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包括衡量慢性肾脏病的措施,以改善 SCORE2 和 SCORE2-OP 的心血管风险预测。

Including measures of chronic kidney disease to improve cardiovascular risk prediction by SCORE2 and SCORE2-OP.

机构信息

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.

出版信息

Eur J Prev Cardiol. 2023 Jan 11;30(1):8-16. doi: 10.1093/eurjpc/zwac176.

Abstract

AIMS

The 2021 European Society of Cardiology (ESC) guideline on cardiovascular disease (CVD) prevention categorizes moderate and severe chronic kidney disease (CKD) as high and very-high CVD risk status regardless of other factors like age and does not include estimated glomerular filtration rate (eGFR) and albuminuria in its algorithms, systemic coronary risk estimation 2 (SCORE2) and systemic coronary risk estimation 2 in older persons (SCORE2-OP), to predict CVD risk. We developed and validated an 'Add-on' to incorporate CKD measures into these algorithms, using a validated approach.

METHODS

In 3,054 840 participants from 34 datasets, we developed three Add-ons [eGFR only, eGFR + urinary albumin-to-creatinine ratio (ACR) (the primary Add-on), and eGFR + dipstick proteinuria] for SCORE2 and SCORE2-OP. We validated C-statistics and net reclassification improvement (NRI), accounting for competing risk of non-CVD death, in 5,997 719 participants from 34 different datasets.

RESULTS

In the target population of SCORE2 and SCORE2-OP without diabetes, the CKD Add-on (eGFR only) and CKD Add-on (eGFR + ACR) improved C-statistic by 0.006 (95%CI 0.004-0.008) and 0.016 (0.010-0.023), respectively, for SCORE2 and 0.012 (0.009-0.015) and 0.024 (0.014-0.035), respectively, for SCORE2-OP. Similar results were seen when we included individuals with diabetes and tested the CKD Add-on (eGFR + dipstick). In 57 485 European participants with CKD, SCORE2 or SCORE2-OP with a CKD Add-on showed a significant NRI [e.g. 0.100 (0.062-0.138) for SCORE2] compared to the qualitative approach in the ESC guideline.

CONCLUSION

Our Add-ons with CKD measures improved CVD risk prediction beyond SCORE2 and SCORE2-OP. This approach will help clinicians and patients with CKD refine risk prediction and further personalize preventive therapies for CVD.

摘要

目的

2021 年欧洲心脏病学会(ESC)心血管疾病(CVD)预防指南将中重度慢性肾脏病(CKD)归类为高和极高 CVD 风险状态,无论年龄等其他因素如何,也不包括其算法中的估计肾小球滤过率(eGFR)和白蛋白尿,如系统性冠状动脉风险评估 2(SCORE2)和老年人的系统性冠状动脉风险评估 2(SCORE2-OP),以预测 CVD 风险。我们使用经过验证的方法开发并验证了一种“附加”方法,将 CKD 指标纳入这些算法中。

方法

在来自 34 个数据集的 3054840 名参与者中,我们为 SCORE2 和 SCORE2-OP 开发了三种附加项[eGFR 仅、eGFR+尿白蛋白与肌酐比值(ACR)(主要附加项)和 eGFR+尿蛋白试纸]。我们在来自 34 个不同数据集的 5997719 名参与者中验证了 C 统计量和净重新分类改善(NRI),并考虑了非 CVD 死亡的竞争风险。

结果

在没有糖尿病的 SCORE2 和 SCORE2-OP 的目标人群中,CKD 附加项(仅 eGFR)和 CKD 附加项(eGFR+ACR)分别提高了 SCORE2 的 C 统计量 0.006(95%CI 0.004-0.008)和 0.016(0.010-0.023),以及 SCORE2-OP 的 0.012(0.009-0.015)和 0.024(0.014-0.035)。当我们纳入患有糖尿病的个体并测试 CKD 附加项(eGFR+尿蛋白试纸)时,也观察到了类似的结果。在 57485 名患有 CKD 的欧洲参与者中,与 ESC 指南中的定性方法相比,SCORE2 或 SCORE2-OP 加 CKD 附加项显示出显著的 NRI[例如,SCORE2 为 0.100(0.062-0.138)]。

结论

我们的 CKD 指标附加项提高了 SCORE2 和 SCORE2-OP 以外的 CVD 风险预测。这种方法将帮助 CKD 患者的临床医生和患者改善风险预测,并进一步为 CVD 制定个性化的预防治疗策略。

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