出 处:《贵州医科大学学报》2023年第3期352-357,共6页Journal of Guizhou Medical University
基 金:四川省医学会科研课题(S18025)。
摘 要:目的建立高强度聚焦超声联合宫腔镜下清宫术对瘢痕妊娠疗效预测模型。方法收集138例行高强度聚焦超声联合宫腔镜下清宫术治疗瘢痕妊娠患者的一般资料、妊娠相关指标及手术相关指标,根据疗效将患者分为手术成功组和手术失败组,比较2组患者一般资料、妊娠相关指标及手术相关指标;以LASSO回归筛选变量后行多因素logistic回归分析、筛选出独立性影响因素,根据logistic回归结果构建列线图模型。结果138例高强度聚焦超声联合宫腔镜下清宫术患者中,有15例(10.87%)手术失败;LASSO回归筛选出5个潜在变量,多因素二元logistic逐步回归分析结果显示孕周≥6周、孕囊≥3 cm、术前血人绒毛膜促性腺激素(HCG)水平≥10^(5)IU/L、瘢痕妊娠分型外生型为高强度聚焦超声联合宫腔镜下清宫术失败的危险因素,瘢痕厚度≥3 cm为保护性因素(P<0.05);以R软件构建列线图模型,ROC曲线下面积(AUC)为0.911,95%CI为0.827~0.999(P<0.05);以Bootstrap法对列线图进行内部验证、原始数据重复抽样1000次,平均绝对误差为0.032,H-L拟合优度检验结果显示列线图模型预测概率与实际观察的手术失败率存在较好的一致性(P>0.05),列线图模型预测概率阈值为0.1~0.95时列线图模型临床获益率最高。结论高强度聚焦超声联合宫腔镜下清宫术治疗瘢痕妊娠疗效受孕周、孕囊大小、术前血HCG水平等因素的影响,本研究构建的列线图模型对患者疗效具有较高的预测准确度与区分度,在预测概率阈值为0.1~0.95时列线图模型临床获益率最高。Objective To establish a predictive model for the efficacy of high-intensity focused ultrasound(HIFU)combined with hysteroscopic hysterectomy on scar pregnancy so as to evaluate it.Methods One hundred and thirty-eight patients with scar pregnancy who underwent HIFU combined with hysteroscopic hysterectomy were selected for retrospective analysis.General data,pregnancy-related indicators,and surgery-related indicators were collected retrospectively.The patients were divided into 2 groups according to the curative effect:Successful Surgery Group and Failed Surgery Group.The general data,pregnancy-related indicators,and surgery-related indicators of the two groups were compared.The independent influencing factors were screened out by Multivariate logistic regression(MLR),and the nomogram model was constructed according to Logistic regression results.Results Fifteen cases(10.87%)of 138 patients with HIFU combined with hysteroscopic hysterectomy failed in the surgery.LASSO regression screened out 5 latent variables.The binary MLR showed that the risk factors for exogenous HIFU combined with hysteroscopic hysterectomy failure including gestational age≥6 weeks,gestational sac≥3 cm,preoperative blood HCG level≥10^(5) IU/mL,and scar pregnancy classified as exogenous type,while scar thickness≥3 cm was a protective factor(P<0.05).The nomogram model was constructed with R software.The area under the curve(AUC)of the ROC method predicted by the model was 0.911,and the 95%CI was 0.827-0.999(P<0.05).The nomogram was verified internally by Bootstrap method,and the original data was repeatedly sampled 1000 times.The results showed that the mean absolute error was 0.032,and the H-L goodness-of-fit test showed that there was a good agreement between the predicted probability of the nomogram model and the observed failure rate(P>0.05).The decision curve showed that when the predicted probability threshold of the nomogram model was 0.1-0.95,the clinical benefit rate of the nomogram model was the highest.Conclusion The efficac
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