A Tertiary Care Hospital Experience During the COVID-19 Pandemic
Introduction: Early detection of the severity of COVID-19 disease is important for patient prognosis and effective use of hospital capacity. Early detection of critical patients and providing supportive treatment is the main goal of disease management. In this study, we evaluated demographic, clinic...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Bilimsel Tip Yayinevi
2021-06-01
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| Series: | Flora Infeksiyon Hastalıkları ve Klinik Mikrobiyoloji Dergisi |
| Subjects: | |
| Online Access: | http://floradergisi.org/managete/fu_folder/2021-02/257-266%20Mine%20Filiz.pdf |
| Summary: | Introduction: Early detection of the severity of COVID-19 disease is important for patient prognosis and effective use of hospital capacity. Early detection of critical patients and providing supportive treatment is the main goal of disease management. In this study, we evaluated demographic, clinical, laboratory and radiological findings in COVID-19 patients and aimed to find risk factors associated with poor prognosis.
Materials and Methods: A total of 579 cases hospitalized with the diagnosis of COVID-19 were evaluated retrospectively. The diagnosis of COVID-19 was confirmed by polymerase chain reaction (PCR) positivity or typical clinical, laboratory and radiological findings. The study population was divided into groups according to the World Health Organization (WHO) COVID-19 disease severity classification. Significant risk factors associated with severe disease and mortality were investigated by comparing the demographic, clinical, laboratory and radiological data of these groups.
Results: Mean age of the 579 cases was 54 ± 18.25, and 321 of them (55.4%) were male. Severe disease was detected in 131 (22.6%) patients and mortality rate was %8.29. The most common comorbidities were hypertension (31.8%), diabetes mellitus (18.5%) and coronary artery disease (17.8%), respectively. The most common symptoms at the time of admission to the hospital were cough (40.7%), fever (38°C; 33.6%) and shortness of breath (26.3%). Age, coronary artery disease and shortness of breath, neutrophil count, urea, CRP, ferritin, Pro-BNP, fibronogen, IL-6 values were found to be predictive variables for severe disease. Age, presence of shortness of breath, urea, ferritin and Pro-BNP values were found to be independent predictive variables for severe disease, and the cut-off points were calculated for these variables (age 59.5, urea 33.5 mg/dL, ferritin 50.8 µg/L and Pro-BNP 881 pg/mL).
Conclusion: Some predictive factors were demonstrated to detect severe disease in COVID-19 patients. It is important to predict poor prognosis based on these factors. It provides early detection of critical patients and it will be a guide for reducing mortality rates in these patients with effective treatment |
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| ISSN: | 1300-932X 1300-932X |