Copenhagen prodromal study III : Long term stability of self-disorders

Introduction Detailed knowledge on prognostic predictors and illness trajectories of many mental disorders, especially schizophrenia spectrum disorders, is needed towards implementation of more personalized treatment. A potential candidate to predict prognosis and illness trajectories is self-disorders. Self-disorders are non-psychotic symptoms that seem to be present years prior to illness onset and to persist after remission from psychotic episodes. Self-disorders describe a fundamental disturbance of consciousness and can be assessed with the Examination of Anomalous Self-Experiences (EASE) scale. We know from previous studies that self-disorders are non-psychotic symptoms central to schizophrenia spectrum disorders. Objectives The purpose of this study is to examine if self-disorders are related to clinical and functional outcome as well as illness trajectories and life courses. We will test if high levels of self-disorders at baseline predict worse outcome in terms of psychopathology, social function, recovery, more malign illness trajectories and life courses for the individual patient. Additionally, we will examine if self-disorders remain stable over a period of 25 years. Methods This ongoing study is a 25-year follow-up study of a cohort of 151 first-admission patients, comprising 51 patients with schizophrenia, 50 patients with schizotypal disorder, and 50 patients with other mental disorders (including bipolar disorder, major depression, anxiety, and personality disorder). This cohort is the oldest and largest sample in the world that has been assessed for self-disorders. By combining psychosocial and psychopathological history as well as psycho-diagnostic assessments and tests at follow-up examination, with information from the Danish registers, we will obtain as complete a picture as possible of the patients and their illness trajectories and life courses. This will not only be at the point in time of the follow-up, but throughout the last 25 years and gain further knowledge about self-disorders over time. For assessments of psychopathology we will use semi-structured interview using EASE as well using OPCRIT, PANSS, GAF-S and parts of the Bonn Scale for psycho-diagnostic. Social functioning will be measured using the Personal and Social Performance scale (PSP) and GAF-F. Results Ongoing study, results are pending. Conclusions Ongoing study. Disclosure of Interest None Declared

Authors

Institutions

Publication Details

Journal
European Psychiatry
Published
2025-04-01
DOI
https://doi.org/10.1192/j.eurpsy.2025.717
Primary Topic
Genetic Neurodegenerative Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Copenhagen prodromal study III : Long term stability of self-disorders

Mads Gram Henriksen, Julie Nordgaard, S. Ørsted
European Psychiatry
Genetic Neurodegenerative Diseases
article

Copenhagen prodromal study III : Long term stability of self-disorders

Mads Gram Henriksen, Julie Nordgaard, S. Ørsted
article en

Abstract

Introduction Detailed knowledge on prognostic predictors and illness trajectories of many mental disorders, especially schizophrenia spectrum disorders, is needed towards implementation of more personalized treatment. A potential candidate to predict prognosis and illness trajectories is self-disorders. Self-disorders are non-psychotic symptoms that seem to be present years prior to illness onset and to persist after remission from psychotic episodes. Self-disorders describe a fundamental disturbance of consciousness and can be assessed with the Examination of Anomalous Self-Experiences (EASE) scale. We know from previous studies that self-disorders are non-psychotic symptoms central to schizophrenia spectrum disorders. Objectives The purpose of this study is to examine if self-disorders are related to clinical and functional outcome as well as illness trajectories and life courses. We will test if high levels of self-disorders at baseline predict worse outcome in terms of psychopathology, social function, recovery, more malign illness trajectories and life courses for the individual patient. Additionally, we will examine if self-disorders remain stable over a period of 25 years. Methods This ongoing study is a 25-year follow-up study of a cohort of 151 first-admission patients, comprising 51 patients with schizophrenia, 50 patients with schizotypal disorder, and 50 patients with other mental disorders (including bipolar disorder, major depression, anxiety, and personality disorder). This cohort is the oldest and largest sample in the world that has been assessed for self-disorders. By combining psychosocial and psychopathological history as well as psycho-diagnostic assessments and tests at follow-up examination, with information from the Danish registers, we will obtain as complete a picture as possible of the patients and their illness trajectories and life courses. This will not only be at the point in time of the follow-up, but throughout the last 25 years and gain further knowledge about self-disorders over time. For assessments of psychopathology we will use semi-structured interview using EASE as well using OPCRIT, PANSS, GAF-S and parts of the Bonn Scale for psycho-diagnostic. Social functioning will be measured using the Personal and Social Performance scale (PSP) and GAF-F. Results Ongoing study, results are pending. Conclusions Ongoing study. Disclosure of Interest None Declared

European PsychiatryVol. 68(S1)
University of Copenhagen (DK), Amager Hospital (DK)
Openalex Percentile: Top 74%
Genetic Neurodegenerative Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.