一个名图和风险分层来预测随后的怀孕流产在患有重复怀孕流产的患者
Mingyang Li1,2, Renyi Zhou1,2, Daier Yu1,2
1Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China.
Human reproduction (Oxford, England)
|August 23, 2024
概括
一个新的诺米图准确地预测了复发性流产 (RPL) 患者随后流产的风险. 这种工具有助于识别高风险个人进行早期干预,改善怀孕咨询结果.
科学领域:
- 生殖免疫学 生殖免疫学
- 医学统计 医学统计
- 产科和妇科 产科和妇科
背景情况:
- 复发性流产 (RPL) 影响1-3%的夫妇,通常是由于未知的原因.
- 准确预测随后的流产对于患者的咨询和干预至关重要.
- 现有的RPL风险预测模型存在局限性,通常不包括关键的实验室和超声波指标.
研究的目的:
- 开发和验证一个可预测的诺姆图,用于随后的怀孕流产在患者的重复性怀孕流产.
- 确定导致重复流产的独立风险因素.
- 为了有针对性的管理,将RPL患者分为低风险和高风险分组.
主要方法:
- 对1153名重复流产患者的回顾性分析.
- 多变量逻辑回归以确定妊娠损失的独立预测因子.
- 使用培训和验证队伍开发和验证一个名ogram.
- 使用AUC,校准曲线和决策曲线分析对诺莫格拉姆表现的评估.
主要成果:
- 开发了一种包含年龄,先前损失,狼抗凝剂,抗心脂蛋白IgM,抗酸胺/前列红蛋白复合体IgM,抗双链DNA抗体,血小板聚合,血栓时间和子宫动脉多普勒指数的诺莫格拉姆.
- 与仅使用年龄和先前损失的模型相比,名图显示出更高的预测准确性 (AUC 0.808培训,0.731验证).
- 在确定的低风险和高风险组之间观察到妊娠损失率的显著差异 (P < 0.001).
结论:
- 开发的诺米图是预测后续怀孕流产风险的可靠工具,可用于复发性怀孕流产患者.
- 诺米图有效地将患者分为风险类别,从而实现个性化的临床管理.
- 一个在线网络工具整合了nomogram可用于临床应用,有助于风险评估和咨询.
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