaluated based on daily mood charts and interviews with patients. In addition to the daily mood chart, sleep quality, inter-visit major and minor mood episodes, stressful life events, and medical usage pattern with medical expenses are also assessed. Genomic DNA from blood is obtained for genomic analyses. From the MDCRC study, the clinical course, prognosis, and related factors of early-onset mood disorders can be clarified. The MDCRC is also able to facilitate translational research for mood disorders and provide a resource for the convergence study of mood disorders.
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Affiliation(s)
- Chul-Hyun Cho
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
| | - Yong-Min Ahn
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Se Joo Kim
- Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Tae Hyun Ha
- Department of Psychiatry, Seoul National University Bundang Hospital, College of Medicine, Seongnam, Republic of Korea
| | - Hong Jin Jeon
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Boseok Cha
- Department of Psychiatry, Gyeongsang National University College of Medicine, Jinju, Republic of Korea
| | - Eunsoo Moon
- Department of Psychiatry, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Dong Yeon Park
- Department of Psychiatry, Seoul National Hospital, Seoul, Republic of Korea
| | - Ji Hyun Baek
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hee-Ju Kang
- Department of Psychiatry, Chonnam National University College of Medicine, Gwangju, Republic of Korea
| | - Vin Ryu
- Department of Psychiatry, Seoul National Hospital, Seoul, Republic of Korea
| | - Hyonggin An
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Heon-Jeong Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
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