(Fig. 1 Set here)
Statistics
CT data was analyzed by 3D Slicer software. GGO, consolidation, and the total lung volume were estimated. And the ratio for corresponding pattern to total lung volume were calculated. Statistics and graphing were performed using R software (version 4.13,https://www.r-project.org ) and extension packages. Continuous variables compared using the Mann-Whitney U test or t test. Continuous variables with Gaussian distribution were expressed as mean value ± standard deviation (mean ± SD ), and skewed distribution as median (interquartile range, IQR ). Categorical variables were expressed as a percentage (%). The Spearman correlation test was used for correlations between quantitative CT features versus laboratory findings. Receiver operating characteristic curve (ROC) were used to detect sensitivity and specificity for virus load to predict incidence of pneumonia events. The relationship between CT patterns and oxygenation, PaCO2 level and inflammatory response were explored by using multiple linear regression. All statistical tests were two sided.p<0·05 was considered statistically significant and analyses were done without any imputation for missing data.
Results
During the initial week of deblocking for isolation in Qingdao region, China, there were 253 patients admitted to Qingdao Hospital, University of Health, and Rehabilitation Sciences due to SARS-CoV-2 infection. According to exclusion criteria, there were 171 patients included in final cohort (The research flow chart was shown in Fig. 2).