Factors predicting stroke disability at discharge: a study of 793 Chinese.
OBJECTIVE
To identify factors predicting stroke disability at discharge in a Chinese population.


METHODS
Retrospective analysis of data collected from stroke patients.


METHODS
A 25-bed stroke rehabilitation unit in Hong Kong.


METHODS
A total of 793 Chinese patients with acute stroke consecutively admitted for inpatient rehabilitation.


METHODS
All patients received traditional rehabilitation therapies including physical, occupational, and speech therapies when appropriate.


METHODS
Disability was measured with the Barthel index (BI), and mild disability at discharge was defined as a BI score of > or =15. Odds ratios (ORs) and 95% confidence intervals (CIs) were computed.


RESULTS
Logistic regression analysis revealed that a BI score of > or = 15 points at admission strongly predicted that the patient's BI at discharge would be > or =15. For those whose BI score at admission was less than 15, these factors correlated negatively with a discharge BI of 15: BI at admission of <5 (OR .08, CI .04-.17); National Institutes of Health stroke scale at admission of >7 (OR .23, CI .12-.43); urinary incontinence at admission (OR .35, CI .21-.60); age > or =65 years (OR .44, CI .25-.77); and abbreviated mental test at admission of <7 (OR .56, CI .33-.94).


CONCLUSIONS
For Chinese stroke patients, the disability at admission is the most important predictor for disability at discharge. Patients with very severe disability, severe neurologic impairment, urinary incontinence, old age, and impaired cognition at admission are less likely to recover to mild disability at discharge. Although hemorrhagic stroke is more common among Chinese populations, it is not an independent predictor for disability at discharge.
Sze
K H
KH
Medical and Geriatric Department, Shatin Hospital, Hong Kong, People's Republic of China.
Wong
E
E
Or
K H
KH
Lum
C M
CM
Woo
J
J
D000368:Aged; D002681:China / Q000453:epidemiology; D004185:Disability Evaluation; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012372:ROC Curve; D012189:Retrospective Studies; D012307:Risk Factors; D020521:Stroke / Q000208:ethnology; D000071939:Stroke Rehabilitation