ABSTRACT
Purpose: Recently, the SARS-CoV-2 Omicron variant was identified as responsible for a novel wave of COVID-19 worldwide. We perform a retrospective study to identify potential risk factors contributing to radiological progression in the COVID-19 patients due to the Omicron variant infection. These findings would provide guiding information for making clinical decisions that could improve the Omicron infection prognosis and reduce disease-related death. Methods: This is a retrospective cohort study from a single center in China. According to the radiological change within admissive one week, enrolled cases were divided into two groups: the progressive (1w-PD) and the stable or improved disease (1w-non-PD). Separate analyses were performed on patients stratified into subgroups using the Mann-Whitney U-test, the Fisher exact test, or the Chi-squared test and a multivariable logistic regression analysis. Results: Both the 1w-non-PD and 1w-PD cohorts displayed comparable asymptomatic infection, have similar underlying disease, impairment in respiratory function, coagulation dysfunction, tissue injury, SARS-CoV-2 viral load, and disease severity. However, the 1w-PD cohort was more inclined to cluster in populations presented with age between 41 and 65, higher CURB-65 scores, undetectable SARS-CoV-2 IgG, and lung affection. Based on the multiple logistic regression analysis, complicated bilateral and ground-glass opacities (GGOs) like pneumonia at admission were independent risk factors to radiological progression within admissive one week. Conclusion: This study provided preliminary data regarding disease progression in Omicron-infected patients that indicated the development of pneumonia in the context of Omicron infection was worthy of potential risk factors.
ABSTRACT
Background and Objectives: Although the pathogenesis and treatment of coronavirus disease 2019 (COVID-19) have been gradually revealed, the risk for re-emergence of coronavirus nucleic acids in recovered patients remains poorly understood. Hence, this study evaluated the risk predictors associated with re-positivity for virus nucleic acid. Methods: Between February 1 and March 20, 2020, we retrospectively reviewed the clinical epidemiological data of 129 COVID-19 patients who were treated at Zhongxiang People's Hospital of Hubei Province in China. Subsequently, a risk prediction model for the re-positivity of virus nucleic acid was developed, and a receiver operating characteristic (ROC) curve was drawn for further validation. Results: In this study, the rate of re-positivity for virus nucleic acid was 17.8% (23/129) where all re-positivity cases were asymptomatic. The median time interval from discharge to nucleic acid re-positivity to discharge after being cured again was 11.5 days (range: 7-23 days). Multivariate logistic regression analysis showed that leukocytopenia [odds ratio (OR) 7.316, 95% confidence interval (CI) 2.319-23.080, p = 0.001], prealbumin < 150 mg/L (OR 4.199, 95% CI 1.461-12.071, p = 0.008), and hyperpyrexia (body temperature >39°C, OR 4.643, 95% CI 1.426-15.117, p = 0.011) were independent risk factors associated with re-positivity. The area under the ROC curve was 0.815 (95% CI, 0.729-0.902). Conclusion: COVID-19 patients with leukocytopenia, low prealbumin level, and hyperpyrexia are more likely to test positive for virus nucleic acid after discharge. Timely and effective treatment and appropriate extension of hospital stays and quarantine periods may be feasible strategies for managing such patients.
ABSTRACT
BACKGROUND: The outbreak of COVID-19 has caused ever-increasing attention and public panic all over the world. Until now, data are limited about the risk factors to virus shedding in COVID-19 infected patients. METHODS: In this retrospective study, data were collected from 87 patients hospitalized with COVID-19 infection in Suzhou. Using Cox proportional hazards regression and Kaplan-Meier survival analysis, the risk factors to COVID-19 RNA shedding was to be established according to demographic information, clinical characteristics, epidemiological history, antiviral medicine and corticosteroid administration. RESULTS: The median duration of COVID-19 RNA shedding from admission was 13.11 ± 0.76 days. There was no significant difference in viral shedding duration in terms of gender, age, history of Hubei province stay, characteristics of chest CT on admission, lymphocytopenia and clinical severity. By Cox proportional hazards model, excessive 200 mg cumulative corticosteroid (HR, 3.425 [95% CI, 1.339-7.143]), time from illness onset to hospitalization (<5 days) (HR, 2.503 [95% CI, 1.433-4.371]) and arbidol-included therapy (HR, 2.073 [95% CI, 1.185-3.626]) were the independent risk factors to delay COVID-19 RNA shedding. Besides of excessive 200 mg of cumulative corticosteroid (HR, 2.825 [95% CI, 1.201-6.649]), admission within 5 days from illness onset (HR, 2.493 [95% CI, 1.393-4.462]) and arbidol-included therapy (HR, 2.102 [95% CI, 1.073-4.120]), lymphocytopenia (HR, 2.153 [95% CI, 1.097-4.225]) was further identified as another unfavorable factor to 10-day viral shedding. CONCLUSIONS: The potential risk factors could help clinicians to identify patients with delayed viral shedding, thereby providing the rational strategy of treatment and optimal anti-viral interventions.