Predicting functional recovery after stroke

Clinical prediction of a patient’s recovery is an important medical aim for stroke survivors.

A team including researchers from King’s College London developed and checked (validated) a tool that seems to accurately predict how well or poorly a patient will recover after their stroke. The team used data from the South London Stroke Register  to develop and check the tool. The tool could help clinicians to work out the likely recovery of a patient based on various factors such as their age, sex, level of disability and stroke subtype. They could use this information to provide more personalised care for patients.

The report on this study is published in the International Journal of Stroke as ‘Patient-specific prediction of functional recovery after stroke’. It was written by
Abdel Douiri, Justin Grace, Shah-Jalal Sarker, Kate Tilling, Christopher McKevitt, Charles DA Wolfe, and Anthony G Rudd. It may require a subscription or payment to view:  https://doi.org/10.1177/1747493017706241

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