Evaluating and predicting outcome of acute cerebral vascular accident.

Dove, Henry G.; Schneider, Karen; Wallace, Jan D.

doi:10.1161/01.str.15.5.858

Cited by 26 publications

(4 citation statements)

References 27 publications

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“…Numerous clinical variables have been identified as potential predictors of clinical outcome. Initial severity of the neurologic deficit was consistently found to be an independent risk factor for outcome in most of the previous reports as in the current study (2, 11–20). Advanced age was another risk factor correlated with mortality and disability (2, 11–16).…”

Section: Discussionsupporting

confidence: 78%

Predictors of outcome after acute ischemic stroke*

Sümer

Ozdemir

Taşçılar

2003

Acta Neurologica Scandinavica

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Section: Discussionsupporting

confidence: 78%

Predictors of outcome after acute ischemic stroke*

Sümer

Ozdemir

Taşçılar

2003

Acta Neurologica Scandinavica

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“…[2][3][4][5][6][7][8][9][10][11][12][13] Age 2,4 -7,9 -12 and severity of presenting clinical deficit 2-4,6,7,10 -13 are consistently found to be predictive of outcome. Many other predictors have been reported to have a univariable relationship with outcome, but their multivariable relationship to outcome is less clear because of conflicting results in the literature.…”

mentioning

confidence: 99%

A Predictive Risk Model for Outcomes of Ischemic Stroke

Johnston

Connors

Wagner

et al. 2000

Stroke

174

155

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Background and Purpose-The great variability of outcome seen in stroke patients has led to an interest in identifying predictors of outcome. The combination of clinical and imaging variables as predictors of stroke outcome in a multivariable risk adjustment model may be more powerful than either alone. The purpose of this study was to determine the multivariable relationship between infarct volume, 6 clinical variables, and 3-month outcomes in ischemic stroke patients. Methods-Included in the study were 256 eligible patients from the Randomized Trial of Tirilazad Mesylate in Acute Stroke (RANTTAS). Six clinical variables and 1-week infarct volume were the prespecified predictor variables. The National Institutes of Health Stroke Scale, Barthel Index, and Glasgow Outcome Scale were the outcomes. Multivariable logistic regression techniques were used to develop the model equations, and bootstrap techniques were used for internal validation. Predictive performance of the models was assessed for discrimination with receiver operator characteristic (ROC) curves and for calibration with calibration curves. Results-The predictive models had areas under the ROC curve of 0.79 to 0.88 and demonstrated nearly ideal calibration curves. The areas under the ROC curves were statistically greater (PϽ0.001) with both clinical and imaging information combined than with either alone for predicting excellent recovery and death or severe disability. Conclusions-Combined

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“…Only a few studies included data from the first 6 hours after stroke onset, [12][13][14][15] and the findings are contradictory. 16,17 Many studies did not differentiate between hemorrhagic and ischemic stroke 2,18,19 or were retrospective. 17,20 Only a few attempts have been made to study the predictive value of imaging techniques for fatal ischemic brain edema.…”

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confidence: 99%