The Occurrence of Ventilator-Associated Pneumonia in a Community Hospital

CHEST Journal ◽  
2001 ◽  
Vol 120 (2) ◽  
pp. 555-561 ◽  
Author(s):  
Emad H. Ibrahim ◽  
Linda Tracy ◽  
Cherie Hill ◽  
Victoria J. Fraser ◽  
Marin H. Kollef
2003 ◽  
Vol 24 (11) ◽  
pp. 853-858 ◽  
Author(s):  
Hilary M. Babcock ◽  
Jeanne E. Zack ◽  
Teresa Garrison ◽  
Ellen Trovillion ◽  
Marin H. Kollef ◽  
...  

AbstractObjective:To determine whether there were differences in the microbiologic etiologies of ventilator-associated pneumonia in different clinical settings.Design:Observational retrospective cohort study of microbiologic etiologies of ventilator-associated pneumonia from 1998 to 2001 in a multi-hospital system. Microbiologic results were compared between hospitals and between different intensive care units (ICUs) within hospitals.Setting:Three hospitals—one pediatric teaching hospital, one adult teaching hospital, and one community hospital— in one healthcare system in the midwestern United States.Patients:Patients at the target hospitals who developed ventilator-associated pneumonia and for whom microbiologic data were available.Results:Seven hundred fifty-three episodes of ventilator-associated pneumonia had culture data available for review. The most common organisms at all hospitals were Staphylococcus aureus (28.4%) and Pseudomonas aeruginosa (25.2%). The pediatric hospital had higher proportions of Escherichia coli (9.5% vs 2.3%; P < .001) and Klebsiella pneumoniae (13% vs 3.1%; P < .001) than did the adult hospitals. In the pediatric hospital, the pediatric ICU had higher P. aeruginosa rates than did the neonatal ICU (33.3% vs 17%; P = .01). In the adult hospitals, the surgical ICU had higher Acinetobacter baumannii rates (10.2% vs. 1.7%; P < .001) than did the other ICUs.Conclusions:Microbiologic etiologies of ventilator-associated pneumonia vary between and within hospitals. Knowledge of these differences can improve selection of initial antimicrobial regimens, which may decrease mortality.


2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
W. Bradley Dosher ◽  
Elena C. Loomis ◽  
Sherry L. Richardson ◽  
Jennifer A. Crowell ◽  
Richard D. Waltman ◽  
...  

Background. Ventilator-associated pneumonia (VAP) is a worrisome, yet potentially preventable threat in critically ill patients. Evidence-based clinical practices targeting the prevention of VAP have proven effective, but the most optimal methods to ensure consistent implementation and compliance remain unknown.Methods. A retrospective study of the trend in VAP rates in a community-hospital’s open medical intensive care unit (MICU) after the enactment of a nurse-led VAP prevention team. The period of the study was between April 1, 2009, and September 30, 2012. The team rounded on mechanically ventilated patients every Tuesday and Thursday. They ensured adherence to the evidence-based VAP prevention. A separate and independent infection control team monitored VAP rates.Results. Across the study period, mean VAP rate was 3.20/1000 ventilator days ±5.71 SD. Throughout the study time frame, there was an average monthly reduction in VAP rate of 0.27/1000 ventilator days,P<0.001(CI: −0.40–−0.13).Conclusion. A nurse-led interdisciplinary team dedicated to VAP prevention rounding twice a week to ensure adherence with a VAP prevention bundle lowered VAP rates in a community-hospital open MICU. The team had interdepartmental and administrative support and addressed any deficiencies in the VAP prevention bundle components actively.


2020 ◽  
Vol 1 (2) ◽  
pp. 26-31
Author(s):  
Kimiyo Yamasaki ◽  
Joshua Mullen ◽  
Denise Wheatley ◽  
Ron Sanderson

Objective: Accurate measurements of ventilator length of stay are important for quality measures and mandated by Centers of Disease Control for reporting ventilator associated events. However, it is unknown which method of such a calculation gives the more accurate results. Design: We collected data using three different methods of calculating ventilator length of stay in a community hospital ICU. The first method is the walk-through method for collection of data at 6 am, the second is a data base collection system we created where data was collected by respiratory therapists in a daily ventilator patient log then entered into the database, and finally from query of medical charges for ventilator days from financial department Results: There was statistically significant disagreement between the three methods. The walk though method and data base were not statistically different, but the data from financial charges overestimated the ventilator length of stay. Additionally, there was not statistically significant differences between the time of the walk-through data collection. Conclusion: Ventilator days and hours should be measured by a precise database rather than indirect methods of estimation like walk-through or financial charges. Patient exposure to risk, and reporting of ventilator time, whether days or hours should be measured directly, not estimated. A larger study needs to be performed to examine this variation in a broader medical setting. Keywords: ventilator length of stay, ventilator associated events, ventilator associated pneumonia


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