Design and validation of a recognition instrument-the stroke aid for emergency scale-to predict large vessel occlusion stroke.

ABSTRACT:

Background and purpose

Rapidly recognizing patients with large-vessel occlusion stroke (LVOS) and transferring them to a center offering recanalization therapy is crucial of maximizing the benefits of early treatment. We therefore aimed to design an easy-to-use recognition instrument for identifying LVOS.

Methods

Prospective data were collected from emergency departments of 12 stroke-center hospitals in China during a 17-month study period. The Stroke Aid for Emergency (SAFE) scale is based on consciousness commands, facial palsy, gaze, and arm motor ability. Receiver operating characteristic analysis was used to obtain the area under the curve for the SAFE scale and previously established scales to predict LVOS.

Results

The SAFE scale could accurately predict LVOS at

SUBMITTER: Zhang B 

PROVIDER: S-EPMC8202851 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature