title: Prediction of upper limb recovery, general disability, and rehabilitation status by activity measurements assessed by accelerometers or the Fugl-Meyer score in acute stroke.
abstract: OBJECTIVE
  This study investigated the clinical predictive value of the Fugl-Meyer Assessment (FMA) arm score and the upper limb activity assessed by accelerometers in patients with hemiparesis after acute stroke.
  
  
  METHODS
  The prospective cohort (n = 129) was recruited from a general hospital; activity variables and FMA score at intake were related to the FMA, the modified Rankin Scale, and rehabilitation status after 3 mos of follow-up. The prediction model was based on binary logistic regression.
  
  
  RESULTS
  Although the FMA score at intake has the best overall predictive value for all three outcome measures (FMA3, 87.6%; modified Rankin Scale, 85.3%; RS, 73.6%), the activity of the impaired arm as assessed by the accelerometer has the best predictive value to determine patients who are at risk for continued disability (modified Rankin Scale score 1, 95.1%). The most difficult outcome measure for prediction is the rehabilitation status; specifically, the patients who went home are predicted imprecisely. The ratio variable is the least accurate predictor of all tested variables.
  
  
  CONCLUSIONS
  The FMA arm score at intake is the best predictor for arm recovery and general disability. The activity of the impaired arm is an excellent predictor for prolonged disability and is an alternative to the FMA score when it is impossible to score the FMA in the acute phase of stroke.
authors.affiliation: From the Department of Health Care Sciences, ARTESIS University College of Antwerp, Antwerp, Belgium (NG, ST, PPDD); Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim, Antwerp, Belgium (SE); Laboratory of Neurochemistry and Behaviour, Institute Born-Bunge (SE, PPDD), and Department of Rehabilitation Sciences and Physiotherapy, Faculty of Medicine and Health Sciences (NG, ST), University of Antwerp, Antwerp, Belgium; and Department of Neurology and Alzheimer Research Center, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands (PPDD).
authors.forename: Nick
authors.initials: N
authors.lastname: Gebruers
authors.forename: Steven
authors.initials: S
authors.lastname: Truijen
authors.forename: Sebastiaan
authors.initials: S
authors.lastname: Engelborghs
authors.forename: Peter P
authors.initials: PP
authors.lastname: De Deyn
mesh_terms: D061725:Accelerometry / Q000379:methods*; D000203:Activities of Daily Living; D000368:Aged; D015331:Cohort Studies; D004185:Disability Evaluation; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000379:methods; D009043:Motor Activity / Q000502:physiology*; D010291:Paresis / Q000175:diagnosis / Q000534:rehabilitation*; D011237:Predictive Value of Tests; D011446:Prospective Studies; D020127:Recovery of Function; D012307:Risk Factors; D020521:Stroke / Q000175:diagnosis; D000071939:Stroke Rehabilitation; D013997:Time Factors; D016896:Treatment Outcome; D034941:Upper Extremity / Q000503:physiopathology*