在被诊断患有复发性植入失败的患者中,为随后的第一周期活产建立和验证名录:基于人口的分析分析
Yunian Zhang1,2,3, Xiaoyun Gong2, Manli Zhang2
1Department of Immunology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Frontiers in endocrinology
|March 20, 2024
概括
一个新的预测模型有助于估计复发性植入失败 (RIF) 的妇女活产的机会. 该工具指导了在辅助生殖技术方面的个性化临床决策.
科学领域:
- 生殖医学 生殖医学
- 不孕症研究 不孕症研究
- 临床预测建模模型
背景情况:
- 复发性植入失败 (RIF) 是辅助生殖技术的一个重大挑战,防止怀孕和活产,尽管有多次胚胎移植.
- 开发有效的策略来提高RIF患者的活产率对于推进生殖医学至关重要.
研究的目的:
- 在被诊断为RIF的患者中建立和验证第一周期活产的预测性名谱.
- 为指导患者管理和改善结果提供临床决策工具.
主要方法:
- 分析了一组538名被诊断患有RIF的患者,这些患者接受了体外受精/细胞内质精子注射.
- 患者被随机分配到训练队列 (n=408) 和验证组 (n=175).
- 使用后勤回归构建了一个名ogram,并验证了预测准确性.
主要成果:
- 活产的主要预测因素包括年龄,BMI,RIF持续时间,子宫内膜厚度,胚胎类型和之前的生化妊娠.
- 开发的诺米图表显示出出色的预测性能,通过ROC曲线分析,校准图表和决策曲线分析进行验证.
结论:
- 开发了一种新的,经过验证的预测模型,用于RIF患者的活产.
- 这种名图为医疗保健提供者提供个性化的临床决策工具,有可能提高治疗效率.
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