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Gooding P, Haddock G, Harris K, Asriah M, Awenat Y, Cook L, Drake RJ, Emsley R, Huggett C, Jones S, Lobban F, Marshall P, Pratt D, Peters S. The interplay between suicidal experiences, psychotic experiences and interpersonal relationships: a qualitative study. BMC Psychiatry 2023; 23:873. [PMID: 38001403 PMCID: PMC10668454 DOI: 10.1186/s12888-023-05164-2] [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: 05/11/2023] [Accepted: 09/04/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Suicidal thoughts, acts, plans and deaths are considerably more prevalent in people with non-affective psychosis, including schizophrenia, compared to the general population. Social isolation and interpersonal difficulties have been implicated in pathways which underpin suicidal experiences in people with severe mental health problems. However, the interactions between psychotic experiences, such as hallucinations and paranoia, suicidal experiences, and the presence, and indeed, absence of interpersonal relationships is poorly understood and insufficiently explored. The current study sought to contribute to this understanding. METHODS An inductive thematic analysis was conducted on transcripts of 22, individual, semi-structured interviews with adult participants who had both non-affective psychosis and recent suicidal experiences. A purposive sampling strategy was used. Trustworthiness of the analysis was assured with researcher triangulation. RESULTS Participants relayed both positive and negative experiences of interpersonal relationships. A novel conceptual model is presented reflecting a highly complex interplay between a range of different suicidal experiences, psychosis, and aspects of interpersonal relationships. Three themes fed into this interplay, depicting dynamics between perceptions of i. not mattering and mattering, ii. becoming disconnected from other people, and iii. constraints versus freedom associated with sharing suicidal and psychotic experiences with others. CONCLUSION This study revealed a detailed insight into ways in which interpersonal relationships are perceived to interact with psychotic and suicidal experiences in ways that can be both beneficial and challenging. This is important from scientific and clinical perspectives for understanding the complex pathways involved in suicidal experiences. TRIAL REGISTRATION ClinicalTrials.gov (NCT03114917), 14th April 2017. ISRCTN (reference ISRCTN17776666 .); 5th June 2017). Registration was recorded prior to participant recruitment commencing.
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Affiliation(s)
- Patricia Gooding
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Coupland Building 1, Oxford Road, Manchester, M13 9PL, UK.
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.
| | - Gillian Haddock
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Coupland Building 1, Oxford Road, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Kamelia Harris
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Coupland Building 1, Oxford Road, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Menita Asriah
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Coupland Building 1, Oxford Road, Manchester, M13 9PL, UK
| | - Yvonne Awenat
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Coupland Building 1, Oxford Road, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Leanne Cook
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Coupland Building 1, Oxford Road, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Richard J Drake
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Coupland Building 1, Oxford Road, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Charlotte Huggett
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Coupland Building 1, Oxford Road, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Steven Jones
- Lancashire and South Cumbria, NHS Foundation Trust, Lancashire, UK
- Spectrum Centre for Mental Health Research, Division of Health Research, Faculty of Health and Medicine, Lancaster University, Lancaster, UK
| | - Fiona Lobban
- Lancashire and South Cumbria, NHS Foundation Trust, Lancashire, UK
- Spectrum Centre for Mental Health Research, Division of Health Research, Faculty of Health and Medicine, Lancaster University, Lancaster, UK
| | - Paul Marshall
- Lancashire and South Cumbria, NHS Foundation Trust, Lancashire, UK
- Spectrum Centre for Mental Health Research, Division of Health Research, Faculty of Health and Medicine, Lancaster University, Lancaster, UK
| | - Daniel Pratt
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Coupland Building 1, Oxford Road, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Sarah Peters
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Coupland Building 1, Oxford Road, Manchester, M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
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Ahuja Y, Zou Y, Verma A, Buckeridge D, Li Y. MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record. J Biomed Inform 2022; 134:104190. [PMID: 36058522 DOI: 10.1016/j.jbi.2022.104190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 08/27/2022] [Accepted: 08/28/2022] [Indexed: 01/18/2023]
Abstract
Electronic Health Records (EHRs) contain rich clinical data collected at the point of the care, and their increasing adoption offers exciting opportunities for clinical informatics, disease risk prediction, and personalized treatment recommendation. However, effective use of EHR data for research and clinical decision support is often hampered by a lack of reliable disease labels. To compile gold-standard labels, researchers often rely on clinical experts to develop rule-based phenotyping algorithms from billing codes and other surrogate features. This process is tedious and error-prone due to recall and observer biases in how codes and measures are selected, and some phenotypes are incompletely captured by a handful of surrogate features. To address this challenge, we present a novel automatic phenotyping model called MixEHR-Guided (MixEHR-G), a multimodal hierarchical Bayesian topic model that efficiently models the EHR generative process by identifying latent phenotype structure in the data. Unlike existing topic modeling algorithms wherein the inferred topics are not identifiable, MixEHR-G uses prior information from informative surrogate features to align topics with known phenotypes. We applied MixEHR-G to an openly-available EHR dataset of 38,597 intensive care patients (MIMIC-III) in Boston, USA and to administrative claims data for a population-based cohort (PopHR) of 1.3 million people in Quebec, Canada. Qualitatively, we demonstrate that MixEHR-G learns interpretable phenotypes and yields meaningful insights about phenotype similarities, comorbidities, and epidemiological associations. Quantitatively, MixEHR-G outperforms existing unsupervised phenotyping methods on a phenotype label annotation task, and it can accurately estimate relative phenotype prevalence functions without gold-standard phenotype information. Altogether, MixEHR-G is an important step towards building an interpretable and automated phenotyping system using EHR data.
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Affiliation(s)
- Yuri Ahuja
- Department of Biostatistics, Harvard TH Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA; Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA.
| | - Yuesong Zou
- School of Computer Science, McGill University, 3480 Rue University, Montreal, QC H3A 2A7, Canada
| | - Aman Verma
- School of Population and Global Health, McGill University, 2001 McGill College Avenue, Montreal, Québec H3A 1G1, Canada
| | - David Buckeridge
- School of Population and Global Health, McGill University, 2001 McGill College Avenue, Montreal, Québec H3A 1G1, Canada.
| | - Yue Li
- School of Computer Science, McGill University, 3480 Rue University, Montreal, QC H3A 2A7, Canada.
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Griffiths DC, da Silva DKM, Leathlean C, Jiang H, Ang DCS, Searle R. Investigation of physical activity, sleep, and mental health recovery in treatment resistant depression (TRD) patients receiving repetitive transcranial magnetic stimulation (rTMS) treatment. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2022; 8:100337. [PMID: 35619990 PMCID: PMC9025392 DOI: 10.1016/j.jadr.2022.100337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 02/12/2022] [Accepted: 03/15/2022] [Indexed: 11/25/2022] Open
Abstract
Repetitive transcranial magnetic stimulation (rTMS) is effective in treating depression; however, the effect on physical activity, sleep and recovery is unclear. PHQ-9, GAD-7 and ReQol scores significantly improved with large effect sizes. Fitbit activity and sleep results werenon-significant. Improvements on the ReQoL and aspects of sleep and activity indicate the positive impact of rTMS on functioning and quality of life.
Background Methods Results Limitations Conclusions
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Cohen BM, Öngür D, Babb SM. Alternative Diagnostic Models of the Psychotic Disorders: Evidence-Based Choices. PSYCHOTHERAPY AND PSYCHOSOMATICS 2022; 90:373-385. [PMID: 34233335 DOI: 10.1159/000517027] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 04/19/2021] [Indexed: 11/19/2022]
Abstract
Standard diagnostic systems, the predominantly categorical DSM-5 and ICD-11, have limitations in validity, utility, and predictive and descriptive power. For psychotic disorders, these issues were partly addressed in current versions, but additional modifications are thought to be needed. Changes should be evidence based. We reviewed categorical, modified-categorical, and continuum-based models versus factor-based models of psychosis. Factors are clusters of symptoms or single prominent aspects of illness. Consistent evidence from studies of the genetics, pathobiology, and clinical presentation of psychotic disorders all support an underlying structure of factors, not categories, as best characterizing psychoses. Factors are not only the best fit but also comprehensive, as they can encompass any key feature of illness, including symptoms and course, as well as determinants of risk or response. Factors are inherently dimensional, even multidimensional, as are the psychoses themselves, and they provide the detail needed for either grouping or distinguishing patients for treatment decisions. The tools for making factor-based diagnoses are available, reliable, and concordant with actual practices used for clinical assessments. If needed, factors can be employed to create categories similar to those in current use. In addition, they can be used to define unique groupings of patients relevant to specific treatments or studies of the psychoses. Lastly, factor-based classifications are concordant with other comprehensive approaches to psychiatric nosology, including personalized (precision treatment) models and hierarchical models, both of which are currently being explored. Factors might be considered as the right primary structural choice for future versions of standard diagnostic systems, both DSM and ICD.
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Affiliation(s)
- Bruce M Cohen
- Harvard Medical School, Boston, Massachusetts, USA.,McLean Hospital, Belmont, Massachusetts, USA
| | - Dost Öngür
- Harvard Medical School, Boston, Massachusetts, USA.,McLean Hospital, Belmont, Massachusetts, USA
| | - Suzann M Babb
- Harvard Medical School, Boston, Massachusetts, USA.,McLean Hospital, Belmont, Massachusetts, USA
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Fruth S, Brieden A, Leucht S, Heres S. New insight into the CATIE study by constrained confidence partitioning. An innovative technique towards personalized antipsychotic drug therapy in schizophrenia treatment. Schizophr Res 2022; 239:192-199. [PMID: 34902651 DOI: 10.1016/j.schres.2021.11.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 09/24/2021] [Accepted: 11/15/2021] [Indexed: 11/16/2022]
Abstract
The CATIE schizophrenia trial was a very influential randomized controlled trial in patients with chronic schizophrenia. Patients were followed for up to 18 months under treatment with a randomly assigned antipsychotic. The primary endpoint, time to discontinuation of treatment for any reason, is influenced by individual patient characteristics, external factors as well as effects of drug treatment. New insight is obtained by applying an innovative survival analysis based on constrained confidence partitioning (SA-C2P). Through this data-driven approach we identify homogeneous collectives of patients with similar patient characteristics differing from the study population in the primary endpoint, enabling us to predict patient individual outcome more precisely. A subgroup of patients treated with olanzapine featuring neither an anxiety disorder in the past month, drug abuse in the past five years nor hospitalizations in the past year discontinued drug therapy substantially later compared to patients meeting at least one of the named parameters. Moreover, differences in the primary outcome between second-generation antipsychotics increased compared to the original CATIE analysis when looking into this subgroup in the entire study sample. Our findings suggest that SA-C2P may assist in identifying relevant responder subgroups, probably missed by conventional statistical methods, making it a potential tool for personalized medicine.
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Affiliation(s)
- Saskia Fruth
- Chair of Statistics, in particular Risk Management, Department of Economics and Management, Universitaet der Bundeswehr Muenchen, Werner-Heisenberg-Weg 39, 85577 Neubiberg, Germany.
| | - Andreas Brieden
- Chair of Statistics, in particular Risk Management, Department of Economics and Management, Universitaet der Bundeswehr Muenchen, Werner-Heisenberg-Weg 39, 85577 Neubiberg, Germany.
| | - Stefan Leucht
- Klinik und Poliklinik fuer Psychiatrie und Psychotherapie, Klinikum rechts der Isar der Technischen Universitaet Muenchen, Ismaninger Straße 22, 81675 Muenchen, Germany.
| | - Stephan Heres
- kbo-Klinik für Psychiatrie und Psychotherapie Nord
- Schwabing, kbo-Tagesklinik und Institutsambulanz Nord
- Schwabing, Koelner Platz 1, Haus 7, 80804 Muenchen, Germany.
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Masdrakis VG, Baldwin DS. Anticonvulsant and antipsychotic medications in the pharmacotherapy of panic disorder: a structured review. Ther Adv Psychopharmacol 2021; 11:20451253211002320. [PMID: 33815761 PMCID: PMC7989133 DOI: 10.1177/20451253211002320] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 02/22/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND As the remission rate of panic disorder (PD) achieved with conventional pharmacotherapy ranges between 20% and 50%, alternative psychopharmacological strategies are needed. We aimed to firstly review data regarding use of antipsychotic and non-benzodiazepine anticonvulsant medication in PD patients with or without comorbidities; secondly, to review data concerning reduction of panic symptoms during treatment of another psychiatric disorder with the same medications; and thirdly, to examine reports of anticonvulsant- or antipsychotic-induced new-onset panic symptomatology. METHODS We performed a PubMed search (last day: 28 April 2020) of English-language studies only, combining psychopathological terms (e.g. 'panic disorder') and terms referring either to categories of psychotropic medications (e.g. 'anticonvulsants') or to specific drugs (e.g. 'carbamazepine'). All duplications were eliminated. All studies included in the review met certain inclusion/exclusion criteria. The level of evidence for the efficacy of each drug was defined according to widely accepted criteria. RESULTS In treatment-resistant PD, beneficial effects have been reported after treatment (mostly augmentation therapy) with a range of anticonvulsant (carbamazepine, gabapentin, lamotrigine, levetiracetam, oxcarbamazepine, valproate, vigabatrin, tiagabine) and antipsychotic (aripiprazole, olanzapine, risperidone, sulpiride) medications: overall, most medications appear generally well tolerated. Additionally, bipolar patients receiving valproate or quetiapine-XR (but not risperidone or ziprasidone) demonstrated reductions of comorbid panic-related symptoms. There are case reports of new-onset panic symptoms associated with clozapine, haloperidol, olanzapine and topiramate, in patients with conditions other than PD. The small-to-modest sample size, the lack of control groups and the open-label and short-term nature of most of the reviewed studies hinder definitive conclusions regarding either the short-term and long-term efficacy of antipsychotic and anticonvulsant medications or their potential long-term side effects. CONCLUSION Some atypical antipsychotic and anticonvulsant medications may have a role in the treatment of some PD patients, mostly when more conventional approaches have not been successful, but the quality of supporting evidence is limited.
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Affiliation(s)
- Vasilios G Masdrakis
- First Department of Psychiatry, School of Medicine, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - David S Baldwin
- Clinical and Experimental Sciences, University of Southampton Faculty of Medicine; University Department of Psychiatry, Academic Centre, College Keep, 4-12 Terminus Terrace, Southampton, Hampshire, SO14 3DT, UK
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Ravichandran C, Ongur D, Cohen BM. Clinical Features of Psychotic Disorders: Comparing Categorical and Dimensional Models. PSYCHIATRIC RESEARCH AND CLINICAL PRACTICE 2020; 3:29-37. [PMID: 36101555 PMCID: PMC9175900 DOI: 10.1176/appi.prcp.20190053] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 06/15/2020] [Accepted: 06/19/2020] [Indexed: 11/30/2022] Open
Abstract
Objective Despite research demonstrating the value of dimensional approaches, standard systems for classifying psychotic disorders rely primarily on categorization of patients into distinct diagnoses. We present the first study comparing analyses of dimensional features, categories, and standard diagnoses, all derived from the same sample. Methods Using symptom ratings from 934 patients hospitalized for psychosis, we examined dimensional models, fit using factor analysis, categorical models, fit to factor‐based scores from the dimensional model, and their correspondence with DSM‐defined diagnoses. We compared the ability of each model to discriminate patients' assignment to medication regimen as a clinical validator. Results Dimensional modeling identified four factors (manic, depressive, negative symptoms, and positive symptoms), which corresponded to factors in prior studies and appeared robust to statistical approach. Scores based on these factors overlapped substantially among DSM diagnoses. Patients assigned to clusters had less overlap in factor‐based scores. However, categorical models were sensitive to statistical approach. The addition of DSM diagnoses, but not cluster assignments, improved the fits of models with dimensional scores alone as the clinical predictors for some medication classes. Conclusions The results highlight the variability of symptom presentation within DSM‐defined diagnostic categories, the utility of symptom dimensions or factors, and a potential lack of robustness of data‐driven categorical approaches. Findings support initiatives to develop updated diagnostic systems that complement categorical classification of psychotic illness with factors representing dimensional ratings of symptoms. This study compared results from dimensional and categorical models fit to symptom ratings from a large sample of patients hospitalized for psychosis. Dimensional information, which was not fully captured by data‐derived or DSM‐defined categorical assignments, best predicted medication classes at discharge overall. These findings support the incorporation of dimensional ratings into categorical classification systems for psychotic illness.
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Affiliation(s)
- Caitlin Ravichandran
- Harvard Medical School Boston Massachusetts
- McLean Hospital Belmont Massachusetts
- Lurie Center for Autism Lexington Massachusetts
| | - Dost Ongur
- Harvard Medical School Boston Massachusetts
- McLean Hospital Belmont Massachusetts
| | - Bruce M. Cohen
- McLean Hospital Belmont Massachusetts
- Robertson Steele Professor of Psychiatry Harvard Medical School Boston Massachusetts
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Naidu K, van Staden W, Fletcher L. Discerning undifferentiated anxiety from syndromal anxiety in acute-phase schizophrenia. Ann Gen Psychiatry 2020; 19:26. [PMID: 32318113 PMCID: PMC7158120 DOI: 10.1186/s12991-020-00277-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 04/04/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Literature on anxiety in schizophrenia is confined to well-established diagnostic syndromes and the diagnostic category of unspecified anxiety disorder has not been quantitatively verified in this population. This study examined whether anxiety that is not differentiated into the well-established syndromes is empirically discernible from syndromal anxiety and no anxiety in acute-phase schizophrenia. METHODS After sampling 111 acute-phase schizophrenia patients, they were stratified into three groups: syndromal anxiety; undifferentiated anxiety; and without anxiety disorder. The groups were compared statistically in two data sets on measures for anxiety, psychotic severity, depressive features, akathisia and medication use. RESULTS On two measures of anxiety and for both data sets, the groups were significantly different without evidence of a confounding influence by akathisia, medication, or psychotic severity. The undifferentiated group was different from the syndromal group on the Staden Schizophrenia Anxiety Rating Scale (S-SARS) for both data sets (mean difference = 7.46, p < 0.001; mean difference = 7.69, p < 0.002) and on the Hamilton Anxiety Rating Scale for the one data set (mean difference = 14.68, p < 0.001) but not for the replicative data set (mean difference = 1.49, p = 0.494). The undifferentiated anxiety group was different from the no anxiety group for the respective data sets on both anxiety scales (S-SARS: mean difference = 8.67, p < 0.001; mean difference = 8.64, p < 0.001)(HAM-A: mean difference = 6.05, p < 0.001; mean difference = 8.67, p = 0.002). When depressive features had a confounding effect, it was small relative to the group differences. CONCLUSIONS The results suggest some patients in acute-phase schizophrenia present with undifferentiated anxiety that is discernible from both syndromal anxiety and those without an anxiety disorder. This finding may serve as empirical grounds for clinicians to recognise undifferentiated anxiety in acute-phase schizophrenia, and for further research into the clinical importance of undifferentiated anxiety in this population.
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Affiliation(s)
- Kalai Naidu
- 1Department of Psychiatry, University of Pretoria, Pretoria, South Africa
| | - Werdie van Staden
- 1Department of Psychiatry, University of Pretoria, Pretoria, South Africa.,2Centre for Ethics and Philosophy of Health Sciences, Faculty of Health Sciences, University of Pretoria, Arcadia, Private Bag X323, Pretoria, 0007 South Africa
| | - Lizelle Fletcher
- 3Department of Statistics, University of Pretoria, Pretoria, South Africa
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Busch JR, Jacobsen C, Lynnerup N, Banner J, Møller M. Expression of vasopressin mRNA in the hypothalamus of individuals with a diagnosis of schizophrenia. Brain Behav 2019; 9:e01355. [PMID: 31339235 PMCID: PMC6749484 DOI: 10.1002/brb3.1355] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 04/30/2019] [Accepted: 05/01/2019] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE This study investigates the expression of mRNA encoding vasopressin in the hypothalamus of autopsy brains of individuals diagnosed with schizophrenia. METHODS Ten brains of individuals with schizophrenia and 10 brains from individuals without any disease were examined during autopsy. The hypothalamic block was dissected and immersion fixed in paraformaldehyde, sucrose substituted, frozen, and cut into 20-µm-thick coronal cryostat sections. The sections were hybridized with an S-35-labeled DNA antisense oligo probe and after washing covered by an X-ray film. The hybridization signals on the films were transferred to a computer and densitometrically quantified. RESULTS The densitometry signals showed a statistically significant lower mRNA expression (53% decrease; p = 0.014) in the paraventricular nucleus of the individuals with schizophrenia compared to the controls. In the supraoptic nucleus, the decrease in the group with schizophrenia was 39% compared to the controls, but this decrease was not statistically significant (p = 0.194). CONCLUSIONS Our results show a low expression of mRNA encoding vasopressin in the paraventricular nucleus of the individuals with schizophrenia. We suggest that vasopressin is not directly involved in the pathogenesis of schizophrenia, but might influence schizophrenic symptoms via vasopressin receptors located in the social behavioral neural network in the forebrain.
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Affiliation(s)
- Johannes R Busch
- Department of Forensic Medicine, Section of Forensic Pathology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christina Jacobsen
- Department of Forensic Medicine, Section of Forensic Pathology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Lynnerup
- Department of Forensic Medicine, Section of Forensic Pathology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jytte Banner
- Department of Forensic Medicine, Section of Forensic Pathology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Morten Møller
- Faculty of Health and Medical Sciences, Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark
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Goghari VM, Harrow M. Anxiety symptoms across twenty-years in schizoaffective disorder, bipolar disorder, and major depressive disorder. Psychiatry Res 2019; 275:310-314. [PMID: 30953876 DOI: 10.1016/j.psychres.2019.03.050] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 03/29/2019] [Accepted: 03/30/2019] [Indexed: 12/01/2022]
Abstract
Anxiety symptoms and anxiety disorders are common in both mood and psychotic disorders. However, limited comparative information exists regarding the long-term course of anxiety in schizoaffective disorder, bipolar disorder, and major depressive disorder. Prospective evaluation of the 20-year trajectory of self-reported anxiety and somatic-related anxiety in three major diagnostic groups, 43 schizoaffective patients, 47 bipolar patients, and 109 major depression patients was conducted. The patients were recruited at an index phase of hospitalization, and then reassessed longitudinally at six subsequent follow-ups over 20-years. The sample was well characterized with symptom, recovery and functioning data being available. This study found that in the earlier years of illness, self-reported anxiety was greater in schizoaffective and major depression patients than bipolar patients. The three groups were similar for anxiety symptoms during the 20-year course of their illness. Last, we found in all patients, self-reported anxiety in the early years predicted having a period of recovery and lower global functioning in the future. Our data provides unique information regarding the comparative course of anxiety in related mood and psychotic disorders. Both clinicians and researchers should focus on assessing, diagnosing, and treating anxiety in mood and psychotic disorders, as a means to improve outcomes and quality of life in these individuals.
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Affiliation(s)
- Vina M Goghari
- Departments of Psychology and Psychiatry, University of Toronto, 1265 Military Trail, M1C 1A4 Toronto, Ontario, Canada.
| | - Martin Harrow
- Department of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA
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Spoorthy MS, Chakrabarti S, Grover S. Comorbidity of bipolar and anxiety disorders: An overview of trends in research. World J Psychiatry 2019; 9:7-29. [PMID: 30631749 PMCID: PMC6323556 DOI: 10.5498/wjp.v9.i1.7] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 11/04/2018] [Accepted: 12/05/2018] [Indexed: 02/05/2023] Open
Abstract
Over the last three decades burgeoning research has shown that anxiety disorder comorbidity is not only highly prevalent in bipolar disorder (BD), but it also adversely impacts the course, outcome, and treatment of BD. The present review provides an overview of the current trends in research on comorbid anxiety and BDs based on prior reviews and meta-analyses (n = 103), epidemiological surveys, and large-scale clinical studies. The results reiterated the fact that at least half of those with BD are likely to develop an anxiety disorder in their lifetimes and a third of them will manifest an anxiety disorder at any point of time. All types of anxiety disorders were equally common in BD. However, there was a wide variation in rates across different sources, with most of this discrepancy being accounted for by methodological differences between reports. Comorbid anxiety disorders negatively impacted the presentation and course of BD. This unfavourable clinical profile led to poorer outcome and functioning and impeded treatment of BD. Despite the extensive body of research there was paucity of data on aetiology and treatment of anxiety disorder comorbidity in BD. Nevertheless, the substantial burden and unique characteristics of this comorbidity has important clinical and research implications.
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Affiliation(s)
- Mamidipalli Sai Spoorthy
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India
| | - Subho Chakrabarti
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India
| | - Sandeep Grover
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India
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Mistry S, Harrison JR, Smith DJ, Escott-Price V, Zammit S. The use of polygenic risk scores to identify phenotypes associated with genetic risk of schizophrenia: Systematic review. Schizophr Res 2018; 197:2-8. [PMID: 29129507 DOI: 10.1016/j.schres.2017.10.037] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 10/27/2017] [Accepted: 10/28/2017] [Indexed: 12/12/2022]
Abstract
Studying the phenotypic manifestations of increased genetic liability for schizophrenia can increase our understanding of this disorder. Specifically, information from alleles identified in genome-wide association studies can be collapsed into a polygenic risk score (PRS) to explore how genetic risk is manifest within different samples. In this systematic review, we provide a comprehensive assessment of studies examining associations between schizophrenia PRS (SZ-PRS) and several phenotypic measures. We searched EMBASE, Medline and PsycINFO (from August 2009-14th March 2016) plus references of included studies, following PRISMA guidelines. Study inclusion was based on predetermined criteria and data were extracted independently and in duplicate. Overall, SZ-PRS was associated with increased risk for psychiatric disorders such as depression and bipolar disorder, lower performance IQ and negative symptoms. SZ-PRS explained up to 6% of genetic variation in psychiatric phenotypes, compared to <0.7% in measures of cognition. Future gains from using the PRS approach may be greater if used for examining phenotypes that are more closely related to biological substrates, for scores based on gene-pathways, and where PRSs are used to stratify individuals for study of treatment response. As it was difficult to interpret findings across studies due to insufficient information provided by many studies, we propose a framework to guide robust reporting of PRS associations in the future.
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Affiliation(s)
- Sumit Mistry
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK.
| | - Judith R Harrison
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK
| | - Daniel J Smith
- Institute of Health and Wellbeing, 1 Lilybank Gardens, University of Glasgow, UK
| | - Valentina Escott-Price
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK
| | - Stanley Zammit
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK; Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, UK
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Yapici Eser H, Kacar AS, Kilciksiz CM, Yalçinay-Inan M, Ongur D. Prevalence and Associated Features of Anxiety Disorder Comorbidity in Bipolar Disorder: A Meta-Analysis and Meta-Regression Study. Front Psychiatry 2018; 9:229. [PMID: 29997527 PMCID: PMC6030835 DOI: 10.3389/fpsyt.2018.00229] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 05/11/2018] [Indexed: 12/23/2022] Open
Abstract
Objective: Bipolar disorder is highly comorbid with anxiety disorders, however current and lifetime comorbidity patterns of each anxiety disorder and their associated features are not well studied. Here, we aimed to conduct a meta-analysis and meta-regression study of current evidence. Method: We searched PubMed to access relevant articles published until September 2015, using the keywords "Bipolar disorder" or "Affective Psychosis" or "manic depressive" separately with "generalized anxiety," "panic disorder," "social phobia," "obsessive compulsive," and "anxiety." Variables for associated features and prevalence of anxiety disorders were carefully extracted. Results: Lifetime any anxiety disorder comorbidity in BD was 40.5%; panic disorder (PD) 18.1%, generalized anxiety disorder (GAD) 13.3%, social anxiety disorder (SAD) 13.5% and obsessive compulsive disorder (OCD) 9.7%. Current any anxiety disorder comorbidity in BD is 38.2%; GAD is 15.2%, PD 13.3%, SAD 11.7%, and OCD 9.9%. When studies reporting data about comorbidities in BDI or BDII were analyzed separately, lifetime any anxiety disorder comorbidity in BDI and BDII were 38% and 34%, PD was 15% and 15%, GAD was 14% and 16.6%, SAD was 8% and 13%, OCD was 8% and 10%, respectively. Current any DSM anxiety disorder comorbidity in BDI or BDII were 31% and 37%, PD was 9% and 13%, GAD was 8% and 12%, SAD was 7% and 11%, and OCD was 8% and 7%, respectively. The percentage of manic patients and age of onset of BD tended to have a significant impact on anxiety disorders. Percentage of BD I patients significantly decreased the prevalence of panic disorder and social anxiety disorder. A higher rate of substance use disorder was associated with greater BD-SAD comorbidity. History of psychotic features significantly affected current PD and GAD. Conclusions: Anxiety disorder comorbidity is high in BD with somewhat lower rates in BDI vs BDII. Age of onset, substance use disorders, and percentage of patients in a manic episode or with psychotic features influences anxiety disorder comorbidity.
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Affiliation(s)
- Hale Yapici Eser
- School of Medicine, Koç University, Sariyer, Turkey.,Research Center for Translational Medicine, Koç University, Istanbul, Turkey
| | - Anil S Kacar
- Research Center for Translational Medicine, Koç University, Istanbul, Turkey
| | - Can M Kilciksiz
- School of Medicine, Koç University, Sariyer, Turkey.,Psychotic Disorders Division, McLean Hospital, Belmont, CA, United States.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | | | - Dost Ongur
- Psychotic Disorders Division, McLean Hospital, Belmont, CA, United States.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States
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14
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Pignon B, Tezenas du Montcel C, Carton L, Pelissolo A. The Place of Antipsychotics in the Therapy of Anxiety Disorders and Obsessive-Compulsive Disorders. Curr Psychiatry Rep 2017; 19:103. [PMID: 29110139 DOI: 10.1007/s11920-017-0847-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW The purpose of this review was to assess and present the findings up to this date on the efficacy of antipsychotics in the treatment of generalized anxiety disorders (GAD), social anxiety disorders (SAD), panic disorders (PD), and obsessive-compulsive disorders (OCD), mostly based on published randomized controlled trials (RCTs) or on open-label studies when RCT were lacking. RECENT FINDINGS Quetiapine could be recommended in patients with GAD. The efficacy of aripiprazole in two open-label studies on patients with antidepressant-refractory GAD should be assessed in RCTs. Despite preliminary positive results in open studies, there are currently no strong evidence for the effectiveness of antipsychotics in refractory SAD and in refractory PD. Conversely, risperidone and aripiprazole can be used for the treatment of refractory OCD as augmentation agents to antidepressants. Contrary to SAD and PD, this review found evidence for the use of second-generation antipsychotics in GAD and OCD. Otherwise, first-generation antipsychotics cannot be recommended in anxiety disorders and OCD.
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Affiliation(s)
- Baptiste Pignon
- AP-HP, DHU PePSY, Hôpitaux Universitaires Henri-Mondor, Pôle de Psychiatrie, 94000, Créteil, France. .,INSERM, U955, team 15, 94000, Créteil, France. .,Fondation FondaMental, 94000, Créteil, France. .,Faculté de médecine, UPEC, Université Paris-Est, 94000, Créteil, France. .,Hôpital Albert Chenevier, Groupe Hospitalier Henri-Mondor, CHU de Créteil, Assistance Publique-Hôpitaux de Paris (AP-HP), 40 rue de Mesly, 94 000, Créteil, France.
| | - Chloé Tezenas du Montcel
- AP-HP, DHU PePSY, Hôpitaux Universitaires Henri-Mondor, Pôle de Psychiatrie, 94000, Créteil, France
| | - Louise Carton
- Département de Pharmacologie Médicale, Univ.Lille, Inserm U1171, CHU Lille, 59000, Lille, France.,Service d'addictologie, CHU Lille, 59000, Lille, France
| | - Antoine Pelissolo
- AP-HP, DHU PePSY, Hôpitaux Universitaires Henri-Mondor, Pôle de Psychiatrie, 94000, Créteil, France.,INSERM, U955, team 15, 94000, Créteil, France.,Fondation FondaMental, 94000, Créteil, France.,Faculté de médecine, UPEC, Université Paris-Est, 94000, Créteil, France
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15
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Masdrakis VG, Legaki EM, Papageorgiou C, Markianos M. Psychoticism in patients with panic disorder with or without comorbid agoraphobia. Int J Psychiatry Clin Pract 2017; 21:181-187. [PMID: 28345374 DOI: 10.1080/13651501.2017.1305111] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVE A few case-reports have previously described transient psychotic-like symptoms in non-psychotic patients with panic disorder (PD). We aimed to systematically explore whether PD patients without any current or past psychosis can be differentiated according to the severity of 'psychoticism' as a dimension, comprising clinical features such as psychotic-like experiences, increased social alienation, hostility and suspiciousness. METHODS Sample included 35 (female = 26) medication-free, non-psychotic patients consecutively referred from our Department's Outpatient Clinic for acute symptoms of DSM-5 PD with (PDA; N = 29) or without concurrent agoraphobia. Psychometric measures included the Symptom Checklist-90-Revised (SCL-90-R), Agoraphobic Cognitions Questionnaire (ACQ), Body Sensations Questionnaire (BSQ), and panic attacks during last 21 days PA-21d. RESULTS Multiple regression analysis (forward stepwise) revealed that, among all SCL-90-R subscales, the psychoticism-subscale was most significantly associated with panic-related beliefs included in the ACQ, while significant associations emerged between the paranoid ideation-subscale and the ACQ and BSQ measures. Moreover, significant correlations emerged between the SCL-90-R psychoticism-subscale and all three measures of PD symptoms (ACQ, BSQ, PA-21d) and between the SCL-90-R paranoid ideation-subscale and both the ACQ and BSQ. CONCLUSIONS This significant association between levels of psychoticism and severity of panic symptoms may reflect a more severe subtype of PD.
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Affiliation(s)
- Vasilios G Masdrakis
- a 1st Department of Psychiatry , Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens , Athens , Greece
| | - Emilia-Maria Legaki
- a 1st Department of Psychiatry , Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens , Athens , Greece
| | - Charalambos Papageorgiou
- a 1st Department of Psychiatry , Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens , Athens , Greece
| | - Manolis Markianos
- a 1st Department of Psychiatry , Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens , Athens , Greece
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16
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Buccheri RK, Trygstad LN, Buffum MD, Ju DS, Dowling GA. Integrating Anxiety Reduction into an Existing Self-Management of Auditory Hallucinations Course. J Psychosoc Nurs Ment Health Serv 2017; 55:29-39. [DOI: 10.3928/02793695-20170420-04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 03/22/2017] [Indexed: 11/20/2022]
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17
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Vrbova K, Prasko J, Ociskova M, Holubova M. Comorbidity of schizophrenia and social phobia - impact on quality of life, hope, and personality traits: a cross sectional study. Neuropsychiatr Dis Treat 2017; 13:2073-2083. [PMID: 28831256 PMCID: PMC5548278 DOI: 10.2147/ndt.s141749] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE The purpose of the study was to explore whether the comorbidity of social phobia affects symptoms severity, positive and negative symptoms, self-stigma, hope, and quality of life in patients with schizophrenia spectrum disorders. METHODS This is a cross-sectional study in which all participants completed the Internalized Stigma of Mental Illness (ISMI) scale, Adult Dispositional Hope Scale (ADHS), Liebowitz Social Anxiety Scale (LSAS), Beck Anxiety Inventory (BAI), Beck Depression Inventory-II (BDI-II), Positive and Negative Syndrome Scale (PANSS), Quality of Life Enjoyment and Satisfaction Questionnaire (Q-LES-Q), Temperament and Character Inventory - Revised (TCI-R), and the demographic questionnaire. The disorder severity was assessed both by a psychiatrist (Clinical Global Impression Severity - the objective version [objCGI-S] scale) and by the patients (Clinical Global Impression Severity - the subjective version [subjCGI-S] scale). The patients were in a stabilized state that did not require changes in the treatment. Diagnosis of schizophrenia, schizoaffective disorder, or delusional disorder was determined according to the International Classification of Diseases 10th Revision (ICD-10) research criteria. A structured interview by Mini International Neuropsychiatric Interview was used to confirm the diagnosis. RESULTS The study included 61 patients of both genders. Clinically, the patients with comorbid social phobia had the earlier onset of the illness, more severe current psychopathology, more intense anxiety (general and social), and higher severity of depressive symptoms. The patients with comorbid social phobia showed the significantly lower quality of life compared to the patients without this comorbidity. The patients with comorbid social phobia also had a statistically lower mean level of hope and experienced a higher rate of the self-stigma. They also exhibited higher average scores of personality trait harm avoidance (HA) and a lower score of personality trait self-directedness (SD). CONCLUSION The study demonstrated differences in demographic factors, the severity of the disorder, self-stigma, hope, HA, and SD between patients with schizophrenia spectrum disorders with and without comorbid social phobia.
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Affiliation(s)
- Kristyna Vrbova
- Department of Psychiatry, Faculty of Medicine and Dentistry, Palacky University Olomouc, University Hospital Olomouc, Olomouc, Czech Republic
| | - Jan Prasko
- Department of Psychiatry, Faculty of Medicine and Dentistry, Palacky University Olomouc, University Hospital Olomouc, Olomouc, Czech Republic
| | - Marie Ociskova
- Department of Psychiatry, Faculty of Medicine and Dentistry, Palacky University Olomouc, University Hospital Olomouc, Olomouc, Czech Republic
| | - Michaela Holubova
- Department of Psychiatry, Faculty of Medicine and Dentistry, Palacky University Olomouc, University Hospital Olomouc, Olomouc, Czech Republic.,Department of Psychiatry, Hospital Liberec, Liberec, Czech Republic
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18
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Seow LSE, Ong C, Mahesh MV, Sagayadevan V, Shafie S, Chong SA, Subramaniam M. A systematic review on comorbid post-traumatic stress disorder in schizophrenia. Schizophr Res 2016; 176:441-451. [PMID: 27230289 DOI: 10.1016/j.schres.2016.05.004] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Revised: 05/05/2016] [Accepted: 05/05/2016] [Indexed: 12/21/2022]
Abstract
Post-traumatic stress disorder (PTSD) appears to commonly co-occur with schizophrenia, which is widely considered the most disabling mental illness. Both conditions share neurological risk factors, and present with symptoms that are superficially similar, complicating diagnostic accuracy. The presence of comorbid PTSD is also of concern as additional diagnoses tend to worsen functioning and quality of life. In the current review, EMBASE, Medline, and PsycINFO were searched for articles pertaining to PTSD comorbidity in schizophrenia spectrum disorders. Articles went through two stages of review prior to inclusion - one at the abstract level and another at the full-text level. Thirty-four articles were ultimately included in the present review. Prevalence of PTSD in schizophrenia ranged from 0 to 57%, likely due to study heterogeneity. Findings generally indicated that comorbid PTSD was associated with higher levels of positive symptoms, general psychopathology, and neurocognitive impairment, as well as worse functioning and quality of life. As such, it is important for clinicians to differentiate between psychotic and PTSD symptoms, and to pay attention to the associated features of comorbid PTSD in order to provide the most appropriate intervention. Unfortunately, epidemiological and longitudinal studies in this area are lacking.
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Affiliation(s)
| | - Clarissa Ong
- Research Division, Institute of Mental Health, Singapore
| | | | | | - Saleha Shafie
- Research Division, Institute of Mental Health, Singapore
| | - Siow Ann Chong
- Research Division, Institute of Mental Health, Singapore
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19
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Long Noncoding RNA-Directed Epigenetic Regulation of Gene Expression Is Associated With Anxiety-like Behavior in Mice. Biol Psychiatry 2015; 78:848-59. [PMID: 25792222 PMCID: PMC4532653 DOI: 10.1016/j.biopsych.2015.02.004] [Citation(s) in RCA: 94] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2014] [Revised: 02/03/2015] [Accepted: 02/04/2015] [Indexed: 01/29/2023]
Abstract
BACKGROUND RNA-directed regulation of epigenetic processes has recently emerged as an important feature of mammalian differentiation and development. Perturbation of this regulatory system in the brain may contribute to the development of neuropsychiatric disorders. METHODS RNA sequencing was used to identify changes in the experience-dependent expression of long noncoding RNAs (lncRNAs) within the medial prefrontal cortex of adult mice. Transcripts were validated by real-time quantitative polymerase chain reaction and a candidate lncRNA, Gomafu, was selected for further investigation. The functional role of this schizophrenia-related lncRNA was explored in vivo by antisense oligonucleotide-mediated gene knockdown in the medial prefrontal cortex, followed by behavioral training and assessment of fear-related anxiety. Long noncoding RNA-directed epigenetic regulation of gene expression was investigated by chromatin and RNA immunoprecipitation assays. RESULTS RNA sequencing analysis revealed changes in the expression of a significant number of genes related to neural plasticity and stress, as well as the dynamic regulation of lncRNAs. In particular, we detected a significant downregulation of Gomafu lncRNA. Our results revealed that Gomafu plays a role in mediating anxiety-like behavior and suggest that this may occur through an interaction with a key member of the polycomb repressive complex 1, BMI1, which regulates the expression of the schizophrenia-related gene beta crystallin (Crybb1). We also demonstrated a novel role for Crybb1 in mediating fear-induced anxiety-like behavior. CONCLUSIONS Experience-dependent expression of lncRNAs plays an important role in the epigenetic regulation of adaptive behavior, and the perturbation of Gomafu may be related to anxiety and the development of neuropsychiatric disorders.
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20
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Milton RM, Washington NB, Brahm N. Hypoglycemia from a look-alike, sound-alike medication error. Ment Health Clin 2015. [DOI: 10.9740/mhc.2015.07.174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Objective
To describe the effects of a look-alike, sound-alike medication error on the glycemic control and psychiatric well-being of a 23-year-old man.
Case Summary
A 23-year-old man presented to the university-based Integrated Multidisciplinary Program of Assertive Community Treatment (IMPACT) team with a diagnosis of schizoaffective disorder, most recent episode manic, and hypertension. The patient was prescribed chlorpromazine 100 mg daily to treat symptoms of psychosis and anxiety. The anxiety, however, persisted and escalated over the following 2 weeks. Upon physical examination of the patient's medications, it was discovered that the patient was inadvertently given chlorpropamide in place of the chlorpromazine. Evaluations, clinical presentation, the medication list, and criteria for an adverse drug event indicated a probable relationship (7 of 12) between the use of chlorpropamide and a hypoglycemic episode. The medication error was noted and corrective actions were taken. Within 1 week of the corrective actions, the patient's anxiety improved.
Discussion
When working with psychiatric patients, it is important to physically review all medications when expected responses are not achieved or when new psychiatric or physiological symptoms present. Approximately one-fourth of medication errors in the United States are drug name confusion errors. These errors must be universally addressed by all parties involved in the medication process. Effective safeguards are available and must be implemented by manufacturers, physicians, pharmacists, nurses, and all health care professionals to prevent look-alike, sound-alike medication errors.
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Affiliation(s)
- Robin M. Milton
- Clinical Assistant Professor, College of Pharmacy, University of Oklahoma, Tulsa, Oklahoma
| | - Nicole B. Washington
- Assistant Professor, Department of Psychiatry, School of Community Medicine, University of Oklahoma, Tulsa, Oklahoma
| | - Nancy Brahm
- (Corresponding author) Clinical Professor, College of Pharmacy, University of Oklahoma, Tulsa, Oklahoma,
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21
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Shimada-Sugimoto M, Otowa T, Miyagawa T, Khor SS, Kashiwase K, Sugaya N, Kawamura Y, Umekage T, Kojima H, Saji H, Miyashita A, Kuwano R, Kaiya H, Kasai K, Tanii H, Okazaki Y, Tokunaga K, Sasaki T. Immune-related pathways including HLA-DRB1(∗)13:02 are associated with panic disorder. Brain Behav Immun 2015; 46:96-103. [PMID: 25582808 DOI: 10.1016/j.bbi.2015.01.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Revised: 12/26/2014] [Accepted: 01/05/2015] [Indexed: 11/25/2022] Open
Abstract
Panic disorder (PD) is an anxiety disorder characterized by panic attacks and anticipatory anxiety. Both genetic and environmental factors are thought to trigger PD onset. Previously, we performed a genome-wide association study (GWAS) for PD and focused on candidate SNPs with the lowest P values. However, there seemed to be a number of polymorphisms which did not reach genome-wide significance threshold due to their low allele frequencies and odds ratios, even though they were truly involved in pathogenesis. Therefore we performed pathway analyses in order to overcome the limitations of conventional single-marker analysis and identify associated SNPs with modest effects. Each pathway analysis indicated that pathways related to immunity showed the strongest association with PD (DAVID, P=2.08×10(-6); i-GSEA4GWAS, P<10(-3); ICSNPathway, P<10(-3)). Based on the results of pathway analyses and the previously performed GWAS for PD, we focused on and investigated HLA-B and HLA-DRB1 as candidate susceptibility genes for PD. We typed HLA-B and HLA-DRB1 in 744 subjects with PD and 1418 control subjects. Patients with PD were significantly more likely to carry HLA-DRB1(∗)13:02 (P=2.50×10(-4), odds ratio=1.54). Our study provided initial evidence that HLA-DRB1(∗)13:02 and genes involved in immune-related pathways are associated with PD. Future studies are necessary to confirm these results and clarify the underlying mechanisms causing PD.
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Affiliation(s)
- Mihoko Shimada-Sugimoto
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Takeshi Otowa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Taku Miyagawa
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Seik-Soon Khor
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Koichi Kashiwase
- Japanese Red Cross Kanto-Koshinetsu Block Blood Center, Tokyo, Japan
| | - Nagisa Sugaya
- Department of Epidemiology and Public Health, Graduate School of Medicine, Yokohama City University, Kanagawa, Japan
| | - Yoshiya Kawamura
- Department of Psychiatry, Sakae Seijinkai Hospital, Kanagawa, Japan
| | - Tadashi Umekage
- Division for Environment, Health and Safety, The University of Tokyo, Tokyo, Japan
| | | | | | - Akinori Miyashita
- Department of Molecular Genetics, Center for Bioresources, Brain Research Institute, Niigata University, Niigata, Japan
| | - Ryozo Kuwano
- Department of Molecular Genetics, Center for Bioresources, Brain Research Institute, Niigata University, Niigata, Japan
| | - Hisanobu Kaiya
- Panic Disorder Research Center, Warakukai Med. Corp., Tokyo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hisashi Tanii
- Department of Psychiatry, Institute of Medical Life Science, Graduate School of Medicine, Mie University, Mie, Japan
| | - Yuji Okazaki
- Tokyo Metropolitan Matsuzawa Hospital, Tokyo, Japan
| | - Katsushi Tokunaga
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tsukasa Sasaki
- Department of Physical and Health Education, Graduate School of Education, The University of Tokyo, Tokyo, Japan
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Bipolar and panic disorders may be associated with hereditary defects in the innate immune system. J Affect Disord 2014; 164:148-54. [PMID: 24856568 DOI: 10.1016/j.jad.2014.04.017] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2013] [Revised: 04/09/2014] [Accepted: 04/10/2014] [Indexed: 11/21/2022]
Abstract
BACKGROUND Mannan-binding lectin (MBL) and mannan-binding lectin-associated serine protease-2 (MASP-2) represent important arms of the innate immune system, and different deficiencies may result in infections or autoimmune diseases. Both bipolar and panic disorders are associated with increased inflammatory response, infections and mutual comorbidity. However, associations with MBL, MASP-2 or the gene, MBL2, coding for MBL, have not been investigated thoroughly. METHODS One hundred patients with bipolar disorder, 100 with panic disorder and 349 controls were included. Serum concentrations of MBL and MASP-2 were measured and seven single nucleotide polymorphisms (SNPs) influencing these concentrations were genotyped. Disease association with genetic markers and serum levels were investigated. RESULTS In panic disorder, we observed a large proportion (30%) of MBL deficient (<100ng/ml) individuals and significantly lower levels of MBL and MASP-2 plus association with the MBL2 YA two-marker haplotype. Bipolar disorder was associated with the MBL2 LXPA haplotype and lower MASP-2 levels. LIMITATIONS No information on course or severity of disorders was included, and only MBL and MASP-2 were measured, excluding other components from the complement pathway. Restrictions defined by ethnical committees preclude information of control׳s ethnic origin. CONCLUSIONS Significant differences in MBL and MASP-2 concentrations were observed between cohorts, especially an intriguing finding associating panic disorder with MBL deficiency. These differences could not be fully explained by allele or haplotype frequency variations. Since MBL deficiency is highly heterogeneous and associated with both infectious and autoimmune states, more research is needed to identify which complement pathway components could be associated with bipolar respectively panic disorder.
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Abstract
The clinical relevance of anxiety disorders in schizophrenia has been neglected for a long time and has only recently become the subject of a systematic investigation, although its consequences may have a very negative impact on the outcome and considerably worsen the trajectory of the disease. This could be originally related to the hierarchical organization of the Diagnostic and Statistical Manual of Mental Disorders (DSM) and to the lack of assessment instruments. In this article, we will review the most recent literature concerning two of the most impairing anxiety disorders in comorbidity with schizophrenia, such as panic disorder and social anxiety disorder, briefly analyze the role of anxiety in the prodromal phase of psychosis and provide suggestions for the clinical assessment.
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Affiliation(s)
- Stefano Pallanti
- Department of Psychiatry, University of Florence, via delle Gore 2H, 50141 Florence, Italy.
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