A clinicopathological evaluation of postmenopausal bleeding and its correlation with risk factors for developing endometrial hyperplasia and cancer: A hospital-based prospective study

被引:9
作者
Begum, Jasmina [1 ]
Samal, Rupal [2 ]
机构
[1] All India Inst Med Sci, Dept Obstet & Gynaecol, Bhubaneswar 751019, Odisha, India
[2] Mahatma Gandhi Med Coll & Res Inst, Dept Obstet & Gynaecol, Pondicherry, India
关键词
Cancer; endometrial; hyperplasia; postmenopausal; risk factors;
D O I
10.4103/jmh.JMH_136_18
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Objective: The aim of this study is to investigate the clinical data from history and endometrial pathology by endometrial sampling in patients with postmenopausal bleeding and to identify risk factors associated with future development of endometrial cancer (EC). Methods: We prospectively studied 76 postmenopausal women with vaginal bleeding and endometrial thickness (ET) >5 mm undergoing endometrial biopsy or dilatation and curettage. Patient characteristics and endometrial assessment of women with or without EC and hyperplasia were compared. Univariate and multivariate logistic regression identified factors associated with risks of endometrial neoplasia. Results: In this study, the mean age at the time of presentation was 57.17 +/- 7.11 years, mean menopausal age was 49.18 +/- 3.69 years, and mean thickness of endometrial was 11.13 +/- 6.37 mm. The histopathological analysis showed atrophic endometrium (30.3%), proliferative endometrium (27.6%), EC (15.8%), endometrium hyperplasia (11.8%), disordered proliferative endometrium (9.2%), and endometrial polyp (5.3%). Women of EC and hyperplasia group were more likely to be multiparous, diabetic, hypertensive, obese or overweight, has a history of recurrent bleeding episodes or thick endometrium. Using multivariate logistic regression, we found ET (adjusted odds ratio [AOR] = 17.76, confidence interval [CI] 1.91-165.02, P < 0.011, criterion <greater than or equal to>11 mm), recurrent episode of bleeding (AOR = 13.21, CI 1.10-158.91, P < 0.042), diabetes (AOR = 8.03, CI 1.15-55.78, P < 0.035) the best predictors of EC. Conclusion: As clinical characteristics are possible predictors of EC, these should also be taken into account in risk estimations and in the formulation of management plans. This not only has benefit in the process of disease detection but also may result in improved the efficiency of care.
引用
收藏
页码:179 / 183
页数:5
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