TY - JOUR
T1 - Development and validation of severe hypoxemia associated risk prediction model in 1,000 mechanically ventilated patients
AU - Pannu, Sonal R.
AU - Franco, Pablo Moreno
AU - Li, Guangxi
AU - Malinchoc, Michael
AU - Wilson, Gregory
AU - Gajic, Ognjen
PY - 2015/2/1
Y1 - 2015/2/1
N2 - 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.
AB - 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.
KW - Hypoxemic respiratory failure
KW - Mortality risk prediction
KW - Prediction model
KW - Refractory hypoxemia
KW - Severe hypoxemia
UR - http://www.scopus.com/inward/record.url?scp=84925354079&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84925354079&partnerID=8YFLogxK
U2 - 10.1097/CCM.0000000000000671
DO - 10.1097/CCM.0000000000000671
M3 - Article
C2 - 25318386
AN - SCOPUS:84925354079
VL - 43
SP - 308
EP - 317
JO - Critical Care Medicine
JF - Critical Care Medicine
SN - 0090-3493
IS - 2
ER -