title: Prediction and prevention of psychosis: current progress and future tasks.
abstract: Prevention of psychoses has been intensively investigated within the past two decades, and particularly, prediction has been much advanced. Depending on the applied risk indicators, current criteria are associated with average, yet significantly heterogeneous transition rates of ≥30 % within 3 years, further increasing with longer follow-up periods. Risk stratification offers a promising approach to advance current prediction as it can help to reduce heterogeneity of transition rates and to identify subgroups with specific needs and response patterns, enabling a targeted intervention. It may also be suitable to improve risk enrichment. Current results suggest the future implementation of multi-step risk algorithms combining sensitive risk detection by cognitive basic symptoms (COGDIS) and ultra-high-risk (UHR) criteria with additional individual risk estimation by a prognostic index that relies on further predictors such as additional clinical indicators, functional impairment, neurocognitive deficits, and EEG and structural MRI abnormalities, but also considers resilience factors. Simply combining COGDIS and UHR criteria in a second step of risk stratification produced already a 4-year hazard rate of 0.66. With regard to prevention, two recent meta-analyses demonstrated that preventive measures enable a reduction in 12-month transition rates by 54-56 % with most favorable numbers needed to treat of 9-10. Unfortunately, psychosocial functioning, another important target of preventive efforts, did not improve. However, these results are based on a relatively small number of trials; and more methodologically sound studies and a stronger consideration of individual profiles of clinical needs by modular intervention programs are required.
authors.affiliation: Department of Psychiatry and Psychotherapy, University of Cologne, Kerpener Strasse 62, 50924, Cologne, Germany, stephan.ruhrmann@uk-koeln.de.
authors.forename: Stephan
authors.initials: S
authors.lastname: Ruhrmann
authors.forename: Frauke
authors.initials: F
authors.lastname: Schultze-Lutter
authors.forename: Stefanie J
authors.initials: SJ
authors.lastname: Schmidt
authors.forename: Nathalie
authors.initials: N
authors.lastname: Kaiser
authors.forename: Joachim
authors.initials: J
authors.lastname: Klosterkötter
mesh_terms: D035843:Biomedical Research / Q000379:methods* / Q000639:trends*; D006801:Humans; D011237:Predictive Value of Tests; D011618:Psychotic Disorders / Q000175:diagnosis* / Q000517:prevention & control*; D012306:Risk