A Dynamic Nomogram to Predict the Risk of Stroke in Emergency Department Patients With Acute Dizziness.

ABSTRACT:

Objective

To develop a risk prediction tool for acute ischemic stroke (AIS) for patients presenting to the emergency department (ED) with acute dizziness/vertigo or imbalance.

Method

A prospective, multicenter cohort study was designed, and adult patients presenting with dizziness/vertigo or imbalance within 14 days were consecutively enrolled from the EDs of 4 tertiary hospitals between August 10, 2020, and June 10, 2021. Stroke was diagnosed by CT or MRI performed within 14 days of symptom onset. Participants were followed-up for 30 days. The least absolute shrinkage and selection operator (LASSO) logistic regression analysis was conducted to extract predictive factors that best identified patients at high risk of stroke to establish a prediction model. Model discriminatio

SUBMITTER: Bi Y 

PROVIDER: S-EPMC8896851 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature