早期稽留流产术后宫腔粘连的影响因素分析及其预测模型构建

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

  • 摘要:
    目的 分析早期稽留流产术后宫腔粘连的影响因素并构建其预测模型。
    方法 回顾性收集进行清宫术治疗的438例稽留流产患者的资料。随机抽取307例患者作为建模集, 131例作为测试集。对建模集资料进行单因素和多因素Logistic回归分析并构建预测模型。模型的效能分别采用受试者工作特征(ROC)曲线、校准曲线、决策曲线进行评估, 并引入测试集中验证模型的效能。
    结果 建模集中的早期稽留流产患者在清宫术后1个月复查共发现58例发生宫腔粘连,发生率为18.89%(58/307), 其中宫腔部分粘连46例、宫腔广泛粘连12例。多因素Logistic回归分析表明,既往人工流产次数、既往宫腔操作次数、清宫术方式、转化生长因子β1(TGF-β1)高表达、基质金属蛋白酶-9(MMP-9)低表达均是早期稽留流产术后宫腔粘连的影响因素(P < 0.05)。基于上述指标构建早期稽留流产术后宫腔粘连风险预测模型的ROC曲线的曲线下面积为0.894, 最佳截断值(阈概率)为0.440, 灵敏度为0.890, 特异度为0.848; 校准曲线分析的Brier指数为0.068; 引入测试集进行模型验证的ROC曲线的曲线下面积为0.877, 灵敏度为0.875, 特异度为0.802; 校准曲线分析的Brier指数为0.165。当决策曲线中阈概率值设为0.440时,此预测模型可提供额外的临床净收益。
    结论 基于既往人工流产次数、宫腔操作次数以及清宫术方式、TGF-β1、MMP-9指标构建早期稽留流产术后宫腔粘连风险的预测模型具有一定应用价值。

     

    Abstract:
    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.

     

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