New Strategies to Optimize Hemodynamics for Sepsis-Associated Encephalopathy.

ABSTRACT: Background: Sepsis-associated encephalopathy (SAE) is associated with high morbidity and mortality. Hemodynamic dysfunction plays a significant role in the incidence and mortality of SAE. Therefore, this study aimed to explore the relationship between hemodynamic indicators and SAE. Methods: 9033 patients with sepsis 3.0 were selected in a prospective study cohort. The LASSO regression model was used to select characteristic variables and remove the collinearity between them. In addition, a generalized additive model was used to find the optimal hemodynamic index value for patients with SAE. Multivariate logistic regression models, propensity matching scores, inverse probability weighting, and doubly robust estimation confirmed the reliability of the study results (i.e., the

SUBMITTER: Zhao L 

PROVIDER: S-EPMC9784429 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature