从临床数据中预测EQ-5D-3L实用值,用于预期的移植接受者队列
V Bonnemains1, Y Foucher2, P Tessier1
1Nantes Université, Univ Tours, CHU Nantes, INSERM, MethodS in Patients-Centered Outcomes and HEalth Research SPHERE, 44000, Nantes, France.
概括
这项研究使用临床数据对移植患者的健康状况实用值 (HSUV) 进行了建模. 模型可以随着时间的推移预测HSUV,这有助于对移植资源分配的成本效益分析.
科学领域:
- 卫生经济学 卫生经济学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 生物统计学 生物统计学
背景情况:
- 健康状态实用值 (HSUV) 对于移植 (KT) 的成本效益分析至关重要.
- 临床研究中通常没有直接的HSUV测量,因此需要从常规临床数据中进行预测建模.
- 在KT中,有效的资源配置依赖于准确的HSUV估计.
研究的目的:
- 使用例行收集的临床数据开发和比较用于预测KT接受者的HSUV的模型.
- 评估移植后HSUV的纵向变化.
- 为提供一个工具来估计随时间推移在KT接受者的HSUV.
主要方法:
- 利用了法国观察队列 (2014-2021) 中2,787名成年KT接受者的数据.
- 雇员使用EQ-5D-3L问卷来计算HSUV.
- 估计和比较线性混合效应 (LME) 模型,混合调整的有限依赖变量混合模型和β/两部分β混合模型的预测性能.
主要成果:
- 受理者年龄,女性性别,较高的BMI,并发症和KT前透析时间与较低的HSUV相关.
- 预测的HSUV在KT后的第一年增加,然后逐渐减少.
- 两部分β混合模型提供了最高的精度,而LME模型显示了更好的校准.
结论:
- 纵向预测算法对于在KT接受者中捕获时间变化的HSUV至关重要.
- 一个在线计算器可用于预测KT接收者HSUV随时间推移.
- 建议在国际队列中进行外部验证,以确认发现.
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