OBJECTIVE: The 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 METHODS: This 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. RESULTS: A 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. CONCLUSION: The MEWS and VIEWS are powerful scoring systems that are easy-to-use for predicting the hospitalization and in-hospital mortality of geriatric ED patients.
OBJECTIVE: The 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 METHODS: This 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. RESULTS: A 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. CONCLUSION: The MEWS and VIEWS are powerful scoring systems that are easy-to-use for predicting the hospitalization and in-hospital mortality of geriatric ED patients.
Authors: Susanna E Hofman; Jacinta A Lucke; Noor Heim; Jelle de Gelder; Anne J Fogteloo; Christian Heringhaus; Bas de Groot; Anton J M de Craen; Gerard Jan Blauw; Simon P Mooijaart Journal: BMC Emerg Med Date: 2016-07-13
Authors: Maaike A Pouw; Agneta H Calf; Barbara C van Munster; Jan C Ter Maaten; Nynke Smidt; Sophia E de Rooij Journal: BMJ Open Date: 2018-03-27 Impact factor: 2.692
Authors: James M Walston; Daniel Cabrera; Shawna D Bellew; Marc N Olive; Christine M Lohse; M Fernanda Bellolio Journal: West J Emerg Med Date: 2016-04-26
Authors: Bas de Groot; Frank Stolwijk; Mats Warmerdam; Jacinta A Lucke; Gurpreet K Singh; Mo Abbas; Simon P Mooijaart; Annemieke Ansems; Laura Esteve Cuevas; Douwe Rijpsma Journal: Scand J Trauma Resusc Emerg Med Date: 2017-09-11 Impact factor: 2.953