TY - JOUR
T1 - Detailed clinical phenotyping and generalisability in prognostic models of functioning in at-risk populations
AU - Rosen, Marlene
AU - Betz, Linda T.
AU - Kaiser, Natalie
AU - Penzel, Nora
AU - Dwyer, Dominic
AU - Lichtenstein, Theresa K.
AU - Schultze-Lutter, Frauke
AU - Kambeitz-Ilankovic, Lana
AU - Bertolino, Alessandro
AU - Borgwardt, Stefan
AU - Brambilla, Paolo
AU - Lencer, Rebekka
AU - Meisenzahl, Eva
AU - Pantelis, Christos
AU - Salokangas, Raimo K.R.
AU - Upthegrove, Rachel
AU - Wood, Stephen
AU - Ruhrmann, Stephan
AU - Koutsouleris, Nikolaos
AU - Kambeitz, Joseph
N1 - Publisher Copyright:
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists.
PY - 2022/6/16
Y1 - 2022/6/16
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85131155600&partnerID=8YFLogxK
U2 - 10.1192/bjp.2021.141
DO - 10.1192/bjp.2021.141
M3 - Journal articles
C2 - 35049486
AN - SCOPUS:85131155600
SN - 0007-1250
VL - 220
SP - 318
EP - 321
JO - British Journal of Psychiatry
JF - British Journal of Psychiatry
IS - 6
ER -
