Table 4.

Results of Logistic Regression Model.

	Logistics regression
	Univariate		Multivariate†
Variable	OR (95%CI)	P-value	OR (95%CI)	P-value
Gender
Female	1(ref)		1(ref)
Male	1.29(1.12–1.49)	< 0.001	1.23(1.06–1.43)	0.006
Age
< 18	1(ref)		1(ref)
18–65	0.75(0.61–0.93)	0.008	1(0.78–1.28)	0.976
> 65	1.41(1.10–1.82)	0.008	1.75(1.32–2.31)	< 0.001
Weight
< 50 kg	1(ref)		1(ref)
50–100 kg	0.60(0.48–0.75)	< 0.001	0.59(0.46–0.76)	< 0.001
> 100 kg	0.57(0.44–0.73)	< 0.001	0.56(0.42–0.75)	< 0.001
Time
< 180 days	1(ref)		1(ref)
180–360 days	1.08(0.87–1.34)	0.494	1.07(0.86–1.33)	0.544
> 360 days	1.40(1.20–1.64)	< 0.001	1.38(1.18–1.62)	< 0.001

^†Three variables in addition to the independent variables are used as covariates to adjust.