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Qian X, Zhong Z, Lu S, Zhang Y. Repeated reserpine treatment induces depressive-like behaviors accompanied with hippocampal impairment and synapse deficit in mice. Brain Res 2023; 1819:148541. [PMID: 37619854 DOI: 10.1016/j.brainres.2023.148541] [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: 05/24/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 08/26/2023]
Abstract
Depression remains a significant public health concern, and current animal models of depression are limited in their ability to accurately mimic human depression. However, studying the new development of antidepressants requires the use of progressive animal models. In this study, the mice were exposed to a low dose of reserpine (0.5 mg/kg) once daily for 14 days, followed by a 14-day period to allow for the development of spontaneous depression. We have successfully established a repeated reserpine-induced depressive animal model, which was characterized by emotional symptoms (anhedonia), cognitive symptoms, and psychomotor agitation or retardation. Our study demonstrated that repeated treatment with low-dose reserpine increased immobility time in the TST and FST. It also decreased the sucrose consumption ratio and induced anxiety-like behaviors. These anxiety-like behaviors were evidenced by decreased time spent in the center zone, longer first latency to center zone, and fewer entries into the center zone in the open field test. These findings support the utility of the low-dose reserpine repeated injection animal model for studying the pathogenesis of depression and the development of novel antidepressant treatments. Additionally, this study provides valuable insights into the potential of low-dose reserpine as a tool for modeling chronic depression in animals. Furthermore, our findings suggest that prolonged low-dose reserpine treatment could result in chronic depression. These findings have significant implications for the use of reserpine as a therapeutic agent for various conditions and emphasize the importance of closely monitoring patients' mental health.
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Affiliation(s)
- Xu Qian
- School of Chemistry, Guangdong Key Lab of Chiral Molecules and Drug Discovery, Sun Yat-Sen University, Guangzhou 510275, China.
| | - Zuodong Zhong
- School of Pharmacy, Guangzhou Medical University, Guangzhou 510275, China
| | - Sitong Lu
- School of Pharmacy, Guangzhou Medical University, Guangzhou 510275, China
| | - Yao Zhang
- Department of Respiratory and Critical Medicine, General Hospital of Eastern Theater Command, Nanjing 210016, China.
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Kendler KS, Abrahamsson L, Ohlsson H, Sundquist J, Sundquist K. Obsessive-Compulsive Disorder and Its Cross-Generational Familial Association With Anxiety Disorders in a National Swedish Extended Adoption Study. JAMA Psychiatry 2023; 80:314-322. [PMID: 36723936 PMCID: PMC10077103 DOI: 10.1001/jamapsychiatry.2022.4777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/23/2022] [Indexed: 02/02/2023]
Abstract
Importance We know little about the transmission of obsessive-compulsive disorder (OCD) across generations. Objective To evaluate the sources of parent-offspring transmission of OCD and familial cross-generational association with more typical anxiety disorders. Design, Setting, and Participants This Swedish population register-based study analyzed data for offspring born in Sweden from 1960 to 1995 from the following 4 family types: intact, not-lived-with biological father, lived-with stepfather, and adoptive. Follow-up occurred on December 31, 2018, and data were analyzed from April 6, 2022, to September 26, 2022. Exposures Three sources of parent-offspring resemblance: genes plus rearing, genes only, and rearing only. Main Outcomes and Measures Diagnoses of OCD, all anxiety disorders, generalized anxiety disorder (GAD), social phobia, and panic disorder were obtained from national inpatient, outpatient, and primary care medical registers. Parent-child resemblance was assessed by tetrachoric correlation (r). Results The offspring population consisted of 2 413 128 individuals; mean (SD) age at follow-up was 40.2 (10.7) years, 1 258 670 individuals (52.2%) were male, and 1 154 458 individuals (47.8%) were female. For each type of parent-child relationship, the best-estimate correlation for OCD for genes plus rearing was 0.19 (95% CI, 0.17 to 0.20); genes only, 0.18 (95% CI, 0.11 to 0.24); and rearing only, 0.04 (95% CI, -0.10 to 0.19). From bivariate adoption analyses, the cross-generational genetic correlations between OCD with anxiety disorder diagnostic categories were estimated as follows: for all anxiety disorders, 0.62 (95% CI, 0.46 to 0.77); GAD, 0.87 (95% CI, 0.53 to 1.00); social phobia, 0.70 (95% CI, 0.31 to 1.00); and panic disorder, 0.47 (95% CI, 0.20 to 0.73). Conclusions and Relevance This Swedish population register-based study found that OCD was transmitted from parents to children largely through a genetic relationship, with rearing playing a minor role. Viewed cross-generationally, OCD and anxiety disorders were moderately genetically correlated, with the genetic correlations strongest between OCD and GAD, intermediate for OCD and social phobia, and weakest between OCD and panic disorder. These genetic correlations were modestly attenuated when diagnostic hierarchies were imposed before analysis.
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Affiliation(s)
- Kenneth S. Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond
- Department of Psychiatry, Virginia Commonwealth University, Richmond
| | - Linda Abrahamsson
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Henrik Ohlsson
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Jan Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Department of Family Medicine and Community Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Department of Family Medicine and Community Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
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Subbaramaiah M, Archana R, Jagannatha SR. A case series of synostosis/blocks observed in Indian human vertebra: Clinical and developmental perspective. NATIONAL JOURNAL OF CLINICAL ANATOMY 2023. [DOI: 10.4103/njca.njca_231_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023] Open
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Fineberg NA, Pellegrini L, Clarke A, Perera U, Drummond LM, Albert U, Laws KR. Meta-analysis of cognitive behaviour therapy and selective serotonin reuptake inhibitors for the treatment of hypochondriasis: Implications for trial design. Compr Psychiatry 2022; 118:152334. [PMID: 36007340 DOI: 10.1016/j.comppsych.2022.152334] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 06/03/2022] [Accepted: 06/08/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Classification of hypochondriasis as an obsessive-compulsive and related disorder in the International Classification of Diseases 11th Revision (ICD-11) has generated new heuristics for treatment of this common, chronic and disabling disorder. Standard treatment involves cognitive behaviour therapy (CBT) or selective serotonin reuptake inhibitors (SSRIs), but no meta-analysis has so far considered hypochondriasis as a structured diagnosis or assessed the role of medication. A clearer understanding of the relative effectiveness of these interventions and identification of clinically relevant factors moderating the treatment response is needed for clinical guideline development. METHODS The current systematic review and meta-analysis of interventions for hypochondriasis was preregistered on PROSPERO (CRD42020185768) and follows PRISMA guidelines. We searched MEDLINE, PsycINFO, and Cochrane Library databases until July 2021 for randomized controlled trials (RCTs) of interventions for patients diagnosed with hypochondriasis (or historical diagnostic equivalents). We assessed aspects of study quality using: the CONSORT Checklist for evaluation of RCTs, the Cochrane Risk of Bias 2 tool, researcher allegiance and treatment fidelity. The primary outcome was improvement in hypochondriasis symptoms, comparing intervention and control groups at trial endpoint. Moderator variables were assessed using subgroup and meta-regression analyses. RESULTS Searches identified 13 randomised controlled trials (RCTs) (N = 1405); 12 included CBT (N = 1212) and three included SSRI (N = 193) arms as the experimental intervention. Random effects meta-analysis yielded a moderate-to-large effect size for CBT versus all controls (g = -0.70 [95% CI -0.99 to -0.41], k = 18, I2 = 81.1%). Funnel plot asymmetry indicated possible publication bias and two potentially missing trials, reducing the effect size (g = -0.60 [95% CI -0.88 to -0.32]). Subgroup analysis showed that choice of control significantly moderated effect size, with those in CBT vs. wait-list (g = -1.32 [95% CI -1.75 to -0.90], k = 7, I2 = 0%) being double those of CBT vs. psychological or pharmacological placebo controls (g = -0.58 [95% CI -0.95 to -0.22], k = 7, I2 = 82%). Analysis of studies directly comparing CBT and SSRIs found a numerical, but not statistical advantage for SSRIs (g = 0.21 [95% CI -0.46 to 0.87], k = 2, I2 = 58.34%) and a modest effect size emerged for SSRIs vs. pill placebo (g = -0.29 [95% CI -0.57 to -0.01], k = 3, I2 = 0%). Most studies (11/13) were rated as high on potential researcher allegiance bias in favour of CBT. Meta-regressions revealed that effect sizes were larger in younger participants, and smaller in better quality and more recent RCTs and those with greater CBT fidelity. CONCLUSION CBT and SSRIs are effective in the acute treatment of hypochondriasis, with some indication that intervention at a younger age produces better outcomes for CBT. In the case of CBT, effect sizes appear to have been significantly inflated by the use of wait list controls, and researcher allegiance bias. We recommend that a definitive, adequately controlled trial, designed with respect to the methodological issues raised in this meta-analysis, is needed to determine the magnitude effects for CBT and SSRIs with confidence and the long-term effect of treatments, to inform mental health service provision for this overlooked patient group.
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Affiliation(s)
- Naomi A Fineberg
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom; Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, United Kingdom; University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Luca Pellegrini
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom; Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, United Kingdom; Centre for Psychedelic Research, Imperial College London, London, United Kingdom.
| | - Aaron Clarke
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom
| | - Uday Perera
- Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, United Kingdom
| | - Lynne M Drummond
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom; South West London and St George's Mental Health NHS Trust, London, United Kingdom
| | - Umberto Albert
- Department of Medicine, Surgery and Health Sciences, UCO Clinica Psichiatrica, University of Trieste, Trieste, Italy
| | - Keith R Laws
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom
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Kogan CS, Maj M, Rebello TJ, Keeley JW, Kulygina M, Matsumoto C, Robles R, Huang J, Zhong N, Chakrabarti S, Figueira ML, Stein DJ, Strakowski SM, Garcia-Pacheco JA, Burns S, Montoya M, Andrade L, Ayuso-Mateos JL, Arango I, Balhara YPS, Bryant R, Cournos F, Porto JAD, Meyer TD, Medina-Mora ME, Gureje O, First MB, Gaebel W, Khoury B, Krasnov VN, de Jesus Mari J, Maruta T, Pike KM, Roberts MC, Sharan P, Zhao M, Reed GM. A global field study of the international classification of diseases (ICD-11) mood disorders clinical descriptions and diagnostic guidelines. J Affect Disord 2021; 295:1138-1150. [PMID: 34706426 DOI: 10.1016/j.jad.2021.08.050] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/18/2021] [Accepted: 08/21/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND We report results of an internet-based field study evaluating the diagnostic guidelines for ICD-11 mood disorders. Accuracy of clinicians' diagnostic judgments applying draft ICD-11 as compared to the ICD-10 guidelines to standardized case vignettes was assessed as well as perceived clinical utility. METHODS 1357 clinician members of the World Health Organization's Global Clinical Practice Network completed the study in English, Spanish, Japanese or Russian. Participants were randomly assigned to apply ICD-11 or ICD-10 guidelines to one of eleven pairs of case vignettes. RESULTS Clinicians using the ICD-11 and ICD-10 guidelines achieved similar levels of accuracy in diagnosing mood disorders depicted in vignettes. Those using the ICD-11 were more accurate in identifying depressive episode in recurrent depressive disorder. There were no statistically significant differences detected across classifications in the accuracy of identifying dysthymic or cyclothymic disorder. Circumscribed problems with the proposed ICD-11 guidelines were identified including difficulties differentiating bipolar type I from bipolar type II disorder and applying revised severity ratings to depressive episodes. Clinical utility of ICD-11 bipolar disorders was found to be significantly lower than for ICD-10 equivalent categories. LIMITATIONS Standardized case vignettes were manipulated to evaluate specific changes. The degree of accuracy of clinicians' diagnostic judgments may not reflect clinical decision-making with patients. CONCLUSIONS Alignment of the ICD-11 with current research appears to have been achieved without sacrificing diagnostic accuracy or clinical utility though specific training may be necessary as ICD-11 is implemented worldwide. Areas in which the ICD-11 guidelines did not perform as intended resulted in further revisions.
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Affiliation(s)
- Cary S Kogan
- School of Psychology, University of Ottawa, 136 Jean-Jacques Lussier Pvt., Vanier Building, Ottawa, Ontario K1N 6N5, Canada.
| | - Mario Maj
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
| | - Tahilia J Rebello
- Global Mental Health Program, Columbia University and New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA
| | - Jared W Keeley
- Department of Psychology, Virginia Commonwealth University, 800 W. Franklin Street, P.O. Box 842018, Richmond, VA, 23284-2018, USA
| | - Maya Kulygina
- Moscow Research Institute of Psychiatry, Poteshnaya 3, 107076, Moscow, Russian Federation
| | - Chihiro Matsumoto
- National Study Coordinator for ICD-11 Field Studies, ICD-11 Committee, Japanese Society of Psychiatry and Neurology, Hongo-Yumicho Building, 2-38-4, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Rebeca Robles
- Instituto Nacional de Psiquiatría 'Ramón de la Fuente', WHO Collaborating Centre on Addictions and Mental Health, Calzada Mexico-Xochimilco 101, Tlalpan, ZC 14370, Ciudad de México, Mexico
| | - Jingjing Huang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, WHO Collaborating Centre for Research and Training in Mental Health, 600 Wan Ping Nan Rd., Shanghai, 200030, People's Republic of China
| | - Na Zhong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, WHO Collaborating Centre for Research and Training in Mental Health, 600 Wan Ping Nan Rd., Shanghai, 200030, People's Republic of China
| | - Subho Chakrabarti
- Dept. Of Psychiatry, Postgraduate Institute of Medical Education & Research (PGIMER), Chandigarh, - 160012, India
| | - Maria Luisa Figueira
- Department of Psychiatry, Faculty of Medicine, University of Lisbon, 1699, Lisboa Codex, Portugal
| | - Dan J Stein
- Department of Psychiatry, University of Cape Town and Groote Schuur Hospital, J-Block, Anzio Road, Observatory 7925, South Africa
| | - Stephen M Strakowski
- Dell Medical School, University of Texas at Austin, Health Learning Building, 1501 Red River St., Austin, Texas, 78712, USA
| | - José A Garcia-Pacheco
- Centro de Investigación y Docencia Económica, Carr. México-Toluca 3655, Santa Fe, Altavista, Álvaro Obregón, 01210, Ciudad de México, México
| | - Samantha Burns
- School of Psychology, University of Ottawa, 136 Jean-Jacques Lussier Pvt., Vanier Building, Ottawa, Ontario K1N 6N5, Canada
| | - Madeline Montoya
- School of Psychology, University of Ottawa, 136 Jean-Jacques Lussier Pvt., Vanier Building, Ottawa, Ontario K1N 6N5, Canada
| | - Laura Andrade
- Institute of Psychiatry, School of Medicine, University of São Paulo, Av. Dr. Arnaldo, 455 - Cerqueira César, São Paulo, 01246903, Brazil
| | - José L Ayuso-Mateos
- Department of Psychiatry, Universidad Autonoma de Madrid; Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM); Instituto de Investigación Sanitaria La Princesa, Madrid, Spain
| | - Ivan Arango
- Instituto Nacional de Psiquiatría 'Ramón de la Fuente', WHO Collaborating Centre on Addictions and Mental Health, Calzada Mexico-Xochimilco 101, Tlalpan, ZC 14370, Ciudad de México, Mexico
| | - Yatan Pal Singh Balhara
- National Drug Dependence Treatment Center and Department of Psychiatry, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | | | - Francine Cournos
- Departments of Epidemiology and Psychiatry, Columbia University Medical Center, 722 West 168th St, 10032, New York, NY
| | - José Alberto Del Porto
- Department of Psychiatry, Universidade Federal de São Paulo, Rua Borges Lagoa 570 - 1° andar, Vila Clementino- São Paulo-SP, 04038-000, Brazil
| | - Thomas D Meyer
- Faillace Department of Psychiatry & Behavioral Sciences, McGovern Medical School, University of Texas HSC at Houston, 1941 East Road, Houston, Texas, 77054, USA
| | - Maria-Elena Medina-Mora
- The Health Management Center, Seitoku University, 550 Iwase, Matsudo City, Chiba Prefecture, 271-8555, Japan
| | - Oye Gureje
- Department of Psychiatry, University of Ibadan, WHO Collaborating Centre for Research and Training in Mental Health, Neurosciences and Drug and Alcohol Abuse, University College Hospital, PMB, 5116 Ibadan, Nigeria
| | - Michael B First
- Department of Psychiatry, Columbia University Medical Center and New York State Psychiatric Institute, 722 West 168th St, 10032, New York, NY
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, WHO Collaborating Centre for Quality Assurance and Empowerment in Mental Health, Bergische Landstr. 2, 40629, Düsseldorf, Germany
| | - Brigitte Khoury
- Department of Psychiatry, American University of Beirut Medical Center, P.O. Box 11-0236 - Riad El Solh 1107 2020 Beirut, Lebanon
| | - Valery N Krasnov
- Moscow Research Institute of Psychiatry, Poteshnaya 3, 107076, Moscow, Russian Federation
| | - Jair de Jesus Mari
- Department of Psychiatry, Universidade Federal de São Paulo, Rua Borges Lagoa 570 - 1° andar, Vila Clementino- São Paulo-SP, 04038-000, Brazil
| | - Toshimasa Maruta
- The Health Management Center, Seitoku University, 550 Iwase, Matsudo City, Chiba Prefecture, 271-8555, Japan
| | - Kathleen M Pike
- Global Mental Health Program, Columbia University and New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA
| | - Michael C Roberts
- University of Kansas, Clinical Child Psychology Program, Dole Human Development Center, Lawrence, KS, 66045, USA
| | - Pratap Sharan
- Department of Psychiatry, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Min Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, WHO Collaborating Centre for Research and Training in Mental Health, 600 Wan Ping Nan Rd., Shanghai, 200030, People's Republic of China
| | - Geoffrey M Reed
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA, and Department of Mental Health and Substance Abuse, World Health Organization, Geneva, Switzerland
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Grover S, Ghosh A, Kate N, Sarkar S, Chakrabarti S, Avasthi A. Concordance of assessment of insight by different measures in obsessive-compulsive disorder: An outpatient-based study from India. Indian J Psychiatry 2021; 63:439-447. [PMID: 34789931 PMCID: PMC8522613 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_1380_20] [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: 12/13/2020] [Revised: 03/05/2021] [Accepted: 07/01/2021] [Indexed: 02/05/2023] Open
Abstract
AIMS This study aimed to examine the (a) prevalence of various levels of insight among patients with obsessive-compulsive disorder (OCD) and (b) correlation of insight specifier (Diagnostic and Statistical Manual [DSM]-5) and other established measures of insight in OCD. METHODS One hundred and twenty-five outpatients with a diagnosis of OCD were assessed by Brown Assessment of Beliefs Scale (BABS) and DSM-IV's insight specifier. The insight specifier of DSM-5 was determined by item one ("conviction") of BABS. Dimensional Yale-Brown Obsessive-Compulsive Severity Scale was used to assess the frequency and severity of dimensional obsessive-compulsive (OC) symptoms. RESULTS The mean age of the participants was 31.2 (±11) years. Seventy-seven (61.6%) of the participants were men. There was a high correlation (r = 0.73) between the insight specifiers of DSM-5 and DSM-IV. Insight categories of DSM-5 had modest correlations with BABS total score and BABS-based insight categories. Significant associations were observed between the level of insight and comorbid psychotic illness, hoarding and symmetry dimensions of OC symptoms, severity of depressive, and OC symptoms. The first two associations were consistent across group comparisons (insight-groups based on DSM-IV and BABS) and correlation (with total BABS score). CONCLUSIONS Majority of the patients with OCD have good insight and application of different tools influence the assessment of insight in OCD. The DSM-5 insight specifier has strong and significant correlation with the DSM-IV's insight classification and categorization of insight by BABS.
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Affiliation(s)
- Sandeep Grover
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Abhishek Ghosh
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Natasha Kate
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Siddharth Sarkar
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Subho Chakrabarti
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Ajit Avasthi
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
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Rebello TJ, Kulygina MA, Krasnov VN, Pike KM, Reed GM. Engagement of Russian Mental Health Professionals in the Development of WHO's ICD-11. CONSORTIUM PSYCHIATRICUM 2021; 2:17-22. [PMID: 39070738 PMCID: PMC11272319 DOI: 10.17816/cp79] [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] [Received: 04/26/2021] [Accepted: 04/26/2021] [Indexed: 12/19/2022] Open
Abstract
The World Health Organization (WHO) has officially approved the next version of its global diagnostic system, the International Classification of Diseases and Related Health Problems, Eleventh Revision (ICD-11). Processes to implement the ICD-11 are now underway. Developing the ICD-11 chapter on Mental, Behavioural and Neurodevelopmental Disorders, in line with WHO's core priorities to enhance the clinical utility, reliability, and global applicability of the guidelines, necessitated a large-scale scientifically-rigorous research program. Such a program of global field studies engaged mental health professionals from across the world, with substantial contributions from clinicians in the Russian Federation. This paper systematically highlights the substantive roles played by Russian clinicians in all steps of development of the mental, behavioural, and neurodevelopmental disorder guidelines, including their participation in the following: 1) early formative field studies that informed the organizing principles and overarching structure of the ICD-11; 2) large-scale online studies that used a case-controlled methodology to evaluate the guideline's clinical utility and the accuracy with which the new ICD-11 guidelines could be applied by global clinicians; 3) an online network of mental health professionals who provided direct feedback on the ICD-11 to WHO (also known as the Global Clinical Practice Network, www.globalclinicalpractice.net) with over 16,000 members from 160 countries, and with the Russian Federation being in the top five most represented countries in the network; 4) clinic-based field studies that tested the reliability and clinical utility of the ICD-11 diagnostic guidelines; and 5) development and participation in training programs that prepare clinicians in implementing the diagnostic guidelines in clinical settings. In these many ways, Russian clinicians have substantively and directly contributed to efforts to maximize the clinical usefulness, consistency, acceptability, and applicability of the ICD-11's mental, behavioural, and neurodevelopmental disorder guidelines. This substantial engagement of clinicians will conceivably facilitate the adoption and use of the guidelines by clinicians in the Russian Federation and other Russian-speaking countries, as the ICD-11 is implemented over the coming years.
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Fontenelle LF, Destrée L, Brierley ME, Thompson EM, Yücel M, Lee R, Albertella L, Chamberlain SR. The place of obsessive-compulsive and related disorders in the compulsive-impulsive spectrum: a cluster-analytic study. CNS Spectr 2021:1-10. [PMID: 33843555 PMCID: PMC7616490 DOI: 10.1017/s109285292100033x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND The extent to which obsessive-compulsive and related disorders (OCRDs) are impulsive, compulsive, or both requires further investigation. We investigated the existence of different clusters in an online nonclinical sample and in which groups DSM-5 OCRDs and other related psychopathological symptoms are best placed. METHODS Seven hundred and seventy-four adult participants completed online questionnaires including the Cambridge-Chicago Compulsivity Trait Scale (CHI-T), the Barratt Impulsiveness Scale (BIS-15), and a series of DSM-5 OCRDs symptom severity and other psychopathological measures. We used K-means cluster analysis using CHI-T and BIS responses to test three and four factor solutions. Next, we investigated whether different OCRDs symptoms predicted cluster membership using a multinomial regression model. RESULTS The best solution identified one "healthy" and three "clinical" clusters (ie, one predominantly "compulsive" group, one predominantly "impulsive" group, and one "mixed"-"compulsive and impulsive group"). A multinomial regression model found obsessive-compulsive, body dysmorphic, and schizotypal symptoms to be associated with the "mixed" and the "compulsive" clusters, and hoarding and emotional symptoms to be related, on a trend level, to the "impulsive" cluster. Additional analysis showed cognitive-perceptual schizotypal symptoms to be associated with the "mixed" but not the "compulsive" group. CONCLUSIONS Our findings suggest that obsessive-compulsive disorder; body dysmorphic disorder and schizotypal symptoms can be mapped across the "compulsive" and "mixed" clusters of the compulsive-impulsive spectrum. Although there was a trend toward hoarding being associated with the "impulsive" group, trichotillomania, and skin picking disorder symptoms did not clearly fit to the demarcated clusters.
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Affiliation(s)
- Leonardo F Fontenelle
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
- Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro (UFRJ)
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Louise Destrée
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | - Mary-Ellen Brierley
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | - Emma M Thompson
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | - Murat Yücel
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | - Rico Lee
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | - Lucy Albertella
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | - Sam R Chamberlain
- Department of Psychiatry, University of Southampton; and Department of Psychiatry, University of Cambridge, UK
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