Effect of Access to Prescribed PCSK9 Inhibitors on Cardiovascular Outcomes
Open Access
- 1 August 2019
- journal article
- research article
- Published by Wolters Kluwer Health in Circulation: Cardiovascular Quality and Outcomes
- Vol. 12 (8) , e005404
Abstract
Background: Atherosclerotic cardiovascular disease remains a major cause of death and disability, especially for high-risk familial hypercholesterolemia individuals. PCSK9i (proprotein convertase subtilisin kexin type 9 inhibitors) reduce low-density lipoprotein cholesterol levels and cardiovascular event rates. However, PCSK9i prescriptions are rejected at high rates by payers, and use is often delayed or eventually abandoned as a treatment option. We tested the hypothesis that acute coronary syndromes, coronary interventions, stroke, and cardiac arrest are more prevalent in patients with rejected or abandoned PCSK9i prescriptions than for those with paid PCSK9i prescriptions. Methods and Results: We identified 139 036 individuals aged ≥18 years who met the following 3 criteria: prescribed PCSK9i between August 2015 and December 2017, had claims history, and had an established date of exposure for paid, rejected, or abandoned status. To compare the effects of rejected versus paid and abandoned versus paid status, propensity score matching was performed to minimize confounding because of baseline differences in patient groups. Cox regression analyses and incidence density rates for cardiovascular events were estimated on the propensity score-matched cohorts. Patients who received 168 or more days of paid PCSK9i medication within a 12-month period were defined as paid. The hazard ratios for composite cardiovascular events outcome in propensity score-matched analyses were 1.10 (95% CI, 1.01–1.19; P =0.02) for rejected versus paid and 1.12 (95% CI, 1.01–1.24; P =0.03) for abandoned versus paid. In a stricter analysis where paid patients were defined by receiving 338 or more days of therapy within 12-months, hazard ratio was 1.16 (95% CI, 1.02–1.30; P =0.04) for rejected versus paid and 1.21 (95% CI, 1.04–1.38; P =0.03) for the abandoned versus paid status. Higher PCSK9i rejection rates were observed with women, racial minorities, and lower-income groups. Conclusions: Individuals in the rejected and abandoned cohorts had significantly increased risk of cardiovascular events compared with those in the paid cohort. Rejection, abandonment, and disparities related to PCSK9i prescriptions are related to higher cardiovascular outcome rates.Keywords
This publication has 32 references indexed in Scilit:
- Cost‐Effectiveness ofLDL‐C Lowering With Evolocumab in Patients With High Cardiovascular Risk in the United StatesClinical Cardiology, 2016
- Alirocumab for Hyperlipidemia: Odyssey Phase Iii Clinical Trial Results and US Fda Approval IndicationsFuture Cardiology, 2016
- Safety and efficacy of anti-PCSK9 antibodies: a meta-analysis of 25 randomized, controlled trialsBMC Medicine, 2015
- OSLER and ODYSSEY LONG TERM: PCSK9 inhibitors on the right track of reducing cardiovascular eventsGlobal Cardiology Science and Practice, 2015
- Effect of alirocumab, a monoclonal antibody to PCSK9, on long-term cardiovascular outcomes following acute coronary syndromes: Rationale and design of the ODYSSEY Outcomes trialAmerican Heart Journal, 2014
- Efficacy and safety of evolocumab (AMG 145), a fully human monoclonal antibody to PCSK9, in hyperlipidaemic patients on various background lipid therapies: pooled analysis of 1359 patients in four phase 2 trialsEuropean Heart Journal, 2014
- Rationale and design of the familial hypercholesterolemia foundation CAscade SCreening for Awareness and DEtection of Familial Hypercholesterolemia registryAmerican Heart Journal, 2014
- Efficacy and Safety of Longer-Term Administration of Evolocumab (AMG 145) in Patients With HypercholesterolemiaCirculation, 2014
- An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational StudiesMultivariate Behavioral Research, 2011
- Advanced Statistics: The Propensity Score—A Method for Estimating Treatment Effect in Observational ResearchAcademic Emergency Medicine, 2004