Racial Differences in Accuracy of Predictive Models for High-Flow Nasal Cannula Failure in COVID-19

Racial Differences in Accuracy of Predictive Models for High-Flow Nasal Cannula Failure in COVID-19

OBJECTIVES:. To develop and validate machine learning (ML) models to predict high-flow nasal cannula (HFNC) failure in COVID-19, compare their performance to the respiratory rate-oxygenation (ROX) index, and evaluate model accuracy by self-reported race. DESIGN:. Retrospective cohort study. SETTING:...

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Bibliographic Details
Main Authors: Philip Yang, MD, MSc, Ismail A. Gregory, MD, Chad Robichaux, MPH, Andre L. Holder, MD, MSc, Greg S. Martin, MD, MSc, Annette M. Esper, MD, MSc, Rishikesan Kamaleswaran, PhD, Judy W. Gichoya, MD, Sivasubramanium V. Bhavani, MD, MS
Format: Article
Language:English
Published: Wolters Kluwer 2024-03-01
Series:Critical Care Explorations
Online Access:http://journals.lww.com/10.1097/CCE.0000000000001059

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http://journals.lww.com/10.1097/CCE.0000000000001059

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