Development and validation of a predictive model for invasive ventilation risk within 48 hours of admission in patients with early sepsis-associated acute kidney injury

Development and validation of a predictive model for invasive ventilation risk within 48 hours of admission in patients with early sepsis-associated acute kidney injury

ObjectiveTo identify patients with early sepsis-associated acute kidney injury (SA-AKI) at high risk of requiring invasive ventilation within 48 h of admission, facilitating timely interventions to improve prognosis.MethodsThis retrospective study included patients with early SA-AKI admitted to Dong...

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Bibliographic Details
Main Authors: Li Hong, Bin Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Medicine
Subjects:
sepsis
acute kidney injury
invasive ventilation
prediction model
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1577154/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1577154/full

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