Journals / Turkish Journal of Medical Sciences / 2016 / Cilt: 46 - Sayı: 6

Daily surveillance with early warning scores help predict hospital mortality in medical wards

Pages
1786–1791
Publication Date
2016-12-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: This study underlines the fact that each physiological variable of EWS may not have the same weight in determining the outcome.

📌 3 Key Takeaways

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Objective & Hypothesis:Background/aim: To analyze the potency of a modified early warning score (EWS) to help predict hospital mortality when used for surveillance in nonacute medical wards.
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Key Findings & Data:Nurses calculated scores for each patient upon admission and every 4 h.
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Conclusion & Impact:Conclusion: This study underlines the fact that each physiological variable of EWS may not have the same weight in determining the outcome.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Acute · admission · early warning score

Abstract

Background/aim: To analyze the potency of a modified early warning score (EWS) to help predict hospital mortality when used for surveillance in nonacute medical wards. Materials and methods: Patients in internal medicine wards were prospectively recruited. First, highest, and last scores; and mean daily score recordings and values were recorded. Nurses calculated scores for each patient upon admission and every 4 h. The last score was the score before death, discharge, or transfer to another ward. The highest scores in total and for each single parameter were used for analysis. Results: Fifty-nine percent of 182 recruited patients had recordings eligible for data analysis. Patients admitted from the emergency room had higher mortality rates than patients admitted from outpatient clinics (15% vs. 1.5%; P = 0.01) as well as patients whose first (40% vs. 4.9%; P = 0.033) and highest scores (18.8% vs. 1.3%; P = 0.003) were equal to or more than 3. The first recorded EWS was not predictive for mortality while the maximum score during the admission period was. Conclusion: This study underlines the fact that each physiological variable of EWS may not have the same weight in determining the outcome.

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Cite This Article

TANRIÖVER, M. D., HALAÇLI, B., SAİT, B., ÖCAL, S., TOPELİ, A. (2016). Daily surveillance with early warning scores help predict hospital mortality in medical wards. Turkish Journal of Medical Sciences, Cilt: 46 - Sayı: 6, 1786–1791. https://ajindex.com/articles/151873

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