Research Article
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) |
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Multivariate analysis is performed for only significant values in univariate analysis. |