An Evaluation of the National Early Warning Score 2 and the Laboratory Data Decision Tree Early Warning Score in Predicting Mortality in Geriatric Patients.

Autor: Küçükceran K; Emergency Department, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey., Ayrancı MK; Emergency Department, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey., Koçak S; Emergency Department, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey., Girişgin AS; Emergency Department, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey., Dündar ZD; Emergency Department, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey., Ataman S; Emergency Department, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey., Bayındır E; Emergency Department, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey., Karaçadır O; Emergency Department, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey., Tatar İ; Emergency Department, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey., Doğru M; Emergency Department, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey.
Jazyk: angličtina
Zdroj: The Journal of emergency medicine [J Emerg Med] 2024 Mar; Vol. 66 (3), pp. e284-e292. Date of Electronic Publication: 2023 Oct 14.
DOI: 10.1016/j.jemermed.2023.10.012
Abstrakt: Background: Due to the high rate of geriatric patient visits, scoring systems are needed to predict increasing mortality rates.
Objective: In this study, we aimed to investigate the in-hospital mortality prediction power of the National Early Warning Score 2 (NEWS2) and the Laboratory Data Decision Tree Early Warning Score (LDT-EWS), which consists of frequently performed laboratory parameters.
Methods: We retrospectively analyzed 651 geriatric patients who visited the emergency department (ED), were not discharged on the same day from ED, and were hospitalized. The patients were categorized according to their in-hospital mortality status. The NEWS2 and LDT-EWS values of these patients were calculated and compared on the basis of deceased and living patients.
Results: Median (interquartile range [IQR]) NEWS2 and LDT-EWS values of the 127 patients who died were found to be statistically significantly higher than those of the patients who survived (NEWS2: 5 [3-8] vs. 3 [1-5]; p < 0.001; LDT-EWS: 8 [7-10] vs. 6 [5-8]; p < 0.001). In the receiver operating characteristic curve analysis, the NEWS2, LDT-EWS, and NEWS2+LDT-EWS-formed by the sum of the two scoring systems-resulted in 0.717, 0.705, and 0.775 area under curve values, respectively.
Conclusions: The NEWS2 and LDT-EWS were found to be valuable for predicting in-hospital mortality in geriatric patients. The power of the NEWS2 to predict in-hospital mortality increased when used with the LDT-EWS.
Competing Interests: Declaration of competing interest None.
(Copyright © 2023 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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