Development and Validation of a Predictive Model for Functional Outcome After Stroke Rehabilitation | Zendy

Domenico Scrutinio | Zendy; Bernardo Lanzillo | Zendy; Pietro Guida | Zendy; Filippo Mastropasqua | Zendy; Vincenzo Monitillo | Zendy; Monica Pusineri | Zendy; Roberto Formica | Zendy; Giovanna Russo | Zendy; C. Guarnaschelli | Zendy; Chiara Ferretti | Zendy; Gianluigi Calabrese | Zendy

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Development and Validation of a Predictive Model for Functional Outcome After Stroke Rehabilitation

Author(s) -

Domenico Scrutinio,

Bernardo Lanzillo,

Pietro Guida,

Filippo Mastropasqua,

Vincenzo Monitillo,

Monica Pusineri,

Roberto Formica,

Giovanna Russo,

C. Guarnaschelli,

Chiara Ferretti,

Gianluigi Calabrese

Publication year - 2017

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.117.018058

Subject(s) - medicine , confidence interval , functional independence measure , rehabilitation , stroke (engine) , hazard ratio , logistic regression , physical therapy , cohort , physical medicine and rehabilitation , cohort study , mechanical engineering , engineering

Prediction of outcome after stroke rehabilitation may help clinicians in decision-making and planning rehabilitation care. We developed and validated a predictive tool to estimate the probability of achieving improvement in physical functioning (model 1) and a level of independence requiring no more than supervision (model 2) after stroke rehabilitation.

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