Accuracy of the Upper Limb Prediction Algorithm PREP2 Applied 2 Weeks Poststroke: A Prospective Longitudinal Study.

Neurorehabilitation and Neural Repair
Camilla Biering LundquistIris Charlotte Brunner

Abstract

The Predict Recovery Potential algorithm (PREP2) was developed to predict upper limb (UL) function early after stroke. However, assessment in the acute phase is not always possible. To assess the prognostic accuracy of the PREP2 when applied in a subacute neurorehabilitation setting. This prospective longitudinal study included patients ≥18 years old with UL impairment following stroke. Patients were assessed in accordance with the PREP2 approach. However, 2 main components, the shoulder abduction finger extension (SAFE) score and motor-evoked potentials (MEPs) were obtained 2 weeks poststroke. UL function at 3 months was predicted in 1 of 4 categories and compared with the actual outcome at 3 months as assessed by the Action Research Arm Test. The prediction accuracy of the PREP2 was quantified using the correct classification rate (CCR). Ninety-one patients were included. Overall CCR of the PREP2 was 60% (95% CI 50%-71%). Within the 4 categories, CCR ranged from the lowest value at 33% (95% CI 4%-85%) for the category Limited to the highest value at 78% (95% CI 43%-95%) for the category Poor. In the present study, the overall CCR was significantly lower (P < .001) than the 75% reported by the PREP2 developers. The low overall...Continue Reading

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Citations

Oct 5, 2021·Stroke; a Journal of Cerebral Circulation·Harry T JordanCathy M Stinear
Aug 24, 2021·Archives of Physical Medicine and Rehabilitation·Jessica BarthCatherine E Lang

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Software Mentioned

LabVIEW
PREP2
CART
ARAT

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