Özet:

Objective: The current study predicts their clinical termination and the mortality rate at the end of the first-month with rapid scoring systems such as rapid emergency medicine score (REMS) and modified early warning score (MEWS) of Coronavirus disease-2019 (COVID-19) patients admitted to the emergency department. Methods: A total of 392 patients diagnosed with COVID-19 admitted to the emergency department in 1-month included in the study. REMS and MEWS were calculated for each case. Demographic data of patients, clinical outcomes [discharge, service or intensive care unit (ICU) hospitalization] and first-month mortality were analysed with receiver operating characteristic (ROC) curves to determine the cut-off value based on these scores. Results: The 1-month mortality rate of our patients was 4.3% (n=17). REMS was higher in the mortality of patients who are (7.24±3.77) with COVID-19 than survival (2.87±3.09), and there was a statistically significant difference between them (p<0.01). Similarly, the average of the MEWS was higher in the mortality of patients (2.76±1.86) than in patients who are survival (1.65±1.35), and there was a statistically significant difference (p<0.01). The REMS of patients admitted to the service was higher than that of patients discharged (p<0.01). When the REMS score was determined as 3 cut-off value in ROC analysis, service hospitalization was 5 times higher in patients with a REMS score of 3 and above than in those who were discharged (odds ratio: 1: 5.022 95% confidence interval: 3.088-8.168). Also, REMS and MEWS were higher in ICU patients than in discharged patients (p<0.01). Conclusion: In predicting the 1-month mortality of patients with ED diagnosed with COVID-19, REMS, and MEWS scoring systems can be useful and guiding in determining the patients who need hospitalization for emergency physicians. The use of these scoring systems in emergency departments can help predict the clinical outcomes of patients at the time of the initial evaluation and can also be a practical method for predicting the prognosis of the patients.

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