Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Obstetrics and Gynecology, Research Institute Amsterdam Reproduction & Development, Amsterdam, Netherlands.
Deventer Hospital, Department of Obstetrics and Gynecology, Deventer, Netherlands.
Eur J Obstet Gynecol Reprod Biol. 2023 Apr;283:59-67. doi: 10.1016/j.ejogrb.2023.01.014. Epub 2023 Jan 19.
To develop and internally validate a prognostic prediction model for development of a niche in the uterine scar after a first caesarean section (CS).
Secondary analyses on data of a randomized controlled trial, performed in 32 hospitals in the Netherlands among women undergoing a first caesarean section. We used multivariable backward logistic regression. Missing data were handled using multiple imputation. Model performance was assessed by calibration and discrimination. Internal validation using bootstrapping techniques took place. The outcome was 'development of a niche in the uterus', defined as an indentation of ≥ 2 mm in the myometrium.
We developed two models to predict niche development: in the total population and after elective CS. Patient related risk factors were: gestational age, twin pregnancy and smoking, and surgery related risk factors were double-layer closure and less surgical experience. Multiparity and Vicryl suture material were protective factors. The prediction model in women undergoing elective CS revealed similar results. After internal validation, Nagelkerke R ranged from 0.01 to 0.05 and was considered low; median area under the curve (AUC) ranged from 0.56 to 0.62, indicating failed to poor discriminative ability.
The model cannot be used to accurately predict the development of a niche after a first CS. However, several factors seem to influence scar healing which indicates possibilities for future prevention such as surgical experience and suture material. The search for additional risk factors that play a role in development of a niche should be continued to improve the discriminative ability.
开发并内部验证一种用于预测首次剖宫产术后子宫瘢痕憩室形成的预后预测模型。
对在荷兰 32 家医院进行的一项首次剖宫产随机对照试验的数据进行二次分析。我们使用多变量向后逻辑回归。使用多重插补处理缺失数据。通过校准和区分评估模型性能。采用自举技术进行内部验证。结局为“子宫瘢痕憩室形成”,定义为肌层凹陷≥2mm。
我们开发了两种预测憩室形成的模型:总人群和选择性剖宫产。与患者相关的危险因素为:胎龄、双胎妊娠和吸烟,与手术相关的危险因素为双层缝合和手术经验较少。多胎妊娠和薇乔缝线材料是保护因素。在选择性剖宫产妇女中,预测模型得出了类似的结果。经过内部验证后,Nagelkerke R 范围为 0.01 至 0.05,被认为是低的;中位数曲线下面积(AUC)范围为 0.56 至 0.62,表明区分能力差。
该模型不能用于准确预测首次剖宫产术后憩室的形成。然而,一些因素似乎影响瘢痕愈合,这表明未来可能有预防措施,如手术经验和缝线材料。应继续寻找影响憩室形成的其他危险因素,以提高区分能力。