Simulation of impact on cardiovascular events due to lipid-lowering therapy intensification in a population with atherosclerotic cardiovascular disease

Abstract

To estimate the cardiovascular (CV) risk reduction implications of treatment intensification, we used a previously reported simulation model with enhancements. An ASCVD cohort was developed from a US claims database. A Cox model was used to estimate baseline risk of CV events: myocardial infarction, ischemic stroke, unstable angina hospitalization, elective coronary revascularization, or cardiovascular death. Patients were sampled with replacement (bootstrapping) and entered the simulation model, which applied stepwise LLT intensification logic, with a goal of achieving low-density lipoprotein cholesterol less than 70 mg/dL at each step. CV risk reduction assumptions were based on published data. Two treatment intensification scenarios were investigated: ideal and real-world (which accounted for statin intolerance, nonadherence, and payer restrictions). In a cohort of 1,000 patients with ASCVD, approximately 813 (809-818) would require treatment intensification with LLT under an ideal treatment intensification scenario. Before treatment intensification, 183 (179-187) events would be expected to occur over 5 years. With treatment intensification, 40 (34-45) of these events could be avoided. In a real-world scenario, about 818 (813-823) patients require treatment intensification with LLT, resulting in 29 (24-34) events avoided over 5 years. Intensification of LLT in an ASCVD population translates into a substantial number of CV events avoided. This simulation-based model could assist in assessing the potential benefits of various types of population-level LLT interventions.