Development and validation of a nomogram model for prediction of stroke-associated pneumonia associated with intracerebral hemorrhage.

ABSTRACT:

Background

We aimed to establish risk factors for stroke-associated pneumonia (SAP) following intracerebral hemorrhage (ICH) and develop an efficient and convenient model to predict SAP in patients with ICH.

Methods

Our study involved 1333 patients consecutively diagnosed with ICH and admitted to the Neurology Department of the First Affiliated Hospital of Wenzhou Medical University. The 1333 patients were randomly divided (3:1) into the derivation cohort (n = 1000) and validation Cohort (n = 333). Variables were screened from demographics, lifestyle-related factors, comorbidities, clinical symptoms, neuroimaging features, and laboratory tests. In the derivation cohort, we developed a prediction model with multivariable logistic regression analysis. In the validation cohort,

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10559607 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature