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Year : 2021  |  Volume : 10  |  Issue : 1  |  Page : 192-198

Prediction of hospital outcome in emergency medical admissions using modified early warning score (MEWS): Indian experience

1 Department of General Medicine, MMIMSR, Mullana, Haryana, India
2 Department of Medicine, MMIMSR, Mullana, Haryana, India

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Dr. Mini Bhatnagar
930, Sector 40 A, Chandigarh - 160 036
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jfmpc.jfmpc_1426_20

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Objective: To evaluate the applicability of modified early warning (MEWS) Score for prediction of hospital outcomes of medical emergency patients. Design: Prospective hospital based observational study. Setting: A tertiary care level medicine emergency unit in a medical college of North India. Study Population: 300 Patients admitted in medicine emergency. Method: Patients of both sexes of age more than 18 years who were admitted in medical emergency unit at MMIMSR, Ambala were evaluated. Patients who were in cardiac arrest at arrival and those who died within the first 24 hours were excluded and 300 patients were included. Modified Early Warning Score based on physiological parameters was recorded at admission for each patient and monitored over the next 24 hours in the emergency unit. Hospital outcome of the patient in terms of mortality, need for critical care, prolonged stay and uneventful discharge were recorded and correlated with MEWS scores over the first 24 hours in the emergency unit. Receiver Operating Characteristic (ROC) curves was generated to evaluate the utility of MEWS as a tool to predict patient outcome in medical emergency setting. Result: Of the 300 patients studied, the mean age of patients was 49 years, and the majority of the patients were male (61%). A MEWS Score of >5 at 24 hours of admission was associated significantly with in-hospital mortality of patients (p < 0.0001). The ROC (Receiver Operator Characteristic) curve revealed that in those patients who had a 24 hours MEWS >/= 5, the area under curve was (AUC) = 0.9. (95% CI: 0.95-0.98). Thus, MEWS was an effective predictor of in hospital mortality with sensitivity (78%) and specificity (94%). Conclusion: MEWS, a scoring system based on easily recordable physiological parameters can be used as an effective tool to triage and monitor patients in medical emergency units, to identify patients who are at greater risk of clinical deterioration and need close monitoring or early transfer for critical care or other timely interventions. Thus, application of MEWS in medical emergency units can be a useful tool to improve patient care, ensure optimal utilization of resources and prevent inappropriate discharge or neglect of sick patients.

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