在一般日本人口中估计NT-proBNP的预测模型:图恩健康研究
Katsuji Inoue1,2, Kazumichi Yamamoto3, Haruhiko Higashi1
1Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
ESC heart failure
|February 2, 2024
概括
这项研究开发了第一个针对日本普通人口的NT-proBNP预测模型,确定年龄是关键因素. 观察到预测的NT-proBNP比率显示了预测心力衰竭风险的潜力.
科学领域:
- 心血管医学 心血管医学
- 生物标志物研究 生物标志物研究
- 人口健康研究 人口健康研究
背景情况:
- N-终端亲脑尿性 (NT-proBNP) 是心血管健康的关键生物标志物.
- 对不同人群中NT-proBNP水平的预测模型对于早期风险评估至关重要.
- 图文健康研究为调查特定人口的健康趋势提供了有价值的数据集.
研究的目的:
- 在日本一般人群中开发和验证NT-proBNP的预测模型.
- 确定影响NT-proBNP水平的人口和临床因素.
- 探索观察到预测的NT-proBNP比率 (OPR) 在预测心力衰竭与保留射出分数 (HFpEF) 的潜力.
主要方法:
- 一项前性队列研究,涉及来自日本图恩市的2505名参与者.
- 开发一个NT-proBNP预测模型,使用10个预测器的回归.
- 通过引导和评估模型性能使用R2和RMSE进行内部验证.
- 在5年随访后,对OPR进行特设分析,以预测高NT-proBNP (>125 pg/mL) 在5年随访后.
主要成果:
- 预测模型表现出令人满意的性能 (R2:0.291,RMSE:0.688),年龄是主要的预测因素.
- 内部验证证实了模型的稳定性.
- 基线OPR有效预测了在5年随访后NT-proBNP升高 (AUC:0.793),表明HFpEF风险.
结论:
- 开发的NT-proBNP预测模型是第一个针对日本普通人口的预测模型,显示了可接受的性能.
- 建议对该模型进行持续的改进和外部验证.
- 作为预测无症状个体未来HFpEF风险的工具,OPR显示出了前景.
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