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Detection of Ventilator-Associated Events Among Adults: Comparing a Naïve Bayes Classifier and Logistic Regression

Translation
A Naïve Bayes classifier was used to identify mechanically ventilated patients at risk for ventilator-associated events (VAEs). VAEs, which can lead to ventilator-associated pneumonia (VAP), are considered preventable and have therefore been extensively
William Barnett, James Bassett, Chad Jaenke, Zachary Holtzapple, Kiran Boyinepally, Warren Back, Aadil Maqsood, Fadi Safi, Ragheb Assaly   +8 more
doaj   +3 more sources

Fluid Overload and Kidney Injury Score as a Predictor for Ventilator-Associated Events [PDF]

Frontiers in Pediatrics, 2019
Objective: The Pediatric and Neonatal Working group developed new ventilator associated events (VAE) definitions for children and neonates. VAE includes ventilator-associated condition (VAC), infection-related ventilator-associated complication (IVAC ...
Jarin Vaewpanich, Jarin Vaewpanich, Jarin Vaewpanich, Ayse Akcan-Arikan, Ayse Akcan-Arikan, Ayse Akcan-Arikan, Jorge A. Coss-Bu, Jorge A. Coss-Bu, Curtis E. Kennedy, Curtis E. Kennedy, Jeffrey R. Starke, Jeffrey R. Starke, Satid Thammasitboon, Satid Thammasitboon   +13 more
doaj   +2 more sources

Automated Surveillance of Ventilator-Associated Events and Mortality Before and During the COVID-19 Pandemic: A Single-Center Retrospective Study in Japan. [PDF]

Cureus
Yoshida J, Shiraishi K, Mataga A, Kikuchi T, Tanaka M.   +4 more
europepmc   +3 more sources

Volatile diagnostic techniques for ventilator associated pneumonia [PDF]

, 2010
Ventilator associated pneumonia (VAP) is a significant challenge for the Intensive Care doctors worldwide. It is both difficult to diagnose accurately and quickly and to treat effectively once the diagnosis has been established.
Humphreys, Martyn Lee
core   +7 more sources

Minor change in initial PEEP setting decreases rates of ventilator-associated events in mechanically ventilated trauma patients [PDF]

Trauma Surgery & Acute Care Open, 2020
Background Surveillance of ventilator-associated events (VAEs) as defined by the National Healthcare Safety Network (NHSN) is performed at many US trauma centers and considered a measure of healthcare quality. The surveillance algorithm relies in part on
Jordan A Weinberg, Kristina M Chapple, James N Bogert, Hahn Soe-Lin, Ethan Ferrel, Liviu Gabriel Calugaru, Jennifer Maxwell, Jessica A Johnson, Andrew W Mezher   +8 more
doaj   +2 more sources

Pediatric Ventilator-Associated Events Before and After a Multicenter Quality Improvement Initiative. [PDF]

JAMA Netw Open, 2023
Wu AG, Madhavan G, Deakins K, Evans D, Hayward A, Pugh C, Stutts AC, Mustin L, Staubach KC, Sisson P, Coffey M, Lyren A, Lee GM, Gupta S, Pereira-Argenziano L, Priebe GP, Solutions for Patient Safety (SPS) PedVAE Study Group.   +16 more
europepmc   +2 more sources

Association between ventilator-associated events and implementation of acute respiratory distress syndrome (ARDS) ventilator weaning protocol [PDF]

American Journal of Infection Control, 2023
Jennifer Sanguinet, Todd Hightower, Sheri Stucke   +2 more
exaly   +2 more sources

P-1047. Incidence and Characteristics of Ventilator-Associated Events (VAEs) in an adult ICU [PDF]

Open Forum Infect Dis
Sunit Sikdar, Seema Sood, Manish Soneja, Animesh Ray, Megha Priyadarshi, Das Bk, Naveet Wig   +6 more
europepmc   +2 more sources

A reappraisal of association between ventilator-associated events and mortality among critically ill patients using marginal structural model: multicenter observational study. [PDF]

Intensive Care Med
Nakahashi S, Suzuki K, Nakashima T, Hayashi Y, Tanabe Y, Tanaka A, Hashiuchi S, Yamashita C, Ito Y, Wada T, Yamashita A, Shima M, Hoshino T, Moriyama K, Kazuma S, Lee HA, Yamaguchi Y, Nakamura Y, Kawanobe Y, Sofue T, Nishimura Y, Shinozaki T, Goto T, Hashimoto S, Fujino Y, Shime N, Japan VAE study Investigators Group.   +26 more
europepmc   +3 more sources

Publisher Correction: A reappraisal of association between ventilator-associated events and mortality among critically ill patients using marginal structural model: multicenter observational study. [PDF]

Intensive Care Med
Nakahashi S, Suzuki K, Nakashima T, Hayashi Y, Tanabe Y, Tanaka A, Hashiuchi S, Yamashita C, Ito Y, Wada T, Yamashita A, Shima M, Hoshino T, Moriyama K, Kazuma S, Lee HA, Yamaguchi Y, Nakamura Y, Kawanobe Y, Sofue T, Nishimura Y, Shinozaki T, Goto T, Hashimoto S, Fujino Y, Shime N, Japan VAE study Investigators Group.   +26 more
europepmc   +3 more sources