Clinical Characteristics and Analysis of Associated Risk Factors in Patients with Severe and Non-Severe COVID-19 Infection

Objective: 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.