Detailed clinical phenotyping and generalisability in prognostic models of functioning in at-risk populations

Rosen, Marlene; Betz, Linda T.; Kaiser, Natalie; Penzel, Nora; Dwyer, Dominic; Lichtenstein, Theresa K.; Schultze-Lutter, Frauke; Kambeitz-Ilankovic, Lana; Bertolino, Alessandro; Borgwardt, Stefan; Brambilla, Paolo; Lencer, Rebekka; Meisenzahl, Eva; Pantelis, Christos; Salokangas, Raimo K. R.; Upthegrove, Rachel; Wood, Stephen; Ruhrmann, Stephan; Koutsouleris, Nikolaos und Kambeitz, Joseph (2021): Detailed clinical phenotyping and generalisability in prognostic models of functioning in at-risk populations. In: British Journal of Psychiatry, Bd. 220, Nr. 6, PII S0007125021001410: S. 318-321

Abstract

Personalised prediction of functional outcomes is a promising approach for targeted early intervention in psychiatry. However, generalisability and resource efficiency of such prognostic models represent challenges. In the PRONIA study (German Clinical Trials Register: DRKS00005042), we demonstrate excellent generalisability of prognostic models in individuals at clinical high-risk for psychosis or with recent-onset depression, and substantial contributions of detailed clinical phenotyping, particularly to the prediction of role functioning. These results indicate that it is possible that functioning prediction models based only on clinical data could be effectively applied in diverse healthcare settings, so that neuroimaging data may not be needed at early assessment stages.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 0007-1250
• Sprache: Englisch