Skip to main content

Volume 16 Supplement 3

Sepsis 2012

  • Poster presentation
  • Open access
  • Published:

Defining the impact of delayed antibiotic administration using a comprehensive electronic health record screen to identify sepsis

Background

The true effectiveness of early antibiotic administration relative to the clinical identification of sepsis in a real-world setting is unknown. Previous studies described the impact of antibiotic timing within an isolated septic shock cohort. A novel electronic health record (EHR) screening tool, Clinical Vigilanceâ„¢ for Sepsis, is able to identify the presence of sepsis and correlate with meaningful patient-centered outcomes. The objective was to define the impact of delayed antibiotic administration relative to the clinical identification of sepsis using an EHR alert system.

Methods

A retrospective analysis of a prospectively compiled registry of patient EHR records in a single-center 300-bed community hospital. A consecutive assessment of all adult patients with suspected infection over a 3-month period in 2011. A physician order for intravenous antibiotics was used as a surrogate for the clinical suspicion of systemic infection (sepsis). The test variable was application of a comprehensive automated EHR screening tool, CV Alert, to identify high-risk sepsis patients based on a multifactor alert system including labs, vital signs, and treatment team documentation. The primary outcome was all cause in-hospital mortality, and a secondary outcome was hospital length of stay (LOS). Antibiotic delivery was defined a priori as the time a physician order was placed for intravenous antibiotics and outcomes were assessed every 12 hours prior to and subsequent to the CV Alert.

Results

We identified 2,255 consecutive patients with suspected infection over a 3-month period from a total of 23,717 screened (9.5%). CV Alert was triggered in 867 of 2,255 (38%). Patients identified by CV Alert (n = 867) had an increased mortality rate (5.3% vs. 0.6%, P < 0.001) and increased hospital LOS (5 vs. 2 days, P < 0.001) compared with patients not triggering an alert (n = 1,388). Patients given antibiotics 0 to 12 hours after the alert had a significantly increased mortality rate (8.9% vs. 3.3%, P < 0.002) and longer LOS (6 vs. 4 days, P < 0.001) compared with patients given antibiotics 0 to 24 hours prior to alert.

Conclusion

Among patients with suspected infection, those identified by the CV Alert had an increased mortality rate and hospital length of stay. Delayed antibiotics relative to the time of CV Alert were associated with a progressive increase in mortality rate and hospital LOS. An EHR-based screening tool applied to a real-time healthcare system could aid in the early identification of at-risk patients within a sepsis cohort.

Author information

Authors and Affiliations

Authors

Rights and permissions

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Cite this article

Arnold, R., Hollenberg, S. Defining the impact of delayed antibiotic administration using a comprehensive electronic health record screen to identify sepsis. Crit Care 16 (Suppl 3), P103 (2012). https://doi.org/10.1186/cc11790

Download citation

  • Published:

  • DOI: https://doi.org/10.1186/cc11790

Keywords