Factor structure of the positive and negative syndrome scale (PANSS) in people at ultra high risk (UHR) for psychosis

Clinical presentation of first episode psychosis in people with and without HIV in KwaZulu-Natal, South Africa

AIM

Mental disorders and HIV are the main contributors to the increase in years lived with disability rates per person in sub-Saharan Africa. A complex inter-relationship exists between HIV and mental illness, especially in a region with a high HIV prevalence. We examined the duration of untreated psychosis (DUP), and the nature of psychotic and cognitive symptoms in people with first episode psychosis (FEP) living with and without HIV.

METHODS

Adults aged between 18 and 45 years were assessed using a clinical interview, physical examination and several psychiatric tools. These included the Mini International Neuro-psychiatric Interview to confirm psychosis, Positive and Negative Syndrome Scale, International HIV Dementia Scale and other scales to measure symptom variables. HIV ELISA was used for HIV serology testing, with measures being carried out within 6 weeks of the first presentation.

RESULTS

Of the 172 people presenting with FEP, 36 (21%) had comorbid HIV, those with both being older and more likely to be female (p < .001). Clinically, participants with FEP and HIV scored lower on the positive subscale (p = .008). There were no statistically significant differences for DUP or cognitive screening. Of those living with HIV and FEP (n = 36) comorbidity, nine were newly diagnosed with HIV at the time of the study.

CONCLUSION

Individuals presenting with FEP and comorbid HIV were older, female and reported more mood symptoms. The identification of nine new HIV infections also reflects the ongoing need to test for HIV in people presenting with severe mental illness.

Longitudinal evaluation on negative symptoms in young people at Ultra-High Risk (UHR) of psychosis: results from a 2-year follow-up study in a real-world care setting

Negative Symptoms (NS) severely affect real-world functioning also in young people at UHR for developing psychosis. However, longitudinal research on beneficial effects of specialized treatments for NS in UHR people is still relatively scarce and inconclusive, especially in real-world care settings. The aims of the present research were: (1) to evaluate the longitudinal stability of NS levels in young UHR subjects treated within a specialized "Early Intervention in Psychosis" (EIP) program across a 2-year follow-up period, and (2) to investigate any relevant association of NS changes with the specific treatment components offered within the EIP program. One hundred UHR individuals (aged 12-25 years) completed the Positive And Negative Syndrome Scale (PANSS). A multiple linear regression analysis was conducted to examine significant associations between longitudinal changes in NS severity levels and the EIP treatment components. Across the follow-up, a significant decrease in NS clinical severity was observed. This reduction was associated with the intensity of individual psychotherapy sessions provided in the first year of treatment, a shorter duration of untreated illness at entry and the 2-year longitudinal decrease in positive symptom levels. In conclusion, NS are relevant in UHR people, but decrease over time together with the delivery of specialized EIP interventions. Specifically, our results showed that individual psychotherapy may reduce the clinical severity of NS at least during the first year of treatment.

Identifying psychiatric manifestations in schizophrenia and depression from audio-visual behavioural indicators through a machine-learning approach

Schizophrenia (SCZ) and depression (MDD) are two chronic mental disorders that seriously affect the quality of life of millions of people worldwide. We aim to develop machine-learning methods with objective linguistic, speech, facial, and motor behavioral cues to reliably predict the severity of psychopathology or cognitive function, and distinguish diagnosis groups. We collected and analyzed the speech, facial expressions, and body movement recordings of 228 participants (103 SCZ, 50 MDD, and 75 healthy controls) from two separate studies. We created an ensemble machine-learning pipeline and achieved a balanced accuracy of 75.3% for classifying the total score of negative symptoms, 75.6% for the composite score of cognitive deficits, and 73.6% for the total score of general psychiatric symptoms in the mixed sample containing all three diagnostic groups. The proposed system is also able to differentiate between MDD and SCZ with a balanced accuracy of 84.7% and differentiate patients with SCZ or MDD from healthy controls with a balanced accuracy of 82.3%. These results suggest that machine-learning models leveraging audio-visual characteristics can help diagnose, assess, and monitor patients with schizophrenia and depression.

Relationship between neurocognition and theory of mind as a function of symptomatic profile in schizophrenia: results from the national FACE-SZ cohort

INTRODUCTION

Deficits in theory of mind (ToM) can vary depending on the predominant schizophrenia symptoms, and though most neurocognitive functions are involved in ToM, all may not be associated with the same symptoms. With consideration to the relationships between symptoms, neurocognition and ToM, the aim of the present study is to identify the neurocognitive functions influencing ToM capacities according to symptomatic profile.

METHODS

The study is based on a sample of 124 adults with schizophrenia from a French national cohort. Patients were divided into two groups according to their scores on the five Wallwork factors of the Positive and Negative Syndrome Scale using hierarchical clustering before carrying out multivariable analyses.

RESULTS

The "disorganised group" (n = 89) showed high scores on the disorganised factor, and had a ToM associated with reasoning, visual recognition and speed of processing. The "positive group" (n = 35) showed high scores on the positive and depressive factors, and had a ToM associated with working memory.

CONCLUSIONS

These results suggest that neurocognitive predictors of ToM in schizophrenia are different according to the predominant clinical dimension, thus refining our knowledge of the relationship between symptoms, neurocognition and ToM, and acknowledging their status as important predictors of patients' functional status.

Large-scale evaluation of the Positive and Negative Syndrome Scale (PANSS) symptom architecture in schizophrenia

Although the Positive and Negative Syndrome Scale (PANSS) is widely utilized in schizophrenia research, variability in specific item loading exist, hindering reproducibility and generalizability of findings across schizophrenia samples. We aim to establish a common PANSS factor structure from a large multi-ethnic sample and validate it against a meta-analysis of existing PANSS models. Schizophrenia participants (N = 3511) included in the current study were part of the Singapore Translational and Clinical Research Program (STCRP) and the Clinical Antipsychotic Trials for Intervention Effectiveness (CATIE). Exploratory Factor Analysis (EFA) was conducted to identify the factor structure of PANSS and validated with a meta-analysis (N = 16,171) of existing PANSS models. Temporal stability of the PANSS model and generalizability to individuals at ultra-high risk (UHR) of psychosis were evaluated. A five-factor solution best fit the PANSS data. These were the i) Positive, ii) Negative, iii) Cognitive/disorganization, iv) Depression/anxiety and v) Hostility factors. Convergence of PANSS symptom architecture between EFA model and meta-analysis was observed. Modest longitudinal reliability was observed. The schizophrenia derived PANSS factor model fit the UHR population, but not vice versa. We found that two other domains, Social Amotivation (SA) and Diminished Expression (DE), were nested within the negative symptoms factor. Here, we report one of the largest transethnic factorial structures of PANSS symptom domains (N = 19,682). Evidence reported here serves as crucial consolidation of a common PANSS structure that could aid in furthering our understanding of schizophrenia.

General psychopathology links burden of recent life events and psychotic symptoms in a network approach

Recent life events have been implicated in the onset and progression of psychosis. However, psychological processes that account for the association are yet to be fully understood. Using a network approach, we aimed to identify pathways linking recent life events and symptoms observed in psychosis. Based on previous literature, we hypothesized that general symptoms would mediate between recent life events and psychotic symptoms. We analyzed baseline data of patients at clinical high risk for psychosis and with recent-onset psychosis (n = 547) from the Personalised Prognostic Tools for Early Psychosis Management (PRONIA) study. In a network analysis, we modeled links between the burden of recent life events and all individual symptoms of the Positive and Negative Syndrome Scale before and after controlling for childhood trauma. To investigate the longitudinal associations between burden of recent life events and symptoms, we analyzed multiwave panel data from seven timepoints up to month 18. Corroborating our hypothesis, burden of recent life events was connected to positive and negative symptoms through general psychopathology, specifically depression, guilt feelings, anxiety and tension, even after controlling for childhood trauma. Longitudinal modeling indicated that on average, burden of recent life events preceded general psychopathology in the individual. In line with the theory of an affective pathway to psychosis, recent life events may lead to psychotic symptoms via heightened emotional distress. Life events may be one driving force of unspecific, general psychopathology described as characteristic of early phases of the psychosis spectrum, offering promising avenues for interventions.

Genetic liability in individuals at ultra-high risk of psychosis: A comparison study of 9 psychiatric traits

Individuals at ultra-high risk (UHR) of psychosis are characterised by the emergence of attenuated psychotic symptoms and deterioration in functioning. In view of the high non-psychotic comorbidity and low rates of transition to psychosis, the specificity of the UHR status has been called into question. This study aims to (i) investigate if the UHR construct is associated with the genetic liability of schizophrenia or other psychiatric conditions; (ii) examine the ability of polygenic risk scores (PRS) to discriminate healthy controls from UHR, remission and conversion status. PRS was calculated for 210 youths (nUHR = 102, nControl = 108) recruited as part of the Longitudinal Youth at Risk Study (LYRIKS) using nine psychiatric traits derived from twelve large-scale psychiatric genome-wide association studies as discovery datasets. PRS was also examined to discriminate UHR-Healthy control status, and healthy controls from UHR remission and conversion status. Result indicated that schizophrenia PRS appears to best index the genetic liability of UHR, while trend level associations were observed for depression and cross-disorder PRS. Schizophrenia PRS discriminated healthy controls from UHR (R2 = 7.9%, p = 2.59 x 10-3, OR = 1.82), healthy controls from non-remitters (R2 = 8.1%, p = 4.90 x 10-4, OR = 1.90), and converters (R2 = 7.6%, p = 1.61 x 10-3, OR = 1.82), with modest predictive ability. A trend gradient increase in schizophrenia PRS was observed across categories. The association between schizophrenia PRS and UHR status supports the hypothesis that the schizophrenia polygenic liability indexes the risk for developing psychosis.

Negative symptom configuration within and outside schizophrenia spectrum disorders: results from the "Parma Early Psychosis" program

The identification of discrete dimensions underlining negative symptoms in First Episode Psychosis (FEP) may be useful in the treatment strategy for such severe symptomatology. Aim of this research was to investigate the negative symptom configuration in FEP patients and to compare the emerging factor solutions between individuals with and without Schizophrenia Spectrum Disorders (non-SSD vs SSD). Two-hundred-seventy-four participants (144 non-SSD and 130 SSD), aged 13-35 years, completed the Positive and Negative Syndrome Scale (PANSS) and the Global Assessment of Functioning (GAF). Confirmatory and exploratory factor analyses were then performed to examine PANSS negative symptom configuration in both SSD and non-SSD samples. In SSD, a 3-factor model solution (i.e. "Experiential Deficits", "Volition/Empathy Deficits" and "Motor/Affective Expression Deficits" domains) was identified. A different 2-factor configuration (with "Social/Communicative Withdrawal" and "Motor/Affective/Motivational Deficits" dimensions) was more appropriate in non-SSD. In conclusion, our results show differences in negative symptom factor models between non-SSD and SSD. Thus, a different specificity and significance of negative symptom solutions in FEP populations with diagnoses other than schizophrenia (compared to those with SSD) must be realistically considered.

Brain changes associated with negative symptoms in clinical high risk for psychosis: A systematic review

The negative symptoms of schizophrenia are linked to poorer functional outcomes and decreases in quality of life, and are often the first to develop in individuals who are at clinical high risk (CHR) for psychosis. However, the accompanying neurobiological changes are poorly understood. Therefore, we conducted a systematic review of the studies that have examined the brain metrics associated with negative symptoms in those at CHR. Electronic databases were searched from inception to August 2019. Studies were selected if they mentioned negative symptoms in youth at CHR for psychosis, and brain imaging. Of 261 citations, 43 studies with 2144 CHR participants met inclusion criteria. Too few studies were focused on the same brain regions using similar neuroimaging methods to perform a meta-analysis, however, the results of this systematic review suggest a relationship between negative symptom increases and decreases in grey matter. The paucity of studies linking changes in brain structure and function with negative symptoms in those at CHR suggests that future work should focus on examining these relationships.

Subjective quality of life among patients with schizophrenia spectrum disorder and patients with major depressive disorder

BACKGROUND

The goal of clinicians and healthcare workers providing treatment to patients with psychiatric disorders, has shifted over time from focusing on the symptoms alone towards functional improvement. In this study, we aimed to compare the subjective quality of life (QoL) among patients with schizophrenia spectrum disorders and major depressive disorder (MDD).

METHODS

QoL scores were collected using 36-item Short Form Survey Instrument. QoL scores were compared between 203 outpatients with schizophrenia spectrum disorders and 185 outpatients with MDD using analysis of covariance. The Positive and Negative Syndrome Scale was administered to assess the severity of psychiatric symptoms among patients with schizophrenia and Personal Health Questionnaire-8 items was utilized to assess the severity of depressive symptoms among patients with MDD. The correlation coefficient (r) of socio-demographic factors and core psychiatric symptoms with QoL were analyzed using multiple linear regression.

RESULTS

As compared to patients with MDD, patients with schizophrenia reported better health scores in all QoL subdomains, except for physical function (PF). Among patients with schizophrenia, old age was correlated with better mental health (MH, r = 0.35) and PF (r = 0.37). Compared to those of Chinese ethnicity, those of Malay, Indian and other ethnicity were correlated with worse PF (r = - 0.43 for Malays; r = - 0.30 for Indians and r = - 0.34 for other ethnicities). Longer duration of mental illness was correlated with worse MH (r = - 0.30), worse PF (r = - 0.38) and worse scores on role limitations due to physical health problems (RP, r = - 0.30). Among patients with MDD, older age was correlated with worse PF (r = - 0.33) and patients without comorbid physical illness reported less bodily pain (r = 0.45) and better general health (r = 0.34). Moreover, all psychiatric symptoms among patients with schizophrenia were negatively correlated with QoL, but the strength of the correlation was less than that between depressive symptoms and QoL among patients with MDD.

CONCLUSION

Patients with schizophrenia generally reported better QoL as compared to patients with MDD. The correlates of QoL differed between patients with schizophrenia and patients with MDD. This study adds to the understanding of QoL among patients with mental illnesses and may aid in better management of these patients with different psychiatric diagnoses.