Pasw version 18.0 for windows

The normal distribution of continuous variables was tested by normality tests, and each continuous variable was shown as mean ± SD (standard deviation) or median (interquartile ranges, IQR) as appropriate. Categorical variables were summarized as the counts and percentages for each category. The differences in age, sex, proportions of mild cases, comorbidities of hypertension and diabetes, the history of allergy and vaccination, the lowest and admission Ct-ORF and Ct-N, as well as the differences in the symptom spectrum between the Prolonged group and Control group, were compared using t-test, Mann–Whitney U test, and Chi-square/Fisher’s exact test as appropriate. To further explore the risk factors associated with the prolonged LOS, multivariate Logistic and linear regression analyses were applied with the forward stepwise (conditional) and enter methods, respectively. The multicollinearity of all covariates was examined using the collinearity analysis. The diagnostic accuracy of the lowest and admission Ct-ORF and Ct-N for LOS > 7 was determined via the receiver operating characteristic (ROC) curve analysis in a nonparametric approach. All analyses were conducted with PASW version 18.0 for windows (SPSS, Inc., Chicago, IL). All hypothesis testing was two-sided, and P < 0.05 was considered statistically significant.

A correlation network was generated using the significant correlations (p value < 0.05) between serum metabolite levels and blood parameter levels or between serum metabolite levels and liver and AT gene mRNA expression levels, which were calculated using PASW, version 18.0 for Windows (SPSS Inc. Chicago, IL, USA). We utilized an edge-weighted spring-embedded layout algorithm in Cytoscape 3.2.1. The edges were weighted according to the association—log (p) values.