Atherosclerotic Cardiovascular Disease Events Research Articles

Adding traditional and emerging biomarkers for risk assessment in secondary prevention: A prospective cohort study of 20,656 patients with cardiovascular disease.

This study aims to explore whether conventional and emerging biomarkers could improve risk discrimination and calibration in secondary prevention of recurrent atherosclerotic cardiovascular disease (ASCVD), based on a model using predictors from SMART2. In a cohort of 20,658 UK Biobank participants with medical history of ASCVD, we analysed any improvement in C indices and net reclassification index (NRI) for future ASCVD events, following addition of LP-a, ApoB, cystatin C, HbA1c, GGT, AST, ALT, and ALP, to a model with predictors used in SMART2 for the outcome of recurrent major cardiovascular event. We also examined any improvement in C indices and NRIs replacing creatinine based estimated glomerular filtration rate (eGFR) with cystatin C based estimates. Calibration plots between different models were also compared. Compared with the baseline model (C index=0.663), modest increment in C indices were observed when adding HbA1c (ΔC=0.0064, p<0.001), cystatin C (ΔC=0.0037, p<0.001), GGT (ΔC=0.0023, p<0.001), AST (ΔC= 0.0007, p<0.005) or ALP (ΔC=0.0010, p<0.001) or replacing eGFRCr with eGFRCysC (ΔC=0.0036, p<0.001) or eGFRCr-CysC (ΔC=0.00336, p<0.001). Similarly, the strongest improvements in NRI were observed with the addition of HbA1c (NRI=0.014), or cystatin C (NRI= 0.006) or replacing eGFRCr with eGFRCr-CysC (NRI=0.001) or eGFRCysC (NRI=0.002). There was no evidence that adding biomarkers modify calibration. Adding several biomarkers, most notably cystatin C and HbA1c, but not LP-a, in a model using SMART2 predictors modestly improved discrimination.

Advanced biologic therapies are associated with fewer adverse cardiovascular events in patients with inflammatory bowel diseases

Abstract Background Chronic inflammation is an important contributor to the development of atherosclerotic cardiovascular disease (ASCVD) and associated events. Inflammatory Bowel Diseases (IBD) are chronic inflammatory conditions, and meta-analyses of cohort studies demonstrate an increased risk of ASCVD events in IBD patients. Advanced biologic therapies (ABT) targeting the immune system revolutionized treatment of IBD patients but the impact of these therapies on ASCVD events is not known. Purpose To investigate the impact of ABT on ASVCD events in IBD patients. Methods A retrospective cohort study was performed using the TriNetX Diamond Network, a multi-institutional database providing real-time access to de-identified electronic health records, with data updated on 02/14/2024. ABT were defined as one or more the following: infliximab, adalimumab, golimumab, certolizumab pegol, ustekinumab, risankizumab, vedolizumab, or natalizumab. ASCVD events were based on ICD codes for ischemic heart, cerebrovascular, and peripheral vascular diseases. Individuals &amp;gt;40 years with IBD were included. ASCVD events in (1) patients on ABT and (2) patients not on ABT (NABT) were compared. Propensity score matching was performed on sex, aspirin use, and the following ASCVD risk factors: age, hypertension, hyperlipidemia, tobacco use, and type 2 diabetes mellitus. Results This study includes 72,650 individuals in each of the two matched cohorts. There were no differences in baseline characteristics between the two propensity-score matched cohorts (Table). The probabilities of experiencing any ASCVD event at one, three, and five years in the ABT group were all significantly lower than in the NABT group (8.3% vs. 12.4%, OR 0.64; 13% vs. 18.6%, OR 0.66; and 15% vs. 21.2%, OR 0.65; respectively, all p&amp;lt;0.01). Similarly, the probability of experiencing an ischemic heart disease event at one, three, and five years in the ABT group were all significantly lower than in the NABT group (5.2% vs. 7.9%, OR 0.64; 8% vs. 11.7%, OR 0.66; and 9.2% vs. 13.4% OR 0.66; respectively, all p&amp;lt;0.01). The probability of cerebrovascular disease events at one, three, and five years in the ABT group were all significantly lower than in the NABT group (2% vs. 3.3%, OR 0.59; 3.5% vs. 5.7%, OR 0.59; and 4.2% vs. 6.8% OR 0.60; respectively, all p&amp;lt;0.01) and the probability of a peripheral artery disease event at one, three, and five years in the ABT group were also all significantly lower than in the NABT group event (2.8% vs. 4.5%, OR 0.62; 5.1% vs. 7.6%, OR 0.65; and 6.2% vs. 9.3% OR 0.65; respectively, all p&amp;lt;0.01). Conclusions ABT are associated with significantly fewer ASCVD events in the IBD patient population. Future studies examining the differential benefit of drug subclasses on ASCVD outcomes and mechanisms responsible for the ABT benefit, as well as prospective study designs have the potential to identify new therapeutic targets in IBD patients and with applicability beyond IBD patients.Table

Low-density lipoprotein cholesterol goal attainment with "inclisiran first" versus usual care in patients with atherosclerotic cardiovascular disease

Abstract Background Rapid and sustained attainment of guideline-recommended low-density lipoprotein cholesterol (LDL-C) goals is critical for patients with atherosclerotic cardiovascular disease (ASCVD). In VICTORION-INITIATE, inclisiran administered twice-yearly by a healthcare professional earlier in the treatment pathway allowed more patients with ASCVD to achieve and sustain LDL-C goals vs current usual care (UC). Purpose To evaluate cumulative LDL-C exposure in the overall population and LDL-C goal attainment and safety in subgroups of participants (type of ASCVD, timing of ASCVD event, and history of statin intolerance) who received an "inclisiran first" implementation strategy (IF; adding inclisiran immediately on failure to achieve LDL-C &amp;lt;70 mg/dL [1.8 mmol/L] with maximally tolerated statins) compared with UC. Methods VICTORION-INITIATE was a 330-day, prospective, pragmatically designed trial that randomised participants 1:1 (stratified by insurance status) to IF (open-label inclisiran 284 mg at Days 0, 90 and 270 plus UC) or UC alone (lipid management directed by treating physician’s discretion). The study took place at 45 sites across 20 states in the USA. Treating physicians had access to LDL-C measurements and were encouraged to intensify treatment per clinical practice guidelines. This prespecified subgroup analysis evaluated LDL-C goal attainment by timing of the most recent ASCVD event (&amp;lt;1 year/≥1 year prior to consent), ASCVD subtype (coronary heart disease [CHD], peripheral arterial disease [PAD], and cerebrovascular disease [CVD]) and statin intolerance status. Cumulative LDL-C exposure over time in the overall population and safety by subgroup were also evaluated. Results Of 450 patients randomised to IF or UC, 11.1% and 84.2% had an ASCVD event &amp;lt;1 year or ≥1 year prior to consent, respectively; 91.8%, 18.2% and 14.7% had a history of CHD, CVD or PAD, and 25.8% were statin intolerant. Cumulative exposure to LDL-C to Day 330 was lower in patients treated with IF vs UC (mean time-adjusted LDL-C: 42.4 mg/dL vs 90.7 mg/dL, Figure). Significantly more patients who received IF achieved LDL-C goals of &amp;lt;70 mg/dL and &amp;lt;55 mg/dL at Day 330 vs UC, irrespective of subgroup (Table). Across subgroups, the incidence of treatment-emergent adverse events (TEAEs) and serious TEAEs were similar between IF and UC (IF: 52.6−71.2%, UC: 46.2−66.0% and IF: 10.7−28.3%, UC: 11.4−22.2%, respectively). Conclusions Participants with ASCVD and LDL-C &amp;gt;70 mg/dL who received IF had lower cumulative LDL-C exposure over the study period than those treated with UC. IF resulted in rapid and sustained achievement of LDL-C goals regardless of ASCVD subtype, event timing and statin intolerance. The safety profile of IF was consistent across the subgroups analysed.

Estimation of individual lifetime cardiovascular disease risk and treatment benefit in patients with established atherosclerotic cardiovascular disease: the updated SMART-REACH2 model

Abstract Background The 2021 ESC Guidelines on Cardiovascular Disease (CVD) Prevention in Clinical Practice recommend using (lifetime) risk to guide preventive treatment intensification. Purpose Updating and systematically recalibrating the SMART-REACH lifetime prediction model for the estimation of lifetime risk of recurrent CVD in patients with established atherosclerotic CVD (ASCVD) to various European and international risk regions. Methods The updated SMART-REACH (i.e., SMART-REACH2) model was derived using data from 9,477 individuals between 40-90 years with coronary artery disease, cerebrovascular disease, peripheral artery disease, or abdominal aortic aneurysms included in the UCC-SMART cohort in whom 2,090 ASCVD events were observed during a median follow-up of 8.9 years (interquartile range 4.5–14.1). Coefficients for type of CVD, estimated glomerular filtration rate, non-high density lipoprotein cholesterol, systolic blood pressure, duration of CVD, C-reactive protein, current smoking, and presence of diabetes were derived using sex-stratified cause-specific Cox models with age as the time axis, adjusted for the competing risk of non-CVD mortality. Lifetables were used to estimate 10-year and lifetime CVD-risk and CVD-free life expectancy. The SMART-REACH2 model was externally validated in 121,701 patients from the NOR-COR, Nor-COAST, HUNT3, SWEDEHEART, Bialystok PLUS/Polaspire, REACH-EU, and REACH non-EU (Asia, Japan, Latin America, North America) covering 43 countries. The model was recalibrated to specific risk regions based on the expected-observed ratios from representative cohorts. Performance was assessed by calibration of predicted and observed risk and Harrel’s C-statistic for discrimination. Results 16,689ASCVD events were observed in the external validation cohorts. The model was visually well calibrated for the various risk regions. The pooled C-statistic across risk regions was 0.665 [95% confidence interval 0.640-0.691], with adequate performance in the separate regions (Figure 1). Using SMART-REACH2 to estimate potential gain in CVD-free life expectancy upon treatment initiation showed varying projections. For example, two comparable 55-year-old males from the low-risk region and very high-risk region would gain an estimated 2.2 and 3.9 CVD-free life years as a result of smoking cessation (Figure 2). Conclusion(s) By using larger and more contemporary data sources, considering geographical differences, and extending the age range, the updated SMART-REACH2 model provides an improved algorithm for the estimation of lifetime risk and CVD-free life expectancy for individuals with established ASCVD, facilitating shared decision-making for cardiovascular prevention as recommended by the 2021 ESC Prevention of CVD guidelines.C-statistics across global risk regionsCase vignette

LDL-C target attainment and statin use in patients with ASCVD, familial hypercholesterolaemia, and those otherwise at moderate/high-risk of ASCVD in australian general practice (SCOPE-GP)

Abstract Background The proportion of Australian general practice patients not attaining low-density lipoprotein cholesterol (LDL-C) goals is not well described. The SCOPE-GP study evaluated duration of LDL-C exceeding treatment goals, statin use and discontinuation rates in patients with atherosclerotic cardiovascular disease (ASCVD), without ASCVD events but at moderate/high-risk, and familial hypercholesterolemia (FH). Methods This population-based retrospective cohort study used de-identified medical records of adult patients captured in the IQVIA GP-EMR database. Patients were indexed at the earliest date of ASCVD, FH, or hyperlipidemia diagnosis from January 1, 2010 to June 30, 2022, with a variable follow-up period from index to June 30, 2022. Ascertainment of study cohort was based on the 2021 ESC/EAS guidelines and Framingham Risk Equation. LDL-C test result levels were extracted per patient, summarised and analysed. Patients were stratified based on their test results at latest results/closest to censor date. Average time above target levels is the proportion of number of days above LDL-C target levels over total number of follow-up days for each patient. A Poisson distribution was fitted to estimate 95% confidence interval. Lipid lowering therapies (LLT) were stratified by (ASCVD, FH and moderate/high risk of CVD) at last visit/censor date. Combination of LLT were defined as prescriptions for fixed dose combinations or ≥2 separate scripts of LLT from different classes within 180 days from last visit/censor date (look back period). Discontinuation is defined as no statins were prescribed again after the last script for 270 days or more, limited to the first occurrence. Results The average time with LDL-C levels above target was 1077.5 days in ASCVD patients (n=2,688), 938.6 days in moderate-risk ASCVD (n=37,003), 980.9 days in high-risk ASCVD (n=85,199), and 900.8 days in FH (n=279). The proportion of days above target level for all four cohorts is described in Figure 1. Among 107,552 patients with recorded LDL-C levels ≥1.8mmol/L at their last visit/censor date, 30.9% were on statin monotherapy and 1.0% were on statin+ezetimibe. Statin use was highest in ASCVD patients (65.4%), followed by FH (49.5%), high risk (40.0%) and moderate risk subjects (29.5%) (Table 1). Statin discontinuation rates were 60.3%, 76.3, 66.1%, and 65.8% in these groups, respectively. The predominant reason for statin discontinuation was non-specific adverse drug reactions (12.2% ASCVD, 11.7% moderate-risk, 13.2% high-risk and 17.9% FH). The proportion of subjects contraindicated to statins was highest in moderate risk subjects (0.05%). Conclusions Prolonged periods of elevated LDL-C and high statin discontinuation rates were prevalent among at-risk individuals in Australian primary care. This underscores a significant ASCVD burden that could be prevented with more active lipid management.

The association between cardiovascular health and physiologic age as determined by artificial intelligence-enabled electrocardiography

Abstract Background The concept of ideal cardiovascular health (CVH) was developed by the American Heart Association (AHA) as a composite of seven health factors and behaviors labeled as the Life’s Simple 7 (LS7). Ideal CVH has been associated with complex measures of cardiovascular aging. We hypothesized that physiologic aging, as determined by a simple, routinely used tool such as the electrocardiogram (ECG) enabled by an artificial intelligence algorithm to predict an individual’s physiologic age (ECG age), will be associated with poor CVH as defined by an adapted version of the AHA LS7. Methods We conducted an observational retrospective study of consecutive patients aged ≥18 years who sought care between June 2019 and March 2022, self-reported behavioral history through a validated intake questionnaire in clinical outpatient visits, had a clinically indicated ECG within one year, and provided research authorization. We applied a previously developed AI-ECG convolutional neural network to derive the ECG-Age. We excluded patients with missing data, those with body mass index (BMI) &amp;lt;18.5 kg/m2, previous history of left-bundle branch block, atherosclerotic cardiovascular disease events, atrial fibrillation, heart failure, and non-skin cancer. An adapted version of the LS7 was used to define CVH, which includes anthropometrics (e.g., BMI), behavioral history (e.g., smoking, physical activity, and diet), vital signs (e.g., blood pressure), and laboratory values (e.g., total cholesterol, and fasting glucose). CVH was stratified as ideal, intermediate, and poor if the LS7 score had values of 9-14, 7-8, and 0-6, respectively, constructed by adding 2,1 or 0 points to each metric that met each category criteria, respectively. Accelerated aging was defined as having a Delta-Age ≥1SD above the mean, whereas Delta-age was defined as ECG minus chronological age. Logistic regression models tested the association between CVH categories and positive Delta-Age while adjusting for chronological age and sex. Results We included 114,214 individuals (53.3% females, 86.9% Caucasian). Mean chronological age was 57.7±14 years and mean AI-ECG- Age was 58 ± 12.44 years (R2 0.80, p-value &amp;lt;0.001). Mean Delta-Age was 0.28 ±8.8 years. LS7 average score was 8.3 ± 2.23; 46.8% had ideal, 31.5% intermediate, and 21.7% had poor CVH (Figure A). Compared to those with ideal CVH, those with poor CVH were more than 50% more likely to have Delta-Age ≥1SD (OR 1.61, CI 95% 1.54-1.69, p-value: &amp;lt;0.001), independent of chronological age and sex. (Figure B). Conclusion Poor CVH, defined by the AHA LS7, is linked with biological aging as determined by AI-enabled ECG, highlighting the importance of promoting CVH in adults as a strategy to decelerate biological aging and reduce its associated mortality.

Lower rate of ischemic events with PCSK9 inhibition in patients with atherosclerotic cardiovascular disease but without prior ischemic events

Abstract Background Individuals with atherosclerotic cardiovascular disease (ASCVD) without prior ischemic events, such as myocardial infarction (MI), ischemic stroke (IS), or unstable angina (UA) hospitalization, are at very high risk for having an event. Purpose To estimate the impact of PCSK9 inhibitor (PCSK9i) therapy on ischemic events in this population. Methods Patients with ASCVD were initially selected from the Optum Research Database during Jan 2016 to Dec 2022. For selected patients the index (time zero for follow-up) was required to be in a period of ASCVD without prior ischemic events, however patients may have ischemic events after index. Determination of ASCVD and ischemic events was based on diagnosis and procedure codes. For the PCSK9i group, index was initiation of PCSK9i and information before index was examined to ascertain ASCVD and rule out prior ischemic events. For each patient in the PCSK9i group, up to 5 matching patients in the no-PCSK9i group were chosen based on propensity score (PS) distance, with maximum allowable PS distance of 0.1. Among all possible choices for index for the no-PCSK9i patient, the selected one minimized the PS-distance. The primary endpoint was defined as the composite of nonfatal MI, nonfatal IS, and all-cause death. In order to further reduce bias and ensure causally interpretable estimation, the G-computation methodology was employed by marginalizing the conditional treatment effect (as estimated by a Cox model) over the baseline characteristics. Two effects were estimated: intention-to-treat (ITT) where only the treatment assignment at index was considered as the intervention, and per-protocol (PP) where the effect of sustained treatment with PCSK9i over time was estimated. Results A total of 15,067 and 66,470 patients met the selection criteria for the PCSK9i and no-PCSK9i groups, respectively. Baseline characteristics were well-balanced at index. G-computation analysis resulted in estimated survival curves over time in the two groups for the ITT and PP scenarios (Figures 1 and 2). For the ITT scenario, the estimated 5-year event rate was 18.7% (95% confidence interval [CI]: 17.1%–20.1%) in the PCSK9i group and 28.4% (95% CI: 27.7%–29.1%) in the no-PCSK9i group. The implied relative risk reduction (RRR) and absolute risk reduction (ARR) were 34.3% (p&amp;lt;0.001) and 9.7% (p&amp;lt;0.001), respectively, in favor of the PCSK9i group. For the PP scenario, the estimated 5-year event rate was 10.7% (95% CI: 9.7%–11.7%) in the PCSK9i group and 28.8% (95% CI: 28.3%–29.5%) in the no-PCSK9i group. The implied RRR and ARR were 62.7% (p&amp;lt;0.001) and 18.1% (p&amp;lt;0.001), respectively, in favor of the PCSK9i group. Conclusions Initiation of PCSK9i in patients with ASCVD but without prior ischemic events is associated with significantly and substantially lower risk for ischemic events.Event Rates Intention-to-Treat ScenarioEvent Rates Per-Protocol Scenario

Contemporary LDL-cholesterol management in male and female patients at high-cardiovascular risk: results from the European observational SANTORINI study

Abstract Background Middle aged women have a faster increase in atherosclerotic cardiovascular disease (ASCVD) events than men over time. Undertreatment with guideline-recommended therapy in women may be one of the drivers for this burden. Purpose To compare high- or very high-risk male and female patients regarding contemporary 1-year low-density lipoprotein cholesterol (LDL-C) goal attainment, lipid-lowering therapy (LLT) intensity, and major adverse cardiovascular event (MACE) rate. Methods SANTORINI is an observational, prospective study that enrolled high- and very high-cardiovascular risk patients between March 2020 and Feb 2021, across 623 sites and 14 countries in Europe from primary &amp; secondary care settings, with a further 1-year prospective follow-up. We included all patients with an LDL-C measurement at baseline and 1-year follow up (1yFU) for the current analysis. LDL-C goal attainment was defined separately for high and very-high risk categories according to 2019 ESC/EAS guidelines. Results Overall, 5197 males with a mean age of 65 years, and 2013 females with a mean age 66 years were included. At baseline, male patients had higher prevalence of pre-existing ASCVD (81.6% vs. 63.5%), and a lower prevalence of familial hypercholesterolaemia (8.7% vs. 17.2%) than female patients (Table 1). The proportion of patients reaching LDL-C goal improved from baseline to 1yFU, but was greater in males (22.9% and 33.3%, respectively) than females (16.9% and 24.6%, respectively). Similarly, the proportion of patients receiving no LLT decreased from baseline to 1yFU for both sexes, however, more females than males received no LLT at 1yFU (male: 20.7% to 2.7%; female: 23.9% to 3.9%). High intensity statin use increased for both sexes but was higher for males (22.2% to 27.3%) than for females (15.5% to 19.5%) at 1yFU. By contrast, PCSK9i use at baseline and 1yFU was lower for males (6.6% to 9.3%) than for females (9.8% to 13.4%). Nevertheless, the use of combination LLT at 1yFU was lower among females than males (male: 27.8% to 42.2%; female: 26.7% to 40.2%). During follow-up, MACE-4 was higher in males (5.31/100 patient years [PY]; 95% confidence interval [CI]: 4.68–5.95) than in females (3.63/100PY; 95% CI: 2.79–4.47). Similar results were observed for MACE-3 (Table 2). Conclusions Despite similar guideline recommendations, use of combination LLT and high intensity statin therapy was lower in female patients at high or very high cardiovascular risk than in male patients over one year of follow-up. Accordingly, female patients had lower LDL-C goal attainment both at baseline and at one-year. Nevertheless, due to intrinsic risk factors, female patients had lower rates of MACE-4 and MACE-3 than male patients.

Red cell distribution width as a predictor of cardiovascular events in high-risk patients with statin intolerance: post-hoc analysis of the CLEAR Outcomes trial

Abstract Background Despite optimal lipid-lowering therapy there is up to 70% residual risk of recurrent atherosclerotic cardiovascular disease (ASCVD) events, motivating further testing of alternative risk factors and disease pathways. Red cell distribution width (RDW) is a simple and reproducible marker of heterogeneity of cell size in the peripheral blood. High RDW is associated with an increased risk of ASCVD and death, independent of established risk factors. Recent data suggest no significant impact of PCSK9 inhibitors on hsCRP or RDW. In CLEAR Outcomes, baseline hsCRP predicted risk for future cardiovascular (CV) events and death more strongly than elevated LDL-C. It has been shown that bempedoic acid (BA) reduces hsCRP, but its effects on RDW are unknown. Purpose To analyze the effect of BA on a 4-component composite of incident myocardial infarction, stroke, coronary revascularization, or cardiovascular death (MACE-4) and for CV death by baseline RDW, and to confirm the association of increased RDW with elevated risk of MACE. Methods A total of 13,970 individuals with statin intolerance, with or at high risk for ASCVD, were randomized in the multinational CLEAR Outcomes trial with a median follow up of 3.4 years. Compared to placebo, BA reduced mean LDL-C by 21% and median hsCRP by 22% at 6 months. Quartiles of increasing baseline RDW were assessed as predictors of future adverse events after adjustment for traditional risk factors, hsCRP, and randomized treatment assignment. Results Compared to placebo, BA reduced mean RDW by 0.28% at 6 months and 0.13% at 36 months (p&amp;lt;0.0001). There was a weak positive correlation between hsCRP and RDW at baseline (Figure 1). In the placebo group, higher baseline RDW was associated with an increase in the likelihood of MACE-4 and CV death, and the hazard ratios (HR) associated with a 1% increase in RDW after adjusting for covariates and hsCRP were 1.06 (95% CI 1.02-1.11) and 1.22 (1.15-1.29), respectively. When grouped by quartiles of baseline RDW, compared with a reference group with lowest RDW (&amp;lt;13.7%), there was a notable increase in the risk of MACE-4 and CV death among the higher quartiles in the placebo group (Table 1). Those in the 4th quartile demonstrated a 3-fold increase in the risk of CV death (HR, 3.03, 2.00-4.60). The adjusted HRs (95% CI) for BA vs placebo for MACE-4 were generally lower in individuals with elevated baseline RDW than in those in the first quartile [Q1: RDW≤13.7%; 0.96 (0.79-1.17), Q2: RDW 13.7%-14.4%; 0.81 (0.67-0.97), Q3: RDW 14.4%-15.2%; 0.90 (0.75-1.09), and Q4: RDW&amp;gt;15.2%; 0.84 (0.7-1.01)]. Conclusions In a large randomized controlled clinical trial setting, we confirmed an association between elevated RDW and MACE-4. Compared with placebo, BA demonstrated efficacy in reducing CV risk in patients with moderately increased RDW.Figure 1.Correlation of hsCRP and RDWTable 1.Risk of Outcome by RDW Quartile

Prognostic role of remnant cholesterol and traditional cardiovascular risk factors in young adults: results of long-term follow-up of a cohort of 30-year-old norwegians

Abstract Background There are limited data on the prevalence and impact of traditional cardiovascular (CV) risk factors among young adults. In addition, more knowledge on novel CV risk factors is needed to explain the residual risk beyond that of the traditional risk factors. Increasing evidence suggest a causal role of remnant cholesterol (RC) in the development of atherosclerotic cardiovascular disease (CVD) and subsequent clinical events. However, the role of RC in young adults is unresolved. Purpose We aimed to evaluate the prevalence of traditional risk factors and the respective sex-differences in young adults, as well as their association with long-term CV events. Further, we hypothesized that higher RC concentrations are associated with impaired CV prognosis. Methods In year 2000, all 30-year-old inhabitants of our city were invited to a cross-sectional study including assessment of health status, anthropometric measurements, and non-fasting blood samples. RC was calculated as total cholesterol minus (LDL-C + HDL-C). Long-term clinical follow-up was performed through linkage with mandatory national registries, 22 years after inclusion. The primary outcome was a composite of cardiovascular death, non-fatal myocardial infarction, non-fatal ischemic stroke, hospitalization for unstable angina and coronary revascularization. Results A total of 5950 individuals were included (56% women). At baseline, men displayed significantly higher systolic and diastolic blood pressure, total cholesterol, LDL-C and triglycerides, as compared with women (Table 1). Also, men had higher levels of RC (Table 1). During a mean follow-up time of 22 years, 108 events (1.8%) occurred. In multivariable Cox regression analysis, non-West-European ancestry (adjusted [a] HR 1.76, 95% confidence interval [CI] 1.03-2.99), diabetes mellitus (aHR 6.39, 95% CI 2.52-16.2), systolic blood pressure (aHR 1.03, 95% CI 1.01-1.04), and LDL-cholesterol (aHR 1.37, 95% CI 1.11-1.68) were associated with an increased risk of CV events during long-term follow-up. Female gender was associated with a reduced risk of CV events (aHR 0.38, 95% CI 0.23-0.64), whereas smoking status did not show any significant association. RC was identified as a significant predictor of CV events (aHR 1.55, 95% CI 1.11-2.18, per 1.0 mmol/L increase). The highest RC quartile (mean RC: 1.1 mmol/L), had the highest event rate (Figure 1, p&amp;lt;0.001 with log-rank test). Conclusion This study uncovers significant sex-differences in modifiable CV risk factors among young adults at the age of 30, which are associated with increased risk for long-term CV events. Interestingly, increasing concentrations of RC at the age of 30 were strongly associated with impaired long-term CV outcome and should be accounted for in early risk prediction.Baseline characteristics.Remnant cholesterol and CVD events.

Lipoprotein(a) metabolomic and proteomic features and atherosclerotic cardiovascular disease in young, asymptomatic adults

Abstract Background Lipoprotein (a) [Lp(a)] is associated with an increased risk of atherosclerotic cardiovascular disease (ASCVD) events. Although Lp(a) is a powerful genetic risk factor for ASCVD, the pathways that mediate this risk and the associated metabolomic and proteomic features that capture this risk are unknown. Methods In young, asymptomatic Coronary Artery Risk Development in Young Adults (CARDIA) participants, we defined the relationships between Lp(a) and metabolomic (n=563)/proteomic (n=184) features, derived quantitative Lp(a)-omic scores from these features, and related these quantitative scores to ASCVD phenotypes. Results CARDIA subjects had a mean age of 32 years and a median follow-up of 27 years. In the overall cohort (n=3920), Lp(a) levels at year 7 (Y7) were significantly associated with ASCVD endpoints, including hs-CRP, coronary artery calcification (CAC), death, and incident CHD (Figure 1A). In the subcohort (n=2290) that had measurements of Lp(a), proteomics, and metabolomics, Y7 Lp(a) levels were associated with distinct proteomic and metabolomic features indicative of immune responses, lipoprotein metabolism, atherogenesis, and arginine/steroid biosynthesis. Using machine learning approaches, Lp(a) metabolomic, proteomic, and transomic quantitative scores were derived. After adjustment, the Lp(a) transomic score was more strongly related to incident CAC, degree of CAC, CRP, and incident CHD than Lp(a) itself (Figure 1B). Conclusions To our knowledge, this is the first study to examine the relationship between Lp(a), metabolomic/proteomic features, and ASCVD phenotypes in young, asymptomatic adults. The multi-omics approaches employed here provide insight into the pathobiology of Lp(a)-driven ASCVD and enable more nuanced mechanistic risk assessment compared with Lp(a) alone.

Effect of alirocumab on coronary plaque stratified by atherothrombotic risks

Abstract Background Previous clinical studies have shown that high-risk subgroups including patients with major atherosclerotic cardiovascular disease (ASCVD) events and multiple atherothrombotic risk factors derive enhanced cardiovascular benefit from proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibition. To date, the effect of alirocumab on coronary plaque regression stratified by the number of atherothrombotic risk factors remains unknown. Purpose To investigate the utility of atherothrombotic risk stratification to identify patients with acute myocardial infarction (AMI) who have the greatest potential for benefit on plaque regression as assessed by intracoronary imaging from the addition of alirocumab to high-intensity statin therapy. Methods This was a substudy of the PACMAN trial, a randomized, double-blind trial comparing biweekly alirocumab (150 mg) versus placebo in AMI patients undergoing percutaneous coronary intervention. Intravascular ultrasound (IVUS) was serially performed in non-infarct-related coronary arteries at baseline and after 52 weeks. Atherothrombotic risk factors defined in the 2018 ACC/AHA cholesterol guidelines include myocardial infarction, ischemic stroke, peripheral artery disease, age ≥65 years, familial hypercholesterolemia, coronary revascularization, diabetes, hypertension, chronic kidney disease, current smoking, LDL-C ≥100 mg/dL despite maximum tolerated statin therapy, and history of heart failure. The key endpoint was the change in IVUS-derived percent atheroma volume (PAV) from baseline to 52 weeks. Results A total of 263 patients available for serial IVUS data were analyzed for the current study. The most prevalent atherothrombotic risk factors were current smoking (49%), hypertension (43%), and age ≥65 years (24%). Patients were divided into 3 groups according to the number of risk factors (0 risk factor: n=52, 1 risk factor: n=101, ≥2 risk factors: n=100). Patients with risk factors had greater PAV at baseline compared with those with 0 risk factor (39.0% vs. 42.6% vs. 42.8%, P=0.008). The addition of Alirocumab to high-intensity statin therapy demonstrated a significant reduction in PAV among patients with 0 risk factor (-2.66% vs. -1.02%, P=0.009) and those with 1 risk factor (-2.36% vs. -0.76%, P&amp;lt;0.001) (Figure 1). In contrast, patients with ≥2 risk factors had no significant PAV reduction by alirocumab (-1.72% vs. -1.12%, P=0.076, P for interaction=0.009). Conclusions Among AMI patients with no or 1 atherothrombotic risk factor, the addition of alirocumab to high-intensity statin therapy demonstrated greater coronary plaque regression. Patients with fewer risk factors thus appear to be more susceptible for atheroma regression.Change in PAV stratified by risk factors

Lipid management among very-high-risk patients with atherosclerotic cardiovascular disease and type 2 diabetes

Abstract Background Patients with established atherosclerotic cardiovascular disease (ASCVD) and type 2 diabetes (DM2) often meet very-high-risk (VHR) criteria for recurrent ASCVD events and are recommended for aggressive low-density lipoprotein-cholesterol (LDL-C) lowering in guidelines. Purpose Our study aimed to evaluate the proportion of patients achieving guideline-based lipid goals and identify factors associated with achieving these goals among VHR patients with established ASCVD and DM2. Methods Electronic health record data were used to identify VHR patients with established ASCVD and DM2 across 14 large US healthcare systems between 1/1/2022-12/31/2022 with an available LDL-C measurement. We examined the percentage of patients achieving guideline-based lipid goals based on the 2018 AHA/ACC Multisociety Guideline, defined as either having an LDL-C &amp;lt;70 mg/dL or receiving maximal lipid-lowering therapy (i.e., on a PCSK9i monoclonal antibody (mAb)) at the time of the last LDL-C test, and performed multivariable logistic regression to evaluate factors associated with the achievement of those goals. Results Among 213,380 eligible VHR patients with ASCVD and DM2 (mean age 70.2 years, 42% women), 51.8% (110,452) patients achieved guideline-based lipid goals. This included 50.9% with an LDL-C &amp;lt;70 mg/dL and 1.7% on a PCSK9i mAb. Female sex (odds ratio [OR], 0.64; 95% confidence interval [CI], 0.61-0.66), Black race (OR, 0.67; 95% CI, 0.63-0.72), Medicaid insurance (OR, 0.92; 95% CI, 0.86-0.97), and non-coronary artery disease forms of ASCVD including peripheral artery disease (OR, 0.67; 95% CI, 0.65-0.69) and cerebrovascular disease (OR, 0.80; 95% CI, 0.77-0.83) were associated with a lower likelihood of achieving guideline-based lipid goals. Conversely, having undergone percutaneous coronary intervention (OR, 1.31; 95% CI, 1.19-1.43) or coronary artery bypass graft (OR, 1.24; 95% CI, 1.06-1.45) in the previous year, and comorbidities including dialysis (OR, 1.38; 95% CI, 1.23-1.55), atrial fibrillation or flutter (OR, 1.09; 95% CI, 1.06-1.12), and systolic heart failure (OR, 1.11; 95% CI, 1.08-1.14) were associated with a higher likelihood of achieving these goals. Overall, 24.0% of patients were on no statin, 27.2% were on a low- or moderate-intensity statin, and only 5.8% were on a statin in combination with ezetimibe or a PCSK9i mAb. Conclusion Large gaps in care exist for VHR patients with ASCVD and DM2, particularly among women, Black individuals, and those with Medicaid. Targeted interventions are needed to improve the uptake of evidence-based secondary prevention therapies in these patients.

Serum lipid profiles and uptake of lipid-lowering therapy in patients with premature atherosclerotic cardiovascular disease (ASCVD) in comparison to older patients with ASCVD

Abstract Background Serum lipid levels are well-established risk factors for developing atherosclerotic cardiovascular disease (ASCVD). There are multiple guideline-supported treatments for managing dyslipidaemia for secondary prevention of ASCVD events. Lipid profiles and uptake of guideline-directed lipid-lowering therapy (GDLLT) is poorly characterised in patients with premature ASCVD compared to their older counterparts. Purpose To investigate serum lipid profiles and GDLLT uptake in patients with premature ASCVD in comparison to older patients with ASCVD. Methods Consecutive patients who underwent inpatient invasive coronary angiography at our institution between January 2019-December 2021 were examined. Patients with confirmed ASCVD on coronary angiography were stratified into two groups based on the 2019 ESC/EAS Guidelines for the Management of Dyslipidaemias definition of premature ASCVD: Group 1 comprised of younger patients (&amp;lt;55 years for men, &amp;lt;60 years for women) and Group 2 comprised of older patients (≥55 years for men, ≥60 years for women). Demographics, clinical and biochemical parameters (including lipid profiles) and medications were obtained from the electronic medical record and compared between groups to identify differences in risk factor profiles. Results A total of 1437 patients (980 [68.2%] male, mean age 62.4±13.9 years) underwent coronary angiography. 916 patients (63.7%) had confirmed ASCVD, of which 225 were classified as premature ASCVD (24.6%, mean age 47.8±10.1 years) vs 691 older patients with ASCVD (75.4%, mean age 69.5±8.7 years). Group 1 patients had significantly higher mean BMI (31.7±8.1 vs 69.5±8.7; p=0.001) and lower prevalence of hypertension (54.2% vs 69.5%; p&amp;lt;0.001) or chronic kidney disease (5.3% vs 12.6%; p=0.002) compared to Group 2. There were no significant differences in sex, diabetes mellitus, or smoking history. Lipid profiles were significantly different between the two groups: Group 1 had higher levels of total cholesterol (TC), LDL-C, triglycerides, and TC/HDL-C ratio, but lower HDL-C levels (all p&amp;lt;0.001). A lower proportion of Group 1 patients were on GDLLT (42.7% vs. 60.3%; p&amp;lt;0.001). Amongst patients on GDLLT, there were similar rates in the use of high-intensity statins between groups, but Group 1 patients were significantly more likely to have an LDL-C level ≥1.8mmol/L (p=0.003). Multivariable models for individual lipid subfractions, accounting for gender, cardiovascular risk factors, and LLT use, showed that all lipid parameters remained significantly different between groups (all p&amp;lt;0.001). Conclusion Patients with premature ASCVD have significantly different lipid profiles compared to older ASCVD patients. They also have lower uptake of guideline-directed LLT and are less likely to meet recommended LDL-C targets for high-risk ASCVD despite therapy. These findings highlight the need for tailored risk factor evaluation and management in this population.

Combination of moderate-intensity statins and ezetimibe versus high-intensity statins alone for primary prevention of cardiovascular events

Abstract Background Combination of a moderate-intensity statin with ezetimibe can lead to similar reductions in cardiovascular events as monotherapy with a high-intensity statin in patients with established atherosclerotic cardiovascular disease (ASCVD). The comparative effectiveness of these two cholesterol-lowering strategies in the primary prevention setting is unknown. Purpose To compare incident ASCVD events associated with a combination of moderate-intensity statin and ezetimibe versus monotherapy with a high-intensity statin in adults without prior history of cardiovascular disease. Methods We conducted a new-user active comparator retrospective population-based cohort study in Canada. We included all adults aged ≥ 67 years (eligible for drug coverage) with a first prescription of either a combination of moderate-intensity statin with ezetimibe ("combination therapy") or high-intensity statin alone between January 2010 and December 2022. Patients were excluded if they had not received any prior lipid lowering therapies or had a history of myocardial infarction (MI), stroke, heart failure, peripheral vascular disease or prior coronary revascularisation at any time before or within 3 months of treatment initiation. The primary outcome was a composite of all-cause death, hospitalization for MI or stroke, or coronary revascularization. An inverse probability of treatment weighting propensity score was used to account for confounding (demographics, comorbidities, laboratory tests, other medications). Results Among 67,884 patients (mean age: 74.0±5.5y; 53% females), 8,798 (13%) initiated combination therapy and 59,086 (87%) initiated a high-intensity statin. At 1 year, after weighting, the mean achieved LDL-C was ~1.9 mmol/L in both groups. The median follow-up was 6.5 years. The cumulative incidence of the primary outcome at 10 years in the weighted cohort was 32.7% in the combination therapy group and 36.1% in the high-intensity statin group (HR: 0.87; 95% CI: 0.82 to 0.92; p&amp;lt;0.001; absolute risk reduction: 3.5%; 95% CI: 0.8 to 6.1; Figure 1). This result was primarily driven by a lower risk of all-cause death (HR: 0.85; 95% CI: 0.80 to 0.91; p&amp;lt;0.001; Figure 2) and stroke (cause-specific [cs] HR: 0.86; 95% CI 0.74 to 0.99; p=0.04), whereas no differences were observed in the risk of MI (csHR: 0.97; 95% CI: 0.82 to 1.15) or coronary revascularization (csHR: 0.97; 95% CI 0.85 to 1.11). Conclusion The combination of moderate-intensity statins with ezetimibe was associated with a lower risk of incident ASCVD compared with high-intensity statins alone among primary prevention patients in a real-world setting. These results were driven by a lower risk of all-cause death and stroke, but not coronary events. The influence of statin intolerance on the allocated strategy and adherence to therapy cannot be addressed in this analysis, which, along with verifying these estimates, may be best determined in a prospective randomized trial.

Prediction of 10-year risk for recurrent atherosclerotic cardiovascular events in a secondary prevention population: Insights from CHART-2 and Suita studies in the Japanese population

Abstract Background Despite the European Society of Cardiology (ESC) guidelines advocating risk prediction models for secondary prevention in established atherosclerotic cardiovascular disease (ASCVD) patients, such models for Japanese individuals remain limited, owing to their comparatively lower ASCVD risk than Western populations. Given this gap, there is a need to develop tailored risk assessment tools for Japanese ASCVD patients to optimize secondary prevention strategies. Purpose Leveraging data from two large-scale, long-term cardiovascular cohorts in Japan, our aim was to develop and externally validate a 10-year risk model predicting recurrent cardiovascular events among patients with established ASCVD. Methods The CHART-2 and Suita studies, large-scale prospective observational multicenter cohort studies in Japan, served as the primary data sources for this investigation. From the CHART-2 study, which comprised 3,560 patients with a history of coronary artery disease or ischemic stroke, we derived our risk model. External validation was conducted using data from the Suita study, which included 445 patients with similar ASCVD backgrounds. The primary outcome of interest was a composite endpoint encompassing cardiovascular death, myocardial infarction, or stroke. Variable selection was performed based on clinically relevant factors previously employed in established risk scores (SMART, REACH, and TRS 2°P risk scores). Logistic regression was utilized for model development, and the predictive performance was assessed using the C-index. Results Over a median follow-up of 10.1 years, the derivation cohort experienced 756 cardiovascular events. Patients in the derivation cohort had an average age of 68.9 ± 10.6 years, with 91% and 24% having a history of coronary artery disease and ischemic stroke, respectively. Using logistic regression, the multivariate model revealed a higher recurrent risk associated with several factors including age, smoking status, systolic blood pressure, diabetes, renal function, number of ASCVD events, atrial fibrillation, lipid levels, left ventricular systolic dysfunction, and statin use. A simple risk score based on these predictors demonstrated a &amp;gt;5-fold gradient of 10-year recurrent risk with a C-index of 0.65 (95% CI 0.63-0.68, Figure). The prediction model was externally validated in the Suita study wit 245 cardiovascular events and a median follow-up of 10.4 years, showing good discriminative ability with a C-index of 0.64 (95% CI 0.60–0.68). Conclusion Our newly developed prediction model offers a valuable tool for identifying individuals at heightened risk of recurrent cardiovascular events over a 10-year period, thereby facilitating more targeted and effective secondary prevention strategies tailored to the unique characteristics of Japanese ASCVD patients.

Artificial intelligence-enhanced electrocardiography predicts 10-year risk of atherosclerotic cardiovascular disease

Abstract Background The ACC/AHA pooled cohort equations (PCE) calculates the 10-year primary risk of atherosclerotic cardiovascular disease (ASCVD), an indication to initiate primary prevention statin therapy in international guidelines. The validity of PCE is limited by its overestimation of risk in high-risk cohorts and an ethnic heterogeneity. Electrocardiography (ECG) has not been incorporated in current ASCVD risk estimation tools. Artificial Intelligence (AI)-based models are capable to capture patterns that are informative for cardiovascular prognosis. Purpose We explored the predictive value of a discrete-time survival model in 10-year ASCVD risk in comparison to PCE. Methods We developed an AI-ECG model to predict the 10-year ASCVD risk in an unselected secondary care population from the USA comprised of 1,163,401 ECGs from 189,539 patients. Data was split into training/validation and hold-out test sets by patient ID. Our AI-ECG model uses deep learning with a residual convolutional neural network with a discrete-time survival loss function to output subject-specific survival curves, accounting for both time to event and censorship (i.e., loss to follow up). We compared the performance of out AI-ECG model using a subset of outpatient data (n=4590) of the BIDMC dataset to PCE and ASCVD risk factors including systolic blood pressure, total cholesterol, HDL cholesterol, hypertension, smoking history, diabetes mellitus, and ethnicity. Performances were evaluated using cox survival analysis. Our AI-ECG model was externally validated in the UKB Biobank (UKB), where we compared the performance of our AI-ECG model to predictions of existing AI-ECG models such as the Stanford Estimator of Electrocardiogram Risk (SEER) model. Results Our AI-ECG successfully predicted future ASCVD events in individuals (C-index 0.721 (0.719-0.723), 5-year AUC 0.761 (0.758-0.763), and differentiated between high and low risk group with an adjusted HR of 2.33 (2.26-2.41). Upon internal validation our AI-ECG model showed a superior performance (C-index 0.679 (0.651-0.708)) than PCE (0.605 (0.577-0.634)) and all risk factors combined (C index 0.642 (0.613-0.672)). When combining AI-ECG predictions with all risk factors, the model showed additional predictive value (0.686 (0.657-0.715)) (Figure 1). Our AI-ECG model showed modest predictive value within the UKB dataset (C-index 0.655 (0.637-0.673)), but significantly outperformed the SEER model (C-index 0.547 (0.527-0.567), p &amp;lt;0.0001 for comparison with AIRE). Conclusion We have shown the potential of AI-ECG models in predicting future ASCVD risks. AI-ECG models demonstrated accurate discrete time survival prediction and good classification performance superior to that of the SEER model, as well as PCE and ASCVD risk factors. . Accurate risk assessment of ASCVD may help prevent adverse events in high risk subjects and save unnecessary pharmacological interventios in low risk subjects.Figure 1

An equation for estimating low-density lipoprotein-triglyceride content and its use for cardiovascular disease risk stratification.

The triglyceride (TG) content of low-density lipoprotein (LDL-TG) has been shown to be more predictive of atherosclerotic cardiovascular disease (ASCVD) events than the cholesterol content of LDL (LDL-C). The goal of our study was to develop an equation for estimating LDL-TG (eLDL-TG) based on the standard lipid panel and to compare it to estimated LDL-C as an ASCVD risk biomarker. Using least-square regression analysis, the following eLDL-TG equation was developed: . LDL-TG was measured by the β-quantification (BQ) reference method (N = 40,202). LDL-C was calculated by the Sampson-NIH equation. The association of LDL-C and eLDL-TG with ASCVD risk markers was performed in the National Heart and Nutrition Examination Survey (NHANES) (N = 37,053) and with ASCVD events in a primary prevention cohort from the UK Biobank (UKB) (N = 429,367) and the Atherosclerosis Risk in Communities (ARIC) study (N = 14,632). eLDL-TG showed better ASCVD risk stratification of UKB participants than LDL-C (Wilcoxon Chi-Square: 2,099.6 vs. 418.7, respectively). Receiving-operating characteristics analysis revealed that eLDL-TG had a stronger association with ASCVD events than LDL-C (AUC: 0.596 vs. 0.542, respectively) and other conventional lipid markers. Similar findings were found in ARIC. Discordance analysis in UKB showed that the group with low LDL-C/high eLDL-TG had a similar risk as the high LDL-C/high eLDL-TG group. Furthermore, these same two groups with the highest eLDL-TG levels and the highest ASCVD event rate also had higher mean levels of systolic blood pressure, Body Mass Index, hemoglobin A1C, and C-reactive protein than the two lower eLDL-TG groups. Using eLDL-TG > 44.6 mg/dl (80th percentile) as a cut-point leads to a hazard ratio of 1.32 (95% CI, 1.29-1.36) for ASCVD events, which remained significant after adjustment for LDL-C and apoB. Furthemore, using eLDL-TG as a risk-enhancer test leads to reclassification of 50% more high-risk individuals than current lipid-enhancer test rules. Like LDL-C, LDL-TG can also be calculated from the results of the standard lipid panel. Compared to estimated LDL-C, eLDL-TG was a better risk marker for primary prevention and hence could improve initial ASCVD risk stratification.

Pulse Pressure and Cardiovascular and Kidney Outcomes by Age in the Chronic Renal Insufficiency Cohort (CRIC).

Wide pulse pressure (PP) is associated with cardiovascular events and the progression of chronic kidney disease (CKD) to kidney failure. PP naturally widens with age, but it is unclear whether the risks associated with greater PP are the same across all ages. We used Cox proportional hazards models to investigate the association of PP with (i) atherosclerotic cardiovascular disease (ASCVD) events or death and (ii) a 50% reduction in estimated glomerular filtration rate or kidney failure in the chronic renal insufficiency cohort (CRIC). We evaluated the association of time-updated PP with these outcomes, accounting for time-updated confounders using inverse probability weighting. Among 5,621 participants with CKD, every 10-mmHg greater PP was associated with a 6% higher risk of an ASCVD event or death (hazard ratio [HR] = 1.06, 95% CI 1.04, 1.08) and 17% higher risk of the composite kidney outcome (HR = 1.17, 95% CI 1.16, 1.18). Greater PP was associated with a higher risk of ASCVD events or death among participants in the lowest age tertile (21-61 years), but a higher risk of the composite kidney outcome in the oldest age tertile (71-79 years). While wide PP in participants that experienced the primary outcomes was predominantly driven by elevated SBP, PP remained significantly associated with the composite kidney outcome across all ages and with ASCVD events or death in the first age tertile when SBP was added to the Cox regression model. Our findings suggest that the mechanism by which PP is associated with adverse outcomes may differ by age.

Lipoprotein (a) testing patterns among subjects with a measured lipid panel: The Mayo Clinic experience

ObjectiveLipoprotein(a) [Lp(a)] has been associated with Atherosclerotic Cardiovascular Disease (ASCVD). Approximately 20 % of the population has elevated Lp(a). Despite its well-recognized role in ASCVD, universal screening remains controversial. The aim of our study is to investigate laboratory testing patterns for Lp(a) in subjects screened with a standard lipid panel at a large tertiary referring US institution. MethodsData were retrospectively collected at Mayo Clinic from the Mayo Data Explorer (MDE). Subjects were included if they had a lipid panel measured between May 1, 2022, and April 30, 2023. Demographic data, Lp(a) measurements, statins and aspirin prescription and ASCVD events which occurred at any time in the life of a subject were recorded along with respective dates. The cumulative number of Lp(a) laboratory test orders were also tallied from 1994 to 2023 independently of the lipid panel requests. ResultsBetween May 1, 2022, and April 30, 2023, 257,225 subjects had a lipid panel ordered. Of these, only 386 (0.15 %) had Lp(a) tested within 1 year of the lipid panel, while 2406 (0.94 %) had Lp(a) tested at any time. Lp(a) was tested more frequently in males (67 %) and in subjects who developed Myocardial Infarction (MI) at any time (12 %). Following Lp(a) results, there was no significant change in statin or aspirin prescription associated with Lp(a) levels. Secondary prevention was the main setting for ordering Lp(a) testing, and there was no change in this trend throughout the years. ConclusionsTesting rates for Lp(a) in the general population are low and the main setting remains secondary prevention. Women are less tested than men. When Lp(a) is found to be elevated, often times there is no change in patient management to mitigate the ASCVD risk.