Journal article
Machine learning based prediction and the influence of complement – Coagulation pathway proteins on clinical outcome: Results from the NEURAPRO trial
SR Susai, D Mongan, C Healy, M Cannon, G Cagney, K Wynne, JF Byrne, C Markulev, MR Schäfer, M Berger, N Mossaheb, M Schlögelhofer, S Smesny, IB Hickie, GE Berger, EYH Chen, L de Haan, DH Nieman, M Nordentoft, A Riecher-Rössler Show all
Brain Behavior and Immunity | Published : 2022
Abstract
Background: Functional outcomes are important measures in the overall clinical course of psychosis and individuals at clinical high-risk (CHR), however, prediction of functional outcome remains difficult based on clinical information alone. In the first part of this study, we evaluated whether a combination of biological and clinical variables could predict future functional outcome in CHR individuals. The complement and coagulation pathways have previously been identified as being of relevance to the pathophysiology of psychosis and have been found to contribute to the prediction of clinical outcome in CHR participants. Hence, in the second part we extended the analysis to evaluate specific..
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Awarded by University College Dublin
Funding Acknowledgements
This work was supported by an Irish Health Research Board research grant to DC (HRB ILP POR 2019-005) . This publication has emanated from research supported by Health Research Board (HRB) [to 411 DC, MF] under grant number HRB/HRA/PHR/2015-1293. The research was funded in 412 part by a research grant from Science Foundation Ireland (SFI) under Grant Number 413 16/RC/3948 and co-funded under the European Regional Development Fund and by 414 Future Neuro industry partners. The immune marker study was supported by Orygen, Australia. 415 DM is a Fellow on the Irish Clinical Academic Training (ICAT) Programme which is supported 416 by the Wellcome Trust and the Health Research Board (Grant Number 203930/B/16/Z) , the 417 Health Service Executive National Doctors Training and Planning and the Health and Social 418 Care, Research and Development Division, Northern Ireland. JFB was supported by a Wellcome Flagship Innovations Award (220438Z/20/Z) . BN was supported by an NHMRC Senior Research Fellowship (1137687) and a University of Melbourne Dame Kate Campbell Fellowship. MB was supported by a MRFF RART Fellowship. Research reported in this publication was supported by The Comprehensive Molecular Analytical Platform (CMAP) under The SFI Research Infrastructure Programme, reference 18/RI/5702.