DSM-5 field trials in the United States and Canada, Part I: study design, sampling strategy, implementation, and analytic approaches

Rapidly expanding gender-affirming care based on consensus instead of evidence justifies rigorous governance and transparency

OBJECTIVE

Public services offering gender-affirming care to minors have rapidly expanded across Australia. Despite limited evidence of safety and efficacy, no public information about these services is routinely available. Data from freedom of information requests sent to Australian public gender services for minors is summarised. Gender service numbers increased rapidly in Queensland (2017:190 - 2022:922) and in Victoria (2019:472 - 2023:1290). Limited transparency prevented strong confidence in the number of patients receiving hormone therapy. Staff FTE employed by gender services jumped after 2020 in NSW (to 16.7 across two sites in 2023), Queensland (to 11.4 in 2023), Victoria (to 9.4 in 2022), and WA (to 10.2 in 2023).

CONCLUSIONS

Despite low confidence in their safety and efficacy, the number of patients seen by public gender services has expanded rapidly since 2018. Limited transparency makes it difficult to judge the number of patients seen, treatments provided, and outcomes achieved. Safe, effective care of this vulnerable group requires clear treatment goals, and annual reporting.

Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns

OBJECTIVE

Psychiatric evaluation suffers from subjectivity and bias, and is hard to scale due to intensive professional training requirements. In this work, we investigated whether behavioral and physiological signals, extracted from tele-video interviews, differ in individuals with psychiatric disorders.

METHODS

Temporal variations in facial expression, vocal expression, linguistic expression, and cardiovascular modulation were extracted from simultaneously recorded audio and video of remote interviews. Averages, standard deviations, and Markovian process-derived statistics of these features were computed from 73 subjects. Four binary classification tasks were defined: detecting 1) any clinically-diagnosed psychiatric disorder, 2) major depressive disorder, 3) self-rated depression, and 4) self-rated anxiety. Each modality was evaluated individually and in combination.

RESULTS

Statistically significant feature differences were found between psychiatric and control subjects. Correlations were found between features and self-rated depression and anxiety scores. Heart rate dynamics provided the best unimodal performance with areas under the receiver-operator curve (AUROCs) of 0.68-0.75 (depending on the classification task). Combining multiple modalities provided AUROCs of 0.72-0.82.

CONCLUSION

Multimodal features extracted from remote interviews revealed informative characteristics of clinically diagnosed and self-rated mental health status.

SIGNIFICANCE

The proposed multimodal approach has the potential to facilitate scalable, remote, and low-cost assessment for low-burden automated mental health services.

The DIAMOND-KID: Psychometric Properties of a Structured Diagnostic Interview for DSM-5 Anxiety, Mood, and Obsessive-Compulsive and Related Disorders in Children and Adolescents

The objective of the present study was to examine the reliability and validity of a new semi-structured interview for pediatric psychiatric disorders, which is needed as existing interviews do not cover the full range of anxiety, mood, and obsessive-compulsive disorder (OCD)-related disorders. Three hundred eleven child patients (aged 10-17) were administered the Diagnostic Interview for Anxiety, Mood, and OCD and Related Neuropsychiatric Disorders-Child and Adolescent Version (DIAMOND-KID). Of these, 65 provided interrater reliability data and 59 provided test-retest reliability data. Participants also completed self-report measures that assessed symptoms of anxiety, mood, and OCD and related disorders. Although parents/guardians could participate in the interview at the clinician's discretion, most of the initial interviews and all of the reliability interviews were based on the child's self-report. Test-retest reliability ranged from very good to excellent. Interrater reliability was more variable, with estimates for generalized anxiety disorder and major depressive disorder in the questionable range; the other interrater reliability estimates ranged from good to very good. Convergent validity was established by significant between-group comparisons on applicable self-report measures for all diagnoses. The results of the present study indicate that the DIAMOND-KID is a promising semi-structured diagnostic interview for 5th edition of the Diagnostic and Statistical Manual of Mental Disorders in pediatric populations.

Pinpointing change in virtual reality assisted treatment for violent offenders: a pilot study of Virtual Reality Aggression Prevention Training (VRAPT)

Preventing relapse into violence and its destructive consequences among persistent re-offenders is a primary concern in forensic settings. The Risk-Need-Responsivity framework models the best current practice for offender treatment, focused on building skills and changing pro-criminal cognitions. However, treatment effects are often modest, and the forensic context can obstruct the delivery of interventions. Developing treatments for offenders should focus on the best method of delivery to make "what works work." Virtual reality (VR)-assisted treatments such as Virtual Reality Aggression Prevention Training (VRAPT) are a new and innovative approach to offender treatment. This pilot study followed 14 male violent offenders who participated in VRAPT in a Swedish prison context and measured changes from pre-treatment to post-treatment and 3-month follow-up in targeted aggression, emotion regulation, and anger. It also investigated potential impact factors (pro-criminal cognitions, externalizing behaviors, psychosocial background, and childhood adverse experiences). In Bayesian linear mixed effects models, participants showed a high probability of change from pre-treatment to post-treatment and to follow-up on all outcome measures. All outcome measures demonstrated a low probability of change from post-treatment to follow-up. Analysis of reliable change showed that participants' results ranged from recovery to deterioration. We discuss the implications of the study for VRAPT's impact on the target group, those who might benefit from the approach, and suggested foci for future studies in the field of VR-assisted offender treatment. The study was preregistered at the International Standard Randomized Controlled Trial Number registry (https://doi.org/10.1186/ISRCTN14916410).

Gender and Age Differences in ADHD Symptoms and Co-occurring Depression and Anxiety Symptoms Among Children and Adolescents in the BELLA Study

Attention-deficit/hyperactivity disorder (ADHD) is one of the most diagnosed neurodevelopmental disorders of childhood. Current studies addressing gender and age differences in ADHD are lacking. The present study aims to fill this research gap by dimensionally evaluating gender and age differences in ADHD symptoms, as measured by a DSM-5-based parent rating scale, in children and adolescents who participated in the two-year follow-up of the community-based BELLA study (n = 1326). Associations between ADHD symptoms and depression symptoms and anxiety symptoms were also examined. Multiple linear regressions revealed significant associations between gender and all ADHD symptoms. Age was significantly associated with hyperactive/impulsive symptoms. Additional multiple linear regressions demonstrated significant positive associations between depression and anxiety symptoms and ADHD symptoms. Further, female gender was found to be positively associated with both depression and anxiety symptoms. These findings may suggest a need for more gender-specific approaches to ADHD diagnosis and treatment, as well as more research into the intersections of ADHD and depression and anxiety symptoms in children and adolescents.

Multimodal mental health assessment with remote interviews using facial, vocal, linguistic, and cardiovascular patterns

Objective

The current clinical practice of psychiatric evaluation suffers from subjectivity and bias, and requires highly skilled professionals that are often unavailable or unaffordable. Objective digital biomarkers have shown the potential to address these issues. In this work, we investigated whether behavioral and physiological signals, extracted from remote interviews, provided complimentary information for assessing psychiatric disorders.

Methods

Time series of multimodal features were derived from four conceptual modes: facial expression, vocal expression, linguistic expression, and cardiovascular modulation. The features were extracted from simultaneously recorded audio and video of remote interviews using task-specific and foundation models. Averages, standard deviations, and hidden Markov model-derived statistics of these features were computed from 73 subjects. Four binary classification tasks were defined: detecting 1) any clinically-diagnosed psychiatric disorder, 2) major depressive disorder, 3) self-rated depression, and 4) self-rated anxiety. Each modality was evaluated individually and in combination.

Results

Statistically significant feature differences were found between controls and subjects with mental health conditions. Correlations were found between features and self-rated depression and anxiety scores. Visual heart rate dynamics achieved the best unimodal performance with areas under the receiver-operator curve (AUROCs) of 0.68-0.75 (depending on the classification task). Combining multiple modalities achieved AUROCs of 0.72-0.82. Features from task-specific models outperformed features from foundation models.

Conclusion

Multimodal features extracted from remote interviews revealed informative characteristics of clinically diagnosed and self-rated mental health status.

Significance

The proposed multimodal approach has the potential to facilitate objective, remote, and low-cost assessment for low-burden automated mental health services.

Scoping review update on somatic symptom disorder that includes additional Chinese data

Somatic symptom disorder (SSD) is a new diagnosis introduced into the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), which is expected to solve the diagnostic difficulties of patients with medically unexplained symptoms. Based on the previous work, this review aims to comprehensively synthesise updated evidence related to SSD from recent years in English publications and, more extensively, from data published in Chinese language journals. The scoping review update was based on an earlier scoping review and included Chinese language publication data from China National Knowledge Internet (CNKI), WANFANG and WEIPU between January 2013 and May 2022 and data from PubMed, PsycINFO, and Cochrane Library between June 2020 and May 2022. Initially, 2 984 articles were identified, of which 63 full texts were included for analysis. In China, SSD is mainly applied in scientific research, but it also shows good predictive validity and clinical application potential. The mean frequency of SSD was 4.5% in the general population, 25.2% in the primary care population and 33.5% in diverse specialised care settings. Biological factors, such as brain region changes and heart rate variability, are associated with the onset of SSD. Psychological impairment related to somatic symptoms is the best predictor of prognosis. While adolescent SSD was significantly associated with family function, SSD overall is associated with an increased dysfunction of cognition and emotion, decreased quality of life, and high comorbidity with anxiety and depressive disorders. Further research is needed on suicide risk and cultural and gender-related issues. Updating the data of Chinese language studies, our research enriches the evidence-based findings related to the topics addressed in the text sections of the SSD chapter of DSM-5. However, research gaps remain about SSD reliability, population-based prevalence, suicide risk, and cultural and gender-related issues.

Genesis, modelling and methodological remedies to autism heterogeneity

Diagnostic criteria used in autism research have undergone a shift towards the inclusion of a larger population, paralleled by increasing, but variable, estimates of autism prevalence across clinical settings and continents. A categorical diagnosis of autism spectrum disorder is now consistent with large variations in language, intelligence, comorbidity, and severity, leading to a heterogeneous sample of individuals, increasingly distant from the initial prototypical descriptions. We review the history of autism diagnosis and subtyping, and the evidence of heterogeneity in autism at the cognitive, neurological, and genetic levels. We describe two strategies to address the problem of heterogeneity: clustering, and truncated-compartmentalized enrollment strategy based on prototype recognition. The advances made using clustering methods have been modest. We present an alternative, new strategy for dissecting autism heterogeneity, emphasizing incorporation of prototypical samples in research cohorts, comparison of subgroups defined by specific ranges of values for the clinical specifiers, and retesting the generality of neurobiological results considered to be acquired from the entire autism spectrum on prototypical cohorts defined by narrow specifiers values.

Psychometric properties of the Persian version of the somatic symptom disorder-B Criteria Scale (SSD-12) in community and clinical samples

OBJECTIVE

In the DSM-5's diagnostic criteria of somatic symptom disorders (SSD), the presence of psychological problems (i.e., excessive thoughts, feelings, or behaviors) is emphasized more than the absence of the medical causes of patients' bothersome symptoms. In this regard, the Somatic Symptom Disorder-B Criteria Scale (SSD-12) is a screening tool for assessing these psychological features in somatic symptom disorder. This study aimed to validate the Persian version of SSD-12 in the Iranian community (non-clinical) and clinical samples.

METHODS

Data was gathered from 291 individuals in a community sample (aged 18 to 54, M-age = 36.62, SD = 10.56, 79.7% females) and from clinical setting, including 118 patients diagnosed with major depressive disorder (MDD, aged 18 to 60, M-age = 36.52, SD = 11.39, 75.8% females) and 120 patients diagnosed with somatic symptom disorders (aged 18 to 60, M-age = 35.17, SD = 8.77, 73.7% females). To assess the convergent validity of SSD-12 in the clinical samples, participants were asked to complete measures assessing anxiety, depression, somatic symptoms, health anxiety, and emotional regulation.

RESULTS

Confirmatory Factor Analyses (CFAs) showed that the three-factor model of the SSD-12 reached acceptable fit in the community and clinical samples and yielded excellent internal consistency across the samples. Also, test-retest reliability analysis results were good in the community sample. Convergent validity could be shown in the clinical samples. A cut-off score greater than 14 was in the optimal state with a sensitivity of 70.83 and a specificity of 70.07.

CONCLUSION

The current study provides evidence on the factor structure, reliability, and validity of the Persian SSD-12 in the Iranian community and clinical samples. A sum score of 14 can be recommended as the cut-off point. Further studies are needed to assess SSD-12 in different clinical populations and larger samples.

A Systematic Review of Sleep–Wake Disorder Diagnostic Criteria Reliability Studies

The aim of this article is to provide a systematic review of reliability studies of the sleep–wake disorder diagnostic criteria of the international classifications used in sleep medicine. Electronic databases (ubMed (1946–2021) and Web of Science (—2021)) were searched up to December 2021 for studies computing the Cohen’s kappa coefficient of diagnostic criteria for the main sleep–wake disorder categories described in the principal classifications. Cohen’s kappa coefficients were extracted for each main sleep–wake disorder category, for each classification subtype, and for the different types of methods used to test the degree of agreement about a diagnosis. The database search identified 383 studies. Fifteen studies were analyzed in this systematic review. Insomnia disorder (10/15) and parasomnia disorder (7/15) diagnostic criteria were the most studied. The reliability of all sleep–wake disorders presented a Cohen’s kappa with substantial agreement (Cohen’s kappa mean = 0.66). The two main reliability methods identified were “test–retest reliability” (11/15), principally used for International Classification of Sleep Disorders (ICSD), and “joint interrater reliability” (4/15), principally used for Diagnostic and Statistical Manual of Mental Disorders (DSM) subtype diagnostic criteria, in particularl, the DSM-5. The implications in terms of the design of the methods used to test the degree of agreement about a diagnosis in sleep medicine are discussed.

How Much Training Do We Need? Assessing the Validity and Interrater Reliability of the PDM-2's Psychodiagnostic Chart among Less Experienced Clinicians

The Psychodynamic Diagnostic Manual - Second Edition (PDM-2) has emerging evidence supporting its clinical utility, yet one of the main limitations remains the conjecture that considerable training and experience is required. It also remains unclear how the PDM-2 framework compares with current DSM measures of personality pathology such as the Level of Personality Functioning Scale (LPFS). The aim of the present study is to examine these issues by testing whether less clinically experienced second year doctoral psychology students are able to reliably assess patients' level of personality pathology using the PDM-2's Psychodiagnostic Chart (PDC-2), and to investigate the convergence between the PDC-2 and the LPFS. Results showed adequate inter-rater reliability for both of the main PDC-2 axes, with 52% of the variance for the overall personality organization (P-Axis) rating, and 29% of the overall M-Axis score being due to rater consensus. Reliability of individual ratings ranged from fair to excellent for the overall scores on both axes (ICC = 0.59 to .90). Results also showed that student evaluations were valid, with the latter's assessment of the patients' level of personality organization converging both with the experts' rating of the PDC-2 as well as the LPFS. Implications for clinical training are discussed.

Revisiting the theoretical and methodological foundations of depression measurement

Depressive disorders are among the leading causes of global disease burden, but there has been limited progress in understanding the causes and treatments for these disorders. In this Perspective, we suggest that such progress crucially depends on our ability to measure depression. We review the many problems with depression measurement, including limited evidence of validity and reliability. These issues raise grave concerns about common uses of depression measures, such as diagnosis or tracking treatment progress. We argue that shortcomings arise because depression measurement rests on shaky methodological and theoretical foundations. Moving forward, we need to break with the field's tradition that has, for decades, divorced theories about depression from how we measure it. Instead, we suggest that epistemic iteration, an iterative exchange between theory and measurement, provides a crucial avenue for depression measurement to progress.

Cautionary Observations Concerning the Introduction of Psychophysiological Biomarkers into Neuropsychiatric Practice

The combination of statistical learning technologies with large databases of psychophysiological data has appropriately generated enthusiastic interest in future clinical applicability. It is argued here that this enthusiasm should be tempered with the understanding that significant obstacles must be overcome before the systematic introduction of psychophysiological measures into neuropsychiatric practice becomes possible. The objective of this study is to identify challenges to this effort. The nonspecificity of psychophysiological measures complicates their use in diagnosis. Low test-retest reliability complicates use in longitudinal assessment, and quantitative psychophysiological measures can normalize in response to placebo intervention. Ten cautionary observations are introduced and, in some instances, possible directions for remediation are suggested.

Reliability and clinical utility of the chronic pain classification in the 11th Revision of the International Classification of Diseases from a global perspective: results from India, Cuba, and New Zealand

ABSTRACT

Chronic pain affects 1 in 5 persons and contributes substantially to the global burden of disease. The 11th Revision of the International Classification of Diseases (ICD-11) includes a comprehensive classification of chronic pain. The aim of this ecological implementation field study was to evaluate the classification's interrater reliability and clinical utility in countries with different income levels. The study was conducted in 4 pain clinics in Cuba, India, and New Zealand. Twenty-one clinicians used the ICD-11 to diagnose and code n = 353 patients with chronic pain. Of these, 111 were assessed by 2 clinicians, and Fleiss' kappa was calculated to establish interrater reliability for any diagnosis assigned to ≥15 patients. The clinicians rated the clinical utility of all diagnoses. The interrater reliability could be calculated for 11 diagnoses. It was substantial for 10 diagnoses and moderate for 1 (kappa: 0.596-0.783). The mean clinical utility of the ICD-11 chronic pain diagnoses was rated as 8.45 ± 1.69/10. Clinical utility was rated higher for ICD-11 than for the commonly used classification systems (P < 0.001, η2 = 0.25) and differed between all centers (P < 0.001, η2 = 0.60). The utility of the ICD-11 diagnoses was rated higher than the commonly used diagnoses in Dunedin and Havana, and no difference was found in Kolkata and Hyderabad. The study showed the high interrater reliability of the new chronic pain diagnoses. The perceived clinical utility of the diagnoses indicates their superiority or equality compared with the classification systems currently used in pain clinics. These results suggest the global applicability of the classification in specialized pain treatment settings.

Somatic symptom disorder: a scoping review on the empirical evidence of a new diagnosis

BACKGROUND

In 2013, the diagnosis of somatic symptom disorder (SSD) was introduced into the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). This review aims to comprehensively synthesize contemporary evidence related to SSD.

METHODS

A scoping review was conducted using PubMed, PsycINFO, and Cochrane Library. The main inclusion criteria were SSD and publication in the English language between 01/2009 and 05/2020. Systematic search terms also included subheadings for the DSM-5 text sections; i.e., diagnostic features, prevalence, development and course, risk and prognostic factors, culture, gender, suicide risk, functional consequences, differential diagnosis, and comorbidity.

RESULTS

Eight hundred and eighty-two articles were identified, of which 59 full texts were included for analysis. Empirical evidence supports the reliability, validity, and clinical utility of SSD diagnostic criteria, but the further specification of the psychological SSD B-criteria criteria seems necessary. General population studies using self-report questionnaires reported mean frequencies for SSD of 12.9% [95% confidence interval (CI) 12.5-13.3%], while prevalence studies based on criterion standard interviews are lacking. SSD was associated with increased functional impairment, decreased quality of life, and high comorbidity with anxiety and depressive disorders. Relevant research gaps remain regarding developmental aspects, risk and prognostic factors, suicide risk as well as culture- and gender-associated issues.

CONCLUSIONS

Strengths of the SSD diagnosis are its good reliability, validity, and clinical utility, which substantially improved on its predecessors. SSD characterizes a specific patient population that is significantly impaired both physically and psychologically. However, substantial research gaps exist, e.g., regarding SSD prevalence assessed with criterion standard diagnostic interviews.

Towards equitable diagnoses for autism and attention-deficit/hyperactivity disorder across sexes and genders

PURPOSE OF REVIEW

Sex/gender-related factors contribute to contextual issues influencing the recognition of autism and attention-deficit/hyperactivity disorder (ADHD), and modulate how neurodevelopmental characteristics are manifested. This review summarizes the empirical literature to provide directions for improving clinical diagnostic practices.

RECENT FINDINGS

Timing of autism and/or ADHD diagnosis, particularly in girls/women, is related to the individual's developmental characteristics and co-occurring diagnoses, and expectancy, alongside gender stereotype biases, of referral sources and clinicians. This is further compounded by sex and gender modulations of behavioural presentations. The emerging 'female autism phenotype' concept may serve as a helpful illustration of nuanced autism phenotypes, but should not be viewed as essential features of autism in a particular sex or gender. These nuanced phenotypes that can present across sexes and genders include heightened attention to socially salient stimuli, friendship and social groups, richness in language expression, and more reciprocal behaviours. The nuanced female-predominant ADHD phenotypes are characterized by subtle expressions in hyperactivity-impulsivity (e.g., hyper-verbal behaviours). Optimizing neurodevelopmental diagnoses across sexes and genders also requires an understanding of sex-related and gender-related variations in developmental trajectories, including compensation/masking efforts, and the influences of co-occurring conditions on clinical presentations.

SUMMARY

Equitable diagnoses across sexes and genders for autism and ADHD require understanding of the nuanced presentations and the Gestalt clinical-developmental profiles, and addressing contextual biases that influence diagnostic practices.

Defining in Detail and Evaluating Reliability of DSM-5 Criteria for Autism Spectrum Disorder (ASD) Among Children

This paper describes a process to define a comprehensive list of exemplars for seven core Diagnostic and Statistical Manual (DSM) diagnostic criteria for autism spectrum disorder (ASD), and report on interrater reliability in applying these exemplars to determine ASD case classification. Clinicians completed an iterative process to map specific exemplars from the CDC Autism and Developmental Disabilities Monitoring (ADDM) Network criteria for ASD surveillance, DSM-5 text, and diagnostic assessments to each of the core DSM-5 ASD criteria. Clinicians applied the diagnostic exemplars to child behavioral descriptions in existing evaluation records to establish initial reliability standards and then for blinded clinician review in one site (phase 1) and for two ADDM Network surveillance years (phase 2). Interrater reliability for each of the DSM-5 diagnostic categories and overall ASD classification was high (defined as very good .60-.79 to excellent ≥ .80 Kappa values) across sex, race/ethnicity, and cognitive levels for both phases. Classification of DSM-5 ASD by mapping specific exemplars from evaluation records by a diverse group of clinician raters is feasible and reliable. This framework provides confidence in the consistency of prevalence classifications of ASD and may be further applied to improve consistency of ASD diagnoses in clinical settings.

Intra-rater Kappa Accuracy of Prototype and ICD-10 Operational Criteria-Based Diagnoses for Mental Disorders: A Brief Report of a Cross-Sectional Study in an Outpatient Setting

BACKGROUND AND OBJECTIVES

The use of "operational criteria" is a solution for low reliability, contrasting with a prototypical classification that is used in clinics. We aim to measure the reliability of prototypical and ICD-10 diagnoses.

METHODS

This is a retrospective study, with a convenience sample of subjects treated in a university clinic. Residents reviewed their diagnosis using ICD-10 criteria, and Cohen's kappa statistic was performed on operational and prototype diagnoses.

RESULTS

Three out of 30 residents participated, reviewing 146 subjects under their care. Diagnoses were grouped in eight classes: organic (diagnoses from F00 to F09), substance disorders (F10-F19), schizophrenia spectrum disorders (F20-F29), bipolar affective disorder (F30, F31, F34.0, F38.1), depression (F32, F33), anxiety-related disorders (F40-F49), personality disorders (F60-F69), and neurodevelopmental disorders (F70-F99). Overall, agreement was high [K = 0.77, 95% confidence interval (CI) = 0.69-0.85], with a lower agreement related to personality disorders (K = 0.58, 95% CI = 0.38-0.76) and higher with schizophrenia spectrum disorders (K = 0.91, 95% CI = 0.82-0.99).

DISCUSSION

Use of ICD-10 criteria did not significantly increase the number of diagnoses. It changed few diagnoses, implying that operational criteria were irrelevant to clinical opinion. This suggests that reliability among interviewers is more related to information gathering than diagnostic definitions. Also, it suggests an incorporation of diagnostic criteria according to training, which then became part of the clinician's prototypes. Residents should be trained in the use of diagnostic categories, but presence/absence checking is not needed to achieve operational compatible diagnoses.

A Crosswalk Study of DSM-IV and DSM-5 Criteria for PTSD from the DSM-5 Field Trials

Objective: Posttraumatic stress disorder (PTSD) is prevalent and sometimes severely disabling. Providing effective treatment for PTSD and addressing its social consequences require accurate diagnosis. PTSD criteria have changed in all editions of the American Diagnostic Criteria since introduction of the diagnosis in DSM-III in 1980. The DSM-5 Field Trials demonstrated very good inter-rater reliability for PTSD, but a crosswalk study comparing DSM-IV and DSM-5 criteria has potential to identify diagnostic differences generated by changed criteria. Methods: A DSM-IV to DSM-5 PTSD crosswalk study was conducted in real-world adult clinical treatment settings in two DSM-5 Field Trials sites, the Dallas (N = 93) and Houston (N = 48) Veterans Affairs medical centers. The crosswalk assessment was conducted by trained clinicians who interviewed the patients and rated both sets of criteria on a combined checklist. Results: PTSD prevalence differed insubstantially between criteria sets (42% vs. 45% and 55% vs. 52% in the Dallas and Houston sites, respectively), with moderate to excellent diagnostic agreement (reliability indicated, respectively, by κ = .53 and .93); however, substantial proportions of individuals diagnosed in one criteria set did not meet criteria in the other. Differences in cross-criteria diagnostic reliability were largely a function of differing definitions of criterion A trauma. Conclusions: Reliability across the two criteria sets was generally good to excellent, and diagnostic discrepancy predominantly reflected the elimination of criterion A2 in DSM-5 with a smaller contribution from changes to the avoidance and numbing criteria.

[Introduction to the hierarchical taxonomy of psychopathology]

INTRODUCTION

In clinical practice, the usefulness of diagnosis based on the Diagnostic or Statistical Manual of Mental Disorders (DSM) or the International Classification of Diseases, 11th edition, appears essential from a clinical, research, epidemiological, administrative, economic and political level. However, such diagnostic systems have shortcomings in terms of validity, little consideration of comorbidities and strong intra-class heterogeneity. On a structural level, the operationalization of its criteria is based on a reliability which has been defined a posteriori and which does not lead to improving the validity of the diagnosis but rather to the reification of the diagnostic categories.

METHODS

First published in its current form in 2017, the Hierarchical Taxonomy of Psychopathology (HiTOP) constitutes a nosological alternative based on statistics. It conceptualizes psychopathology as a set of hierarchical dimensions, i.e. in "transdiagnostic" continua. The HiTOP is structured according to super-spectra, spectra, sub-factors, syndromes, components and symptoms. This comes from the current dimensional psychology and quantitative nosology. This article describes the basic principles of the HiTOP project and its potential to integrate into clinical and psychiatric research based on its advantages and limitations.

RESULTS

Unlike the DSM, which is descriptive and categorical, the HiTOP is first a dimensional classification. This dimensionality describes psychiatric phenomena on continua, each dimension providing a diagnostic continuum to situate a clinical patient. This dimensionality avoids the reification of categories and it limits the dichotomy between normal and pathological. In addition, HiTOP shows a hierarchical structure: vertical refinement of dimensions allows to circumvent the problem of comorbidities, proposes a new conception of etiopathogenic mechanisms, and improves management of care.

DISCUSSION

Thus, we provide an illustration of the applications of a dimensional and hierarchical classification in current clinical practice and scientific research, compared to traditional nosology. The challenges of the HiTOP arise in terms of validity, i.e. in the relation of dimensions with physiopathological mechanisms, in clinical terms, i.e. in the potential contribution of dimensions in relation to categories. Moreover, methodological challenges will be important given the inherent limitations of the HiTOP.

CONCLUSION

The HiTOP allows to examine the conceptualization of psychiatric disorders, the search for explanatory mechanisms, and treatment from another perspective for psychiatry.

Differences in Patient and Parent Informant Reports of Depression and Anxiety Symptoms in a Clinical Sample of Transgender and Gender Diverse Youth

Purpose: We assessed characteristics of patients at a pediatric gender clinic and investigated if reports of mental health concerns provided by transgender and gender diverse (TGD) youth patients differed from reports provided by a parent informant on their behalf. Methods: This cross-sectional study included 259 TGD patients 8 to 22 years of age attending a pediatric gender clinic in the southeast United States from 2015 to 2020. Pearson correlations and paired sample t-tests compared patient-reported mental health concerns at patient intake with those provided by a parent informant. Clinical symptom severity was assessed with standardized T-scores. Level 2 Patient-Reported Outcomes Measurement Information System (PROMIS) Emotional Distress-Depression Scale and Level 2 PROMIS Emotional Distress-Anxiety Scale assessed depression and anxiety symptoms of patients. Diagnostic and Statistical Manual of Mental Disorders Fifth Edition Parent/Guardian-Rated Level 1 Cross-Cutting Symptom Measure was used with parents. Results: Patients had a mean age of 14.9 at first visit, with most identifying as White (85.5%), non-Hispanic (91.1%), and as a boy or man (63.6%). Half had moderate-to-severe depression (51.2%) or anxiety (47.9%) symptoms. There was a moderate, positive correlation between patient-reported and parent-reported depression symptoms, with no correlation for anxiety symptoms. Informant type differences were statistically significant (patients reporting greater depression and anxiety symptoms). Conclusions: TGD youth patients reported more severe depression and anxiety symptoms compared with parent informants. Despite moderate agreement on depression symptoms, parents did not accurately detect their child's anxiety symptoms. These discrepancies highlight a need for interventions which increase parental recognition of child mental health status.

Do DSM classifications help or hinder drug development?

Development and regulatory approval of psychotropic drugs targets individuals with syndromes described in the current Diagnostic and Statistical Manual of Mental Disorders (DSM). This helps drug developers and regulators to communicate with prescribers, and prescribers to match a specific psychotropic with the individual patient(s) most likely to benefit from it. However, this practice has been criticized on the grounds that DSM syndromes are too heterogenous biologically, and the effects of psychotropics are too nonspecific to allow for an effective match. This review considers the advantages and disadvantages of the current practice and the possible alternatives. It concludes that efforts should be made to explore psychotropic development transdiagnostically, free of the DSM boundaries. However, currently there exists no alternative diagnostic system that is clearly superior to the DSM in terms of communications between the stakeholders in drug development.


Smartphones and the Neuroscience of Mental Health

Improvements in understanding the neurobiological basis of mental illness have unfortunately not translated into major advances in treatment. At this point, it is clear that psychiatric disorders are exceedingly complex and that, in order to account for and leverage this complexity, we need to collect longitudinal data sets from much larger and more diverse samples than is practical using traditional methods. We discuss how smartphone-based research methods have the potential to dramatically advance our understanding of the neuroscience of mental health. This, we expect, will take the form of complementing lab-based hard neuroscience research with dense sampling of cognitive tests, clinical questionnaires, passive data from smartphone sensors, and experience-sampling data as people go about their daily lives. Theory- and data-driven approaches can help make sense of these rich data sets, and the combination of computational tools and the big data that smartphones make possible has great potential value for researchers wishing to understand how aspects of brain function give rise to, or emerge from, states of mental health and illness.

How well are DSM-5 diagnostic criteria for ASD represented in standardized diagnostic instruments?

Five years after the publication of DSM-5 in 2013, three widely used diagnostic instruments have published algorithms designed to represent its (sub-)criteria for Autism Spectrum Disorder (ASD) in children and adolescents. This study aimed to: (1) establish the content validity of these three DSM-5-adapted algorithms, and (2) identify problems with the operationalization of DSM-5 diagnostic criteria in measurable and observable behaviors. Algorithm items of the Autism Diagnostic Observation Schedule-Second Edition (ADOS-2), Developmental, Dimensional and Diagnostic Interview (3di) and Diagnostic Interview for Social and Communication Disorders-11th edition (DISCO-11) were mapped onto DSM-5 sub-criteria. The development and decision-making rules integrated in their algorithms were then compared with DSM-5. Results demonstrated significant variability in the number and nature of sub-criteria covered by the ADOS-2, 3di and DISCO-11. In addition to differences in the development of algorithms and cut-off scores, instruments also differed in the extent to which they follow DSM-5 decision-making rules for diagnostic classification. We conclude that such differences in interpretation of DSM-5 criteria provide a challenge for symptom operationalization which will be most effectively overcome by consensus, testing and reformulation.

Counterpoint. Early intervention for psychosis risk syndromes: Minimizing risk and maximizing benefit

BACKGROUND

Malhi et al. in this issue critique the clinical high risk (CHR) syndrome for psychosis.

METHOD

Response to points of critique.

RESULTS

We agree that inconsistency in CHR nomenclature should be minimized. We respectfully disagree on other points. In our view: a) individuals with CHR and their families need help, using existing interventions, even though we do not yet fully understand disease mechanisms; b) substantial progress has been made in identification of biomarkers; c) symptoms used to identify CHR are specific to psychotic illnesses; d) CHR diagnosis is not "extremely difficult"; e) the pattern of progression, although heterogenous, is discernible; f) "psychosis-like symptoms" are common but are not used to identify CHR; and g) on the point described as 'the real risk,' CHR diagnosis does not frequently cause harmful stigma.

DISCUSSION

Malhi et al.'s arguments do not fairly characterize progress in the CHR field nor efforts to minimize stigma. That said, much work remains in areas of consistent nomenclature, mechanisms of disease, dissecting heterogeneity, and biomarkers. With regard to what the authors term the "real risk" of stigma associated with a CHR "label," however, our view is that avoiding words like "risk" and "psychosis" reinforces the stigma that both they and we mean to oppose. Moreover, patients and their families benefit from being given a term that describes what is happening to them.

Resting State Functional Connectivity Biomarkers of Treatment Response in Mood Disorders: A Review

There are currently no validated treatment biomarkers in psychiatry. Resting State Functional Connectivity (RSFC) is a popular method for investigating the neural correlates of mood disorders, but the breadth of the field makes it difficult to assess progress toward treatment response biomarkers. In this review, we followed general PRISMA guidelines to evaluate the evidence base for mood disorder treatment biomarkers across diagnoses, brain network models, and treatment modalities. We hypothesized that no treatment biomarker would be validated across these domains or with independent datasets. Results are organized, interpreted, and discussed in the context of four popular analytic techniques: (1) reference region (seed-based) analysis, (2) independent component analysis, (3) graph theory analysis, and (4) other methods. Cortico-limbic connectivity is implicated across studies, but there is no single biomarker that spans analyses or that has been replicated in multiple independent datasets. We discuss RSFC limitations and future directions in biomarker development.

Questionable Agreement: The Experience of Depression and DSM-5 Major Depressive Disorder Criteria

Immediately before the release of DSM-5, a group of psychiatric thought leaders published the results of field tests of DSM-5 diagnostic criteria. They characterized the interrater reliability for diagnosing major depressive disorder by two trained mental health practitioners as of "questionable agreement." These field tests confirmed an open secret among psychiatrists that our current diagnostic criteria for diagnosing major depressive disorder are unreliable and neglect essential experiences of persons in depressive episodes. Alternative diagnostic criteria exist, but psychiatrists rarely encounter them, forestalling the discipline's epistemological crisis. In Alsadair MacIntyre's classic essay, such crises occur in science when a person encounters a rival schemata that is incompatible with their current schemata and subsequently constructs a narrative that allows them to reconstruct their own tradition. In search of rival schemata that are in conversation with their own tradition, psychiatric practitioners can utilize alternative diagnostic criteria like the Cultural Formulation Interview, embrace an epistemologically humble psychiatry, and attend to the narrative experience of a person experiencing a depressive episode.

Psychometric Properties of Persian Version of Structured Clinical Interview for DSM-5-Research Version (SCID-5-RV): A Diagnostic Accuracy Study

Background: The structured clinical interview for DSM-5 has recently been revised to reflect the new findings in the diagnostic criteria of psychological disorders. Objectives: The present study aimed to evaluate the reliability and validity of the Persian translation of structured clinical interview for diagnostic and statistical manual of mental disorders-fifth edition (DSM-5)-research version (SCID-5-RV) on Iranian adult population. Methods: In the current diagnostic accuracy study a total of 305 clinical samples were admitted to fifteen adult clinical settings and a subsample of these participants (n = 50, with a mean age of 34.31 and a standard deviation of 11.96) was recruited to evaluate test-retest reliability, and 40 non-clinical participants were recruited to examine construct validity. All participants completed the Millon Clinical Multiaxial inventory-III (MCMI-III) and Brief Symptom inventory (BSI). Results: SCID psychometric properties indicated an acceptable range for internal consistency (0.95 - 0.99), test-retest reliability (0.60 - 0.79), and Kappa reliability (0.57 - 0.72). Further, the agreement between interviewer and psychiatrist diagnoses was assessed using the Kappa index, and the result was satisfactory. The current diagnostic accuracy study used sensitivity and specificity indexes to assess the diagnostic validity of SCID by positive predictive value and also negative predictive value under the “likelihood ratio” domain. Specificity values for most psychiatric disorders were high; the sensitivity values were to somewhat lower. Furthermore, SCID-5-RV categorical diagnoses demonstrated an acceptable construct validity based on the significant differences between the clinical and non-clinical samples in all subscales of BSI except for phobia as well as all clinical subscales of MCMI-III. Conclusions: In general, the Persian translation of SCID-5-RV represented acceptable reliability and validity for various categorical diagnoses in different clinical settings.

Evaluation of the International Classification of Diseases-11 chronic pain classification: study protocol for an ecological implementation field study in low-, middle-, and high-income countries

Introduction

The purpose of the present ecological implementation field study is to evaluate the new classification of chronic pain as implemented in the 11th revision of the International Classification of Diseases (ICD-11) with regard to clinical utility and interrater reliability. To evaluate the classification in a variety of settings, the study will be implemented in different low-, middle-, and high-income countries.

Methods

The study will be conducted in 2 phases. Participating pain clinics of the first phase are located in India, Cuba, and New Zealand. Two or more clinicians per study center will use the ICD-11 classification of chronic pain to diagnose 75 to 100 consecutive new chronic pain patients per center. A structured classification algorithm will guide the diagnostic process. Interrater reliability will be analyzed for the first 20 consecutive new patients per center. Before the coding, a training workshop will introduce the clinicians to the new classification. The main outcome parameter of the ecological implementation field study is clinical utility. More specifically, this entails clinical utility ratings, interrater reliability, as well as the exhaustiveness of the classification and the mutual exclusiveness of the new chronic pain categories. Differences between countries with different cultural backgrounds and income levels will be analyzed.

Perspective

The ecological implementation field study presented here will be implemented in several countries with different income levels. This increases the generalizability of the results and allows initial insight into the global applicability of the new chronic pain classification. A positive evaluation can facilitate the implementation of the classification.

Minimal phenotyping yields genome-wide association signals of low specificity for major depression

Minimal phenotyping refers to the reliance on the use of a small number of self-reported items for disease case identification, increasingly used in genome-wide association studies (GWAS). Here we report differences in genetic architecture between depression defined by minimal phenotyping and strictly defined major depressive disorder (MDD): the former has a lower genotype-derived heritability that cannot be explained by inclusion of milder cases and a higher proportion of the genome contributing to this shared genetic liability with other conditions than for strictly defined MDD. GWAS based on minimal phenotyping definitions preferentially identifies loci that are not specific to MDD, and, although it generates highly predictive polygenic risk scores, the predictive power can be explained entirely by large sample sizes rather than by specificity for MDD. Our results show that reliance on results from minimal phenotyping may bias views of the genetic architecture of MDD and impede the ability to identify pathways specific to MDD.

A systematic scoping review of diagnostic validity in avoidant/restrictive food intake disorder

OBJECTIVE

Avoidant/restrictive food intake disorder (ARFID) was introduced as a new diagnosis in the DSM-5. This systematic scoping review explores how ARFID as a diagnostic entity is conceptualized in the research literature and evaluates the diagnostic validity according to the Feighner criteria.

METHOD

A systematic scoping review of papers on ARFID in PubMed/MEDLINE and Web of Science was undertaken, following PRISMA and Joanna Briggs Institute guidelines.

RESULTS

Fifty-one original research publications, 23 reviews and commentaries, and 20 case reports were identified. The use of ARFID as a conceptual category varies significantly within this literature. At this time, the ARFID diagnosis does not fulfil the Feighner criteria for evaluating the validity of diagnostic constructs, the most urgent problem being the demarcation toward other disorders. A three-dimensional model-lack of interest in food, selectivity based on sensory sensitivity, and fear of aversive consequences-is gaining support in the research literature.

DISCUSSION

The introduction of the ARFID diagnosis has undoubtedly increased the recognition of a previously largely neglected group of patients. However, this article points to an inability of the current DSM-5 diagnostic criteria to ensure optimal diagnostic validity, which risks making them less useful in clinical practice and in epidemiological research. To increase the conceptual validity of the ARFID construct, several possible alterations to the current diagnostic criteria are suggested, including a stronger emphasis of the three identified subdomains and further clarifying the boundaries of ARFID.

Do different factors influence whether girls versus boys meet ADHD diagnostic criteria? Sex differences among children with high ADHD symptoms

We investigate if different factors influence whether girls versus boys meet diagnostic criteria for attention-deficit/hyperactivity disorder(ADHD) among children with high ADHD symptoms. Participants were 283 children aged 7-12 from a population-based study. Girls and boys meeting diagnostic criteria for ADHD, based on an objective investigator-based interview, were compared to children who did not meet criteria despite high symptoms on a rating-scale measure of ADHD. We assessed factors that could differentially relate to diagnosis across girls and boys including ADHD symptoms, co-occurring behavioural/emotional problems and impairment, and sex-effects in rater perceptions of ADHD symptoms. While overall similar factors distinguished girls and boys who met diagnostic criteria from high-symptom peers, effect sizes were larger in girls. Emotional problems were particularly salient to distinguishing diagnosed versus high-symptom girls but not boys. Parents rated boys meeting diagnostic criteria as more impaired than high-symptom boys but did not do so for girls, and under-rated diagnosed girls' hyperactive/impulsive symptoms compared to more objective interview assessment, with the opposite observed in boys. Results suggest girls' ADHD may need to be made more prominent by additional behavioural/emotional problems for them to meet full diagnostic criteria and that sex differences in parental perceptions of ADHD behaviours and impairment exist.

Classification of Psychiatric Disorders

Because of the poor link between psychiatric diagnosis and neurobiological findings, it is difficult to classify mental disorders. The changes made to psychiatric diagnostic systems over the years can be understood in terms of "practical conservatism." The Diagnostic and Statistical Manual of Mental Disorders (DSM)-I and DSM-II were theoretically supported by the psychoanalytic and psychodynamic approach. Subsequently, psychiatric diagnoses of this kind were opposed by the anti-psychiatry movement, as well as by the findings of the Rosenhan experiment. Thus, the DSM-III revolution contained more empiricism, aligning psychiatry with biomedicine. Psychiatric diagnoses are classified and defined in terms of Kraepelinian dualism, using a categorical approach. The empirical trend was continued in the DSM-IV. To overcome the limitations of current psychiatric diagnostic systems and integrate fundamental genetic, neurobiological, behavioral, environmental, and experimental components into psychiatry, the Research Domain Criteria (RDoC) were established. To overcome the limitations of the categorical approach, psychiatrists have considered adopting a dimensional approach. However, their efforts were frustrated in the DSM-5 revision process. Thus, the DSM-5 is characterized by the rearrangement of psychiatric diagnoses, the partial adoption of a dimensional approach, the introduction of new diagnoses, and harmonization with the International Classification of Diseases.

A historical account of schizophrenia proneness categories from DSM-I to DSM-5 (1952-2013)

The history of diagnostic classifications in psychiatry has been recognized as a privileged means of access to the vicissitudes inherent to the configuration of a scientific and professional field, also bringing significant contributions to conceptual history. We have taken as primary sources the five editions of the DSM (1952-2013) to examine the construction of diagnostic categories related to schizophrenia proneness, indicating the scientific and social contexts related to the development of DSM and psychiatry itself. Along this process we highlight the conditions of possibility for the emergence of the Attenuated Psychosis Syndrome, a highly controversial diagnostic proposal, in the elaboration of DSM-5. This proposal ended up being rejected not only on scientific grounds, but also because of feared unintended consequences.

Maladaptive personality traits in patients identified at lower-risk and higher-risk for psychosis

The 'at-risk' state for psychosis is a high-risk paradigm that examines factors that contribute to conversion to a first episode of psychosis. Although a multitude of contributing factors have been identified in one's susceptibility to conversion to psychosis, dimensional pathological personality traits have not been examined in 'at-risk' populations. In this study we examine lower- versus higher-risk for psychosis using traits from the DSM-5 Alternative Dimensional Model of Personality Disorders (AMPD) to investigate which AMPD personality traits distinguish those 'at-risk' patients at relatively lower-risk for conversion to psychosis versus those at higher-risk. Remitted schizophrenic patients served as the comparison group. MANOVA analyses revealed significant group differences on the PID-5, with the higher-risk patients scoring higher on two of the five AMPD trait domains - Negative Affectivity and Detachment - compared to lower-risk patients. Maladaptive personality traits from the AMPD may serve as potential risk factor for conversion to psychosis.

Normative and Maladaptive Personality Trait Models of Mood, Psychotic, and Substance Use Disorders

The Personality Inventory for DSM-5 (PID-5) is a questionnaire developed to assess the five domains represented in the alternative model for personality disorders proposed in Section III of the DSM-5. This study examined the ability of the PID-5 to distinguish between different mental disorders compared to a questionnaire measure of the five-factor model (FFM) of normative personality. The study included the administration of the PID-5 and Revised NEO Personality Inventory (NEO PI-R), a measure of the FFM, to treatment-seeking individuals with Depressive, Bipolar, Psychotic, and Alcohol Use Disorders (AUD). Diagnostic groups were compared at the domain level of PID-5 and NEO PI-R, with sex and age as covariates. The main findings on the PID-5 included higher Detachment scores for Bipolar and Depressive Disorders than Psychotic and AUDs, lower Psychoticism/higher Disinhibition scores for the AUD group compared to all other groups, and lower Negative Affect for the Psychotic Disorders versus AUD group. On the NEO PI-R, the AUD diagnostic group was associated with lower Conscientiousness and Agreeableness scores compared to all other groups, and lower Neuroticism scores than the Bipolar and Depressive groups. Group pairwise comparisons did not appear to show many differences between the PID-5 and NEO PI-R. The results suggest that the alternative DSM-5 model for personality disorders may have clinical utility in distinguishing personality profiles between diagnostic groups. These findings emphasize the importance of additional research on the capacity of maladaptive personality to contribute to the assessment of differential diagnoses.

Using a Clinician-Administered Interview to Examine the Overlap in Posttraumatic Stress Disorder Criteria D and E

Although the diagnosis of posttraumatic stress disorder (PTSD) is often criticized for including symptoms that overlap with one another, only one study has explored the impact of symptom reporting. Using a clinician-rated interview for PTSD (N = 558), the current study examined overlap between PTSD criteria D1, D2, and D3 ("target D symptoms") and criterion E symptoms of similar content (i.e., E1 and E3). Furthermore, their impact on meeting criterion and disorder cutoffs was examined. Results revealed that target symptoms were endorsed in conjunction more than half the time. Criteria D and E also were often coded together. Removal of target D symptoms resulted in 24.7% of participants no longer meeting criterion D, but no reduction in the diagnosis of PTSD. This article is one of the first to report the functioning of the new criterion D symptoms, and the results have diagnostic implications for research and clinical work.

The ICD-11 developmental field study of reliability of diagnoses of high-burden mental disorders: results among adult patients in mental health settings of 13 countries

Reliable, clinically useful, and globally applicable diagnostic classification of mental disorders is an essential foundation for global mental health. The World Health Organization (WHO) is nearing completion of the 11th revision of the International Classification of Diseases and Related Health Problems (ICD-11). The present study assessed inter-diagnostician reliability of mental disorders accounting for the greatest proportion of global disease burden and the highest levels of service utilization - schizophrenia and other primary psychotic disorders, mood disorders, anxiety and fear-related disorders, and disorders specifically associated with stress - among adult patients presenting for treatment at 28 participating centers in 13 countries. A concurrent joint-rater design was used, focusing specifically on whether two clinicians, relying on the same clinical information, agreed on the diagnosis when separately applying the ICD-11 diagnostic guidelines. A total of 1,806 patients were assessed by 339 clinicians in the local language. Intraclass kappa coefficients for diagnoses weighted by site and study prevalence ranged from 0.45 (dysthymic disorder) to 0.88 (social anxiety disorder) and would be considered moderate to almost perfect for all diagnoses. Overall, the reliability of the ICD-11 diagnostic guidelines was superior to that previously reported for equivalent ICD-10 guidelines. These data provide support for the suitability of the ICD-11 diagnostic guidelines for implementation at a global level. The findings will inform further revision of the ICD-11 diagnostic guidelines prior to their publication and the development of programs to support professional training and implementation of the ICD-11 by WHO member states.

The Validity and Clinical Utility of the Personality Inventory for DSM-5 Response Inconsistency Scale

The Personality Inventory for DSM-5 (PID-5; Krueger, Derringer, Markon, Watson, & Skodol, 2012) is a self-report instrument designed to assess the personality traits of the alternative model of personality disorders (AMPD) in Section III of the DSM-5. Despite its relatively recent introduction to the field, the instrument is frequently and widely used. One criticism of this instrument is that it does not include validity scales to detect potentially invalidating response style, including noncredible over- and underreporting and inconsistent (random) responding. Keeley, Webb, Peterson, Roussin, and Flanagan (2016) constructed an inconsistency scale (the PID-5-INC) to assess random responding on PID-5 and proposed a number of potential cut scores that could be applied. In this study, we attempted to cross-validate the PID-5-INC, including whether the scale could detect randomly generated protocols and distinguish them from nonrandom protocols produced by two student and two clinical samples. The PID-5-INC successfully distinguished random from nonrandom protocols and the best cut scores were similar to those reported by Keeley et al. (2016). We also found that a relatively low amount of random responding compromised the psychometric validity of the PID-5 trait scales, which extended previous work on this instrument.

Patients with anxious depression: overview of prevalence, pathophysiology and impact on course and treatment outcome

PURPOSE OF REVIEW

Major depressive disorder with a comorbid anxiety disorder or with significant anxiety symptoms (here called anxious depression) is common and has been associated with poor clinical course trajectories. However, various dichotomous as well as dimensional definitions have been used to label anxious depression and it remains unclear to which extent these result in inconsistent findings. This review provides an overview of recent literature on the impact of anxiety in depressed patients on clinical course trajectories, treatment outcomes, and underlying neurobiological dysregulations.

RECENT FINDINGS

Anxious depression seems associated with poorer clinical course trajectories and treatment nonresponse as compared with 'pure' depression, regardless of which definition is used. Recent studies have attempted to determine specific efficacy of novel pharmacological treatments for anxious depressed patients, but have not been conclusive because of the insufficient number of studies and differences in definitions and assessment of anxious depression. Neurobiology studies suggest that anxious depression is associated with increased immune dysregulation, more cortical thinning, and corticolimbic dysfunctions as compared with 'pure' depression.

SUMMARY

Anxious depression appears to be a common and clinically relevant subtype of depression as it predicts poorer course trajectories. As populations with anxious depression may benefit from specific treatment regimens, further research is necessary to better delineate its definition and neurobiology. The relatively new Diagnostic and Statistical Manual of Mental Disorders-5 anxious distress specifier is a welcome development and should be further investigated and compared against other anxiety constructs.