Clinical and laboratory predictors of disease severity and outcome in COVID 19 infected patients in Suez Canal University Hospital, single center study from Egypt
Autor: | kholoud Awd, Nader Elnemr, Mohamed Aboelmagd, Mohamed Eida, Fadia Attia, Bassam Salama |
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Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Microbes and Infectious Diseases, Vol 4, Iss 2, Pp 370-382 (2023) |
Druh dokumentu: | article |
ISSN: | 2682-4132 2682-4140 |
DOI: | 10.21608/mid.2023.184185.1441 |
Popis: | Background: The novel corona virus is a high contagious disease, declared by World Health Organization (WHO) as a global pandemic in 2020 with profound impact on morbidity and mortality, assessment of outcomes in infected patients and knowledge of prediction of mortality and morbidity are important. We aimed to assess the clinical and laboratory findings in predicting COVID-19 severity and outcome in patients admitted to Suez Canal University Teaching Hospital. Methodology: This cross-sectional prospective study included 500 confirmed PCR COVID-19 infected patients, selected through random sampling. A structured checklist was used to collect patient data. Results: Mean age was 61.8 years, 56.2% were males, 74.8% had comorbidities. Lung involvement was evident in more than 75% on CT, 17.2% had leukopenia, 42.2% had lymphocytopenia between 5 – 10% and 93% of the patients had elevated neutrophil- lymphocyte ratio. 65.8% had elevated D-dimer, and elevated liver and kidney functions were found in 40.6% and 25% respectively. The mortality rate in studied population was 30.2% and it was significantly associated with old age, hypoxemia, having high involvement of the lungs on CT. Decreased WBC count, high D-dimer level and high NLR associated with severity and increased death rate of the disease. Conclusion: The study revealed many findings with impact on the patient's severity and outcome old age, laboratory findings, CT imaging and need to antiviral therapy the most predicting factors of the severity and prognosis of the patients. |
Databáze: | Directory of Open Access Journals |
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