内源性剖宫产瘢痕异位妊娠负压抽吸后残留预测图的回顾性研究。

IF 3.1 2区 医学 Q1 OBSTETRICS & GYNECOLOGY BMC Pregnancy and Childbirth Pub Date : 2025-02-03 DOI:10.1186/s12884-025-07255-2
Yan Lei, Na Zhang, Yu Liu, Xin Du
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引用次数: 0

摘要

背景:我们的目的是建立一种预测图来评估内源性剖宫产瘢痕异位妊娠患者负压吸吸后残留组织的发生率。方法:回顾性研究选取2017年5月至2023年8月在我院妇科接受负压吸引治疗、治疗前后超声检查并接受至少6个月电话随访的患者。共有899例患者符合纳入标准,分为训练队列(629例,占70%)和验证队列(270例,占30%)。采用多元逻辑回归建立独立预测因素。使用1000次自举重采样验证了所得的nomogram,并绘制了校准曲线。进行受试者工作特征(ROC)分析,计算曲线下面积、敏感性、特异性和其他指标,以评估其判别性能。构建临床决策曲线以评估临床适用性并量化阈值概率范围内的净效益。该模型在验证队列中进行外部验证。结果:nomogram预测因素包括:年龄(风险比[HR]: 1.220, 95%可信区间[CI]: 1.135 ~ 1.316)、BMI (HR: 0.890, 95% CI: 0.796 ~ 0.986)、术中大出血(HR: 4.457, 95% CI: 1.910 ~ 12.292)、妊娠囊最大直径(HR: 1.572, 95% CI: 1.295 ~ 1.914)、子宫下段剩余肌层厚度(HR: 1.572, 95% CI: 0.014 ~ 0.430)。所得nomogram ROC曲线显示训练组(0.809,95% CI: 0.751-0.867)和验证组(0.814,95% CI: 0.739, 0.888)曲线下面积相似。Hosmer-Lemeshow检验显示模型拟合良好(P = 0.861),校正曲线接近理想对角线。决策曲线分析显示了良好的净效益,外部验证证实了该方法的可靠性。结论:该模型有助于个体临床决策,使临床医生能够对剖宫产瘢痕负压吸术后内源性异位妊娠患者进行术后即时评估,识别高危亚群,提前选择合适的补充治疗,特别适用于低收入地区和资源有限的基层医院。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A prediction nomogram for residual after negative pressure aspiration for endogenic cesarean scar ectopic pregnancy: a retrospective study.

Background: We aimed to establish a predictive nomogram to evaluate the incidence of residual tissue in patients with endogenic cesarean scar ectopic pregnancy after negative pressure aspiration.

Methods: This retrospective study included patients treated in the gynecology department of our institution from May 2017 to August 2023 who underwent negative pressure suction treatment, ultrasound examinations before and after treatment, and received telephone follow-up for at least 6 months. A total of 899 patients met the inclusion criteria and were divided into a training cohort (629 patients, 70%) and a validation cohort (270 patients, 30%). Independent predictive factors were established using multivariate logistic regression. The resulting nomogram was validated using 1,000 bootstrap resampling, and calibration curves were plotted. Receiver operating characteristic (ROC) analysis was performed to calculate the area under the curve, sensitivity, specificity, and other metrics to assess its discriminative performance. Clinical decision curves were constructed to evaluate clinical applicability and quantify the net benefit within a range of threshold probabilities. The model was externally validated in the validation cohort.

Results: Predictive factors included in the nomogram included age (hazard ratio [HR]: 1.220, 95% confidence interval [CI]: 1.135-1.316), BMI (HR: 0.890, 95% CI: 0.796-0.986), intraoperative major hemorrhage (HR: 4.457, 95% CI: 1.610-12.292), maximum diameter of the gestational sac (HR: 1.572, 95% CI: 1.295, 1.914), and thickness of the remaining muscle layer of the lower uterine segment (HR: 1.572, 95% CI: 0.014, 0.430). The ROC curve of the resulting nomogram showed similar area under the curve values for the training (0.809, 95% CI: 0.751-0.867) and validation cohorts (0.814, 95% CI: 0.739, 0.888). The Hosmer-Lemeshow test indicated good model fit (P = 0.861), and the calibration curve was close to the ideal diagonal line. Decision curve analysis demonstrated good net benefit, and external validation confirmed its reliability.

Conclusions: The model may aid in individual clinical decision-making, allowing clinicians to perform immediate postoperative assessments for patients with endogenous ectopic pregnancy in cesarean section scars treated with negative pressure suction, identify high-risk subpopulations, and select appropriate supplementary treatment in advance, making it particularly suitable for low-income areas and resource-limited primary hospitals.

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来源期刊
BMC Pregnancy and Childbirth
BMC Pregnancy and Childbirth OBSTETRICS & GYNECOLOGY-
CiteScore
4.90
自引率
6.50%
发文量
845
审稿时长
3-8 weeks
期刊介绍: BMC Pregnancy & Childbirth is an open access, peer-reviewed journal that considers articles on all aspects of pregnancy and childbirth. The journal welcomes submissions on the biomedical aspects of pregnancy, breastfeeding, labor, maternal health, maternity care, trends and sociological aspects of pregnancy and childbirth.
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