Basic symptoms and the prediction of first-episode psychosis

Schultze-Lutter, Frauke; Ruhrmann, Stephan; Fusar-Poli, Paolo; Bechdolf, Andreas; Schimmelmann, Benno G; Klosterkötter, Joachim (2012). Basic symptoms and the prediction of first-episode psychosis. Current pharmaceutical design, 18(4), pp. 351-7. Hilversum: Bentham Science Publishers 10.2174/138161212799316064

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Recent focus on early detection and intervention in psychosis has renewed interest in subtle psychopathology beyond positive and negative symptoms. Such self-experienced sub-clinical disturbances are described in detail by the basic symptom concept. This review will give an introduction into the concept of basic symptoms and describe the development of the current instruments for their assessment, the Schizophrenia Proneness Instrument, Adult (SPI-A) and Child and Youth version (SPI-CY), as well as of the two at-risk criteria: the at-risk criterion Cognitive-Perceptive Basic Symptoms (COPER) and the high-risk criterion Cognitive Disturbances (COGDIS). Further, an overview of prospective studies using both or either basic symptom criteria and transition rates related to these will be given, and the potential benefit of combining ultra-high risk criteria, particularly attenuated psychotic symptoms, and basic symptom criteria will be discussed. Finally, their prevalence in psychosis patients, i.e. the sensitivity, as well as in general population samples will be described. It is concluded that both COPER and COGDIS are able to identify subjects at a high risk of developing psychosis. Further, they appear to be sufficiently frequent prior to onset of the first psychotic episode as well as sufficiently rare in persons of general population to be considered as valuable for an early detection of psychosis.

Item Type:	Journal Article (Original Article)
Division/Institute:	04 Faculty of Medicine > University Psychiatric Services > University Hospital of Child and Adolescent Psychiatry and Psychotherapy
UniBE Contributor:	Schultze-Lutter, Frauke, Schimmelmann, Benno Karl Edgar
ISSN:	1381-6128
Publisher:	Bentham Science Publishers
Language:	English
Submitter:	Myriam Pyrlik
Date Deposited:	04 Oct 2013 14:36
Last Modified:	05 Dec 2022 14:11
Publisher DOI:	10.2174/138161212799316064
PubMed ID:	22239566
Web of Science ID:	000304315500004
URI:	https://boris.unibe.ch/id/eprint/14646 (FactScience: 221719)