The Contribution of Chest X-Ray to Predict Extubation Failure in Mechanically Ventilated Patients Using Machine Learning-Based Algorithms

The Contribution of Chest X-Ray to Predict Extubation Failure in Mechanically Ventilated Patients Using Machine Learning-Based Algorithms

OBJECTIVES:. To evaluate the contribution of a preextubation chest X-ray (CXR) to identify the risk of extubation failure in mechanically ventilated patients. DESIGN:. Retrospective cohort study. SETTINGS:. ICUs in a tertiary center (the Medical Information Mart for Intensive Care IV database). PATI...

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Bibliographic Details
Main Authors: Kiyoyasu Fukuchi, Itsuki Osawa, MD, Shunya Satake, MD, Honoka Ito, Junichiro Shibata, Eisuke Dohi, MD, Daisuke Kasugai, MD, Yoshihisa Miyamoto, MD, PhD, Hiroyuki Ohbe, MD, Mitsuhiro Tamoto, RN, MS, Naoki Yamada, MD, Keisuke Yoshikawa, Tadahiro Goto, MD, MPH, PhD
Format: Article
Language:English
Published: Wolters Kluwer 2022-06-01
Series:Critical Care Explorations
Online Access:http://journals.lww.com/10.1097/CCE.0000000000000718

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http://journals.lww.com/10.1097/CCE.0000000000000718

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