Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.
BMC Med Res Methodol. 2020 Mar 4;20(1):53. doi: 10.1186/s12874-019-0890-x.
Studies examining incident heart failure (HF) have been limited to select populations. To examine incident HF with broader generalizability, there is need to assemble a HF-free cohort using a geographically-diverse sample. We aimed to develop and validate a simple medication-based strategy for assembling a HF-free cohort from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study.
We examined REGARDS participants with ≥6 months of Medicare inpatient and outpatient claims data at the time of the baseline in-home study examination. To assemble a HF-free cohort, we identified and excluded participants taking HF-specific medications. To validate this approach, we evaluated event rates among this cohort and assessed diagnostic performance using Medicare claims-based definitions of HF as the referent standard.
Among 28,884 eligible participants, 3125 were excluded from the proposed HF-free cohort, leaving a total of 25,759 (89%) participants. Depending on the Medicare definition used as the referent, the negative predictive value of this approach ranged from 95.0-99.2%. Negative predictive value was stable across age, sex, and race strata.
The approach to assemble a HF-free cohort in REGARDS can serve as the basis for future studies to examine incident HF in REGARDS and similar studies.
研究心力衰竭(HF)发病的研究仅限于特定人群。为了更广泛地研究 HF 的发病情况,需要利用具有地理多样性的样本建立一个 HF 患者的无事件队列。本研究旨在制定并验证一种基于药物的策略,从 REasons for Geographic And Racial Differences in Stroke(REGARDS)研究中建立一个 HF 患者的无事件队列。
我们检查了 REGARDS 研究中在基线入户研究检查时至少有 6 个月 Medicare 住院和门诊索赔数据的参与者。为了建立一个 HF 患者的无事件队列,我们识别并排除了服用 HF 特定药物的参与者。为了验证这种方法,我们评估了该队列的事件发生率,并使用基于 Medicare 索赔的 HF 定义作为参考标准来评估诊断性能。
在 28884 名合格参与者中,有 3125 名被排除在拟议的 HF 患者的无事件队列之外,最终共有 25759 名(89%)参与者被纳入分析。根据作为参考标准的 Medicare 定义,这种方法的阴性预测值范围为 95.0-99.2%。阴性预测值在年龄、性别和种族分层中是稳定的。
REGARDS 中建立 HF 患者的无事件队列的方法可以为未来在 REGARDS 及类似研究中研究 HF 发病的研究提供基础。