Rationale & Objective: A large residual risk for atherosclerotic cardiovascular disease (ASCVD) remains in the setting of chronic kidney disease (CKD) despite treatment with statins. We sought to evaluate the associations of lipid and apolipoprotein levels with risk for ASCVD in individuals with CKD.
Study Design: Prospective cohort study.
Settings & Participants: Adults aged 21 to 74 years with non-dialysis-dependent CKD at baseline enrolled in the Chronic Renal Insufficiency Cohort (CRIC) Study in 7 clinical study centers in the United States.
Predictor: Baseline total cholesterol, non-high-density lipoprotein cholesterol (non-HDL-C), very low-density lipoprotein cholesterol (VLDL-C), triglycerides, low-density lipoprotein cholesterol (LDL-C), apolipoprotein B (Apo-B), HDL-C, and apolipoprotein AI (Apo-AI) values stratified into tertiles.
Outcome: A composite ASCVD event of myocardial infarction or ischemic stroke.
Analytic Approach: Multivariable Cox proportional hazards regression to estimate the risk for ASCVD for each tertile of lipoprotein predictor.
Results: Among 3,811 CRIC participants (mean age, 57.7 years; 41.8% white), there were 451 ASCVD events during a median follow-up of 7.9 years. There was increased ASCVD risk among participants with VLDL-C levels in the highest tertile (HR, 1.28; 95% CI, 1.01-1.64), Apo-B levels in the middle tertile (HR, 1.30; 95% CI, 1.03-1.64), HDL-C levels in the middle and lowest tertiles (HRs of 1.40 [95% CI, 1.08-1.83] and 1.77 [95% CI, 1.35-2.33], respectively), and Apo-AI levels in the middle and lowest tertiles (HRs of 1.77 [95% CI, 1.02-1.74] and 1.77 [95% CI, 1.36-2.32], respectively). LDL-C level was not significantly associated with the ASCVD outcome in this population (HR, 1.00 [95% CI, 0.77-1.30] for the highest tertile).
Limitations: Associations based on observational data do not permit inferences about causal associations.
Conclusions: Higher VLDL-C and Apo-B levels, as well as lower HDL-C and Apo-AI levels, are associated with increased risk for ASCVD. These findings support future investigations into pharmacologic targeting of lipoproteins beyond LDL-C, such as triglyceride-rich lipoproteins, to reduce residual risk for ASCVD among individuals with CKD.
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http://dx.doi.org/10.1053/j.ajkd.2018.11.010 | DOI Listing |
Am J Prev Cardiol
March 2025
St. Elizabeth Healthcare, 20 Medical Village Drive, Suite 103, Edgewood, KY 41017, USA.
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View Article and Find Full Text PDFEClinicalMedicine
January 2025
Department of Epidemiology, NHC Key Laboratory for Health Technology Assessment, Fudan University School of Public Health, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
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J Am Heart Assoc
December 2024
Arbor Research Collaborative for Health Ann Arbor MI USA.
Background: People with kidney failure have a high risk of cardiovascular morbidity/death, including thromboembolic events. Factor XIa inhibitors are a new class of anticoagulants in development that may offer antithrombotic benefits with a lower risk of incremental bleeding events than traditional therapies. We investigated major adverse vascular events (MAVEs), a relevant composite outcome for testing novel antithrombotic agents, in a large cohort of patients on hemodialysis, to better understand the key requirements to adequately design a phase 3 trial.
View Article and Find Full Text PDFSGLT-2i and GLP-1RA are recommended for persons with type 2 diabetes and atherosclerotic cardiovascular disease (ASCVD) but are underused in clinical practice. The COORDINATE-Diabetes randomized clincal trial evaluated a multi-faceted intervention to increase the use of evidence-based therapies for reducing cardiovascular risk among participants with diabetes and atherosclerotic cardiovascular disease. This analysis reports the discontinuation rate of SGLT-2i and GLP-1RA in follow up and summarises the clinician-reported reasons underlying these decisions.
View Article and Find Full Text PDFPLOS Digit Health
December 2024
Heart and Vascular Institute, Stamford Hospital, Stamford, Connecticut, United States of America.
Breast artery calcification (BAC) obtained from standard mammographic images is currently under evaluation to stratify risk of major adverse cardiovascular events in women. Measuring BAC using artificial intelligence (AI) technology, we aimed to determine the relationship between BAC and coronary artery calcification (CAC) severity with Major Adverse Cardiac Events (MACE). This retrospective study included women who underwent chest computed tomography (CT) within one year of mammography.
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