| Autor: |
Selles, Ruud W., Andrinopoulou, Eleni-Rosalina, Nijland, Rinske H., van der Vliet, Rick, Slaman, Jorrit, van Wegen, Erwin E. H., Rizopoulos, Dimitris, Ribbers, Gerard M., Meskers, Carel GM, Kwakkel, Gert, van Wegen, Erwin Eh |
| Předmět: |
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| Zdroj: |
Journal of Neurology, Neurosurgery & Psychiatry; Jun2021, Vol. 92 Issue 6, p574-581, 8p |
| Abstrakt: |
Introduction: Predicting upper limb capacity recovery is important to set treatment goals, select therapies and plan discharge. We introduce a prediction model of the patient-specific profile of upper limb capacity recovery up to 6 months poststroke by incorporating all serially assessed clinical information from patients.Methods: Model input was recovery profile of 450 patients with a first-ever ischaemic hemispheric stroke measured using the Action Research Arm Test (ARAT). Subjects received at least three assessment sessions, starting within the first week until 6 months poststroke. We developed mixed-effects models that are able to deal with one or multiple measurements per subject, measured at non-fixed time points. The prediction accuracy of the different models was established by a fivefold cross-validation procedure.Results: A model with only ARAT time course, finger extension and shoulder abduction performed as good as models with more covariates. For the final model, cross-validation prediction errors at 6 months poststroke decreased as the number of measurements per subject increased, from a median error of 8.4 points on the ARAT (Q1-Q3:1.7-28.1) when one measurement early poststroke was used, to 2.3 (Q1-Q3:1-7.2) for seven measurements. An online version of the recovery model was developed that can be linked to data acquisition environments.Conclusion: Our innovative dynamic model can predict real-time, patient-specific upper limb capacity recovery profiles up to 6 months poststroke. The model can use all available serially assessed data in a flexible way, creating a prediction at any desired moment poststroke, stand-alone or linked with an electronic health record system. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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