Ovarian endometrioma recurrence after laparoscopic surgery: First assessment of ACSAP predicting score

Author:

Niu Cuili1,Bai Xiaowei1,Gui Xiuyin1,Liang Yuanzhe1,Zhang Ling1

Affiliation:

1. Department of Gynecology, Xingtai Third Hospital, Xingtai, Hebei Province, China

Abstract

Abstract Purpose: We aimed to develop and validate a predictive score to estimate the post-operative recurrence risk after laparoscopic excision of ovarian endometrioma (OMA). Patients and Methods: The prediction score was developed using a training set comprising 431 patients with OMA who underwent laparoscopic surgery at our institution between January 2015 and September 2017. A follow-up period of at least 5 years was required. Clinical data were entered into least absolute shrinkage and selection operator (LASSO) regression to build a scoring system that predicted OMA recurrence. A testing set containing 185 patients from October 2017 to October 2018 was used to assess its performance. Results: Based on LASSO regression, the final score (ACSAP score) included five clinical predictors (0–15 points): Age, cyst size, previous surgery for OMA, revised American Society for Reproductive Medicine stage and post-operative pregnancy. The area under the curve values of the score were 0.741 (0.765) and 0.727 (0.795) for predicting 3-year and 5-year OMA recurrence, respectively, in the training (testing) set. The score stratified patients into three risk groups in both sets, with significant differences in the 5-year recurrence rates (low-risk, 5.3% [0%]; intermediate-risk, 20.2% [16.5%] and high-risk, 48.0% [36.5%]; P < 0.001). Moreover, patients in the intermediate- and high-risk groups exhibited a significant reduction in the 5-year cumulative recurrence following a minimum of 15-month post-operative medical treatment (both P < 0.05). Conclusions: The ACSAP score may be a concise and useful tool for identifying patients with a higher risk of OMA recurrence after surgery who might receive long-term post-operative medical treatment.

Publisher

Medknow

Reference24 articles.

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