Distinguishing COVID-19 from influenza pneumonia in the early stage through CT imaging and clinical features

Zhiqi Yang; Daiying Lin; Xiaofeng Chen; Jinming Qiu; Shengkai Li; Ruibin Huang; Hongfu Sun; Yuting Liao; Jianning Xiao; Yanyan Tang; Guorui Liu; Renhua Wu; Xiangguang Chen; Zhuozhi Dai

The correlation analysis and diagnostic performance of clinical features in distinguishing COVID-19 from influenza pneumonia were shown in Table 3 . The diagnosis outcomes correlated significantly with the WBC count (Spearman's r correlation, r = -0.526, P < 0.001) and neutrophil count (r = -0.500, P < 0.001). Lymphocyte rate and temperature have a weaker correlation with distinguishing COVID-19 from influenza pneumonia, with r = 0.310 (P < 0.001) and r = -0.433 (P < 0.001), respectively. However, little correlations were found for C-reactive protein and for neutrophil ratio in differential diagnosis. The WBC count yield a maximum AUC of 0.811 (95% CI: 0.731 ~ 0.890), follow by neutrophil count with the AUC of 0.795 (95% CI: 0.711 ~ 0.879). The distribution of WBC . CC-BY 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.