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在部分切除术后,对术后功能预测模型的外部验证.

Emily Nham1, Luke T Lavallée1,2, Ranjeeta Mallick2

  • 1Division of Urology, University of Ottawa, Ottawa, ON, Canada.

Urology practice
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PubMed
概括

一个新的模型准确地预测了部分切除术 (PN) 后一年的功能 (eGFR). 该工具通过估计手术后球过率 (GFR) 结果,有助于患者咨询.

关键词:
功能 功能 功能部分切除术 部分切除术预测模型的预测模型.

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科学领域:

  • 腎臟病學 (nephrology) 是一種醫學.
  • 泌尿器科 泌尿器科 泌尿器科 泌尿器科
  • 医疗信息学 医疗信息学

背景情况:

  • 在部分切除术 (PN) 后精确估计功能对于患者管理至关重要.
  • 退伍军人事务国家卫生系统开发了一种术后估计球过率 (eGFR) 的预测模型.
  • 该模型实现了0.66的确定系数 (R 2),并预测了82%的患者 (P30) 的GFR在30%以内.

研究的目的:

  • 在不同的患者队列中对预测模型的性能进行外部验证.
  • 为了评估模型在预测1年术后EGFR的准确性,从体低温试验患者.

主要方法:

  • 该模型使用来自一项涉及175名患者的随机临床试验的数据进行了验证.
  • 用99m的Tc-DTPA血清除率测量了膜过率 (GFR) 在PN前和后.
  • 用R2,校准斜率和精度指标 (P10,P20,P30) 评估模型性能.

主要成果:

  • 该模型在试验队列中表现出强的性能,R2为0.67.
  • 精度指标显示,41.7%在10% (P10),73.7%在20% (P20) 和89.1%在30% (P30) 内的预测GFR.
  • 校准斜率为1.04,表明不同基线功能水平的校准良好.

结论:

  • 术后GFR的预测模型在性低温试验中的患者中表现良好.
  • 该模型利用99m的Tc-DTPA血清除测量,可以为接受部分切除术的患者提供知情决策.
  • 这些发现表明,该模型在咨询患者时,在PN后预期的功能结果方面具有实用性.