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de Oliveira SES, Magarotto Machado G, Pianowski G, Mansur-Alves M, de Francisco Carvalho L. Development and Validation of Dimensional Clinical Personality Inventory 2 (IDCP-2) Algorithms to Assess ICD-11 Personality Trait Domain Qualifiers. Assessment 2024:10731911241285102. [PMID: 39387317 DOI: 10.1177/10731911241285102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2024]
Abstract
With the advent of the new diagnostic model for personality disorders in the 11th revision of the International Classification of Diseases (ICD-11), researchers and practitioners in World Health Organization signatory countries are urged to implement it. This study aims to develop a brief, reliable, and valid scale for assessing maladaptive personality traits according to the ICD-11 model, using the item pool of the Dimensional Clinical Personality Inventory (IDCP-2). Quantitative and qualitative criteria for item selection were applied to a sample of 251 Brazilian adults. As a result, the 25 items (five items per factor) were selected, demonstrating promising evidence of validity based on the internal structure with a database of 1,659 Brazilian adults. In addition, we found good evidence of validity based on relationships with external variables, particularly those related to personality pathology, in a sample of 617 Brazilian adults. The implications of these findings are discussed.
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Fu J, Zhu J, Dong J, Wang Y, Wang S, Zhang X, Wen L, Fan H. Recovery From Severe Mental Illnesses: The Influence of Personal and Psychosocial Factors in Community Settings. Int J Ment Health Nurs 2024. [PMID: 39334331 DOI: 10.1111/inm.13440] [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: 04/07/2024] [Revised: 08/30/2024] [Accepted: 09/03/2024] [Indexed: 09/30/2024]
Abstract
Severe mental illnesses (SMIs) represent a significant public health challenge with substantial personal, economic and societal burdens. Despite treatment advances, recovery outcomes for SMI patients remain variable. This study aimed to investigate the influence of personal and psychosocial factors on recovery among SMI patients in community health settings. This cross-sectional study was conducted in 23 community health service centres in Nanjing, China. We recruited 924 participants diagnosed with SMIs, using a random sampling method. The relationships between individual, psychosocial factors and patients' recovery status were analysed by multiple linear regression. The mediation effect of medication adherence was further tested by the Sobel test with bootstrapping. The mean score of the Morningside Rehabilitation Status Scale (MRSS) of 924 patients with SMIs was 49.82 ± 41.52. The main influencing personal factors of recovery status were age, marital status, education, average annual income and duration of illness. Patients who were accepted by their families tended to have better recovery outcomes, while stigma and social impairment may hinder recovery. Medication adherence played a mediating role between psychosocial factors and recovery status. This study highlights the crucial role of psychosocial factors in the treatment and recovery of SMI patients. Furthermore, medication adherence emerged as a mediating factor. Implementing targeted interventions and policies addressing identified psychosocial barriers can offer promising avenues for improving recovery outcomes for SMI patients in community settings.
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Affiliation(s)
- Jie Fu
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jianwen Zhu
- School of Nursing, Nanjing Medical University, Nanjing, China
| | - Jiajia Dong
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yang Wang
- School of Nursing, Nanjing Medical University, Nanjing, China
| | - Sizhe Wang
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xia Zhang
- School of Nursing, Nanjing Medical University, Nanjing, China
| | - Lu Wen
- Nanjing Jiangning District Second People's Hospital, Nanjing, China
| | - Hong Fan
- School of Public Health, Nanjing Medical University, Nanjing, China
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Sarr R, Spain D, Quinton AMG, Happé F, Brewin CR, Radcliffe J, Jowett S, Miles S, González RA, Albert I, Scholwin A, Stirling M, Markham S, Strange S, Rumball F. Differential diagnosis of autism, attachment disorders, complex post-traumatic stress disorder and emotionally unstable personality disorder: A Delphi study. Br J Psychol 2024. [PMID: 39300915 DOI: 10.1111/bjop.12731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Accepted: 08/21/2024] [Indexed: 09/22/2024]
Abstract
Individuals diagnosed with autism, attachment disorders, emotionally unstable personality disorder (EUPD) or complex post-traumatic stress disorder (CPTSD) can present with similar features. This renders differential and accurate diagnosis of these conditions difficult, leading to diagnostic overshadowing and misdiagnosis. The purpose of this study was to explore professionals' perspectives on the differential diagnosis of autism, attachment disorders and CPTSD in young people; and of autism, CPTSD and EUPD in adults. A co-produced three-round Delphi study gathered information through a series of questionnaires from 106 international professionals with expertise in assessing and/or diagnosing at least one of these conditions. To provide specialist guidance and data triangulation, working groups of experts by experience, clinicians and researchers were consulted. Delphi statements were considered to have reached consensus if at least 80% of participants were in agreement. Two hundred and seventy-five Delphi statements reached consensus. Overlapping and differentiating features, methods of assessment, difficulties encountered during differential diagnosis and suggestions for improvements were identified. The findings highlight current practices for differential diagnosis of autism, attachment disorders, CPTSD and EUPD in young people and adults. Areas for future research, clinical and service provision implications, were also identified.
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Affiliation(s)
- Rachel Sarr
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Debbie Spain
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alice M G Quinton
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Francesca Happé
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Chris R Brewin
- Clinical Educational & Health Psychology, University College London, London, UK
| | | | | | - Sarah Miles
- South London and Maudsley NHS Trust, London, UK
| | - Rafael A González
- East London NHS Foundation Trust, London, UK
- Centre for Psychiatry, Imperial College London, London, UK
| | - Idit Albert
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- West London NHS Trust, London, UK
| | - Alix Scholwin
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Marguerite Stirling
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sarah Markham
- Department of Biostatistics & Health Informatics, King's College London, London, UK
| | - Sally Strange
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Freya Rumball
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Oxleas NHS Foundation Trust,Dartford, UK
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Leucht S, van Os J, Jäger M, Davis JM. Prioritization of Psychopathological Symptoms and Clinical Characterization in Psychiatric Diagnoses: A Narrative Review. JAMA Psychiatry 2024:2823588. [PMID: 39259534 DOI: 10.1001/jamapsychiatry.2024.2652] [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] [Indexed: 09/13/2024]
Abstract
Importance Psychiatry mainly deals with conditions that are mediated by brain function but are not directly attributable to specific brain abnormalities. Given the lack of concrete biological markers, such as laboratory tests or imaging results, the development of diagnostic systems is difficult. Observations This narrative review evaluated 9 diagnostic approaches. The validity of the DSM and the International Classification of Disorders (ICD) is limited. The Research Domain Criteria is a research framework, not a diagnostic system. The clinical utility of the quantitatively derived, dimensional Hierarchical Taxonomy of Psychopathology is questionable. The Psychodynamic Diagnostic Manual Version 2 follows psychoanalytic theory and focuses on personality. Unlike the personality assessments in ICD-11 or DSM-5's alternative model, based on pathological extremes of the big 5 traits (extraversion, agreeableness, openness, conscientiousness, and neuroticism), it lacks foundation in empirical evidence. Network analytic approaches are intriguing, but their complexity makes them difficult to implement. Staging would be easier if individually predictive biological markers were available. The problem with all these new approaches is that they abstract patient experiences into higher-order constructs, potentially obscuring individual symptoms so much that they no longer reflect patients' actual problems. Conclusions and Relevance ICD and DSM diagnoses can be questioned, but the reality of psychopathological symptoms, such as hallucinations, depression, anxiety, compulsions, and the suffering stemming from them, cannot. Therefore, it may be advisable to primarily describe patients according to the psychopathological symptoms they present, and any resulting personal syndromes, embedded in a framework of contextual clinical characterization including personality assessment and staging. The DSM and ICD are necessary for reimbursement, but they should be simplified and merged. A primarily psychopathological symptoms-based, clinical characterization approach would be multidimensional and clinically useful, because it would lead to problem-oriented treatment and support transdiagnostic research. It should be based on a universally used instrument to assess psychopathology and structured clinical characterization.
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Affiliation(s)
- Stefan Leucht
- Department of Psychiatry and Psychotherapy, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany
- German Center for Mental Health, CITY, Germany
| | - Jim van Os
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Markus Jäger
- Department of Psychiatry, Psychotherapy and Psychosomatic, District Hospital Kempten, Kempten, Germany
| | - John M Davis
- Psychiatric Institute, University of Illinois at Chicago, Chicago
- Johns Hopkins University, Baltimore, Maryland
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Wang J, Wang ZJ, Xu S. Effectiveness of propofol in anesthetic management and cognitive function in schizophrenic patients undergoing convulsion-free modified electroconvulsive therapy. Am J Transl Res 2024; 16:3787-3793. [PMID: 39262701 PMCID: PMC11384399 DOI: 10.62347/oxmw8152] [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: 03/15/2024] [Accepted: 06/20/2024] [Indexed: 09/13/2024]
Abstract
OBJECTIVE To investigate the effects of propofol on anesthetic effectiveness and cognitive functioning in schizophrenic patients undergoing convulsion-free modified electroconvulsive therapy (MECT). METHODS A retrospective analysis was conducted on the clinical data of 80 schizophrenia patients treated with MECT at the Affiliated Brain Hospital of Guangzhou Medical University from January 2021 to December 2023. Patients were divided into a control group (39 patients) receiving etomidate and an observation group (41 patients) receiving a combination of etomidate and propofol for general anesthesia induction. Parameters compared between the groups included systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), arterial oxygen saturation (SaO2), time to spontaneous respiration recovery, wakefulness time, cognitive function (assessed by the Wechsler Adult Intelligence Scale-Revised in China, WAIS-RC), symptom severity (measured by the Positive and Negative Syndrome Scale, PANSS), and adverse reactions. RESULTS No significant differences were observed in SBP, DBP, HR, and SaO2 between the groups over time, nor was there any interaction between group and time on these parameters (all P>0.05). However, the observation group showed significantly shorter times to spontaneous respiration recovery and wakefulness (both P<0.05). Post-treatment, the observation group also had higher WAIS-RC scores and lower PANSS scores, along with a reduced total incidence of adverse reactions (all P<0.05). CONCLUSION Propofol for the induction of general anesthesia in MECT, enhances clinical anesthetic outcomes, diminishes the impact on cognitive functions, and reduces the incidence of adverse reactions, thereby suggesting its high safety and efficacy.
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Affiliation(s)
- Jian Wang
- Department of Anesthesiology, The Affiliated Brain Hospital of Guangzhou Medical University Guangzhou 510370, Guangdong, China
| | - Zhi-Jie Wang
- Department of Anesthesiology, The Affiliated Brain Hospital of Guangzhou Medical University Guangzhou 510370, Guangdong, China
| | - Shan Xu
- Department of Anesthesiology, The Affiliated Brain Hospital of Guangzhou Medical University Guangzhou 510370, Guangdong, China
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Fiorillo A, Albert U, Dell'Osso B, Pompili M, Sani G, Sampogna G. The clinical utility and relevance in clinical practice of DSM-5 specifiers for major depressive disorder: A Delphi expert consensus study. Compr Psychiatry 2024; 133:152502. [PMID: 38810371 DOI: 10.1016/j.comppsych.2024.152502] [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: 12/29/2023] [Revised: 05/06/2024] [Accepted: 05/18/2024] [Indexed: 05/31/2024] Open
Abstract
Major depressive disorder (MDD) is a heterogeneous syndrome, associated with different levels of severity and impairment on the personal functioning for each patient. Classification systems in psychiatry, including ICD-11 and DSM-5, are used by clinicians in order to simplify the complexity of clinical manifestations. In particular, the DSM-5 introduced specifiers, subtypes, severity ratings, and cross-cutting symptom assessments allowing clinicians to better describe the specific clinical features of each patient. However, the use of DSM-5 specifiers for major depressive disorder in ordinary clinical practice is quite heterogeneous. The present study, using a Delphi method, aims to evaluate the consensus of a representative group of expert psychiatrists on a series of statements regarding the clinical utility and relevance of DSM-5 specifiers for major depressive disorder in ordinary clinical practice. Experts reached an almost perfect agreement on statements related to the use and clinical utility of DSM-5 specifiers in ordinary clinical practice. In particular, a complete consensus was found regarding the clinical utility for ordinary clinical practice of using DSM-5 specifiers. The use of specifiers is considered a first step toward a "dimensional" approach to the diagnosis of mental disorders.
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Affiliation(s)
- Andrea Fiorillo
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
| | - Umberto Albert
- Department of Medicine, Surgery and Health Sciences, University of Trieste and Department of Mental Health, Azienda Sanitaria Universitaria Giuliano Isontina - ASUGI, Italy
| | - Bernardo Dell'Osso
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences and Aldo Ravelli Center for Neurotechnology and Brain Therapeutic, University of Milan, Milano, Italy; Department of Psychiatry and Behavioural Sciences, Stanford University, USA
| | - Maurizio Pompili
- Department of Neurosciences, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University of Rome, Italy
| | - Gabriele Sani
- Department of Neuroscience, Section of Psychiatry, University Cattolica del Sacro Cuore, Rome, Italy; Department of Neuroscience, Sensory organs and Thorax, Department of Psychiatry, Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy
| | - Gaia Sampogna
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
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Namiot ED, Smirnovová D, Sokolov AV, Chubarev VN, Tarasov VV, Schiöth HB. Depression clinical trials worldwide: a systematic analysis of the ICTRP and comparison with ClinicalTrials.gov. Transl Psychiatry 2024; 14:315. [PMID: 39085220 PMCID: PMC11291508 DOI: 10.1038/s41398-024-03031-6] [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: 12/19/2023] [Revised: 07/16/2024] [Accepted: 07/18/2024] [Indexed: 08/02/2024] Open
Abstract
Major depressive disorder (MDD), commonly known as depression, affects over 300 million people worldwide as of 2018 and presents a wide range of clinical symptoms. The international clinical trials registry platform (ICTRP) introduced by WHO includes aggregated data from ClinicalTrials.gov and 17 other national registers, making it the largest clinical trial platform. Here we analysed data in ICTRP with the aim of providing comprehensive insights into clinical trials on depression. Applying a novel hidden duplicate identification method, 10,606 depression trials were identified in ICTRP, with ANZCTR being the largest non- ClinicalTrials.gov database at 1031 trials, followed by IRCT with 576 trials, ISRCTN with 501 trials, CHiCTR with 489 trials, and EUCTR with 351 trials. The top four most studied drugs, ketamine, sertraline, duloxetine, and fluoxetine, were consistent in both groups, but ClinicalTrials.gov had more trials for each drug compared to the non-ClinicalTrials.gov group. Out of 9229 interventional trials, 663 unique agents were identified, including approved drugs (74.5%), investigational drugs (23.2%), withdrawn drugs (1.8%), nutraceuticals (0.3%), and illicit substances (0.2%). Both ClinicalTrials.gov and non-ClinicalTrials.gov databases revealed that the largest categories were antidepressive agents (1172 in ClinicalTrials.gov and 659 in non-ClinicalTrials.gov) and nutrients, amino acids, and chemical elements (250 in ClinicalTrials.gov and 659 in non-ClinicalTrials.gov), indicating a focus on alternative treatments involving dietary supplements and nutrients. Additionally, 26 investigational antidepressive agents targeting 16 different drug targets were identified, with buprenorphine (opioid agonist), saredutant (NK2 antagonist), and seltorexant (OX2 antagonist) being the most frequently studied. This analysis addresses 40 approved drugs for depression treatment including new drug classes like GABA modulators and NMDA antagonists that are offering new prospects for treating MDD, including drug-resistant depression and postpartum depression subtypes.
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Affiliation(s)
- Eugenia D Namiot
- Department of Surgical Science, Functional Pharmacology and Neuroscience, University of Uppsala, Uppsala, Sweden
| | - Diana Smirnovová
- Department of Surgical Science, Functional Pharmacology and Neuroscience, University of Uppsala, Uppsala, Sweden
| | - Aleksandr V Sokolov
- Department of Surgical Science, Functional Pharmacology and Neuroscience, University of Uppsala, Uppsala, Sweden
| | - Vladimir N Chubarev
- Advanced Molecular Technologies, Limited Liability Company (LLC), Moscow, Russia
| | - Vadim V Tarasov
- Advanced Molecular Technologies, Limited Liability Company (LLC), Moscow, Russia
| | - Helgi B Schiöth
- Department of Surgical Science, Functional Pharmacology and Neuroscience, University of Uppsala, Uppsala, Sweden.
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Bean CAL, Mueller SB, Abitante G, Ciesla JA, Cho SJ, Cole DA. Improved Scoring of the Center for Epidemiologic Studies Depression Scale - Revised: An Item Response Theory Analysis. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2024; 46:783-792. [PMID: 39372194 PMCID: PMC11447136 DOI: 10.1007/s10862-024-10155-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/08/2024] [Indexed: 10/08/2024]
Abstract
The Center for Epidemiologic Studies Depression Scale - Revised (CESD-R) is a popular self-report screening measure for depression. A 20-item questionnaire with scores ranging from 0 to 4 for each item, the CESD-R can produce total scores ranging from 0 to 80. However, the typical scoring protocol for the CESD-R restricts the range of possible scores to between 0 and 60 to retain the same range and clinical cutoff scores as the original CES-D. Despite the widespread adoption of this scoring approach, the psychometric impact has never been systematically examined. In an undergraduate and community adult sample (n = 869), item response theory analyses indicated that scoring the CESD-R with all 5 response options (CESD-R5opt) provided nearly twice as much information about a person's latent depression for individuals with high levels of depression than did scoring the CESD-R with 4 response options per item (CESD-R4opt). The CESD-R5opt retained the strong reliability and factor structure of the CESD-R4opt and was more sensitive to individual differences for participants at high levels of depression compared to the CESD-R4opt. Results provide preliminary evidence that researchers and clinicians should score the CESD-R using the full 0-to-80 scale and a clinical cutoff score of 29. Supplementary Information The online version contains supplementary material available at 10.1007/s10862-024-10155-y.
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Affiliation(s)
- Christian A. L. Bean
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN USA
| | - Sophia B. Mueller
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN USA
| | - George Abitante
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN USA
| | - Jeffrey A. Ciesla
- Department of Psychological Sciences, Kent State University, Kent, OH USA
| | - Sun-Joo Cho
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN USA
| | - David A. Cole
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN USA
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Nafarieh K, Krüger S, Deutscher K, Schreiter S, Jung A, Fazel S, Heinz A, Gutwinski S. Prevalence of mental, behavioural or neurodevelopmental disorders according to the International Classification of Diseases 11: a scoping review protocol. BMJ Open 2024; 14:e081082. [PMID: 38885994 PMCID: PMC11184174 DOI: 10.1136/bmjopen-2023-081082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 04/15/2024] [Indexed: 06/20/2024] Open
Abstract
INTRODUCTION Due to a change in diagnostic prerequisites and the inclusion of novel diagnostic entities, the implementation of the 11th revision of the International Classification of Diseases (ICD-11) will presumably change prevalence rates of specific mental, behavioural or neurodevelopmental disorders and result in an altered prevalence rate for this grouping overall. This scoping review aims to summarise the characteristics of primary studies examining the prevalence of mental, behavioural or neurodevelopmental disorders based on ICD-11 criteria. The knowledge attained through this review will primarily characterise the methodological approaches of this research field and additionally assist in deciding which psychiatric diagnoses are-given the current literature-most relevant for subsequent systematic reviews and meta-analyses intended to approximate the magnitude of prevalence rates while providing a first glimpse of the range of expected (differences in) prevalence rates in these conditions. METHODS AND ANALYSIS MEDLINE, Embase, Web of Science and PsycINFO will be searched from 2011 to present without any language filters. This scoping review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Review guidelines.We will consider (a) cross-sectional and longitudinal studies (b) focusing on the prevalence rates of mental, behavioural or neurodevelopmental disorders (c) using ICD-11 criteria for inclusion. The omission of (a) case numbers and sample size, (b) study period and period of data collection or (c) diagnostic procedures on full-text level is considered an exclusion criterion.This screening will be conducted by two reviewers independently from one another and a third reviewer will be consulted with disagreements. Data extraction and synthesis will focus on outlining methodological aspects. ETHICS AND DISSEMINATION We intend to publish our review in a scientific journal. As the primary data are publicly available, we do not require research ethics approval.
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Affiliation(s)
- Kiana Nafarieh
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany
| | - Sophia Krüger
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany
| | - Karl Deutscher
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany
| | - Stefanie Schreiter
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany
| | | | - Seena Fazel
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany
| | - Stefan Gutwinski
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany
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Lian J, Lin Z, Li X, Chen G, Wu D. Different dosage regimens of zuranolone in the treatment of major depressive disorder: A meta-analysis of randomized controlled trials. J Affect Disord 2024; 354:206-215. [PMID: 38479510 DOI: 10.1016/j.jad.2024.03.057] [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: 11/06/2023] [Revised: 02/06/2024] [Accepted: 03/09/2024] [Indexed: 03/21/2024]
Abstract
OBJECTIVE To investigate the efficacy and safety of different dosage regimens of zuranolone in the treatment of patients with major depressive disorder (MDD). METHODS PubMed, Embase, The Cochrane Library and other databases were searched from inception until July 2019. Randomized controlled trials (RCTs) related to the efficacy and safety of zuranolone in the treatment of MDD were included. The data were extracted independently by 2 investigators and assessed the study quality by the Cochrane risk-of-bias tool. The primary outcome includes the 17-item HAMILTON total score (HAMD-17) and the incidence of adverse events (AEs). RESULTS Six high-quality RCTs with 1593 patients were finally included in our analysis. Zuranolone group achieve a notable treatment effect at day15 in HAMD-17 compared with placebo group (MD = -2.69, 95 % CI: -4.45 to -0.94, P < 0.05). For safety, no significant differences existed in the proportion of patients with AEs between zuranolone with placebo (RR = 1.25, 95 % CI: 0.99 to 1.58, P = 0.06). CONCLUSION Zuranolone has a significant efficacy in improving depressive symptoms in the short term and is positively correlated with the dosage administered. However, the efficacy of zuranolone decreased significantly when the time of administration was extended. Zuranolone demonstrated a controllable safety issue. But adverse effects increased as the dose of zuranolone was gradually increased to 50 mg.
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Affiliation(s)
- Jinrong Lian
- Department of Clinical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Zhimin Lin
- Department of Clinical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Xiang Li
- Department of Clinical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Gang Chen
- Department of Clinical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
| | - Depei Wu
- Department of Clinical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
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11
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Chessa A, Sentissi O. [ICD-11: New revision and impact of this classification in psychiatry]. L'ENCEPHALE 2024; 50:329-338. [PMID: 38092593 DOI: 10.1016/j.encep.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 09/26/2023] [Accepted: 10/27/2023] [Indexed: 05/31/2024]
Abstract
OBJECTIVES After more than 20 years of work, the World Health Organization's efforts have culminated in the adoption of the 11th revision of the International Classification of Diseases (ICD-11). The process has been guided by the principles of global applicability, scientific validity, and clinical utility. The update of the chapter on mental, behavioral, and neurodevelopmental disorders (MBND) within the ICD-11 has generated widespread interest worldwide. This has raised various questions about the status of mental disorder nosology, changes to diagnostic guidelines, and the potential implications for clinical practice. METHODS We conducted a narrative analysis of the literature in four different languages to track the various stages of the ICD-11 revision and to highlight the major changes. We searched databases such as PubMed, EMBASE, MEDLINE, and Google Scholar, and consulted the official websites of the WHO, APA, and UNICEF. A total of 79 articles from 40 different editorials and websites were analyzed and included in this study. RESULTS The new chapters on mental disorders in the ICD-11 include 21 groups, as opposed to the 11 in the ICD-10. The changes aim to align the diagnoses with those of the DSM-5 and introduce a new chapter structure, new diagnostic categories, modifications to diagnostic criteria, and advancements in dimensionality. For the first time in the history of the ICD, sleep and wakefulness disorders, as well as disorders related to sexual health, have been addressed in separate chapters of the international classification. Four new diagnoses have been added: complex post-traumatic stress disorder (PTSD), gaming disorder, prolonged grief disorder, and compulsive sexual behavior which replaces "excessive sexual activity" in the ICD-10. Moreover, the ICD-11 revision has brought about a fundamental change in the clinical conceptualization of addictive behaviors, introducing a distinction between substance use disorders and addictive behaviors. The criteria for many existing conditions have been revised, particularly those related to bipolar disorders, eating disorders, and gender identity disorders. CONCLUSIONS The revision process for mental, behavioral, and neurodevelopmental disorders in the ICD-11 has witnessed unprecedented participation in the history of mental disorder classification. These changes could have a significant impact on clinical practice in psychiatry. However, it is crucial to examine the advantages and limitations of this new classification compared to previous versions.
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Affiliation(s)
- Ambra Chessa
- Département de psychiatrie, service de psychiatrie adulte, CAPPI jonction, hôpitaux universitaires Genève, 35, rue des Bains, 1205 Genève, Suisse
| | - Othman Sentissi
- Département de psychiatrie, service de psychiatrie adulte, CAPPI jonction, hôpitaux universitaires Genève, 35, rue des Bains, 1205 Genève, Suisse.
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Zahr NM. Alcohol Use Disorder and Dementia: A Review. Alcohol Res 2024; 44:03. [PMID: 38812709 PMCID: PMC11135165 DOI: 10.35946/arcr.v44.1.03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2024] Open
Abstract
PURPOSE By 2040, 21.6% of Americans will be over age 65, and the population of those older than age 85 is estimated to reach 14.4 million. Although not causative, older age is a risk factor for dementia: every 5 years beyond age 65, the risk doubles; approximately one-third of those older than age 85 are diagnosed with dementia. As current alcohol consumption among older adults is significantly higher compared to previous generations, a pressing question is whether drinking alcohol increases the risk for Alzheimer's disease or other forms of dementia. SEARCH METHODS Databases explored included PubMed, Web of Science, and ScienceDirect. To accomplish this narrative review on the effects of alcohol consumption on dementia risk, the literature covered included clinical diagnoses, epidemiology, neuropsychology, postmortem pathology, neuroimaging and other biomarkers, and translational studies. Searches conducted between January 12 and August 1, 2023, included the following terms and combinations: "aging," "alcoholism," "alcohol use disorder (AUD)," "brain," "CNS," "dementia," "Wernicke," "Korsakoff," "Alzheimer," "vascular," "frontotemporal," "Lewy body," "clinical," "diagnosis," "epidemiology," "pathology," "autopsy," "postmortem," "histology," "cognitive," "motor," "neuropsychological," "magnetic resonance," "imaging," "PET," "ligand," "degeneration," "atrophy," "translational," "rodent," "rat," "mouse," "model," "amyloid," "neurofibrillary tangles," "α-synuclein," or "presenilin." When relevant, "species" (i.e., "humans" or "other animals") was selected as an additional filter. Review articles were avoided when possible. SEARCH RESULTS The two terms "alcoholism" and "aging" retrieved about 1,350 papers; adding phrases-for example, "postmortem" or "magnetic resonance"-limited the number to fewer than 100 papers. Using the traditional term, "alcoholism" with "dementia" resulted in 876 citations, but using the currently accepted term "alcohol use disorder (AUD)" with "dementia" produced only 87 papers. Similarly, whereas the terms "Alzheimer's" and "alcoholism" yielded 318 results, "Alzheimer's" and "alcohol use disorder (AUD)" returned only 40 citations. As pertinent postmortem pathology papers were published in the 1950s and recent animal models of Alzheimer's disease were created in the early 2000s, articles referenced span the years 1957 to 2024. In total, more than 5,000 articles were considered; about 400 are herein referenced. DISCUSSION AND CONCLUSIONS Chronic alcohol misuse accelerates brain aging and contributes to cognitive impairments, including those in the mnemonic domain. The consensus among studies from multiple disciplines, however, is that alcohol misuse can increase the risk for dementia, but not necessarily Alzheimer's disease. Key issues to consider include the reversibility of brain damage following abstinence from chronic alcohol misuse compared to the degenerative and progressive course of Alzheimer's disease, and the characteristic presence of protein inclusions in the brains of people with Alzheimer's disease, which are absent in the brains of those with AUD.
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Affiliation(s)
- Natalie M Zahr
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California. Center for Health Sciences, SRI International, Menlo Park, California
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Zhang M, Wang Y, Jakob R, Su S, Bai X, Jing X, Xue X, Liao A, Li N, Wang Y. Methodologies and key considerations for implementing the International Classification of Diseases-11th revision morbidity coding: insights from a national pilot study in China. J Am Med Inform Assoc 2024; 31:1084-1092. [PMID: 38427850 PMCID: PMC11031236 DOI: 10.1093/jamia/ocae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/05/2024] [Accepted: 02/09/2024] [Indexed: 03/03/2024] Open
Abstract
OBJECTIVE The aim of this study was to disseminate insights from a nationwide pilot of the International Classification of Diseases-11th revision (ICD-11). MATERIALS AND METHODS The strategies and methodologies employed to implement the ICD-11 morbidity coding in 59 hospitals in China are described. The key considerations for the ICD-11 implementation were summarized based on feedback obtained from the pilot hospitals. Coding accuracy and Krippendorff's alpha reliability were computed based on the coding results in the ICD-11 exam. RESULTS Among the 59 pilot hospitals, 58 integrated ICD-11 Coding Software into their health information management systems and 56 implemented the ICD-11 in morbidity coding, resulting in 3 723 959 diagnoses for 873 425 patients being coded over a 2-month pilot coding phase. The key considerations in the transition to the ICD-11 in morbidity coding encompassed the enrichment of ICD-11 content, refinement of tools, provision of systematic and tailored training, improvement of clinical documentation, promotion of downstream data utilization, and the establishment of a national process and mechanism for implementation. The overall coding accuracy was 82.9% when considering the entire coding field (including postcoordination) and 92.2% when only one stem code was considered. Krippendorff's alpha was 0.792 (95% CI, 0.788-0.796) and 0.799 (95% CI, 0.795-0.803) with and without consideration of the code sequence, respectively. CONCLUSION This nationwide pilot study has enhanced national technical readiness for the ICD-11 implementation in morbidity, elucidating key factors warranting careful consideration in future endeavors. The good accuracy and intercoder reliability of the ICD-11 coding achieved following a brief training program underscore the potential for the ICD-11 to reduce training costs and provide high-quality health data. Experiences and lessons learned from this study have contributed to WHO's work on the ICD-11 and can inform other countries when formulating their transition plan.
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Affiliation(s)
- Meng Zhang
- Department of Medical Records, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Collaborating Center for the WHO Family of International Classifications in China, Beijing 100730, China
- National Center for Quality Control of Medical Records, Beijing 100730, China
| | - Yipeng Wang
- Collaborating Center for the WHO Family of International Classifications in China, Beijing 100730, China
- Department of Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Robert Jakob
- World Health Organization, Geneva 1211, Switzerland
| | - Shanna Su
- Department of Medical Records, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Collaborating Center for the WHO Family of International Classifications in China, Beijing 100730, China
- National Center for Quality Control of Medical Records, Beijing 100730, China
| | - Xue Bai
- Department of Medical Records, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Collaborating Center for the WHO Family of International Classifications in China, Beijing 100730, China
- National Center for Quality Control of Medical Records, Beijing 100730, China
| | - Xiaotong Jing
- Department of Medical Records, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Collaborating Center for the WHO Family of International Classifications in China, Beijing 100730, China
- National Center for Quality Control of Medical Records, Beijing 100730, China
| | - Xin Xue
- Department of Medical Records, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Collaborating Center for the WHO Family of International Classifications in China, Beijing 100730, China
- National Center for Quality Control of Medical Records, Beijing 100730, China
| | - Aimin Liao
- Department of Medical Records, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Collaborating Center for the WHO Family of International Classifications in China, Beijing 100730, China
- National Center for Quality Control of Medical Records, Beijing 100730, China
| | - Naishi Li
- Department of Medical Records, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Collaborating Center for the WHO Family of International Classifications in China, Beijing 100730, China
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Yi Wang
- Department of Medical Records, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Collaborating Center for the WHO Family of International Classifications in China, Beijing 100730, China
- National Center for Quality Control of Medical Records, Beijing 100730, China
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Meisenzahl E, Wege N, Stegmüller V, Schulte-Körne G, Greimel E, Dannlowski U, Hahn T, Romer G, Romanos M, Deserno L, Klingele C, Theisen C, Kieckhäfer C, Forstner A, Ruhrmann S, Schultze-Lutter F. Clinical high risk state of major depressive episodes: Assessment of prodromal phase, its occurrence, duration and symptom patterns by the instrument the DEpression Early Prediction-INventory (DEEP-IN). J Affect Disord 2024; 351:403-413. [PMID: 38181843 DOI: 10.1016/j.jad.2023.12.084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 12/20/2023] [Accepted: 12/28/2023] [Indexed: 01/07/2024]
Abstract
BACKGROUND To decrease the incidence of major depressive episodes, indicated prevention that targets clinical high-risk individuals with first detectable signs that forecast mental disorder is a highly relevant topic of preventive psychiatry. Still little is known about the prodrome of MDE. The aim of the current study was to identify the occurrence of a clinical high-risk state of depression, its duration and symptom constellation. METHODS Seventy-three patients with a diagnosed affective disorder in partial remission were assessed with our newly developed semi-structured extensive clinical instrument, the DEpression Early Prediction-INventory (DEEP-IN). Within DEEP-IN the course of prodromal symptoms was explored by using a life-chart method. RESULTS The significant majority of patients (93.2 %) reported a prodromal phase. The mean duration was 7.9 months (SD = 12.5). Within the group with an identified prodromal phase, psychopathological (95.6 %) as well as somatic symptoms (88.2 %) were reported. Somatic symptoms showed a moderate-to-strong effect of sex with higher prevalence in females than in males (97.6 % vs 73.1 %; V = 0.370). LIMITATIONS This feasibility study had only a small sample size. CONCLUSIONS The majority of patients with affective disorders reported a clinical prodromal phase with both psychopathological and somatic symptoms that developed months before the onset of the depressive episode. The development of structured instruments for the assessment of depressive risk states is a promising approach for indicated prevention of depression in the future.
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Affiliation(s)
- Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, LVR Düsseldorf, Düsseldorf, Germany.
| | - Natalia Wege
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, LVR Düsseldorf, Düsseldorf, Germany
| | - Veronika Stegmüller
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, LVR Düsseldorf, Düsseldorf, Germany
| | - Gerd Schulte-Körne
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Ellen Greimel
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Muenster, Muenster, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Muenster, Muenster, Germany
| | - Georg Romer
- Department of Child Adolescence Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
| | - Marcel Romanos
- Centre of Mental Health, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany
| | - Lorenz Deserno
- Centre of Mental Health, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Neuroimaging Center, Technical University of Dresden, Dresden, Germany
| | - Cosima Klingele
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Christian Theisen
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, LVR Düsseldorf, Düsseldorf, Germany
| | - Carolin Kieckhäfer
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, LVR Düsseldorf, Düsseldorf, Germany
| | - Andreas Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Stefan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, LVR Düsseldorf, Düsseldorf, Germany
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15
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Eilers R, Ertl V, Kasparik B, Kost A, Rosner R. [Posttraumatic stress disorder in children and adolescents: results of a cross-sectional study on the effects of the newly formulated PTSD and CPTSD diagnoses in the ICD-11]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2024; 67:409-418. [PMID: 38498186 PMCID: PMC10995073 DOI: 10.1007/s00103-024-03860-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/27/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND ICD-11 presents narrowed criteria for posttraumatic stress disorder (PTSD) and introduces complex PTSD (CPTSD) with additional difficulties in self-organization (DSO). These changes can have significant effects on the frequency of the diagnosis. The aim of this study was to investigate which ICD-11 symptom clusters cause children and adolescents to miss the diagnosis and whether caregivers are more likely to attribute changes in DSO to developmental level or to the traumatic event, and how these attributions are in turn related to symptom severity. METHODS N = 88 German-speaking children and adolescents (age: 7-17 years) after traumatic events and N = 79 caregivers participated between September 2019 and November 2020 in a survey on PTSD symptom severity (CATS-2) and attribution of DSO symptoms (caregiver questionnaire). RESULTS The ICD-11 criteria (CATS‑2 and a developmentally adapted version) showed lower frequency rates for PTSD as compared to DSM‑5 and ICD-10. The ICD-11 clusters re-experiencing and hyperarousal were met the least often. Changes in DSO symptoms were predominantly rated as event-related. This attribution was associated with higher PTSD and DSO symptom severity in caregiver reports. The age-related attribution was associated with higher DSO-symptom severity, but not PTSD symptom severity in caregiver reports. DISCUSSION In the context of the diagnostic process and the revision of diagnostic instruments for ICD-11 (C)PTSD, development-specific symptoms should be taken into account. The trauma-related differentiation of DSO symptom changes as compared to development-related fluctuations is challenging and therefore requires several sources of information.
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Affiliation(s)
- Rebekka Eilers
- Institut für Psychologie, Katholische Universität Eichstätt-Ingolstadt, Eichstätt, Deutschland
| | - Verena Ertl
- Institut für Psychologie, Katholische Universität Eichstätt-Ingolstadt, Eichstätt, Deutschland.
- Katholische Universität Eichstätt-Ingolstadt, Ostenstr. 25, 85072, Eichstätt, Deutschland.
| | - Barbara Kasparik
- Institut für Psychologie, Katholische Universität Eichstätt-Ingolstadt, Eichstätt, Deutschland
| | - Anne Kost
- Altonaer Kinderkrankenhaus, Kinder- und Jugendsomatik, Hamburg, Deutschland
| | - Rita Rosner
- Institut für Psychologie, Katholische Universität Eichstätt-Ingolstadt, Eichstätt, Deutschland
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16
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Early E, Devine P. Men's Health in Northern Ireland: Why do we need a men's health policy? SOCIOLOGY OF HEALTH & ILLNESS 2024; 46:236-256. [PMID: 37578651 DOI: 10.1111/1467-9566.13697] [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: 11/07/2022] [Accepted: 07/10/2023] [Indexed: 08/15/2023]
Abstract
Males accounted for half the United Kingdom population in 2021 yet they fail to be prioritised in health and social policies. As examining the health of males and females collectively falls short in accounting for the complexities associated with gendered health outcomes, male health should be considered as a separate policy issue. The island of Ireland has two jurisdictions, the Republic of Ireland and Northern Ireland (NI); however, only the former has implemented a men's health policy. As well as a policy vacuum within NI, few studies have comprehensively examined male health. To address this shortcoming, a narrative review of males' physical and mental health trends in NI is presented to determine the need for a men's health policy. A collation of secondary administrative data and survey data was conducted. The narrative review highlights the importance of utilising a holistic framework to understand men's health. Key findings include high male suicide rates and young males being more likely to report certain mental health problems. The study concludes that a male health policy is needed. To achieve this, a Health Impact Pyramid was developed, and it illustrates practical steps that can be taken to support decision-makers, service providers and individual males.
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Affiliation(s)
- Erin Early
- School of Social Sciences, Education and Social Work, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Paula Devine
- ARK, School of Social Sciences, Education and Social Work, Queen's University Belfast, Belfast, Northern Ireland, UK
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17
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Loreto BBL, Sordi AO, de Castro MN, Ornell F, Guarnieri EP, Roza TH, Schuch JB, Cima MDS, Pechansky F, Grevet EH, Grassi-Oliveira R, von Diemen L, Kessler FHP. Proposing an integrative, dynamic and transdiagnostic model for addictions: dysregulation phenomena of the three main modes of the predostatic mind. Front Psychiatry 2024; 14:1298002. [PMID: 38274436 PMCID: PMC10808830 DOI: 10.3389/fpsyt.2023.1298002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/28/2023] [Indexed: 01/27/2024] Open
Abstract
Several theories have been proposed to explain the complex diagnostic aspects related to addiction disorders and their development. Recent frameworks tend to focus on dimensional perspectives of symptoms rather than categorical systems, since substance use disorders are frequently comorbid with other psychiatric and especially personality disorders. However, useful transdiagnostic models that could integrate clinical evaluation derived from neuroscientific theories are lacking. In the present manuscript, the authors propose a model based on a new paradigm, in an attempt to better explain this complex, multifaceted phenomenon. The new paradigm presupposes that emotions and behavior are a response to risk prediction. Individuals make choices and engage in actions to manage potential risks/rewards in order to seek or maintain homeostasis in their internal and external environments - a mechanism that the authors call predostatic (predictive mechanism with homeostatic purpose). The model considers three main modes of the predostatic mind: (1) Alarm Mode, activated by high and/or imminent risk prediction; (2) Seek Mode, activated by long-term risk or reward prediction; and (3) Balance Mode, a self-regulating state of mind related to low risk prediction, a soothing system and a calm state. Addiction is seen as a chronic dysregulation of organism systems leading to internalizing or externalizing phenomena mainly related to the Seek and Alarm Modes, which are persistently activated by reward and risk prediction, respectively, thus hindering Balance. Addiction neuroscience research has shown that chronic drug use or engagement in addictive behaviors can lead to neuroadaptations in the brain reward circuitry, disrupting normal balance and the regulation of reward processes. This dysregulation can contribute to persistent drug-seeking/addictive behaviors despite negative consequences. This newly proposed dynamic and integrative model, named dysregulation based on externalizing and internalizing phenomena of the three main modes of the predostatic mind (DREXI3), proposes six dysregulation dimensions with basic emotional and behavioral symptoms, such as neurophysiological alterations, impulsivity, compulsion, cognitive impairment/psychosis, mood, and anxiety/anger. In this paper, the authors explain the rationale behind DREXI3 and present some hypothetical clinical examples to better illustrate the use of the model in clinical practice. The development of this innovative model could possibly guide tailored treatment interventions in the addiction field.
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Affiliation(s)
- Bibiana Bolten Lucion Loreto
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry and Legal Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Anne Orgler Sordi
- Addiction and Forensic Psychiatry Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Center for Drug and Alcohol Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Melina Nogueira de Castro
- Addiction and Forensic Psychiatry Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Felipe Ornell
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry and Legal Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Center for Drug and Alcohol Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Eduardo Pegoraro Guarnieri
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry and Legal Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Center for Drug and Alcohol Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | | | - Jaqueline Bohrer Schuch
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry and Legal Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Center for Drug and Alcohol Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Marcos da Silveira Cima
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry and Legal Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Flavio Pechansky
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry and Legal Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Center for Drug and Alcohol Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Eugênio Horácio Grevet
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry and Legal Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Rodrigo Grassi-Oliveira
- Department of Clinical Medicine, Translational Neuropsychiatry Unit, Aarhus University, Aarhus, Denmark
| | - Lisia von Diemen
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry and Legal Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Center for Drug and Alcohol Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Felix Henrique Paim Kessler
- Graduate Program in Psychiatry and Behavioral Sciences, Department of Psychiatry and Legal Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
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Sipowicz K, Pietras T, Kosmalski M. Feelings of loneliness and meaning in life in subjects with Asperger's syndrome: a pilot study. Sci Rep 2023; 13:17453. [PMID: 37838751 PMCID: PMC10576817 DOI: 10.1038/s41598-023-43826-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 09/28/2023] [Indexed: 10/16/2023] Open
Abstract
Subjects with Asperger's syndrome without intellectual disabilities have significant difficulties in establishing social relationships despite their IQ being within the normal range. One of the effects of social deficit is depression. The question arises whether loneliness and dimensions of meaning in life correlate with the severity of depression and whether the average severity of depression, loneliness and dimensions of meaning in life differentiate the following groups: people with Asperger's syndrome and depression, people with Asperger's syndrome without depression, people with depression without Asperger's syndrome and healthy subjects. The study was conducted on a total of 170 people, including: 43 people with Asperger's syndrome and depression, 41 people with Asperger's syndrome without depression, 40 people with depression without Asperger's syndrome and 46 healthy people (without Asperger's syndrome and without depression). All were administered a demographic survey, Beck Depression Inventory II (BDI-II), De Jong Gierveld Loneliness Scale, Life Attitude Profile-Revised. Asperger's syndrome and depressive episodes were diagnosed on the basis of ICD-10 research criteria still applicable in Poland. In the group with Asperger's syndrome and depression the highest levels of loneliness and the lowest values of the dimensions of the sense of meaning in life, except for the acceptance of death, were observed. This result was significantly different from the results obtained in the other study groups. Both in people with Asperger's syndrome without depression and in people with depression without Asperger's syndrome, the values of the dimensions of the sense of meaning in life and the level of loneliness differ significantly from the results obtained in the control group. The BDI-II scores correlated positively with the loneliness values and negatively with the sense of meaning in life values in all groups. The results indicate that both suffering from depression and having Asperger's syndrome are associated with an increased sense of loneliness and a reduced sense of meaning in life. People with Asperger's syndrome and depression have the highest values of loneliness and the lowest values of dimensions of the sense of meaning of life compared to the other groups studied. The limitation of the work is the deliberate selection of groups, because it would be interesting to answer the question whether Asperger's syndrome is a risk factor for depression in the population.
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Affiliation(s)
- Kasper Sipowicz
- Department of Interdisciplinary Disability Studies, The Maria Grzegorzewska University in Warsaw, 02-353, Warsaw, Poland
| | - Tadeusz Pietras
- The Second Department of Psychiatry, Institute of Psychiatry and Neurology in Warsaw, 02-957, Warsaw, Poland
- Department of Clinical Pharmacology, Medical University of Lodz, 90-153, Lodz, Poland
| | - Marcin Kosmalski
- Department of Clinical Pharmacology, Medical University of Lodz, 90-153, Lodz, Poland.
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19
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Gaebel W. [ICD-11 Between Development and Implementation]. FORTSCHRITTE DER NEUROLOGIE-PSYCHIATRIE 2023; 91:394-396. [PMID: 37848018 DOI: 10.1055/a-2124-6828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
Zum 1. Januar 2022 hat die WHO den Beginn des weltweiten Umstiegs von ICD-10 auf
ICD-11 für die Berichterstattung zur Todesursachenstatistik anhand der neuen
Mortality and Morbidity Statistics (MMS) festgesetzt und flexibel auf
zunächst 5 Jahre terminiert.
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20
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Misiak B, Samochowiec J, Kowalski K, Gaebel W, Bassetti CLA, Chan A, Gorwood P, Papiol S, Dom G, Volpe U, Szulc A, Kurimay T, Kärkkäinen H, Decraene A, Wisse J, Fiorillo A, Falkai P. The future of diagnosis in clinical neurosciences: Comparing multiple sclerosis and schizophrenia. Eur Psychiatry 2023; 66:e58. [PMID: 37476977 PMCID: PMC10486256 DOI: 10.1192/j.eurpsy.2023.2432] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/12/2023] [Accepted: 06/14/2023] [Indexed: 07/22/2023] Open
Abstract
The ongoing developments of psychiatric classification systems have largely improved reliability of diagnosis, including that of schizophrenia. However, with an unknown pathophysiology and lacking biomarkers, its validity still remains low, requiring further advancements. Research has helped establish multiple sclerosis (MS) as the central nervous system (CNS) disorder with an established pathophysiology, defined biomarkers and therefore good validity and significantly improved treatment options. Before proposing next steps in research that aim to improve the diagnostic process of schizophrenia, it is imperative to recognize its clinical heterogeneity. Indeed, individuals with schizophrenia show high interindividual variability in terms of symptomatic manifestation, response to treatment, course of illness and functional outcomes. There is also a multiplicity of risk factors that contribute to the development of schizophrenia. Moreover, accumulating evidence indicates that several dimensions of psychopathology and risk factors cross current diagnostic categorizations. Schizophrenia shares a number of similarities with MS, which is a demyelinating disease of the CNS. These similarities appear in the context of age of onset, geographical distribution, involvement of immune-inflammatory processes, neurocognitive impairment and various trajectories of illness course. This article provides a critical appraisal of diagnostic process in schizophrenia, taking into consideration advancements that have been made in the diagnosis and management of MS. Based on the comparison between the two disorders, key directions for studies that aim to improve diagnostic process in schizophrenia are formulated. All of them converge on the necessity to deconstruct the psychosis spectrum and adopt dimensional approaches with deep phenotyping to refine current diagnostic boundaries.
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Affiliation(s)
- Błażej Misiak
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, Szczecin, Poland
| | | | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, LVR-Klinikum Düsseldorf, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
- WHO Collaborating Centre on Quality Assurance and Empowerment in Mental Health, DEU-131, Düsseldorf, Germany
| | - Claudio L. A. Bassetti
- Department of Neurology, Inselspital, Bern University Hospital, University Bern, Switzerland
- Interdisciplinary Sleep-Wake-Epilepsy-Center, Inselspital, Bern University Hospital, University Bern, Bern, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University Bern, Switzerland
| | - Philip Gorwood
- Université Paris Cité, INSERM, U1266 (Institute of Psychiatry and Neuroscience of Paris), Paris, France
- CMME, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France
| | - Sergi Papiol
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University, Munich, Germany
| | - Geert Dom
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp, B-2610Antwerp, Belgium
- Multiversum Psychiatric Hospital, B-2530Boechout, Belgium
| | - Umberto Volpe
- Unit of Clinical Psychiatry, Department of Clinical Neurosciences/DIMSC, Polytechnic University of Marche, 60126Ancona, Italy
| | - Agata Szulc
- Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland
| | - Tamas Kurimay
- Department of Psychiatry, St. Janos Hospital, Budapest, Hungary
| | | | - Andre Decraene
- European Federation of Associations of Families of People with Mental Illness (EUFAMI), Leuven, Belgium
| | - Jan Wisse
- Century House, Wargrave Road, Henley-on-Thames, OxfordshireRG9 2LT, UK
| | - Andrea Fiorillo
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336Munich, Germany
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21
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James R, Daukantaité D, Nilsson M. A validation of the Swedish self-concept and Identity Measure (SCIM) and its association with mental health problems. Heliyon 2023; 9:e18151. [PMID: 37519721 PMCID: PMC10372226 DOI: 10.1016/j.heliyon.2023.e18151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 06/20/2023] [Accepted: 07/10/2023] [Indexed: 08/01/2023] Open
Abstract
Pathological disturbance to one's identity is closely linked with mental illness and in particular personality disorders. Current measures of identity pathology within clinical research are nevertheless inconsistently used and present with substantial limitations such as disproportionate focus on adolescence. The Self-Concept and Identity Measure (SCIM) identifies pathological and non-pathological identity disturbance by implementing a measurement for clinical components of identity, as well as introducing the Lack of Identity concept. This study thus explores the psychometric properties (factor structure, internal consistency, and criterion validity) of the Swedish SCIM in a large sample of Swedish university students (N = 1500). Model fit indices for the three-dimension model of identity pathology consisting of consolidated-, disturbed-, and lack of identity subscales were deemed acceptable and the Swedish SCIM scores correlated with measures of psychopathology in the expected direction, together concluding that the Swedish SCIM was satisfactorily valid and reliable. The results further reveal a significant positive correlation between identity pathology and non-suicidal self-injury, two concepts that co-occur in psychopathologies, such as borderline personality disorder, but have not yet been studied in a Western population with this tool. The potential clinical use of this translated dimensional tool needs to be tested in a Swedish clinical population, however, we conclude that it already offers insight into the complexities of identity functioning and correlations with clinical symptoms.
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Affiliation(s)
- Rosie James
- Faculty of Medicine at Lund University, Sweden
- Department of Clinical Sciences Lund, Psychiatry, Lund University, Sweden
| | | | - Magnus Nilsson
- Department of Clinical Sciences Lund, Psychiatry, Lund University, Sweden
- Clinical Psychiatric Research Centre, Region Skåne, Lund, Sweden
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22
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Zeng J, Zhang Y, Xiang Y, Liang S, Xue C, Zhang J, Ran Y, Cao M, Huang F, Huang S, Deng W, Li T. Optimizing multi-domain hematologic biomarkers and clinical features for the differential diagnosis of unipolar depression and bipolar depression. NPJ MENTAL HEALTH RESEARCH 2023; 2:4. [PMID: 38609642 PMCID: PMC10955811 DOI: 10.1038/s44184-023-00024-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 03/01/2023] [Indexed: 04/14/2024]
Abstract
There is a lack of objective features for the differential diagnosis of unipolar and bipolar depression, especially those that are readily available in practical settings. We investigated whether clinical features of disease course, biomarkers from complete blood count, and blood biochemical markers could accurately classify unipolar and bipolar depression using machine learning methods. This retrospective study included 1160 eligible patients (918 with unipolar depression and 242 with bipolar depression). Patient data were randomly split into training (85%) and open test (15%) sets 1000 times, and the average performance was reported. XGBoost achieved the optimal open-test performance using selected biomarkers and clinical features-AUC 0.889, sensitivity 0.831, specificity 0.839, and accuracy 0.863. The importance of features for differential diagnosis was measured using SHapley Additive exPlanations (SHAP) values. The most informative features include (1) clinical features of disease duration and age of onset, (2) biochemical markers of albumin, low density lipoprotein (LDL), and potassium, and (3) complete blood count-derived biomarkers of white blood cell count (WBC), platelet-to-lymphocyte ratio (PLR), and monocytes (MONO). Overall, onset features and hematologic biomarkers appear to be reliable information that can be readily obtained in clinical settings to facilitate the differential diagnosis of unipolar and bipolar depression.
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Affiliation(s)
- Jinkun Zeng
- Hangzhou Seventh People's Hospital, Affiliated Mental Health Center, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yaoyun Zhang
- Alibaba Damo Academy, 969 West Wen Yi Road, Yu Hang District, Hangzhou, Zhejiang, China
| | - Yutao Xiang
- Center for Cognition and Brain Sciences, Unit of Psychiatry, Institute of Translational Medicine, University of Macau, Macao, China
| | - Sugai Liang
- Hangzhou Seventh People's Hospital, Affiliated Mental Health Center, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Chuang Xue
- Hangzhou Seventh People's Hospital, Affiliated Mental Health Center, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Junhang Zhang
- Hangzhou Seventh People's Hospital, Affiliated Mental Health Center, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Ya Ran
- West China Hospital, Sichuan University, Sichuan, China
| | - Minne Cao
- Hangzhou Seventh People's Hospital, Affiliated Mental Health Center, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Fei Huang
- Alibaba Damo Academy, 969 West Wen Yi Road, Yu Hang District, Hangzhou, Zhejiang, China
| | - Songfang Huang
- Alibaba Damo Academy, 969 West Wen Yi Road, Yu Hang District, Hangzhou, Zhejiang, China
| | - Wei Deng
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, 311121, Hangzhou, China.
| | - Tao Li
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, 311121, Hangzhou, China.
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, 310058, Hangzhou, China.
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23
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Qin J, Wang S, Ni H, Wu Y, Chen L, Guo S, Zhang F, Zhou Z, Tian L. Graph analysis of diffusion tensor imaging-based connectome in young men with internet gaming disorder. Front Neurosci 2023; 16:1090224. [PMID: 36798605 PMCID: PMC9926964 DOI: 10.3389/fnins.2022.1090224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 12/29/2022] [Indexed: 01/31/2023] Open
Abstract
Although recent evidence suggests that dysfunctional brain organization is associated with internet gaming disorder (IGD), the neuroanatomical alterations related to IGD remain unclear. In this diffusion tensor imaging (DTI) study, we aimed to examine alterations in white matter (WM) structural connectomes and their association with IGD characteristics in 47 young men with IGD and in 34 well-matched healthy controls. Two approaches [namely, network-based statistics (NBS) and graph theoretical measures] were applied to assess differences in the specific topological features of the networks and to identify the potential changes in the topological properties, respectively. Furthermore, we explored the association between the alterations and the severity of internet addiction. An NBS analysis revealed widespread alterations of the cortico-limbic-striatal structural connectivity networks in young people with IGD: (1) an increased subnet1 comprising the insula and the regions responsible for visual, auditory, and sensorimotor functions and (2) two decreased subnet2 and subnet3 comprising the insula, striatum, and limbic regions. Additional correlation analysis showed a significant positive association between the mean fractional anisotropy- (FA-) weighted connectivity strength of subnet1 and internet addiction test (IAT) scores in the IGD group. The present study extends our knowledge of the neuroanatomical correlates in IGD and highlights the role of the cortico-limbic-striatal network in understanding the neurobiological mechanisms underlying this disorder.
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Affiliation(s)
- Jiaolong Qin
- PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China,Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
| | - Shuai Wang
- The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, China,School of Wuxi Medicine, Nanjing Medical University, Wuxi, China
| | - Huangjing Ni
- School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Ye Wu
- PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China,Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
| | - Limin Chen
- The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, China
| | - Shuaiyi Guo
- School of Wuxi Medicine, Nanjing Medical University, Wuxi, China
| | - Fuquan Zhang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zhenhe Zhou
- The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, China,School of Wuxi Medicine, Nanjing Medical University, Wuxi, China
| | - Lin Tian
- The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, China,School of Wuxi Medicine, Nanjing Medical University, Wuxi, China,*Correspondence: Lin Tian,
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24
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Wu H, Yuan X, Cui J, Zhang Y, Shen Y, Guo J, Yu G, Kou C. Mortality rates for mental disorders by gender in urban and rural areas in China from 2006 to 2020: An age-period-cohort analysis. Asian J Psychiatr 2023; 79:103370. [PMID: 36481570 DOI: 10.1016/j.ajp.2022.103370] [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: 05/09/2022] [Revised: 09/03/2022] [Accepted: 10/29/2022] [Indexed: 11/27/2022]
Abstract
This study was to explore the trends of mortality rates for mental disorders by gender in urban and rural areas in China (2006-2020) and estimate the independent effects of age, period, and cohort on the mortality of mental disorders. This study employs data from the China Health Statistical Yearbook. The data were analysed using joinpoint regression analysis as well as age-period-cohort analysis. Results revealed the age-standardized mortality rates of mental disorders in China showed a downward trend, and women had a faster rate of decline than men over the years 2006-2020. Age, period, and birth cohort effects were statistically significant in the trend analysis of mental disorder mortality, and compared with period and cohort effects, age effects were the leading correlate of mental disorder mortality. The risk of death increased with advancing age. Our findings suggest that the mortality of mental disorders showed a downward trend, but some effective measures, especially regarding mental disorders, need to be taken to protect people with these disorders and prevent their occurrence in the setting of an ageing population.
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Affiliation(s)
- Hao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Xin Yuan
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Jiameng Cui
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Yue Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Yuxuan Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Jinyuan Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Ge Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.
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25
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Chakrabarti S. Bipolar disorder in the International Classification of Diseases-Eleventh version: A review of the changes, their basis, and usefulness. World J Psychiatry 2022; 12:1335-1355. [PMID: 36579354 PMCID: PMC9791613 DOI: 10.5498/wjp.v12.i12.1335] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 10/07/2022] [Accepted: 11/22/2022] [Indexed: 12/16/2022] Open
Abstract
The World Health Organization’s 11th revision of the International Classification of Diseases (ICD-11) including the chapter on mental disorders has come into effect this year. This review focuses on the “Bipolar or Related Disorders” section of the ICD-11 draft. It describes the benchmarks for the new version, particularly the foremost principle of clinical utility. The alterations made to the diagnosis of bipolar disorder (BD) are evaluated on their scientific basis and clinical utility. The change in the diagnostic requirements for manic and hypomanic episodes has been much debated. Whether the current criteria have achieved an optimum balance between sensitivity and specificity is still not clear. The ICD-11 definition of depressive episodes is substantially different, but the lack of empirical support for the changes has meant that the reliability and utility of bipolar depression are relatively low. Unlike the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5), the ICD-11 has retained the category of mixed episodes. Although the concept of mixed episodes in the ICD-11 is not perfect, it appears to be more inclusive than the DSM-5 approach. Additionally, there are some uncertainties about the guidelines for the subtypes of BD and cyclothymic disorder. The initial results on the reliability and clinical utility of BD are promising, but the newly created diagnostic categories also appear to have some limitations. Although further improvement and research are needed, the focus should now be on facing the challenges of implementation, dissemination, and education and training in the use of these guidelines.
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Affiliation(s)
- Subho Chakrabarti
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, UT, India
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26
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Alcohol and Substance Use Disorders Diagnostic Criteria Changes and Innovations in ICD-11: An Overview. CLINICAL PSYCHOLOGY IN EUROPE 2022; 4:e9539. [PMID: 36760319 PMCID: PMC9881115 DOI: 10.32872/cpe.9539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 10/04/2022] [Indexed: 12/23/2022] Open
Abstract
Background The new revision of the ICD came into effect on January 1st, 2022, and significant changes have been introduced in the section related to substance use disorders. Method In the present work we describe the new ICD-11 section "Disorders due to Substance Use and Addictive Behaviors" and outline the innovations in classification and diagnosis introduced, with a view to addressing the most important issues in terms of new opportunities for identifying and caring for people in need of treatment. Results The main innovations introduced in the ICD-11 chapter of interest are the expanded classes of psychoactive substances, the introduction of single episodes of substance use, the introduction of harmful patterns of substance use and severity qualifiers for substance intoxication. Furthermore, the new category "Disorders due to addictive behaviors" has been added, including "Gambling disorder" and the new diagnostic category "Gaming disorder". Conclusions ICD-11 calls for renewed public health response and policies fostering the multi-professional and multidisciplinary management of alcohol and substance abuse treatment, giving to these forms of addiction new chances also towards the reaching of the UN 2030 Agenda Sustainable Development Goals.
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27
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Einav M, Margalit M. The hope theory and specific learning disorders and/or attention deficit disorders (SLD/ADHD): Developmental perspectives. Curr Opin Psychol 2022; 48:101471. [PMID: 36335656 DOI: 10.1016/j.copsyc.2022.101471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 09/18/2022] [Accepted: 09/21/2022] [Indexed: 01/28/2023]
Abstract
Research on disabilities has generally used a deficit-oriented approach. However, the recent appreciation of the personal strengths and positive traits of the disabled has raised awareness of them as empowering and activating factors. According to the hope theory, the ability to embrace future perspectives, set meaningful goals, and plan specific paths to reach these goals predict well-being and adjustment. We review the research on the role of hope in the lives of individuals with SLD/ADHD from a developmental perspective. We investigate hope as a resource in predicting these people's ability to deal with personal risks through developmental stages and contextual conditions. We conclude by proposing future research and intervention directions.
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Affiliation(s)
- Michal Einav
- Peres Academic Center, Rechovot; The Academic College of Tel Aviv Yaffo, Tel-Aviv, Israel.
| | - Malka Margalit
- Behavioral Sciences, Peres Academic Center, Rechovot; Tel-Aviv University, Tel-Aviv, Israel.
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28
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Hernández-Vásquez A, Vargas-Fernández R, Visconti-Lopez FJ, Comandé D, Bendezu-Quispe G. Prevalence and Factors Associated with Gaming Disorder in Latin America and the Caribbean: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10036. [PMID: 36011671 PMCID: PMC9408645 DOI: 10.3390/ijerph191610036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/30/2022] [Accepted: 08/01/2022] [Indexed: 06/15/2023]
Abstract
We aimed to determine the prevalence and factors associated with gaming disorder (GD) in the population of Latin America and the Caribbean (LAC). A systematic review was performed (PROSPERO protocol registration: CRD42021230565). We included studies that identified participants with GD and/or factors associated with this condition, reported the prevalence of GD, or contained data that assisted in its estimation, were published after 2013 (the year of inclusion of GD in the Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders) and were carried out in a population residing in an LAC country. Evaluation of the quality of the studies was carried out using the Joanna Briggs Institute Critical appraisal checklist tool. A qualitative synthesis of the data was performed. Of the total of 1567 records identified, 25 passed the full-text review phase, and 6 met the selection criteria. These studies were published between 2018 and 2021 and had a cross-sectional design (three in Brazil, one in Ecuador, Mexico, and the other was multi-country, including a LAC country [Peru]). The prevalence of GD ranged from 1.1% to 38.2%. The three studies in Brazil had the highest figures of GD prevalence (20.4-38.2%). Four studies evaluated factors associated with GD. Characteristics regarding the game (type), pattern of use (hours played), as well as gender (higher in men), tobacco and alcohol consumption, poor interpersonal relationships, and the presence of mental disorders were found to be associated with GD in LAC. Evidence on the prevalence and factors associated with GD in LAC is limited. Studies on GD in LAC evaluate different population subgroups, describing a wide prevalence of this condition (present in up to 38 out of 100 evaluated). Characteristics such as the type and hours of use of the games, sociodemographic data, lifestyles, interpersonal relationships, and the presence of mental disorders increase the probability of presenting GD.
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Affiliation(s)
- Akram Hernández-Vásquez
- Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima 15024, Peru
| | | | | | - Daniel Comandé
- Instituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires C1414CPV, Argentina
| | - Guido Bendezu-Quispe
- Centro de Investigación Epidemiológica en Salud Global, Universidad Privada Norbert Wiener, Lima 15046, Peru
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Gaebel W, Salveridou-Hof E. Reinventing schizophrenia: Updating the construct - Primary schizophrenia 2021 - The road ahead. Schizophr Res 2022; 242:27-29. [PMID: 35033393 DOI: 10.1016/j.schres.2021.12.021] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 12/13/2021] [Accepted: 12/14/2021] [Indexed: 02/06/2023]
Affiliation(s)
- Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, Medical Faculty, LVR-Klinikum Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany; WHO Collaborating Centre on Quality Assurance and Empowerment in Mental Health DEU-131, LVR-Klinikum Düsseldorf, Germany.
| | - Eva Salveridou-Hof
- Department of Psychiatry and Psychotherapy, Medical Faculty, LVR-Klinikum Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany; WHO Collaborating Centre on Quality Assurance and Empowerment in Mental Health DEU-131, LVR-Klinikum Düsseldorf, Germany
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30
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Kovacs TZ, Hill RW, Watson S, Turkington D. Clusters, lines and webs-so does my patient have psychosis? reflections on the use of psychiatric conceptual frameworks from a clinical vantage point. Philos Ethics Humanit Med 2022; 17:6. [PMID: 35152913 PMCID: PMC8842805 DOI: 10.1186/s13010-022-00118-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 01/22/2022] [Indexed: 06/14/2023] Open
Abstract
Mental health professionals working in hospitals or community clinics inevitably face the realisation that we possess imperfect conceptual means to understand mental disorders. In this paper the authors bring together ideas from the fields of Philosophy, Psychiatry, Cognitive Psychology and Linguistics to reflect on the ways we represent phenomena of high practical importance that we often take for granted, but are nevertheless difficult to define in ontological terms. The paper follows through the development of the concept of psychosis over the last two centuries in the interplay of three different conceptual orientations: the categorical, dimensional and network approaches. Each of these represent the available knowledge and dominant thinking styles of the era in which they emerged and take markedly different stances regarding the nature of mental phenomena. Without particular commitment to any ontological positions or models described, the authors invite the reader into a thinking process about the strengths and weaknesses of these models, and how they can be reconciled in multidisciplinary settings to benefit the process of patient care.
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Affiliation(s)
- Tibor Zoltan Kovacs
- Early Intervention in Psychosis Service, Newcastle upon Tyne, Cumbria, UK.
- Northumberland Tyne and Wear NHS Foundation Trust, 1 Benton View, Forest Hall, Newcastle upon Tyne, NE12 7JJ, UK.
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
| | - Reece William Hill
- School of Medical Education, Newcastle University, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK
| | - Stuart Watson
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
| | - Douglas Turkington
- Cumbria, Northumberland, Tyne and Wear NHS Trust, Monkwearmouth Hospital, Newcastle Road, Sunderland, SR5 1NB, UK
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31
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Vita A, Gaebel W, Mucci A, Sachs G, Erfurth A, Barlati S, Zanca F, Giordano GM, Birkedal Glenthøj L, Nordentoft M, Galderisi S. European Psychiatric Association guidance on assessment of cognitive impairment in schizophrenia. Eur Psychiatry 2022; 65:e58. [PMID: 36059109 PMCID: PMC9532219 DOI: 10.1192/j.eurpsy.2022.2316] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Background Impairment in a wide range of cognitive abilities has been consistently reported in individuals with schizophrenia. Both neurocognitive and social cognitive deficits are thought to underlie severe functional disabilities associated with schizophrenia. Despite the key role in schizophrenia outcome, cognition is still poorly assessed in both research and clinical settings. Methods In this guidance paper, we provide a systematic review of the scientific literature and elaborate several recommendations for the assessment of cognitive functions in schizophrenia both in research settings and in real-world clinical practice. Results Expert consensus and systematic reviews provided guidance for the optimal assessment of cognitive functions in schizophrenia. Based on the reviewed evidence, we recommend a comprehensive and systematic assessment of neurocognitive and social cognitive domains in schizophrenia, in all phases of the disorder, as well as in subjects at risk to develop psychosis. This European Psychiatric Association guidance recommends not only the use of observer reports but also self-reports and interview-based cognitive assessment tools. The guidance also provides a systematic review of the state of the art of assessment in the first episode of psychosis patients and in individuals at risk for psychosis. Conclusion The comprehensive review of the evidence and the recommendations might contribute to advance the field, allowing a better cognitive assessment, and avoiding overlaps with other psychopathological dimensions. The dissemination of this guidance paper may promote the development of shared guidelines concerning the assessment of cognitive functions in schizophrenia, with the purpose to improve the quality of care and to obtain recovery.
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32
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Valle R. Validity, reliability and clinical utility of mental disorders: The case of ICD-11 schizophrenia. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2022; 51:61-70. [PMID: 35210207 DOI: 10.1016/j.rcpeng.2020.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 09/09/2020] [Indexed: 06/14/2023]
Abstract
Diagnostic classification systems categorise mental psychopathology in mental disorders. Although these entities are clinical constructs developed by consensus, it has been pointed out that in practice they are usually managed as natural entities and without evaluating aspects related to their nosological construction. The objectives of the study are to review a) the conceptualisation of mental disorders, b) the indicators of validity, reliability and clinical utility, and c) the values of these indicators in ICD-11 schizophrenia. The results show that mental disorders are conceptualised as discrete entities, like the diseases of other areas of medicine; however, differences are observed between these diagnostic categories in clinical practice. The reliability and clinical utility of mental disorders are adequate; however, the validity is not yet clarified. Similarly, ICD-11 schizophrenia demonstrates adequate reliability and clinical utility, but its validity remains uncertain. The conceptualisation of psychopathology in discrete entities may be inadequate for its study, therefore dimensional and mixed models have been proposed. The indicators of validity, reliability and clinical utility enable us to obtain an accurate view of the nosological state of mental disorders when evaluating different aspects of their nosological construction.
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Affiliation(s)
- Rubén Valle
- Centro de Investigación en Epidemiología Clínica y Medicina Basada en Evidencias, Facultad de Medicina Humana, Universidad de San Martín de Porres, Lima, Peru; DEIDAE de Adultos y Adultos Mayores, Instituto Nacional de Salud Mental Honorio Delgado-Hideyo Noguchi, Lima, Peru.
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Smigielski L, Papiol S, Theodoridou A, Heekeren K, Gerstenberg M, Wotruba D, Buechler R, Hoffmann P, Herms S, Adorjan K, Anderson-Schmidt H, Budde M, Comes AL, Gade K, Heilbronner M, Heilbronner U, Kalman JL, Klöhn-Saghatolislam F, Reich-Erkelenz D, Schaupp SK, Schulte EC, Senner F, Anghelescu IG, Arolt V, Baune BT, Dannlowski U, Dietrich DE, Fallgatter AJ, Figge C, Jäger M, Juckel G, Konrad C, Nieratschker V, Reimer J, Reininghaus E, Schmauß M, Spitzer C, von Hagen M, Wiltfang J, Zimmermann J, Gryaznova A, Flatau-Nagel L, Reitt M, Meyers M, Emons B, Haußleiter IS, Lang FU, Becker T, Wigand ME, Witt SH, Degenhardt F, Forstner AJ, Rietschel M, Nöthen MM, Andlauer TFM, Rössler W, Walitza S, Falkai P, Schulze TG, Grünblatt E. Polygenic risk scores across the extended psychosis spectrum. Transl Psychiatry 2021; 11:600. [PMID: 34836939 PMCID: PMC8626446 DOI: 10.1038/s41398-021-01720-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 10/24/2021] [Accepted: 10/29/2021] [Indexed: 12/23/2022] Open
Abstract
As early detection of symptoms in the subclinical to clinical psychosis spectrum may improve health outcomes, knowing the probabilistic susceptibility of developing a disorder could guide mitigation measures and clinical intervention. In this context, polygenic risk scores (PRSs) quantifying the additive effects of multiple common genetic variants hold the potential to predict complex diseases and index severity gradients. PRSs for schizophrenia (SZ) and bipolar disorder (BD) were computed using Bayesian regression and continuous shrinkage priors based on the latest SZ and BD genome-wide association studies (Psychiatric Genomics Consortium, third release). Eight well-phenotyped groups (n = 1580; 56% males) were assessed: control (n = 305), lower (n = 117) and higher (n = 113) schizotypy (both groups of healthy individuals), at-risk for psychosis (n = 120), BD type-I (n = 359), BD type-II (n = 96), schizoaffective disorder (n = 86), and SZ groups (n = 384). PRS differences were investigated for binary traits and the quantitative Positive and Negative Syndrome Scale. Both BD-PRS and SZ-PRS significantly differentiated controls from at-risk and clinical groups (Nagelkerke's pseudo-R2: 1.3-7.7%), except for BD type-II for SZ-PRS. Out of 28 pairwise comparisons for SZ-PRS and BD-PRS, 9 and 12, respectively, reached the Bonferroni-corrected significance. BD-PRS differed between control and at-risk groups, but not between at-risk and BD type-I groups. There was no difference between controls and schizotypy. SZ-PRSs, but not BD-PRSs, were positively associated with transdiagnostic symptomology. Overall, PRSs support the continuum model across the psychosis spectrum at the genomic level with possible irregularities for schizotypy. The at-risk state demands heightened clinical attention and research addressing symptom course specifiers. Continued efforts are needed to refine the diagnostic and prognostic accuracy of PRSs in mental healthcare.
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Affiliation(s)
- Lukasz Smigielski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland.
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland.
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Anastasia Theodoridou
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Karsten Heekeren
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Psychiatry and Psychotherapy I, LVR-Hospital, Cologne, Germany
| | - Miriam Gerstenberg
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
| | - Diana Wotruba
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
| | - Roman Buechler
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
- Department of Neuroradiology, University Hospital Zurich, Zurich, Switzerland
| | - Per Hoffmann
- Department of Biomedicine, Human Genomics Research Group, University Hospital and University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Stefan Herms
- Department of Biomedicine, Human Genomics Research Group, University Hospital and University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Kristina Adorjan
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Heike Anderson-Schmidt
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Ashley L Comes
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Katrin Gade
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Maria Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Janos L Kalman
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | | | - Daniela Reich-Erkelenz
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Sabrina K Schaupp
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Eva C Schulte
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Fanny Senner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Ion-George Anghelescu
- Department of Psychiatry and Psychotherapy, Mental Health Institute, Berlin, Germany
| | - Volker Arolt
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Detlef E Dietrich
- AMEOS Clinical Center Hildesheim, Hildesheim, Germany
- Center for Systems Neuroscience (ZSN), Hannover, Germany
| | - Andreas J Fallgatter
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), University of Tübingen, Tübingen, Germany
| | - Christian Figge
- Karl-Jaspers Clinic, European Medical School Oldenburg-Groningen, Oldenburg, Germany
| | - Markus Jäger
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Georg Juckel
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Carsten Konrad
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum, Rotenburg, Germany
| | - Vanessa Nieratschker
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), University of Tübingen, Tübingen, Germany
| | - Jens Reimer
- Department of Psychiatry, Klinikum Bremen-Ost, Bremen, Germany
- Department of Psychiatry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Eva Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Bipolar Affective Disorder, Medical University of Graz, Graz, Austria
| | - Max Schmauß
- Clinic for Psychiatry, Psychotherapy and Psychosomatics, Augsburg University, Medical Faculty, Bezirkskrankenhaus Augsburg, Augsburg, Germany
| | - Carsten Spitzer
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Rostock, Rostock, Germany
| | - Martin von Hagen
- Clinic for Psychiatry and Psychotherapy, Clinical Center Werra-Meißner, Eschwege, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Jörg Zimmermann
- Psychiatrieverbund Oldenburger Land gGmbH, Karl-Jaspers-Klinik, Bad Zwischenahn, Germany
| | - Anna Gryaznova
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Laura Flatau-Nagel
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Markus Reitt
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Milena Meyers
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Barbara Emons
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Ida Sybille Haußleiter
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Fabian U Lang
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Thomas Becker
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Moritz E Wigand
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Centre for Human Genetics, University of Marburg, Marburg, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Till F M Andlauer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Wulf Rössler
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, Zurich, Switzerland
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany
- Laboratory of Neuroscience (LIM 27), Institute of Psychiatry, Universidade de São Paulo, São Paulo, Brazil
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Edna Grünblatt
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
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Gaebel W. Auf dem Weg zur ICD-11. ZEITSCHRIFT FUR KINDER-UND JUGENDPSYCHIATRIE UND PSYCHOTHERAPIE 2021; 49:413-415. [PMID: 34766832 DOI: 10.1024/1422-4917/a000836] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Wolfgang Gaebel
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, LVR-Klinikum Düsseldorf/Klinken der Heinrich-Heine-Universität Düsseldorf
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Hirjak D, Schwarz E, Meyer-Lindenberg A. [Twelve years of research domain criteria in psychiatric research and practice: claim and reality]. DER NERVENARZT 2021; 92:857-867. [PMID: 34342676 DOI: 10.1007/s00115-021-01174-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/13/2021] [Indexed: 12/12/2022]
Abstract
The research domain criteria (RDoC) initiative of the National Institute of Mental Health (NIMH) was presented 12 years ago. The RDoC provides a matrix for the systematic, dimensional and domain-based study of mental disorders that is not based on established disease entities as defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM) or the International Classification of Diseases (ICD). The primary aim of RDoC is to understand the nature of mental health and illness in terms of different extents of dysfunction in psychological/biological systems with interconnected diagnoses. This selective review article aims to provide a comprehensive overview of RDoC-based studies that have contributed to a better conceptual organization of mental disorders. Numerous promising and methodologically sophisticated studies on RDoC were identified. The number of scientific studies increased over time, indicating that dimensional research is increasingly being pursued in psychiatry. In summary, the RDoC initiative has a considerable potential to more precisely define the complexity of pathomechanisms underlying mental disorders; however, major challenges (e.g. small and heterogeneous study samples, unclear biomarker definitions and lack of replication studies) remain to be overcome in the future. Furthermore, it is plausible that a diagnostic system of the future will integrate categorical and dimensional approaches to arrive at a stratification that can underpin a precision medical approach in psychiatry.
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Affiliation(s)
- Dusan Hirjak
- Zentralinstitut für Seelische Gesundheit, Klinik für Psychiatrie und Psychotherapie, Medizinische Fakultät Mannheim, Universität Heidelberg, 68159, Mannheim, Deutschland.
| | - Emanuel Schwarz
- Zentralinstitut für Seelische Gesundheit, Klinik für Psychiatrie und Psychotherapie, Medizinische Fakultät Mannheim, Universität Heidelberg, 68159, Mannheim, Deutschland
| | - Andreas Meyer-Lindenberg
- Zentralinstitut für Seelische Gesundheit, Klinik für Psychiatrie und Psychotherapie, Medizinische Fakultät Mannheim, Universität Heidelberg, 68159, Mannheim, Deutschland
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Valle R. Validity, Reliability and Clinical Utility of Mental Disorders: The Case of ICD-11 Schizophrenia. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2020; 51:S0034-7450(20)30084-6. [PMID: 33735020 DOI: 10.1016/j.rcp.2020.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 07/18/2020] [Accepted: 09/09/2020] [Indexed: 06/12/2023]
Abstract
Diagnostic classification systems categorise mental psychopathology in mental disorders. Although these entities are clinical constructs developed by consensus, it has been pointed out that in practice they are usually managed as natural entities and without evaluating aspects related to their nosological construction. The objectives of the study are to review a) the conceptualisation of mental disorders, b) the indicators of validity, reliability and clinical utility, and c) the values of these indicators in ICD-11 schizophrenia. The results show that mental disorders are conceptualised as discrete entities, like the diseases of other areas of medicine; however, differences are observed between these diagnostic categories in clinical practice. The reliability and clinical utility of mental disorders are adequate; however, the validity is not yet clarified. Similarly, ICD-11 schizophrenia demonstrates adequate reliability and clinical utility, but its validity remains uncertain. The conceptualisation of psychopathology in discrete entities may be inadequate for its study, therefore dimensional and mixed models have been proposed. The indicators of validity, reliability and clinical utility enable us to obtain an accurate view of the nosological state of mental disorders when evaluating different aspects of their nosological construction.
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Affiliation(s)
- Rubén Valle
- Centro de Investigación en Epidemiología Clínica y Medicina Basada en Evidencias, Facultad de Medicina Humana, Universidad de San Martín de Porres, Lima, Perú; DEIDAE de Adultos y Adultos Mayores, Instituto Nacional de Salud Mental Honorio Delgado-Hideyo Noguchi, Lima, Perú.
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Gaebel W, Falkai P. [Not Available]. FORTSCHRITTE DER NEUROLOGIE-PSYCHIATRIE 2020; 88:756-758. [PMID: 33307560 DOI: 10.1055/a-1130-8059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
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