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?:abstract
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AIM: The purpose of this article was to report the low rates of intensive care unit admission and mortality in intermediate- and high-risk COVID-19 patients, and to share our clinical approach with other colleagues. In addition, we sought to reveal the relationship between myocardial injury and clinical outcomes such as death, intensive care unit uptake and hospital stay, and the relationship between inflammatory parameters and cardiac biomarkers in a cardiovascular perspective. METHODS: Patients admitted to the emergency department in the Department of Internal Medicine, Faculty of Medicine, Istanbul University, with laboratory or clinically and radiologically confirmed COVID-19 were included in this retrospective cross-sectional study, which was conducted from 11 March to 10 April 2020. The demographic (age and gender) and clinical (symptoms, co-morbidities, treatments, complications and outcomes) characteristics, laboratory findings, and results of cardiac examinations (cardiac biomarkers and electrocardiography) of patients during hospitalisation were collected from their medical records by two investigators. Data were analysed using SPSS version 25.0 (IBM). A two-sided p < 0.05 was considered statistically significant. Analysis began on 11 April 2020. RESULTS: Mortality and intensive care unit admission rates were statistically significantly higher in patients with cardiac injury than in those without. There was a positive correlation between levels of high-sensitivity TNT and fibrinogen, D-dimer, ferritin, procalcitonin and C-reactive protein (r = 0.24, p < 0.01; r = 0.37, p < 0.01; r = 0.25, p < 0.01, r = 0.34, p < 0.01; r = 0.31, p < 0.01). CONCLUSIONS: The first general data of our 309 patients regarding low mortality and intensive care admission rates, and particular treatment algorithms specific to our centre should be helpful in determining better treatment strategies in the future. Our study emphasises the importance and frequency of cardiovascular outcomes, and the significance of some cardiac biomarkers in predicting COVID-19 prognosis.
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