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Dataset Information

Nomogram to predict 3 month prognosis of acute ischemic stroke among young adults.


ABSTRACT:

Objective

This study aimed to develop and validate a nomogram for predicting the risk of 3 months adverse outcomes among young adults with acute ischemic stroke (AIS).

Methods

Patients aged between 18 and 50 with acute ischemic stroke (AIS) at the Shenyang First's People Hospital, between January 1st 2017 to May 30th 2023 were included in this retrospective study. The primary outcome was a three-month unfavorable outcome, evaluated with modified Rankin Scale (mRS > 2). Univariate logistic regression was used to select the independent factors of prognosis and multivariate logistic regression to establish a new nomogram model. We used the area under the receiver-operating characteristic curve (ROC) to evaluate the discriminative performance and used the calibration curve with

SUBMITTER: He Q 

PROVIDER: S-EPMC11822686 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature