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Dataset Information

A novel nomogram to predict hemorrhagic transformation in ischemic stroke patients after intravenous thrombolysis.


ABSTRACT:

Background

Hemorrhagic transformation (HT) is the most serious complication of ischemic stroke patients after intravenous thrombolysis and leads to a poor clinical prognosis. This study aimed to determine the independent predictors associated with HT in stroke patients with intravenous thrombolysis and to establish and validate a nomogram that combines with predictors to predict the probability of HT after intravenous thrombolysis in patients with ischemic stroke.

Method

This study enrolled ischemic stroke patients with intravenous thrombolysis from December 2016 to June 2022. All the patients were divided into training and validation cohorts. The nomogram was composed of the significant predictors for HT in the training cohort as obtained by the multivariate logistic regres

SUBMITTER: Yang M 

PROVIDER: S-EPMC9494598 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature