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Predictive performance of ROX index and its variations for NIV failure
Lada Lijović1, Tomislav Radočaj2, Nataša Kovač2
1Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Science, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, University of Amsterdam, Vrije Universiteit, Amsterdam, The Netherlands; Department of Anesthesiology, Intensive Care and Pain Management, Sestre Milosrdnice University Hospital Center, Zagreb, Croatia.
The ROX index and its variations showed moderate ability to predict non-invasive ventilation (NIV) failure in ICU patients. Current performance is insufficient for clinical decision support in predicting intubation risk.
Area of Science:
- Critical Care Medicine
- Respiratory Physiology
- Health Informatics
Background:
- Non-invasive ventilation (NIV) is a common ICU treatment.
- Predicting NIV failure is crucial for timely intervention and improved patient outcomes.
- Existing predictive indices require validation in large, diverse patient cohorts.
Purpose of the Study:
- To evaluate the predictive performance of the ROX index and its variations (mROX, ROX-HR, mROX-HR) for NIV failure.
- To assess these indices in large public ICU databases.
- To determine their utility in predicting the risk of intubation in ICU patients receiving NIV.
Main Methods:
- Retrospective observational cohort study utilizing AmsterdamUMCdb and MIMIC-IV databases.
- Included 3344 non-invasively ventilated ICU patients.
- Calculated ROX indices based on SpO2, respiratory rate, FiO2, and PaO2 within the first 12 hours of NIV.
Main Results:
- The ROX index demonstrated the best predictive performance with an AUROC of 0.626 at 10-12 hours.
- NIV failure was associated with higher SOFA scores and CRP levels.
- No significant differences in NIV duration or 28-day mortality were observed between failure and success groups.
Conclusions:
- The ROX index and its variations exhibit only moderate predictive value for NIV failure in large ICU cohorts.
- Current performance levels do not support their use for clinical decision support in predicting intubation.
- Further research may be needed to refine or identify more accurate predictive tools for NIV failure.
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