Abstract 13: Improved Ischemic Stroke Outcome Prediction Using Model Estimation Of Outcome Probability: The THRIVE-c Calculator
| العنوان: | Abstract 13: Improved Ischemic Stroke Outcome Prediction Using Model Estimation Of Outcome Probability: The THRIVE-c Calculator |
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| المؤلفون: | Alexander Flint, Vivek Rao, Sheila Chan, Sean Cullen, Bonnie Faigeles, Wade Smith, Philip Bath, Nils Wahlgren, Niaz Ahmed, Geoff Donnan, Clay Johnston |
| المصدر: | Stroke. 46 |
| بيانات النشر: | Ovid Technologies (Wolters Kluwer Health), 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | Advanced and Specialized Nursing, Neurology (clinical), Cardiology and Cardiovascular Medicine |
| الوصف: | Introduction: The THRIVE score is a validated ischemic stroke outcome prediction tool. While simplified systems like the THRIVE score facilitate ease-of-use, when computers or devices are available at the point of care, a more accurate estimation of outcome probability is possible by computing the logistic equation with patient-specific continuous variables. Methods: We used data from 12,207 subjects from the Virtual International Stroke Trials Archive (VISTA) and the Safe Implementation of Thrombolysis in Stroke - Monitoring Study (SITS-MOST) study to develop and validate the performance of a model-derived estimation of outcome probability, the THRIVE-c calculation. Models were built with logistic regression using the underlying predictors from the THRIVE score: age, NIH Stroke Scale (NIHSS) score, and the Chronic Disease Scale (presence of hypertension, diabetes mellitus, or atrial fibrillation). Receiver-Operator Characteristics (ROC) analysis was used to assess model performance and compare the THRIVE-c model to the traditional THRIVE score. Results: The THRIVE-c model performed similarly in the randomly chosen development cohort (n=6194, AUC = 0.786, 95% CI 0.774-0.798) and validation cohort (n=6013, AUC = 0.784, 95% CI 0.772-0.796) (P=0.79). The THRIVE-c model (AUC = 0.785, 95% CI 0.777-0.793) had superior performance when compared to the traditional THRIVE score (AUC = 0.746, 95% CI 0.737-0.755), (P Conclusion: By computing the logistic equation with patient-specific continuous variables in the THRIVE-c calculation, patient outcomes are more accurately estimated. Given the widespread availability of the computers and devices at the point of care, such calculations can be easily performed with a simple user interface. A web calculator for THRIVE-c is available at www.thrivescore.org. |
| تدمد: | 1524-4628 0039-2499 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::65c7373a3daef5081f47a8cb2494a11a https://doi.org/10.1161/str.46.suppl_1.13 |
| رقم الأكسشن: | edsair.doi...........65c7373a3daef5081f47a8cb2494a11a |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15244628 00392499 |
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