An Evaluation of the National Early Warning Score 2 and the Laboratory Data Decision Tree Early Warning Score in Predicting Mortality in Geriatric Patients
Copyright © 2023 Elsevier Inc. All rights reserved..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:66 |
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| Enthalten in: |
The Journal of emergency medicine - 66(2024), 3 vom: 24. März, Seite e284-e292 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Küçükceran, Kadir [VerfasserIn] |
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| Links: |
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| Themen: |
Early warning score |
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| Anmerkungen: |
Date Completed 20.03.2024 Date Revised 20.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jemermed.2023.10.012 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM367690926 |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 Elsevier Inc. All rights reserved. | ||
| 520 | |a BACKGROUND: Due to the high rate of geriatric patient visits, scoring systems are needed to predict increasing mortality rates | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a early warning score | |
| 650 | 4 | |a geriatrics | |
| 650 | 4 | |a in-hospital mortality | |
| 650 | 4 | |a laboratory diagnosis | |
| 700 | 1 | |a Ayrancı, Mustafa Kürşat |e verfasserin |4 aut | |
| 700 | 1 | |a Koçak, Sedat |e verfasserin |4 aut | |
| 700 | 1 | |a Girişgin, Abdullah Sadık |e verfasserin |4 aut | |
| 700 | 1 | |a Dündar, Zerrin Defne |e verfasserin |4 aut | |
| 700 | 1 | |a Ataman, Sami |e verfasserin |4 aut | |
| 700 | 1 | |a Bayındır, Enes |e verfasserin |4 aut | |
| 700 | 1 | |a Karaçadır, Oğuz |e verfasserin |4 aut | |
| 700 | 1 | |a Tatar, İbrahim |e verfasserin |4 aut | |
| 700 | 1 | |a Doğru, Mustafa |e verfasserin |4 aut | |
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