利用非裔美国人的种族和无种族估计肾小球滤过率预测心血管事件和全因死亡率:杰克逊心脏研究。

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Frontiers in Medicine Pub Date : 2024-10-31 eCollection Date: 2024-01-01 DOI:10.3389/fmed.2024.1432965
Haiping Wang, Jiahui Cai, Hao Fan, Clarissa J Diamantidis, Bessie A Young, Aurelian Bidulescu
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引用次数: 0

摘要

背景:新开发的慢性肾脏病流行病学协作组(CKD-EPI)方程没有进行种族调整,用于估算肾小球滤过率(eGFR)。我们的目的是比较五个 CKD-EPI eGFR 方程在预测杰克逊心脏研究(Jackson Heart Study)中美国黑人的心血管疾病(CVD)事件和全因死亡率方面的性能(有无种族调整):JHS是一项正在进行的基于人口的前瞻性队列研究,研究对象是密西西比州杰克逊大都会地区的非裔美国人。该研究采用了五种 CKD-EPI 方程,利用血清肌酐 (Cr) 或胱抑素 C (cys) 估算基线时的 GFR,包括 2009 eGFRcr(ASR [年龄、性别、种族])、2021 eGFRcr(AS [年龄和性别])、2012 eGFRcr-cys(ASR)、2021 eGFRcr-cys(AS)、2012 eGFRcys(AS)。终点为心血管疾病事件和全因死亡率。在调整动脉粥样硬化风险因素后,采用 Cox 比例危险回归评估不同 eGFR 与结果之间的关系。哈雷尔C统计量和净重分类指数(NRI)用于评估预测效用:与 eGFRcr(ASR)、eGFRcr-cys(ASR)、eGFRcr-cys(AS)和 eGFRcys(AS)相比,eGFRcr(ASR)提供的估计值较低,导致更多的参与者被归类为 CKD。13.7 年和 14.3 年的中位随访显示,分别有 411 例(9.3%)心血管疾病和 1207 例(23.5%)死亡。与 eGFRcr(ASR)和 eGFRcr(AS)相比,eGFRcr-cys(ASR)、eGFRcr-cys(AS)和 eGFRcys(AS)与心血管疾病事件和全因死亡率密切相关。在包括动脉粥样硬化风险因素的基本模型中加入每种 eGFR 测量值后,发现预测心血管疾病事件和全因死亡率的 C 统计量有了明显提高。在 7.5% 的 10 年风险阈值范围内,eGFRcys(AS) 改善了全因死亡率的净分类(NRI:2.19,95%CI:0.08,4.65%)。纳入胱抑素 C 的 eGFR 增强了 eGFR 与心血管疾病发病风险和全因死亡率之间的关联。基于胱抑素C的eGFR方程可能更适合预测黑人的心血管疾病和死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of cardiovascular events and all-cause mortality using race and race-free estimated glomerular filtration rate in African Americans: the Jackson Heart Study.

Background: New Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations without a race adjustment were developed to estimate the glomerular filtration rate (eGFR). We aimed to compare the performance of five CKD-EPI eGFR equations, with or without race, in predicting cardiovascular disease (CVD) events and all-cause mortality in Black Americans from the Jackson Heart Study.

Methods: JHS is an ongoing population-based prospective cohort study of African Americans in the Jackson, Mississippi, metropolitan area. Five CKD-EPI equations were used to estimate GFR at baseline using serum creatinine (Cr) or cystatin C (cys), including 2009 eGFRcr(ASR [age, sex, race]), 2021 eGFRcr(AS [age and sex]), 2012 eGFRcr-cys(ASR), 2021 eGFRcr-cys(AS), 2012 eGFRcys(AS). Endpoints were incident CVD events and all-cause mortality. Cox proportional hazards regression was used to assess the associations between different eGFRs and outcomes adjusting for atherosclerotic risk factors. Harrell's C-statistics and Net Reclassification Index (NRI) were used to assess the predictive utility.

Results: Among 5,129 participants (average age 54.8 ± 12.8 yrs), 1898 were male (37.0%). eGFRcr(AS) provided lower estimates and resulting in a greater proportion of participants categorized as CKD than eGFRcr(ASR), eGFRcr-cys(ASR), eGFRcr-cys(AS) and eGFRcys(AS). A median follow-up of 13.7 and 14.3 years revealed 411 (9.3%) CVD incidents and 1,207 (23.5%) deaths. Lower eGFRs were associated with CVD incidents and all-cause mortality. eGFRcr-cys(ASR), eGFRcr-cys(AS) and eGFRcys(AS) were strongly associated with incident CVD events and all-cause mortality than eGFRcr(ASR) and eGFRcr(AS). A significant discrimination improvement was found in C-statistics for predicting incident CVD events and all-cause mortality after adding each eGFR measure to the basic model including atherosclerotic risk factors. Across a 7.5% 10-year risk threshold, eGFRcys(AS) improved net classification of all-cause mortality (NRI: 2.19, 95%CI: 0.08, 4.65%).

Conclusion: eGFR based on creatinine omit race has the lowest mean and detects more CKD patients in Black population. The eGFRs incorporating cystatin C strengthens the association between the eGFR and the risks of incident CVD and all-cause mortality. Cystatin C-based eGFR equations might be more appropriate for predicting CVD and mortality among Black population.

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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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