👤 Anthony Lozama

Lipoprotein(a) (Lp[a]) can refine atherosclerotic cardiovascular disease risk assessment and guide lipid-lowering therapy intensification (LLTI). However, the association between Lp(a) testing and LLTI across large health systems is not well characterized. Using Veterans Affairs electronic health record data, we conducted a retrospective cohort study of veterans undergoing lipid testing from January 1, 2017, to June 30, 2024. We first compared a 1:1 propensity-matched cohort with concurrent low-density lipoprotein cholesterol (LDL-C) and Lp(a) testing with those with LDL-C testing alone. We then compared veterans with elevated versus nonelevated Lp(a) (>50 versus <50 mg/dL). The primary outcome was LLTI within 12 months, defined as therapy initiation, dose escalation, or addition of another lipid-lowering agent. LDL-C goal attainment (<100 mg/dL primary prevention; <70 mg/dL secondary prevention) was assessed within 12 months. Multivariable logistic regression adjusted for sociodemographic and clinical factors. Among 6 941 840 veterans with LDL-C testing, 10 384 (0.1%) underwent Lp(a) testing. The propensity-matched cohort included 20 768 veterans (mean±SD age, 58.4±15.3 years; 12.4% women; 19.2% Black individuals). Elevated Lp(a) (>50 mg/dL) was present in 25% (n=2562). Lp(a) testing was associated with greater LLTI (odds ratio [OR], 2.11 [95% CI, 1.95-2.29]), LDL-C testing (OR, 1.27 [95% CI, 1.19-1.36]), and LDL-C goal attainment (OR, 1.22 [95% CI, 1.12-1.33]). Compared with Lp(a) <50 mg/dL, Lp(a) >50 mg/dL was associated with increased LLTI (OR, 1.73 [95% CI, 1.55-1.94]). Lp(a) >100 mg/dL was associated with lower LDL-C goal attainment (OR, 0.68 [95% CI, 0.56-0.84]). Lp(a) testing was associated with increased LLTI and LDL-C goal attainment. Elevated Lp(a) identified individuals more likely to undergo LLTI, suggesting testing may motivate preventive treatment optimization. Show less

Patients experiencing premature cardiovascular events (males: <55 years; females: <65 years) represent a high-risk subgroup within the atherosclerotic cardiovascular disease (ASCVD) population. Elevated lipoprotein(a) (Lp[a]) is an independent, genetic, causal risk factor for ASCVD. Lp(a) distribution among patients with premature ASCVD is poorly characterized. This study aimed to describe Lp(a) distribution and baseline characteristics in a large real-world sample of patients with premature ASCVD. We identified 17,594 patients with premature ASCVD who had Lp(a) values from US Medicare, Medicaid, and commercial plans between January 2016-September 2022. Mean age (SD) was 50.9 (10.1) years, most patients were female (68.9%), and half (52.2%) were not prescribed lipid-lowering therapy. Lp(a) levels ≥125, ≥175, and ≥225 nmol/L occurred in 26.8%, 18.8%, and 11.5%, respectively. Black patients had higher median (Q1-Q3) Lp(a) levels (111.0 [51.1-206.0] nmol/L) than Asian (35.0 [14.4-100.0] nmol/L), Hispanic (31.0 [10.9-95.0] nmol/L), or White patients (31.0 [10.7-110] nmol/L). In one of the largest studies in the US investigating Lp(a) distribution in premature ASCVD, we found over a quarter of patients had elevated Lp(a) (≥125 nmol/L). Show less

Lipoprotein(a) [Lp(a)] is underutilized in short-term atherosclerotic cardiovascular disease (ASCVD) risk prediction. This study investigates Lp(a) contribution to short-term ASCVD event prediction using contemporary real-world data and machine learning (ML). A cohort of 731,983 individuals from a claims database was used to investigate the association of Lp(a) with incident ASCVD and all-cause mortality using Cox proportional hazards models. Novel ML models were developed to predict incident ASCVD events at 1, 2, and 3 years after Lp(a) testing. The models were validated in an independent cohort of 53,930 patients. An increase of 50 nmol/L in Lp(a) was independently associated with incident ASCVD events (HR: 1.072; 95% CI: 1.059-1.084) and all-cause mortality (HR: 1.041; 95% CI: 1.015-1.068) after adjustment for age, sex, and race/ethnicity. Novel ML models featuring Lp(a) predicted incident ASCVD events at 1, 2, and 3 years with robust discrimination (C-statistic: 0.83-0.84) in both the derivation and validation cohorts. Modest underestimation of risk was observed in the validation cohort for the 1-year model (calibration slope 1.25). Lp(a) contributed more to 1-year ASCVD prediction than smoking, diabetes, and other lipid parameters. Inclusion of Lp(a) in the 1-year model led to an integrated discrimination improvement of 0.03 and an optimal net reclassification improvement of 10% at a risk threshold of 26%. Lp(a) is a significant predictor of short-term ASCVD risk. Assessing Lp(a) and imminent ASCVD risk may assist in identifying patients who may benefit from escalation of preventative therapies. Show less