Individualized pretest risk estimates to guide treatment decisions in patients with clinical high risk for psychotic disorders
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Autor:in (Körperschaft)
Publikationsdatum
2024
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Spanish Journal of Psychiatry and Mental Health
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Elsevier
Verlagsort / Veranstaltungsort
Barcelona
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Introduction
Clinical high risk for psychosis (CHR) states are associated with an increased risk of transition to psychosis. However, the predictive value of CHR screening interviews is dependent on pretest risk enrichment in referred patients. This poses a major obstacle to CHR outreach campaigns since they invariably lead to risk dilution through enhanced awareness. A potential compensatory strategy is to use estimates of individual pretest risk as a ‘gatekeeper’ for specialized assessment. We aimed to test a risk stratification model previously developed in London, UK (OASIS) and to train a new predictive model for the Swiss population.
Method
The sample was composed of 513 individuals referred for CHR assessment from six Swiss early psychosis detection services. Sociodemographic variables available at referral were used as predictors whereas the outcome variable was transition to psychosis.
Results
Replication of the risk stratification model developed in OASIS resulted in poor performance (Harrel's c = 0.51). Retraining resulted in moderate discrimination (Harrel's c = 0.67) which significantly differentiated between different risk groups. The lowest risk group had a cumulative transition incidence of 6.4% (CI: 0–23.1%) over two years.
Conclusion
Failure to replicate the OASIS risk stratification model might reflect differences in the public health care systems and referral structures between Switzerland and London. Retraining resulted in a model with adequate discrimination performance. The developed model in combination with CHR assessment result, might be useful for identifying individuals with high pretest risk, who might benefit most from specialized intervention.
Schlagwörter
Fachgebiet (DDC)
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
2950-2861
2950-2853
2950-2853
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Fachlektorat/Editorial Review
Open Access-Status
Hybrid
Zitation
Sprüngli-Toffel, E., Studerus, E., Curtis, L., Conchon, C., Alameda, L., Bailey, B., Caron, C., Haase, C., Gros, J., Herbrecht, E., Huber, C. G., Riecher-Rössler, A., Conus, P., Solida, A., Armando, M., Kapsaridi, A., Ducommun, M. M., Klauser, P., Plessen, K. J., et al. (2024). Individualized pretest risk estimates to guide treatment decisions in patients with clinical high risk for psychotic disorders. Spanish Journal of Psychiatry and Mental Health. https://doi.org/10.1016/j.sjpmh.2024.09.001