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Dataset Information

Prediction of Outcome Using Quantified Blood Volume in Aneurysmal SAH.


ABSTRACT:

Background and purpose

In patients with SAH, the amount of blood is strongly associated with clinical outcome. However, it is commonly estimated with a coarse grading scale, potentially limiting its predictive value. Therefore, we aimed to develop and externally validate prediction models for clinical outcome, including quantified blood volumes, as candidate predictors.

Materials and methods

Clinical and radiologic candidate predictors were included in a logistic regression model. Unfavorable outcome was defined as a modified Rankin Scale score of 4-6. An automatic hemorrhage-quantification algorithm calculated the total blood volume. Blood was manually classified as cisternal, intraventricular, or intraparenchymal. The model was selected with bootstrapped backward selection

SUBMITTER: van der Steen WE 

PROVIDER: S-EPMC7342737 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature