A Novel Computerized Clinical Decision Support System for Treating Thrombolysis in Patients with Acute Ischemic Stroke.

ABSTRACT:

Background and purpose

Thrombolysis is underused in acute ischemic stroke, mainly due to the reluctance of physicians to treat thrombolysis patients. However, a computerized clinical decision support system can help physicians to develop individualized stroke treatments.

Methods

A consecutive series of 958 patients, hospitalized within 12 hours of ischemic stroke onset from a representative clinical center in Korea, was used to establish a prognostic model. Multivariable logistic regression was used to develop the model for global and safety outcomes. An external validation of developed model was performed using 954 patients data obtained from 5 university hospitals or regional stroke centers.

Results

Final global outcome predictors were age; previous modified Rankin

SUBMITTER: Lee JS 

PROVIDER: S-EPMC4460339 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature