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Dataset Information

Development of a nomogram prediction model for thrombolytic outcomes in acute ischemic stroke.


ABSTRACT:

Background

As stroke is a leading global cause of disability and death, and acute ischemic stroke (AIS) constitutes ~ 80% of strokes, prognostic assessment for intravenous thrombolysis (IVT) remains challenging. This study will evaluate pre-treatment predictors of 90-day outcomes in AIS patients receiving IVT and establish a predictive model to enhance prognostic accuracy.

Method

This retrospective cohort study included patients with AIS who received recombinant tissue plasminogen activator (rt-PA) treatment. Data collected encompassed demographic, clinical, and outcome measures, including neurological scores, blood tests, and medical history. A favorable outcome was defined as a modified Rankin Score (mRS) of ≤ 2 at 90 days post-thrombolysis. Independent risk factors were i

SUBMITTER: Li X 

PROVIDER: S-EPMC12777470 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature