Abstract
Objectives: Patients with severe, persistent hypoxemic respiratory failure have a higher mortality. Early identification is critical for informing clinical decisions, using rescue strategies, and enrollment in clinical trials. The objective of this investigation was to develop and validate a prediction model to accurately and timely identify patients with severe hypoxemic respiratory failure at high risk of death, in whom novel rescue strategies can be efficiently evaluated.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 308-317 |
| Number of pages | 10 |
| Journal | Critical care medicine |
| Volume | 43 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 1 2015 |
Keywords
- Hypoxemic respiratory failure
- Mortality risk prediction
- Prediction model
- Refractory hypoxemia
- Severe hypoxemia
ASJC Scopus subject areas
- Critical Care and Intensive Care Medicine
Fingerprint Dive into the research topics of 'Development and validation of severe hypoxemia associated risk prediction model in 1,000 mechanically ventilated patients'. Together they form a unique fingerprint.
Cite this
Pannu, S. R., Franco, P. M., Li, G., Malinchoc, M., Wilson, G., & Gajic, O. (2015). Development and validation of severe hypoxemia associated risk prediction model in 1,000 mechanically ventilated patients. Critical care medicine, 43(2), 308-317. https://doi.org/10.1097/CCM.0000000000000671