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Dataset Information

Development, assessment and validation of a novel nomogram model for predicting stroke mimics in stroke center:A single-center observational study.


ABSTRACT:

Background

Early recognition and prediction of stroke mimics (SM) can avoid inappropriate recanalization therapy and delay in the management of SM etiology. The purpose of this study is to screen the predictors for SM and develop a novel predictive nomogram model for predicting SM. Meanwhile, the diagnostic performance of the nomogram model was evaluated and validated. The diagnostic efficacy of the nomogram model was also compared with four other SM structured scales.

Methods

The clinical data of eligible patients were retrospectively enrolled as training datasets from January 2020 to December 2021; and the clinical data of eligible patients were prospectively enrolled as validation datasets from February to December 2022 in stroke center, Shengjing hospital, respectively.

SUBMITTER: Chen X 

PROVIDER: S-EPMC11472074 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature