MeasurementsAge, sex, vital signs and medical history of all patients included in the study were recorded in a digital form. Outcome measuresOur primary aim in this study is to determine the relationship between SI and 30-day mortality. Our secondary aim is to determine the relationship between mortality and the data (SI, SpO2 and chronic diseases) that can be obtained in ED triage in COVID −19 patients. Statistical analysisIBM SPSS Statistics 25 (Chicago, IL) software was used for statistical analysis. CHAID analysis was used in Decision Tree methods. p < 0.01 was considered statistically significant. Within the scope of the research, the data obtained in the triage and the literature were taken into consideration while determining the variables related to the regression model

The existence of a new Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) was first reported in China and later spread throughout the world straining the health systems of many countries. 1 The viral pneumonia associated with SARS-CoV-2 has been officially named Coronavirus disease 2019 (COVID-19). 2 During the pandemic period, difficulties were experienced in the provision of health services because of excessive patient admissions in hospitals and emergency departments (EDs).In the first reports, it was stated that ~25% of patients required an intensive care unit (ICU). 3 Mortality in hospitalised COVID-19

In December 2019, a novel coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified in Wuhan, China, and it spread rapidly all over the world. 1 The World Health Organization (WHO) gave the name coronavirus disease-19 to the resultant disease and declared it to be an epidemic. 2 The first polymerase chain reaction (PCR)-positive COVID-19 case in Turkey was detected on March 11, 2020. 3 In some studies in the literature, it was reported that 14% of COVID-19 patients developed severe pneumonia, one in 20 patients had an intensive care unit (ICU) requirement and approximately 66% of critically ill patients died. [4][5][6] High mortality rates among critically ill patients and rapidly spreading disease raise concerns about ICU requirements, which may place pressure on healthcare system resources. 7 In order to make optimal treatment decisions, prognostic predictors of mortality among COVID-19 patients need to be identified in order to help assess the severity of the condition.Compared with the normal range, lower white blood cell (WBC) and lymphocyte counts but higher neutrophil counts have been found in COVID-19 patients. 8,9 In some recent studies, it has been reported that the neutrophil-to-lymphocyte ratio (NLR) is an independent prognostic factor for predicting outcomes of critical illness and in-hospital mortality among COVID-19 patients. 10,11 OBJECTIVEOur aim in this study was to determine the relationship between the prognosis and the NLR among COVID-19 patients.

Background and objectives: In this study, the accuracy of point-of-care ultrasonography (POCUS) was compared to radiography (XR) in the diagnosis of fractures, the determination of characteristics of the fractures, and treatment selection of fractures in patients admitted to the emergency department (ED) due to trauma and suspected long bone (LB) fractures. Materials and Methods: The patients were included in the study, who were admitted to ED due to trauma, and had physical examination findings suggesting the presence of fractures in LB (humerus, radius, ulna, femur, tibia, and fibula). The patients were evaluated by two emergency physicians (EP) in ED. The first EP examined LBs with POCUS and the second EP examined them with XR. LBs were evaluated on the anterior, posterior, medial, and lateral surfaces and from the proximal joint to the distal one (shoulder, elbow, wrist, hip, knee, and ankle joint) in both longitudinal and transverse axes with POCUS. Results: A total of 205 patients with suspected LB fractures were included in the study. LB fractures were determined in 99 patients with XR and in 105 patients with POCUS. The sensitivity, specificity, positive predictive value, negative predictive value of POCUS in determining the fractures were 99%, 93%, 93%, and 99%, respectively, compared to XR. Compared to XR, POCUS was able to determine 100% of fissure type fractures (kappa (κ) value: 0.765), 83% of linear fractures (κ: 0.848), 92% of fragmented fractures(κ: 0.756), 67% of spiral fractures (κ:0.798), 75% of avulsion type fractures (κ: 0.855), and 100% of full separation type fractures (κ: 0.855).Conclusions: This study has demonstrated that POCUS has a high sensitivity in diagnosing LB fractures. POCUS has a high sensitivity in identifying fracture characteristics. POCUS can be used as an alternative imaging method to XR in the diagnosis of LB fractures and in the determination of fracture characteristics.

Objective: To assess and identify the risk of prolonged QT about hydroxychloroquine (HQ) and azithromycin (AZ) used in the treatment of patients with COVID-19.