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Dataset Information

Assessment of the Predictive Validity of Etiologic Stroke Classification.


ABSTRACT:

Importance

The ability of present-day etiologic stroke classification systems to generate subtypes with discrete stroke characteristics is not known.

Objective

To test the hypothesis that etiologic stroke subtyping identifies different disease processes that can be recognized through their different clinical courses.

Design, setting, and participants

We performed a head-to-head evaluation of the ability of the Causative Classification of Stroke (CCS), Trial of Org 10172 in Acute Stroke Treatment (TOAST), and ASCO (A for atherosclerosis, S for small-vessel disease, C for cardiac source, and O for other cause) classification systems to generate etiologic subtypes with different clinical, imaging, and prognostic characteristics in 1816 patients with ischemic stroke. This

SUBMITTER: Arsava EM 

PROVIDER: S-EPMC5470360 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature