Risk Factors for Radiological Progression Within Admissive One Week in the Hospitalized COVID-19 Omicron Variant-Infected Patients

Feng-Feng Zhu,1,* Bin-Bin Gu,1,* Yu-Jia Jin,2,* Lin Yao,3 Lin Zhou,3 Di Zou,1 Jian Ding,1 Teng Zhou,1 Xing-Hua Shen,1 Cheng Chen2 1Intensive Care Unit, The Fifth People’s Hospital of Suzhou, The Affiliated Infectious Disease Hospital of Soochow University, Suzhou, 215000, People’s Republic of China; 2Department of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, 215000, People’s Republic of China; 3Department of Pulmonary, The Fifth People’s Hospital of Suzhou, The Affiliated Infectious Disease Hospital of Soochow University, Suzhou, 215000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xing-Hua Shen, Soochow University Affiliated Infectious Disease Hospital, 10 Guangqian Road, Suzhou, 215000, People’s Republic of China, Tel +8613606217315, Email shenxinghua2010@163.com Cheng Chen, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215000, People’s Republic of China, Tel +8613771775292, Email chencheng@suda.edu.cnPurpose: 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 analy