BACKGROUND: Recent studies suggest that when prolonged ventilator dependence (PVD) can be predicted in trauma or intensive care unit patients, early tracheostomy may reduce hospital stay and improve utilization of resources. This study was performed to develop criteria predictive of PVD (> 14 days) in burn patients. METHODS: We reviewed burn patients aged > or =16 years admitted between 1990 and 1994 who required ventilator support for > or =3 days. Using the variables full-thickness burn size, age, inhalation injury, and worst PaO2/FiO2 on ventilator day 3, an equation predicting PVD was created using logistic regression. The equation was tested by applying it to 1995 patients. RESULTS: When a probability of >0.5 was considered predictive of PVD, the equation correctly predicted PVD in 82% of 1990 to 1994 patients (n = 110) and 90% of 1995 patients (n = 29). CONCLUSION: PVD in burn patients can be predicted using objective variables in the early postburn period. Predictions can be used to select patients for prospective studies of early tracheostomy.
BACKGROUND: Recent studies suggest that when prolonged ventilator dependence (PVD) can be predicted in trauma or intensive care unit patients, early tracheostomy may reduce hospital stay and improve utilization of resources. This study was performed to develop criteria predictive of PVD (> 14 days) in burn patients. METHODS: We reviewed burn patients aged > or =16 years admitted between 1990 and 1994 who required ventilator support for > or =3 days. Using the variables full-thickness burn size, age, inhalation injury, and worst PaO2/FiO2 on ventilator day 3, an equation predicting PVD was created using logistic regression. The equation was tested by applying it to 1995 patients. RESULTS: When a probability of >0.5 was considered predictive of PVD, the equation correctly predicted PVD in 82% of 1990 to 1994 patients (n = 110) and 90% of 1995 patients (n = 29). CONCLUSION: PVD in burn patients can be predicted using objective variables in the early postburn period. Predictions can be used to select patients for prospective studies of early tracheostomy.
Authors: Sebastian Rehberg; Marc O Maybauer; Perenlei Enkhbaatar; Dirk M Maybauer; Yusuke Yamamoto; Daniel L Traber Journal: Expert Rev Respir Med Date: 2009-06-01 Impact factor: 3.772
Authors: Kaylie I Kirkwood; Michael W Christopher; Jefferey L Burgess; Sally R Littau; Kevin Foster; Karen Richey; Brian S Pratt; Nicholas Shulman; Kaipo Tamura; Michael J MacCoss; Brendan X MacLean; Erin S Baker Journal: J Proteome Res Date: 2021-12-07 Impact factor: 4.466
Authors: Ognjen Gajic; Bekele Afessa; B Taylor Thompson; Fernando Frutos-Vivar; Michael Malinchoc; Gordon D Rubenfeld; André Esteban; Antonio Anzueto; Rolf D Hubmayr Journal: Crit Care Date: 2007 Impact factor: 9.097