开发和验证用于预测产前的临床结果的诺姆图
Yan Xia1,2, Yao Wang1,2, Shijin Yuan3
1Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Frontiers in endocrinology
|March 29, 2024
概括
使用临床因素和实验室结果的孕前预测模型可以帮助识别早期发病和严重孕前 (PE). 这些模型有助于临床医生评估结果并定制患者策略,以更好地管理这种严重的妊娠疾病.
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
- 临床生物化学 临床生物化学
背景情况:
- 孕前 (PE) 是一种严重的妊娠并发症,缺乏可靠的预测生物标志物.
- 早期识别PE亚型和结果仍然是一个临床挑战.
研究的目的:
- 开发和验证早期发病的PE,严重的PE和妊娠持续时间的预测模型.
- 确定与PE结果相关的关键临床和实验室因素.
主要方法:
- 采用了多变量逻辑和考克斯回归模型.
- 使用训练队伍的显著预测因素构建了名图.
- 用曲线下的面积 (AUC) 和校准曲线来评估模型性能.
主要成果:
- 诸如多胎妊娠,低白蛋白 (ALB) 和高乳酸脱酶 (LDH) 等因素预测了早期发病的PE.
- 堕胎史,延长的血栓激素时间 (TT) 和升高的阿斯巴酸胺转移酶/LDH预测了严重的PE.
- 堕胎史,双胞胎怀孕,延长的TT,更高的血小板平均体积,更高的LDH和更低的ALB预测更短的妊娠时间.
结论:
- 开发的诺米图表显示了对PE结果的良好预测性能.
- 临床和实验室指标可以有效预测PE的严重程度和持续时间.
- 这些模型为早期风险评估和PE管理中的临床策略开发提供了实用工具.
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