Modified early warning score with rapid lactate level in critically ill medical patients: the ViEWS-L score

2012 ◽  
Vol 30 (2) ◽  
pp. 123-129 ◽  
Author(s):  
Sion Jo ◽  
Jae Baek Lee ◽  
Young Ho Jin ◽  
Tae Oh Jeong ◽  
Jae Chol Yoon ◽  
...  
2006 ◽  
Vol 88 (6) ◽  
pp. 571-575 ◽  
Author(s):  
J Gardner-Thorpe ◽  
N Love ◽  
J Wrightson ◽  
S Walsh ◽  
N Keeling

INTRODUCTION The Modified Early Warning Score (MEWS) is a simple, physiological score that may allow improvement in the quality and safety of management provided to surgical ward patients. The primary purpose is to prevent delay in intervention or transfer of critically ill patients. PATIENTS AND METHODS A total of 334 consecutive ward patients were prospectively studied. MEWS were recorded on all patients and the primary end-point was transfer to ITU or HDU. RESULTS Fifty-seven (17%) ward patients triggered the call-out algorithm by scoring four or more on MEWS. Emergency patients were more likely to trigger the system than elective patients. Sixteen (5% of the total) patients were admitted to the ITU or HDU. MEWS with a threshold of four or more was 75% sensitive and 83% specific for patients who required transfer to ITU or HDU. CONCLUSIONS The MEWS in association with a call-out algorithm is a useful and appropriate risk-management tool that should be implemented for all surgical in-patients.


2018 ◽  
Vol 25 (3) ◽  
pp. 146-151 ◽  
Author(s):  
Leong Shian Peng ◽  
Azhana Hassan ◽  
Aida Bustam ◽  
Muhaimin Noor Azhar ◽  
Rashidi Ahmad

Background: Modified early warning score has been validated in many uses in the emergency department. We propose that the modified early warning score performs well in predicting the need of lifesaving interventions in the emergency department, as a predictor of patients who are critically ill. Objective: The study aims to evaluate the use of modified early warning score in sorting out critically ill patients in the emergency department. Methods: The patients’ demographic data and first vital signs (blood pressure, heart rate, temperature, respiratory rate, and level of consciousness) were collected prospectively. Individual modified early warning score was calculated. The outcome was a patient received one or more lifesaving interventions toward the end of stay in emergency department. Multivariate logistic regression analysis was utilized to assess the association between modified early warning score and other potential predictors with outcome. Results: There are a total of 259 patients enrolled into the study. The optimal modified early warning score in predicting lifesaving intervention was ≥4 with a sensitivity of 95% and specificity of 81%. Modified early warning score ≥4 (odds ratio = 96.97, 95% confidence interval = 11.82–795.23, p < 0.001) was found to significantly increase the risk of receiving lifesaving intervention in the emergency department. Conclusion: Modified early warning score is found to be a good predictor for patients in need of lifesaving intervention in the emergency department.


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