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

The nomogram developed in this study is capable of accurately predicting the risk of invasive ventilation in SA-AKI patients within 48 h of admission, offering a valuable tool for early clinical decision-making.

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Publication Details

Journal
Frontiers in Medicine
Published
2025-06-18
DOI
https://doi.org/10.3389/fmed.2025.1577154
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Hong Li, Bin Wang
Frontiers in Medicine
Sepsis Diagnosis and Treatment
article

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

Hong Li, Bin Wang
article en

Abstract

The nomogram developed in this study is capable of accurately predicting the risk of invasive ventilation in SA-AKI patients within 48 h of admission, offering a valuable tool for early clinical decision-making.

Frontiers in MedicineVol. 12
Wenzhou Medical University (CN), Dongyang People's Hospital (CN)
Reduced inequalities
Openalex Percentile: Top 80%
Sepsis Diagnosis and Treatment
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