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Personalized neurorehabilitative precision medicine: from data to therapies (MWKNeuroReha) – a multi-centre prospective observational clinical trial to predict long-term outcome of patients with acute motor stroke

Authors :
Corinna Blum
David Baur
Lars-Christian Achauer
Philipp Berens
Stephanie Biergans
Michael Erb
Volker Hömberg
Ziwei Huang
Oliver Kohlbacher
Joachim Liepert
Tobias Lindig
Gabriele Lohmann
Jakob H. Macke
Jörg Römhild
Christine Rösinger-Hein
Brigitte Zrenner
Ulf Ziemann
Source :
BMC Neurology, Vol 22, Iss 1, Pp 1-15 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Background Stroke is one of the most frequent diseases, and half of the stroke survivors are left with permanent impairment. Prediction of individual outcome is still difficult. Many but not all patients with stroke improve by approximately 1.7 times the initial impairment, that has been termed proportional recovery rule. The present study aims at identifying factors predicting motor outcome after stroke more accurately than before, and observe associations of rehabilitation treatment with outcome. Methods The study is designed as a multi-centre prospective clinical observational trial. An extensive primary data set of clinical, neuroimaging, electrophysiological, and laboratory data will be collected within 96 h of stroke onset from patients with relevant upper extremity deficit, as indexed by a Fugl-Meyer-Upper Extremity (FM-UE) score ≤ 50. At least 200 patients will be recruited. Clinical scores will include the FM-UE score (range 0–66, unimpaired function is indicated by a score of 66), Action Research Arm Test, modified Rankin Scale, Barthel Index and Stroke-Specific Quality of Life Scale. Follow-up clinical scores and applied types and amount of rehabilitation treatment will be documented in the rehabilitation hospitals. Final follow-up clinical scoring will be performed 90 days after the stroke event. The primary endpoint is the change in FM-UE defined as 90 days FM-UE minus initial FM-UE, divided by initial FM-UE impairment. Changes in the other clinical scores serve as secondary endpoints. Machine learning methods will be employed to analyze the data and predict primary and secondary endpoints based on the primary data set and the different rehabilitation treatments. Discussion If successful, outcome and relation to rehabilitation treatment in patients with acute motor stroke will be predictable more reliably than currently possible, leading to personalized neurorehabilitation. An important regulatory aspect of this trial is the first-time implementation of systematic patient data transfer between emergency and rehabilitation hospitals, which are divided institutions in Germany. Trial registration This study was registered at ClinicalTrials.gov ( NCT04688970 ) on 30 December 2020.

Details

Language :
English
ISSN :
14712377
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.329fff83ad2c4d07a969b432fce5ab06
Document Type :
article
Full Text :
https://doi.org/10.1186/s12883-022-02759-2