Recognition and management of depression in early psychosis

Characteristics of symptoms and development of psychological status in late Chinese adolescence

BACKGROUND

Many late adolescents experience a state of psychological sub-health, requiring early recognition and intervention. This study aims to assess the psychological state of late Chinese adolescents and uncover developmental trend of mental health through network analysis.

METHOD

We analyzed data from 9072 Chinese high school adolescents in Shandong Province surveyed in 2020-2021, and divided them into the normal, the suspected, and the abnormal groups based on Symptom Checklist 90 (SCL-90) scores. Network analysis was employed to identify the core symptoms and bridge symptoms across different states.

RESULTS

Anxiety and depression were the most central symptoms, without gender differences. Core symptoms, network structure, and network invulnerability varied across different psychological states. The abnormal group exhibited the highest value of natural connectivity, followed by the suspected and normal groups. This pattern extended to bridge networks. While not meeting diagnostic criteria, the suspected group demonstrated abnormalities in network edge invariance and global strength invariance.

LIMITATIONS

The cross-sectional design cannot establish causality, and biases in self-report measurements cannot be ignored.

CONCLUSION

Compared to traditional scale indicators, network structural characteristics may be a more sensitive assessment indicator.

Self-reported suicidal ideation among individuals with first episode psychosis and healthy controls: Findings from the international multicentre EU-GEI study

INTRODUCTION

Suicidal ideation is common among individuals with first episode psychosis (FEP), with prevalence estimates up to 56.5 %. Despite its high prevalence, relatively little is known about how sociodemographic, clinical and/or developmental characteristics contribute to the experience of suicidal ideation in individuals with FEP.

METHODS

In this cross-sectional study (FEP n = 551 and controls n = 857), univariate logistic regression analyses were performed to study the associations of sociodemographic, clinical, and developmental factors with suicidal ideation in individuals with FEP as well as controls. Suicidal ideation was assessed using the Community Assessment of Psychic Experiences (CAPE). In addition, multivariate logistic regression analyses were conducted based on a stepwise approach.

RESULTS

In FEP, only depressive symptoms remained significantly associated with suicidal ideation when all correlates were integrated into one model. In the multivariate model in controls, depressive symptoms, positive symptoms, and traumatic childhood experiences were significantly associated with suicidal ideation.

CONCLUSIONS

This study showed that depressive symptoms are an important factor relating to suicidal ideation in individuals with FEP, over and above other clinical, sociodemographic, and developmental factors. This underscores the relevance of screening for suicidal ideation in individuals with FEP, and highlights the need for a better understanding of the diagnostic uncertainty and course of mood symptoms in early psychosis.

LIMITATIONS

Cross-sectional study design, self-reported questionnaires.

[Juvenile depression as at-risk state for psychotic disorders]

OBJECTIVE

To establish the risk of psychotic disorders in juvenile depression and to study the role of negative symptoms in its formation.

MATERIAL AND METHODS

Seventy-four in-patients (19.6±2.3 years old), who were hospitalized for the first time in the clinic for a depressive episode, were examined. Psychometric scales HDRS, SOPS, SANS were used. The risk of manifestation of psychotic disorders was established in the presence of attenuated positive symptoms (APS) with values of at least one of the points P1, P2, P3 and P4 of the corresponding SOPS subscale more or equal to 3. The overall risk of schizophrenia spectrum disorders was established in the presence of attenuated negative symptoms (ANS) with values of at least one of the points H1-H6 of the negative SOPS subscale is more than or equal to 5. Statistical analysis was carried out using the Statistica 12 program.

RESULTS

During the psychometric assessment of patients at admission, four groups were identified based on the presence of APS and ANS: group 1 (APS+ANS), group 2 (APS), group 3 (ANS) and a comparison group without APS/ANS. It was found that the presence of APS and ANS in the structure of depression increased its severity (U=109.0; p=0.009). Assessment of the ANS severity on the negative subscale of SOPS and on the SANS demonstrated quantitative differences with the highest representation of negative symptoms in the corresponding groups (APS+ANS and ANS) with significant differences in total scores in the comparison group (U=93.0; p=0.004 and U=85.0; p=0.002). When studying the structure of negative symptoms according to the SANS subscales, patients with APS differed in a lower degree of severity of negative symptoms only according to the «Avolition-Apathy» subscale (U=141.5; p=0.028). Patients from the comparison group, despite significant differences in other psychopathological symptoms, showed lower values only for the SANS subscales «Affective flattening» (U=112.0; p=0.02) and, to a greater extent, «Avolition-Apathy» (U=84.0; p=0.002).

CONCLUSION

Based on the presence of prodromal symptoms in the structure of juvenile depression and their dynamics during therapy, one can assume not only a different degree of risk of endogenous psychoses, but also their nosological affiliation.

Heterogeneity in treatment outcomes and incomplete recovery in first episode psychosis: does one size fit all?

The heterogeneity in recovery outcomes for individuals with First Episode Psychosis (FEP) calls for a strong evidence base to inform practice at an individual level. Between 19-89% of young people with FEP have an incomplete recovery despite gold-standard evidence-based treatments, suggesting current service models, which adopt a 'one-size fits all' approach, may not be addressing the needs of many young people with psychosis. The lack of consistent terminology to define key concepts such as recovery and treatment resistance, the multidimensional nature of these concepts, and common comorbid symptoms are some of the challenges faced by the field in delineating heterogeneity in recovery outcomes. The lack of robust markers for incomplete recovery also results in potential delay in delivering prompt, and effective treatments to individuals at greatest risk. There is a clear need to adopt a stratified approach to care where interventions are targeted at subgroups of patients, and ultimately at the individual level. Novel machine learning, using large, representative data from a range of modalities, may aid in the parsing of heterogeneity, and provide greater precision and sophistication in identifying those on a pathway to incomplete recovery.