2009
DOI: 10.1161/strokeaha.109.557645
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Categorizing Stroke Prognosis Using Different Stroke Scales

Abstract: Background and Purpose-Stroke severity and dependency are often categorized to allow stratification for randomization or analysis. However, there is uncertainty whether the categorizations used for different stroke scales are equivalent. We investigated the amount of information retained by categorizing severity and dependency, and whether the currently used cut-offs are equivalent across different stroke scales. Methods-Stroke severity and dependency have been categorized as mild, moderate, or severe. We stud… Show more

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Cited by 119 publications
(96 citation statements)
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“…There is excellent agreement between the mRS and Barthel Index scores for discrimination of the functional severity of stroke (weighted 0.85). 29 Analysis of our own data 11 shows that GOS score 1-3 has excellent agreement with mRS 4 -6 ( 0.87). Because there is evidence that age and previous disability may confound the relationship between pre-ICH APT and outcome, 4 we requested that authors contributing multivariate analyses adjusted for both age and premorbid disability, typically defined as mRS Ͼ1, if such data were available.…”
mentioning
confidence: 87%
“…There is excellent agreement between the mRS and Barthel Index scores for discrimination of the functional severity of stroke (weighted 0.85). 29 Analysis of our own data 11 shows that GOS score 1-3 has excellent agreement with mRS 4 -6 ( 0.87). Because there is evidence that age and previous disability may confound the relationship between pre-ICH APT and outcome, 4 we requested that authors contributing multivariate analyses adjusted for both age and premorbid disability, typically defined as mRS Ͼ1, if such data were available.…”
mentioning
confidence: 87%
“…4,9 -11 Finally, the BI has demonstrated excellent discriminative properties in organized inpatient trials. 12 Moreover, a number of prospective studies have shown that the severity of disability according to the BI recorded at 5 days poststroke, even when dichotomized, 13 shows a highly prognostic accuracy for death 13 or dependency as a final outcome. 1,[13][14][15] As a consequence, the BI has been recommended to be used for the development of predictive risk models to estimate final outcome for those patients who were lost in trials.…”
mentioning
confidence: 99%
“…Stroke severity was assessed using the Scandinavian Stroke Scale and categorized as very severe (0-14 points), severe (15-29 points), moderate (30-44 points), and mild (45-58 points). 16 From the Danish National Registry of Patients, to which all Danish nonpsychiatric hospitals must report every patient-hospital contact, we collected data concerning discharge diagnosis and comorbidity; the latter expressed using the Charlson Comorbidity Score Index, based on hospital contacts recorded within the last 10 years before admission. [17][18][19] …”
Section: Patient and Hospital Characteristicsmentioning
confidence: 99%