التفاصيل البيبلوغرافية
| العنوان: |
Clinical Characteristics and Analysis of Associated Risk Factors in Patients with Severe and Non-Severe COVID-19 Infection. |
| المؤلفون: |
Zhou, Yong, Wang, Zhen, Chen, Fei, Xiong, Ying-Xia, Wang, Wei, Huang, Jun-Min, Fang, Wei |
| المصدر: |
Infection & Drug Resistance; Apr2024, Vol. 17, p1539-1544, 6p |
| مصطلحات موضوعية: |
COVID-19, DISEASE risk factors, MULTIVARIATE analysis, RISK assessment, SYMPTOMS |
| مستخلص: |
Our aim was to highlight the clinical characteristics and determine the risk factors associated with severe and non-severe COVID-19 infection. Study Method: A retrospective review was conducted on clinical data obtained from patients with COVID-19 infection, admitted to the emergency department between November 2022 and January 2023. Total of 1684 participants were categorized into severe (312 cases,18.53%) and non-severe (1,372 cases,81.47%) cohorts. Logistic regression was utilized for multivariate analysis, with a P-value less than 0.05 signifying a significant difference between the groups. Results: The study consisted of 952 males (56.53%) and 732 females (43.47%) participants. The age distribution ranged from 18 to 93 years in both cohorts. There were statistically significant differences between the clinical symptoms of the severe and non-severe cohorts (P < 0.05). According to the multivariate statistical analysis, patients with more pronounced clinical manifestations had significantly elevated values related to age(P < 0.05), diabetes(P < 0.01), hypertension(P < 0.01), C-reactive protein (CRP) (P < 0.05), and lactate dehydrogenase (LDH) (P < 0.01) as compared to those presenting with milder symptoms. Conclusion: The primary clinical presentations in both the cohorts were mostly similar. Predominant factors contributing to the severity of COVID-19 infection were age, diabetes, hypertension, elevated CRP levels, and increased LDH. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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