• Kadir Küçükceran, Mustafa Kürşat Ayrancı, Sedat Koçak, Abdullah Sadık Girişgin, Zerrin Defne Dündar, Sami Ataman, Enes Bayındır, Oğuz Karaçadır, İbrahim Tatar, and Mustafa Doğru.
• Emergency Department, Necmettin Erbakan University, Meram School of Medicine, Konya, Turkey.
• J Emerg Med. 2024 Mar 1; 66 (3): e284e292e284-e292.

BackgroundDue to the high rate of geriatric patient visits, scoring systems are needed to predict increasing mortality rates.ObjectiveIn 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.MethodsWe 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.ResultsMedian (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.ConclusionsThe 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.Copyright © 2023 Elsevier Inc. All rights reserved.

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