Performance of Six Clinical Physiological Scoring Systems in Predicting In-Hospital Mortality in Elderly and Very Elderly Patients with Acute Upper Gastrointestinal Bleeding in Emergency Department

Author:

Wu Po-Han1,Hung Shang-Kai2,Ko Chien-An3,Chang Chia-Peng1,Hsiao Cheng-Ting14,Chung Jui-Yuan5ORCID,Kou Hao-Wei6ORCID,Chen Wan-Hsuan7,Hsieh Chiao-Hsuan1,Ku Kai-Hsiang8,Wu Kai-Hsiang1

Affiliation:

1. Department of Emergency Medicine, Chiayi Chang Gung Memorial Hospital, Chiayi County 613, Taiwan

2. Department of Emergency Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan City 333, Taiwan

3. Department of Otorhinolaryngology-Head and Neck Surgery, Chiayi Chang Gung Memorial Hospital, Chiayi County 613, Taiwan

4. Department of Medicine, Chang Gung University, No. 259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 333, Taiwan

5. Department of Emergency Medicine, Cathay General Hospital, Taipei City 106, Taiwan

6. Division of General Surgery, Department of Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan City 333, Taiwan

7. Department of Pediatric, Chiayi Chang Gung Memorial Hospital, Chiayi County 613, Taiwan

8. Department of Emergency Medicine, Sijhih Cathay General Hospital, New Taipei City 221, Taiwan

Abstract

Background and Objectives: The aim of this study is to compare the performance of six clinical physiological-based scores, including the pre-endoscopy Rockall score, shock index (SI), age shock index (age SI), Rapid Acute Physiology Score (RAPS), Rapid Emergency Medicine Score (REMS), and Modified Early Warning Score (MEWS), in predicting in-hospital mortality in elderly and very elderly patients in the emergency department (ED) with acute upper gastrointestinal bleeding (AUGIB). Materials and Methods: Patients older than 65 years who visited the ED with a clinical diagnosis of AUGIB were enrolled prospectively from July 2016 to July 2021. The six scores were calculated and compared with in-hospital mortality. Results: A total of 336 patients were recruited, of whom 40 died. There is a significant difference between the patients in the mortality group and survival group in terms of the six scoring systems. MEWS had the highest area under the curve (AUC) value (0.82). A subgroup analysis was performed for a total of 180 very elderly patients (i.e., older than 75 years), of whom 27 died. MEWS also had the best predictive performance in this subgroup (AUC, 0.82). Conclusions: This simple, rapid, and obtainable-by-the-bed parameter could assist emergency physicians in risk stratification and decision making for this vulnerable group.

Funder

Chang Gung Memorial Hospital

Publisher

MDPI AG

Subject

General Medicine

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