Related Experiment Video
Updated: Apr 16, 2026

Preoxygenation Techniques for Tracheal Intubation in Critically Ill Adults Utilizing Oxygen Mask and Noninvasive Ventilation
Published on: December 5, 2025
Predicting Failure at Initiation of High-Flow Nasal Oxygen in Patients With COVID-19: Literature Review, Development
Daphne J T Sjauw1,2, Matthijs L Janssen1,2,3, Yasemin Türk4
1Department of Intensive Care, Franciscus Gasthuis & Vlietland, Rotterdam, the Netherlands.
Background And Objective:
High-Flow Nasal Oxygen (HFNO) can reduce the need for invasive mechanical ventilation in patients with acute hypoxemic respiratory failure (AHRF) from viral pneumonias, like COVID-19. Early prediction of HFNO failure is useful for timely decision-making at HFNO initiation. This study aimed to develop a prediction model for HFNO failure using predictors available just prior to HFNO initiation in patients with COVID-19 AHRF and compare its performance to existing models.
Methods:
This multicenter, prospective observational cohort study included hospitalized patients from 10 centers in the Netherlands between December 2020 and July 2021. Adults who tested positive for SARS-CoV-2, had no treatment limitations, and initiated HFNO for hypoxemia were included. The primary outcome was HFNO failure, defined as the event of endotracheal intubation. Pre-defined candidate predictors were selected by multivariable logistic regression for prediction model development. Internal validation was conducted using bootstrapping.
Results:
Out of 608 patients, 277 (46%) experienced HFNO failure. Independent predictors of HFNO failure included (odds ratio [95% CI]): age (1.02 [1.00-1.03]), urea (1.04 [1.00-1.08]), platelet count (0.94 [0.92-0.97]), respiratory rate (1.05 [1.02-1.08]), oxygen saturation (0.89 [0.84-0.94]), and FiO2 (conventional oxygen 10-15 L/min vs. < 10 L/min: 3.00 [1.71-5.29], 15 L/min vs. < 10 L/min: 4.95 [3.19-7.70]) prior to HFNO initiation. The model C-statistic was 0.767; 95% CI [0.727-0.803], with excellent calibration (intercept: -0.005, slope: 1.001), and stable performance after internal validation.
Conclusions:
This newly developed model, using variables available at HFNO initiation, effectively predicted HFNO failure in hospitalized hypoxemic patients due to COVID-19 pneumonia with good performance.
Registration Number Clinical Trial:
Dutch Trial Registry: DTR, NL9067.
More Related Videos
05:46A Novel Inhalation Mask System to Deliver High Concentrations of Nitric Oxide Gas in Spontaneously Breathing Subjects
Published on: May 4, 2021
04:16Inspiratory Muscle Training as an Adjunct to the Treatment of Weaning Failure in Critically Ill Patients: A Practical Guide
Published on: January 30, 2026
Related Concept Videos
Administering Oxygen by Nasal Cannula
Nasal Cannulas
A nasal cannula is a lightweight tube split into two prongs placed in the nostrils,...
Oxygen Delivering System I: Nasal Cannula and Face Mask
Nasal Cannula
A nasal cannula is a lightweight tube split at one end into two prongs and placed in the nostrils. It is typically used to deliver low to medium levels of oxygen.
Suggested flow rate: The suggested flow rate for a nasal cannula typically ranges between 1 and 6 L/min.
Oxygen percentage setting:...
Acute Respiratory Failure-II
The underlying physiological abnormalities that contribute to hypoxemic respiratory failure include:
Acute Respiratory Failure-V
Ensure that patients are monitored continuously for their response to therapy, including changes in...
Administering Oxygen by Mask
Administering oxygen by mask is a common nursing intervention that provides supplemental oxygen to patients with respiratory distress or chronic lung conditions. This procedure involves delivering oxygen at a specified rate through a face mask connected to an oxygen source.
Equipment
The equipment necessary for this procedure includes:
Acute Respiratory Failure-I
Definition: It is defined by specific criteria based on blood gas measurements. Hypoxemia happens when the partial pressure of oxygen (PaO2) falls below 60 mmHg. At the same time,...