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- W4367554313 abstract "Early warning scores are algorithms designed to identify clinical deterioration. Current literature is predominantly in non-Veteran populations. Studies in Veterans are lacking. This study was a prospective quality improvement project deploying and assessing the National Early Warning Score (NEWS) at Kansas City VA Medical Center. Performance of NEWS was assessed as follows: discrimination for predicting a composite outcome of intensive care unit transfer or mortality within 24 hours via area under the receiver operating curve. A total of 4781 Veterans with 142 375 NEWS values were included. The NEWS area under the receiver operating curve for the composite outcome was 0.72 (95% CI, 0.71-0.74), indicating acceptable predictive accuracy. A NEWS of ≥7 was more likely associated with the composite outcome versus <7 (13.6% vs 0.8%; P < 0.001). This is one of the first studies to demonstrate successful deployment of NEWS in a Veteran population, with resultant important implications across the Veterans Health Administration." @default.
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- W4367554313 date "2023-05-01" @default.
- W4367554313 modified "2023-10-14" @default.
- W4367554313 title "National Early Warning Score Deployment in a Veterans Affairs Facility: A Quality Improvement Initiative and Analysis" @default.
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- W4367554313 doi "https://doi.org/10.1097/jmq.0000000000000123" @default.
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