Division of Reproductive Endocrinology and Infertility, Department of Obstetrics & Gynecology, University of British Columbia, Vancouver, Canada (all authors).
Division of Reproductive Endocrinology and Infertility, Department of Obstetrics & Gynecology, University of British Columbia, Vancouver, Canada (all authors)..
J Minim Invasive Gynecol. 2021 Feb;28(2):249-258.e2. doi: 10.1016/j.jmig.2020.05.003. Epub 2020 May 13.
Endometriosis fertility index (EFI) is a robust tool to predict the pregnancy rate in patients with endometriosis who are attempting non-in vitro fertilization conception. However, EFI calculation requires laparoscopy. Newly established imaging techniques such as sliding sign, which is used to diagnose pouch of Douglas obliteration, could provide a promising alternative. The objective of this study was to investigate the practicality of using ultrasound data to predict a low EFI (score ≤6).
Observational study from a prospective registry (Endometriosis Pelvic Pain Interdisciplinary Cohort, clinicaltrials.gov #NCT02911090). Analyzed data were captured from December 2013 to June 2017.
Tertiary referral center at British Columbia Women's Hospital.
We analyzed data for 2583 participants from the Endometriosis Pelvic Pain Interdisciplinary Cohort. In this cross-sectional study, we included 86 women aged <40 years.
Dynamic ultrasonography for the sliding sign testing and EFI calculation during laparoscopic surgery.
Logistic regression was used to obtain receiver operating characteristic area under the curve (AUC) for the prediction models. Significance was p <.05. Patients with a negative sliding sign were older and had severe endometriosis and longer duration of infertility. Patients with a negative sliding sign had significantly lower total EFI scores and lower surgical factors scores than patients with a positive sliding sign. Logistic regression showed that a negative sliding sign and EFI historic factors score can predict an EFI score ≤6 (sensitivity = 87.9%, specificity = 81.1%, AUC = 0.93 [95% confidence interval, 0.88-0.98]). Adding the diagnosis of endometrioma to the previous prediction model resulted in AUC = 0.95 (95% confidence interval, 0.90-0.995), sensitivity = 84.8%, and specificity = 92.5%.
The sliding sign could be a potential alternative to the EFI surgical factors, and it could be used in combination with EFI historic factors and the diagnosis of endometrioma to predict an EFI score ≤6 for patients who are not scheduled for immediate surgery.
子宫内膜异位症生育指数(EFI)是一种预测尝试非体外受精受孕的子宫内膜异位症患者妊娠率的可靠工具。然而,EFI 的计算需要腹腔镜检查。新建立的影像学技术,如滑动征,用于诊断Douglas 陷凹闭锁,可以提供一个有前途的替代方法。本研究的目的是探讨使用超声数据预测低 EFI(评分≤6)的实用性。
前瞻性注册研究(子宫内膜异位症盆腔疼痛多学科队列,clinicaltrials.gov #NCT02911090)。分析数据于 2013 年 12 月至 2017 年 6 月采集。
不列颠哥伦比亚省妇女医院的三级转诊中心。
我们分析了来自子宫内膜异位症盆腔疼痛多学科队列的 2583 名参与者的数据。在这项横断面研究中,我们纳入了 86 名年龄<40 岁的女性。
腹腔镜手术期间进行动态超声检查以检测滑动征,并计算 EFI。
使用逻辑回归获得预测模型的接收者操作特征曲线(AUC)下面积。显著性水平为 p<.05。滑动征阴性的患者年龄较大,且患有严重的子宫内膜异位症和更长时间的不孕。与滑动征阳性的患者相比,滑动征阴性的患者 EFI 总评分和手术因素评分明显较低。逻辑回归显示,滑动征阴性和 EFI 历史因素评分可以预测 EFI 评分≤6(敏感性=87.9%,特异性=81.1%,AUC=0.93[95%置信区间,0.88-0.98])。将内异症的诊断添加到之前的预测模型中,AUC=0.95(95%置信区间,0.90-0.995),敏感性=84.8%,特异性=92.5%。
滑动征可能是 EFI 手术因素的一种潜在替代方法,并且可以与 EFI 历史因素和内异症的诊断结合使用,以预测 EFI 评分≤6 的患者,这些患者未安排立即手术。