(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).