怀孕前测试的临床预测价值对于不明原因的复发性自发性流产:一项回顾性研究
Jinming Wang1,2, Dan Li3, Zhenglong Guo1,2
1Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China.
Frontiers in medicine
|August 22, 2024
概括
这项研究开发了一种风险预测模型,用于使用常规的怀孕前测试进行不明原因的复发性自发性流产 (uRSA). 该模型有助于临床医生识别高风险患者进行早期干预.
科学领域:
- 生殖医学 生殖医学
- 临床预测建模临床预测建模
背景情况:
- 无法解释的复发性自发性流产 (uRSA) 需要早期预测和干预,以改善预后.
- 识别高风险个体对于及时的临床管理至关重要.
研究的目的:
- 使用例行妊娠前测试建立RRSA风险预测模型.
- 为临床医生提供一种工具,以识别患有RRSA高风险的患者.
主要方法:
- 对140名RRSA患者和152名对照人进行了回顾性研究.
- 收集了12项常规妊娠前检查和4项个人特征的数据.
- 利用后勤回归,ROC曲线和DCA用于模型开发和评估.
主要成果:
- 自由三甲状腺素 (FT3),自由甲状腺素 (FT4),25-氧维生素D [25-(OH) D],叶酸 (FA),甲状腺球蛋白抗体 (TG-Ab) 和甲状腺过氧化酶抗体 (TPO-Ab) 与RRSA显著相关.
- 该预测模型在测试组中实现了74.53%的准确性,ROC曲线下的面积为0.710.
- 决策曲线分析 (DCA) 显示出良好的临床效用.
结论:
- 常规的怀孕前检测包括FT3,FT4,TG-Ab,25-(OH) D和FA,与RRSA密切相关.
- 基于这些常规测试,已开发出针对RRSA的成功风险预测模型.
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