The PREP2 algorithm makes one of four predictions for upper limb functional outcomes after stroke. This document provides written information about each prediction for the clinical team, and the patient and their family. This information can be used to focus rehabilitation goals appropriately, and to manage patient and family expectations
Stroke is a leading cause of long-term disability worldwide. Despite robust spontaneous biological r...
Prediction of post-stroke functional outcomes is crucial for allocating medical resources. In this s...
The online version of this article, along with updated information and services, is located on th
Background. The PREP2 algorithm combines clinical and neurophysiological measures to predict upper-l...
Background and Purpose— Several clinical measures and biomarkers are associated with motor recovery...
Background Predicting motor recovery after stroke is a key factor when planning and providing rehab...
One of the leading causes of long-term disability in adults is stroke. Stroke occurs due to disrupti...
Objective To explore how physiotherapists (PTs) and occupational therapists (OTs) perceive upper lim...
BACKGROUND: There is growing interest in using biomarkers to predict motor recovery and outcomes af...
AbstractBeing able to predict an individual's potential for recovery of motor function after stroke ...
Early and accurate prediction of recovery is needed to assist treatment planning and inform patient ...
Contains fulltext : 40151_predanmou.pdf (publisher's version ) (Open Access)Stroke...
Introduction Predicting upper limb capacity recovery is important to set treatment goals, select the...
Introduction Predicting upper limb capacity recovery is important to set treatment goals, select the...
Background. Early prediction of outcome after stroke is becoming increasingly important, as most pat...
Stroke is a leading cause of long-term disability worldwide. Despite robust spontaneous biological r...
Prediction of post-stroke functional outcomes is crucial for allocating medical resources. In this s...
The online version of this article, along with updated information and services, is located on th
Background. The PREP2 algorithm combines clinical and neurophysiological measures to predict upper-l...
Background and Purpose— Several clinical measures and biomarkers are associated with motor recovery...
Background Predicting motor recovery after stroke is a key factor when planning and providing rehab...
One of the leading causes of long-term disability in adults is stroke. Stroke occurs due to disrupti...
Objective To explore how physiotherapists (PTs) and occupational therapists (OTs) perceive upper lim...
BACKGROUND: There is growing interest in using biomarkers to predict motor recovery and outcomes af...
AbstractBeing able to predict an individual's potential for recovery of motor function after stroke ...
Early and accurate prediction of recovery is needed to assist treatment planning and inform patient ...
Contains fulltext : 40151_predanmou.pdf (publisher's version ) (Open Access)Stroke...
Introduction Predicting upper limb capacity recovery is important to set treatment goals, select the...
Introduction Predicting upper limb capacity recovery is important to set treatment goals, select the...
Background. Early prediction of outcome after stroke is becoming increasingly important, as most pat...
Stroke is a leading cause of long-term disability worldwide. Despite robust spontaneous biological r...
Prediction of post-stroke functional outcomes is crucial for allocating medical resources. In this s...
The online version of this article, along with updated information and services, is located on th