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Sloley C, Bell C, Shipton EA, Williman J, Jarvis JL. Chronic Pain and Obsessive-Compulsive Disorder: A Scoping Review. Pain Ther 2025; 14:513-587. [PMID: 39903371 PMCID: PMC11914481 DOI: 10.1007/s40122-024-00704-4] [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: 11/29/2024] [Accepted: 12/24/2024] [Indexed: 02/06/2025] Open
Abstract
INTRODUCTION The aim of this study was to map the association between Chronic Pain (CP) and Obsessive-Compulsive Disorder (OCD) in the present literature. METHODS A scoping review was conducted with a comprehensive search of literature in peer-reviewed journals. Search parameters included articles written in English, published at any time, and including terms associated with both CP and OCD. Databases searched for purposes of this study included Psychinfo, Medline, Embase, Emcare, CINAHL, Scopus, Web of Science, Cochrane, and Google Scholar. RESULTS The review included 87 records, comprising 49 primary research and 38 secondary research records. Extracted information from these were grouped into four broad classifications. The Prevalence and Severity classification included information from 39 records which comprised: (1) primary research detailing current OCD prevalence rates in CP conditions (differentiated between general population and Pain/Medical/Hospital clinics); (2) primary research detailing lifetime OCD prevalence rates in CP conditions; (3) primary research detailing CP prevalence rates in OCD; (4) primary research detailing relationships between OCD and CP through psychometric measures; and (5) secondary research relating to prevalence rates. The Neurobiology classification included information from 28 records (primary and secondary research) detailing convergent and divergent neurobiological/neurophysiological aspects as reported for both OCD and CP. The Psychological Models/Factors classification included information from 7 records (primary and secondary research) detailing pain-related anxiety, neuropsychological measures, catastrophic thinking, preservative thinking, early maladaptive schemas, schema modes, childhood trauma experiences, and conditional associative learning, as reported for OCD and CP. The Intervention classification included information from 32 records which comprised: (1) primary research on neurosurgical, medication, and psychotherapeutic interventions; (2) secondary research on Deep Brain Stimulation; (3) secondary research on Medication; (4) secondary research on lesion, cingulotomy, and other surgical procedures; and (5) secondary research on other interventional procedures. CONCLUSION While there has been considerable and growing research in the fields of both OCD and CP over the years, focused research into their potential association has been limited and potentially overlooked. The results of this review, however, suggest a complex relationship between CP and OCD. Prevalence rates between the two conditions vary widely across different populations, although the underlying reason for this remains unclear at this stage. There are commonalities in terms of alterations in pain processing, the dysregulation of certain brain regions, and the abnormalities in neurotransmitter systems in both conditions. In their treatment, use can be made of overlapping pathophysiological processes, the convergent and divergent psychological aspects, and the range of interventional approaches that share targets to promote efficacy. However, the complex presentations of both OCD and CP make it a challenging relationship to accurately clarify. Further directed and robust, high-quality studies will be needed to expand our understanding of this area.
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Affiliation(s)
- Chad Sloley
- Department of Anaesthesia, University of Otago, Christchurch, Canterbury, New Zealand.
| | - Caroline Bell
- Department of Psychological Medicine, University of Otago, Christchurch, Canterbury, New Zealand
| | - Edward A Shipton
- Department of Anaesthesia, University of Otago, Christchurch, Canterbury, New Zealand
| | - Jonathan Williman
- Department of Population Health, University of Otago, Christchurch, Canterbury, New Zealand
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Holmberg A, Pol-Fuster J, Kuja-Halkola R, Larsson H, Lichtenstein P, Chang Z, D'Onofrio BM, Brikell I, Sidorchuk A, Isomura K, Crowley JJ, Martinsson L, Rück C, Mataix-Cols D, Fernández de la Cruz L. Multigenerational family coaggregation study of obsessive-compulsive disorder and cardiometabolic disorders. BMJ MENTAL HEALTH 2025; 28:e301323. [PMID: 39832837 PMCID: PMC11751958 DOI: 10.1136/bmjment-2024-301323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Accepted: 12/27/2024] [Indexed: 01/22/2025]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is associated with an increased risk of morbidity and mortality due to cardiometabolic disorders. Whether this association is driven by familial factors is unknown. This population-based family study explored the familial co-aggregation of OCD and cardiometabolic disorders. METHODS We identified 6 049 717 individuals born in Sweden between 1950 and 2008, including 50 212 individuals with OCD, and followed them up to 2020. These individuals were linked to their mothers, fathers, full siblings, maternal and paternal half siblings, aunts, uncles and cousins. We estimated the risk of cardiovascular diseases (CVD) and metabolic disorders (including obesity, type 2 diabetes and hyperlipidaemia), comparing the relatives of probands with and without OCD. Cox proportional hazards regression models, incorporating time-varying exposures, estimated HRs. RESULTS OCD was associated with an increased risk of CVD (HR 1.47; 95% CI 1.43 to 1.51), obesity (HR 1.69; 95% CI 1.63 to 1.74), type 2 diabetes (HR 2.01; 95% CI 1.90 to 2.12) and hyperlipidaemia (HR 1.42; 95% CI 1.33 to 1.52). The relatives of probands with OCD exhibited small increased risks of CVD (HRs from 1.01 to 1.11) and obesity (HRs from 1.03 to 1.20). Slightly increased risks for type 2 diabetes were observed in mothers (HR 1.11; 95% CI 1.07 to 1.15) and full siblings (HR 1.12; 95% CI 1.05 to 1.20), while for hyperlipidaemia it was only observed in mothers (HR 1.06; 95% CI 1.02 to 1.10). CONCLUSIONS Our results do not support a major contribution of familial factors to the association between OCD and cardiometabolic disorders, suggesting a more prominent role of unique environmental factors.
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Affiliation(s)
- Anna Holmberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Josep Pol-Fuster
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Zheng Chang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Brian M D'Onofrio
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA
| | - Isabell Brikell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Anna Sidorchuk
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Kayoko Isomura
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - James J Crowley
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Lina Martinsson
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - David Mataix-Cols
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Lorena Fernández de la Cruz
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
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Ramakrishnan D, Farhat LC, Vattimo EFQ, Levine JLS, Johnson JA, Artukoglu BB, Landeros-Weisenberger A, Zangen A, Pelissolo A, de B Pereira CA, Rück C, Costa DLC, Mataix-Cols D, Shannahoff-Khalsa D, Tolin DF, Zarean E, Meyer E, Hawken ER, Storch EA, Andersson E, Miguel EC, Maina G, Leckman JF, Sarris J, March JS, Diniz JB, Kobak K, Mallet L, Vulink NCC, Amiaz R, Fernandes RY, Shavitt RG, Wilhelm S, Golshan S, Tezenas du Montcel S, Erzegovesi S, Baruah U, Greenberg WM, Kobayashi Y, Bloch MH. An evaluation of treatment response and remission definitions in adult obsessive-compulsive disorder: A systematic review and individual-patient data meta-analysis. J Psychiatr Res 2024; 173:387-397. [PMID: 38598877 DOI: 10.1016/j.jpsychires.2024.03.044] [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: 07/23/2023] [Revised: 03/18/2024] [Accepted: 03/25/2024] [Indexed: 04/12/2024]
Abstract
INTRODUCTION Expert consensus operationalized treatment response and remission in obsessive-compulsive disorder (OCD) as a Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) reduction ≥35% and score ≤12 with ≤2 on Clinical Global Impressions Improvement (CGI-I) and Severity (CGI-S) scales, respectively. However, there has been scant empirical evidence supporting these definitions. METHODS We conducted a systematic review and an individual participant data meta-analysis of randomized-controlled trials (RCTs) in adults with OCD to determine optimal Y-BOCS thresholds for response and remission. We estimated pooled sensitivity/specificity for each percent reduction threshold (response) or posttreatment score (remission) to determine response and remission defined by a CGI-I and CGI-S ≤ 2, respectively. RESULTS Individual participant data from 25 of 94 eligible RCTs (1235 participants) were included. The optimal threshold for response was ≥30% Y-BOCS reduction and for remission was ≤15 posttreatment Y-BOCS. However, differences in sensitivity and specificity between the optimal and nearby thresholds for response and remission were small with some uncertainty demonstrated by the confidence ellipses. CONCLUSION While the empirically derived Y-BOCS thresholds in our meta-analysis differ from expert consensus, given the predominance of data from more recent trials of OCD, which involved more refractory participants and novel treatment modalities as opposed to first-line therapies, we recommend the continued use of the consensus definitions.
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Affiliation(s)
| | - Luis C Farhat
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Edoardo F Q Vattimo
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | | | - Jessica A Johnson
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Bekir B Artukoglu
- Department of Child and Adolescent Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | | | - Abraham Zangen
- Department of Life Sciences and the Zelman Center for Neuroscience, Ben Gurion University, Be'er Sheva, Israel
| | - Antoine Pelissolo
- Psychiatry Department, Henri-Mondor University Hospitals, Faculty of Medicine, Créteil, France
| | - Carlos A de B Pereira
- Mathematics and Statistics Institute, Statistics Department, University of São Paulo, São Paulo, Brazil
| | - Christian Rück
- Department of Clinical Neuroscience, Division of Psychology, Karolinska Institutet, Stockholm, Sweden
| | - Daniel L C Costa
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Division of Psychology, Karolinska Institutet, Stockholm, Sweden
| | - David Shannahoff-Khalsa
- The Research Group for Mind-Body Dynamics, BioCircuits Institute and Center for Integrative Medicine, University of California San Diego, CA, USA; The Khalsa Foundation for Medical Science, Del Mar, CA, USA
| | - David F Tolin
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; The Institute of Living, Hartford, CT, USA
| | - Elham Zarean
- Department of Psychiatry, School of Medicine, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Elisabeth Meyer
- Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Emily R Hawken
- Department of Psychiatry, Queen's University, Kingston, Ontario, Canada
| | - Eric A Storch
- Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Erik Andersson
- Department of Clinical Neuroscience, Division of Psychology, Karolinska Institutet, Stockholm, Sweden
| | - Euripedes C Miguel
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Giuseppe Maina
- Rita Levi Montalcini Department of Neuroscience, University of Turin, Turin, Italy
| | - James F Leckman
- Child Study Center, Department of Pediatrics and Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Jerome Sarris
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia; NICM Health Research Institute, Western Sydney University, NSW, Australia
| | - John S March
- Department of Psychiatry and Behavioral Sciences, Duke School of Medicine, Durham, NC, USA
| | - Juliana B Diniz
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | | | - Luc Mallet
- Medical-University Department of Psychiatry and Addictology, Henri Mondor - Albert Chenevier University Hospitals, Créteil, France
| | - Nienke C C Vulink
- The Rudolf Magnus Institute of Neuroscience, Department of Psychiatry, University Medical Center Utrecht (UMCU), Utrecht, the Netherlands
| | | | - Rodrigo Yacubian Fernandes
- The National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Department of Psychiatry, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Roseli G Shavitt
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Sabine Wilhelm
- OCD and Related Disorders Program, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Shahrokh Golshan
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Sophie Tezenas du Montcel
- Sorbonne Universite, Institut du Cerveau Paris Brain Institute-ICM, Inserm, CNRS, AP-HP, Inria Aramis project-team, Paris, France
| | - Stefano Erzegovesi
- Department of Neurosciences, Eating Disorders Unit, IRCCS San Raffaele, Milano, Italy
| | - Upasana Baruah
- Department of Psychiatric Social Work, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | | | - Yuki Kobayashi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Michael H Bloch
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
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Ouanes S, Hashem LA, Makki I, Khan F, Mahgoub O, Wafer A, Dulaimy O, Amro R, Ghuloum S. Mortality in Qatari individuals with mental illness: a retrospective cohort study. Ann Gen Psychiatry 2024; 23:14. [PMID: 38637811 PMCID: PMC11027414 DOI: 10.1186/s12991-024-00499-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 03/25/2024] [Indexed: 04/20/2024] Open
Abstract
INTRODUCTION There is substantial evidence that people with mental illness have higher mortality rates than the general population. However, most of the studies were from Western countries, and it is not clear whether this finding also applies to Arab countries like Qatar. OBJECTIVES We aimed to explore whether mortality in patients with mental illness in Qatar, is different from those without. METHODS We conducted a retrospective cohort study, including all Qatari nationals deceased in 2017 and 2018, using the list of registered deaths from Hamad Medical Corporation (HMC) Mortuary. We divided the cohort of deceased people into two groups: with and without mental illness. For each of the groups, we collected the age at death, the reported cause of death as well as sociodemographic and clinical data. RESULTS There were 602 registered deaths in 2017 and 589 deaths in 2018. The prevalence of mental illness was 20.4%. Compared to subjects without mental illness, subjects with mental illness surprisingly had higher age at death (median ± IQR = 76.5 ± 22.1 years vs. 62.7 ± 32.9 years; p < .001). This difference persisted even after we controlled for covariates. Individuals with mental illness were more likely to die of an infection (OR = 1.98[1.44;2.71]), or of chronic respiratory disease (OR = 3.53 [1.66;7.52]) but less likely to die because of accidental (OR = 0.21[0.09;0.49]) or congenital causes (OR = 0.18[0.04;0.77]). CONCLUSION Contrary to most previous studies, we did not find that mortality was higher in Qatari individuals with mental illness. Sociocultural factors, free and easy-to-access healthcare, and an enhanced role of mental health professionals in detecting medical comorbidities may explain this finding.
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Affiliation(s)
- Sami Ouanes
- Department of Psychiatry, Hamad Medical Corporation, POBOX 3050, Doha, Qatar
| | - Lien Abou Hashem
- Department of Psychiatry, Hamad Medical Corporation, POBOX 3050, Doha, Qatar
| | - Ibrahim Makki
- Department of Psychiatry, Hamad Medical Corporation, POBOX 3050, Doha, Qatar
| | - Faisal Khan
- Department of Psychiatry, Hamad Medical Corporation, POBOX 3050, Doha, Qatar
| | - Omer Mahgoub
- Department of Psychiatry, Hamad Medical Corporation, POBOX 3050, Doha, Qatar
| | - Ahmed Wafer
- Department of Psychiatry, Hamad Medical Corporation, POBOX 3050, Doha, Qatar
| | - Omer Dulaimy
- Department of Psychiatry, Hamad Medical Corporation, POBOX 3050, Doha, Qatar
| | - Raed Amro
- Department of Psychiatry, Hamad Medical Corporation, POBOX 3050, Doha, Qatar
| | - Suhaila Ghuloum
- Department of Psychiatry, Hamad Medical Corporation, POBOX 3050, Doha, Qatar.
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Holmberg A, Martinsson L, Lidin M, Rück C, Mataix-Cols D, Fernández de la Cruz L. General somatic health and lifestyle habits in individuals with obsessive- compulsive disorder: an international survey. BMC Psychiatry 2024; 24:98. [PMID: 38317127 PMCID: PMC10840209 DOI: 10.1186/s12888-024-05566-w] [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: 06/28/2023] [Accepted: 01/29/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) has been associated with a broad range of health-related issues. Unhealthy lifestyle habits such as physical inactivity, an unhealthy diet, smoking, and alcohol consumption are hypothesized to contribute to this association. However, the lifestyle habits of individuals with OCD have been scarcely investigated. In this international survey, we explored the physical health and lifestyle habits of adults with a self-reported diagnosis of OCD. METHODS An online global survey available in seven languages was disseminated through interest organizations and social media between July 2021 and March 2022. The survey included questions relating to socio-demographic variables and clinical characteristics (including OCD symptom severity - as measured with the 12-item self-report scale Obsessive-Compulsive Inventory [OCI-12] - and psychotropic medication), physical health, and lifestyle habits. Frequencies and percentages, or means and standard deviations, as appropriate, were calculated. Subgroup analyses by OCD symptom severity, gender, and age group were performed. RESULTS A total of 496 individuals with OCD completed the survey and were included in the analyses (mean age = 36.0 years, SD = 12.5, range 18-79; 78.8% women). Most participants were from Europe (n = 245, 49.4%) and North America (n = 187, 37.7%). OCD symptom severity scores were on the moderate range (OCI-12 mean score = 21.2, SD = 9.1). A majority (n = 354, 71.4%) reported having comorbid somatic health issues, mainly allergies, gastrointestinal conditions, and cardiometabolic conditions. Nearly half of the sample (n = 236, 47.6%) reported a body mass index ≥ 25, corresponding to at least overweight. A significant proportion of the participants reported low physical activity (n = 271, 55.0%), unhealthy dietary habits (n = 182, 36.7%), risk consumption of alcohol (n = 111, 22.3%), and non-restorative sleep (n = 268, 54.0%). Subgroup analyses showed overall similar results across groups, with some exceptions. CONCLUSIONS In this sample, individuals with OCD self-reported a range of health-related issues and a number of unhealthy lifestyle behaviors, most prominently a lack of physical activity. Interventions aimed at modifying unhealthy lifestyles to prevent or improve health conditions beyond the psychiatric symptoms should be considered.
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Affiliation(s)
- Anna Holmberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Gävlegatan 22B, 8th floor, Stockholm, 113 30, Sweden.
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
| | - Lina Martinsson
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Gävlegatan 22B, 8th floor, Stockholm, 113 30, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Matthias Lidin
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Department of Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Heart, Vascular and Neuro Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Gävlegatan 22B, 8th floor, Stockholm, 113 30, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - David Mataix-Cols
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Gävlegatan 22B, 8th floor, Stockholm, 113 30, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Lorena Fernández de la Cruz
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Gävlegatan 22B, 8th floor, Stockholm, 113 30, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
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Fernández de la Cruz L, Isomura K, Lichtenstein P, Larsson H, Kuja-Halkola R, Chang Z, D'Onofrio BM, Brikell I, Rück C, Sidorchuk A, Mataix-Cols D. All cause and cause specific mortality in obsessive-compulsive disorder: nationwide matched cohort and sibling cohort study. BMJ 2024; 384:e077564. [PMID: 38233033 PMCID: PMC10792686 DOI: 10.1136/bmj-2023-077564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/22/2023] [Indexed: 01/19/2024]
Abstract
OBJECTIVE To estimate the risk of all cause and cause specific mortality in people with obsessive-compulsive disorder (OCD) compared with matched unaffected people from the general population and with their unaffected siblings. DESIGN Population based matched cohort and sibling cohort study. SETTING Register linkage in Sweden. PARTICIPANTS Population based cohort including 61 378 people with OCD and 613 780 unaffected people matched (1:10) on sex, birth year, and county of residence; sibling cohort consisting of 34 085 people with OCD and 47 874 unaffected full siblings. Cohorts were followed up for a median time of 8.1 years during the period from 1 January 1973 to 31 December 2020. MAIN OUTCOME MEASURES All cause and cause specific mortality. RESULTS 4787 people with OCD and 30 619 unaffected people died during the study period (crude mortality rate 8.1 and 5.1 per 1000 person years, respectively). In stratified Cox proportional hazards models adjusted for birth year, sex, county, migrant status (born in Sweden versus abroad), and sociodemographic variables (latest recorded education, civil status, and family income), people with OCD had an increased risk of all cause mortality (hazard ratio 1.82, 95% confidence interval 1.76 to 1.89) and mortality due to natural causes (1.31, 1.27 to 1.37) and unnatural causes (3.30, 3.05 to 3.57). Among the natural causes of death, those due to endocrine, nutritional, and metabolic diseases, mental and behavioural disorders, and diseases of the nervous, circulatory, respiratory, digestive, and genitourinary systems were higher in the OCD cohort. Conversely, the risk of death due to neoplasms was lower in the OCD cohort compared with the unaffected cohort. Among the unnatural causes, suicide showed the highest hazard ratio, followed by accidents. The results were robust to adjustment for psychiatric comorbidities and familial confounding. CONCLUSIONS Non-communicable diseases and external causes of death, including suicides and accidents, were major contributors to the risk of mortality in people with OCD. Better surveillance, prevention, and early intervention strategies should be implemented to reduce the risk of fatal outcomes in people with OCD.
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Affiliation(s)
- Lorena Fernández de la Cruz
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, SE-11330 Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Kayoko Isomura
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, SE-11330 Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Zheng Chang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Brian M D'Onofrio
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Isabell Brikell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, SE-11330 Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Anna Sidorchuk
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, SE-11330 Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - David Mataix-Cols
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, SE-11330 Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Department of Clinical Sciences, Lund University, Lund, Sweden
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7
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Xu Y, Han S, Wei Y, Zheng R, Cheng J, Zhang Y. Abnormal resting-state effective connectivity in large-scale networks among obsessive-compulsive disorder. Psychol Med 2024; 54:350-358. [PMID: 37310178 DOI: 10.1017/s0033291723001228] [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] [Indexed: 06/14/2023]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a chronic mental illness characterized by abnormal functional connectivity among distributed brain regions. Previous studies have primarily focused on undirected functional connectivity and rarely reported from network perspective. METHODS To better understand between or within-network connectivities of OCD, effective connectivity (EC) of a large-scale network is assessed by spectral dynamic causal modeling with eight key regions of interests from default mode (DMN), salience (SN), frontoparietal (FPN) and cerebellum networks, based on large sample size including 100 OCD patients and 120 healthy controls (HCs). Parametric empirical Bayes (PEB) framework was used to identify the difference between the two groups. We further analyzed the relationship between connections and Yale-Brown Obsessive Compulsive Scale (Y-BOCS). RESULTS OCD and HCs shared some similarities of inter- and intra-network patterns in the resting state. Relative to HCs, patients showed increased ECs from left anterior insula (LAI) to medial prefrontal cortex, right anterior insula (RAI) to left dorsolateral prefrontal cortex (L-DLPFC), right dorsolateral prefrontal cortex (R-DLPFC) to cerebellum anterior lobe (CA), CA to posterior cingulate cortex (PCC) and to anterior cingulate cortex (ACC). Moreover, weaker from LAI to L-DLPFC, RAI to ACC, and the self-connection of R-DLPFC. Connections from ACC to CA and from L-DLPFC to PCC were positively correlated with compulsion and obsession scores (r = 0.209, p = 0.037; r = 0.199, p = 0.047, uncorrected). CONCLUSIONS Our study revealed dysregulation among DMN, SN, FPN, and cerebellum in OCD, emphasizing the role of these four networks in achieving top-down control for goal-directed behavior. There existed a top-down disruption among these networks, constituting the pathophysiological and clinical basis.
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Affiliation(s)
- Yinhuan Xu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Ivanova E, Fondberg R, Flygare O, Sannemalm M, Asplund S, Dahlén S, Sampaio F, Andersson E, Mataix-Cols D, Ivanov VZ, Rück C. Study protocol for a single-blind, parallel-group, randomised, controlled non-inferiority trial of 4-day intensive versus standard cognitive behavioural therapy for adults with obsessive-compulsive disorder. BMJ Open 2023; 13:e076361. [PMID: 38101824 PMCID: PMC10729159 DOI: 10.1136/bmjopen-2023-076361] [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: 06/05/2023] [Accepted: 10/31/2023] [Indexed: 12/17/2023] Open
Abstract
INTRODUCTION Individual cognitive behavioural therapy (CBT) with exposure and response prevention is an effective treatment for obsessive-compulsive disorder (OCD). However, individual CBT is costly and time-consuming, requiring weekly therapy sessions for 3-4 months. A 4-day intensive version of CBT for OCD delivered in group format has been recently developed in Norway (Bergen 4-day treatment, B4DT). B4DT has shown promising results in several uncontrolled and one small, randomised trial, but its non-inferiority to the gold standard treatment has not been established. METHODS AND ANALYSIS This single-blind, randomised controlled trial including 120 patients (60 per arm) will compare B4DT to individual CBT. The primary outcome is the blind assessor-rated Yale-Brown Obsessive Compulsive Scale (Y-BOCS). We hypothesise that B4DT will be non-inferior to gold standard CBT 15 weeks after treatment start. The non-inferiority margin is set at four points on the Y-BOCS. Secondary outcomes include time to treatment response, cost-effectiveness, response and remission rates, drop-out rates and adverse events. ETHICS AND DISSEMINATION This study has been approved by the Swedish Ethical Review Authority. Hypotheses were specified and analysis code published before data collection started. Results from all analyses will be reported in accordance with the Consolidated Standards of Reporting Trials statement for non-pharmacological trials and Consolidated Health Economic Evaluation Reporting Standards irrespective of outcome. TRIAL REGISTRATION NUMBER NCT05608278.
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Affiliation(s)
- Ekaterina Ivanova
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
| | - Robin Fondberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Oskar Flygare
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
| | - Max Sannemalm
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
| | - Sofia Asplund
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Sofia Dahlén
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Filipa Sampaio
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Erik Andersson
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - David Mataix-Cols
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Volen Z Ivanov
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
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9
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Khalkhali M, Rasekh K, Eslamdoust-Siahestalkhi F, Farrahi H, Zare R. Metabolic syndrome in patients with obsessive-compulsive disorder. Front Psychiatry 2023; 14:1164750. [PMID: 37649560 PMCID: PMC10464910 DOI: 10.3389/fpsyt.2023.1164750] [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: 02/18/2023] [Accepted: 06/15/2023] [Indexed: 09/01/2023] Open
Abstract
Objective Metabolic syndrome (MetS) is a collection of chemical and clinical risk factors. Patients with obsessive-compulsive disorder (OCD) might be at risk of MetS. This study aimed to investigate the prevalence and clinical correlates of MetS in an Iranian clinical sample of patients with OCD. Methods We included 107 patients with OCD in a cross-sectional study. Demographic and clinical characteristics including OC symptoms, duration of treatment, age of onset, medications history, and comorbidity with other psychiatric disorders were collected. Results The prevalence of MetS was 39.2%. Abdominal obesity was the most frequent component of MetS (68.2%), followed by low high-density lipoprotein cholesterol (50.5%). High serum triglycerides, high fasting serum glucose, high systolic blood pressure, and high diastolic blood pressure were observed in 47.7, 20.6, 18.7, and 9.3% of patients, respectively. Patients with MetS were older, married, had a low education level, had a high body mass index, and had no aggressive OC symptoms. MetS was not associated with psychiatric disorders comorbidities, age of onset, and duration of treatment. Conclusion The results of this study were in line with the results of other studies that reported the poor health status of patients with OCD. A large number of patients are affected or are at risk of developing MetS. These patients need medical care along with the usual OCD treatments.
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Affiliation(s)
- Mohammadrasoul Khalkhali
- Kavosh Cognitive Behavior Sciences and Addiction Research Center, Department of Psychiatry, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Kiarash Rasekh
- Kavosh Cognitive Behavior Sciences and Addiction Research Center, Department of Psychiatry, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Fatemeh Eslamdoust-Siahestalkhi
- Kavosh Cognitive Behavior Sciences and Addiction Research Center, Department of Psychiatry, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Hassan Farrahi
- Kavosh Cognitive Behavior Sciences and Addiction Research Center, Department of Psychiatry, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Roghaye Zare
- Neuroscience Research Center, Guilan University of Medical Sciences, Rasht, Iran
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10
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Mataix-Cols D, Fernández de la Cruz L, De Schipper E, Kuja-Halkola R, Bulik CM, Crowley JJ, Neufeld J, Rück C, Tammimies K, Lichtenstein P, Bölte S, Beucke JC. In search of environmental risk factors for obsessive-compulsive disorder: study protocol for the OCDTWIN project. BMC Psychiatry 2023; 23:442. [PMID: 37328750 PMCID: PMC10273515 DOI: 10.1186/s12888-023-04897-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 05/22/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND The causes of obsessive-compulsive disorder (OCD) remain unknown. Gene-searching efforts are well underway, but the identification of environmental risk factors is at least as important and should be a priority because some of them may be amenable to prevention or early intervention strategies. Genetically informative studies, particularly those employing the discordant monozygotic (MZ) twin design, are ideally suited to study environmental risk factors. This protocol paper describes the study rationale, aims, and methods of OCDTWIN, an open cohort of MZ twin pairs who are discordant for the diagnosis of OCD. METHODS OCDTWIN has two broad aims. In Aim 1, we are recruiting MZ twin pairs from across Sweden, conducting thorough clinical assessments, and building a biobank of biological specimens, including blood, saliva, urine, stool, hair, nails, and multimodal brain imaging. A wealth of early life exposures (e.g., perinatal variables, health-related information, psychosocial stressors) are available through linkage with the nationwide registers and the Swedish Twin Registry. Blood spots stored in the Swedish phenylketonuria (PKU) biobank will be available to extract DNA, proteins, and metabolites, providing an invaluable source of biomaterial taken at birth. In Aim 2, we will perform within-pair comparisons of discordant MZ twins, which will allow us to isolate unique environmental risk factors that are in the causal pathway to OCD, while strictly controlling for genetic and early shared environmental influences. To date (May 2023), 43 pairs of twins (21 discordant for OCD) have been recruited. DISCUSSION OCDTWIN hopes to generate unique insights into environmental risk factors that are in the causal pathway to OCD, some of which have the potential of being actionable targets.
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Affiliation(s)
- David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
- Department of Clinical Sciences, Lund University, Lund, Sweden.
| | - Lorena Fernández de la Cruz
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Elles De Schipper
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Cynthia M Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James J Crowley
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Janina Neufeld
- Center of Neurodevelopmental Disorders at Karolinska Institutet (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
- Swedish Collegium for Advanced Study (SCAS), Uppsala, Sweden
| | - Christian Rück
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Kristiina Tammimies
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Center of Neurodevelopmental Disorders at Karolinska Institutet (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
- Astrid Lindgren Children's Hospital, Karolinska University Hospital, Region Stockholm, Solna, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sven Bölte
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Center of Neurodevelopmental Disorders at Karolinska Institutet (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
- Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, Perth, WA, Australia
| | - Jan C Beucke
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
- Institute for Systems Medicine, Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
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11
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Mataix-Cols D, de la Cruz LF, de Schipper E, Kuja-Halkola R, Bulik CM, Crowley JJ, Neufeld J, Rück C, Tammimies K, Lichtenstein P, Bölte S, Beucke JC. In search of environmental risk factors for obsessive-compulsive disorder: Study protocol for the OCDTWIN project. RESEARCH SQUARE 2023:rs.3.rs-2897566. [PMID: 37215041 PMCID: PMC10197758 DOI: 10.21203/rs.3.rs-2897566/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Background The causes of obsessive-compulsive disorder (OCD) remain unknown. Gene-searching efforts are well underway, but the identification of environmental risk factors is at least as important and should be a priority because some of them may be amenable to prevention or early intervention strategies. Genetically informative studies, particularly those employing the discordant monozygotic (MZ) twin design, are ideally suited to study environmental risk factors. This protocol paper describes the study rationale, aims, and methods of OCDTWIN, an open cohort of MZ twin pairs who are discordant for the diagnosis of OCD. Methods OCDTWIN has two broad aims. In Aim 1, we are recruiting MZ twin pairs from across Sweden, conducting thorough clinical assessments, and building a biobank of biological specimens, including blood, saliva, urine, stool, hair, nails, and multimodal brain imaging. A wealth of early life exposures (e.g., perinatal variables, health-related information, psychosocial stressors) are available through linkage with the nationwide registers and the Swedish Twin Registry. Blood spots stored in the Swedish phenylketonuria (PKU) biobank will be available to extract DNA, proteins, and metabolites, providing an invaluable source of biomaterial taken at birth. In Aim 2, we will perform within-pair comparisons of discordant MZ twins, which will allow us to isolate unique environmental risk factors that are in the causal pathway to OCD, while strictly controlling for genetic and early shared environmental influences. To date (May 2023), 43 pairs of twins (21 discordant for OCD) have been recruited. Discussion OCDTWIN hopes to generate unique insights into environmental risk factors that are in the causal pathway to OCD, some of which have the potential of being actionable targets.
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Lauri KO, Andersson E, Mataix-Cols D, Norlin L, Eriksson V, Melin K, Lenhard F, Serlachius E, Aspvall K. Long-term effect of stepped-care vs in-person cognitive behavioral therapy for pediatric obsessive-compulsive disorder. Internet Interv 2023; 32:100613. [PMID: 37033903 PMCID: PMC10073887 DOI: 10.1016/j.invent.2023.100613] [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: 12/01/2022] [Revised: 03/10/2023] [Accepted: 03/11/2023] [Indexed: 03/18/2023] Open
Abstract
Long-term follow-up data from trials of digital mental health interventions are rare. This study reports 2-year follow-up data from a non-inferiority trial (N = 152) comparing stepped-care (internet-delivered cognitive behavioral therapy [CBT] followed by traditional in-person CBT if needed) vs in-person CBT for pediatric obsessive-compulsive disorder. Both treatment groups had comparable long-term effects, with the majority of participants being responders (stepped-care 66 %; in-person CBT 71 %) 2 years after the end of treatment.
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Abstract
Obsessive-compulsive disorder (OCD) is characterized by time-consuming, distressing, or impairing obsessions and compulsions. Obsessions are recurrent, persistent, and intrusive thoughts, urges, or images. Compulsions are repetitive and often ritualized behaviors or mental acts performed to manage obsession-related distress or prevent harm. OCD affects 1% to 3% of the population, typically begins during adolescence or early adulthood, and can have a chronic or deteriorating course in the absence of effective treatment.
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Affiliation(s)
- Matti Cervin
- Department of Clinical Sciences, Lund, Child and Adolescent Psychiatry, Faculty of Medicine, Lund University, Sofiavägen 2D, Lund SE-22241, Sweden.
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Sideli L, Santoro G, Fontana A, Guglielmucci F, Caretti V, Schimmenti A. The Relationship Between Obsessive-Compulsive Symptoms and Dissociation: A Systematic Review and Meta-Analysis. J Trauma Dissociation 2023; 24:362-379. [PMID: 36820493 DOI: 10.1080/15299732.2023.2181477] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
This systematic review and meta-analysis aimed to investigate the relationship between dissociation and obsessive-compulsive symptoms (OCS) and disorder (OCD). Specifically, the study aimed to (a) estimate the pooled prevalence of dissociative disorders among individuals with OCD; (b) systematically review the prevalence of OCD among individuals with dissociative disorders; (c) compare the severity of dissociative symptoms between individuals with OCD and non-clinical controls; (d) estimate the association between OCS and dissociative symptoms in the clinical and non-clinical populations. A systematic search was carried out in biomedical databases from inception to January 2022 according to PRISMA guidelines. A total of 41 studies met inclusion criteria (n = 9,438, 34.3% males). The pooled prevalence of dissociative disorders in adult samples with OCD was 8% (95% CI [3, 15], k = 5). Studies on adolescent and adult patients with dissociative disorders found that 17-32% reported comorbid OCD, while a prospective study of patients with early-onset dissociative disorders found no evidence of association with OCD. Individuals affected by OCD reported more dissociative symptoms than non-clinical controls (g = .67, 95% CI [.18, 1.16], k = 9). A moderate correlation between dissociative symptoms and OCS was detected (r = .43, 95% CI [.36, .51], k = 18). Sensitivity analyses showed small/moderate correlations between dissociative experiences and specific types of obsessions and compulsions. Findings suggest that dissociative symptoms are moderately related to OCS in both clinical and non-clinical populations. Interventions aimed to reduce dissociation might improve treatment response of patients suffering from OCD.
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Affiliation(s)
- Lucia Sideli
- Department of Human Science, LUMSA University, Rome, Italy
| | - Gianluca Santoro
- Faculty of Human and Social Sciences, UKE - Kore University of Enna, Enna, Italy
| | - Andrea Fontana
- Department of Human Science, LUMSA University, Rome, Italy
| | - Fanny Guglielmucci
- Department of Philosophy, Communication and Arts, University of Rome 3, Roma, Italy
| | | | - Adriano Schimmenti
- Faculty of Human and Social Sciences, UKE - Kore University of Enna, Enna, Italy
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Conradi-Hünerman-Happle Syndrome and Obsessive-Compulsive Disorder: a clinical case report. BMC Psychiatry 2023; 23:87. [PMID: 36747187 PMCID: PMC9900547 DOI: 10.1186/s12888-023-04579-1] [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: 11/05/2022] [Accepted: 01/31/2023] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Obsessive-Compulsive Disorder (OCD) is a common and chronic psychiatric disorder with significant morbidity characterized by intrusive, uncontrollable and reoccurring thoughts (i.e., obsessions) and/or ritualistic behaviours (i.e., compulsions). Conradi-Hünerman-Happle Syndrome (CHHS) is a rare inherited X-linked dominant variant of chondrodysplasia punctata, a heterogeneous group of rare bone dysplasias characterized by punctate epiphyseal calcifications of complex etiology and pathophysiology that remain to be defined. Available literature reveals a lacuna in regards to the coexistence of the entities with no clinical reports described. CASE PRESENTATION A 12 year old female patient with diagnosis of CHHS, presents to psychiatric consultation due to aggravation of her OCD clinical picture, with aggravation of hand-washing frequency during the Covid-19 pandemic with significant functional impact. Psychopharmacological treatment aimed at OCD with Selective Serotonin Reuptake Inhibitor (SSRI) and antipsychotic was instituted with favourable, albeit partial response. CONCLUSIONS The authors aim to describe a clinical case in which the patient presents with Conradi-Hünerman-Happle Syndrome and Obsessive-Compulsive Disorder. Clinical descriptions of CHHS and OCD are not available in the literature. Through this case description the authors aim to present a rare case as well as discuss an eventual association between etiology and/or pathophysiology of the two disorders.
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