Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objective: There are a few scoring systems in emergency departments (ED) to establish critically ill patients quickly and properly and to predict hospitalisation. We aim to compare the efficacy of Modified Early Warning Score (MEWS) and Rapid Emergency Medicine Score (REMS) on in-hospital mortality, and as predictor of hospitalisation in general medical and surgical patients admitted to ED.
Methods: This is a prospective, multicentre and observational cohort study. The study included general medical and surgical patients admitted to the EDs of three education and research hospitals during a period of 6 months. The primary outcome of the study is the admission of the patient to a ward/an intensive care unit (ICU)/high dependency unit (HDU) and in-hospital mortality. Receiver operating characteristics (ROC) curve analysis was performed to evaluate and compare the performances of two scores.
Results: Total patients were 2000 (51.95% male, 48.05% female). The mean age was 61.41±18.92. Median MEWS and REMS values of the patients admitted to the ICU/HDU from ED were 1 and 6, respectively; and there was a significant difference in terms of REMS values, compared with patients discharged from ED. REMS (area under the curve (AUC): 0.642) was found to have a better predictive strength than MEWS (AUC: 0.568) in discriminating in-patients and discharged patients. Additionally, REMS (0.707) was superior to MEWS (AUC 0.630) in terms of predicting in-hospital mortality of patients presenting to ED.
Conclusions: The efficiency of REMS was found to be superior to MEWS as a predictor of in-hospital mortality and hospitalisation in medical and surgical patients admitted to ED.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1136/emermed-2013-202444 | DOI Listing |
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