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Argyropoulos GD, Christidi F, Karavasilis E, Bede P, Velonakis G, Antoniou A, Seimenis I, Kelekis N, Smyrnis N, Papakonstantinou O, Efstathopoulos E, Ferentinos P. A Magnetic Resonance Spectroscopy Study on Polarity Subphenotypes in Bipolar Disorder. Diagnostics (Basel) 2024; 14:1170. [PMID: 38893696 PMCID: PMC11172378 DOI: 10.3390/diagnostics14111170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 05/27/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
Although magnetic resonance spectroscopy (MRS) has provided in vivo measurements of brain chemical profiles in bipolar disorder (BD), there are no data on clinically and therapeutically important onset polarity (OP) and predominant polarity (PP). We conducted a proton MRS study in BD polarity subphenotypes, focusing on emotion regulation brain regions. Forty-one euthymic BD patients stratified according to OP and PP and sixteen healthy controls (HC) were compared. 1H-MRS spectra of the anterior and posterior cingulate cortex (ACC, PCC), left and right hippocampus (LHIPPO, RHIPPO) were acquired at 3.0T to determine metabolite concentrations. We found significant main effects of OP in ACC mI, mI/tNAA, mI/tCr, mI/tCho, PCC tCho, and RHIPPO tNAA/tCho and tCho/tCr. Although PP had no significant main effects, several medium and large effect sizes emerged. Compared to HC, manic subphenotypes (i.e., manic-OP, manic-PP) showed greater differences in RHIPPO and PCC, whereas depressive suphenotypes (i.e., depressive-OP, depressive-PP) in ACC. Effect sizes were consistent between OP and PP as high intraclass correlation coefficients (ICC) were confirmed. Our findings support the utility of MRS in the study of the neurobiological underpinnings of OP and PP, highlighting that the regional specificity of metabolite changes within the emotion regulation network consistently marks both polarity subphenotypes.
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Affiliation(s)
- Georgios D. Argyropoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
| | - Foteini Christidi
- 2nd Department of Psychiatry, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.A.); (N.S.); (P.F.)
- School of Medicine, Democritus University of Alexandroupolis, 681 00 Alexandroupolis, Greece
- Computational Neuroimaging Group, Trinity College Dublin, D08 NHY1 Dublin, Ireland;
| | - Efstratios Karavasilis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
- School of Medicine, Democritus University of Alexandroupolis, 681 00 Alexandroupolis, Greece
| | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, D08 NHY1 Dublin, Ireland;
- Department of Neurology, St James’s Hospital, D08 W9RT Dublin, Ireland
| | - Georgios Velonakis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
| | - Anastasia Antoniou
- 2nd Department of Psychiatry, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.A.); (N.S.); (P.F.)
| | - Ioannis Seimenis
- Medical Physics Laboratory, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece;
| | - Nikolaos Kelekis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
| | - Nikolaos Smyrnis
- 2nd Department of Psychiatry, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.A.); (N.S.); (P.F.)
| | - Olympia Papakonstantinou
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
| | - Efstathios Efstathopoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece (E.K.); (G.V.); (N.K.); (O.P.); (E.E.)
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, School of Medicine, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.A.); (N.S.); (P.F.)
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Bartoli F, Bassetti C, Gazzola M, Gianfelice L, Cavaleri D, Crocamo C, Carrà G. Prevalence and correlates of manic/hypomanic and depressive predominant polarity in bipolar disorder: systematic review and meta-analysis. BJPsych Open 2024; 10:e100. [PMID: 38708573 PMCID: PMC11094450 DOI: 10.1192/bjo.2024.51] [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: 01/11/2024] [Revised: 02/23/2024] [Accepted: 03/10/2024] [Indexed: 05/07/2024] Open
Abstract
BACKGROUND Identification of the predominant polarity, i.e. hypomanic/manic (mPP) or depressive predominant polarity (dPP), might help clinicians to improve personalised management of bipolar disorder. AIMS We performed a systematic review and meta-analysis to estimate prevalence and correlates of mPP and dPP in bipolar disorder. METHOD The protocol was registered in the Open Science Framework Registries (https://doi.org/10.17605/OSF.IO/8S2HU). We searched main electronic databases up to December 2023 and performed random-effects meta-analyses of weighted prevalence of mPP and dPP. Odds ratios and weighted mean differences (WMDs) were used for relevant correlates. RESULTS We included 28 studies, providing information on rates and/or correlates of mPP and dPP. We estimated similar rates of mPP (weighted prevalence = 30.0%, 95% CI: 23.1 to 37.4%) and dPP (weighted prevalence = 28.5%, 95% CI: 23.7 to 33.7%) in bipolar disorder. Younger age (WMD = -3.19, 95% CI: -5.30 to -1.08 years), male gender (odds ratio = 1.39, 95% CI: 1.10 to 1.76), bipolar-I disorder (odds ratio = 4.82, 95% CI: 2.27 to 10.24), psychotic features (odds ratio = 1.56, 95% CI: 1.01 to 2.41), earlier onset (WMD = -1.57, 95% CI: -2.88 to -0.26 years) and manic onset (odds ratio = 13.54, 95% CI: 5.83 to 31.46) were associated with mPP (P < 0.05). Depressive onset (odds ratio = 12.09, 95% CI: 6.38 to 22.90), number of mood episodes (WMD = 0.99, 95% CI: 0.28 to 1.70 episodes), history of suicide attempts (odds ratio = 2.09, 95% CI: 1.49 to 2.93) and being in a relationship (odds ratio = 1.98, 95% CI: 1.22 to 3.22) were associated with dPP (P < 0.05). No differences were estimated for other variables. CONCLUSIONS Despite some limitations, our findings support the hypothesis that predominant polarity might be a useful specifier of bipolar disorder. Evidence quality was mixed, considering effects magnitude, consistency, precision and publication bias. Different predominant polarities may identify subgroups of patients with specific clinical characteristics.
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Affiliation(s)
- Francesco Bartoli
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Carlo Bassetti
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Marco Gazzola
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Letizia Gianfelice
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Daniele Cavaleri
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Cristina Crocamo
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Giuseppe Carrà
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; and Division of Psychiatry, University College London, UK
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Bartoli F, Malhi GS, Carrà G. Combining predominant polarity and affective spectrum concepts in bipolar disorder: towards a novel theoretical and clinical perspective. Int J Bipolar Disord 2024; 12:14. [PMID: 38696069 PMCID: PMC11065836 DOI: 10.1186/s40345-024-00336-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 04/15/2024] [Indexed: 05/05/2024] Open
Abstract
This is an overview of recent advances on predominant polarity conceptualization in bipolar disorder (BD). Current evidence on its operationalized definitions, possible contextualization within the affective spectrum, along with its epidemiological impact, and treatment implications, are summarized. Predominant polarity identifies three subgroups of patients with BD according to their mood recurrencies: (i) those with depressive or (ii) manic predominance as well as (iii) patients without any preponderance ('nuclear' type). A predominant polarity can be identified in approximately half of patients, with similar rates for depressive and manic predominance. Different factors may influence the predominant polarity, including affective temperaments. More generally, affective disorders should be considered as existing on a spectrum ranging from depressive to manic features, also accounting for disorders with 'ultrapredominant' polarity, i.e., unipolar depression and mania. While mixed findings emerge on its utility in clinical practice, it is likely that the construct of predominant polarity, in place of conventional differentiation between BD-I and BD-II, may be useful to clarify the natural history of the disorder and select the most appropriate interventions. The conceptualization of predominant polarity seems to reconcile previous theoretical views of both BD and affective spectrum into a novel perspective. It may provide useful information to clinicians for the early identification of possible trajectories of BD and thus guide them when selecting interventions for maintenance treatment. However, further research is needed to clarify the specific role of predominant polarity as a key determinant of BD course, outcome, and treatment response.
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Affiliation(s)
- Francesco Bartoli
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
| | - Gin S Malhi
- Academic Department of Psychiatry, Kolling Institute, Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- CADE Clinic and Mood-T, Royal North Shore Hospital, Northern Sydney Local Health District, Sydney, NSW, Australia
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Uehiro Centre for Practical Ethics, Faculty of Philosophy, University of Oxford, Oxford, UK
| | - Giuseppe Carrà
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Division of Psychiatry, University College London, London, UK
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Spoelma MJ, Leidreiter J, Bayes A, Jebejian A, Parker G. A naturalistic effectiveness study of maintenance therapies for the bipolar disorders. Acta Psychiatr Scand 2024; 149:98-109. [PMID: 38072004 PMCID: PMC10952660 DOI: 10.1111/acps.13646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 10/13/2023] [Accepted: 11/26/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND Treatment decision-making for individuals with bipolar disorder can be difficult. Recommendations from clinical practice guidelines can be affected by multiple methodological limitations, while pharmaco-epidemiological data suggest great variety in prescription practices across regions. Given these inconsistencies, this study aimed to provide an alternative perspective on the effectiveness of common bipolar disorder maintenance treatments through considering naturalistic data. METHODS A total of 246 individuals with bipolar disorder (84 bipolar I [BP-I], 162 bipolar II [BP-II]) were recruited through clinics and/or websites. All were euthymic and had trialled at least one mood stabiliser. They completed an online survey containing questions on demographics, clinical variables, symptomatology, and the effectiveness/side effect profiles of any mood stabilisers (MSTs) or atypical antipsychotics (AAPs) that they have taken. RESULTS Lithium and lamotrigine were the most commonly prescribed MSTs and the most effective at mood stabilisation. Lithium and lamotrigine appeared marginally more effective for BP-I and BP-II respectively, however, only the latter difference was statistically significant. Furthermore, lamotrigine had the more favourable side effect profile. Amongst the AAPs, quetiapine and olanzapine were the most commonly prescribed, but they were negligibly superior to other AAPs. CONCLUSION This study clearly established a preference for lamotrigine in the maintenance treatment of BP-II. While the literature consistently emphasises the primacy of lithium in bipolar disorder treatment, its side effect profile as observed in this study remains a concern. Future research considering moderators of treatment response and concomitant medications could help to identify further nuances to consider for treatment decision-making.
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Affiliation(s)
- Michael J. Spoelma
- Discipline of Psychiatry and Mental Health, School of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Black Dog InstituteSydneyNew South WalesAustralia
| | | | - Adam Bayes
- Discipline of Psychiatry and Mental Health, School of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Black Dog InstituteSydneyNew South WalesAustralia
| | | | - Gordon Parker
- Discipline of Psychiatry and Mental Health, School of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Gordon Private HospitalSydneyNew South WalesAustralia
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Teobaldi E, Pessina E, Martini A, Cattaneo CI, De Berardis D, Martiadis V, Maina G, Rosso G. Cariprazine Augmentation in Treatment-Resistant Bipolar Depression: Data from a Retrospective Observational Study. Curr Neuropharmacol 2024; 22:1742-1748. [PMID: 38288838 PMCID: PMC11284714 DOI: 10.2174/1570159x22666240129095852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/24/2023] [Accepted: 07/29/2023] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Treatment-resistant bipolar depression is one of the leading problems in psychiatry with serious consequences on patients functioning, quality of life and resource utilization. Despite this, there is a lack of consensus on diagnostic criteria and treatment algorithms. OBJECTIVE The objective of the present study is to assess the acute effectiveness and tolerability of cariprazine in the management of treatment resistant bipolar depression. METHODS This is a four weeks retrospective multicentric observational study on patients with treatment resistant bipolar depression receiving cariprazine in augmentation to the current treatment. Cariprazine dosage changed during the follow-up period according to clinical judgment. Since data followed a non-normal distribution, non-parametric tests were used to pursue the analysis. The effectiveness of cariprazine was assessed through the mean change in Hamilton Depression rating scale (HAM-D) scores from baseline to endpoint. For missing values, a "Last Observation Carried Forward" approach was applied. RESULTS Fifty-one patients were enrolled. Four patients (7.8%) discontinued cariprazine mainly due to adverse events. Mean cariprazine dose was 1.7 mg/day. The mean HAM-D score decreased significantly from baseline (T0) to week 4 (T4) at each evaluation point. Fourty-five one percent of the patients benefited of cariprazine add-on strategy: 23.5% achieved a clinical response and 21.6% were remitters. Among the completers, 70.6% experienced at least one adverse event. All side effects were mild to moderate. CONCLUSION Cariprazine seems to be an effective and well tolerated option in the management of patients with treatment resistant bipolar depression.
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Affiliation(s)
- Elena Teobaldi
- Department of Neurosciences, University of Turin, Turin 10126, Italy
| | - Enrico Pessina
- Department of Mental Health, Community Mental Health Center, ASL Cuneo 2, Alba, Italy
| | - Azzurra Martini
- Department of Mental Health, Community Mental Health Center, ASL Cuneo 2, Alba, Italy
| | | | - Domenico De Berardis
- Department of Mental Health, Psychiatric Service for Diagnosis and Treatment, Hospital “G. Mazzini”, ASL 4, Teramo, Italy
| | | | - Giuseppe Maina
- Department of Neurosciences, University of Turin, Turin 10126, Italy
- Department of Neurosciences, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy
| | - Gianluca Rosso
- Department of Neurosciences, University of Turin, Turin 10126, Italy
- Department of Neurosciences, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy
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Janiri D, Simonetti A, Moccia L, Hirsch D, Montanari S, Mazza M, Di Nicola M, Kotzalidis GD, Sani G. What Came First, Mania or Depression? Polarity at Onset in Bipolar I and II: Temperament and Clinical Course. Brain Sci 2023; 14:17. [PMID: 38248232 PMCID: PMC10813784 DOI: 10.3390/brainsci14010017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 01/23/2024] Open
Abstract
(1) Background: Bipolar disorder (BD) is divided into type I (BD-I) and type II (BD-II). Polarity at onset (PO) is a proposal to specify the clinical course of BD, based on the type of the first episode at disorder onset-depressive (D-PO) or manic (M-PO). At the same time, affective temperaments represent preexisting variants of the spectrum of affective disorders. Our objectives were to investigate the hypothesis that temperament may exert an influence on PO, and that this factor can serve as an indicator of the forthcoming course of the disorder, carrying significant therapeutic implications. (2) Methods: We included 191 patients with BD and examined clinical variables and temperament; the latter was assessed using the short version of the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego-Auto-questionnaire (TEMPS-A-39-SV). We tested the associations between these variables and PO using standard univariate/bivariate methods followed by multivariate logistic regression models. (3) Results: 52.9% of the sample had D-PO and 47.1% had M-PO. D-PO and M-PO patients scored higher for dysthymic and hyperthymic temperaments, respectively (p < 0.001). Also, they differed in BD subtypes, age at first affective episode, illness duration, number of depressive episodes, seasonality, suicide risk, substance use, lithium, and benzodiazepine use (p < 0.05). Only BD-II and age at first depressive episode were predictors of D-PO, whereas BD-I, age at first manic/hypomanic episode, and hyperthymic temperament were predictors of M-PO (p < 0.01). (4) Conclusions: Our findings point to the importance of carefully assessing temperament and PO in patients with BD, to better predict the clinical course and tailor therapeutic interventions to individual patients' needs.
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Affiliation(s)
- Delfina Janiri
- Department of Neuroscience, Section of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168 Rome, Italy; (A.S.); (L.M.); (D.H.); (S.M.); (M.M.); (M.D.N.); (G.D.K.); (G.S.)
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Teh WL, Liu J, Chandwani N, Lee YW, Tor PC, Subramaniam M, Ho RC. Emotional urgency predicts bipolar symptoms, severity, and suicide attempt better than non-emotional impulsivity: a cross-sectional study. Front Psychol 2023; 14:1277655. [PMID: 38106393 PMCID: PMC10722176 DOI: 10.3389/fpsyg.2023.1277655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 10/30/2023] [Indexed: 12/19/2023] Open
Abstract
Introduction Emotional urgency is an emotion-based subdimension of trait impulsivity that is more clinically relevant to psychopathology and disorders of emotion dysfunction than non-emotional subdimensions (i.e., lack of perseverance, sensation seeking, lack of premeditation). However, few studies have examined the relative effects of emotional urgency in bipolar disorder. This cross-sectional study aimed to establish the clinical relevance of emotional urgency in bipolar disorders by (1) explicating clinically relevant correlates of emotional urgency and (2) comparing its effects against non-emotional impulsivity subdimensions. Methods and results A total of 150 individuals with bipolar disorder were recruited between October 2021 and January 2023. Zero-order correlations found that emotional urgency had the greatest effect on bipolar symptoms (r = 0.37 to 0.44). Multiple two-step hierarchical regression models showed that (1) positive urgency predicted past manic symptomology and dysfunction severity (b = 1.94, p < 0.001 and 0.35 p < 0.05, respectively), (2) negative urgency predicted current depression severity, and (3) non-emotional facets of impulsivity had smaller effects on bipolar symptoms and dysfunction by contrast, and were non-significant factors in the final step of all regression models (b < 0.30, ns); Those who had a history of attempted suicide had significantly greater levels of emotional urgency (Cohen's d = -0.63). Discussion Notwithstanding the study's limitations, our findings expand status quo knowledge beyond the perennial relationship between non-emotion-based impulsivity and bipolar disorder and its implications.
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Affiliation(s)
- Wen Lin Teh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Institute of Mental Health, Singapore, Singapore
| | - Jianlin Liu
- Institute of Mental Health, Singapore, Singapore
| | | | - Yu Wei Lee
- Institute of Mental Health, Singapore, Singapore
| | | | | | - Roger C. Ho
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Psychological Medicine, National University of Singapore, Singapore, Singapore
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Wang Z, Cao H, Cao Y, Song H, Jiang X, Wei C, Yang Z, Li J. Clinical characteristics and cognitive function in bipolar disorder patients with different onset symptom. Front Psychiatry 2023; 14:1253088. [PMID: 37840798 PMCID: PMC10569422 DOI: 10.3389/fpsyt.2023.1253088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 09/01/2023] [Indexed: 10/17/2023] Open
Abstract
Background In recent years, studies on the clinical features and cognitive impairment of patients with different first-episode types of bipolar disorder have received increasing attention. The patients with bipolar disorder may present with different symptoms at first onset. The aim of this study is to assess the cognitive functions of a patient's index episode of bipolar disorder, depression or mania, on risk factors of effecting on cognitive functions. Method One hundred sixty eight patients with bipolar disorder diagnosed for the first time were enrolled in the study. All patients were divided into two groups according to their index episode of bipolar disorder, either depression or mania. Seventy three patients of the cohort had an index episode mania and 95 patients had initial symptoms of depression. Demographic and clinical disease characteristic data of all enrolled patients were collected. Meanwhile, 75 healthy controls were included. Demographic data of controls were collected. The cognitive functions of all patients and controls were detected by continuous performance test (CPT), digital span test (DST) and Wisconsin card sorting test (WCST). The main cognitive functions data were compared among the mania group, depression group and control group. The relevant risk factors affecting cognitive function were analyzed. Results (1) Most patients with bipolar disorder had an index episode depression (56.55% vs. 43.45%). Compared with the depression group, the mania group had later age of onset [(24.01 ± 4.254) vs. (22.25 ± 6.472), t = 2. 122, p = 0.035]. The education level of patient groups was lower than control group (p < 0.001). (2) The healthy control group's DST, WCST and CPT scores were better than the patient groups (All p < 0.05). The mania group's DST (forward, reverse, sum), WCST (total responses, completed classifications, correct responses, incorrect responses, percentage of correct responses, completed the number of responses required for classification, the percentage of conceptualization level, the number of persistent responses, non-persistent errors), CPT (2 digit score, 3 digit score, 4 digit score) was better than the depression group (p < 0.05). (3) In mania group, correlation analysis showed that all CPT parameter, inverse digit span, and the sum of DST was negatively correlated with the education level (All p < 0.05). The CPT-4 digit score was negatively correlated with onset age (p < 0.05). In the WCST, the number of correct responses, the percentage of correct responses and the percentage of conceptualization level were positively correlated with the BRMS score (All p < 0.05). The number of false responses and persistent responses were negatively correlated with the BRMS score (All p < 0.05). The number of persistent errors and percentage of persistent errors was positively correlated with education years (All p < 0.05). In depression group, there was a positive correlation between inverse digit span and the education level (p < 0.05). Conclusion In our study, there were cognitive impairments in attention, memory, and executive function of patients with different onset syndromes of bipolar disorder. Compared with the mania group, the degree of cognitive impairments in bipolar patients with the depressive episode was more severe. The risk factors affecting cognitive impairments included the age of onset, education level, number of hospitalizations and severity of illness.
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Affiliation(s)
- Zhonggang Wang
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
| | - Haiyan Cao
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin, China
| | - Yuying Cao
- Department of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China
| | - Haining Song
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
- Department of Psychiatry, Jining Medical University, Jining, China
| | - Xianfei Jiang
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
| | - Chen Wei
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
| | - Zhenzhen Yang
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
| | - Jie Li
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin, China
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Zhang J, Liang S, Liu X, Li D, Zhou F, Xiao L, Liu J, Sha S. Factors associated with suicidal attempts in female patients with mood disorder. Front Public Health 2023; 11:1157606. [PMID: 37818303 PMCID: PMC10560740 DOI: 10.3389/fpubh.2023.1157606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 09/08/2023] [Indexed: 10/12/2023] Open
Abstract
Aim This study aims to establish a nomogram model to predict the relevance of SA in Chinese female patients with mood disorder (MD). Method The study included 396 female participants who were diagnosed with MD Diagnostic Group (F30-F39) according to the 10th Edition of Disease and Related Health Problems (ICD-10). Assessing the differences of demographic information and clinical characteristics between the two groups. LASSO Logistic Regression Analyses was used to identify the risk factors of SA. A nomogram was further used to construct a prediction model. Bootstrap re-sampling was used to internally validate the final model. The Receiver Operating Characteristic (ROC) curve and C-index was also used to evaluate the accuracy of the prediction model. Result LASSO regression analysis showed that five factors led to the occurrence of suicidality, including BMI (β = -0.02, SE = 0.02), social dysfunction (β = 1.72, SE = 0.24), time interval between first onset and first dose (β = 0.03, SE = 0.01), polarity at onset (β = -1.13, SE = 0.25), and times of hospitalization (β = -0.11, SE = 0.06). We assessed the ability of the nomogram model to recognize suicidality, with good results (AUC = 0.76, 95% CI: 0.71-0.80). Indicating that the nomogram had a good consistency (C-index: 0.756, 95% CI: 0.750-0.758). The C-index of bootstrap resampling with 100 replicates for internal validation was 0.740, which further demonstrated the excellent calibration of predicted and observed risks. Conclusion Five factors, namely BMI, social dysfunction, time interval between first onset and first dose, polarity at onset, and times of hospitalization, were found to be significantly associated with the development of suicidality in patients with MD. By incorporating these factors into a nomogram model, we can accurately predict the risk of suicide in MD patients. It is crucial to closely monitor clinical factors from the beginning and throughout the course of MD in order to prevent suicide attempts.
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Affiliation(s)
- Jinhe Zhang
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, The Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, Capital Medical University, Beijing, China
- The Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Sixiang Liang
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, The Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, Capital Medical University, Beijing, China
- The Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xinyu Liu
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, The Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, Capital Medical University, Beijing, China
- The Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Dan Li
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, The Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, Capital Medical University, Beijing, China
- The Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Fuchun Zhou
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, The Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, Capital Medical University, Beijing, China
- The Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Le Xiao
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, The Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, Capital Medical University, Beijing, China
- The Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jun Liu
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, The Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, Capital Medical University, Beijing, China
- The Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Sha Sha
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, The Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, Capital Medical University, Beijing, China
- The Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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Menculini G, Steardo LJ, Verdolini N, D'Angelo M, Chipi E, Cirimbilli F, Orsolini L, Volpe U, De Fazio P, Tortorella A. Chronotype is associated with affective temperaments, clinical severity and worse treatment outcomes in bipolar disorders: results from a two-center, cross-sectional study. Int J Psychiatry Clin Pract 2023; 27:248-256. [PMID: 36622183 DOI: 10.1080/13651501.2022.2160763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 11/30/2022] [Accepted: 12/15/2022] [Indexed: 01/10/2023]
Abstract
OBJECTIVE The present study was aimed at investigating the clinical correlates of evening chronotype in a population of subjects suffering from bipolar disorders (BD). METHODS We assessed chronotype using the Morningness-Eveningness Questionnaire. We administered the brief Temperament Evaluation of Memphis, Pisa, and San Diego, the Barratt Impulsiveness Scale, and the Alda Scale to evaluate affective temperaments, impulsiveness, and response to mood stabilisers. We performed bivariate analyses and ran a logistic regression model to analyse clinical variables associated with evening chronotype. RESULTS In our sample (n = 178), subjects with an evening chronotype (n = 56, 31.5%) more often suffered from BD type I and reported higher prevalence of seasonality, antidepressant-induced mood switches, psychotic, aggressive, mixed, and anxiety features, and substance use disorders. The number of lifetime suicide attempts and mood episodes was higher in this subgroup. Depressive, cyclothymic, irritable, and anxious temperament scores were higher among evening-chronotype subjects, who also displayed greater levels of impulsiveness and worse treatment response. At the logistic regression, evening chronotype was associated with depressive and irritable temperaments. CONCLUSIONS Subjects with evening chronotype display higher clinical severity and worse BD course. Clinicians should evaluate the presence of evening chronotype in BD subjects, especially in those with irritable or depressive temperament.Key pointsEvening chronotype is a frequent clinical feature in subjects suffering from bipolar disorders (BD);Affective temperaments, particularly depressive and irritable, are associated with evening chronotype in BD;Evening chronotype underpins higher severity of the clinical picture in BD, as well as a worse response to mood stabiliser treatment;Circadian preferences should be systematically assessed in subjects suffering from BD, with particular attention to evening preference.
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Affiliation(s)
- Giulia Menculini
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Luca Jr Steardo
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Norma Verdolini
- Local Health Unit Umbria 1, Department of Mental Health, Mental Health Center of Perugia, Perugia, Italy
| | - Martina D'Angelo
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Elena Chipi
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Federica Cirimbilli
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Laura Orsolini
- Unit of Clinical Psychiatry, Department of Clinical Neurosciences/DIMSC, School of Medicine, Polytechnic University of Marche, Ancona, Italy
| | - Umberto Volpe
- Unit of Clinical Psychiatry, Department of Clinical Neurosciences/DIMSC, School of Medicine, Polytechnic University of Marche, Ancona, Italy
| | - Pasquale De Fazio
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Alfonso Tortorella
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
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11
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Zhang G, Xiao Q, Wang C, Gao W, Su L, Lu G, Zhong Y. The Different Impact of Depressive or Manic First-episode on Pediatric Bipolar Disorder Patients: Evidence From Resting-state fMRI. Neuroscience 2023; 526:185-195. [PMID: 37385333 DOI: 10.1016/j.neuroscience.2023.06.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 06/14/2023] [Accepted: 06/16/2023] [Indexed: 07/01/2023]
Abstract
Bipolar disorder may begin as depression or mania, which can affect the treatment and prognosis of bipolar disorder. However, the physiological and pathological differences of pediatric bipolar disorder (PBD) patients with different onset symptoms are not clear. The purpose of this study was to investigate the differences of clinical, cognitive function and intrinsic brain networks in PBD patients with first-episode depression and first-episode mania. A total of 63 participants, including 43 patients and 20 healthy controls, underwent resting-state fMRI scans. PBD patients were classified as first-episode depressive and first-episode manic based on their first-episode symptoms. Cognitive tests were used to measure attention and memory of all participants. Independent component analysis (ICA) was used to extract the salience network (SN), default-mode network (DMN), central executive network (ECN) and limbic network (LN) for each participant. Spearman rank correlation analysis was performed between abnormal activation and clinical and cognitive measures. The results showed that there were differences in cognitive functions such as attention and visual memory between first-episode depression and mania, as well as differences activation in anterior cingulate cortex (ACC), posterior cingulate cortex (PCC), precuneus, inferior parietal cortex and parahippocampus. And significant associations of brain activity with clinical assessments or cognition were found in different patients. In conclusion, we found differential impairments in cognitive and brain network activation in first-episode depressive and first-episode manic PBD patients, and correlations were found between these impairments. These evidences may shed light on the different developmental paths of bipolar disorder.
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Affiliation(s)
- Gui Zhang
- School of Psychology, Nanjing Normal University, Nanjing 210097, China
| | - Qian Xiao
- Mental Health Centre of Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Chun Wang
- Department of Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, Jiangsu, China
| | - Weijia Gao
- Children's Hospital affiliated to the Medical College of Zhejiang University, Hangzhou 310003, Zhejiang, China
| | - Linyan Su
- Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Guangming Lu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 210093 Nanjing, Jiangsu, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing 210097, China.
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12
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Decker K, Murata S, Baig N, Hasan S, Halaris A. Utilizing the Systemic Immune-Inflammation Index and Blood-Based Biomarkers in Association with Treatment Responsiveness amongst Patients with Treatment-Resistant Bipolar Depression. J Pers Med 2023; 13:1245. [PMID: 37623494 PMCID: PMC10455950 DOI: 10.3390/jpm13081245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 07/28/2023] [Accepted: 08/03/2023] [Indexed: 08/26/2023] Open
Abstract
(1) Background: Inflammation is associated with depressive illness and treatment resistance. This study assessed a novel inflammatory index, the Systemic Immune-Inflammation Index (SII), in patients diagnosed with treatment-resistant bipolar depression (TRBDD) before and after treatment with escitalopram (ESC) and celecoxib (CBX) add-on or ESC and placebo (PBO), and compared them to healthy control (HC) subjects. (2) Methods: This is a secondary biological analysis from a double-blind randomized placebo-controlled trial of CBX augmentation in TRBDD. Our subsample with available complete blood count (CBC) data included 52 TRBDD subjects, randomized into an ESC + CBX, (n = 29), an ESC + PBO arm (n = 23), and an HC group (n = 32). SII was calculated from the CBC with differential (SII = platelets x neutrophils/lymphocytes) at baseline and end of treatment (8 weeks). Blood inflammation biomarkers, growth factors, and kynurenine metabolites were determined at both timepoints. Depressive symptom severity was the primary outcome, using the HAMD-17 rating scale score to quantitate treatment response and remission rates. (3) Results: Baseline SII did not discriminate TRBDD from HC, nor was it associated with HAMD-17 score at any timepoint, although it was significantly associated with lower baseline VEGF (p = 0.011) and higher week 8 levels of IL1-β (p = 0.03) and CRP (p = 0.048). Post-treatment HAMD-17 was not independently predicted using baseline SII unless an interaction with age was present (p = 0.003 was included), even after relevant adjustments. A similar effect was seen with baseline neutrophils. (4) Conclusions: While SII was not an independent predictor of treatment outcome, elevated baseline SII was a predictor of poor treatment response amongst older patients with TRBDD.
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Affiliation(s)
- Kyle Decker
- Department of Psychiatry and Behavioral Neurosciences, Loyola University Chicago Stritch School of Medicine, Loyola University Medical Center, Maywood, IL 60153, USA; (K.D.); (N.B.); (A.H.)
- Stritch School of Medicine, Loyola University, Maywood, IL 60153, USA
| | - Stephen Murata
- Pine Rest Christian Mental Health Services, Michigan State University, Grand Rapids, MI 49548, USA
| | - Nausheen Baig
- Department of Psychiatry and Behavioral Neurosciences, Loyola University Chicago Stritch School of Medicine, Loyola University Medical Center, Maywood, IL 60153, USA; (K.D.); (N.B.); (A.H.)
- Stritch School of Medicine, Loyola University, Maywood, IL 60153, USA
| | - Sakibur Hasan
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA;
| | - Angelos Halaris
- Department of Psychiatry and Behavioral Neurosciences, Loyola University Chicago Stritch School of Medicine, Loyola University Medical Center, Maywood, IL 60153, USA; (K.D.); (N.B.); (A.H.)
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13
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Barbuti M, Menculini G, Verdolini N, Pacchiarotti I, Kotzalidis GD, Tortorella A, Vieta E, Perugi G. A systematic review of manic/hypomanic and depressive switches in patients with bipolar disorder in naturalistic settings: The role of antidepressant and antipsychotic drugs. Eur Neuropsychopharmacol 2023; 73:1-15. [PMID: 37119556 DOI: 10.1016/j.euroneuro.2023.04.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 03/13/2023] [Accepted: 04/13/2023] [Indexed: 05/01/2023]
Abstract
The present systematic review was aimed at critically summarizing the evidence about treatment-emergent manic/hypomanic and depressive switches during the course of bipolar disorder (BD). A systematic search of the MEDLINE, EMBASE, CINAHL, Web of Science, and PsycInfo electronic databases was conducted until March 24th, 2021, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Observational studies clearly reporting data regarding the prevalence of treatment-emergent mood switches in patients with BD were considered for inclusion. Thirty-two original studies met the inclusion criteria. In the majority of cases, manic switches were analyzed; only 3 papers investigated depressive switches in type I BD. Treatment-emergent mania/hypomania in BD subjects ranged from 17.3% to 48.8% and was more frequent with antidepressant monotherapy compared to combination treatment with mood stabilizers, especially lithium, or second-generation antipsychotics. A higher likelihood of mood switch has been reported with tricyclics and a lower rate with bupropion. Depressive switches were detected in 5-16% of type I BD subjects and were associated with first-generation antipsychotic use, the concomitant use of first- and second-generation antipsychotics, and benzodiazepines. The included studies presented considerable methodological heterogeneity, small sample sizes and comparability flaws. In conclusion, many studies, although heterogeneous and partly discordant, have been conducted on manic/hypomanic switches, whereas depressive switches during treatment with antipsychotics are poorly investigated. In BD subjects, both antidepressant and antipsychotic medications seems to play a role in the occurrence of mood switches, although the effects of different pharmacological compounds have yet to be fully investigated.
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Affiliation(s)
- Margherita Barbuti
- Psychiatry Unit 2, Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56126, Pisa, PI, Italy
| | - Giulia Menculini
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Piazzale Lucio Severi 1, 06132 Perugia, Italy
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel, 08036, Barcelona, Catalonia, Spain
| | - Isabella Pacchiarotti
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel, 08036, Barcelona, Catalonia, Spain
| | - Georgios D Kotzalidis
- Centro Lucio Bini, Department of Neurosciences, Mental Health, and Sensory Organs (NESMOS), Sapienza University, Via Crescenzio 42, Via di Grottarossa 1035-1039, 00189, 00193, Rome, Italy
| | - Alfonso Tortorella
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Piazzale Lucio Severi 1, 06132 Perugia, Italy
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel, 08036, Barcelona, Catalonia, Spain
| | - Giulio Perugi
- Psychiatry Unit 2, Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56126, Pisa, PI, Italy.
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14
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Bhardwaj S, Sinha D, Pawar A, Mane A. Predominant polarity in bipolar affective disorder and its impact on cognition and quality of life. Indian J Psychiatry 2023; 65:641-646. [PMID: 37485407 PMCID: PMC10358811 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_163_23] [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: 03/11/2023] [Revised: 04/20/2023] [Accepted: 04/23/2023] [Indexed: 07/25/2023] Open
Abstract
Background Bipolar mood disorder or bipolar affective disorder (BPAD) is a chronic illness characterized by phases of mania/hypomania, depression, or mixed episodes. The course of bipolar mood disorder is relapsing in nature. It is associated with high comorbidity rates, a large number of premature deaths due to suicide, and a worse social and work performance. All of those characteristics entail a significant economic impact due to both direct and indirect costs and require an effective diagnostic and therapeutic approach. Lifetime prevalence of BPAD is approximately 4% worldwide. Various attempts have been made to define "predominance" of polarity in BPAD. Need for this Study Our study tries to highlight the existence of predominant polarity by comparing effects of the same on substance consumption, cognitive abilities, quality of life, and preponderance of specific polarity to specific gender. Method After Institutional Ethics Committee Approval and written informed consent, patients who were diagnosed with BPAD attending out-patient department of a tertiary care hospital in Mumbai were recruited. A total of 57 participants were enrolled. The World Health Organization Quality of Life - Brief Scale (WHOQOL BREF) and the Montréal Cognitive Assessment (MoCA) were both used to evaluate the patients' quality of life and cognitive ability, respectively. Discussion and Results Men exhibited manic predominant polarity, while women had depressive predominant polarity, with P value of. 003. Regarding age, illness length, education, substance abuse, family history, and suicide attempts, there was no discernible difference in the polarities. The outcome of female bipolar patients may be improved if the clinician is mindful of the burden of depression, risk of misdiagnosis, and variable therapy response. Interestingly, our study found no significant difference between MoCA scores of those with depressive and manic polarity. Substantial MoCA score differences were found between the groups with depressive polarity and no polarity. Conclusion Men were observed to experience more manic episodes. More women in the study experienced predominantly depressive polarity, highlighting the need to probe for a past history of hypomania or mixed episodes to avoid misdiagnosis as unipolar depression in them. Manic predominate polarity performed better in the physical and psychological domains of the post hoc test for quality-of-life BREF scale. There were substantial MoCA score differences between the groups with depressive polarity and no polarity, with the depressive polarity showing more cognitive decline.
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Affiliation(s)
- Shashank Bhardwaj
- Department of Psychiatry, Dr. R. N. Cooper Hospital and HBT Medical College, Mumbai, Maharashtra, India
| | - Deoraj Sinha
- Department of Psychiatry, Dr. R. N. Cooper Hospital and HBT Medical College, Mumbai, Maharashtra, India
| | - Ami Pawar
- Department of Psychiatry, Dr. R. N. Cooper Hospital and HBT Medical College, Mumbai, Maharashtra, India
| | - Astik Mane
- Department of Psychiatry, Dr. R. N. Cooper Hospital and HBT Medical College, Mumbai, Maharashtra, India
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15
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Argyropoulos GD, Christidi F, Karavasilis E, Bede P, Antoniou A, Velonakis G, Seimenis I, Kelekis N, Smyrnis N, Papakonstantinou O, Efstathopoulos E, Ferentinos P. Predominant polarity as a neurobiological specifier in bipolar disorder: Evidence from a multimodal neuroimaging study. Prog Neuropsychopharmacol Biol Psychiatry 2023; 123:110718. [PMID: 36634808 DOI: 10.1016/j.pnpbp.2023.110718] [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: 07/04/2022] [Revised: 11/28/2022] [Accepted: 01/06/2023] [Indexed: 01/11/2023]
Abstract
BACKGROUND While predominant (PP) and onset polarity (OP) have considerable clinical and treatment implications in bipolar disorder (BD), the neurobiological underpinnings of PP and OP from a radiological perspective remain largely unknown. The main objective of this study is to investigate the neuroanatomical profile of polarity subphenotypes (PP and OP) in euthymic BD patients, using a standardized multimodal neuroimaging protocol to evaluate regional gray matter (GM) volumes, cortical thickness, as well as white matter (WM) integrity of major projection, commissural and association tracts. METHODS Forty-two euthymic BD patients stratified for PP and OP and 42 healthy controls (HC) were included in this computational neuroimaging study to comprehensively characterize gray and white matter alterations. Univariate analyses of covariance (ANCOVAs) were conducted with Bonferroni corrections for each MRI modality and Cohen's d effect sizes were calculated for group comparisons. RESULTS Phenotype-associated cortical thickness abnormalities and volumetric alterations were identified, but no WM changes ascertained. Specifically, we found a main effect of OP on GM volume of left middle frontal gyrus and of OP and PP (either or both) on cortical thickness of various regions previously implicated in BD, i.e. inferior frontal gyrus-pars opercularis (left) and pars orbitalis (bilateral), left lateral orbitofrontal gyrus, bilateral medial segment of the superior frontal gyrus, left planum polare, right anterior cingulate gyrus, left anterior and posterior insula, bilateral frontal operculum (both OP and PP); left anterior and posterior orbitofrontal gyrus, left transverse temporal gyrus, right posterior insula (only OP); and right medial frontal cortex (only PP). Based on the magnitude of differences on pairwise comparisons, we found a large effect of OP on cortical thickness in a single region (left anterior orbitofrontal gyrus) (OP-M > OP-D), while PP subgroups showed large or medium effect size differences in cortical thickness (PP-M > PP-D) in a wider array of regions (right medial frontal cortex, left frontal operculum, left inferior frontal gyrus-pars opercularis, bilateral medial segment of the superior frontal gyrus). For most regions, PP-D patients showed the greatest decreases in cortical thickness compared to HC while PP-M showed the smallest, with PP-U showing an "unspecified" pattern mostly lying in-between PP-D and PP-M. CONCLUSIONS Our multimodal imaging findings suggest specific polarity BD subgroups with compromised cortical thickness; we recorded a greater impact of PP on brain structure compared to OP, which provides additional evidence that PP can be considered as a neurobiological specifier in BD.
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Affiliation(s)
- Georgios D Argyropoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Foteini Christidi
- 2nd Department of Psychiatry, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; Medical Physics Laboratory, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
| | - Efstratios Karavasilis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; School of Medicine, Democritus University of Thrace, Alexandroupolis, Greece
| | - Peter Bede
- Department of Neurology, St James's Hospital, Dublin, Ireland; Computational Neuroimaging Group, Trinity College Dublin, Ireland
| | - Anastasia Antoniou
- 2nd Department of Psychiatry, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Velonakis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Seimenis
- Medical Physics Laboratory, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Kelekis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Smyrnis
- 2nd Department of Psychiatry, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Olympia Papakonstantinou
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Efstathios Efstathopoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, Attikon General University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
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16
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Kjærstad HL, Haldorsen T, Vinberg M, Kessing LV, Miskowiak KW. Associations between emotional and non-emotional cognition and subsequent mood episodes in recently diagnosed patients with bipolar disorder: A 16-month follow-up study. J Affect Disord 2023; 324:16-23. [PMID: 36565963 DOI: 10.1016/j.jad.2022.12.061] [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: 09/05/2022] [Revised: 12/09/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is associated with impairments in both emotional and non-emotional cognition. Recently, cognitive impairments have attracted increasing research interest as markers of prognosis and possible treatment targets in patients with BD. However, there is a paucity of studies investigating cognitive predictors of prognosis in BD. METHODS We assessed 148 recently diagnosed, symptomatically stable patients with BD with a battery of emotional and non-emotional cognitive tests and followed them up over 16 months as part of an ongoing cohort study. Multiple linear regression analyses were conducted to examine the associations between cognitive performance at baseline and the recurrence and duration of (hypo)manic and depressive episodes, respectively, with adjustment for age, sex, subsyndromal symptoms and time between assessments. RESULTS Poorer recognition of negative facial expressions and more negative emotions in neutral daily life scenarios were associated with greater frequency (ps ≤ .04) and longer duration (ps ≤ .03) of subsequent (hypo)manic episodes over the 16-month follow-up period. In addition, poorer global cognition, attention and psychomotor speed, and verbal fluency were associated with more (hypo)manic episodes (ps ≤ .04). Finally, more difficulty down-regulating emotion in negative social scenarios was associated with depressive relapse (p = .007). It was a limitation that patients had a delayed diagnosis of seven years from their first mood episode despite being recently diagnosed. CONCLUSION Trait-related cognitive impairments influence the early course in recently diagnosed patients with BD, particularly (hypo)manic relapse. Early prophylactic strategies targeting cognitive impairments may increase resilience and the course of illness in recently diagnosed patients with BD.
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Affiliation(s)
- Hanne Lie Kjærstad
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark.
| | - Thea Haldorsen
- Department of Psychology, University of Copenhagen, Denmark
| | - Maj Vinberg
- Mental Health Centre, Northern Zealand, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Psychology, University of Copenhagen, Denmark
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Hasseris S, Albiñana C, Vilhjalmsson BJ, Mortensen PB, Østergaard SD, Musliner KL. Polygenic Risk and Episode Polarity Among Individuals With Bipolar Disorder. Am J Psychiatry 2023; 180:200-208. [PMID: 36651623 DOI: 10.1176/appi.ajp.22010003] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
OBJECTIVE The authors investigated associations between polygenic liabilities for bipolar disorder, major depression, and schizophrenia and episode polarity among individuals with bipolar disorder. METHODS The sample consisted of 2,705 individuals diagnosed with bipolar disorder at Danish psychiatric hospitals between January 1995 and March 2017. DNA was obtained from dried blood spots collected at birth as part of routine screening. Polygenic risk scores (PRSs) for bipolar disorder, major depression, and schizophrenia were generated using a meta-PRS method combining internally and externally trained components. Associations between PRS and polarity at first episode, polarity at any episode, and number of episodes with a given polarity were evaluated for each disorder-specific PRS using logistic and negative binominal regressions adjusted for the other two PRSs, age, sex, genotype platform, and five ancestral principal components. RESULTS PRS for bipolar disorder was positively associated with any manic episodes (odds ratio=1.23, 95% CI=1.09-1.38). PRS for depression was positively associated with any depressive (odds ratio=1.11, 95% CI=1.01-1.23) and mixed (odds ratio=1.15, 95% CI=1.03-1.28) episodes and negatively associated with any manic episodes (odds ratio=0.76, 95% CI=0.69-0.84). PRS for schizophrenia was positively associated with any manic episodes (odds ratio=1.13, 95% CI=1.01-1.27), but only when psychotic symptoms were present (odds ratio for psychotic mania: 1.27, 95% CI=1.05-1.54; odds ratio for nonpsychotic mania: 1.06, 95% CI=0.93-1.20). These patterns were similar for first-episode polarity and for the number of episodes within each pole. CONCLUSIONS PRSs for bipolar disorder, major depression, and schizophrenia are associated with episode polarity and psychotic symptoms in a congruent manner among individuals with bipolar disorder.
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Affiliation(s)
- Sofie Hasseris
- Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark (Hasseris, Østergaard, Musliner); Department of Clinical Medicine (Hasseris, Østergaard, Musliner), National Center for Register-Based Research (Albiñana, Vilhjalmsson, Mortensen, Musliner), ; Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH) (Albiñana, Vilhjalmsson, Mortensen, Musliner)
| | - Clara Albiñana
- Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark (Hasseris, Østergaard, Musliner); Department of Clinical Medicine (Hasseris, Østergaard, Musliner), National Center for Register-Based Research (Albiñana, Vilhjalmsson, Mortensen, Musliner), ; Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH) (Albiñana, Vilhjalmsson, Mortensen, Musliner)
| | - Bjarni J Vilhjalmsson
- Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark (Hasseris, Østergaard, Musliner); Department of Clinical Medicine (Hasseris, Østergaard, Musliner), National Center for Register-Based Research (Albiñana, Vilhjalmsson, Mortensen, Musliner), ; Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH) (Albiñana, Vilhjalmsson, Mortensen, Musliner)
| | - Preben B Mortensen
- Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark (Hasseris, Østergaard, Musliner); Department of Clinical Medicine (Hasseris, Østergaard, Musliner), National Center for Register-Based Research (Albiñana, Vilhjalmsson, Mortensen, Musliner), ; Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH) (Albiñana, Vilhjalmsson, Mortensen, Musliner)
| | - Søren D Østergaard
- Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark (Hasseris, Østergaard, Musliner); Department of Clinical Medicine (Hasseris, Østergaard, Musliner), National Center for Register-Based Research (Albiñana, Vilhjalmsson, Mortensen, Musliner), ; Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH) (Albiñana, Vilhjalmsson, Mortensen, Musliner)
| | - Katherine L Musliner
- Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark (Hasseris, Østergaard, Musliner); Department of Clinical Medicine (Hasseris, Østergaard, Musliner), National Center for Register-Based Research (Albiñana, Vilhjalmsson, Mortensen, Musliner), ; Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH) (Albiñana, Vilhjalmsson, Mortensen, Musliner)
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18
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Nobile B, Belzeaux R, Aouizerate B, Dubertret C, Haffen E, Llorca PM, Roux P, Polosan M, Schwan R, Walter M, Rey R, Januel D, Leboyer M, Bellivier F, Etain B, Courtet P, Olié E. Clinical characteristics associated with discrepancies between self- and clinician-rated suicidal ideation in patients with bipolar disorder (FACE-BD cohort). Psychiatry Res 2023; 321:115055. [PMID: 36680982 DOI: 10.1016/j.psychres.2023.115055] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 12/27/2022] [Accepted: 01/07/2023] [Indexed: 01/11/2023]
Abstract
Suicidal ideation (SI) is a major suicide risk factor; therefore, it is crucial to identify individuals with SI. Discrepancies between the clinicians and patients' estimation of SI may lead to under-evaluating the suicide risk. Yet, studies on discrepancies between self- and clinician-rated SI are lacking, although identifying the patients' sociodemographic and clinical characteristics associated with such discrepancies might help to reduce the under-evaluation risk. Therefore, the aim of this study was to identify features associated with SI rating discrepancies in patients with bipolar disorder (BD) because of the high prevalence of suicide in this population. Among the patients recruited by the French network of FondaMental expert centers for BD, patients with SI (i.e. ≥2 for item 12 of the Quick Inventory of Depressive Symptomatology-Self Report and/or ≥3 for item 10 of the clinician-rated Montgomery and Åsberg Depression Rating Scale) were selected and divided in concordant (i.e. SI in both self- and clinician-rated questionnaires; n = 130; 25.6%), and discordant (i.e. SI in only one questionnaire; n = 377; 74.4%). Depression severity was the feature most associated with SI evaluation discrepancy, especially in patients with SI identified only with the self-rated questionnaire. Clinician may under-evaluate SI presence in patients with low depression level.
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Affiliation(s)
- Bénédicte Nobile
- Department of Emergency Psychiatry and Post-Acute Care, CHU Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France; FondaMental Foundation, Créteil F-94000, France.
| | - Raoul Belzeaux
- Department of Emergency Psychiatry and Post-Acute Care, CHU Montpellier, France; FondaMental Foundation, Créteil F-94000, France; Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, Marseille, France; INT-UMR7289, CNRS Aix-Marseille Université, Marseille, France
| | - Bruno Aouizerate
- FondaMental Foundation, Créteil F-94000, France; Centre Hospitalier Charles Perrens, Bordeaux, France; Laboratoire NutriNeuro (UMR INRA 1286), Université de Bordeaux, Bordeaux, France
| | - Caroline Dubertret
- FondaMental Foundation, Créteil F-94000, France; Université Paris Cité, Paris, France; AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU ESPRIT, Service de Psychiatrie et Addictologie, Hôpital Louis Mourier, Colombes, France; Université de Paris, Inserm UMR1266, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - Emmanuel Haffen
- FondaMental Foundation, Créteil F-94000, France; Service de Psychiatrie de l'Adulte, CIC-1431 INSERM, CHU de Besançon, Laboratoire de Neurosciences, UFC, UBFC, Besançon, France
| | - Pierre-Michel Llorca
- FondaMental Foundation, Créteil F-94000, France; CHU Clermont-Ferrand, Department of Psychiatry, University of Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, 63000 Clermont-Ferrand, France
| | - Paul Roux
- FondaMental Foundation, Créteil F-94000, France; Université Paris-Saclay, UVSQ, CESP UMR1018, DevPsy-DisAP, Centre Hospitalier de Versailles, Pôle de Psychiatrie et Santé Mentale, 78157 Le Chesnay, France
| | - Mircea Polosan
- FondaMental Foundation, Créteil F-94000, France; Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France
| | - Raymund Schwan
- FondaMental Foundation, Créteil F-94000, France; Université de Lorraine, Centre Psychothérapique de Nancy, Inserm U1254, Nancy, France
| | - Michel Walter
- FondaMental Foundation, Créteil F-94000, France; Service Hospitalo-Universitaire de Psychiatrie Générale et de Réhabilitation Psycho Sociale 29G01 et 29G02, CHRU de Brest, Hôpital de Bohars, Brest, France
| | - Romain Rey
- FondaMental Foundation, Créteil F-94000, France; INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Centre de Recherche en Neurosciences de Lyon, Equipe PSYR2, Centre Hospitalier Le Vinatier, Pole Est, 95 bd Pinel, BP 30039, 69678 Bron Cedex, France
| | - Dominique Januel
- FondaMental Foundation, Créteil F-94000, France; Unité de Recherche Clinique, EPS Ville-Evrard, 93332 Neuilly-sur-Marne, France
| | - Marion Leboyer
- FondaMental Foundation, Créteil F-94000, France; Univ Paris Est Créteil, INSERM U955, IMRB, Translational NeuroPsychiatry Laboratory, Créteil, France; AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France
| | - Frank Bellivier
- FondaMental Foundation, Créteil F-94000, France; Université Paris Cité, Paris, France; AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France; Université Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France
| | - Bruno Etain
- FondaMental Foundation, Créteil F-94000, France; Université Paris Cité, Paris, France; AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France; Université Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France
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- FondaMental Foundation, Créteil F-94000, France
| | - Philippe Courtet
- Department of Emergency Psychiatry and Post-Acute Care, CHU Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France; FondaMental Foundation, Créteil F-94000, France
| | - Emilie Olié
- Department of Emergency Psychiatry and Post-Acute Care, CHU Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France; FondaMental Foundation, Créteil F-94000, France
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19
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Fico G, Janiri D, Pinna M, Sagué-Vilavella M, Gimenez Palomo A, Oliva V, De Prisco M, Cortez PG, Anmella G, Gonda X, Sani G, Tondo L, Vieta E, Murru A. Affective temperaments mediate aggressive dimensions in bipolar disorders: A cluster analysis from a large, cross-sectional, international study. J Affect Disord 2023; 323:327-335. [PMID: 36470551 DOI: 10.1016/j.jad.2022.11.084] [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: 09/27/2022] [Revised: 11/22/2022] [Accepted: 11/25/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND Affective temperaments show potential for aggressive behavior (AB) preventive strategies in bipolar disorder (BD). We aim to define intra-diagnostic subgroups of patients with BD based on homogeneous behaviors related to AB. Subsequently, to assess whether affective temperament dimensions may contribute to the presence and severity of AB. METHODS Patients with BD were recruited. AB was evaluated through the modified overt aggression scale (MOAS); affective temperaments were assessed with the TEMPS-A. A cluster analysis was conducted based on TEMPS-A and MOAS scores. Stepwise backward logistic regression models were used to identify the predictive factors of cluster membership. RESULTS 799 patients with BD were enrolled. Three clusters were determined: non-aggressive (55.5 %), self-aggressive (18 %), and hetero-aggressive (26.5 %). Depressive, irritable, and anxious temperament scores significantly increased from the non-aggressive (lower) to the self-aggressive (intermediate) and the hetero-aggressive group (highest). A positive history of a suicide attempt (B = 5.131; OR = 169.2, 95 % CI 75.9; 377) and rapid cycling (B = -0.97; OR = 0.40, 95 % CI 0.17; 0.95) predicted self-aggressive cluster membership. Atypical antipsychotics (B = 1.19; OR = 3.28, 95 % CI 2.13; 5.06) or SNRI treatment (B = 1.09; OR = 3, 95 % CI 1.57; 5.71), psychotic symptoms (B = 0.73; OR = 2.09, 95 % CI 1.34; 3.26), and history of a suicide attempt (B = -1.56; OR = 0.20, 95 % CI 0.11; 0.38) predicted hetero-aggressive cluster membership. LIMITATIONS Recall bias might have affected the recollection of AB. CONCLUSIONS Clinical factors orientate the prevention of different ABs in BD. Affective temperaments might play a role in preventing AB since patients with more pronounced affective temperaments might have an increased risk of showing AB, in particular hetero-AB.
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Affiliation(s)
- Giovanna Fico
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Institute of Neurosciences (UBNeuro), p. de la Vall d'Hebron, 171, 08035 Barcelona, Spain
| | - Delfina Janiri
- Department of Neuroscience, Section of Psychiatry, Catholic University of the Sacred Hearth, Roma, Italy; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
| | - Marco Pinna
- Lucio Bini Mood Disorders Center, Cagliari, Italy; Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Italy
| | - Maria Sagué-Vilavella
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Institute of Neurosciences (UBNeuro), p. de la Vall d'Hebron, 171, 08035 Barcelona, Spain
| | - Anna Gimenez Palomo
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Institute of Neurosciences (UBNeuro), p. de la Vall d'Hebron, 171, 08035 Barcelona, Spain
| | - Vincenzo Oliva
- Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Michele De Prisco
- Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy
| | - Pablo Guzmán Cortez
- Institut Clínic de Neurociències, Psychiatry and Psychology Service, Grup Recerca Addiccions Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Gerard Anmella
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Institute of Neurosciences (UBNeuro), p. de la Vall d'Hebron, 171, 08035 Barcelona, Spain
| | - Xenia Gonda
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary; NAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary; International Centre for Education and Research in Neuropsychiatry, Samara State Medical University, Russia
| | - Gabriele Sani
- Department of Neuroscience, Section of Psychiatry, Catholic University of the Sacred Hearth, Roma, Italy; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
| | - Leonardo Tondo
- Lucio Bini Mood Disorders Center, Cagliari, Italy; Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Italy; McLean Hospital-Harvard Medical School, Boston, USA
| | - Eduard Vieta
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Institute of Neurosciences (UBNeuro), p. de la Vall d'Hebron, 171, 08035 Barcelona, Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Andrea Murru
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Institute of Neurosciences (UBNeuro), p. de la Vall d'Hebron, 171, 08035 Barcelona, Spain; CIBER de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
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20
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Benatti B, Girone N, Conti D, Cocchi M, Achilli F, Leo S, Putti G, Bosi M, Dell’Osso B. The Role of Lifestyle on Adherence to Treatment in a Sample of Patients with Unipolar and Bipolar Depression. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20031994. [PMID: 36767361 PMCID: PMC9915922 DOI: 10.3390/ijerph20031994] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 06/01/2023]
Abstract
Introduction: Poor adherence to treatment is currently stated to be one of the causes of depression relapse and recurrence. The aim of the present study is to assess potential differences in terms of clinical and lifestyle features related to adherence to treatment in a sample of patients with unipolar and bipolar depression. Methods: One hundred and eight patients with a diagnosis of unipolar or bipolar depressive episode were recruited from January 2021 to October 2022. Adherence to psychopharmacological treatment was assessed using the clinician rating scale. Descriptive and association analyses were performed to compare subgroups based on adherence to treatment. Results: Lower levels of adherence to treatment were associated with fewer years of education, work impairment, manic prevalent polarity lifetime, and greater comorbidity with alcohol and drug abuse. The majority of patients with positive adherence did not report any hospitalization and involuntary commitment lifetime. Conclusions: Patients with a positive treatment adherence showed significant differences in terms of lifestyle and clinical features compared to non-adherent patients. Our results may help to identify patients more likely to have poor medication adherence, which seem to lead to a worse disease course and quality of life.
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Affiliation(s)
- Beatrice Benatti
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
- “Aldo Ravelli” Center for Neurotechnology and Brain Therapeutic, University of Milan, 20122 Milan, Italy
| | - Nicolaja Girone
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Dario Conti
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Maddalena Cocchi
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Francesco Achilli
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Silvia Leo
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Gianmarco Putti
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Monica Bosi
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
| | - Bernardo Dell’Osso
- Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, University of Milan, 20122 Milan, Italy
- “Aldo Ravelli” Center for Neurotechnology and Brain Therapeutic, University of Milan, 20122 Milan, Italy
- Department of Psychiatry and Behavioral Sciences, Bipolar Disorders Clinic, Stanford University, Stanford, CA 94305, USA
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21
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Gunasekaran S, Teh WL, Liu J, Cetty L, Mok YM, Subramaniam M. The Relationship between Predominant Polarity, Lifetime Comorbid Anxiety Disorders and Subjective Quality of Life among Individuals with Bipolar Disorder in Singapore. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1155. [PMID: 36673910 PMCID: PMC9859592 DOI: 10.3390/ijerph20021155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/19/2022] [Accepted: 12/26/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Depressive features and comorbid anxiety disorders are two discrete but interconnected clinical features that have been reported to be associated with a poorer quality of life (QoL) among individuals with bipolar disorders. However, the relationship between manic features and quality of life is less conclusive. The present study aimed to assess differences in QoL among bipolar outpatients who present with either depressive predominant polarity (DPP), manic predominant polarity (MPP) and/or a lifetime diagnosis of comorbid anxiety disorders in Singapore. METHODS Data from 74 outpatients in Singapore diagnosed with bipolar disorder were collected. Sociodemographic information, the polarity of most episodes (2 out of 3), the diagnosis of anxiety disorders and QoL were obtained from a self-reported interview and/or through clinical records. QoL was measured using the abbreviated version of the World Health Organization questionnaire. We used multivariate regression models to determine the relationships between predominant polarity, lifetime comorbid anxiety disorders and QoL in physical health, psychological health, social relationships and environment domains. RESULTS After adjusting for covariates, individuals with DPP scored poorer for WHOQOL-BREF for all four domains as compared with individuals with indeterminate polarity. As compared to individuals with indeterminate polarity, individuals with MPP scored poorer for WHOQOL-BREF social relationships. Lastly, individuals with lifetime comorbid anxiety disorders scored poorer for WHOQOL-BREF physical health, social relationships and environment. DISCUSSION AND CONCLUSIONS The present study provides preliminary support for the relationship between DPP, lifetime comorbid anxiety disorders and poorer QoL, paving the pathway for future research with larger samples to utilise our study design to verify our results.
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Affiliation(s)
- Savita Gunasekaran
- Research Division, Institute of Mental Health, Singapore 539747, Singapore
| | - Wen Lin Teh
- Research Division, Institute of Mental Health, Singapore 539747, Singapore
| | - Jianlin Liu
- Research Division, Institute of Mental Health, Singapore 539747, Singapore
| | - Laxman Cetty
- Research Division, Institute of Mental Health, Singapore 539747, Singapore
| | - Yee Ming Mok
- Department of Mood & Anxiety, Institute of Mental Health, Singapore 539747, Singapore
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22
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Bartoli F, Bachi B, Calabrese A, Cioni RM, Guzzi P, Nasti C, Palpella D, Barbieri FF, Limonta S, Crocamo C, Carrà G. Effect of long-acting injectable antipsychotics on emergency department visits and hospital admissions in people with bipolar disorder: A retrospective mirror-image analysis from the Northern Milan Area Cohort (NOMIAC) study. J Affect Disord 2022; 318:88-93. [PMID: 36058358 DOI: 10.1016/j.jad.2022.08.096] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 07/24/2022] [Accepted: 08/26/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Mood recurrences in bipolar disorder (BD) are often associated with poor treatment adherence. Despite long-acting injectable antipsychotics (LAIs) may favor treatment compliance, their use in BD is still poorly explored. METHODS This mirror-image study investigated the effect of LAIs initiation on the number of emergency department (ED) visits and days of hospitalization, among individuals with BD from the mental health services of a large area of the Metropolitan City of Milan. The mirror periods were 365 days either side of the LAI initiation. Individual medical records were retrospectively reviewed. RESULTS Sixty-eight individuals with BD initiating a LAI over the index period were included. We estimated that LAI initiation overall reduced both ED visits (p = 0.002) and days of hospitalization (p < 0.001). This remained true only for those participants who i) continued LAI for the entire 12-month period of observation and ii) were treated with a second-generation antipsychotic LAI. In addition, LAI initiation reduced number of hospitalization days during hypo/manic (p = 0.013), but not depressive (p = 0.641) episodes, as well as compulsory admission days (p = 0.002). LIMITATIONS Due to the retrospective design, we could not collect systematic information on symptom severity and reasons of LAI discontinuation. Moreover, the limited sample size did not allow us to estimate effectiveness of single LAI agents. CONCLUSIONS Our study provides additional insight on the effectiveness of LAIs in BD, supporting their clinical utility for pragmatic outcomes such as ED visits and hospitalizations. Further longitudinal research is needed to clarify the real-world effectiveness of LAIs for BD clinical management.
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Affiliation(s)
- Francesco Bartoli
- Department of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy.
| | - Bianca Bachi
- Department of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy
| | - Angela Calabrese
- Department of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy
| | - Riccardo Matteo Cioni
- Department of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy
| | - Pierluca Guzzi
- Department of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy
| | - Christian Nasti
- Department of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy
| | - Dario Palpella
- Department of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy
| | - Filippo Fabio Barbieri
- Department of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy
| | - Serena Limonta
- Department of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy
| | - Cristina Crocamo
- Department of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy
| | - Giuseppe Carrà
- Department of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, 20900 Monza, Italy; Division of Psychiatry, University College London, Maple House 149, London W1T 7BN, UK
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23
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Törmälehto S, Svirskis T, Partonen T, Isometsä E, Pirkola S, Virtanen M, Sund R. Seasonal Effects on Hospitalizations Due to Mood and Psychotic Disorders: A Nationwide 31-Year Register Study. Clin Epidemiol 2022; 14:1177-1191. [PMID: 36304786 PMCID: PMC9595069 DOI: 10.2147/clep.s372341] [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: 04/26/2022] [Accepted: 09/30/2022] [Indexed: 11/24/2022] Open
Abstract
Purpose To examine seasonal patterns of hospital admissions due to mood and psychotic disorders and to investigate whether the admission rates show variation according to the seasonal daylength (photoperiods). Patients and Methods A retrospective nationwide register-based cohort of all psychiatric admissions (N=978,079) during 1987–2017 in Finland was utilized. The smoothed time-series of adjusted ratio of observed and expected (O/E) daily counts were estimated to examine seasonal variation. The mean O/E with 95% confidence intervals (CI) was used to study the admission rates by photoperiods. The calendar days were classified into the 71-day photoperiods based on the daylength (long/summer, short/winter, equal/spring, equal/fall) and the pace of change in daylength (slowly/rapidly increasing/decreasing daylength). Results Manic episodes peaked in summer during the long (mean O/E=1.10, 95% CI=1.06–1.13) and slowly decreasing (1.09, 1.06–1.13) photoperiods and had a nadir in winter during the slowly increasing (0.93, 0.89–0.98) photoperiod. Admissions for unipolar depressive (UPD) episodes peaked in autumn and in spring at the end of the rapidly decreasing (1.03, 1.02–1.04) and increasing (1.03, 1.01–1.04) photoperiod, and dropped in summer during the long and slowly decreasing (0.95, 0.94–0.96) photoperiods. Bipolar depressive (BPD) and mixed episodes signaled excess admissions in autumn and in spring. Admissions for schizophrenia were higher than expected from summer to early-autumn, during the long and slowly decreasing photoperiods (1.02, 1.02–1.03), and lower than expected in other seasons, especially in mid-spring during the rapidly increasing photoperiod (0.98, 0.98–0.99). Conclusion The study indicates the seasonality and photoperiodicity of mental disorders, especially for manic episodes. The seasonal pattern is similar between schizophrenia and manic episodes, and between UPD, BPD, and mixed episodes.
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Affiliation(s)
- Soili Törmälehto
- School of Educational Sciences and Psychology, University of Eastern Finland, Joensuu, Finland,Correspondence: Soili Törmälehto, School of Educational Sciences and Psychology C/O Institute of Clinical Medicine, University of Eastern Finland, P.O. Box 1627, Kuopio, FI-70211, Finland, Email
| | - Tanja Svirskis
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Timo Partonen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Erkki Isometsä
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sami Pirkola
- Faculty of Social Sciences, University of Tampere and Pirkanmaa Hospital District, Tampere, Finland
| | - Marianna Virtanen
- School of Educational Sciences and Psychology, University of Eastern Finland, Joensuu, Finland,Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Reijo Sund
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
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McIntyre RS, Alda M, Baldessarini RJ, Bauer M, Berk M, Correll CU, Fagiolini A, Fountoulakis K, Frye MA, Grunze H, Kessing LV, Miklowitz DJ, Parker G, Post RM, Swann AC, Suppes T, Vieta E, Young A, Maj M. The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management. World Psychiatry 2022; 21:364-387. [PMID: 36073706 PMCID: PMC9453915 DOI: 10.1002/wps.20997] [Citation(s) in RCA: 52] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal-ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical "multi-omic" measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point-of-care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features - especially during depressive episodes - and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally-oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point-of-care.
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Affiliation(s)
- Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Pharmacology, University of Toronto, Toronto, ON, Canada
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - Ross J Baldessarini
- Harvard Medical School, Boston, MA, USA
- International Consortium for Bipolar & Psychotic Disorders Research, McLean Hospital, Belmont, MA, USA
- Mailman Research Center, McLean Hospital, Belmont, MA, USA
| | - Michael Bauer
- University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Michael Berk
- IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, VIC, Australia
- Orygen, National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Christoph U Correll
- Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Kostas Fountoulakis
- 3rd Department of Psychiatry, Division of Neurosciences, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mark A Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Heinz Grunze
- Allgemeinpsychiatrie Ost, Klinikum am Weissenhof, Weinsberg, Germany
- Paracelsus Medical Private University Nuremberg, Nuremberg, Germany
| | - Lars V Kessing
- Copenhagen Affective Disorder Research Center, Psychiatric Center Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - David J Miklowitz
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles (UCLA) Semel Institute, Los Angeles, CA, USA
| | - Gordon Parker
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Robert M Post
- School of Medicine & Health Sciences, George Washington University, Washington, DC, USA
- Bipolar Collaborative Network, Bethesda, MD, USA
| | - Alan C Swann
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Trisha Suppes
- Department of Psychiatry and Behavioural Sciences, Stanford School of Medicine and VA Palo Alto Health Care -System, Palo Alto, CA, USA
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Allan Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Beckenham, UK
| | - Mario Maj
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
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Chakrabarti S, Singh N. Psychotic symptoms in bipolar disorder and their impact on the illness: A systematic review. World J Psychiatry 2022; 12:1204-1232. [PMID: 36186500 PMCID: PMC9521535 DOI: 10.5498/wjp.v12.i9.1204] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 05/02/2022] [Accepted: 08/26/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Lifetime psychotic symptoms are present in over half of the patients with bipolar disorder (BD) and can have an adverse effect on its course, outcome, and treatment. However, despite a considerable amount of research, the impact of psychotic symptoms on BD remains unclear, and there are very few systematic reviews on the subject.
AIM To examine the extent of psychotic symptoms in BD and their impact on several aspects of the illness.
METHODS The Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines were followed. An electronic literature search of six English-language databases and a manual search was undertaken to identify published articles on psychotic symptoms in BD from January 1940 to December 2021. Combinations of the relevant Medical Subject Headings terms were used to search for these studies. Articles were selected after a screening phase, followed by a review of the full texts of the articles. Assessment of the methodological quality of the studies and the risk of bias was conducted using standard tools.
RESULTS This systematic review included 339 studies of patients with BD. Lifetime psychosis was found in more than a half to two-thirds of the patients, while current psychosis was found in a little less than half of them. Delusions were more common than hallucinations in all phases of BD. About a third of the patients reported first-rank symptoms or mood-incongruent psychotic symptoms, particularly during manic episodes. Psychotic symptoms were more frequent in bipolar type I compared to bipolar type II disorder and in mania or mixed episodes compared to bipolar depression. Although psychotic symptoms were not more severe in BD, the severity of the illness in psychotic BD was consistently greater. Psychosis was usually associated with poor insight and a higher frequency of agitation, anxiety, and hostility but not with psychiatric comorbidity. Psychosis was consistently linked with increased rates and the duration of hospitalizations, switching among patients with depression, and poorer outcomes with mood-incongruent symptoms. In contrast, psychosis was less likely to be accompanied by a rapid-cycling course, longer illness duration, and heightened suicidal risk. There was no significant impact of psychosis on the other parameters of course and outcome.
CONCLUSION Though psychotic symptoms are very common in BD, they are not always associated with an adverse impact on BD and its course and outcome.
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Affiliation(s)
- Subho Chakrabarti
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, UT, India
| | - Navdeep Singh
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, UT, India
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Oliva V, De Prisco M, Pons-Cabrera MT, Guzmán P, Anmella G, Hidalgo-Mazzei D, Grande I, Fanelli G, Fabbri C, Serretti A, Fornaro M, Iasevoli F, de Bartolomeis A, Murru A, Vieta E, Fico G. Machine Learning Prediction of Comorbid Substance Use Disorders among People with Bipolar Disorder. J Clin Med 2022; 11:3935. [PMID: 35887699 PMCID: PMC9315469 DOI: 10.3390/jcm11143935] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/02/2022] [Accepted: 07/04/2022] [Indexed: 02/05/2023] Open
Abstract
Substance use disorder (SUD) is a common comorbidity in individuals with bipolar disorder (BD), and it is associated with a severe course of illness, making early identification of the risk factors for SUD in BD warranted. We aimed to identify, through machine-learning models, the factors associated with different types of SUD in BD. We recruited 508 individuals with BD from a specialized unit. Lifetime SUDs were defined according to the DSM criteria. Random forest (RF) models were trained to identify the presence of (i) any (SUD) in the total sample, (ii) alcohol use disorder (AUD) in the total sample, (iii) AUD co-occurrence with at least another SUD in the total sample (AUD+SUD), and (iv) any other SUD among BD patients with AUD. Relevant variables selected by the RFs were considered as independent variables in multiple logistic regressions to predict SUDs, adjusting for relevant covariates. AUD+SUD could be predicted in BD at an individual level with a sensitivity of 75% and a specificity of 75%. The presence of AUD+SUD was positively associated with having hypomania as the first affective episode (OR = 4.34 95% CI = 1.42-13.31), and the presence of hetero-aggressive behavior (OR = 3.15 95% CI = 1.48-6.74). Machine-learning models might be useful instruments to predict the risk of SUD in BD, but their efficacy is limited when considering socio-demographic or clinical factors alone.
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Affiliation(s)
- Vincenzo Oliva
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
| | - Michele De Prisco
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Maria Teresa Pons-Cabrera
- Addictions Unit, Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (M.T.P.-C.); (P.G.)
| | - Pablo Guzmán
- Addictions Unit, Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (M.T.P.-C.); (P.G.)
| | - Gerard Anmella
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Diego Hidalgo-Mazzei
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Iria Grande
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, 6525 GD Nijmegen, The Netherlands
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 9NU, UK
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40123 Bologna, Italy; (G.F.); (C.F.); (A.S.)
| | - Michele Fornaro
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Felice Iasevoli
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Andrea de Bartolomeis
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, 80131 Naples, Italy; (M.F.); (F.I.); (A.d.B.)
| | - Andrea Murru
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
| | - Giovanna Fico
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel St., 12-0, 08036 Barcelona, Catalonia, Spain; (V.O.); (M.D.P.); (G.A.); (D.H.-M.); (I.G.); (A.M.); (G.F.)
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Wenzel M, Althen H, Veeh J, Reif A. Euthymic patients with predominantly manic polarity avoid happy faces in a dot probe task. Int J Bipolar Disord 2022; 10:16. [PMID: 35739323 PMCID: PMC9226225 DOI: 10.1186/s40345-022-00262-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 05/31/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Some studies suggest a mood-congruent attentional bias in bipolar patients. However, for euthymic patients, especially in dependence on the predominant polarity, there is little and inconsistent data. A clearer understanding of emotion-related attentional biases and their relationship to dysfunctional emotion regulation could help improving the diagnostics and treatment of bipolar disorder (BD). Twenty bipolar patients in a depressive state (BP-acute-D), 32 euthymic patients with manic (BP-euth-M) or depressive (BP-euth-D) predominant polarity, and 20 healthy control participants (HC) performed a dot-probe task (DPT) with happy and sad faces presented for 250 ms or 1250 ms in two different runs. Emotion regulation strategies were assessed with two questionnaires. RESULTS In the short presentation condition of the DPT, BP-euth-M showed less attention for happy faces than HC (p = .03, r = - 0.48). BP-acute-D scored lower in cognitive reappraisal and putting into perspective and higher in suppression, catastrophizing, and rumination than HC. BP-euth-M scored higher in rumination and BP-euth-D lower in putting into perspective and higher in catastrophizing than HC. In BP-euth-D and HC, bias scores for sad faces in the longer presentation condition and reappraisal scores correlated positively. CONCLUSIONS Results of the DPT suggest an avoidance of happy faces for BP-euth-M which we interpret as a protection mechanism for triggers of mania. That individuals who apply more reappraisal show more selective attention to sad faces could on the one hand reflect a mental effort in reevaluating the sad emotional input and on the other hand a greater tolerance for it.
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Affiliation(s)
- Martina Wenzel
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany.
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital, University of Würzburg, Würzburg, Germany.
- Department of Neurology, Technical University of Munich (TU), Munich, Germany.
| | - Heike Althen
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Julia Veeh
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital, University of Würzburg, Würzburg, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital, University of Würzburg, Würzburg, Germany
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Existing and emerging pharmacological approaches to the treatment of mania: A critical overview. Transl Psychiatry 2022; 12:169. [PMID: 35461339 PMCID: PMC9035148 DOI: 10.1038/s41398-022-01928-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 01/19/2022] [Accepted: 01/25/2022] [Indexed: 12/12/2022] Open
Abstract
Manic episodes are a defining, frequent and dramatically disabling occurrence in the course of Bipolar Disorder type I. Current pharmacotherapy of mania lists a good number of agents, but differences in efficacy and safety profiles among these agents must be considered in order to tailor personalized therapies, especially when the long-term course of the illness is considered. There is wide room and need to ameliorate current pharmacological approaches to mania, but ongoing pharmacological research on the topic is scant. In this work we try to critically assess clinical factors and patients' characteristics that may influence the treatment choice for manic episodes. In addition, we conduct a narrative review on experimental pharmacology of bipolar mania and psychotic disorders, presenting a critical overview on agents which could represent treatment alternatives for a manic episode in the next future. Results show limited novel or ongoing research on agents acting as mood stabilizers (Ebselen, Valnoctamide and Eslicarbazepine did not reach statistical significance in demonstrating antimanic efficacy). As for the emerging experimental antipsychotic, some of them (including KarXT, SEP-363856, RO6889450, ALKS3831) have demonstrated good antipsychotic efficacy and a favorable safety profile, but little is known about their use in patients with bipolar disorder and specifically designed trials are needed. Lastly, some benefits for the treatment of mania could be expected to come in the next future from non-mood stabilizers/non-antipsychotic agents (especially PKC inhibitors like Endoxifen): long-term trials are needed to confirm positive results in terms of long-term efficacy and safety.
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Fico G, Anmella G, Sagué-Villavella M, Gomez-Ramiro M, Hidalgo-Mazzei D, Vieta E, Murru A. Undetermined predominant polarity in a cohort of bipolar disorder patients: Prevalent, severe, and overlooked. J Affect Disord 2022; 303:223-229. [PMID: 35181382 DOI: 10.1016/j.jad.2022.02.042] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/13/2022] [Accepted: 02/14/2022] [Indexed: 10/19/2022]
Abstract
OBJECTIVES Predominant polarity (PP) is a concept used to define patients with bipolar disorder (BD) as presenting a tendency to manifest depressive (DPP) or manic (MPP) episodes. Still, the high percentage of patients with an undetermined PP (UPP), has been overlooked in most studies. Thus, we aimed to study UPP and outline its socio-demographic, clinical, and treatment-related features. METHODS Patients were recruited from a BD specialized unit. The sample was divided into three groups according to PP and socio-demographic and clinical variables were compared. Significant variables at univariate comparisons were included in multivariate logistic regression with UPP as the dependent variable. RESULTS A total of 708 BD patients were included, of which 437 with UPP (61.7%). UPP was associated with a higher number of affective relapses, when compared with DPP or MPP (χ2= 28.704, p<0.001). Mixed episodes (OR=1.398; CI=1.118-1.749), aggressive behaviour (OR=1.861; CI=1.190-2.913), seasonality (OR=2.025; CI= 1.289-3.501) and treatment with lamotrigine (OR= 2.101; CI=1.244-3.550) were significantly associated with UPP at the logistic regression. LIMITATIONS Recall bias may have occurred due to mixed episode diagnostic criteria change over the years. No data on the patients' follow-up has been reported on predominant polarity changes. CONCLUSIONS UPP is associated with a higher number of relapses, and different clinical variables related to a severe course of illness. Considering PP in patients with BD may guide the choice for differential treatment approaches having an impact on BD course of illness and patients' prognosis and recovery.
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Affiliation(s)
- Giovanna Fico
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036, Barcelona, Catalonia, Spain
| | - Gerard Anmella
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036, Barcelona, Catalonia, Spain
| | - Maria Sagué-Villavella
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036, Barcelona, Catalonia, Spain
| | - Marta Gomez-Ramiro
- Barcelona Clínic Schizophrenia Unit, Institute of Neuroscience, Hospital Clínic of Barcelona, University of Barcelona, IDIBAPS, Barcelona, Catalonia, Spain
| | - Diego Hidalgo-Mazzei
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036, Barcelona, Catalonia, Spain.
| | - Andrea Murru
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036, Barcelona, Catalonia, Spain
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30
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Ruiz GC, Ospina JPZ, Vargas C, Acevedo DCA, López-Jaramillo C. Structural neuroimaging and predominant polarity in patients with type 1 bipolar disorder from Antioquia. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2022; 51:123-132. [PMID: 35753978 DOI: 10.1016/j.rcpeng.2020.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/05/2020] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Predominant polarity (PP) has been proposed as a specifier of bipolar disorder (BD) due to its relationship with clinical and prognostic variables. It is possible that this is due to a different underlying neurobiology, in such a way that the changes found by structural nuclear magnetic resonance imaging (sMRI) in BD are different and specific. OBJECTIVES To explore findings of structural neuroimaging in patients with BD type I (BD-I) according to PP. METHODS Cross-sectional study that evaluated 77 patients with BD-I using the DIGS interview. PP was established using the operative definition of two-thirds of all affective episodes throughout life to classify PP as manic (MPP), depressive (DPP) or indeterminate (IPP). MRI was performed during the euthymia phase to measure intracranial structures. The data obtained was analysed using a linear regression model adjusted for confounding variables (drug use, alcohol use, psychoactive substance use) and were compared between the three groups finding the standardised mean difference (SMD). RESULTS Differences with adequate effect size were found in three brain structures after adjusting for confounding variables, specifically in the right fusiform gyrus and the left lingual gyrus, which were greater in the DPP group than in the MPP group (SMD = 0.92; 95% CI = 0.34-1.49 and SMD = 0.78; 95% CI = 0.21-1.35). Likewise, in the right thalamus, it was shown to be greater in the IPP group compared to MPP group (SMD 0.89, 95% CI = 0.31-1.46). CONCLUSIONS A reduction in the thickness of the right fusiform gyrus and the left lingual gyrus, as well as the right thalamic volume was observed in patients with BD-I with PPM, which supports the hypothesis that PP has a plausible neurobiological correlate and could have potential utility as a BD specifier.
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Affiliation(s)
| | - Juan Pablo Zapata Ospina
- Instituto de Investigaciones Médicas, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Cristian Vargas
- Grupo de Investigación en Psiquiatría GIPSI, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | | | - Carlos López-Jaramillo
- Grupo de Investigación en Psiquiatría GIPSI, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
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Menculini G, Steardo L, Verdolini N, Cirimbilli F, Moretti P, Tortorella A. Substance use disorders in bipolar disorders: Clinical correlates and treatment response to mood stabilizers. J Affect Disord 2022; 300:326-333. [PMID: 34990627 DOI: 10.1016/j.jad.2022.01.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 11/06/2021] [Accepted: 01/01/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND Substance use disorders (SUD) in bipolar disorders (BD) present relevant impact on psychopathological features and illness course. The present study was aimed at analyzing the clinical correlates of this comorbidity. METHODS In- and outpatients suffering from BD were recruited. Socio-demographic and clinical characteristics were collected. Subjects underwent a psychopathological assessment evaluating affective temperaments and impulsiveness. The appraisal of treatment response to mood stabilizers was conducted with the Alda Scale. Bivariate analyses were used to compare subjects suffering from BD with (SUD-BD) or without comorbid SUD (nSUD-BD) (p<0.05). A logistic regression model was performed to identify specific correlates of SUD in BD. RESULTS Among the 161 included subjects, 63 (39.1%) were diagnosed with comorbid SUD. SUD-BD subjects showed younger age at onset (p = 0.003) and higher prevalence of BD type I diagnosis (BDI) (p<0.001). Furthermore, lifetime mixed features (p<0.001), psychotic symptoms (p<0.001), suicide attempts (p = 0.002), aggression (p = 0.003), antidepressant-induced manic switch (p = 0.003), and poor treatment response (p<0.001) were more frequent in the SUD-BD subgroup. At the logistic regression, SUD revealed a positive association with BD type I diagnosis (Odds Ratio (OR) 4.77, 95% CI 1.66-13.71, p = 0.004) and mixed features (OR 2.54, 95% CI 1.17-5.53, p = 0.019). LIMITATIONS The cross-sectional study design and the relatively small sample size may limit the generalizability of the findings. The retrospective evaluation of comorbid SUD could have biased the outcome assessment. CONCLUSIONS Subjects with BD and SUD are characterized by higher clinical severity and require careful assessment of treatment response.
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Affiliation(s)
| | - Luca Steardo
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Norma Verdolini
- Department of Psychiatry, University of Perugia, Perugia, Italy; Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
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Inal N, Ermis C, Koc D, Aksoy S, Karacetin G, Tuncturk M, Eray S, Karabina B, Faruk Akca O, Ozgul D, Gunay Kilic B, Cikili Uytun M, Besenek M, Kavurma C, Bilac O, Gokcen C, Topal Z, Percinel Yazıcı I, Sapmaz SY, Ozyurt G, Diler RS. Index depressive episode and antidepressant exposure were associated with illness characteristics of pediatric bipolar disorder. Acta Psychiatr Scand 2022; 145:200-208. [PMID: 34076890 DOI: 10.1111/acps.13333] [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: 03/08/2021] [Revised: 04/28/2021] [Accepted: 05/31/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Pediatric bipolar disorder (PBD) is a serious, recurrent disorder leading to severe functional impairment. As a first mood episode, index episode could affect the long-term course of the illness. This study aimed to investigate the clinical characteristics of youth with PBD from our multicenter, nationwide, naturalistic follow-up samples and to identify (i) the effects of index mood episode and (ii) the effect of previous antidepressant treatments on the age at mania onset of PBD. METHOD The study sample consisted of 271 youth with BD-I followed by the child and adolescent psychiatry clinics of seven different university hospitals and three research state hospitals, representing six geographic regions across Turkey. All diagnoses were made according to structured interviews, and all data were retrospectively obtained from clinical records by the clinicians. RESULTS When patients with index depressive/mixed episodes (IDE, n=129) and patients with index (hypo)manic episodes (IME, n=142) were compared, the total number of mood episodes and rapid cycling feature were significantly higher in the IDE group than in the IME group. The Cox regression analysis adjusted for sociodemographic and illness characteristics revealed female adolescents in the IDE group treated with antidepressants were more likely to have an earlier onset of mania (hazard ratio=2.03, 95% confidence interval=1.31-3.12, p=0.001). CONCLUSION This is the first large-scale nationwide follow-up study in Turkey that indicated prior antidepressant treatments were associated with an earlier onset of mania in youth, particularly in adolescent females. Larger prospective studies are needed to identify neurodevelopmental processes underlying PBD and initiate prevention approaches.
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Affiliation(s)
- Neslihan Inal
- Department of Child and Adolescent Psychiatry, Medical Faculty, Dokuz Eylul University, Izmir, Turkey
| | - Cagatay Ermis
- Department of Child and Adolescent Psychiatry, Medical Faculty, Dokuz Eylul University, Izmir, Turkey
| | - Dogukan Koc
- Department of Child and Adolescent Psychiatry, Medical Faculty, Dokuz Eylul University, Izmir, Turkey
| | - Sena Aksoy
- Department of Child and Adolescent Psychiatry, Kastamonu Training and Research Hospital, Kastamonu, Turkey
| | - Gul Karacetin
- Department of Child and Adolescent Psychiatry, University of Health Sciences, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
| | - Mustafa Tuncturk
- Department of Child and Adolescent Psychiatry, University of Health Sciences, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
| | - Safak Eray
- Department of Child and Adolescent Psychiatry, Medical Faculty, Bursa Uludag University, Bursa, Turkey
| | - Berna Karabina
- Department of Child and Adolescent Psychiatry, Medical Faculty, Bursa Uludag University, Bursa, Turkey
| | - Omer Faruk Akca
- Department of Child and Adolescent Psychiatry, Medical Faculty, Necmettin Erbakan University, Konya, Turkey
| | - Dilek Ozgul
- Department of Child and Adolescent Psychiatry, Medical Faculty, Necmettin Erbakan University, Konya, Turkey
| | - Birim Gunay Kilic
- Department of Child and Adolescent Psychiatry, Medical Faculty, Ankara University, Ankara, Turkey
| | - Merve Cikili Uytun
- Department of Child and Adolescent Psychiatry, Medical Faculty, Ankara University, Ankara, Turkey
| | - Mert Besenek
- Department of Child and Adolescent Psychiatry, Recep Tayyip Erdogan University, Rize Training and Research Hospital, Rize, Turkey
| | - Canem Kavurma
- Department of Child and Adolescent Psychiatry, Manisa Mental Health Hospital, Manisa, Turkey
| | - Oznur Bilac
- Department of Child and Adolescent Psychiatry, Manisa Mental Health Hospital, Manisa, Turkey
| | - Cem Gokcen
- Department of Child and Adolescent Psychiatry, Medical Faculty, Gaziantep University, Gaziantep, Turkey
| | - Zehra Topal
- Department of Child and Adolescent Psychiatry, Medical Faculty, Gaziantep University, Gaziantep, Turkey
| | - Ipek Percinel Yazıcı
- Department of Child and Adolescent Psychiatry, Medical Faculty, Firat University, Elazig, Turkey
| | - Sermin Yalin Sapmaz
- Department of Child and Adolescent Psychiatry, Medical Faculty, Manisa Celal Bayar University Faculty of Medicine, Manisa, Turkey
| | - Gonca Ozyurt
- Department of Child and Adolescent Psychiatry, Medical Faculty, Izmir Katip Celebi University, İzmir, Turkey
| | - Rasim Somer Diler
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Miskowiak KW, Mariegaard J, Jahn FS, Kjærstad HL. Associations between cognition and subsequent mood episodes in patients with bipolar disorder and their unaffected relatives: A systematic review. J Affect Disord 2022; 297:176-188. [PMID: 34699850 DOI: 10.1016/j.jad.2021.10.044] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/13/2021] [Accepted: 10/20/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is highly recurrent and prevention of relapse and illness onset is an urgent treatment priority. This systematic review examined whether cognitive assessments can aid prediction of recurrence in patients with BD and/or illness onset in individuals at familial risk. METHODS The review included longitudinal studies of patients with BD or individuals at familial risk of mood disorder that examined the association between cognitive functions and subsequent relapse or illness onset, respectively. We followed the procedures of the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) 2020 statement. Searches were conducted on PubMed/MEDLINE, EMBASE and PsychInfo databases from inception up until May 10th 2021. RESULTS We identified 19 eligible studies; 12 studies investigated cognitive predictors of recurrence in BD (N = 36-76) and seven investigated cognitive predictors of illness onset in at-risk individuals (N = 84-234). In BD, general cognitive impairment, poorer verbal memory and executive function and positive bias were associated with subsequent (hypo)manic relapse -but with not depressive relapse or mood episodes in general. In first-degree relatives, impairments in attention, verbal memory and executive functions and positive bias were associated with subsequent illness onset. LIMITATIONS The findings should be considered preliminary given the small-to-moderate sample sizes and scarcity of studies. CONCLUSIONS Subject to replication, the associations between cognitive impairment and (hypo)mania relapse and illness onset may provide a platform for personalised treatment and prophylactic strategies.
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Affiliation(s)
- Kamilla Woznica Miskowiak
- Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University hospital, Rigshospitalet, Denmark; Department of Psychology, University of Copenhagen, Copenhagen, Denmark.
| | - Johanna Mariegaard
- Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University hospital, Rigshospitalet, Denmark; Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Frida Simon Jahn
- Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University hospital, Rigshospitalet, Denmark; Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Hanne Lie Kjærstad
- Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University hospital, Rigshospitalet, Denmark
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Menculini G, Steardo L, Sciarma T, D'Angelo M, Lanza L, Cinesi G, Cirimbilli F, Moretti P, Verdolini N, De Fazio P, Tortorella A. Sex Differences in Bipolar Disorders: Impact on Psychopathological Features and Treatment Response. Front Psychiatry 2022; 13:926594. [PMID: 35757228 PMCID: PMC9226371 DOI: 10.3389/fpsyt.2022.926594] [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] [Received: 04/22/2022] [Accepted: 05/18/2022] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Sex differences were demonstrated in bipolar disorders (BD) concerning epidemiological, clinical, and psychopathological characteristics, but consensus is lacking. Moreover, data concerning the influence of sex on treatment response in BD is contrasting. The present cross-sectional study aimed to analyze sex differences in a population of BD subjects, with specific focus on psychopathological features and treatment response. MATERIALS AND METHODS Subjects diagnosed with BD according to the Diagnostic and Statistical Manual of Mental Disorders, 5th version (DSM-5) were recruited. Socio-demographic and clinical characteristics were collected. The Hamilton Rating Scale for Depression, the Mania Rating Scale (MRS), the brief version of the Temperament Evaluation of Memphis, Pisa and San Diego-Münster version (briefTEMPS-M), and the Barratt Impulsiveness Scale-11 items (BIS-11) were used for psychopathological assessment. Treatment response was appraised with the Alda Scale. We performed bivariate analyses to compare socio-demographic, clinical, and psychopathological characteristics between men and women (p < 0.05). A logistic regression was run to analyze features that were significantly associated with female sex. RESULTS Among the recruited 219 BD subjects, 119 (54.3%) were females. Women had a lower scholarity (p = 0.015) and were less frequently employed (p = 0.001). As for psychopathological features, a higher MRS total score (p < 0.001) was detected among women, as well as higher BIS-11 total score (p = 0.040), and briefTEMPS-M score for anxious temperament (p = 0.006). Men showed higher prevalence of DSM-5 mixed features (p = 0.025), particularly during a depressive episode (p = 0.014). Women reported longer duration of untreated illness (DUI) (p < 0.001). There were no sex differences in the Alda Scale total score when considering the whole sample, but this was significantly higher among men (p = 0.030) when evaluating subjects treated with anticonvulsants. At the logistic regression, female sex was positively associated with longer DUI (p < 0.001; OR 1.106, 95% CI 1.050-1.165) and higher MRS total score (p < 0.001; OR 1.085, 95% CI 1.044-1.128) and negatively associated with employment (p = 0.003; OR 0.359, 95% CI 0.185-0.698) and DSM-5 mixed features (p = 0.006; OR 0.391, 95% CI 0.200-0.762). CONCLUSIONS The clinical presentation of BD may differ depending on sex. The severity of BD should not be neglected among women, who may also display worse treatment response to anticonvulsants.
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Affiliation(s)
- Giulia Menculini
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Luca Steardo
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Tiziana Sciarma
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Martina D'Angelo
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Laura Lanza
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Gianmarco Cinesi
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Federica Cirimbilli
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Patrizia Moretti
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Norma Verdolini
- Local Health Unit Umbria 1, Department of Mental Health, Mental Health Center of Perugia, Perugia, Italy
| | - Pasquale De Fazio
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Alfonso Tortorella
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
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Keramatian K, Pinto JV, Schaffer A, Sharma V, Beaulieu S, Parikh SV, Yatham LN. Clinical and demographic factors associated with delayed diagnosis of bipolar disorder: Data from Health Outcomes and Patient Evaluations in Bipolar Disorder (HOPE-BD) study. J Affect Disord 2022; 296:506-513. [PMID: 34606817 DOI: 10.1016/j.jad.2021.09.094] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/31/2021] [Accepted: 09/26/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND The diagnosis of Bipolar Disorder (BD) is frequently delayed. In this study, we aimed to examine the clinical and demographic factors associated with delayed diagnosis of BD, defined as the difference between the age at first mood episode (depressive, manic, or hypomanic) and the age at the correct diagnosis of BD, using data from a Canadian multicentre naturalistic study. METHODS The sample included 192 patients with Bipolar I Disorder (BD-I) and 127 with Bipolar II Disorder (BP-II) who participated in the Health Outcomes and Patient Evaluations in Bipolar Disorder (HOPE-BD) study. Sociodemographic characteristics and clinical features that had been previously associated with delayed diagnosis of BD were included in the analysis. RESULTS The median delay in diagnosis was 5.0 years in BD-I and 11.0 years in BD-II. Clinical factors such as earlier age of onset, lifetime suicide attempts and comorbid anxiety disorders were associated with a longer delay, whereas the presence of lifetime psychotic symptoms and psychiatric hospitalizations were associated with a shorter delay. Quantile regression analysis showed older age at which professional help was first sought and younger age of onset as predictors of increased delay in diagnosis of BD-I and BD-II. Depression as first episode predicted longer delay in diagnosis of BD-I but not BD-II. CONCLUSION Our findings identified the ongoing lag in identification of a BD diagnosis and the clinical markers most associated with this delay, highlighting the need for implementation of strategies for early identification and interventions in BD.
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Affiliation(s)
- Kamyar Keramatian
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Jairo V Pinto
- University Hospital, Federal University of Santa Catarina, Florianópolis, SC, Brazil
| | - Ayal Schaffer
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Verinder Sharma
- Department of Psychiatry, University of Western Ontario, London, ON, Canada
| | - Serge Beaulieu
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Sagar V Parikh
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
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Carta MG, Kalcev G, Fornaro M, Nardi AE. Novel experimental and early investigational drugs for the treatment of bipolar disorder. Expert Opin Investig Drugs 2021; 30:1081-1087. [PMID: 34844484 DOI: 10.1080/13543784.2021.2000965] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
INTRODUCTION The quest toward more effective treatments for bipolar disorder (BD) solicits novel drugs and further research on the underpinning neurobiology. The present review aims to critically appraise the existing evidence about the pharmacological treatment of BD toward the development of novel treatment avenues. AREAS COVERED The present review appraises animal and human studies concerning both the currently available psychotropic drugs, and the general medicine drugs which may represent a path toward the development of novel drugs for BD. PubMed and Scopus were last accessed on February 20th, 2021 for records indexed upon inception relevant to the pharmacological treatment of BD. Immune-modulating agents, anti-inflammatory agents, and glutamate antagonists represent the most intriguing potential targets for the development of new drugs for BD, thus receiving critical appraisal in the present text. EXPERT OPINION Regardless of the neurobiological pathways worthy of investigation toward the development of experimental drugs for BD, several unmet needs need to be addressed first. In particular, several biomarkers are altered in BD. However, it is the opinion herein expressed by the authors that it remains uncertain what comes first, that is peripheral changes or the disease.
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Affiliation(s)
- Mauro Giovanni Carta
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari Italy
| | - Goce Kalcev
- Department of Mechanical, Chemical and Materials Engineering, International Ph.D. In Innovation Sciences and Technologies, University of Cagliari, Cagliari Italy
| | - Michele Fornaro
- Department of Psychiatry, University of Federico II of Naples, Italy
| | - Antonio Egidio Nardi
- Laboratory Panic and Respiration, Institute of Psychiatry (Ipub), Federal University of Rio De Janeiro (Ufrj), Rio De Janeiro, Brazil
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Yoldi-Negrete M, Fresán-Orellana A, Jiménez-Tirado M, Martínez-Camarillo S, Palacios-Cruz L, Vieta E, Ortega-Ortiz H, Becerra-Palars C, Gutiérrez-Mora D, Camarena Medellín B. Ten-year course of treated bipolar I disorder: The role of polarity at onset. Brain Behav 2021; 11:e2279. [PMID: 34626089 PMCID: PMC8613434 DOI: 10.1002/brb3.2279] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/15/2021] [Accepted: 06/27/2021] [Indexed: 01/12/2023] Open
Abstract
INTRODUCTION Early-stage predictors of illness course are needed in bipolar disorder (BD). Differences among patients with a first depressive versus maniac/hypomanic episode have been stated, although in most studies, memory bias and time from onset to start of specialized treatment might interfere. The aim was to compare the first 10 years of illness course according to polarity at onset. METHODS 49 type I BD patients admitted for treatment for a first-time affective episode and a following 10-year attendance to the institution were included. A retrospective year by year comparison according to polarity at onset (depressive (DPO) or maniac (MPO)) was performed. Cramer's V and Cohen d were computed to determine effect size. RESULTS 59.2% (n = 29) started with MPO. Both groups were similar in demographic and social outcome characteristics, clinical features, and treatment variables. Patients with DPO reported more depressive episodes than MPO patients (U = 149.0 p < .001, Cohen's d = 0.87); both groups had a similar number of manic episodes. Only during the first year of follow-up, suicide attempts (SA) were more frequent in patients with DPO while the presence of a psychotic episode and psychiatric hospitalizations were more frequent in the MPO group. CONCLUSION According to these findings, it can be concluded that illness onset is only indicative of depressive predominant polarity but is not related to other poor prognostic variables after the first year of illness onset, in treated BD. SA in the first year of an affective disorder could represent a marker of BD.
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Affiliation(s)
- María Yoldi-Negrete
- Laboratorio de Epidemiología Clínica, Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | - Ana Fresán-Orellana
- Laboratorio de Epidemiología Clínica, Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | | | | | - Lino Palacios-Cruz
- Laboratorio de Epidemiología Clínica, Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | - Eduard Vieta
- Hospital Clínic, Insitute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Catalonia, Barcelona, Spain
| | - Hiram Ortega-Ortiz
- Dirección de Servicios Clínicos, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | - Claudia Becerra-Palars
- Dirección de Servicios Clínicos, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | - Doris Gutiérrez-Mora
- Dirección de Servicios Clínicos, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
| | - Beatriz Camarena Medellín
- Departamento de Farmacogenética, Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Ciudad de México, México
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Grover S, Avasthi A, Chakravarty R, Dan A, Chakraborty K, Neogi R, Desouza A, Nayak O, Praharaj S, Menon V, Bathla M, Subramanyam AA, Nebhinani N, Ghosh P, Lakdawala B, Bhattacharya R. Predominant polarity in bipolar disorder: Findings from the bipolar disorder course and outcome study from India (BiD-CoIN study). Compr Psychiatry 2021; 109:152249. [PMID: 34298288 DOI: 10.1016/j.comppsych.2021.152249] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 04/25/2021] [Accepted: 05/01/2021] [Indexed: 11/18/2022] Open
Abstract
AIM This cross-sectional study aimed to assess the predominant polarity (PP) in patients with bipolar disorder (BD) and the factors associated with PP. METHODOLOGY For this study, 773 participants with at least 10 years of illness, were recruited from 14 centres, were evaluated using the National Institute of Mental Health- Retrospective Life Charts to assess the course of illness and PP was determined by both Barcelona proposal and the Harvard Index. RESULTS According to Barcelona proposal for PP, 20.6% of the patients belonged to depressive PP, 45.8% belonged to manic PP and 33.6% belonged to indeterminate polarity. According to Harvard index of PP, 31.6% of the patients belonged to depressive PP, 56.1% belonged to manic polarity and 12.3% of the patients could not be categorized into any of these categories and hence, were considered to have indeterminate polarity. Those with depressive PP were more often having BD-II, had later age of onset, spent more time in episodes, had higher residual depressive symptoms, had lower residual manic symptoms, more often had depression as the first lifetime episode, and less often had at least one psychotic episode. CONCLUSION In the Indian subcontinent, although the prevalence of PP is influenced by the definition used, the most common PP is that of mania.
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Affiliation(s)
- Sandeep Grover
- Post Graduate Institute of Medical Education & Research, Chandigarh, India.
| | - Ajit Avasthi
- Post Graduate Institute of Medical Education & Research, Chandigarh, India
| | - Rahul Chakravarty
- Post Graduate Institute of Medical Education & Research, Chandigarh, India
| | - Amitava Dan
- Burdwan Medical College & Hospital, Burdwan, India
| | | | | | - Avinash Desouza
- Lokmanya Tilak Municipal General Hospital (SION Hospital), Mumbai, India
| | - Omkar Nayak
- Lokmanya Tilak Municipal General Hospital (SION Hospital), Mumbai, India
| | - Samir Praharaj
- Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Vikas Menon
- Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Manish Bathla
- Maharishi Markandeshwar Institute of Medical Sciences & Research, Mullana, Ambala, India
| | | | | | | | - Bhavesh Lakdawala
- Ahmedabad Municipal Corporation Medical Education Trust Medical College, Ahmedabad, India
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Grover S, Avasthi A, Chakravarty R, Dan A, Chakraborty K, Neogi R, Desouza A, Nayak O, Praharaj SK, Menon V, Deep R, Bathla M, Subramanyam AA, Nebhinani N, Ghosh P, Lakdawala B, Bhattacharya R, Ghosh P. Residual symptoms in bipolar disorders: Findings from the bipolar Disorder course and outcome study from India (BiD-CoIN study). Psychiatry Res 2021; 302:113995. [PMID: 34157607 DOI: 10.1016/j.psychres.2021.113995] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 05/08/2021] [Indexed: 11/17/2022]
Abstract
AIM To explore the prevalence of residual symptoms (both depressive and manic) and their correlates in subjects with bipolar disorder in clinical remission. METHODOLOGY This multicentric cross-sectional study included patients in clinical remission recruited across the 14 centers. The patients were evaluated on the Hamilton Depression Rating Scale (HDRS) and Young Mania Rating Scale (YMRS) for the prevalence of residual symptoms. A score of ≤7 on both scales defined the presence of residual symptoms. RESULTS Four-fifth (79.8%) of the participants had residual symptoms, with 130 (16.8%) having only residual depressive symptoms, 74 (9.6%) having only residual manic symptoms, and 413 (53.4%) having both depressive and manic residual symptoms, on HDRS and YMRS. The residual symptoms were related to the polarity of the most recent episode and the lifetime predominant polarity. Higher numbers of lifetime depressive episodes are associated with higher residual depressive symptoms, and higher numbers of lifetime manic episodes are associated with higher chances of having residual manic symptoms. CONCLUSIONS A large proportion of patients with bipolar disorder have residual symptoms during the remission phase. Clinicians need to make efforts to identify and address the same to improve the treatment outcome.
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Affiliation(s)
- Sandeep Grover
- Post Graduate Institute of Medical Education & Research, Chandigarh.
| | - Ajit Avasthi
- Post Graduate Institute of Medical Education & Research, Chandigarh
| | | | | | | | | | - Avinash Desouza
- Lokmanya Tilak Municipal General Hospital (SION Hospital), Mumbai
| | - Omkar Nayak
- Lokmanya Tilak Municipal General Hospital (SION Hospital), Mumbai
| | | | - Vikas Menon
- Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry
| | - Raman Deep
- All India Institute of Medical Sciences, New Delhi
| | - Manish Bathla
- Maharishi Markandeshwar Institute of Medical Sciences & Research, Mullana, Ambala
| | | | | | | | - Bhavesh Lakdawala
- Ahmedabad Municipal Corporation Medical Education Trust Medical College, Ahmedabad
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40
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Kamali M, Pegg S, Janos JA, Bobo WV, Brody B, Gao K, Ketter TA, McElroy SL, McInnis MG, Rabideau DJ, Reilly-Harrington NA, Shelton RC, Sylvia LG, Tohen M, Nierenberg A. Illness stage and predominant polarity in bipolar disorder: Correlation with burden of illness and moderation of treatment outcome. J Psychiatr Res 2021; 140:205-213. [PMID: 34118638 PMCID: PMC8319086 DOI: 10.1016/j.jpsychires.2021.05.082] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/25/2021] [Accepted: 05/29/2021] [Indexed: 11/26/2022]
Abstract
Bipolar disorder often follows a set progression best described in stages where advanced stages are associated with poorer outcomes. Bipolar disorder is also often characterized by a predominance of episode polarity, where some individuals experience more depressive episodes (termed predominant depressive polarity) while others experience more hypo/manic episodes (termed predominant hypo/manic polarity). We examined the associations between staging and predominant polarity with measures of illness burden and treatment outcome utilizing data from a six-month comparative effectiveness trial of lithium and quetiapine in bipolar disorder (Bipolar CHOICE). We used number of self-reported lifetime mood (depressive and hypo/manic) episodes as a proxy for staging and ratio of depressive to manic episodes to define predominant polarity. Polarity and staging were correlated with several measures of burden of illness. Childhood abuse was correlated with more lifetime mood episodes, while more depressive episodes and depressive polarity were correlated with more anxiety disorder comorbidity. Depressive polarity was also correlated with more past trials of psychotropics, particularly antidepressants. However, neither staging nor predominant polarity moderated the randomized treatment effect of lithium vs. quetiapine. Number of depressive episodes in the past year was identified as a potential predictor of overall worse treatment outcome, regardless of medication condition. In conclusion, though staging and predominant episode polarity correlated with several measures of illness burden, they were not associated with differential treatment outcomes. This could be because many of our patients presented for treatment at advanced stages of illness and further highlights the need for early intervention in bipolar disorder.
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Affiliation(s)
- Masoud Kamali
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, 02114, United States; Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, United States.
| | - Samantha Pegg
- Department of Psychology and Human Development, Vanderbilt University, 230 Appleton Place, Nashville, TN, 37203, United States.
| | - Jessica A. Janos
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 235 East Cameron Avenue, Chapel Hill, NC 27599, United States
| | - William V. Bobo
- Department of Psychiatry & Psychology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, United States
| | - Benjamin Brody
- Department of Psychiatry, Weill Cornell Medical College, 525 East 68th Street, New York, NY, 10065, United States.
| | - Keming Gao
- Department of Psychiatry, Case Western Reserve University School of Medicine, University Hospitals Cleveland Medical Center, 10524 Euclid Avenue, Cleveland, OH, 44106, United States.
| | - Terence A. Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305, United States
| | - Susan L. McElroy
- Lindner Center of HOPE, University of Cincinnati Department of Psychiatry and Behavioral Neuroscience, 260 Stetson Street, Cincinnati, OH 45219, United States
| | - Melvin G. McInnis
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48109, United States
| | - Dustin J. Rabideau
- Biostatistics Center, Massachusetts General Hospital, 50 Staniford Street, Suite 560, Boston, MA 02114, United States,Department of Medicine, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States
| | - Noreen A. Reilly-Harrington
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA 02114, United States,Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States
| | - Richard C. Shelton
- Department of Psychiatry, University of Alabama at Birmingham School of Medicine, 1720 2nd Avenue S, Birmingham, AL 35294, United States
| | - Louisa G. Sylvia
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA 02114, United States,Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States
| | - Mauricio Tohen
- Department of Psychiatry & Behavioral Sciences, University of New Mexico Health Sciences Center, 2400 Tucker Avenue NE, Albuquerque, NM, 87106, United States.
| | - Andrew Nierenberg
- Dauten Family Center for Bipolar Treatment Innovation, Department of Psychiatry, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA, 02114, United States; Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, United States.
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41
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Ghosal S, Mallik N, Acharya R, Dasgupta G, Mondal DK, Pal A. Medication adherence in bipolar disorder: Exploring the role of predominant polarity. Int J Psychiatry Med 2021:912174211030163. [PMID: 34196229 DOI: 10.1177/00912174211030163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Medication non-adherence is one important reason behind sub-optimal outcome from treatment of bipolar affective disorder (BPAD). Though various reasons behind medication non-adherence have been identified, little is known about the medication adherence patterns across various predominant polarities (PP) in BPAD. METHODS 100 euthymic patients of BPAD were purposively recruited and the PP were determined. Subsequently, Morisky Medication adherence scale (MMAS); Global Assessment of Functioning (GAF); Oslo Social Support Scale and World Health Organization Quality of Life scale- Brief version (WHOQOL-Bref) were administered. Analysis of covariance (ANCOVA) was done to estimate the difference of scores of MMAS after adjusting for any potential confounders. RESULTS Overall, 44 patients with manic PP (MPP), 17 with depressive PP (DPP) and 39 with indeterminate PP (IPP) were recruited. It was found that patients who presented with DPP showed significantly higher medication adherence as compared to MPP. CONCLUSION Knowledge of PP of a patient of BPAD can be useful in anticipating medication adherence and treatment outcome. The major limitations included non-probability sampling, cross-sectional design and limited generalizability of the results.
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Affiliation(s)
- Sutanuka Ghosal
- Department of Psychiatry, Institute of Post-Graduate Medical Education & Research, Kolkata, India
| | - Nitu Mallik
- Department of Psychiatry, College of Medicine & JNM Hospital, Kalyani, India
| | | | - Gargi Dasgupta
- Department of Psychiatry, Medical College and Hospital, Kolkata, India
| | - Dilip Kumar Mondal
- Department of Psychiatry, R. G. Kar Medical College and Hospital, Kolkata, India
| | - Arghya Pal
- Department of Psychiatry, All India Institute of Medical Sciences, Raebareli, India
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42
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Predominant Polarity and Polarity Index of Maintenance Treatments for Bipolar Disorder: A Validation Study in a Large Naturalistic Sample in Italy. ACTA ACUST UNITED AC 2021; 57:medicina57060598. [PMID: 34200746 PMCID: PMC8230357 DOI: 10.3390/medicina57060598] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 06/04/2021] [Accepted: 06/09/2021] [Indexed: 12/05/2022]
Abstract
Background and Objectives: Predominant polarity (PP) may be a useful course specifier in at least a significant proportion of patients with Bipolar Disorder (BD), being associated with several clinically relevant correlates. Emerging evidence suggests that the concept of PP might influence the selection of maintenance treatments, based on a drug polarity index (PI) which measures the greater antidepressive vs. antimanic preventive efficacy of mood stabilizers over long-term maintenance treatment. In this study, we aimed to validate the PI in a large sample of Italian BD patients with accurate longitudinal characterization of the clinical course, which ensured a robust definition of the PP. Materials and Methods: Our sample is comprised of 653 patients with BD, divided into groups based on the predominant polarity (manic/hypomanic predominant polarity—MPP, depressive predominant polarity—DPP and no predominant polarity). Subsequently we calculated the mean total polarity index for each group, and we compared the groups. Results: When we examined the mean PI of treatments prescribed to individuals with DPP, MPP and no predominant polarity, calculated using two different methods, we failed to find significant differences, with the exception of the PI calculated with the Popovic method and using the less stringent criterion for predominant polarity (PP50%). Conclusions: Future prospective studies are needed in order to determine whether the predominant polarity is indeed one clinical factor that might guide the clinician in choosing the right mood stabilizer for BD maintenance treatment.
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43
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Antonietta Furio M, Popovic D, Vieta E, Stukalin Y, Hagin M, Torrent C, Azorin JM, Angst J, Bowden CL, Mosolov S, Young AH, Perugi G. Characterization of rapid cycling bipolar patients presenting with major depressive episode within the BRIDGE-II-MIX study. Bipolar Disord 2021; 23:391-399. [PMID: 32959482 DOI: 10.1111/bdi.12994] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVES The "Bipolar Disorders: Improving Diagnosis, Guidance, and Education" (BRIDGE-II-Mix) study aimed to estimate the frequency of mixed states in patients with a major depressive episode (MDE) according to different definitions and to compare their clinical validity, looking into specific features such as rapid cycling (RC). METHODS Psychiatric symptoms, socio-demographic, and clinical variables were collected from a sample of 2811 MDE patients, of which 726 (25.8%) were diagnosed with bipolar disorder (BD). The characteristics of bipolar patients with RC (BD-RC) and without (BD-NRC) RC were compared. RESULTS Of 726 BD patients, 159 (21.9%) met DSM-5 criteria for RC. BD-RC group presented a higher number of lifetime depressive episodes (p < 0.001) with shorter duration of depressive episodes, and more psychiatric comorbidities, as well as higher rates of atypical features (p = 0.016) and concomitant (hypo)manic symptoms (irritable mood (p = 0.001); risky behavior (p = 0.005); impulsivity (p = 0.006); and psychomotor agitation (p = 0.029)). Patients with RC had a worse functioning (p = 0.033), more obesity (p = 0.003), and were significantly more likely to be treated with three or more drugs (p = 0.007). CONCLUSIONS Important clinical differences between bipolar patients with and without a RC include more depressive morbidity, higher incidence of anxiety disorders, addiction, bulimia, and borderline personality disorder, as well as atypical features during depression and symptoms such as irritability, risky behavior, impulsivity, and agitation. RC patients had poorer functioning than patients without RC, more obesity, and had to be treated with more drugs.
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Affiliation(s)
- Maria Antonietta Furio
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Dina Popovic
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Abarbanel Mental Health Center, Bat Yam, Israel
| | - Eduard Vieta
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Yelena Stukalin
- School of Behavioral Sciences, Tel Aviv-Yaffo Academic College, Tel-Aviv, Israel
| | - Michal Hagin
- Sheba Medical Center, Tel Hashomer University Hospital, Ramat Gan, Israel
| | - Carla Torrent
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | | | - Jules Angst
- Psychiatrische Universitätsklinik, Zürich, Switzerland
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44
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Amare AT, Schubert KO, Hou L, Clark SR, Papiol S, Cearns M, Heilbronner U, Degenhardt F, Tekola-Ayele F, Hsu YH, Shekhtman T, Adli M, Akula N, Akiyama K, Ardau R, Arias B, Aubry JM, Backlund L, Bhattacharjee AK, Bellivier F, Benabarre A, Bengesser S, Biernacka JM, Birner A, Brichant-Petitjean C, Cervantes P, Chen HC, Chillotti C, Cichon S, Cruceanu C, Czerski PM, Dalkner N, Dayer A, Del Zompo M, DePaulo JR, Étain B, Jamain S, Falkai P, Forstner AJ, Frisen L, Frye MA, Fullerton JM, Gard S, Garnham JS, Goes FS, Grigoroiu-Serbanescu M, Grof P, Hashimoto R, Hauser J, Herms S, Hoffmann P, Hofmann A, Jiménez E, Kahn JP, Kassem L, Kuo PH, Kato T, Kelsoe JR, Kittel-Schneider S, Kliwicki S, König B, Kusumi I, Laje G, Landén M, Lavebratt C, Leboyer M, Leckband SG, Tortorella A, Manchia M, Martinsson L, McCarthy MJ, McElroy SL, Colom F, Mitjans M, Mondimore FM, Monteleone P, Nievergelt CM, Nöthen MM, Novák T, O'Donovan C, Ozaki N, Ösby U, Pfennig A, Potash JB, Reif A, Reininghaus E, Rouleau GA, Rybakowski JK, Schalling M, Schofield PR, Schweizer BW, Severino G, Shilling PD, Shimoda K, Simhandl C, Slaney CM, Squassina A, Stamm T, Stopkova P, Maj M, Turecki G, Vieta E, Veeh J, Witt SH, Wright A, Zandi PP, Mitchell PB, Bauer M, Alda M, Rietschel M, McMahon FJ, Schulze TG, Baune BT. Association of polygenic score for major depression with response to lithium in patients with bipolar disorder. Mol Psychiatry 2021; 26:2457-2470. [PMID: 32203155 DOI: 10.1038/s41380-020-0689-5] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 01/28/2020] [Accepted: 02/13/2020] [Indexed: 11/09/2022]
Abstract
Lithium is a first-line medication for bipolar disorder (BD), but only one in three patients respond optimally to the drug. Since evidence shows a strong clinical and genetic overlap between depression and bipolar disorder, we investigated whether a polygenic susceptibility to major depression is associated with response to lithium treatment in patients with BD. Weighted polygenic scores (PGSs) were computed for major depression (MD) at different GWAS p value thresholds using genetic data obtained from 2586 bipolar patients who received lithium treatment and took part in the Consortium on Lithium Genetics (ConLi+Gen) study. Summary statistics from genome-wide association studies in MD (135,458 cases and 344,901 controls) from the Psychiatric Genomics Consortium (PGC) were used for PGS weighting. Response to lithium treatment was defined by continuous scores and categorical outcome (responders versus non-responders) using measurements on the Alda scale. Associations between PGSs of MD and lithium treatment response were assessed using a linear and binary logistic regression modeling for the continuous and categorical outcomes, respectively. The analysis was performed for the entire cohort, and for European and Asian sub-samples. The PGSs for MD were significantly associated with lithium treatment response in multi-ethnic, European or Asian populations, at various p value thresholds. Bipolar patients with a low polygenic load for MD were more likely to respond well to lithium, compared to those patients with high polygenic load [lowest vs highest PGS quartiles, multi-ethnic sample: OR = 1.54 (95% CI: 1.18-2.01) and European sample: OR = 1.75 (95% CI: 1.30-2.36)]. While our analysis in the Asian sample found equivalent effect size in the same direction: OR = 1.71 (95% CI: 0.61-4.90), this was not statistically significant. Using PGS decile comparison, we found a similar trend of association between a high genetic loading for MD and lower response to lithium. Our findings underscore the genetic contribution to lithium response in BD and support the emerging concept of a lithium-responsive biotype in BD.
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Affiliation(s)
- Azmeraw T Amare
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, SA, Australia
- South Australian Academic Health Science and Translation Centre, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
| | - Klaus Oliver Schubert
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, SA, Australia
- Northern Adelaide Local Health Network, Mental Health Services, Adelaide, SA, Australia
| | - Liping Hou
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| | - Scott R Clark
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, SA, Australia
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Micah Cearns
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, SA, Australia
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August University Göttingen, Göttingen, Germany
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Bonn, Germany
| | - Fasil Tekola-Ayele
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Yi-Hsiang Hsu
- HSL Institute for Aging Research, Harvard Medical School, Boston, MA, USA
- Program for Quantitative Genomics, Harvard School of Public Health, Boston, MA, USA
| | - Tatyana Shekhtman
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Mazda Adli
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany
| | - Nirmala Akula
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| | - Kazufumi Akiyama
- Department of Biological Psychiatry and Neuroscience, Dokkyo Medical University School of Medicine, Mibu, Tochigi, Japan
| | - Raffaella Ardau
- Unit of Clinical Pharmacology, Hospital University Agency of Cagliari, Cagliari, Italy
| | - Bárbara Arias
- Unitat de Zoologia i Antropologia Biològica (Dpt. Biologia Evolutiva, Ecologia i Ciències Ambientals), Facultat de Biologia and Institut de Biomedicina (IBUB), University of Barcelona, CIBERSAM, Barcelona, Spain
| | - Jean-Michel Aubry
- Department of Psychiatry, Mood Disorders Unit, HUG - Geneva University Hospitals, Geneva, Switzerland
| | - Lena Backlund
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | | | - Frank Bellivier
- INSERM UMR-S 1144, Université Paris Diderot, Département de Psychiatrie et de Médecine Addictologique, AP-HP, Groupe Hospitalier Saint-Louis-Lariboisière-F.Widal, Paris, France
| | - Antonio Benabarre
- Bipolar Disorder Program, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Susanne Bengesser
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for bipolar affective disorder, Medical University of Graz, Graz, Austria
| | - Joanna M Biernacka
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Armin Birner
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for bipolar affective disorder, Medical University of Graz, Graz, Austria
| | - Clara Brichant-Petitjean
- INSERM UMR-S 1144, Université Paris Diderot, Département de Psychiatrie et de Médecine Addictologique, AP-HP, Groupe Hospitalier Saint-Louis-Lariboisière-F.Widal, Paris, France
| | - Pablo Cervantes
- The Neuromodulation Unit, McGill University Health Centre, Montreal, QC, Canada
| | - Hsi-Chung Chen
- Department of Psychiatry & Center of Sleep Disorders, National Taiwan University Hospital, Taipei, Taiwan
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, Hospital University Agency of Cagliari, Cagliari, Italy
| | - Sven Cichon
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Bonn, Germany
- Human Genomics Research Group, Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Cristiana Cruceanu
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Piotr M Czerski
- Psychiatric Genetic Unit, Poznan University of Medical Sciences, Poznan, Poland
| | - Nina Dalkner
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for bipolar affective disorder, Medical University of Graz, Graz, Austria
| | - Alexandre Dayer
- Department of Psychiatry, Mood Disorders Unit, HUG - Geneva University Hospitals, Geneva, Switzerland
| | - Maria Del Zompo
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - J Raymond DePaulo
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Bruno Étain
- INSERM UMR-S 1144, Université Paris Diderot, Département de Psychiatrie et de Médecine Addictologique, AP-HP, Groupe Hospitalier Saint-Louis-Lariboisière-F.Widal, Paris, France
| | - Stephane Jamain
- Inserm U955, Translational Psychiatry laboratory, Fondation FondaMental, Créteil, France
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Bonn, Germany
- Human Genomics Research Group, Department of Biomedicine, University Hospital Basel, Basel, Switzerland
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Louise Frisen
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Mark A Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Janice M Fullerton
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Sébastien Gard
- Service de psychiatrie, Hôpital Charles Perrens, Bordeaux, France
| | - Julie S Garnham
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Fernando S Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Maria Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - Paul Grof
- Mood Disorders Center of Ottawa, Ottawa, ON, Canada
| | - Ryota Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Joanna Hauser
- Psychiatric Genetic Unit, Poznan University of Medical Sciences, Poznan, Poland
| | - Stefan Herms
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Bonn, Germany
- Human Genomics Research Group, Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Bonn, Germany
- Human Genomics Research Group, Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Andrea Hofmann
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Bonn, Germany
| | - Esther Jiménez
- Bipolar Disorder Program, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Jean-Pierre Kahn
- Service de Psychiatrie et Psychologie Clinique, Centre Psychothérapique de Nancy - Université de Lorraine, Nancy, France
| | - Layla Kassem
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| | - Po-Hsiu Kuo
- Department of Public Health & Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Tadafumi Kato
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, Saitama, Japan
| | - John R Kelsoe
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Sebastian Kliwicki
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Barbara König
- Department of Psychiatry and Psychotherapeutic Medicine, Landesklinikum Neunkirchen, Neunkirchen, Austria
| | - Ichiro Kusumi
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Gonzalo Laje
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| | - Mikael Landén
- Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the Gothenburg University, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Catharina Lavebratt
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Marion Leboyer
- Inserm U955, Translational Psychiatry laboratory, Université Paris-Est-Créteil, Department of Psychiatry and Addictology of Mondor University Hospital, AP-HP, Fondation FondaMental, Créteil, France
| | - Susan G Leckband
- Office of Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
| | | | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Lina Martinsson
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
| | - Michael J McCarthy
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
- Department of Psychiatry, VA San Diego Healthcare System, San Diego, CA, USA
| | - Susan L McElroy
- Department of Psychiatry, Lindner Center of Hope / University of Cincinnati, Mason, OH, USA
| | - Francesc Colom
- Mental Health Research Group, IMIM-Hospital del Mar, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Marina Mitjans
- Unitat de Zoologia i Antropologia Biològica (Dpt. Biologia Evolutiva, Ecologia i Ciències Ambientals), Facultat de Biologia and Institut de Biomedicina (IBUB), University of Barcelona, CIBERSAM, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Francis M Mondimore
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Palmiero Monteleone
- Neurosciences Section, Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Salerno, Italy
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn and Department of Genomics, Life & Brain Center, Bonn, Germany
| | - Tomas Novák
- National Institute of Mental Health, Klecany, Czech Republic
| | - Claire O'Donovan
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Norio Ozaki
- Department of Psychiatry & Department of Child and Adolescent Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Urban Ösby
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Medical Faculty, Technische Universität Dresden, Dresden, Germany
| | - James B Potash
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Eva Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for bipolar affective disorder, Medical University of Graz, Graz, Austria
| | - Guy A Rouleau
- Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
| | - Janusz K Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Martin Schalling
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Barbara W Schweizer
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Giovanni Severino
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Paul D Shilling
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Katzutaka Shimoda
- Department of Psychiatry, Dokkyo Medical University School of Medicine, Mibu, Tochigi, Japan
| | - Christian Simhandl
- Bipolar Center Wiener Neustadt, Sigmund Freud University, Medical Faculty, Vienna, Austria
| | - Claire M Slaney
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Alessio Squassina
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Thomas Stamm
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany
| | - Pavla Stopkova
- National Institute of Mental Health, Klecany, Czech Republic
| | - Mario Maj
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Gustavo Turecki
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Eduard Vieta
- Bipolar Disorder Program, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Julia Veeh
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Adam Wright
- School of Psychiatry, University of New South Wales, and Black Dog Institute, Sydney, NSW, Australia
| | - Peter P Zandi
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, and Black Dog Institute, Sydney, NSW, Australia
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Medical Faculty, Technische Universität Dresden, Dresden, Germany
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Francis J McMahon
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| | - Thomas G Schulze
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August University Göttingen, Göttingen, Germany
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Bernhard T Baune
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany.
- Department of Psychiatry, Melbourne Medical School, University of Melbourne, Parkville, VIC, Australia.
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.
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45
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Nobile B, Dubois J, Aouizerate B, Aubin V, Loftus J, Bellivier F, Belzeaux R, Dubertret C, Gard S, Haffen E, Schwan R, Llorca PM, Passerieux C, Roux P, Polosan M, Etain B, Leboyer M, Courtet P, Olié E. Characterization of depressed bipolar patients with current suicidal ideation. Aust N Z J Psychiatry 2021; 55:289-304. [PMID: 33043675 DOI: 10.1177/0004867420963744] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Bipolar disorder is one of the most frequent psychiatric disorders among suicidal patients. A large part of patients with bipolar disorder (30-50%) will attempt suicide. Suicidal ideation being a major risk factor of suicidal act, it is crucial to better characterize patients with suicidal bipolar depression (i.e. depression with current suicidal ideation). The aim of this study was to characterize suicidal bipolar depressed patients in comparison with non-suicidal depressed patients in terms of clinical characteristics, evolution of depression and suicidal ideation course over time, and risk of suicide attempt during follow-up. METHODS Among patients with bipolar disorder recruited from the network of FondaMental expert centres for bipolar disorder between 2009 and 2017, we selected patients with at least mild depression (Montgomery-Åsberg Depression Rating Scale total score >11) and without current manic symptomatology (Young Mania Rating Scale total score <7) at baseline (N = 938). Suicidal depression was defined by a baseline score ⩾2 for item 12 of the Quick Inventory of Depressive Symptomatology-Self Report (N = 271, 28.9%). Non-suicidal depression was defined by a baseline item 12 of the Quick Inventory of Depressive Symptomatology-Self Report score <2 (N = 667, 71.1%). A subsample of about 300 patients (with or without suicidal ideation at baseline) was followed up for 2 years. RESULTS Baseline clinical features (e.g. depression severity, childhood trauma, global functioning) were more severe in patients with than without suicidal depression. Suicidal patients tended to remain more suicidal throughout the follow-up than patients without suicidal ideation at baseline (3.4-fold higher risk of persistent suicidal ideation at the 2-year visit despite an improvement in depressive symptomatology). CONCLUSIONS Depressed bipolar disorder patients reporting suicidal ideation had more severe clinical features at baseline and were more prone to report persistent suicidal ideation during the follow-up, independently of thymic state. Clinicians should closely monitor this subgroup of patients.
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Affiliation(s)
- Bénédicte Nobile
- Department of Emergency Psychiatry and Post-Acute Care, CHU Montpellier, France and PSNREC, University of Montpellier, INSERM, CHU of Montpellier, Montpellier, France.,Fondation FondaMental, Créteil, France
| | - Jonathan Dubois
- Department of Emergency Psychiatry and Post-Acute Care, CHU Montpellier, France and PSNREC, University of Montpellier, INSERM, CHU of Montpellier, Montpellier, France
| | - Bruno Aouizerate
- Fondation FondaMental, Créteil, France.,Charles-Perrens Hospital, Department of clinical and academic Psychiatry, Bordeaux.,France/NutriNeuro, UMR INRA 1286, University of Bordeaux, Bordeaux, France
| | - Valerie Aubin
- Psychiatric Center, Hospital Princess Grace, Monaco, France
| | - Joséphine Loftus
- Fondation FondaMental, Créteil, France.,Psychiatric Center, Hospital Princess Grace, Monaco, France
| | - Frank Bellivier
- Fondation FondaMental, Créteil, France.,AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Fernand Widal, and INSERM UMRS 1144 and Université de Paris, Paris, France
| | - Raoul Belzeaux
- Fondation FondaMental, Créteil, France.,Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, Marseille, France; INT-UMR7289, CNRS Aix-Marseille Université, Marseille, France
| | - Caroline Dubertret
- Fondation FondaMental, Créteil, France.,AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, DMU ESPRIT, service de Psychiatrie et Addictologie. Hopital Louis Mourier, Colombes, Inserm U1266, Faculté de médecine, Université de Paris, France
| | - Sebastien Gard
- Fondation FondaMental, Créteil, France.,Charles-Perrens Hospital, Department of clinical and academic Psychiatry, Bordeaux
| | - Emmanuel Haffen
- Fondation FondaMental, Créteil, France.,Service de Psychiatrie de l'Adulte, CIC-1431 INSERM, CHU de Besançon, Laboratoire de Neurosciences, Université de Franche-Comté, UBFC
| | - Raymund Schwan
- Fondation FondaMental, Créteil, France.,Université de Lorraine; Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes du Grand Nancy, Nancy, France; INSERM U1114
| | - Pierre-Michel Llorca
- Fondation FondaMental, Créteil, France.,Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Christine Passerieux
- Fondation FondaMental, Créteil, France.,Centre Hospitalier de Versailles, Service de psychiatrie et d'addictologie adulte, Le Chesnay, EA 4047 HANDIReSP, UFR des Sciences de la Santé Simone Veil, Université Versailles Saint-Quentin-en-Yvelines, Versailles, France and Université Paris-Saclay, UVSQ, Inserm, CESP, Equipe "PsyDev", 94807, Villejuif, France
| | - Paul Roux
- Fondation FondaMental, Créteil, France.,Centre Hospitalier de Versailles, Service de psychiatrie et d'addictologie adulte, Le Chesnay, EA 4047 HANDIReSP, UFR des Sciences de la Santé Simone Veil, Université Versailles Saint-Quentin-en-Yvelines, Versailles, France and Université Paris-Saclay, UVSQ, Inserm, CESP, Equipe "PsyDev", 94807, Villejuif, France
| | - Mircea Polosan
- Fondation FondaMental, Créteil, France.,Centre Hospitalier de Versailles, Service de psychiatrie et d'addictologie adulte, Le Chesnay, EA 4047 HANDIReSP, UFR des Sciences de la Santé Simone Veil, Université Versailles Saint-Quentin-en-Yvelines, Versailles, France and Université Paris-Saclay, UVSQ, Inserm, CESP, Equipe "PsyDev", 94807, Villejuif, France
| | - Bruno Etain
- Fondation FondaMental, Créteil, France.,AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Fernand Widal, and INSERM UMRS 1144 and Université de Paris, Paris, France
| | - Marion Leboyer
- Fondation FondaMental, Créteil, France.,AP-HP, Département Médico-universitaire de Psychiatrie et d'addictologie (DMU ADAPT), Hôpitaux Universitaires Henri Mondor, Université Paris-est-Créteil, INSERM U955, équipe de Neuro-psychiatrie translationnelle, IMRB (Institut Mondor de Recherches Biomédicales), Créteil, France
| | | | - Philippe Courtet
- Department of Emergency Psychiatry and Post-Acute Care, CHU Montpellier, France and PSNREC, University of Montpellier, INSERM, CHU of Montpellier, Montpellier, France.,Fondation FondaMental, Créteil, France
| | - Emilie Olié
- Department of Emergency Psychiatry and Post-Acute Care, CHU Montpellier, France and PSNREC, University of Montpellier, INSERM, CHU of Montpellier, Montpellier, France.,Fondation FondaMental, Créteil, France
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46
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Buoli M, Gattoni E, Collantoni E, Monteleone AM, Solmi M, Longo L, Ribolsi M, Santambrogio J, Bersani FS, Aguglia A, Serafini G, Signorelli MS, Dell'Osso B, Luciano M, Galderisi S. Factors influencing lithium versus valproate prescription preference in the maintenance treatment of bipolar patients: a report from the Italian Early Career Psychiatrists (SOPSI-GG). Int J Psychiatry Clin Pract 2021; 25:82-89. [PMID: 33380246 DOI: 10.1080/13651501.2020.1865405] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
BACKGROUND Objective of the present manuscript is to investigate, among Italian early career psychiatrists (ECPs), prescriber and patient-related factors associated with lithium or valproate preference to treat patients affected by Bipolar Disorder (BD). METHODS An on-line survey was carried out among 252 ECPs, investigating their prescription patterns in relation to lithium and the differences with prescription of valproate. Collected data were compared according to lithium or valproate prescription preference in the long-term treatment of BD by χ2 tests for qualitative variables. RESULTS Over two thirds of ECPs preferred lithium over valproate for the maintenance treatment of BD. Less than half of the sample used lithium as first-line agent for mania or major depression, and less than one third for mixed episodes. Factors associated with lithium preference as first-line maintenance treatment include perception of having a good knowledge of lithium (p < 0.001) and complete satisfaction with education on lithium (p < 0.001). One of the main factors to prefer valproate was the concern about long-term side effects of lithium (p < 0.001). CONCLUSIONS Type of education, source of information, clinical experience and safety concerns influence the choice of lithium versus valproate in the long-term treatment of BD. Present findings may guide educational training of ECPs.KEY POINTSLithium has been less prescribed in the last years for long-term treatment of Bipolar Disorder.Educational and clinical factors seem to influence the attitude to prescribe lithium.Only half of the Italian early career psychiatrists declare to have at least an adequate knowledge of lithium.Residency program in psychiatry should consider the implementation of education on lithium.
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Affiliation(s)
- Massimiliano Buoli
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy.,Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Eleonora Gattoni
- Department of Translational Medicine, Institute of Psychiatry, Università del Piemonte Orientale, Novara, Italy.,Institute of Psychiatry, Maggiore della Carità Hospital of Novara, Novara, Italy
| | | | - Alessio Maria Monteleone
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie, Naples, Italy
| | - Marco Solmi
- Neurosciences Department, University of Padua, Padua, Italy
| | - Luisa Longo
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy; Azienda Ospedaliero-Universitaria Consorziale Policlinico, Bari, Italy
| | | | - Jacopo Santambrogio
- Department of Medicine and Surgery, School of Medicine and Surgery, University of Milano Bicocca, Milan, Italy
| | | | - Andrea Aguglia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Maria Salvina Signorelli
- Department of Clinical and Experimental Medicine, AOU Policlinico Hospital, University of Catania, Catania, Italy
| | - Bernardo Dell'Osso
- Department of Biomedical and Clinical Sciences, "Luigi Sacco", Psychiatry Unit 2, ASST-Fatebenefratelli-Sacco, Milan, Italy.,Department of Psychiatry and Behavioral Sciences, Bipolar Disorders Clinic, Stanford University, Stanford, CA, USA.,CRC "Aldo Ravelli" for Neurotechnology and Experimental Brain Therapeutics University of Milan, Milan, Italy
| | - Mario Luciano
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie, Naples, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie, Naples, Italy
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Fico G, de Toffol M, Anmella G, Sagué-Vilavella M, Dellink A, Verdolini N, Pacchiarotti I, Goikolea JM, Solmi M, Vieta E, Murru A. Clinical correlates of seasonality in bipolar disorder: A specifier that needs specification? Acta Psychiatr Scand 2021; 143:162-171. [PMID: 33140436 DOI: 10.1111/acps.13251] [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: 07/24/2020] [Revised: 10/09/2020] [Accepted: 10/28/2020] [Indexed: 01/16/2023]
Abstract
OBJECTIVE Seasonal pattern (SP) is a bipolar disorder (BD) specifier that indicates a tendency towards affective relapses during specific moments of the year. SP affects 15%-25% of BD patients. In the past, SP was applied only to depressive relapses while, in DSM-5, SP may be applied to both depressive and (hypo)manic episodes. We examined the association between different clinical correlates of BD and SP according to its current definition in a cohort of patients with BD type I (BDI) and II (BDII). METHODS Patients were recruited from a specialized unit and assessed according to the season of relapse and type of episode per season. SP and non-SP patients were compared looking into sociodemographic and clinical correlates. Significant variables at univariate comparisons were included in multivariate logistic regression with SP as the dependent variable. RESULTS 708 patients were enrolled (503 BDI, 205 BDII), and 117 (16.5%) fulfilled DSM-5 criteria for SP. The mean age was 45.3 years (SD = 14.18), and 389 were female (54.9%). The logistic regression model included a significant contribution of BDII (OR = 2.23, CI 1.4-3.55), family history of mood disorder (OR = 1.97, CI 1.29-3.01), undetermined predominant polarity (OR = 0.44, CI 0.28-0.70), and aggressive behavior (OR = 0.42, CI 0.23-0.75). CONCLUSION Our results outline a novel positive association of SP with undetermined predominant polarity, BDII, family history of mood disorder, and with fewer aggressiveness-related symptoms. Seasonality is associated with a biphasic pattern with similar dominance of (hypo)mania and depression and is more frequent in BDII as compared to BDI. Seasonal episodes may be easier to predict, but difficult to prevent.
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Affiliation(s)
- Giovanna Fico
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Marco de Toffol
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Spain.,Neurosciences Department, University of Padua, Padua, Italy
| | - Gerard Anmella
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Maria Sagué-Vilavella
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Annelies Dellink
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Spain.,Behavioural and Cognitive Neuroscience Programme, Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Isabella Pacchiarotti
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Jose Manuel Goikolea
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Marco Solmi
- Neurosciences Department, University of Padua, Padua, Italy
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Andrea Murru
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Spain
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48
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Socada JL, Söderholm JJ, Rosenström T, Ekelund J, Isometsä E. Presence and Overlap of Bipolar Symptoms and Borderline Features during Major Depressive Episodes. J Affect Disord 2021; 280:467-477. [PMID: 33246197 DOI: 10.1016/j.jad.2020.11.043] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 09/28/2020] [Accepted: 11/07/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND Bipolar symptoms and borderline personality features occur in both unipolar and bipolar major depressive episodes (MDEs). We investigated their prevalence, severity, co-occurrence and overlap. METHODS We interviewed 124 psychiatric outpatients with MDE using the Structured Clinical Interview for DSM-IV-TR Axis I and II Disorders, the Borderline Personality Disorder Severity Index (BPDSI-IV), and about past (hypo)manic episodes, and stratified them according to the principal diagnosis into subcohorts of major depressive disorder (MDD, n = 50), bipolar disorder (BD, n = 43), and borderline personality disorder (BPD, n = 31). We quantified (hypo)manic symptoms using a novel semi-structured interview (MIXed symptoms during MDE, MIX-MDE) with good psychometric qualities. RESULTS The subcohorts did not differ in MDE severity. They differed significantly in some (hypo)manic symptoms being present on most days in 24% of MDD, 30% of BD, and 42% of BPD subcohort, but only 5% of the BD subcohort fulfilled the DSM-5 mixed features. The mean MIX-MDE scores were 5.7 (SD 4.0), 12.0 (8.2) and 10.5 (7.5), and BPDSI-IV scores 15.6 (7.0), 17.2 (6.2) and 26.9 (8.7), respectively (both p < 0.001). (Hypo)manic days and unspecific symptoms of distractibility and irritability inflated the correlation of observed (hypo)manic symptoms and borderline features. LIMITATIONS Moderate sample size, limited age variation (18-50 years); no previous validation of MIX-MDE. CONCLUSIONS Presence of some mixed and borderline features is common in MDEs, with overlap and diagnosis-specific differences. Unspecific symptoms of irritability and distractibility and the aggravating impact of hypomania on perceived BPD features blur the differential diagnosis.
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Affiliation(s)
- J Lumikukka Socada
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Finland
| | - John J Söderholm
- University of Helsinki, Health Services of the City of Helsinki, Finland
| | - Tom Rosenström
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Finland
| | - Jesper Ekelund
- University of Turku and Turku University Central Hospital, Finland
| | - Erkki Isometsä
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Finland.
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49
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Argyropoulos GD, Christidi F, Karavasilis E, Velonakis G, Antoniou A, Bede P, Seimenis I, Kelekis N, Douzenis A, Papakonstantinou O, Efstathopoulos E, Ferentinos P. Cerebro-cerebellar white matter connectivity in bipolar disorder and associated polarity subphenotypes. Prog Neuropsychopharmacol Biol Psychiatry 2021; 104:110034. [PMID: 32710925 DOI: 10.1016/j.pnpbp.2020.110034] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/08/2020] [Accepted: 07/12/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND The cerebellum has a crucial role in mood regulation. While cerebellar grey matter (GM) alterations have been previously reported in bipolar disorder (BD), cerebro-cerebellar white matter (WM) connectivity alterations and cerebellar GM profiles have not been characterised in the context of predominant polarity (PP) and onset polarity (OP) subphenotypes of BD patients which is the aim of the present study. METHODS Forty-two euthymic BD patients stratified for PP and OP and 42 healthy controls (HC) were included in this quantitative neuroimaging study to evaluate cerebellar GM patterns and cerebro-cerebellar WM connections. Diffusion tensor tractography was used to characterise afferent and efferent cerebro-cerebellar tract integrity. False discovery rate corrections were applied in post-hoc comparisons. RESULTS BD patients exhibited higher fractional anisotropy (FA) in fronto-ponto-cerebellar tracts bilaterally compared to HC. Subphenotype-specific FA profiles were identified within the BD cohort. Regarding PP subgroups, we found FA changes in a) left contralateral fronto-ponto-cerebellar tract (depressive-PP > HC) and b) contralateral/ipsilateral fronto-ponto-cerebellar tracts bilaterally (manic-PP > HC). Regarding OP subgroups, we observed FA changes in a) left/right contralateral fronto-ponto-cerebellar tracts (depressive-OP > HC) and b) all fronto-ponto-cerebellar, most parieto-ponto-cerebellar and right contralateral occipito-ponto-cerebellar tracts (manic-OP>HC). In general, greater and more widespread cerebro-cerebellar changes were observed in manic-OP patients than in depressive-OP patients compared to HC. Manic-OP showed higher FA compared to depressive-OP patients in several afferent WM tracts. No GM differences were identified between BD and HC and across BD subgroups. CONCLUSIONS Our findings highlight fronto-ponto-cerebellar connectivity alterations in euthymic BD. Polarity-related subphenotypes have distinctive cerebro-cerebellar WM signatures with potential clinical and pathobiological implications.
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Affiliation(s)
- Georgios D Argyropoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Foteini Christidi
- 2nd Department of Psychiatry, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Medical Physics Laboratory, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Efstratios Karavasilis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Velonakis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Antoniou
- 2nd Department of Psychiatry, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Peter Bede
- Biomedical Imaging Laboratory, Sorbonne University, CNRS, INSERM, Paris, France; Computational Neuroimaging Group, Trinity College Dublin, Ireland
| | - Ioannis Seimenis
- Medical Physics Laboratory, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Kelekis
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Athanasios Douzenis
- 2nd Department of Psychiatry, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Olympia Papakonstantinou
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Efstathios Efstathopoulos
- Research Unit of Radiology and Medical Imaging, 2nd Department of Radiology, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Wang Z, Cao Y, Zhu Y, Li K, Jiang X, Zhuo C, Triplett P, Li J. Differences in Demographic and Clinical Characteristics of Patients With Depressive vs. Manic First Episode of Bipolar Disorder. Front Psychiatry 2021; 12:616415. [PMID: 33613341 PMCID: PMC7890127 DOI: 10.3389/fpsyt.2021.616415] [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] [Received: 10/12/2020] [Accepted: 01/04/2021] [Indexed: 11/19/2022] Open
Abstract
Background: Bipolar disorder is a serious mental disease marked by episodes of depression, mania, hypomania, or mixed states. Patients with bipolar disorder may present with different symptoms at first onset. The aim of this study is to compare demographic and clinical variables based on a patient's first episode of bipolar disorder, including risk of recurrence over a 2-year period. Methods: A large cohort (N = 742) of patients with bipolar disorder in China was analyzed. Patients were divided into two groups according to their first episode of bipolar disorder, either depression or mania. Patients in mixed state first episode were classified based on predominant symptoms. Three hundred eighteen patients of the cohort had a first episode of mania and 424 patients had initial symptoms of depression. Demographic and clinical data were collected. All patients were followed up for 24 months. Data on compliance with follow-up appointments and recurrence of symptoms after 6, 12, 18, and 24 months were collected. Clinical characteristics (course of disease, age of onset, psychiatric family history, etc.) were compared between the mania group and depression groups. Results: More patients with bipolar disorder had a first episode of depression than mania (57.14 vs. 42.86%). Compared with the depression group, the mania group had later age of diagnosis of bipolar disorder [(38.64 ± 13.50) vs. (36.34 ± 14.94), P = 0.028], lower education level [(9.37 ± 4.34) vs. (10.17 ± 4.81), P = 0.017] and longer latency between an initial episode of psychiatric symptoms and formal bipolar diagnosis [(10.80 ± 10.76) vs. (8.85 ± 9.90), P = 0.012]. More patients in the mania group were male and without psychotic symptoms (all P < 0.05). In comparison with the mania group, more patients in the depression group were female, with higher frequency of a reported precipitating event before first mood episode (all P < 0.05). Compared with the depression group, the mania group had more recurrences of illness at the end of 12 months (Z =-2.156, P = 0.031), 18 months (Z =-2.192, P = 0.028), and 24 months (Z = -2.364, P = 0.018). Conclusions: In our study, there are a number of differences in demographic and clinical characteristics of patients with different onset syndromes of bipolar disorder. These differences include gender, education level, diagnosis age, the rate of recurrences, and others. These data of a cohort of Chinese patients add to the growing international literature on the relationship between index episode of bipolar disorder and clinical variables and outcomes. These results and further study may allow clinicians to offer patients and families more reliable prognostic information at the onset of disease.
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Affiliation(s)
- Zhonggang Wang
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China.,Department of Psychiatry, Jining Psychiatric Hospital, Jining, China
| | - Yuying Cao
- Department of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China
| | - Yaya Zhu
- Department of Psychiatry, Jining Psychiatric Hospital, Jining, China
| | - Kunkun Li
- Department of Psychiatry, Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, China
| | - Xianfei Jiang
- Department of Psychiatry, Jining Psychiatric Hospital, Jining, China
| | - Chuanjun Zhuo
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Patrick Triplett
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Jie Li
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
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