| Literature DB >> 26164766 |
Dooshanveer Nuckchady1, Michael G Heckman2, Nancy N Diehl2, Tara Creech3, Darlene Carey3, Robert Domnick4, Walter C Hellinger5.
Abstract
Surveillance for initial ventilator-associated events (VAEs) was automated and compared with nonautomated review of episodes of mechanical ventilation. Sensitivity, specificity, positive predictive value, and negative predictive value of automated surveillance were very high (>93%), and automated surveillance reduced the time spent on detection of VAEs by >90%.Entities:
Keywords: Automated surveillance; Infection-related ventilator-associated conditions; Mechanical ventilation; Ventilator-associated events
Mesh:
Year: 2015 PMID: 26164766 DOI: 10.1016/j.ajic.2015.05.040
Source DB: PubMed Journal: Am J Infect Control ISSN: 0196-6553 Impact factor: 2.918