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Updated: May 30, 2025
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Assessment of Kidney Function in Mouse Models of Glomerular Disease
Published on: June 30, 2018
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来自英国生物银行电子医疗记录的偏差纠正血清肌素产生了对功能轨迹的重要数据资源
Mathias Gorski1, Simon Wiegrebe1,2, Ralph Burkhardt3
1Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Scientific reports
|January 28, 2025
概括
这项研究引入了一种方法来纠正电子健康记录中的肌素数据中的偏差,显著增加了可用于研究的功能评估的数量. 这一进步有助于更有效地了解功能下降.
科学领域:
- 科和公共卫生
- 生物医学信息学和数据科学
背景情况:
- 功能丧失对健康构成重大负担,通常使用从血清肌氨酸中得出的估计膜过率 (eGFR) 进行监测.
- 英国生物银行提供了来自研究中心评估 (SC) 的有价值的血清肌素数据,电子医疗记录 (eMR) 提供了潜在的纵向数据来源.
- 基于eMR和SC的肌素在EGFR下降研究中的可比性和联合使用仍然不清楚.
研究的目的:
- 评估基于eMR的肌素测量的准确性,与英国生物银行内的基于SC的测量相比.
- 开发和验证基于eMR的肌素偏差校正方法,以便进行纵向eGFR研究.
- 评估偏差纠正的eMR数据对用于研究功能衰退的可用eGFR评估数量的影响.
主要方法:
- 基于 eMR 和 SC 的肌素值在不同日历年间进行比较分析,以确定和量化偏差.
- 开发基于eMR的肌素的一年特定的倍率偏差校正因子.
- 整合偏差纠正的eMR-肌素数据与SC数据,以获得英国生物银行内的大型队列的eGFR.
- 使用扩展数据集对eGFR下降的纵向分析,包括多次评估的个体和有关病或替代疗法的相关数据.
主要成果:
- 在基于eMR的肌素中发现了一年特定的乘法偏差,随着时间的推移,该偏差下降了 (例如,2007年为0.84,2013年为0.97).
- 偏差校正使得454,907个个体 (2,102,174次评估) 的eGFR得出,可评估数据增加了四倍.
- 纵向分析显示,每年eGFR的下降值为1.04mL/min/1.73m2/年,且有偏差校正,与现有文献相一致.
- 扩展数据集包括206,063名在8.7年的中位数内至少有两次eGFR评估的个人,以及相关的病信息.
结论:
- 基于偏差纠正的eMR的肌素数据通过大幅增加可用的eGFR评估数量,显著提高了英国生物银行的功能研究的实用性.
- 开发的方法允许对EGFR下降和病进展进行更强大,更广泛的纵向研究.
- 这种方法整合了多样化的数据来源,为在大量人口群体中对脏健康进行更全面的分析铺平了道路.
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