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Dataset Information

SARS-CoV-2 infection and acute ischemic stroke in Lombardy, Italy.


ABSTRACT:

Objective

To characterize patients with acute ischemic stroke related to SARS-CoV-2 infection and assess the classification performance of clinical and laboratory parameters in predicting in-hospital outcome of these patients.

Methods

In the setting of the STROKOVID study including patients with acute ischemic stroke consecutively admitted to the ten hub hospitals in Lombardy, Italy, between March 8 and April 30, 2020, we compared clinical features of patients with confirmed infection and non-infected patients by logistic regression models and survival analysis. Then, we trained and tested a random forest (RF) binary classifier for the prediction of in-hospital death among patients with COVID-19.

Results

Among 1013 patients, 160 (15.8%) had SARS-CoV-2 infection. Male

SUBMITTER: Pezzini A 

PROVIDER: S-EPMC8142879 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature