التفاصيل البيبلوغرافية
| العنوان: |
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. |
| المؤلفون: |
Wu, Po-Han, Hung, Shang-Kai, Ko, Chien-An, Chang, Chia-Peng, Hsiao, Cheng-Ting, Chung, Jui-Yuan, Kou, Hao-Wei, Chen, Wan-Hsuan, Hsieh, Chiao-Hsuan, Ku, Kai-Hsiang, Wu, Kai-Hsiang |
| المصدر: |
Medicina (1010660X); Mar2023, Vol. 59 Issue 3, p556, 11p |
| مصطلحات موضوعية: |
OLDER patients, HOSPITAL mortality, GASTROINTESTINAL hemorrhage, HOSPITAL emergency services, GROUP decision making, OLDER people |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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