22. European Stroke Conference 81 Stroke prognosis Outcome prediction in acute stroke patients considered for endovascular treatment: a novel tool R. Grech1, P.L. Galvin2, S. Power3, A. O’Hare4, S. Looby5, P. Brennan6, J. Thornton7 Beaumont Hospital, Dublin, IRELAND1, Beaumont Hospital, Dublin, IRELAND2, Beaumont Hospital, Dublin, IRELAND3, Beaumont Hospital, Dublin, IRELAND4, Beaumont Hospital, Dub-lin, IRELAND5, Beaumont Hospital, Dublin, IRELAND6, Beaumont Hospital, Dublin, IRELAND5 BACKGROUND Functional outcome following emergent intra-arterial thrombectomy is variable and likely reflects the heterogenous characteristics of acute stroke patients. The aims of our study were (1) to establish which pre-treatment variables correlate with functional outcome and (2) to devise a tool which would reliably predict outcome. METHODS Prospective data of patients treated with intra-arterial mechanical thrombectomy in our institution between 2010 and 2012 was collected. Outcome was measured at 30 days post-procedure using the modified Rankin score (mRS). A preliminary univariate analysis was performed and data outliers were identified by constructing scatter and box plots. Systematic bivariate analysis using SPSSTM was then performed to evaluate the correlation of base-line variables with outcome. The significant variables were analysed using a linear regression model and the individual contributing weights to outcome calculated. The B and constant values from the regression were used to construct a predictive formula. RESULTS 57 patients, 34 males (59.6%) and 23 females (40.4%) with a mean age of 62.1 (range 26 - 87 years) were included in the cohort. 27 patients had a good functional outcome (mRS 0-2) at 30 days while 30 patients had a poor outcome (mRS 3-6). Statistical correlations of baseline variables with func-tional outcome are summarized in table 1. Age, NIHSS at presentation and CT leptomeningeal col-laterals proved to be strongly correlated (p<0.01), and were included in the linear regression model. A tool was devised from the regression formula combining weighted inputs of the three variables. Regression statistics and residual analysis were performed and are summarized in table 2. CONCLUSION The proposed tool is easy to use and reliably predicts functional outcome prior to endovascular ther-apy. It may help clinical decision-making in the acute setting and offers ‘tailor-made’ outcome ex-pectations for individual patients during the consent procedure. 322 © 2013 S. Karger AG, Basel Scientific Programme
Karger_ESC London_2013
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