The Prediction Model of Risk Factors for COVID-19 Developing into Severe Illness Based on 1046 Patients with COVID-19

Table 2

Influencing factors for COVID-19 patients developing severe illnesses.

		B	Standard error	Wald	Degree of freedom	Significance	Exp (B)	95% CI of Exp (B)
								Lower limit	Upper limit
Step 1a	Age	0.116	0.013	83.385	1	<0.001	1.123	1.096	1.152
	Fever	0.632	0.435	2.108	1	0.147	1.881	0.802	4.415
	Cough	1.627	0.450	13.067	1	<0.001	5.088	2.106	12.292
	Fatigue	0.415	0.507	0.671	1	0.413	1.515	0.561	4.090
	Gastrointestinal symptoms	0.080	0.934	0.007	1	0.932	1.083	0.174	6.753
	Chest tightness	0.041	0.868	0.002	1	0.962	1.042	0.190	5.709
	Hypertension	−0.130	0.469	0.076	1	0.782	0.879	0.351	2.201
	Chronic kidney disease	−0.560	0.874	0.411	1	0.522	0.571	0.103	3.167
	Diabetes	0.558	0.484	1.332	1	0.248	1.747	0.677	4.509
	Cerebrovascular disease	0.797	0.983	0.657	1	0.418	2.219	0.323	15.242
	COPD	1.971	0.779	6.398	1	0.011	7.178	1.559	33.055
	Tumor	0.895	1.086	0.679	1	0.410	2.448	0.291	20.579
	Venous thrombosis	5.092	2.227	5.231	1	0.022	162.753	2.071	12787.552
	Pneumothorax	19.951	20619.154	<0.001	1	0.999	461834480.538	<0.001	.
	Acute liver injury	0.511	0.630	0.658	1	0.417	1.667	0.485	5.733
	Electrolyte imbalance	0.418	0.381	1.206	1	0.272	1.519	0.720	3.204
	Constant	−9.153	0.781	137.240	1	<0.001	<0.001

Regression equation: .