Changes from ICD-10 to ICD-11 and future directions in psychiatric classification

The Problem No One is Talking About: Forensic Evaluators' Lack of Familiarity with Dimensional Approaches to Personality and Psychopathology

Historically, forensic evaluators have relied heavily upon various editions of the Diagnostic and Statistical Manual of Mental Disorders when rendering psycholegal opinions. The field of mental health is increasing moving toward dimensional models of personality and psychopathology in lieu of traditional DSM categorical models, though the domains of forensic psychology and psychiatry have been slow to make this transition. The current study therefore sought to examine forensic evaluators' familiarity with dimensional approaches to personality and psychopathology, namely the Alternative DSM-5 Model for Personality Disorders (AMPD) and the Hierarchical Taxonomy of Psychopathology (HiTOP). Forensic psychologists and psychiatrists (N = 54) completed an online survey designed to assess their familiarity with these models, as well as to determine if forensics practitioners are using these models in clinical practice. Participants endorsed greater familiarity with the AMPD, with a large majority of participants indicating they were unfamiliar with the HiTOP model. Few participants endorsed using these models in their clinical forensic practice. Implications for making the transition to dimensional models within forensic evaluation are discussed, as are paths forward for future research.

Case Report: The intersection of psychiatry and medicine: diagnostic and ethical insights from case studies

The intersection of psychiatry and medicine presents unique diagnostic and ethical challenges, particularly for conditions involving significant brain-body interactions, such as psychosomatic, somatopsychic, and complex systemic disorders. This article explores the historical and contemporary issues in diagnosing such conditions, emphasizing the fragmentation of medical and psychiatric knowledge, biases in clinical guidelines, and the mismanagement of complex illnesses. Diagnostic errors often arise from insufficient integration between general medicine and psychiatry, compounded by the reliance on population-based guidelines that neglect individual patient needs. Misclassification of conditions like myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), Lyme disease, and fibromyalgia as psychosomatic or psychogenic has led to stigmatization and delayed care. While these conditions are referenced as emblematic examples of misclassified and poorly understood disorders, the five clinical cases discussed in this article do not directly illustrate these diseases. Instead, they exemplify shared diagnostic and ethical dilemmas at the medicine-psychiatry interface, including uncertainty, fragmentation, and the risk of epistemic injustice. The article critically examines terms like medically unexplained symptoms and functional disorders, highlighting their limitations and potential for misuse. Case examples underscore the consequences of diagnostic inaccuracies and the urgent need for improved approaches. Ethical considerations are also explored, emphasizing respecting patient experiences, promoting individualized care, and acknowledging the inherent uncertainties in medical diagnosis. Advances in technologies such as brain imaging and molecular diagnostics offer hope for bridging the gap between psychiatry and medicine, enabling more accurate assessments and better patient outcomes. The article concludes by advocating comprehensive training at the medicine-psychiatry interface and a patient-centered approach that integrates clinical observation, research insights, and a nuanced understanding of mind-body dynamics.

Clinical Utility of ICD-11 Clinical Descriptions and Diagnostic Requirements for the Classification of Mental, Behavioral or Neurodevelopmental Disorders: A Systematic Review

Case-controlled field studies, ecological implementation field studies, and qualitative or mixed methodology studies have been conducted to evaluate the clinical utility of the ICD-11 clinical descriptions and diagnostic requirements (ICD-11 CDDR) for the diagnosis of mental disorders. This systematic review sought to analyze and synthesize the clinical utility indices of these guidelines from the perspectives of mental health professionals (MHPs) and patients from different regions of the world. A systematic search was carried out in five databases Science Direct, Google Scholar, PubMed, Web of Science and Scopus. The relevant studies were subjected to explicit eligibility criteria, resulting in 19 included studies. The study characteristics were tabulated, methodological quality was assessed, and findings were summarized using convergent narrative synthesis. The overall findings indicated that the clinical utility of the ICD-11 CDDR was positive for the majority of studies (78.95%) that analyzed a wide range of mental disorders. Analyses at the level of the disorder groups also revealed the same trend. Almost only qualitative or mixed studies have identified negative aspects or obstacles of this diagnostic system. The clinical utility of the ICD-11 CDDR for the diagnosis of mental disorders is supported. Future research could resolve concerns regarding the isolated negative outcomes of ICD-11 CDDR performance. Finally, it is necessary to expand the scope of the training programs for MHPs and policymakers regarding the use of these guidelines in clinical practice.

Relationship between quality of life of patients with severe mental illnesses and family burden of disease: the mediating effect of caregivers' social support

BACKGROUND

Severe mental illnesses (SMIs) have become one of the public health problems of great concern in society, which not only bring physical and mental pain to patients but also heavy burden to families. It is known that the health-related quality of life (HRQoL) of patients and caregivers' social support are correlated with caregivers' family burden of disease, but the interaction mechanism among them is not clear. The purpose of this study was to investigate the association between HRQoL in patients with SMIs and the family burden of disease and to examine the mediating role of caregivers' social support.

METHODS

From January to July 2022, this cross-sectional study was conducted in 23 community health service centers in Nanjing, China. We recruited 924 patients with SMIs and their caregivers, using a random sampling method. Hayes' PROCESS macro was used to test the mediation effect of caregivers' social support in the relationship between patients' HRQoL and family burden of disease. Indirect effects were tested using bootstrapped confidence intervals (CI).

RESULTS

The SF-36 score of patients with SMIs was 57.85 (49.59, 63.64), while the caregivers' social support was measured at 32.00 (27.00, 35.00), and the family burden of disease scored 16.00 (8.00, 24.00). Spearman correlation analysis revealed a negative correlation between the patients' HRQoL and the family burden of disease (r = -0.54, p < 0.01). Furthermore, caregivers' social support was negatively correlated with the family burden of disease (r = -0.19, p < 0.01). The mediating role of caregivers' social support between the patients' HRQoL and the family burden of disease was confirmed by the Bootstrap test (p < 0.01), with a mediating effect of 2.75% (β = -0.016, 95% CI = -0.031, -0.002).

CONCLUSIONS

This study highlights that caregivers experience a heavy family burden of disease. The patients' HRQoL not only directly affects the family burden of disease but also indirectly influences it through the caregivers' social support. Therefore, relevant departments need to prioritize improving patients' HRQoL and expanding caregivers' social support networks when developing targeted intervention programs to reduce the family burden of SMIs.

Differential diagnosis of autism, attachment disorders, complex post-traumatic stress disorder and emotionally unstable personality disorder: A Delphi study

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.

Recovery From Severe Mental Illnesses: The Influence of Personal and Psychosocial Factors in Community Settings

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.

Global burden of subarachnoid hemorrhage among adolescents and young adults aged 15-39 years: A trend analysis study from 1990 to 2021

OBJECTIVE

This study aims to analyze the global burden of subarachnoid hemorrhage (SAH) among adolescents and young adults (AYAs) aged 15-39 years from 1990 to 2021, highlighting spatial and temporal trends and providing insights for future public health strategies.

METHODS

Data were collected from the Global Burden of Disease Study 2021 (GBD 2021), which includes comprehensive evaluations of health conditions and associated risk factors across 204 countries and territories. The focus was on SAH incidence, prevalence, mortality, and disability-adjusted life years (DALYs) among AYAs. The data were segmented by age groups (15-19, 20-24, 25-29, 30-34, 35-39 years) and socio-demographic index (SDI) quintiles. Statistical analyses, including Joinpoint regression and decomposition analysis, were employed to assess temporal trends and the impact of population growth, aging, and epidemiological changes.

RESULTS

From 1990 to 2021, the global number of SAH incident cases among AYAs increased by 12.6%, from 109,120 cases in 1990 to 122,822 cases in 2021. Prevalent cases rose by 17.1%, from 1,212,170 cases in 1990 to 1,419,127 cases in 2021. Conversely, the number of deaths decreased by approximately 26.6%, from 30,348 cases in 1990 to 22,266 cases in 2021. Similarly, DALYs decreased by 23.7%, from 1,996,041 cases in 1990 to 1,523,328 cases in 2021. Notably, over these thirty years, the age-standardized rates (ASR) of incidence, prevalence, mortality, and DALYs for the AYA population showed an overall decreasing trend, despite fluctuations in specific periods. The age-standardized mortality rate (ASMR) and age-standardized DALYs (ASR for DALYs) decreased continuously with an average annual percentage change (AAPC) of -2.2% (95% CI: -2.36, -2.04) and -2.02% (95% CI: -2.17, -1.88), respectively. The age-standardized incidence rate (ASIR) and age-standardized prevalence rate (ASPR) had an AAPC of -0.8% (95% CI: -0.85, -0.75) and -0.65% (95% CI: -0.66, -0.64), respectively. Particularly, the ASIR showed a continuous decline from 1990 to 2015, followed by a slight increase from 2014 to 2019 (APC: 0.14%, 95% CI: 0.03, 0.25), and accelerated growth from 2019 to 2021 (APC: 1.23%, 95% CI: 0.88, 1.57). The ASPR declined from 1990 to 2019, followed by an increase from 2019 to 2021 (APC: 0.15%, 95% CI: 0.05, 0.25). Regional analysis revealed substantial burdens in the Middle-SDI and Low-Middle-SDI regions, with the Middle-SDI region having the highest incidence, prevalence, mortality, and DALYs. Decomposition analysis indicated that population growth was the primary driver of increased SAH cases, while epidemiological changes contributed significantly to the decline in deaths and DALYs.

CONCLUSION

The findings underscore the need for targeted public health interventions, particularly in low and low-middle-SDI regions, to reduce the burden of SAH among AYAs. Improved healthcare resources, enhanced health education, and preventive strategies are crucial. This study provides valuable data to inform future public health policies and resource allocation, emphasizing the importance of addressing the unique challenges faced by AYAs.

Decomposing the Brain in Autism: Linking Behavioral Domains to Neuroanatomical Variation and Genomic Underpinnings

BACKGROUND

Autism is accompanied by highly individualized patterns of neurodevelopmental differences in brain anatomy. This variability makes the neuroanatomy of autism inherently difficult to describe at the group level. Here, we examined interindividual neuroanatomical differences using a dimensional approach that decomposed the domains of social communication and interaction (SCI), restricted and repetitive behaviors (RRBs), and atypical sensory processing (ASP) within a neurodiverse study population. Moreover, we aimed to link the resulting neuroanatomical patterns to specific molecular underpinnings.

METHODS

Neurodevelopmental differences in cortical thickness (CT) and surface area (SA) were correlated with SCI, RRB, and ASP domain scores by regression of a general linear model in a large neurodiverse sample of 288 autistic individuals and 140 nonautistic individuals, ages 6 to 30 years, recruited within the European Autism Interventions Longitudinal European Autism Project (EU-AIMS LEAP). The domain-specific patterns of neuroanatomical variability were subsequently correlated with cortical gene expression profiles via the Allen Human Brain Atlas.

RESULTS

Across groups, behavioral variations in SCI, RRBs, and ASP were associated with interindividual differences in CT and SA in partially non-overlapping frontoparietal, temporal, and occipital networks. These domain-specific imaging patterns were enriched for genes that 1) are differentially expressed in autism, 2) mediate typical brain development, and 3) are associated with specific cortical cell types. Many of these genes were implicated in pathways governing synaptic structure and function.

CONCLUSIONS

Our study corroborates the close relationship between neuroanatomical variation and interindividual differences in autism-related symptoms and traits within the general framework of neurodiversity and links domain-specific patterns of neuroanatomical differences to putative molecular underpinnings.

Comparing NIRA and Traditional Network Approaches: A Study Case With Antisocial Personality Disorder Traits

OBJECTIVE

This study explores the NodeIdentifyR algorithm (NIRA) as a novel network analysis method for examining Antisocial Personality Disorder (ASPD) traits.

METHODS

Using a sample of 2230 Brazilian adults (aged 18-73 years) who responded to ASPD-related factors of the Personality Inventory for DSM-5 (PID-5), we applied NIRA to an ASPD network and compared its results with traditional network analysis methods.

RESULTS

Our findings revealed that deceitfulness emerged as the most central trait across both methodologies. NIRA provided additional insights, indicating that simulated decreases in the likelihood of irresponsibility reduced the presence of other traits, while a simulated increase in deceitfulness amplified the likelihood of other ASPD pathological traits.

CONCLUSIONS

Our results suggest that traditional network centrality measures converge with NIRA's simulated increase results, but NIRA's simulated decrease provides additional information not captured by traditional centrality estimates. We recommend further research to validate these findings across different psychopathologies and refine NIRA use in clinical settings. The insights from this study could serve as a foundation for developing targeted interventions and enhancing our understanding of ASPD trait dynamics.

Development of the psychopathological vulnerability index for screening at-risk youths: a Rasch model approach

Accumulating research on mental health emphasizes the general factor of psychopathology (p-factor) that unites various mental health issues. This study develops a psychopathological vulnerability assessment for youths, evaluating its psychometric properties and clinical utility. An umbrella review conceptualized multifactor psychopathological vulnerability, leading to a 57-item pool. A total of 11,224 individuals participated in this study. The resulting 22-item psychopathological vulnerability index (PVI) fitted the unidimensional Rasch model, demonstrating a person separation reliability of 0.78 and a Cronbach's alpha of 0.84. Cut-off points of 11 and 5, derived from latent class analysis, were used to distinguish vulnerable and high-protection populations. The PVI's concurrent and predictive hit rates ranged from 36.00% to 53.57% in clinical samples. The PVI concretized the vulnerability-stress model for identifying at-risk youths and may facilitate universal interventions by integrating the theoretical foundations of bifactor S-1 models with key symptoms from network models for theoretically grounded approaches.

Pharmacotherapy and psychotherapy in depression - complementarity or exclusion?

Purpose

This article attempts to outline the dilemma regarding the use of pharmacotherapy and psychotherapy in the treatment of mental disorders with particular emphasis on depression. Depressive disorder is one of the most common mental disorders suffered by society; it affects from 5% to over 12% of the population [1]. It is also a growing problem as the number of diagnoses has increased over the last decades.

Views

The numerous organisations working to improve mental health have constructed guidelines focused on shaping preventive intervention and therapeutic procedures. However, the method of selecting a procedure remains unclear, with the choice between pharmacotherapy and psychotherapy being particularly troublesome. This begs the question of whether these forms of interaction are complementary or exclusive. The article provides an overview of the current discussion on the legitimacy of using multiple forms of interactions when treating depression. Currently, the treatment of depression is based primarily on pharmacotherapy using antidepressants and psychotherapy as well as combined treatment.

Conclusions

Although a diverse range of psychotherapeutic approaches are used to treat depression, research indicates that all leading approaches are similarly effective. Pharmacotherapy and psychotherapy offer comparable effectiveness in reducing depressive symptoms and demonstrate similar effects on neuronal activity. Combined treatment may offer optimal effectiveness, especially with moderate and severe symptoms of depression.

Prioritization of Psychopathological Symptoms and Clinical Characterization in Psychiatric Diagnoses: A Narrative Review

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.

Development and Validation of Dimensional Clinical Personality Inventory 2 (IDCP-2) Algorithms to Assess ICD-11 Personality Trait Domain Qualifiers

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.

Effectiveness of propofol in anesthetic management and cognitive function in schizophrenic patients undergoing convulsion-free modified electroconvulsive therapy

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.

The clinical utility and relevance in clinical practice of DSM-5 specifiers for major depressive disorder: A Delphi expert consensus study

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.

Depression clinical trials worldwide: a systematic analysis of the ICTRP and comparison with ClinicalTrials.gov

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.

Improved Scoring of the Center for Epidemiologic Studies Depression Scale - Revised: An Item Response Theory Analysis

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.

Prevalence of mental, behavioural or neurodevelopmental disorders according to the International Classification of Diseases 11: a scoping review protocol

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.

Different dosage regimens of zuranolone in the treatment of major depressive disorder: A meta-analysis of randomized controlled trials

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.

[ICD-11: New revision and impact of this classification in psychiatry]

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.

Alcohol Use Disorder and Dementia: A Review

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.

Methodologies and key considerations for implementing the International Classification of Diseases-11th revision morbidity coding: insights from a national pilot study in China

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.

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)

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.

[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]

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.

Men's Health in Northern Ireland: Why do we need a men's health policy?

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.

Proposing an integrative, dynamic and transdiagnostic model for addictions: dysregulation phenomena of the three main modes of the predostatic mind

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.

Feelings of loneliness and meaning in life in subjects with Asperger's syndrome: a pilot study

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.

[ICD-11 Between Development and Implementation]

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.

The future of diagnosis in clinical neurosciences: Comparing multiple sclerosis and schizophrenia

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.

A validation of the Swedish self-concept and Identity Measure (SCIM) and its association with mental health problems

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.

Optimizing multi-domain hematologic biomarkers and clinical features for the differential diagnosis of unipolar depression and bipolar depression

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.

Graph analysis of diffusion tensor imaging-based connectome in young men with internet gaming disorder

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.

Mortality rates for mental disorders by gender in urban and rural areas in China from 2006 to 2020: An age-period-cohort analysis

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.

Bipolar disorder in the International Classification of Diseases-Eleventh version: A review of the changes, their basis, and usefulness

The World Health Organization’s 11^th 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, 5^th 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.

Alcohol and Substance Use Disorders Diagnostic Criteria Changes and Innovations in ICD-11: An Overview

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.

The hope theory and specific learning disorders and/or attention deficit disorders (SLD/ADHD): Developmental perspectives

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.

Prevalence and Factors Associated with Gaming Disorder in Latin America and the Caribbean: A Systematic Review

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.

Clusters, lines and webs-so does my patient have psychosis? reflections on the use of psychiatric conceptual frameworks from a clinical vantage point

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.

European Psychiatric Association guidance on assessment of cognitive impairment in schizophrenia

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.

Validity, reliability and clinical utility of mental disorders: The case of ICD-11 schizophrenia

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.

Polygenic risk scores across the extended psychosis spectrum

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.

[Twelve years of research domain criteria in psychiatric research and practice: claim and reality]

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.

Validity, Reliability and Clinical Utility of Mental Disorders: The Case of ICD-11 Schizophrenia

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.