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Some observational studies have observed a lower, rather than higher, mortality rate in association with hypercholesterolemia during follow-up of patients after cardiac stress testing. We aim to assess the relationship of hypercholesterolemia and other CAD risk factors to mortality across a wide spectrum of patients referred for various cardiac tests.We identified four cardiac cohorts: 64,357 patients undergoing coronary artery calcium (CAC) scanning, 10,814 patients undergoing coronary CT angiography (CCTA), 31,411 patients without known CAD undergoing stress/rest single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI), and 5051 patients with known CAD undergoing stress/rest SPECT-MPI. Each cohort was followed for all-cause mortality using risk-adjusted Cox models. We pooled the hazard ratios between cohorts with a random effects model. Baseline risk varied markedly among cohorts, from an annualized mortality rate of 0.31%/year in CAC patients to 3.63%/year among SPECT-MPI patients with known CAD. Hypertension, diabetes, and smoking were each associated with increased mortality in each patient cohort (pooled hazard ratio[95% CI]: 1.38[1.33-1.44], 1.88[1.76-2.00], and 1.67[1.48-1.86], respectively). By contrast, hypercholesterolemia was associated with decreased rather than increased mortality (pooled hazard ratio[95% CI]: 0.71[0.58-0.84]). Analysis of serum lipids among 7744 patients undergoing CAC or CCTA scanning revealed an inverse relationship between LDL cholesterol and mortality.Among a broad spectrum of patients referred for a variety of cardiac tests and ranging from low to high clinical risk, hypercholesterolemia was not associated with increased mortality risk. Our findings suggest that hypercholesterolemia may be sensitive to confounding by other clinical factors and post-test treatment changes in patient populations.

Objectives This study sought to assess the relationship between mean vs peak calcified plaque density and their impact on calculating coronary artery calcium (CAC) scores and to compare the corresponding differential prediction of atherosclerotic cardiovascular disease (ASCVD) and coronary heart disease (CHD) mortality. Background The Agatston CAC score is quantified per lesion as the product of plaque area and a 4-level categorical peak calcium density factor. However, mean calcium density may more accurately measure the heterogenous mixture of lipid-rich, fibrous, and calcified plaque reflective of ASCVD risk. Methods We included 10,373 individuals from the CAC Consortium who had CAC >0 and per-vessel measurements of peak calcium density factor and mean calcium density. Area under the curve and continuous net reclassification improvement analyses were performed for CHD and ASCVD mortality to compare the predictive abilities of mean calcium density vs peak calcium density factor when calculating the Agatston CAC score. Results Participants were on average 53.4 years of age, 24.4% were women, and the median CAC score was 68 Agatston units. The average values for mean calcium density and peak calcium density factor were 210 ± 50 Hounsfield units and 3.1 ± 0.5, respectively. Individuals younger than 50 years of age and/or those with a total plaque area 100. Conclusion Mean and peak calcium density may differentially describe plaque composition early in the atherosclerotic process. Mean calcium density performs better than peak calcium density factor when combined with plaque area for ASCVD mortality prediction among persons with Agatston CAC 1-99.

Background and aimsCoronary artery calcium (CAC) scores have been shown to be associated with CVD and cancer mortality. The use of CAC scores for overall and lung cancer mortality risk prediction for patients in the Coronary Artery Calcium Consortium was analyzed.MethodsWe included 55,943 patients aged 44-84 years without known heart disease from the CAC Consortium. There were 1,088 cancer deaths, among which 231 were lung cancer, identified by death certificates with a mean follow-up of 12.2±3.9 years. Fine-and-Gray competing-risk regression was used for overall and lung cancer-specific mortality, accounting for the competing risk of CVD death and after adjustment for CVD risk factors. Subdistribution hazard ratios (SHR) were reported.ResultsThe mean age of all patients was 57.1±8.6 years, 34.9% were women, and 89.6% were white. Overall, CAC was strongly associated with cancer mortality. Lung cancer mortality increased with increasing CAC scores, with rates per 1000-person years of 0.2 (95% CI: 0.1-0.3) for CAC=0 and 0.8 (95% CI: 0.6-1.0) for CAC ≥400. Compared with CAC=0, hazards were increased for those with CAC ≥400 for lung cancer mortality [SHR: 1.7 (95% CI: 1.2-2.6)], which was driven by women [SHR: 2.3 (95% CI: 1.1-4.8)], but not significantly increased for men. Risks were higher in those with positive smoking history [SHR: 2.2 (95% CI: 1.2-4.2)], with associations driven by women [SHR: 4.0 (95% CI: 1.4-11.5)].ConclusionsCAC scores were associated with increased risks for lung cancer mortality, with strongest associations for current and former smokers, especially in women. Used in conjunction with other clinical variables, our data pinpoint a potential synergistic use of CAC scanning beyond CVD risk assessment for identification of high-risk lung cancer screening candidates.

Background: Coronary artery calcium (CAC) is commonly quantified as the product of 2 generally correlated measures: plaque area and calcium density. Objectives: The authors sought to determine whether discordance between calcium area and density has long-term prognostic importance in atherosclerotic cardiovascular disease (ASCVD) risk. Methods: The authors studied 10,373 primary prevention participants from the CAC Consortium with CAC >0. Based on their median values, calcium area and mean calcium density were divided into 4 mutually exclusive concordant/discordant groups. Cox proportional hazards regression assessed the association of calcium area/density groups with ASCVD mortality over a median of 11.7 years, adjusting for traditional risk factors and the Agatston CAC score. Results: The mean age was 56.7 years, and 24% were female. The prevalence of plaque discordance was 19% (9% low calcium area/high calcium density, 10% high calcium area/low calcium density). Female sex (odds ratio [OR]: 1.48 [95% CI: 1.27-1.74]) and body mass index (OR: 0.81 [95% CI: 0.76-0.87], per 5 kg/m 2 higher) were significantly associated with high calcium density discordance, whereas diabetes (OR: 2.23 [95% CI: 1.85-3.19]) was most strongly associated with discordantly low calcium density. Compared to those with low calcium area/low calcium density, individuals with low calcium area/high calcium density had a 71% lower risk of ASCVD death (HR: 0.29 [95% CI: 0.09-0.95]). Conclusions: For a given CAC score, high calcium density relative to plaque area confers lower long-term ASCVD risk, likely serving as an imaging marker of biological resilience for lesion vulnerability. Additional research is needed to define a robust definition of calcium area/density discordance for routine clinical risk prediction.