Integrating Clinical Staging and Phenomenological Psychopathology to Add Depth, Nuance, and Utility to Clinical Phenotyping: A Heuristic Challenge

Psychiatry has witnessed a new wave of approaches to clinical phenotyping and the study of psychopathology, including the National Institute of Mental Health’s Research Domain Criteria, clinical staging, network approaches, the Hierarchical Taxonomy of Psychopathology, and the general psychopathology factor, as well as a revival of interest in phenomenological psychopathology. The question naturally emerges as to what the relationship between these new approaches is – are they mutually exclusive, competing approaches, or can they be integrated in some way and used to enrich each other? In this opinion piece, we propose a possible integration between clinical staging and phenomenological psychopathology. Domains identified in phenomenological psychopathology, such as selfhood, embodiment, affectivity, etc., can be overlaid on clinical stages in order to enrich and deepen the phenotypes captured in clinical staging (‘high resolution’ clinical phenotypes). This approach may be useful both ideographically and nomothetically, in that it could complement diagnosis, enrich clinical formulation, and inform treatment of individual patients, as well as help guide aetiological, prediction, and treatment research. The overlaying of phenomenological domains on clinical stages may require that these domains are reformulated in dimensional rather than categorial terms. This integrative project requires assessment tools, some of which are already available, that are sensitive and thorough enough to pick up on the range of relevant psychopathology. The proposed approach offers opportunities for mutual enrichment: clinical staging may be enriched by introducing greater depth to phenotypes; phenomenological psychopathology may be enriched by introducing stages of severity and disorder progression to phenomenological analysis

Distress in relation to attenuated psychotic symptoms in the ultra-high-risk population is not associated with increased risk of psychotic disorder.

AIM: The \u27ultra-high-risk\u27 criteria identify a clinical population at substantially increased risk for progressing to schizophrenia and other psychotic disorders. Although a number of clinical variables predictive of transition to psychotic disorder have been identified within this population, the predictive value of the level of distress associated with attenuated psychotic symptoms has not yet been examined. This was the aim of the present study. METHOD: The level of distress (0-100) associated with attenuated psychotic symptoms was recorded for 70 ultra-high-risk (UHR) patients using the Comprehensive Assessment of At-Risk Mental State (CAARMS). Transition to psychosis was assessed over a 16-month follow-up period. RESULTS: Of the 70 UHR patients, 15 transitioned to psychosis (21.4%). Of the four CAARMS subscales measuring attenuated positive symptoms, Perceptual Abnormalities was rated as the most distressing. There were no differences in CAARMS scales rated as the most distressing between those who transitioned to psychosis and those who did not. There was also no association between higher levels of distress associated with attenuated psychotic symptoms and transition to psychosis. CONCLUSION: Although the findings require replication, they indicate that the degree of distress associated with attenuated psychotic symptoms should not be used as a criterion for enriching UHR samples for risk of frank psychotic disorder

Funding for mental health research: the gap remains

Objectives: To examine the levels and growth rates of absolute funding to mental health research from 2001 to 2010, compared with other National Health Priority Areas (NHPAs), and the relative rate of mental health funding compared with other NHPAs, by taking disease burden into account. The quality of Australian research in mental health was also examined using objective indicators of research strength. Design and setting: Retrospective analysis of levels of funding overall and as a function of mental health domains using data from the National Health and Medical Research Council, with and without adjustment for burden of disease. A keyword analysis was used to assess the success rate of mental health project grant applications. Objective indicators of the quality of Australian mental health research were sought from citation indicators. Main outcome measures: Funding for mental health research relative to disease burden; funding according to disease category; project grant success rates. Results: Using actual and adjusted figures, mental health research received a lower proportion of health funding than other NHPAs, including cancer, diabetes and cardiovascular disease. Research projects into substance misuse and autism were proportionately better funded than those in anxiety, depression or schizophrenia. A significant proportion of mental health research funding was awarded to research into ageing. Citation data indicated that mental health research in Australia performed better than research in neuroscience, clinical medicine, microbiology, and pharmacology and toxicology, and at a comparable level to immunology research, despite poor levels of funding. Conclusions: Low levels of funding for mental health research appear to be largely attributable to low capacity. Mental health research in Australia is of high quality, and efforts are needed to build capacity

Seasonal influences on first-episode admission in affective and non-affective psychosis

Background: Since bipolar affective disorder has been recorded, clinicians treating patients with this disorder have noted the cyclic nature of episodes, particularly an increase in mania in the spring and summer months and depression during winter. Objective: The aim of this study was to investigate seasonality in symptom onset and service admissions over a period of 10 years in a group of patients (n= 359) with first-episode (FE) mania (n= 133), FE schizoaffective disorder (n= 49) and FE schizophrenia (n= 177). Method: Patients were recruited if they were between 15 and 28 years of age and if they resided in the geographical mental health service catchment area. The number of patients experiencing symptom onset and service admission over each month and season was recorded. Results: In terms of seasonality of time of service admission, the results indicate a high overall seasonality (particularly in men), which was observed in both the schizoaffective and the bipolar groups. In terms of seasonality of symptom onset, the results indicate that seasonality remains in the male bipolar group, but other groups have no seasonal trend. Conclusions: This provides further evidence that systems mediating the entrainment of biological rhythms to the environment may be more pronounced in BPAD than in schizoaffective disorder and schizophrenia. These results may help facilitate the preparedness of mental heath services for patients at different times of the yea

The effectiveness of simple psychological and exercise interventions for high prevalence mental health problems in young people: a factorial randomised controlled trial

<p>Abstract</p> <p>Background</p> <p>The prevalence of mental illness in young people is the highest of any age group, with the onset of depression, anxiety and substance use peaking between 18 and 24 years. Effective treatments that target sub-threshold or mild to moderate levels of disorder in young people are required to reduce the risk of persistence and recurrence. The aims of this study are to evaluate whether treatments that are less intensive than cognitive-behaviour therapy, such as problem solving therapy and exercise treatments, are acceptable and effective in managing depression and anxiety symptoms in young people and to identify possible attributes in those who are likely to respond to these treatments.</p> <p>Methods/design</p> <p>This is a factorial randomised controlled trial conducted at a large, metropolitan youth mental health service. Participants are young help-seekers aged 15-25 years with sub-threshold or mild to moderate levels of depression and anxiety (with or without comorbid substance use). The interventions comprise 4 treatment combinations delivered by psychologists over 6 sessions on a weekly basis: a psychological intervention (problem solving therapy versus supportive counselling) and an exercise intervention (behavioural exercise versus psychoeducation). Structured assessments occur at baseline, mid-point, end-point (6 weeks) and at a 6- and 12-month follow-up. The primary outcomes are depression and anxiety symptoms as measured by the Beck Depression and Anxiety Inventories. Secondary outcomes include remission (defined as no longer meeting the diagnostic criteria for a disorder if threshold level was reached at baseline, or no longer scoring in the clinical range on scale scores if sub-threshold at baseline), substance use, and functioning.</p> <p>Discussion</p> <p>The effectiveness of less complex psychological and exercise interventions in young help-seekers with sub-threshold or mild to moderate presentations of high prevalence disorders is yet to be explored. This study has been designed to examine the effectiveness of these interventions delivered alone, or in combination, in a youth-specific service. If effective, the interventions have the potential to prevent the progression of early symptoms and distress to later and potentially more serious stages of mental disorder and reduce the likelihood of ongoing problems associated with the risk of persistence and recurrence.</p> <p>Trial registration</p> <p>Australian New Zealand Clinical Trials Registry <a href="http://www.anzctr.org.au/ACTRN12608000550303.aspx">ACTRN12608000550303</a></p

A prototype software framework for transparent, reusable and updatable computational health economic models

Most health economic analyses are undertaken with the aid of computers. However, the ethical dimensions of implementing health economic models as software (or computational health economic models (CHEMs)) are poorly understood. We propose that developers and funders of CHEMs share ethical responsibilities to (i) establish socially acceptable user requirements and design specifications; (ii) ensure fitness for purpose; and (iii) support socially beneficial use. We further propose that a transparent (T), reusable (R) and updatable (U) CHEM is suggestive of a project team that has largely fulfilled these responsibilities. We propose six criteria for assessing CHEMs: (T1) software files are open access; (T2) project team contributions and judgments are easily identified; (R1) programming practices promote generalisability and transferability; (R2) licenses restrict only unethical reuse; (U1) maintenance infrastructure is in place; and (U2) new releases are systematically retested and appropriately deprecated. To facilitate CHEMs that meet TRU criteria, we have developed a prototype software framework in the open-source programming language R. The framework comprises six code libraries for authoring CHEMs, supplying CHEMs with data and undertaking analyses with CHEMs. The prototype software framework integrates with services for software development and research data archiving. We determine that an initial set of youth mental health CHEMs we developed with the prototype software framework wholly meet criteria T1-2, R1-2 and U1 and partially meet criterion U2. Our assessment criteria and prototype software framework can help inform and improve ethical implementation of CHEMs. Resource barriers to ethical CHEM practice should be addressed by research funders.Comment: 17 pages, 4 tables, 1 figur

Differential expression of the inflammation marker IL12p40 in the at-risk mental state for psychosis: a predictor of transition to psychotic disorder?

Background: The identification of biomarkers of transition from the at-risk mental state (ARMS) to psychotic disorder is important because early treatment of psychosis is associated with improved outcome. Increasing evidence points to an inflammatory contribution to psychosis. We questioned whether raised levels of plasma inflammatory markers predict transition from ARMS to psychotic disorder and whether any such predictors could be reduced by omega-3 (ω-3) polyunsaturated fatty acids (PUFAs). Methods: We measured the levels of 40 neuroinflammation biomarkers using a commercially available immunoassay kit. Firstly, we compared inflammatory markers in subjects in the ARMS who transitioned to psychotic disorder (n = 11) compared to subjects who did not (n = 28). Then we compared inflammatory markers in all subjects before and after ω-3 PUFA treatment (n = 40). Results: Our data provides preliminary evidence that elevations in the baseline plasma levels of the inflammatory marker IL12/IL23p40 are associated with transition from ARMS to psychotic disorder. IL12/IL23p40 levels did not change following 12 weeks administration of ω-3 PUFAs. These findings provide evidence that elevated plasma IL12/IL23p40 is a potential biomarker of increased risk for transition to psychotic disorder. Conclusion: Further studies are required to confirm and extend this finding. Our results do not provide support for the possibility that administration of ω-3 PUFAs act to reduced transition to psychotic disorder by reducing blood levels of IL12/IL23p40. Trial registration: ClinicalTrials.gov, a service of the U.S. National Institutes of Health, Identifier: NCT00396643, last updated December 20, 2007. Retrospectively registered

Heterogeneity of quality of life in young people attending primary mental health services

AIMS: The utility of quality of life (QoL) as an outcome measure in youth-specific primary mental health care settings has yet to be determined. We aimed to determine: (i) whether heterogeneity on individual items of a QoL measure could be used to identify distinct groups of help-seeking young people; and (ii) the validity of these groups based on having clinically meaningful differences in demographic and clinical characteristics. METHODS: Young people, at their first presentation to one of five primary mental health services, completed a range of questionnaires, including the Assessment of Quality of Life–6 dimensions adolescent version (AQoL-6D). Latent class analysis (LCA) and multivariate multinomial logistic regression were used to define classes based on AQoL-6D and determine demographic and clinical characteristics associated with class membership. RESULTS: 1107 young people (12–25 years) participated. Four groups were identified: (i) no-to-mild impairment in QoL; (ii) moderate impairment across dimensions but especially mental health and coping; (iii) moderate impairment across dimensions but especially on the pain dimension; and (iv) poor QoL across all dimensions along with a greater likelihood of complex and severe clinical presentations. Differences between groups were observed with respect to demographic and clinical features. CONCLUSIONS: Adding multi-attribute utility instruments such as the AQoL-6D to routine data collection in mental health services might generate insights into the care needs of young people beyond reducing psychological distress and promoting symptom recovery. In young people with impairments across all QoL dimensions, the need for a holistic and personalised approach to treatment and recovery is heightened