biostudies-literatureHsu KCIntramural NIH HHS2https://www.ebi.ac.uk/biostudies/studies/S-EPMC8963213biostudies-literatureUnknown5<h4>Aim</h4>The ability to predict outcomes can help clinicians to better triage and treat stroke patients. We aimed to build prediction models using clinical data at admission and discharge to assess predictors highly relevant to stroke outcomes.<h4>Methods</h4>A total of 37,094 patients from the Taiwan Stroke Registry (TSR) were enrolled to ascertain clinical variables and predict their mRS outcomes at 90 days. The performances (i.e., the area under the curves (AUCs)) of these independent predictors identified by logistic regression (LR) based on clinical variables were compared.<h4>Results</h4>Several outcome prediction models based on different patient subgroups were evaluated, and their AUCs based on all clinical variables at admission and discharge were 0.85-0.88 and 0.92-0.96, respeVessel plusComparison of outcome prediction models post-stroke for a population-based registry with clinical variables collected at admission <i>vs</i>. discharge.PMC8963213ZID NS003101Tsai CHYeh PYFann YCChen PLHsu KCJohnson KRChang WLHsu CYLin CHWei CYfalseComparison of outcome prediction models post-stroke for a population-based registry with clinical variables collected at admission <i>vs</i>. discharge.<h4>Aim</h4>The ability to predict outcomes can help clinicians to better triage and treat stroke patients. We aimed to build prediction models using clinical data at admission and discharge to assess predictors highly relevant to stroke outcomes.<h4>Methods</h4>A total of 37,094 patients from the Taiwan Stroke Registry (TSR) were enrolled to ascertain clinical variables and predict their mRS outcomes at 90 days. The performances (i.e., the area under the curves (AUCs)) of these independent predictors identified by logistic regression (LR) based on clinical variables were compared.<h4>Results</h4>Several outcome prediction models based on different patient subgroups were evaluated, and their AUCs based on all clinical variables at admission and discharge were 0.85-0.88 and 0.92-0.96, respe2021-01-01T00:00:00Z20212025-04-05T14:43:04.006Z2025-04-05T14:43:04.006ZS-EPMC896321335356047