Reduction of disability after stroke is a more informative predictor of long-time survival than initial disability status. 2007

Shin-Liang Pan, and Shwu-Chong Wu, and Ti-Kai Lee, and Tony Hsiu-Hsi Chen
Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taipei.

OBJECTIVE Few studies have evaluated the roles of reducing disability after stroke in predicting survival. This study aimed to investigate the effects of improvement in the Barthel Index (BI) and other prognostic factors on survival in patients with first-time noncardioembolic ischemic stroke. METHODS BI effectiveness was defined as the improvement of BI between initial stroke (within 3 days) and 2 months after stroke. Cox regression analysis and Kaplan-Meier methods were used to evaluate the predictive roles of various prognostic factors. RESULTS A total of 111 patients were enrolled. Mean age at the time of stroke was 68 (+ or - 11.2) years. Median follow-up time was 77.4 months. Mean initial BI was 36.1 (+ or - 28.5) and mean BI effectiveness was 46.9 + or - 29.0. Overall, 55 deaths (49.5%) of the cohort were ascertained. The BI effectiveness had significant effects on long-time survival while initial BI was not a significant predictor. Higher BI effectiveness led to lower risk of mortality (hazard ratio = 0.44, 95% CI 0.24 - 0.80, p = 0.007). Elder age was correlated with poor survival (overall p = 0.006). Subjects in the eldest age group (> or = 70 years) showed a significant elevated risk for death (hazard ratio = 3.42, 95% CI 1.18 - 9.92). There was a trend indicating that the smaller the lesion size, the more favourable the prognosis (overall p = 0.057). CONCLUSIONS BI effectiveness in the first 2 months after first-time noncardioembolic stroke was more informative than initial disability status for predicting long-time mortality. It highlights the potential benefit in maximizing functional performance in patients with stroke.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D005260 Female Females
D006304 Health Status The level of health of the individual, group, or population as subjectively assessed by the individual or by more objective measures. General Health,General Health Level,General Health Status,Level of Health,Overall Health,Overall Health Status,General Health Levels,Health Level,Health Level, General,Health Levels,Health Status, General,Health Status, Overall,Health, General,Health, Overall,Level, General Health,Levels, General Health,Status, General Health,Status, Health,Status, Overall Health
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000071939 Stroke Rehabilitation Restoration of functions to the maximum degree possible in a person or persons suffering from a stroke. Rehabilitation, Stroke
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D015999 Multivariate Analysis A set of techniques used when variation in several variables are studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables. Analysis, Multivariate,Multivariate Analyses

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