Table 3.

Logistic regression models for readmission with hospitalisation/death

Variables	Readmission with hospitalisation/death
	Crude		Multivariable
	OR	95% CI	OR	95% CI
Age (years)	1.061	1.038 to 1.084	–
Sex
Female	1		–
Male	1.319	0.763 to 2.282
CT disease extension	1.012	0.990 to 1.034	1.013	0.990 to 1.036
Days since symptom onset	0.787	0.716 to 0.864	0.817	0.743 to 0.898
Velocity index 2-day lag	1.245	1.117 to 1.387	1.206	1.078 to 1.349
pCO2	0.962	0.899 to 1.029	0.959	0.899 to 1.022
pO2	0.976	0.951 to 1.003	0.993	0.966 to 1.020
White cell count	1.100	0.951 to 1.272	1.093	0.939 to 1.271
Neutrophils	1.021	0.990 to 1.053	1.006	0.974 to 1.038
Lymphocytes	0.959	0.927 to 0.993	0.975	0.940 to 1.011
C reactive protein	1.078	1.008 to 1.154	1.057	0.983 to 1.136
Procalcitonin	0.958	0.632 to 1.453	0.918	0.511 to 1.649
Creatine	4.259	1.612 to 11.250	2.722	1.011 to 7.326
Lactate dehydrogenase	1.000	0.997 to 1.002	1.000	0.997 to 1.002
Bilirubin	0.783	0.349 to 1.755	0.598	0.221 to 1.615
Charlson Comorbidity Index
0	1		1
1	1.657	0.538 to 5.103	0.797	0.237 to 2.685
2	2.712	0.831 to 8.856	2.083	0.594 to 7.307
3	18.646	3.520 to 98.780	12.738	2.200 to 73.746

Logistic regression models for readmission followed by hospitalisation or death, adjusted for sex and age.