退伍军人医疗保健系统临床数据库中高级慢性病的电子表现:模型开发和评估的基于系统的战略
Gajapathiraju Chamarthi1, Tatiana Orozco2, Popy Shell2
1Division of Nephrology, Hypertension and Transplantation, University of Florida, Gainesville, FL, United States.
Interactive journal of medical research
|July 24, 2023
概括
在电子健康记录中识别晚期慢性病 (CKD) 是一个挑战. 使用估计的淋巴细胞过率 (eGFR) 的新分层电子健康记录 (EHR) 现型,可以改善患有晚期CKD的退伍军人的实时识别.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 医疗信息学 医疗信息学
- 临床研究 临床研究
背景情况:
- 在临床数据库中精确识别晚期 (4-5期) 慢性病 (CKD) 往往是不可靠的.
- 针对这种患者群体是专业临床护理和研究计划的关键.
- 在电子健康记录 (EHR) 中识别晚期CKD的现有方法存在局限性.
研究的目的:
- 开发和验证一个基于系统的战略,用于识别患有晚期CKD的退伍军人.
- 检查常规诊断代码的准确性和预计的基于乳腺透率 (eGFR) 的表型,以检查晚期CKD在EHR中.
- 在退伍军人医疗保健系统中创建一个务实的EHR表型,用于实时识别先进的CKD队列.
主要方法:
- 在12个月内提取了一组患有晚期CKD的退伍军人,使用最新eGFR≤30ml·min-1·1.73m-2或ICD-10代码 (N18.4,N18.5) 的组合.
- 使用先前的EHR表型 (诊断代码,单个eGFR<30) 和已开发的操作表型 (高,中,低风险) 估计的晚期CKD患病率.
- 在6个月的随访期间,通过评估持续EGFR<30ml·min−1·1.73m−2的可能性来评估表型准确性.
主要成果:
- 鉴定了1759名退伍军人患有晚期非透析CKD;根据EHR表型,患病率从1%到1.5%不等.
- 诊断代码确定了62.9%,而EGFR指数<30确定了79.1%;高,中,低风险组分别包括52.7%,27.2%和17.9%.
- 新的表型显示了高准确性:94.2%的高风险,71%的中等风险和16.1%的低风险组在6个月的随访中保持了先进的CKD状态.
结论:
- 虽然CKD患病率在EHR表型中显示较小的变化,但在分层的eGFR值时,准确性会提高.
- 开发了一个基于EHR的实用模型,用于实时识别退伍军人中高级CKD.
- 这种分层方法有效地准了患有进展至末期脏疾病风险的患者群体.
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