Markers of deep infiltrating endometriosis in patients with ovarian endometrioma: a predictive model

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• 作者：Maria Perell&oacute ; ^a ; Maria A. Martí ; nez-Zamora^a ; Ximena Torres^a ; Jordina Munr&oacute ; s^a ; Silvia Llecha^a ; Elisa De Lazzari^b ; Juan Balasch^a ; Francisco Carmona^a ; ^{fcarmona@clinic.ub.es}
• 关键词：Endometriosis ; Ovarian endometrioma ; Diagnosis ; Prediction model ; EAPP score
• 刊名：European Journal of Obstetrics & Gynecology and Reproductive Biology
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：209
• 期：Complete
• 页码：55-60
• 全文大小：712 K
• 卷排序：209

文摘

The purpose of the study was to develop an easily applicable predictive model to predict deep infiltrating endometriosis in patients with ovarian endometrioma.Study designWe performed a retrospective analysis of 178 consecutive women with ovarian endometrioma who underwent surgery, with histological confirmation and complete removal of endometriosis in the Hospital Clinic of Barcelona. Several markers were prospectively obtained and compared between the group of patients presenting deep infiltrating endometriosis associated with ovarian endometrioma and women with only ovarian endometrioma. Multiple logistic regression analysis was performed to create a model to predict the presence of deep infiltrating endometriosis and internal validation was later performed.ResultsOf the 178 patients studied, 80 (45%) were classified in the ovarian endometrioma group and 98 (55%) in the group of patients presenting deep infiltrating endometriosis associated with ovarian endometrioma. The independent variables to predict deep infiltrating endometriosis were: at least one previous pregnancy, a past history of surgery for endometriosis and the mean endometriosis-associated pelvic pain score. The area under the ROC curve was 0.91 (95% confidence interval: 0.86–0.94), with an optimal cut-off of the predicted probability of 0.54. The sensitivity of the model was 80% and the specificity 84%.ConclusionsThis model predicts the development of deep infiltrating endometriosis in patients with ovarian endometriomas allowing prioritization of women for referral to specialized centers.