A novel scoring model to predict massive hemorrhage during dilatation and curettage following focused ultrasound ablation surgery in patients with type 2 cesarean scar pregnancy.
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引用次数: 0
Abstract
Objective: To develop a predictive model for assessing massive hemorrhage risk during dilatation and curettage (D&C) after focused ultrasound ablation surgery (FUAS) in Type 2 cesarean scar pregnancy (CSP) patients.
Methods: A retrospective analysis of 405 Type 2 CSP patients treated at Hunan Maternal and Child Health Hospital (2018-2023) was conducted. Multivariable logistic regression identified independent risk factors, and a nomogram was constructed. Model performance was evaluated using AUC, calibration curves, and decision curve analysis (DCA). Ten-fold cross-validation was performed, and external validation was conducted on 327 patients.
Results: Independent risk factors included gestational sac maximum diameter (OR 1.11, 95% CI: [1.07-1.15], p < 0.001), GS blood flow US grade 3 (OR 9.96, 95% CI: [2.65-40.10], p < 0.001), and FUAS-curette time >24 h (OR 17.57, 95% CI: [3.88-84.48], p < 0.001). C-scar thickness and HCG levels were also included in the model as clinically significant factors. The model showed high discriminative ability (AUC 0.910, 95% CI: 0.867-0.953) and was validated through 10-fold cross-validation (mean AUC 0.838). External validation confirmed its robustness (AUC 0.812, 95% CI: 0.742-0.881). Calibration curves and DCA confirmed its accuracy and clinical utility.
Conclusion: The predictive model effectively assesses hemorrhage risk in Type 2 CSP patients post-FUAS, offering valuable clinical utility.
目的:建立2型剖宫产瘢痕妊娠(CSP)患者聚焦超声消融手术(FUAS)后扩张刮刮术(D&C)大出血风险的预测模型。方法:对2018-2023年湖南省妇幼保健院收治的405例2型CSP患者进行回顾性分析。多变量logistic回归识别独立的危险因素,并构建方差图。使用AUC、校准曲线和决策曲线分析(DCA)评估模型性能。对327例患者进行10倍交叉验证,并进行外部验证。结果:独立危险因素包括妊娠囊最大直径(OR 1.11, 95% CI: [1.07-1.15], p p 24 h (OR 17.57, 95% CI: [3.88-84.48]), p结论:该预测模型可有效评估fuas后2型CSP患者出血风险,具有重要的临床应用价值。