Metabolic syndrome is an independent risk factor for time to complete remission of fertility-sparing treatment in atypical endometrial hyperplasia and early endometrial carcinoma patients

Abstract Objective Fertility-sparing treatment of atypical endometrial hyperplasia (AEH) and early endometrial carcinoma (EC) patients has recently emerged important social health topic. This study is designed to explore the risk factors for time to complete remission (CR) of fertility-sparing treat...

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Main Authors: Yingqiao Ding (Author), Yuan Fan (Author), Xingchen Li (Author), Yiqin Wang (Author), Jianliu Wang (Author), Li Tian (Author)
Format: Book
Published: BMC, 2022-09-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Yingqiao Ding  |e author 
700 1 0 |a Yuan Fan  |e author 
700 1 0 |a Xingchen Li  |e author 
700 1 0 |a Yiqin Wang  |e author 
700 1 0 |a Jianliu Wang  |e author 
700 1 0 |a Li Tian  |e author 
245 0 0 |a Metabolic syndrome is an independent risk factor for time to complete remission of fertility-sparing treatment in atypical endometrial hyperplasia and early endometrial carcinoma patients 
260 |b BMC,   |c 2022-09-01T00:00:00Z. 
500 |a 10.1186/s12958-022-01006-0 
500 |a 1477-7827 
520 |a Abstract Objective Fertility-sparing treatment of atypical endometrial hyperplasia (AEH) and early endometrial carcinoma (EC) patients has recently emerged important social health topic. This study is designed to explore the risk factors for time to complete remission (CR) of fertility-sparing treatment in woman with AEH and early EC. Methods A retrospective study was designed with clinical data from 106 patients admitted between January 2012 to December 2019. Univariate and multivariate logistic analysis were used to explore independent risk factors for time to CR. These factors were employed in receiver operator characteristic (ROC) curve and the decision curve analysis (DCA) to evaluate predictive accuracy of time to CR. Stratified analysis and interactive analysis was also performed for more in-depth perspective. Results Univariate analysis showed that fasting blood glucose levels (FBG, OR = 1.6, 95%CI: 0.6-2.5, P = 0.020), metabolic syndrome (MetS, OR = 3.0, 95%CI: 1.1-5.0, P = 0.003), and polycystic ovary syndrome (PCOS, OR = 2.0, 95%CI: 0.5-3.4, P = 0.009) were associated with time to CR. Among these factors, multivariate analysis confirmed MetS (OR = 3.1, 95%CI: 1.0-5.2, P = 0.005) was an independent risk factor. The area under the ROC curve (AUC) of MetS was higher than FBG and PCOS (AUC = 0.723 vs 0.612 and 0.692). The AUC of FBG combined with PCOS was 0.779, and it was improved to 0.840 when MetS was included (P < 0.05). Additionally, MetS played different roles in time to CR in various groups. Moreover, we found high-density lipoprotein (HDL) and MetS had an interactive effect for time to CR. Conclusion MetS is an independent risk factor for time to CR and should be taken seriously in fertility-sparing management of AEH and early EC patients. 
546 |a EN 
690 |a Gynecology and obstetrics 
690 |a RG1-991 
690 |a Reproduction 
690 |a QH471-489 
655 7 |a article  |2 local 
786 0 |n Reproductive Biology and Endocrinology, Vol 20, Iss 1, Pp 1-11 (2022) 
787 0 |n https://doi.org/10.1186/s12958-022-01006-0 
787 0 |n https://doaj.org/toc/1477-7827 
856 4 1 |u https://doaj.org/article/9db98a43d651406193d3a74d3fa5e9f3  |z Connect to this object online.