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Observational Study
Modified Early Warning Score and VitalPac Early Warning Score in geriatric patients admitted to emergency department.
- Zerrin Defne Dundar, Mehmet Ergin, Mehmet A Karamercan, Kursat Ayranci, Tamer Colak, Alpay Tuncar, Basar Cander, and Mehmet Gul.
- aEmergency Medicine Department, Meram Faculty of Medicine, Necmettin Erbakan University, Konya bEmergency Medicine Department, Faculty of Medicine, Gazi University, Ankara, Turkey.
- Eur J Emerg Med. 2016 Dec 1; 23 (6): 406-412.
ObjectiveThe aim of this study was to evaluate the value of the Modified Early Warning Score (MEWS) and the VitalPac Early Warning Score (VIEWS) in predicting hospitalization and in-hospital mortality in geriatric emergency department (ED) patients.Patients And MethodsThis prospective, single-centered observational study was carried out over 1 month at the ED of a university hospital in patients 65 years of age and older presenting to the ED. The vital parameters of the patients measured on admission to ED were recorded. The MEWS and VIEWS were calculated using the recorded physiological parameters of the patients. Hospitalization and in-hospital mortality were used as the primary outcomes.ResultsA total of 671 patients included in the study. The median age of the patients was 75 (11) years, and 375 (55.9%) were men. The MEWS is effective for discriminating patient groups that have been discharged from ED, admitted to a ward and admitted to ICU [1 (2) vs. 1 (1) vs. 3 (3), respectively, P<0.001]. The VIEWS is also effective for discriminating patient groups that have been discharged from ED, admitted to a ward, and admitted to ICU [2 (3) vs. 5 (5) vs. 8 (8), respectively, P<0.001]. The AUCs of the MEWS and VIEWS were 0.727 [95% confidence interval (CI) 0.689-0.765] and 0.756 (95% CI 0.720-0.792) in predicting hospitalization, respectively. The AUCs of the MEWS and VIEWS were 0.891 (95% CI 0.844-0.937) and 0.900 (95% CI 0.860-0.941) in predicting in-hospital mortality, respectively.ConclusionThe MEWS and VIEWS are powerful scoring systems that are easy-to-use for predicting the hospitalization and in-hospital mortality of geriatric ED patients.
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