Mortality Predictors in Patients Diagnosed with COVID-19 in the Emergency Department: ECG, Laboratory and CT
<i>Background and Objectives</i>: The aim of this study was to investigate parameters that can be used to predict mortality in patients diagnosed with COVID-19 in the emergency department (ED). <i>Materials and Methods</i>: Patients diagnosed with COVID-19 in the ED were incl...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Medicina |
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| Online Access: | https://www.mdpi.com/1648-9144/57/6/629 |
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| author | Aslı Türkay Kunt Nalan Kozaci Ebru Torun |
| author_facet | Aslı Türkay Kunt Nalan Kozaci Ebru Torun |
| author_sort | Aslı Türkay Kunt |
| collection | DOAJ |
| description | <i>Background and Objectives</i>: The aim of this study was to investigate parameters that can be used to predict mortality in patients diagnosed with COVID-19 in the emergency department (ED). <i>Materials and Methods</i>: Patients diagnosed with COVID-19 in the ED were included in this prospective study. The patients were divided into two groups. The surviving patients were included in Group 1 (survivors), and the patients who died were included in Group 2 (non-survivors). The electrocardiogram (ECG), laboratory results and chest computerized tomography (CCT) findings of the two groups were compared. The CCT images were classified according to the findings as normal, mild, moderate and severe. <i>Results</i>: Of the 419 patients included in the study, 347 (83%) survived (survivor) and 72 (17%) died (non-survivor). The heart rate and respiratory rate were found to be higher, and the peripheral oxygen saturation (SpO<sub>2</sub>) and diastolic blood pressure (DBP) were found to be lower in the non-survivor patients. QRS and corrected QT interval (QTc) were measured as longer in the non-survivor patients. In the CCT images, 79.2% of the non-survivor patients had severe findings, while 11.5% of the survivor patients had severe findings. WBC, neutrophil, NLR, lactate, D-dimer, fibrinogen, C- Reactive Protein (CRP), urea, creatinine, creatine kinase-MB (CK-MB) and hs-Troponin I levels were found to be higher and partial pressure of carbon dioxide (PCO<sub>2)</sub>, base excess (BE), bicarbonate (HCO<sub>3)</sub>, lymphocyte eosinophil levels were found to be lower in non-survivor patients. The highest AUC was calculated at the SpO<sub>2</sub> level and the eosinophil level. <i>Conclusions</i>: COVID-19 is a fatal disease whose mortality risk can be estimated when the clinical, laboratory and imaging studies of the patients are evaluated together in the ED. SpO<sub>2</sub> that is measured before starting oxygen therapy, the eosinophil levels and the CT findings are all important predictors of mortality risk. |
| first_indexed | 2024-03-10T10:20:39Z |
| format | Article |
| id | doaj.art-9cf9225abc614967befb0c4f9dc0c778 |
| institution | Directory Open Access Journal |
| issn | 1010-660X 1648-9144 |
| language | English |
| last_indexed | 2024-03-10T10:20:39Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Medicina |
| spelling | doaj.art-9cf9225abc614967befb0c4f9dc0c7782023-11-22T00:27:13ZengMDPI AGMedicina1010-660X1648-91442021-06-0157662910.3390/medicina57060629Mortality Predictors in Patients Diagnosed with COVID-19 in the Emergency Department: ECG, Laboratory and CTAslı Türkay Kunt0Nalan Kozaci1Ebru Torun2Department of Emergency Medicine, Faculty of Medicine, Alanya Alaaddin Keykubat University, Antalya 07450, TurkeyDepartment of Emergency Medicine, Faculty of Medicine, Alanya Alaaddin Keykubat University, Antalya 07450, TurkeyDepartment of Radiology, Faculty of Medicine, Alanya Alaaddin Keykubat University, Antalya 07450, Turkey<i>Background and Objectives</i>: The aim of this study was to investigate parameters that can be used to predict mortality in patients diagnosed with COVID-19 in the emergency department (ED). <i>Materials and Methods</i>: Patients diagnosed with COVID-19 in the ED were included in this prospective study. The patients were divided into two groups. The surviving patients were included in Group 1 (survivors), and the patients who died were included in Group 2 (non-survivors). The electrocardiogram (ECG), laboratory results and chest computerized tomography (CCT) findings of the two groups were compared. The CCT images were classified according to the findings as normal, mild, moderate and severe. <i>Results</i>: Of the 419 patients included in the study, 347 (83%) survived (survivor) and 72 (17%) died (non-survivor). The heart rate and respiratory rate were found to be higher, and the peripheral oxygen saturation (SpO<sub>2</sub>) and diastolic blood pressure (DBP) were found to be lower in the non-survivor patients. QRS and corrected QT interval (QTc) were measured as longer in the non-survivor patients. In the CCT images, 79.2% of the non-survivor patients had severe findings, while 11.5% of the survivor patients had severe findings. WBC, neutrophil, NLR, lactate, D-dimer, fibrinogen, C- Reactive Protein (CRP), urea, creatinine, creatine kinase-MB (CK-MB) and hs-Troponin I levels were found to be higher and partial pressure of carbon dioxide (PCO<sub>2)</sub>, base excess (BE), bicarbonate (HCO<sub>3)</sub>, lymphocyte eosinophil levels were found to be lower in non-survivor patients. The highest AUC was calculated at the SpO<sub>2</sub> level and the eosinophil level. <i>Conclusions</i>: COVID-19 is a fatal disease whose mortality risk can be estimated when the clinical, laboratory and imaging studies of the patients are evaluated together in the ED. SpO<sub>2</sub> that is measured before starting oxygen therapy, the eosinophil levels and the CT findings are all important predictors of mortality risk.https://www.mdpi.com/1648-9144/57/6/629computerized tomographyCOVID-19emergency medicinelaboratorymortality |
| spellingShingle | Aslı Türkay Kunt Nalan Kozaci Ebru Torun Mortality Predictors in Patients Diagnosed with COVID-19 in the Emergency Department: ECG, Laboratory and CT Medicina computerized tomography COVID-19 emergency medicine laboratory mortality |
| title | Mortality Predictors in Patients Diagnosed with COVID-19 in the Emergency Department: ECG, Laboratory and CT |
| title_full | Mortality Predictors in Patients Diagnosed with COVID-19 in the Emergency Department: ECG, Laboratory and CT |
| title_fullStr | Mortality Predictors in Patients Diagnosed with COVID-19 in the Emergency Department: ECG, Laboratory and CT |
| title_full_unstemmed | Mortality Predictors in Patients Diagnosed with COVID-19 in the Emergency Department: ECG, Laboratory and CT |
| title_short | Mortality Predictors in Patients Diagnosed with COVID-19 in the Emergency Department: ECG, Laboratory and CT |
| title_sort | mortality predictors in patients diagnosed with covid 19 in the emergency department ecg laboratory and ct |
| topic | computerized tomography COVID-19 emergency medicine laboratory mortality |
| url | https://www.mdpi.com/1648-9144/57/6/629 |
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