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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.
Blum, Corinna; Baur, David; Achauer, Lars-Christian; Berens, Philipp; Biergans, Stephanie; Erb, Michael; Hömberg, Volker; Huang, Ziwei; Kohlbacher, Oliver; Liepert, Joachim; Lindig, Tobias; Lohmann, Gabriele; Macke, Jakob H; Römhild, Jörg; Rösinger-Hein, Christine; Zrenner, Brigitte; Ziemann, Ulf.
Afiliação
  • Blum C; Department for Neurology & Stroke, University Hospital of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
  • Baur D; Hertie Institute for Clinical Brain Research, Ottfried-Müller-Straße 25, 72076, Tübingen, Germany.
  • Achauer LC; Department for Neurology & Stroke, University Hospital of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
  • Berens P; Hertie Institute for Clinical Brain Research, Ottfried-Müller-Straße 25, 72076, Tübingen, Germany.
  • Biergans S; medical Data Integration Centre (meDIC), University Hospital of Tübingen, Schaffhausenstr. 77, 72072, Tübingen, Germany.
  • Erb M; University Hospital of Tübingen, Institute for Ophthalmic Research, Elfriede-Aulhorn-Str. 7, 72076, Tübingen, Germany.
  • Hömberg V; Cluster of Excellence Machine Learning, University of Tübingen, Maria-von-Linden-Str. 6, 72076, Tübingen, Germany.
  • Huang Z; medical Data Integration Centre (meDIC), University Hospital of Tübingen, Schaffhausenstr. 77, 72072, Tübingen, Germany.
  • Kohlbacher O; Department for Biomedical Magnetic Resonance, University Hospital of Tübingen, Ottfried-Müller-Str. 51, 72076, Tübingen, Germany.
  • Liepert J; Max Planck Institute for Biological Cybernetics, Max-Planck-Ring 8-14, 72076, Tübingen, Germany.
  • Lindig T; SRH Gesundheitszentrum Bad Wimpfen GmbH, Bei der alten Saline 2, 74206, Bad Wimpfen, Germany.
  • Lohmann G; University Hospital of Tübingen, Institute for Ophthalmic Research, Elfriede-Aulhorn-Str. 7, 72076, Tübingen, Germany.
  • Macke JH; medical Data Integration Centre (meDIC), University Hospital of Tübingen, Schaffhausenstr. 77, 72072, Tübingen, Germany.
  • Römhild J; University hospital of Tübingen, Institute for translational Bioinformation (TBI), Schaffhausenstr. 77, 72072, Tübingen, Germany.
  • Rösinger-Hein C; University of Tübingen, Interfaculty Institute for Biomedical Informatics (IBMI), Sand 14, 72076, Tübingen, Germany.
  • Zrenner B; Department of Computer Science, Applied Bioinformatics (ABI), University of Tübingen, Sand 14, 72076, Tübingen, Germany.
  • Ziemann U; Schmieder Clinic Allensbach, Zum Tafelholz 8, 78476, Allensbach, Germany.
BMC Neurol ; 22(1): 238, 2022 Jun 30.
Article em En | MEDLINE | ID: mdl-35773640
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.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / Reabilitação do Acidente Vascular Cerebral Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Neurol Assunto da revista: NEUROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / Reabilitação do Acidente Vascular Cerebral Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Neurol Assunto da revista: NEUROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha