风险评分模型的外部验证,用于预测胎儿生长限制怀孕中不良围产期结果
Jiratchaya Lekhalawan1, Chitkasaem Suwanrath1, Noppasin Khwankaew1
1Department of Obstetrics and Gynecology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
The journal of obstetrics and gynaecology research
|May 12, 2025
概括
克拉大学王子 (PSU) 风险评分模型有效预测胎儿生长限制 (FGR) 怀孕中不良产周结果. 这种经过验证的工具可以帮助识别高风险病例,以便及时转诊和改进管理.
科学领域:
- 产科和妇科 产科和妇科
- 孕产妇和胎儿医学 孕产妇和胎儿医学
- 产周研究 产周研究
背景情况:
- 胎儿生长限制 (FGR) 是怀孕中的一个重大问题,与不良的周产期结果有关.
- 准确预测这些结果对于及时干预和改善新生儿护理至关重要.
- 现有的风险评分模型需要在不同人群中进行验证.
研究的目的:
- 验证克拉大学王子 (PSU) 风险评分模型,用于预测FGR的产前诊断的怀孕中不良产周结果.
- 评估模型在独立队列中的表现.
- 确定模型在识别高风险FGR怀孕中的实用性.
主要方法:
- 追溯研究121个非异常单独怀孕与FGR.
- 应用PSU风险评分模型,包括母体因素和超声波测量.
- 使用接收器操作特征曲线 (AUC) 下面的面积,灵敏度和特异性的预测性能评估.
主要成果:
- 该PSU模型表现出良好的预测性能,AUC为0.809.
- 截止分数为2为预测周产期不良结果的最高灵敏度 (85.7%).
- 该模型显示了识别风险妊娠的潜力,在最佳切断时的特异性为51.2%.
结论:
- 该PSU风险评分模型被证实是预测FGR怀孕中不良产周结果的有价值工具.
- 该模型识别风险患者的能力支持其用于转诊,特别是在资源有限的环境中.
- 进一步的前性研究可以巩固其临床实施.
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