Suppr超能文献

使用PREVENT方程对美国慢性肾脏病患者群体进行心血管疾病风险评估。

Cardiovascular Disease Risk Estimates in the US CKD Population Using the PREVENT Equation.

作者信息

Walther Carl P, Gregg L Parker, Navaneethan Sankar D

机构信息

Selzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, Texas.

Selzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, Texas; Health Services Research and Development Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas; Renal Section, Medical Care Line, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.

出版信息

Am J Kidney Dis. 2025 Mar 5. doi: 10.1053/j.ajkd.2025.01.012.

Abstract

RATIONALE & OBJECTIVE: The 2023 American Heart Association (AHA) Predicting Risk of Cardiovascular Disease (CVD) EVENTs (PREVENT) equations incorporate estimated glomerular filtration rate (eGFR) and urinary albumin-creatinine ratio (UACR). We estimated CVD risk in the US chronic kidney disease (CKD) population using PREVENT and compared the estimates to the 2013 American Heart Association/American College of Cardiology pooled cohort equations (PCEs).

STUDY DESIGN

Cross-sectional study.

SETTING & PARTICIPANTS: Individuals aged 40-75 years with CKD (eGFR<60mL/min/1.73m and/or UACR≥30mg/g) without CVD were identified from National Health and Nutrition Examination Survey (NHANES) data (2013-2020).

EXPOSURE

Age, sex, total cholesterol, high-density lipoprotein cholesterol, systolic blood pressure, body mass index, eGFR, diabetes, smoking, antihypertensive use, statin use, urinary albumin-creatinine ratio, hemoglobin A1c.

OUTCOME

Estimated 10-year CVD, atherosclerotic CVD (ASCVD), and heart failure risks, and guideline-based statin eligibility.

ANALYTICAL APPROACH

Survey methods were used to produce cross-sectional estimates representing the US CKD population.

RESULTS

We identified 1,814 eligible individuals, representing 17.5 million people. Their mean age was 59.8 (95% CI, 59.2-60.4) years and 56.2% (95% CI, 52.4%-60.0%) were female. Mean 10-year ASCVD risk in CKD using PREVENT was 8.8% (95% CI, 8.3%-9.4%). This was lower than the risk estimated by PCEs by 5.2 (95% CI, 4.6-5.8) percentage points. The mean estimated 10-year heart failure risk was 11.6% (95% CI, 10.8%-12.3%) and 10-year CVD risk was 15.3% (95% CI, 14.4%-16.1%). The estimated proportion eligible for statin therapy with PREVENT was 63.4% (95% CI, 59.8%-67.0%) using the AHA primary prevention guideline and 85.9% (CI 83.2%-88.6%) using the Kidney Disease Improving Global Outcomes (KDIGO) guideline. Less than half of those eligible for statins for primary prevention based on the PREVENT equation and either the AHA or KDIGO guideline were receiving statin therapy.

LIMITATIONS

NHANES survey weights were not derived for this subpopulation, and years dating back to 2013 were included to achieve adequate sample size.

CONCLUSIONS

The estimated ASCVD risk was lower with the PREVENT equations compared with the PCEs. Despite the reduced risk estimate, a substantial unmet need for statin therapy in CKD was found.

PLAIN-LANGUAGE SUMMARY: Estimating the risk for developing cardiovascular disease (CVD) can guide prevention. Equations to predict cardiovascular risk are available, but the additional risk due to kidney disease has usually been neglected. The 2023 American Heart Association's Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) equations include kidney measures. We compared the estimated risk of CVD using PREVENT with that using a prior equation (without kidney measures) in people in the United States with chronic kidney disease. We found that the estimated risk of atherosclerotic CVD with the PREVENT equation was lower than with the prior equation, except for in people with the most advanced kidney disease. Despite the reduction in estimated risk, most individuals whose risk qualifies for statins did not report taking them. This highlights a major opportunity to prevent CVD.

摘要

原理与目的

2023年美国心脏协会(AHA)的心血管疾病(CVD)事件预测风险(PREVENT)方程纳入了估计肾小球滤过率(eGFR)和尿白蛋白肌酐比值(UACR)。我们使用PREVENT方程估计了美国慢性肾脏病(CKD)人群的CVD风险,并将这些估计值与2013年美国心脏协会/美国心脏病学会合并队列方程(PCEs)进行了比较。

研究设计

横断面研究。

设置与参与者

从国家健康与营养检查调查(NHANES)数据(2013 - 2020年)中识别出年龄在40 - 75岁、患有CKD(eGFR<60mL/min/1.73m²且/或UACR≥30mg/g)且无CVD的个体。

暴露因素

年龄、性别、总胆固醇、高密度脂蛋白胆固醇、收缩压、体重指数、eGFR、糖尿病、吸烟、使用抗高血压药物、使用他汀类药物、尿白蛋白肌酐比值、糖化血红蛋白A1c。

结局指标

估计的10年CVD、动脉粥样硬化性CVD(ASCVD)和心力衰竭风险,以及基于指南的他汀类药物适用资格。

分析方法

采用调查方法得出代表美国CKD人群的横断面估计值。

结果

我们识别出1814名符合条件的个体,代表1750万人。他们的平均年龄为59.8(95%CI,59.2 - 60.4)岁,56.2%(95%CI,52.4% - 60.0%)为女性。使用PREVENT方程估计的CKD患者10年ASCVD平均风险为8.8%(95%CI,8.3% - 9.4%)。这比PCEs估计的风险低5.2(95%CI,4.6 - 5.8)个百分点。估计的10年心力衰竭平均风险为11.6%(95%CI,10.8% - 12.3%),10年CVD风险为15.3%(95%CI,14.4% - 16.1%)。根据AHA一级预防指南,使用PREVENT方程估计的他汀类药物治疗适用比例为63.4%(95%CI,59.8% - 67.0%),根据改善全球肾脏病预后组织(KDIGO)指南为85.9%(CI 83.2% - 88.6%)。根据PREVENT方程以及AHA或KDIGO指南符合一级预防他汀类药物治疗条件的人群中,接受他汀类药物治疗的不到一半。

局限性

未针对该亚人群得出NHANES调查权重,且纳入了可追溯至2013年的数据以获得足够样本量。

结论

与PCEs相比,PREVENT方程估计的ASCVD风险更低。尽管风险估计有所降低,但发现CKD患者中他汀类药物治疗仍有大量未满足的需求。

通俗易懂的总结

估计患心血管疾病(CVD)的风险可指导预防工作。有预测心血管风险的方程,但通常忽略了肾脏疾病带来的额外风险。2023年美国心脏协会的心血管疾病事件预测风险(PREVENT)方程纳入了肾脏指标。我们比较了美国慢性肾脏病患者使用PREVENT方程与之前方程(未纳入肾脏指标)估计的CVD风险。我们发现,除了患有最晚期肾脏疾病的患者外,使用PREVENT方程估计的动脉粥样硬化性CVD风险低于之前的方程。尽管估计风险有所降低,但大多数符合他汀类药物治疗条件的个体并未报告正在服用。这凸显了预防CVD的一个重大机会。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验