将可计算的2型糖尿病表型定义进行比较,以确定临床研究感兴趣的种群
Priyanka D Sood1, Star Liu2, Rita R Kalyani3
1Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
在电子健康记录 (EHR) 中识别2型糖尿病 (T2D) 的不同方法产生了多样化的患者群体. 这项研究比较了五种常见的T2D表型,揭示了不同定义的患者人口统计和临床特征的显著差异.
科学领域:
- 生物医学信息学 生物医学信息学
- 临床研究信息学 临床研究信息学
- 糖尿病研究研究 糖尿病研究
背景情况:
- 电子健康记录 (EHR) 为识别患者队列提供了大量数据.
- 在2型糖尿病 (T2D) 的可计算表型定义中存在显著差异.
- 这些变异使得用于临床研究的T2D种群的鉴定变得复杂.
研究的目的:
- 在EHR数据中比较用于识别T2D患者的常见表型的变异.
- 了解不同可计算的表型定义对T2D人口识别的影响.
主要方法:
- 对207,813名成年患者 (2017-2019) 的电子病历数据进行了回顾性分析.
- 五种不同的T2D表型的比较:SPDM,CCW,eMerge西北,DDC和约翰霍普金斯的专家小组定义.
- 评估每个表型所识别的患者人口统计和临床特征.
主要成果:
- 每个表型都确定了一个独特的T2D群体,具有独特的特征.
- 只有22.7%的T2D患者在所有五个定义中被确定.
- 达勒姆糖尿病联盟 (DDC) 现型确定了最多的患者 (67.3%),而CCW的患者年龄最长,并具有最高的并发症评分.
结论:
- 可计算的T2D表型在将临床定义应用于EHR数据时引入了复杂性.
- 这些发现强调了选择适当的表型对于准确的T2D人口识别,招生和分析在EHR研究中的重要性.
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