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A Controlled Mouse Model for Neonatal Polymicrobial Sepsis
Published on: January 27, 2019
Sepsis Screening: Combining Early Warning Scores and SIRS Criteria
Corrie Kangas1, Lindsay Iverson2, Dustin Pierce3
1Mayo Clinic, Rochester, Minnesota, USA.
Abstract:
Providing effective screening tools to nurses is necessary to improve patient outcomes and health care quality. This research examines if the modification of two electronic health record sepsis screening tools using a combined systemic inflammatory response syndrome (SIRS), modified early warning score (MEWS), and national early warning score (NEWS) criteria improves the recognition of sepsis by nurses. Medical-surgical/telemetry units at a medical center in the Midwest were examined using a quasiexperimental design. Modifications of tool 1 captured 18% more correct classifications of sepsis (odds ratio [OR] = .82, 95% CI = [0.68, 0.98]), triggering for 10% fewer patients, t(1033) = 9.31, p < .001. 95% CI = [0.078, 0.119]. Modifications of tool 2 captured 3 times more correct alerts (OR = .29, 95% CI = [0.24, 0.35]), triggering for 46% fewer patients, t(1033) = 24.38, p < .001. 95% CI = [0.420, 0.493]. The updated criteria showed significant improvement toward correctly identifying sepsis and presents the opportunity to develop an effective tool that balances sensitivity with specificity.
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