Endometrial Cut Off Thickness as Predictor of Endometrial Pathology in Perimenopausal Women with Abnormal Uterine Bleeding: A Cross-Sectional Study

Table 2

Univariate and multivariate logistic regression analyses of factors for prediction of endometrial pathology.

	Group I (n = 51)	Group II (n = 19)	value (univariate)	OR	value (multivariate)	AOR
Age >45	21 (41.17%)	14 (73.68%)	0.016	3.95 (1.25–10.12)	0.06	4.82 (1.02–22.83)
Obesity (BMI ≥30)	7 (13.72%)	8 (42.10%)	0.010	4.56 (1.36–15.38)	0.03	4.23 (0.82–21.60)
HTN	6 (11.76%)	4 (21.05%)	0.323	0.500 (0.12–2.01)	—	—
Diabetes	5 (9.80%)	4 (21.05%)	0.211	2.45 (0.58–10.30)	—	—
ET >10.5	14 (27.45%)	15 (78.94%)	0.000	26.78 (5.56–44.48)	0.004	22.60 (1.91–47.93)

Multivariate analysis is performed for only significant values in univariate analysis.