The Impact of Sustained LDL-C Elevation on Plaque Changes: Primary Coronary plaque progression results from the Keto CTA Study
Budoff, M.; Kinninger, A.; Manubolu, V.; Norwitz, N.; Feldman, D.; Soto-Mota, A.
Show abstract
BackgroundCarbohydrate-restricted diets are gaining popularity, including among lean individuals. In these populations, a lipid phenotype often emerges comprising elevated LDL cholesterol (LDL-C), alongside elevated HDL-C and low triglycerides, termed the lean mass hyper-responder (LMHR). ObjectiveTo evaluate one-year coronary plaque progression in LMHRs and near-LMHRs. MethodsThis prospective study followed 100 participants who developed the triad of high LDL-C, high HDL-C, and low triglycerides after adopting a ketogenic diet over one year. Coronary plaque changes were assessed using coronary CT angiography and analyzed using the prespecified QAngio(R) methodology (Leiden, the Netherlands), with AI-enabled coronary plaque analysis (AI-CPA; HeartFlow(R) Inc., Mountain View, CA) used as an independent, blinded confirmatory analysis. Plaque burden and plaque progression predictors were examined using linear regression. ResultsAll 100 participants with elevated LDL-C and a mean BMI of 22.5 {+/-} 2.7 kg/m2 completed the study. At baseline, 57 (57%) had zero CAC. After follow-up, most participants remained with low-risk plaque burden markers: 81% of participants had a CAC score <100, and 54% had a CAC of 0. The median increase in non-calcified plaque volume was 5.6 mm3 (37% relative increase). Notably, 15% of participants exhibited plaque regression despite sustaining elevated LDL-C (mean 242 mg/dL) and ApoB (mean 180 mg/dL). Additionally, 78% had percent atheroma volume (PAV) below the high-risk threshold of 2.6%, and 93% had total plaque volume (TPV) below the high-risk threshold of 254 mm3. Baseline plaque metrics were consistently predictive of plaque progression. By contrast, neither ApoB levels nor cumulative LDL-C exposure predicted plaque progression in this population of LMHR and near-LMHR individuals. ConclusionThese findings suggest that over one year, progression was modest and heterogeneous in this population, with baseline coronary plaque emerging as the strongest predictor of subsequent plaque progression in LMHRs, whereas traditional lipid markers such as ApoB and LDL are not.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Insulin resistance potentiates the effect of remnant cholesterol on cardiovascular mortality in individuals without diabetes 95%
- LDLR Variant Classification for Improved Cardiovascular Risk Prediction in Familial Hypercholesterolemia 94%
- Polygenic Hyperlipidemias and Coronary Artery Disease Risk 94%
Similar papers in this journal
- Prevalence of Coronary Atherosclerosis in Master Female Endurance Athletes 95%
- Genetically Predicted IL-18 Inhibition and Risk of Cardiovascular Events: A Mendelian Randomization Study 93%
- Targeting of scavenger receptors Stabilin-1 and Stabilin-2 ameliorates atherosclerosis by a plasma proteome switch mediating monocyte/macrophage suppression 92%
Similar papers in this journal
- Metabolomics data improve 10-year cardiovascular risk prediction with the SCORE2 algorithm for the general population without cardiovascular disease or diabetes 94%
- Familial risk of myocardial infarction with non-obstructive and obstructive coronary arteries-A nation-wide cohort study 93%
- Polygenic prediction of coronary heart disease among 130,000 Mexican adults 92%
Similar papers in this journal
- Effects of Age and Sex on Systemic Inflammation and Cardiometabolic Function in Individuals with Type 2 Diabetes 94%
- Metabolic biomarkers for peripheral artery disease compared with coronary artery disease: Lipoprotein and metabolite profiling of 31,657 individuals from five prospective cohorts 94%
- The association between clonal hematopoiesis driver mutations, immune cell function and the vasculometabolic complications of obesity 93%
Similar papers in this journal
- Lipoprotein(a) and cardiovascular disease: prediction, attributable risk fraction and estimating benefits from novel interventions 94%
- Development and validation of a risk prediction algorithm for high-risk populations combining genetic and conventional risk factors of cardiovascular disease 92%
- Association between adiposity and cardiovascular outcomes: an umbrella review and meta-analysis 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.