title: Prediction of upper limb recovery in the acute phase of cerebrovascular disease: evaluation of "functional hand" using the manual function test.
abstract: BACKGROUND
  Prediction of upper limb function recovery in the acute phase of cerebrovascular disease can help clarify goal setting in rehabilitation and subsequently shorten hospital stay. The present study aimed to develop regression equations that can be used to predict the Manual Function Test (MFT) score 3 weeks after onset and to determine the optimal cutoff MFT score for the identification of "Functional Hand."
  
  
  METHODS
  In all, 190 patients with cerebrovascular disease were included in this study. The baseline survey performed within 1 week after onset assessed sociodemographic profiles, medical profiles, and acute symptoms. MFT was performed to determine the cutoff score to indicate Functional Hand. We used stepwise multiple regression analysis to establish the prediction equations with the best fit for the MFT score 3 weeks after onset. In addition, the sensitivity and specificity of the MFT as an indicator of Functional Hand with cutoff values were determined.
  
  
  RESULTS
  The multiple regression analysis showed that the following factors had a significant influence on the MFT: Brunnstrom recovery stage, cognitive function, range of motion, age, and sensation. The area under the curve was .93 for the MFT score as an indicator of Functional Hand. The cutoff MFT score to identify Functional Hand was 22/21 points, with a sensitivity and specificity of 91.1% and 82.1%, respectively.
  
  
  CONCLUSIONS
  Our findings helped develop regression equations that can be used to predict the MFT score 3 weeks after onset of cerebrovascular disease by evaluating factors reportedly associated with upper limb function recovery.
authors: Department of Rehabilitation, Faculty of Health Science, Tohoku Fukushi University, Sendai, Japan. Electronic address: sone-t@umin.ac.jp.
authors: Toshimasa
authors: T
authors: Sone
authors: Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
authors: Naoki
authors: N
authors: Nakaya
authors: Department of Rehabilitation, Faculty of Health Science, Tohoku Fukushi University, Sendai, Japan.
authors: Kazuaki
authors: K
authors: Iokawa
authors: Department of Rehabilitation, Takeda General Hospital, Aizuwakamatsu, Japan.
authors: Keiichi
authors: K
authors: Hasegawa
authors: Department of Rehabilitation, Takeda General Hospital, Aizuwakamatsu, Japan.
authors: Tetsu
authors: T
authors: Tsukada
authors: Department of Rehabilitation, Takeda General Hospital, Aizuwakamatsu, Japan.
authors: Mariko
authors: M
authors: Kaneda
authors: Department of Occupational Therapy, School of Health and Social Services, Saitama Prefectural University, Koshigaya, Japan.
authors: Toyohiro
authors: T
authors: Hamaguchi
authors: Department of Rehabilitation, Faculty of Health Science, Tohoku Fukushi University, Sendai, Japan.
authors: Kenji
authors: K
authors: Suzuki
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002561:Cerebrovascular Disorders / Q000175:diagnosis / Q000503:physiopathology* / Q000534:rehabilitation*; D005260:Female; D006225:Hand / Q000503:physiopathology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011597:Psychomotor Performance; D012372:ROC Curve; D020127:Recovery of Function / Q000502:physiology*; D012044:Regression Analysis; D016896:Treatment Outcome; D034941:Upper Extremity / Q000503:physiopathology*
keywords: Cerebrovascular disease; functional recovery; prediction statistics; rehabilitation; upper limb function