Prognostic analysis of high-flow nasal cannula therapy and non-invasive ventilation in mild to moderate hypoxemia patients and construction of a machine learning model for 48-h intubation prediction—a retrospective analysis of the MIMIC database

Prognostic analysis of high-flow nasal cannula therapy and non-invasive ventilation in mild to moderate hypoxemia patients and construction of a machine learning model for 48-h intubation prediction—a retrospective analysis of the MIMIC database

BackgroundThis study aims to investigate the clinical outcome between high-flow nasal cannula (HFNC) and non-invasive ventilation (NIV) therapy in mild to moderate hypoxemic patients on the first ICU day and to develop a predictive model of 48-h intubation.MethodsThe study included adult patients fr...

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Bibliographic Details
Main Authors: Wei Fu, Xiaoqing Liu, Lili Guan, Zhimin Lin, Zhenfeng He, Jianyi Niu, Qiaoyun Huang, Qi Liu, Rongchang Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Medicine
Subjects:
high flow nasal cannula
non-invasive ventilation
ICU 28-day mortality
48-h intubation risk predictive model
maching learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1213169/full

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https://www.frontiersin.org/articles/10.3389/fmed.2024.1213169/full

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