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Emergency Department Crowding Is Associated With Delayed Antibiotics for Sepsis - 21/03/19

Doi : 10.1016/j.annemergmed.2018.10.007 
Ithan D. Peltan, MD, MSc a, b, , Joseph R. Bledsoe, MD d, Thomas A. Oniki, PhD a, Jeffrey Sorensen, MStat a, Al R. Jephson, BA a, Todd L. Allen, MD d, Matthew H. Samore, MD c, Catherine L. Hough, MD, MSc e, Samuel M. Brown, MD, MSc a, b
a Division of Pulmonary and Critical Care Medicine, Department of Medicine, Intermountain Medical Center, Murray, UT 
b Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT 
c Division of Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT 
d Department of Emergency Medicine, Intermountain Medical Center, Salt Lake City, UT 
e Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, WA 

Corresponding Author.

Abstract

Study objective

Barriers to early antibiotic administration for sepsis remain poorly understood. We investigated the association between emergency department (ED) crowding and door-to-antibiotic time in ED sepsis.

Methods

We conducted a retrospective cohort study of ED sepsis patients presenting to 2 community hospitals, a regional referral hospital, and a tertiary teaching hospital. The primary exposure was ED occupancy rate, defined as the ratio of registered ED patients to licensed ED beds. We defined ED overcrowding as an ED occupancy rate greater than or equal to 1. We used multivariable regression to measure the adjusted association between ED crowding and door-to-antibiotic time (elapsed time from ED arrival to first antibiotic initiation). Using Markov multistate models, we also investigated the association between ED crowding and pre-antibiotic care processes.

Results

Among 3,572 eligible sepsis patients, 70% arrived when the ED occupancy rate was greater than or equal to 0.5 and 14% arrived to an overcrowded ED. Median door-to-antibiotic time was 158 minutes (interquartile range 109 to 216 minutes). When the ED was overcrowded, 46% of patients received antibiotics within 3 hours of ED arrival compared with 63% when it was not (difference 14.4%; 95% confidence interval 9.7% to 19.2%). After adjustment, each 10% increase in ED occupancy rate was associated with a 4.0-minute increase (95% confidence interval 2.8 to 5.2 minutes) in door-to-antibiotic time and a decrease in the odds of antibiotic initiation within 3 hours (odds ratio 0.90; 95% confidence interval 0.88 to 0.93). Increasing ED crowding was associated with slower initial patient assessment but not further delays after the initial assessment.

Conclusion

ED crowding was associated with increased sepsis antibiotic delay. Hospitals must devise strategies to optimize sepsis antibiotic administration during periods of ED crowding.

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Plan


 Please see page 346 for the Editor’s Capsule Summary of this article.
 Supervising editor: Henry E. Wang, MD, MS
 Author contributions: IDP, JRB, JS, TLA, and SMB conceived and designed the study. IDP obtained research funding and wrote the article. IDP, TAO, and ARJ acquired the data. IDP, and JS analyzed the data. IDP, JRB, JS, TLA, MHS, CLH, and SMB interpreted the results. All authors contributed substantially to article revision. IDP takes responsibility for the paper as a whole.
 All authors attest to meeting the four ICMJE.org authorship criteria: (1) Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; AND (2) Drafting the work or revising it critically for important intellectual content; AND (3) Final approval of the version to be published; AND (4) Agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
 Funding and support: By Annals policy, all authors are required to disclose any and all commercial, financial, and other relationships in any way related to the subject of this article as per ICMJE conflict of interest guidelines (see www.icmje.org/). The authors have stated that no such relationships exist. This work was supported by the Intermountain Research and Medical Foundation.
 The funding source had no role in the design, conduct, analysis, or reporting of this study.
 Readers: click on the link to go directly to a survey in which you can provide XWGH9SC to Annals on this particular article.
 A podcast for this article is available at www.annemergmed.com.


© 2018  American College of Emergency Physicians. Publié par Elsevier Masson SAS. Tous droits réservés.
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Vol 73 - N° 4

P. 345-355 - avril 2019 Retour au numéro
Article précédent Article précédent
  • Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis
  • Ryan J. Delahanty, JoAnn Alvarez, Lisa M. Flynn, Robert L. Sherwin, Spencer S. Jones
| Article suivant Article suivant
  • The 2018 Surviving Sepsis Campaign’s Treatment Bundle: When Guidelines Outpace the Evidence Supporting Their Use
  • Rory Spiegel, Joshua D. Farkas, Philippe Rola, Jon-Emile Kenny, Segun Olusanya, Paul E. Marik, Scott D. Weingart

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