Predictive model of acute kidney injury after spontaneous intracerebral hemorrhage: A multicenter retrospective study.

ABSTRACT:

Background and objectives

Acute kidney injury is a common comorbidity in patients with intracerebral hemorrhage. Although there are predictive models to determine risk of AKI in patients in critical care or post-surgical scenarios or in general medical floors, there are no models that specifically determine the risk of AKI in patients with ICH.

Methods

Clinical features and laboratory tests were selected by previous studies and LASSO (least absolute shrinkage and selection operator) regression. We used multivariable logistic regression with a bidirectional stepwise method to construct ICH-AKIM (intracerebral hemorrhage-associated acute kidney injury model). The accuracy of ICH-AKIM was measured by the area under the receiver operating characteristic curve. The outcome was AK

SUBMITTER: Tian Y 

PROVIDER: S-EPMC10472951 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature