Conflict of interest: The authors have no disclosure.
Prediction of recanalization in acute stroke patients receiving intravenous and endovascular revascularization therapy
Article first published online: 30 JUN 2014
© 2014 World Stroke Organization
International Journal of Stroke
Volume 10, Issue 1, pages 28–36, January 2015
How to Cite
Zhu, G., Michel, P., Jovin, T., Patrie, J. T., Xin, W., Eskandari, A., Zhang, W. and Wintermark, M. (2015), Prediction of recanalization in acute stroke patients receiving intravenous and endovascular revascularization therapy. International Journal of Stroke, 10: 28–36. doi: 10.1111/ijs.12312
- Issue published online: 10 DEC 2014
- Article first published online: 30 JUN 2014
- Manuscript Accepted: 29 APR 2014
- Manuscript Received: 5 JAN 2014
Table S1. (a–d) Generalized estimating equation regression models for predicting the log-odds for vessel-level recanalization among patients who received IV tPA or no treatment (panels a), and among patients who received IA revascularization therapy (panels c). Vessel recanalization index values (VRI) that were used in the patient-level recanalization analyses were computed based on the regression coefficients of the reduced models that are presented in panels (b) and (d), respectively, for the IV or no treatment patient subgroup, and for the IA patient subgroup.
Table S2. (a, b) Added variable rankings for the IV and no treatment subgroup of patients (panel a), and added variable rankings for the IA revascularization subgroup of patients (panel b). Note that the order ranks were computed based subtracting the expect likelihood ratio chi-squared statistic (i.e. the model degrees of freedom) under the null hypothesis that no patient-level recanalization prediction information is provided by the model predictor variables from the model likelihood ratio chi-square statistic. Note that VRI was a common predictor in all models.
Table S3. (a, b). Logistic regression models for predicting the log-odds for patient-level recanalization among patients who received IV tPA or no treatment (panel a), and among patients who received IA revascularization therapy (panel b).
Appendix S1. The appendix describes the analytical details for step 1 and step 2 of the statistical modeling process (37–39).
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