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De Prisco M, Tapoi C, Oliva V, Possidente C, Strumila R, Takami Lageborn C, Bracco L, Girone N, Macellaro M, Vieta E, Fico G. Clinical features in co-occuring obsessive-compulsive disorder and bipolar disorder: A systematic review and meta-analysis. Eur Neuropsychopharmacol 2024; 80:14-24. [PMID: 38128332 DOI: 10.1016/j.euroneuro.2023.11.006] [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: 10/16/2023] [Revised: 11/25/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023]
Abstract
Obsessive-compulsive disorder (OCD) frequently co-occurs with various psychiatric conditions and may impact as many as one-fifth of individuals diagnosed with bipolar disorder (BD). Despite the expanding body of literature on the coexistence of OCD and BD, there is a notable lack of comprehensive data pertaining to the distinct features of obsessive-compulsive symptoms that define this comorbidity. To bridge this knowledge gap, we conducted a systematic search of PubMed/MEDLINE, Scopus, EMBASE, and PsycINFO until August 7th, 2023. We performed random-effects meta-analyses to compare individuals with both OCD and BD to those with OCD in terms of OCD symptomatology as well as the specific categories of obsessions and compulsions. Out of the 10,393 records initially screened, 17 studies were ultimately incorporated into the qualitative assessment, with 15 of them being included in the quantitative analysis. Individuals with OCD and BD experienced fewer lifetime contamination obsessions (OR=0.71; 95 %CI=0.53, 0.95; p = 0.021) and more sexual obsessions (OR=1.77; 95 %CI=1.03, 3.04; p = 0.04) compared to individuals with OCD without BD. No significant difference was observed for other types of obsessions or compulsions or for the severity of OCD symptoms, although BD type may play a role according to meta-regression analyses. The detection of the presence of sexual or contamination obsessions through a detailed interview may be the focus of clinical attention when assessing OCD in the context of comorbid BD. Sub-phenotyping complex clinical presentation of comorbid psychiatric disorders can aid in making more informed decisions when choosing an appropriate treatment approach.
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Affiliation(s)
- Michele De Prisco
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences (ICN), Universitat de Barcelona (UB), C. Casanova, 143, Barcelona 08036, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, C. Villarroel, 170, Barcelona 08036, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), C. Villarroel, 170, Barcelona 08036, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Cristiana Tapoi
- Department of Psychiatry, Professor Dr. Dimitrie Gerota Emergency Hospital, Bucharest, Romania
| | - Vincenzo Oliva
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences (ICN), Universitat de Barcelona (UB), C. Casanova, 143, Barcelona 08036, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, C. Villarroel, 170, Barcelona 08036, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), C. Villarroel, 170, Barcelona 08036, Spain; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Chiara Possidente
- Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, C. Villarroel, 170, Barcelona 08036, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), C. Villarroel, 170, Barcelona 08036, Spain; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Robertas Strumila
- Department of Urgent and Post Urgent Psychiatry, CHU Montpellier, Montpellier 34000, France; Institute of Functional Genomics, CNRS, INSERM, University of Montpellier, Montpellier, France; Faculty of Medicine, Institute of Clinical Medicine, Psychiatric Clinic, Vilnius University, Vilnius, Lithuania
| | | | - Lorenzo Bracco
- Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, C. Villarroel, 170, Barcelona 08036, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), C. Villarroel, 170, Barcelona 08036, Spain; Department of Pathophysiology and Transplantation, University of Milan, Milan 20122, Italy
| | - Nicolaja Girone
- Department of Biomedical and Clinical Sciences "Luigi Sacco", Department of Psychiatry, University of Milan, Milan, Italy
| | - Monica Macellaro
- Department of Biomedical and Clinical Sciences "Luigi Sacco", Department of Psychiatry, University of Milan, Milan, Italy
| | - Eduard Vieta
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences (ICN), Universitat de Barcelona (UB), C. Casanova, 143, Barcelona 08036, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, C. Villarroel, 170, Barcelona 08036, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), C. Villarroel, 170, Barcelona 08036, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Giovanna Fico
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences (ICN), Universitat de Barcelona (UB), C. Casanova, 143, Barcelona 08036, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, C. Villarroel, 170, Barcelona 08036, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), C. Villarroel, 170, Barcelona 08036, Spain
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Qian Y, Solano MJ, Kreindler D. Grouping of mood symptoms by time series dynamics. J Affect Disord 2022; 309:186-192. [PMID: 35461820 DOI: 10.1016/j.jad.2022.04.117] [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: 10/15/2021] [Revised: 03/12/2022] [Accepted: 04/16/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Understanding how symptoms of mood disorders vary over time in relation to each other is potentially valuable for diagnosis and predicting episodes of illness. In this paper, we characterize the degree of similarity of time series of different mood disorder symptoms. METHODS We collected 32,215 mood disorder symptom questionnaires, administered twice-daily over 18 months to (n = 19) subjects with rapidly cycling bipolar disorder and (n = 20) healthy control subjects, using visual analog scales to rate 11 sets of symptom severity ratings plus a control item. We used Dynamic Time Warping to calculate similarity ratings between all within-subject pairs of severity ratings followed by Exploratory Factor Analysis (EFA) to identify latent factors of symptom time series across all subjects. RESULTS Two latent factors were identified: one with depression and anxiety; and a second, with concentration, energy, irritability, fatigue, appetite, euphoria/elation and overall mood. Restlessness, racing thoughts, and the control item (daily hours of daylight) did not cluster with any of the others. LIMITATIONS Limited sample size dictated that we pool bipolar and healthy patients and use an iterative EFA procedure. CONCLUSION This analysis suggests that, in a pooled sample of individuals with bipolar disorder and in healthy controls, severity ratings of overall depression and overall anxiety vary jointly as one dynamic factor, while some but not all other DSM mood symptoms vary jointly along with overall mood rating as a second dynamic factor. Further investigation may determine if these findings can simplify subjective symptom reporting in mood-monitoring studies.
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Affiliation(s)
- Yuxin Qian
- Applied Mathematics Program, University of California Los Angeles, Los Angeles, California, USA
| | - Maria José Solano
- Mathematics and Computer Science Program, McGill University, Montreal, Quebec, Canada
| | - David Kreindler
- Division of Child and Youth Mental Health, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada, M5T 1R8; Centre for Mobile Computing in Mental Health, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada, M4N 3M5; Division of Youth Psychiatry, Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada, M4N 3M5.
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Nunes A, Trappenberg T, Alda M. The definition and measurement of heterogeneity. Transl Psychiatry 2020; 10:299. [PMID: 32839448 PMCID: PMC7445182 DOI: 10.1038/s41398-020-00986-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 07/21/2020] [Accepted: 08/10/2020] [Indexed: 12/31/2022] Open
Abstract
Heterogeneity is an important concept in psychiatric research and science more broadly. It negatively impacts effect size estimates under case-control paradigms, and it exposes important flaws in our existing categorical nosology. Yet, our field has no precise definition of heterogeneity proper. We tend to quantify heterogeneity by measuring associated correlates such as entropy or variance: practices which are akin to accepting the radius of a sphere as a measure of its volume. Under a definition of heterogeneity as the degree to which a system deviates from perfect conformity, this paper argues that its proper measure roughly corresponds to the size of a system's event/sample space, and has units known as numbers equivalent. We arrive at this conclusion through focused review of more than 100 years of (re)discoveries of indices by ecologists, economists, statistical physicists, and others. In parallel, we review psychiatric approaches for quantifying heterogeneity, including but not limited to studies of symptom heterogeneity, microbiome biodiversity, cluster-counting, and time-series analyses. We argue that using numbers equivalent heterogeneity measures could improve the interpretability and synthesis of psychiatric research on heterogeneity. However, significant limitations must be overcome for these measures-largely developed for economic and ecological research-to be useful in modern translational psychiatric science.
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Affiliation(s)
- Abraham Nunes
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
- Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Thomas Trappenberg
- Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
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Affiliation(s)
- Dimitrios Kontis
- 4th Psychiatric Department, Psychiatric Hospital of Attica, Athens, Greece
| | - Konstantinos N Fountoulakis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Baek JH, Ha K, Kim Y, Cho YA, Yang SY, Choi Y, Jang SL, Park T, Ha TH, Hong KS. Psychopathologic structure of bipolar disorders: exploring dimensional phenotypes, their relationships, and their associations with bipolar I and II disorders. Psychol Med 2019; 49:2177-2185. [PMID: 30326977 DOI: 10.1017/s003329171800301x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
BACKGROUND Given its diverse disease courses and symptom presentations, multiple phenotype dimensions with different biological underpinnings are expected with bipolar disorders (BPs). In this study, we aimed to identify lifetime BP psychopathology dimensions. We also explored the differing associations with bipolar I (BP-I) and bipolar II (BP-II) disorders. METHODS We included a total of 307 subjects with BPs in the analysis. For the factor analysis, we chose six variables related to clinical courses, 29 indicators covering lifetime symptoms of mood episodes, and 6 specific comorbid conditions. To determine the relationships among the identified phenotypic dimensions and their effects on differentiating BP subtypes, we applied structural equation modeling. RESULTS We selected a six-factor solution through scree plot, Velicer's minimum average partial test, and face validity evaluations; the six factors were cyclicity, depression, atypical vegetative symptoms, elation, psychotic/irritable mania, and comorbidity. In the path analysis, five factors excluding atypical vegetative symptoms were associated with one another. Cyclicity, depression, and comorbidity had positive associations, and they correlated negatively with psychotic/irritable mania; elation showed positive correlations with cyclicity and psychotic/irritable mania. Depression, cyclicity, and comorbidity were stronger in BP-II than in BP-I, and they contributed significantly to the distinction between the two disorders. CONCLUSIONS We identified six phenotype dimensions; in addition to symptom features of manic and depressive episodes, various comorbidities and high cyclicity constructed separate dimensions. Except for atypical vegetative symptoms, all factors showed a complex interdependency and played roles in discriminating BP-II from BP-I.
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Affiliation(s)
- Ji Hyun Baek
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyooseob Ha
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
- Institute of Human Behavioral Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yongkang Kim
- Department of Statistics, Seoul National University, Seoul, Korea
| | - Young-Ah Cho
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - So Yung Yang
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yujin Choi
- Samsung Biomedical Research Institute, Seoul, Korea
| | | | - Taesung Park
- Department of Statistics, Seoul National University, Seoul, Korea
| | - Tae Hyon Ha
- Department of Psychiatry, Seoul National University Bundang Hospital, Gyeonggi-do, Korea
| | - Kyung Sue Hong
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Samsung Biomedical Research Institute, Seoul, Korea
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Ghouse AA, Sanches M, Zunta-Soares GB, Soares JC. Lifetime mood spectrum symptoms among bipolar patients and healthy controls: a cross sectional study with the Mood Spectrum Self-Report questionnaire. J Affect Disord 2014; 166:165-7. [PMID: 25012426 PMCID: PMC4406378 DOI: 10.1016/j.jad.2014.04.064] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2014] [Accepted: 04/25/2014] [Indexed: 12/15/2022]
Abstract
BACKGROUND The "spectrum" model has advantages for the conceptualization of mental disorders, representing a complementary approach to the currently available categorical systems. We carried out a study in order to assess lifetime mood symptoms among patients with bipolar disorder (BD) and healthy controls from a dimensional perspective. METHODS The Mood Spectrum Self-Report instrument (MOODS-SR) was administered to 101 bipolar patients (52 BD I, 32 BD II, and 17 BD NOS, 36 males/65 females, mean age+SD=36.10±13.34 years) and 38 healthy controls (16 males/22females, mean age+SD=35.18±13.70 years). The scores of the different MOOD-SR scales and subscales among patients and controls were compared using non-parametric tests (Mann-Whitney and Kruskal-Wallis). RESULTS Bipolar patients scored significantly higher than healthy controls on the total MOOD-SR scores (BD: mean±SD=98.65±22.17; HC: mean±SD=12.92±10.72; p<0.01) and all subdomains. Multiple comparisons revealed lower scores among controls when compared to each one of the subtypes of BD, also regarding the total scores and all subdomains (p<0.01). Comparisons across the different subtypes of BD revealed statistically significant higher scores among BD I patients when compared to BD II and BD NOS patients, only in regard to the total MOOD-SR scores (BD I: mean±SD=102.94±22.79; BD II: mean±SD=93.53±21.97; BD NOS: mean±SD= 94.88±18.68; p=0.03) and two subdomains: mood mania and energy mania. CONCLUSIONS These results, although preliminary, suggest that even though the MOODS-SR seems effective in distinguishing BD patients from HC, it is not as good in discriminating different subtypes of BD, especially in respect to lifetime depressive symptoms. LIMITATIONS Our sample size was small, and comprised by outpatients. The MOOD-SR measures only lifetime symptoms and does not take into account the progression of mood symptoms or the current mood state of patients.
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Affiliation(s)
- Amna. A. Ghouse
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, U.S.A
| | - Marsal Sanches
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, U.S.A
| | - Giovana B. Zunta-Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, U.S.A
| | - Jair C. Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, U.S.A
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Cuesta MJ, Basterra V, Sanchez-Torres A, Peralta V. Controversies surrounding the diagnosis of schizophrenia and other psychoses. Expert Rev Neurother 2014; 9:1475-86. [DOI: 10.1586/ern.09.102] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Overdiagnosis of bipolar disorder: a critical analysis of the literature. ScientificWorldJournal 2013; 2013:297087. [PMID: 24348150 PMCID: PMC3856145 DOI: 10.1155/2013/297087] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2013] [Accepted: 09/23/2013] [Indexed: 02/07/2023] Open
Abstract
Bipolar disorder (BD) is considered one of the most disabling mental conditions, with high rates of morbidity, disability, and premature death from suicide. Although BD is often misdiagnosed as major depressive disorder, some attention has recently been drawn to the possibility that BD could be overdiagnosed in some settings. The present paper focuses on a critical analysis of the overdiagnosis issue among bipolar patients. It includes a review of the available literature findings, followed by some recommendations aiming at optimizing the diagnosis of BD and increasing its reliability.
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Cuesta MJ, Peralta V. Psychopathological assessment of schizophrenia: relevance for classification. Curr Psychiatry Rep 2009; 11:324-31. [PMID: 19635242 DOI: 10.1007/s11920-009-0047-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Considerable effort has been focused on updating the clinical aspects of psychiatric classifications based on recent progress in the field of neurobiology. In this article, recent developments in the primary assessment methods within clinical psychiatry, which are based in phenomenological psychopathology, are reviewed as nosotaxies that are still embedded in clinical description. New directions for research on psychopathology are outlined to elicit better descriptions of subjective experience from patients. Finally, the known limitations of the Kraepelinian dichotomy are summarized, and future problems related to the inclusion of the new dimensional assessment methods in the next psychiatric classifications are described.
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Affiliation(s)
- Manuel J Cuesta
- Psychiatric Unit, Virgen del Camino Hospital, Irunlarrea 4, Pamplona 31008, Spain.
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