ZHOU Linlin, WANG Zhongjie, XU Dian, WANG Jianing. Analysis of influencing factors of intrauterine adhesions after early missed abortion surgery and construction of predictive model[J]. Journal of Clinical Medicine in Practice, 2023, 27(18): 107-112. DOI: 10.7619/jcmp.20232300
Citation: ZHOU Linlin, WANG Zhongjie, XU Dian, WANG Jianing. Analysis of influencing factors of intrauterine adhesions after early missed abortion surgery and construction of predictive model[J]. Journal of Clinical Medicine in Practice, 2023, 27(18): 107-112. DOI: 10.7619/jcmp.20232300

Analysis of influencing factors of intrauterine adhesions after early missed abortion surgery and construction of predictive model

More Information
  • Received Date: July 19, 2023
  • Revised Date: September 06, 2023
  • Available Online: October 08, 2023
  • Objective 

    To analyze the influencing factors of intrauterine adhesions after early missed abortion surgery and construct a predictive model.

    Methods 

    The data of 438 patients with missed abortion were retrospectively collected. A total of 307 patients were randomly selected as modeling set and 131 as test set. Univariate and multivariate Logistic regression analysis was performed on the modeling set data and the prediction model was constructed. The effectiveness of the model was evaluated using receiver operating characteristic (ROC) curve, calibration curve, and decision curve, respectively, and a test set to verify the effectiveness of the model was introduced.

    Results 

    A total of 58 patients with early missed miscarriage in the modeling set one month after curettage experienced intrauterine adhesions, with an incidence rate of 18.89% (58/307). Among them, there were 46 cases of partial adhesions in the uterine cavity and 12 cases of extensive adhesions in the uterine cavity. Multivariate Logistic regression analysis showed that times of previous induced abortions, previous uterine cavity procedures, methods of curettage, overexpressed transforming growth factor β1 (TGF-β1) and low expression of matrix metalloproteinase-9 (MMP-9) were influencing factors for postoperative uterine adhesions in early missed abortion (P < 0.05). The area under the ROC curve of the risk prediction model of intrauterine adhesion after early missed abortion based on the above indicators was 0.894, the optimal cutoff value (threshold probability) was 0.440, sensitivity was 0.890, and specificity was 0.848. The Brier index for calibration curve analysis was 0.068. The area under the ROC curve introduced into the test set for model verification was 0.877, the sensitivity was 0.875, and the specificity was 0.802. The Brier index for calibration curve analysis was 0.165. When the threshold probability value in the decision curve was set to 0.44, this predictive model can provide significant additional clinical net benefits.

    Conclusion 

    Based on the number of previous induced abortions, the number of uterine cavity procedures, and methods of curettage, TGF- β1 and MMP-9, the construction of a predictive model for the risk of intrauterine adhesions after early missed abortion has certain practical value.

  • [1]
    赵璐, 杨华. 早期妊娠稽留流产与碘营养超适宜关系的研究[J]. 中国计划生育和妇产科, 2023, 15(5): 67-70. https://www.cnki.com.cn/Article/CJFDTOTAL-JHFC202305014.htm
    [2]
    陶丽丹, 贾旺, 杨娜, 等. 稽留流产清宫术后去氧孕烯炔雌醇辅助治疗对子宫内膜组织MMP9、TGF-β3 mRNA水平及内膜修复效果[J]. 中国计划生育学杂志, 2021, 29(9): 1956-1959. https://www.cnki.com.cn/Article/CJFDTOTAL-JHSY202109038.htm
    [3]
    JIANG P, TANG X, WANG H, et al. Collagen-binding basic fibroblast growth factor improves functional remodeling of scarred endometrium in uterine infertile women: a pilot study[J]. Sci China Life Sci, 2019, 62(12): 1617-1629. doi: 10.1007/s11427-018-9520-2
    [4]
    潘宁宁, 李蓉. 从生育力保护角度探讨宫腔粘连的围手术期治疗[J]. 中国实用妇科与产科杂志, 2022, 38(11): 1092-1096. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGSF202211008.htm
    [5]
    CHEN L, XIAO S, HE S, et al. Factors That Impact Fertility after Hysteroscopic Adhesiolysis for Intrauterine Adhesions and Amenorrhea: A Retrospective Cohort Study[J]. J Minim Invasive Gynecol, 2020, 27(1): 54-59. doi: 10.1016/j.jmig.2018.12.023
    [6]
    中华医学会妇产科学分会. 《宫腔粘连临床诊疗中国专家共识》发布[J]. 中华医学信息导报, 2016, 13(1): 8-10.
    [7]
    彭燕蓁, 段华. 子宫内膜损伤宫腔粘连评价指标的临床应用[J]. 中国实用妇科与产科杂志, 2022, 38(9): 873-877. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGSF202209003.htm
    [8]
    侍繁, 高原, 吴晓燕, 等. 血清MMP-9、TIMP-1水平对早期稽留流产术后宫腔粘连的预测价值[J]. 中国医药导报, 2022, 19(18): 82-85. https://www.cnki.com.cn/Article/CJFDTOTAL-YYCY202218019.htm
    [9]
    沈文娟, 叶园园, 周恺玥, 等. 医用聚乙二醇小檗碱液改善清宫术后临床结局的效果分析[J]. 实用临床医药杂志, 2019, 23(8): 47-50. doi: 10.7619/jcmp.201908013
    [10]
    MO X, QIN G, ZHOU Z, et al. Assessment of Risk Factors of Intrauterine Adhesions in Patients With Induced Abortion and the Curative Effect of Hysteroscopic Surgery[J]. J Invest Surg. 2019, 32(1): 85-89.
    [11]
    谷楠楠, 杨荷, 陈继明, 等. 宫腔粘连电切术后不同干预方案的临床效果观察[J]. 实用临床医药杂志, 2021, 25(17): 128-132. doi: 10.7619/jcmp.20211672
    [12]
    刘姝岑, 朱雪红, 宾力, 等. 中国地区人工流产术及宫腔镜术后出现宫腔粘连危险因素的Meta分析[J]. 中国性科学, 2023, 32(1): 93-97. https://www.cnki.com.cn/Article/CJFDTOTAL-XKXZ202301023.htm
    [13]
    张明玮, 刘倩, 谢青贞. 慢性子宫内膜炎对宫腔粘连治疗结局的影响[J]. 生殖医学杂志, 2023, 32(6): 823-828. https://www.cnki.com.cn/Article/CJFDTOTAL-SZYX202306004.htm
    [14]
    于洋, 邹凌霄, 李外星, 等. 宫腔粘连好发和相对严重部位的临床特征[J]. 中南大学学报: 医学版, 2022, 47(11): 1568-1574. https://www.cnki.com.cn/Article/CJFDTOTAL-HNYD202211013.htm
    [15]
    左欣曌, 孔伟, 彭蓉, 等. 宫腔镜刨削刀系统治疗稽留流产34例[J]. 中国微创外科杂志, 2019, 19(1): 31-33, 49. https://www.cnki.com.cn/Article/CJFDTOTAL-ZWWK201901009.htm
    [16]
    沈晔, 钱芳波, 朱燕华. 直视人流系统与超声引导下人流术对患者子宫内膜恢复的影响及宫腔黏连发生风险比较[J]. 实用医院临床杂志, 2023, 20(3): 44-47. https://www.cnki.com.cn/Article/CJFDTOTAL-YYLC202303013.htm
    [17]
    李新琴, 石庆伟. 稽留流产的治疗研究进展[J]. 医学综述, 2019, 25(24): 4956-4959, 4964. https://www.cnki.com.cn/Article/CJFDTOTAL-YXZS201924027.htm
    [18]
    赵芳芳, 覃晓楣, 迟博, 等. PINK1/Parkin通路介导的线粒体自噬对宫腔粘连纤维化的影响及机制[J]. 现代妇产科进展, 2021, 30(8): 575-579, 584. https://www.cnki.com.cn/Article/CJFDTOTAL-XDFC202108004.htm
    [19]
    CHEN J X, YI X J, GU P L, et al. The role of KDR in intrauterine adhesions may involve the TGF-β1/Smads signaling pathway[J]. Braz J Med Biol Res, 2019, 52(10): e8324.
    [20]
    张友, 王琮, 杨燕. 宫腔粘连组织中miR-22、TGFβR1表达与三维能量超声参数的相关性及临床意义[J]. 分子诊断与治疗杂志, 2022, 14(11): 1841-1844, 1849. https://www.cnki.com.cn/Article/CJFDTOTAL-YXYQ202211004.htm
    [21]
    邱爽, 张璇, 王晓庆. 血清TGF-β1、VEGF、HIF-1α在子宫内膜息肉患者中的表达及与息肉切除术后宫腔粘连关系[J]. 中国妇产科临床杂志, 2022, 23(5): 486-488. https://www.cnki.com.cn/Article/CJFDTOTAL-FKLC202205013.htm
    [22]
    LIU L, CHEN G, CGEN T, et al. si-SNHG5-FOXF2 inhibits TGF-β1-induced fibrosis in human primary endometrial stromal cells by the Wnt/β-catenin signalling pathway[J]. Stem Cell Res Ther, 2020, 11(1): 479.
    [23]
    ABUDUKEYOUMU A, LI M Q, XIE F. Transforming growth factor-β1 in intrauterine adhesion[J]. Am J Reprod Immunol, 2020, 84(2): e13262.
    [24]
    方子昂, 程靖, 王文艳, 等. 新生化颗粒联合透明质酸钠对宫腔粘连患者的疗效及血清TIMP-1、PDGF、MMP-9的影响[J]. 中国妇产科临床杂志, 2019, 20(5): 401-403. https://www.cnki.com.cn/Article/CJFDTOTAL-FKLC201905007.htm
    [25]
    王红钰, 马恩萍, 涂国凤. 稽留流产孕早期预测模型的构建与验证[J]. 中国计划生育和妇产科, 2020, 12(5): 43-47. https://www.cnki.com.cn/Article/CJFDTOTAL-JHFC202005010.htm
    [26]
    刘凯, 朱琳, 刘政文, 等. 宫腔粘连患者妊娠预后的列线图预测模型建立[J]. 中国妇产科临床杂志, 2021, 22(5): 498-500. https://www.cnki.com.cn/Article/CJFDTOTAL-FKLC202105017.htm
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