06 October 2021>: Database Analysis
A Simple Clinical Prediction Tool for COVID-19 in Primary Care with Epidemiology: Temperature-Leukocytes-CT Results
Wanming Hao 1CDEF* , Long Zhao 2CDE* , Xinjuan Yu 1CDE* , Song Wu 3DE , Weifeng Xie 4BF , Ning Wang 1BF , Weihong Lv 5BF , Akshay Sood 6DF , Shuguang Leng 6DF , Yongchun Li 1DF , Qing Sun 7AEF* , Jun Guan 8EF* , Wei Han 1AEF*DOI: 10.12659/MSM.931467
Med Sci Monit 2021; 27:e931467
Table 3 Logistic regression analysis of COVID-19.
Variable | β | SE | Wald χ2 | OR (95% CI) | P |
---|---|---|---|---|---|
Epidemiological history (X) | 2.657 | 0.905 | 8.612 | 14.248 (2.417–84.009) | 0.003 |
Body temperature (X) | 1.153 | 0.531 | 4.716 | 3.166 (1.119–8.960) | 0.030 |
Leukocytes count (X) | 2.125 | 1.070 | 3.945 | 8.376 (1.028–68.216) | 0.047 |
Chest CT (X) | 2.828 | 0.641 | 19.435 | 16.906 (4.809–59.430) | |
Constant | −10.771 | 2.655 | 16.454 | 2.10E-05 | |
β – partial regression coefficient; SE – standard error; OR – odds ratio; CI – confidence interval. |