Long-term trajectories of motor functional independence after ischemic stroke in young adults: Identification and characterization using inpatient baseline assessments

Author:

García-Rudolph Alejandro123ORCID,Saurí Joan123,Cegarra Blanca123,Madai Vince Istvan456,Frey Dietmar4,Kelleher John D.7,Cisek Katryna7,Opisso Eloy123,Tormos Josep María123,Bernabeu Montserrat123

Affiliation:

1. Department of Research and Innovation, Institut Guttmann, Institut Universitari de Neurorehabilitació Adscrit a la UAB, Badalona, Barcelona, Spain

2. Universitat Autònomade Barcelona, Bellaterra (Cerdanyola del Vallès), Spain

3. Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Barcelona, Spain

4. CLAIM Charité Lab for AI in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany

5. QUEST Center for Transforming Biomedical Research, Berlin Institute of Health (BIH), Charité – Universitätsmedizin Berlin, Berlin, Germany

6. School of Computing and Digital Technology, Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, United Kingdom

7. Information, Communication and Entertainment Research Institute, Technological University Dublin (TU Dublin), Dublin, Ireland

Abstract

BACKGROUND: Stroke is a major worldwide cause of serious long-term disability. Most previous studies addressing functional independence included only inpatients with limited follow-up. OBJECTIVE: To identify novel classes of patients having similar temporal patterns in motor functional independence and relate them to baseline clinical features. METHODS: Retrospective observational cohort study, data were obtained for n = 428 adult patients with ischemic stroke admitted to rehabilitation (March 2005–March 2020), including baseline clinical features and follow-ups of motor Functional Independence Measure (mFIM) categorized as poor, fair or good. Growth mixture models (GMMs) were fitted to identify classes of patients with similar mFIM trajectories. RESULTS: GMM identified three classes of trajectories (1,664 mFIM assessments): C1 (11.2 %), 97.9% having poor admission mFIM, at 4.93 years 61.1% still poor, with the largest percentage of hypertension, neglect, dysphagia, diabetes and dyslipidemia of all three classes. C2 (23.1%), 99% had poor admission mFIM, 25% poor discharge mFIM, the largest percentage of aphasia and greatest mFIM gain, at 4.93 years only 6.2% still poor. C3 (65.7%) the youngest, lowest NIHSS, 37.7% poor admission mFIM, 73% good discharge mFIM, only 4.6% poor discharge mFIM, 90% good at 4.93 years. CONCLUSIONS: GMM identified novel motor functional classes characterized by baseline features.

Publisher

IOS Press

Subject

Neurology (clinical),Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation

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