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高危型HPV感染CIN Ⅱ~Ⅲ级患者LEEP术后宫腔粘连的风险预测
作者:谢亚兵  李元昆  栗蕊 
单位:郑州大学第二附属医院 妇产科, 河南 郑州 450014
关键词:宫颈上皮内瘤变 人乳头瘤病毒 宫颈环形电切除术 宫腔粘连 影响因素 列线图 
分类号:R737.33;R711.74
出版年·卷·期(页码):2026·45·第二期(255-265)
摘要:

目的:探讨高危型人乳头瘤病毒(HPV)感染宫颈上皮内瘤变(CIN)Ⅱ~Ⅲ级患者宫颈环形电切除术(LEEP)术后宫腔粘连的影响因素,并构建风险预测量化模型。方法:回顾性分析2022年5月至2025年5月在本院行LEEP治疗的588例高危型HPV感染CIN Ⅱ~Ⅲ级患者的临床资料,按照2:1比例将患者随机分为观察组(n=392)和验证组(n=196)。统计患者术后宫腔粘连发生情况,将观察组患者分为粘连组与非粘连组,比较两组临床资料;采用多因素Logistic回归分析筛查高危型HPV感染CIN Ⅱ~Ⅲ级患者LEEP术后宫腔粘连的影响因素,构建风险预测列线图模型,并对模型进行验证。结果:观察组中65例发生宫腔粘连,粘连组剖宫产史、刮宫史、宫内节育器放置史、CIN分级Ⅲ级占比均高于非粘连组(P<0.05),HPV载量、切除深度均大于非粘连组(P<0.05),术后益生菌使用占比低于非粘连组(P<0.05)。经多因素Logistic回归分析,剖宫产史、刮宫史、宫内节育器放置史、CIN分级Ⅲ级、切除深度均是高危型HPV感染CIN Ⅱ~Ⅲ级患者LEEP术后宫腔粘连的危险因素(P<0.05),术后益生菌使用是其保护因素(P<0.05)。基于上述影响因素构建高危型HPV感染CIN Ⅱ~Ⅲ级患者LEEP术后宫腔粘连发生风险预测量化列线图模型,校准曲线评估显示观察组、验证组的校正曲线与理想曲线均较为贴合;ROC曲线评估显示该模型预测观察组、验证组患者LEEP术后宫腔粘连发生风险的曲线下面积分别为0.875、0.870;DCA曲线评估显示,观察组阈值概率为0.13~0.55、0.59~0.74时和验证组阈值概率为0.10~0.79时,利用该模型评估术后宫腔粘连发生风险具有明显的临床净获益。结论:剖宫产史、刮宫史、宫内节育器放置史、CIN分级Ⅲ级、切除深度、益生菌使用均是高危型HPV感染CIN Ⅱ~Ⅲ级患者LEEP术后宫腔粘连发生的影响因素,基于此构建的风险预测量化列线图模型能够有效预测患者术后宫腔粘连发生风险,有助于指导临床早期筛查高危患者及制定相应的个体化干预措施。

Objective: To explore the influencing factors of intrauterine adhesion in cervical intraepithelial neoplasia(CIN) grade Ⅱ-Ⅲ patients with high-risk human papillomavirus(HPV) infection after loop electrical excision procedure(LEEP), and construct a quantitative risk prediction model. Methods: The clinical data of 588 high-risk HPV infected CIN Ⅱ-Ⅲ patients treated with LEEP in our hospital from May 2022 to May 2025 were retrospectively analyzed, and they were randomly divided into an observation group(n=392) and a validation group(n=196) in a 2:1 ratio. The occurrence of postoperative intrauterine adhesion in patients was counted, and the observation group patients were divided into adhesion group and non adhesion group based on this, and the clinical data of the two groups was compared. The influencing factors of intrauterine adhesion in high-risk HPV infected CIN Ⅱ-Ⅲ patients after LEEP surgery was screened using multiple Logistic regression analysis, and a risk prediction column chart model was constructed and validated. Results: 65 cases in the observation group experienced intrauterine adhesions. The proportions of cesarean section history, curettage history, intrauterine device placement history and CIN grade Ⅲ in the adhesion group were all higher than those in the non adhesion group(P<0.05), and HPV load, resection depth were all greater than those in the non adhesion group(P<0.05), and the proportion of postoperative probiotic use was lower than that in the non adhesion group(P<0.05). Through multiple Logistic regression analysis, the cesarean section history, curettage history, intrauterine device placement history, CIN grade Ⅲ and resection depth were all risk factors for intrauterine adhesion after LEEP in high-risk HPV infected CIN Ⅱ-Ⅲ patients(P<0.05), while the use of probiotics after surgery was a protective factor(P<0.05). Based on the above influencing factors, a quantitative column chart model for predicting the risk of intrauterine adhesion in high-risk HPV infected CIN Ⅱ-Ⅲ patients after LEEP surgery was constructed. Calibration curve evaluation showed that the calibration curves of the observation group and validation group were close to the ideal curve. The ROC curve evaluation showed that the area under the curve for predicting the risk of intrauterine adhesion after LEEP in the observation group and validation group patients was 0.875 and 0.870 respectively. The DCA curve evaluation showed that when the threshold probabilities of the observation group was 0.13-0.55 and 0.59-0.74, and when the threshold probabilities of the validation group were 0.10-0.79 respectively, using this model to evaluate the risk of postoperative intrauterine adhesion had a significant clinical net benefit. Conclusion: The cesarean section history, curettage history, intrauterine device placement history, CIN grade Ⅲ, resection depth and probiotic use are all influencing factors for the occurrence of intrauterine adhesion in high-risk HPV infected CIN Ⅱ-Ⅲ patients after LEEP surgery. Based on this, a risk prediction quantitative column chart model can effectively predict the risk of intrauterine adhesion in such patients after surgery, which can help guide early screening of high-risk patients in clinical practice and develop corresponding personalized intervention measures.

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