. 2018 Jan;34(1):66–76. doi: 10.6515/ACS.201801_34(1).20170901B

Table 4. Multivariate logistic regression model to assess the associations between uterine leiomyoma and VTE after excluding the patients with hormone therapy and cancer diagnosis in uterine leiomyoma comparison.

	VTE case^#	Control	Adjusted odds ratio^{Model 1} (95 % CI)	p value	Adjusted odds ratio^{Model 2} (95 % CI)	p value
Before matching data
Non-leiomyoma	1539 (95.47%)	348283 (95.97%)	1 (reference)		1 (reference)
Leiomyoma*	73 (4.53%)	14623 (4.03%)	1.632 (1.283-2.076)	< 0.0001	1.579 (1.245-2.003)	0.0002
Frequency matching data
Non-leiomyoma	1539 (95.47%)	7523 (96.61%)	1 (reference)		1 (reference)
Leiomyoma*	73 (4.53%)	264 (3.39%)	1.615 (1.220-2.137)	0.0008	1.650 (1.256-2.168)	0.0003
Propensity score matching data
Non-leiomyoma	1518 (95.47%)	6249 (96.35%)	1 (reference)		1 (reference)
Leiomyoma*	72 (4.53%)	237 (3.65%)	1.387 (1.056-1.823)	0.0188	1.341 (1.023-1.758)	0.0334

Model 1 adjusted for uterine leiomyoma and the significantly different variables in Table 1. Model 2 adjusted for uterine leiomyoma, age and propensity score.

VTE, venous thromboembolism.