{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ay H"],"funding":["NINDS NIH HHS"],"pagination":["128-35"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC2809031"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["74(2)"],"pubmed_abstract":["<h4>Background</h4>There is currently no instrument to stratify patients presenting with ischemic stroke according to early risk of recurrent stroke. We sought to develop a comprehensive prognostic score to predict 90-day risk of recurrent stroke.<h4>Methods</h4>We analyzed data on 1,458 consecutive ischemic stroke patients using a Cox regression model with time to recurrent stroke as the response and clinical and imaging features typically available to physician at admission as covariates. The 90-day risk of recurrent stroke was calculated by summing up the number of independent predictors weighted by their corresponding beta-coefficients. The resultant score was called recurrence risk estimator at 90 days or RRE-90 score (available at: http://www.nmr.mgh.harvard.edu/RRE-90/).<h4>Results</h4>Sixty recurrent strokes (54 had baseline imaging) occurred during the follow-up period. The risk adjusted for time to follow-up was 6.0%. Predictors of recurrence included admission etiologic stroke subtype, prior history of TIA/stroke, and topography, age, and distribution of brain infarcts. The RRE-90 score demonstrated adequate calibration and good discrimination (area under the ROC curve [AUC] = 0.70-0.80), which was maintained when applied to a separate cohort of 433 patients (AUC = 0.70-0.76). The model's performance was also maintained for predicting early (14-day) risk of recurrence (AUC = 0.80).<h4>Conclusions</h4>The RRE-90 is a Web-based, easy-to-use prognostic score that integrates clinical and imaging information available in the acute setting to quantify early risk of recurrent stroke. The RRE-90 demonstrates good predictive performance, suggesting that, if validated externally, it has promise for use in creating individualized patient management algorithms and improving clinical practice in acute stroke care."],"journal":["Neurology"],"pubmed_title":["A score to predict early risk of recurrence after ischemic stroke."],"pmcid":["PMC2809031"],"funding_grant_id":["R01 NS059710","R01 NS059710-01A2"],"pubmed_authors":["Rosand J","Benner T","Sorensen AG","Schwamm LH","Koroshetz WJ","Gungor L","Vangel M","Arsava EM","Furie KL","Ay H"],"additional_accession":[]},"is_claimable":false,"name":"A score to predict early risk of recurrence after ischemic stroke.","description":"<h4>Background</h4>There is currently no instrument to stratify patients presenting with ischemic stroke according to early risk of recurrent stroke. We sought to develop a comprehensive prognostic score to predict 90-day risk of recurrent stroke.<h4>Methods</h4>We analyzed data on 1,458 consecutive ischemic stroke patients using a Cox regression model with time to recurrent stroke as the response and clinical and imaging features typically available to physician at admission as covariates. The 90-day risk of recurrent stroke was calculated by summing up the number of independent predictors weighted by their corresponding beta-coefficients. The resultant score was called recurrence risk estimator at 90 days or RRE-90 score (available at: http://www.nmr.mgh.harvard.edu/RRE-90/).<h4>Results</h4>Sixty recurrent strokes (54 had baseline imaging) occurred during the follow-up period. The risk adjusted for time to follow-up was 6.0%. Predictors of recurrence included admission etiologic stroke subtype, prior history of TIA/stroke, and topography, age, and distribution of brain infarcts. The RRE-90 score demonstrated adequate calibration and good discrimination (area under the ROC curve [AUC] = 0.70-0.80), which was maintained when applied to a separate cohort of 433 patients (AUC = 0.70-0.76). The model's performance was also maintained for predicting early (14-day) risk of recurrence (AUC = 0.80).<h4>Conclusions</h4>The RRE-90 is a Web-based, easy-to-use prognostic score that integrates clinical and imaging information available in the acute setting to quantify early risk of recurrent stroke. The RRE-90 demonstrates good predictive performance, suggesting that, if validated externally, it has promise for use in creating individualized patient management algorithms and improving clinical practice in acute stroke care.","dates":{"release":"2010-01-01T00:00:00Z","publication":"2010 Jan","modification":"2021-02-20T23:56:25Z","creation":"2019-03-27T00:28:03Z"},"accession":"S-EPMC2809031","cross_references":{"pubmed":["20018608"],"doi":["10.1212/wnl.0b013e3181ca9cff","10.1212/WNL.0b013e3181ca9cff"]}}