Evidence map›Paper›PMID 40054593›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2025

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

Carl P Walther, L Parker Gregg, Sankar D Navaneethan

Abstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Carl P WaltherSelzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, Texas. Electronic address: walther@bcm.edu.
L Parker GreggSelzman 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.
Sankar D NavaneethanSelzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, Texas; Institute of Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Renal Section, Medical Care Line, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.

Funding

The kidney in advanced heart failure and durable mechanical circulatory support: phenotypes, prediction, and pathophysiologyK23DK122131 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI WALTHER, CARL · 2020 to 2024
$922k
MENTORED PATIENT-ORIENTED RESEARCH TOWARDS OPTIMIZING CARDIOVASCULAR OUTCOMES IN CHRONIC KIDNEY DISEASEK24HL161414 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI Sankar Dass Navaneethan · 2022 to 2026
$588k
CSRD VA IK2 CX002368NHLBI NIH HHS K24 HL161414NIDDK NIH HHS K23 DK122131
6 · The paper itself

Abstract

RATIONALE &

objectiveThe 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

designCross-sectional study. SETTING &

participantsIndividuals aged 40-75 years with CKD (eGFR<60mL/min/1.73m 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.

resultsWe 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.

conclusionsThe 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.

Indexed as

Cardiovascular DiseasesRenal Insufficiency, ChronicAdultAgedAlbuminuriaCreatinineCross-Sectional StudiesFemaleGlomerular Filtration RateHumansMaleMiddle AgedNutrition SurveysRisk AssessmentRisk FactorsUnited StatesCreatinineCardiovascular riskchronic kidney diseaserisk predictionstatin use

Identifiers

PMID40054593
PMCPMC12182995

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.