Author: Zhichao Feng; Qizhi Yu; Shanhu Yao; Lei Luo; Junhong Duan; Zhimin Yan; Min Yang; Hongpei Tan; Mengtian Ma; Ting Li; Dali Yi; Ze Mi; Huafei Zhao; Yi Jiang; Zhenhu He; Huiling Li; Wei Nie; Yin Liu; Jing Zhao; Muqing Luo; Xuanhui Liu; Pengfei Rong; Wei Wang
Title: Early Prediction of Disease Progression in 2019 Novel Coronavirus Pneumonia Patients Outside Wuhan with CT and Clinical Characteristics Document date: 2020_2_23
ID: j0ufth5d_13
Snippet: Quantitative variables are presented as median and interquartile range (IQR), and categorical variables are presented as frequency and percentage. Normality of the continuous variables was assessed with the Kolmogorov-Smirnov test. Differences between groups were examined using Student's t-test or Mann-Whitney U test for quantitative variables according to the normal distribution and Chi-square test or Fisher's exact test for categorical variable.....
Document: Quantitative variables are presented as median and interquartile range (IQR), and categorical variables are presented as frequency and percentage. Normality of the continuous variables was assessed with the Kolmogorov-Smirnov test. Differences between groups were examined using Student's t-test or Mann-Whitney U test for quantitative variables according to the normal distribution and Chi-square test or Fisher's exact test for categorical variables. Multivariate logistic regression with forward stepwise selection based on likelihood ratio was used to identify the risk factors for development of severe NCP, and sensitivity analysis was performed according to the source of infection. Statistical analyses were performed using IBM SPSS statistics software (version 22.0, SPSS Inc., Chicago, IL, USA) and R software (version 3.6.1). A P value of less than 0.05 considered to be statistically significant.
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