RT Journal Article
SR Electronic
T1 The Modified Early Warning Score as a Predictive Tool During Unplanned Surgical Intensive Care Unit Admission
JF Ochsner Journal
JO Ochsner J
FD O. P. Jindal Global University
SP 176
OP 181
DO 10.31486/toj.19.0057
VO 20
IS 2
A1 Annandita Kumar
A1 Hussam Ghabra
A1 Fiona Winterbottom
A1 Michael Townsend
A1 Philip Boysen
A1 Bobby D. Nossaman
YR 2020
UL http://www.ochsnerjournal.org/content/20/2/176.abstract
AB Background: The Modified Early Warning Score (MEWS) has been proposed to warn healthcare providers of potentially serious adverse events. We evaluated this scoring system during unplanned escalation of care in hospitalized surgical patients during a 1-year period.Methods: Following institutional review board approval, all consecutive, unplanned surgical admissions into the surgical intensive care unit (SICU) during 2016 were entered into this study. MEWS and patient demographics during bedside evaluation for SICU admission were extracted from electronic medical records. Logistic regression was used to analyze the association of MEWS with the incidence of future mortality. P values were set at <0.01 for statistical significance.Results: In this series of 263 consecutive patients, the incidence of mortality following unplanned escalation of care was 29.3% (confidence interval [CI] 24.1% to 35.0%), ranging from 22% to 57%, with all positive MEWS values. The association of MEWS with future mortality was not statistically significant (P=0.0107). A misclassification rate of 0.29 (CI 0.24 to 0.35) was observed with this association.Conclusion: MEWS provided no clinical benefit as an early warning system, as mortality was elevated throughout the MEWS scale in this clinical setting. The high misclassification rate indicates MEWS does not provide discriminatory support for patients at risk for mortality.