The psychometric validity of the Montgomery–Åsberg Depression Rating Scale (MADRS) in recent onset schizophrenia spectrum disorders

2021 ◽  
Vol 228 ◽  
pp. 373-381
Author(s):  
Sarah E. Herniman ◽  
Sue M. Cotton ◽  
Kelly A. Allott ◽  
Lisa J. Phillips ◽  
Stephen J. Wood ◽  
...  
Keyword(s):  
Rating Scale ◽  
Schizophrenia Spectrum Disorders ◽  
Recent Onset ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders ◽  
Psychometric Validity

Awareness of illness moderates self-assessment of psychotic symptoms

2021 ◽  
pp. 000486742110574
Author(s):  
Luis Martinez Agulleiro ◽  
Renato de Filippis ◽  
Stella Rosson ◽  
Bhagyashree Patil ◽  
Lara Prizgint ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Confidence Interval ◽  
Rating Scale ◽  
Psychotic Symptoms ◽  
Schizophrenia Spectrum Disorders ◽  
Brief Psychiatric Rating Scale ◽  
Schizophrenia Spectrum ◽  
Psychiatric Rating ◽  
Spectrum Disorders ◽  
Psychiatric Rating Scale

Objective: Self-reports or patient-reported outcome measures are seldom used in psychosis due to concerns about the ability of patients to accurately report their symptomatology, particularly in cases of low awareness of illness. The aim of this study was to assess the effect of insight on the accuracy of self-reported psychotic symptoms using a computerized adaptive testing tool (CAT-Psychosis). Methods: A secondary analysis of data drawn from the CAT-Psychosis development and validation study was performed. The Brief Psychiatric Rating Scale and the Scale of Unawareness of Mental Disorders were administered by clinicians. Patients completed the self-reported version of the CAT-Psychosis. Patients were median-split regarding their insight level to compare the correlation between the two psychosis severity measures. A subgroup sensitivity analysis was performed only on patients with schizophrenia spectrum disorders. Results: A total of 159 patients with a psychotic disorder who completed both CAT-Psychosis and Scale of Unawareness of Mental Disorders were included. For the whole sample, CAT-Psychosis scores showed convergent validity with Brief Psychiatric Rating Scale ratings ( r = 0.517, 95% confidence interval = [0.392, 0.622], p < 0.001). Insight was found to moderate this correlation (β = –0.511, p = 0.005), yet agreement between both measures remained statistically significant for both high ( r = 0.621, 95% confidence interval = [0.476, 0.733], p < 0.001) and low insight patients ( r = 0.408, 95% confidence interval = [0.187, 0.589], p < 0.001), while psychosis severity was comparable between these groups (for Brief Psychiatric Rating Scale: U = 3057, z = –0.129, p = 0.897; disorganization: U = 2986.5, z = –0.274, p = 0.784 and for CAT-Psychosis: U = 2800.5, z = –1.022, p = 0.307). Subgroup of patients with schizophrenia spectrum disorders showed very similar results. Conclusions: Insight moderates the correlation between self-reported and clinician-rated severity of psychosis, yet CAT-Psychosis remains valid in patients with both high and low awareness of illness.

Increased prevalence of ECG suspicious for Brugada Syndrome in recent onset schizophrenia spectrum disorders

2019 ◽  
Vol 210 ◽  
pp. 59-65 ◽  
Author(s):  
Arjen L. Sutterland ◽  
Marieke T. Blom ◽  
Katinka Ladee ◽  
Jorieke J.M. Lubbers ◽  
Dan Cohen ◽  
...  
Keyword(s):  
Brugada Syndrome ◽  
Schizophrenia Spectrum Disorders ◽  
Recent Onset ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders

scholarly journals Social motivation in people with recent-onset schizophrenia spectrum disorders

2018 ◽  
Vol 99 ◽  
pp. 96-103 ◽  
Author(s):  
Timothy R. Campellone ◽  
Brandy Truong ◽  
David Gard ◽  
Danielle A. Schlosser
Keyword(s):  
Social Motivation ◽  
Schizophrenia Spectrum Disorders ◽  
Recent Onset ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders

scholarly journals Impact of social anxiety on social cognition and functioning in patients with recent-onset schizophrenia spectrum disorders

2013 ◽  
Vol 145 (1-3) ◽  
pp. 75-81 ◽  
Author(s):  
Amélie M. Achim ◽  
Rosalie Ouellet ◽  
Marie-Audrey Lavoie ◽  
Chantal Vallières ◽  
Philip L. Jackson ◽  
...  
Keyword(s):  
Social Cognition ◽  
Social Anxiety ◽  
Schizophrenia Spectrum Disorders ◽  
Recent Onset ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders

scholarly journals Eye Movements and Cognitive Functioning in Patients With Schizophrenia Spectrum Disorders: Network Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Alexander Shmukler ◽  
Alexander V. Latanov ◽  
Maria Karyakina ◽  
Victor N. Anisimov ◽  
Marina A. Churikova ◽  
...  
Keyword(s):  
Eye Movements ◽  
Network Analysis ◽  
Cognitive Functioning ◽  
Rating Scale ◽  
Central Element ◽  
Depression Scale ◽  
Schizophrenia Spectrum Disorders ◽  
Young Mania ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders

Background: Eye movement parameters are often used during cognitive functioning assessments of patients with psychotic spectrum disorders. It is interesting to compare these oculomotor parameters with cognitive functions, as assessed using psychometric cognitive tests. A network analysis is preferable for understanding complex systems; therefore, the aim of this study was to determine the multidimensional relationships that exist between oculomotor reactions and neurocognition in patients with schizophrenia spectrum disorders.Materials and Methods: A total of 134 subjects (93 inpatients with schizophrenia spectrum disorders (ICD-10) and 41 healthy volunteers) participated in this study. Psychiatric symptom severity was assessed using the Positive and Negative Syndrome Scale, the Calgary Depression Scale for Schizophrenia, and the Young Mania Rating Scale. Extrapyramidal symptoms were assessed using the Simpson-Angus Scale, and akathisia was assessed using the Barnes Akathisia Rating Scale. Eye movements were recorded using an eye-tracker SMI RED 500, and cognitive function was assessed using the Brief Assessment of Cognition in Schizophrenia. The statistical analyses were conducted using Minitab 17 Statistical Software, version 17.2.1. Data visualization and additional analyses were performed in the R 4.0.3 environment, using RStudio V 1.3.1093 software.Results: A network model of neurocognitive and oculomotor functions was constructed for the patients. In the full network (which includes all correlations) the median antisaccade latency value is the central element of the oculomotor domain, and the Symbol Coding test, the Digit Sequencing test, and the Verbal Fluency test are central elements in the neurocognitive domain. Additionally, there were connections between other cognitive and oculomotor functions, except for the antisaccade error latency in the oculomotor domain and the Token Motor Task in the neurocognitive domain.Conclusion: Network analysis provides measurable criteria for the assessment of neurophysiological and neurocognitive abnormalities in patients with schizophrenic spectrum disorders and allows to select key targets for their management and cognitive remediation.

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