Abstract
Background.
The PREP2 algorithm combines clinical and neurophysiological measures
to predict upper-limb (UL) motor outcomes 3 months poststroke, using 4
prediction categories based on Action Research Arm Test (ARAT) scores.
The algorithm was accurate at 3 months for 75% of participants in a
previous validation study.
Objective. This study aimed to
evaluate whether PREP2 predictions made at baseline are correct 2 years
poststroke. We also assessed whether patients’ UL performance remained
stable, improved, or worsened between 3 months and 2 years after stroke.
Methods. This is a follow-up study of 192 participants recruited
and assessed in the original PREP2 validation study. Participants who
completed assessments 3 months poststroke (n = 157) were invited to
complete follow-up assessments at 2 years poststroke for the present
study. UL outcomes were assessed with the ARAT, upper extremity
Fugl-Meyer Scale, and Motor Activity Log.
Results. A total of 86
participants completed 2-year follow-up assessments in this study. PREP2
predictions made at baseline were correct for 69/86 (80%) participants 2
years poststroke, and PREP2 UL outcome category was stable between 3
months and 2 years poststroke for 71/86 (83%). There was no difference
in age, stroke severity, or comorbidities among patients whose category
remained stable, improved, or deteriorated.
Conclusions. PREP2
algorithm predictions made within days of stroke are correct at both 3
months and 2 years poststroke for most patients. Further investigation
may be useful to identify which patients are likely to improve, remain
stable, or deteriorate between 3 months and 2 years.
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