Skip to main content
Log in

Measuring Costs of Cardiovascular Disease Prevention for Patients with Familial Hypercholesterolemia in Administrative Claims Data

  • Short Communication
  • Published:
High Blood Pressure & Cardiovascular Prevention Aims and scope Submit manuscript

Abstract

Introduction

Familial hypercholesterolemia is a common genetic condition that significantly increases an individual’s risk of cardiovascular events such as heart attack, stroke, and cardiac death and is a candidate for population-wide screening programs. Economic analyses of strategies to identify and treat familial hypercholesterolemia are limited by a lack of real-world cost estimates for screening services and medications for reducing cardiovascular risk in this population.

Methods

We estimated the cost of lipid panel testing in patients with hyperlipidemia and the cost of statins, ezetimibe, and PCKS9 inhibitors in patients with familial hypercholesterolemia from a commercial claims database and report costs and charges per panel and prescription by days’ supply.

Results

The mean cost for a 90-day supply for statins was $183.33, 2.3 times the mean cost for a 30-day supply at $79.35. PCSK9 inhibitors generated the highest mean costs among medications used by patients with familial hypercholesterolemia.

Conclusions

Lipid testing and lipid-lowering medications for cardiovascular disease prevention generate substantial real-world costs which can be used to improve cost-effectiveness models of familial hypercholesterolemia screening and care management.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. McGowan MP, Hosseini Dehkordi SH, Moriarty PM, Duell PB. Diagnosis and treatment of heterozygous familial hypercholesterolemia. J Am Heart Assoc. 2019;8(24): e013225. https://doi.org/10.1161/JAHA.119.013225.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Bucholz EM, Rodday AM, Kolor K, Khoury MJ, de Ferranti SD. Prevalence and predictors of cholesterol screening, awareness, and statin treatment among us adults with familial hypercholesterolemia or other forms of severe dyslipidemia (1999–2014). Circulation. 2018;137(21):2218–30. https://doi.org/10.1161/CIRCULATIONAHA.117.032321.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Knowles JW, Rader DJ, Khoury MJ. Cascade screening for familial hypercholesterolemia and the use of genetic testing. JAMA. 2017;318(4):381–2. https://doi.org/10.1001/jama.2017.8543.

    Article  PubMed  PubMed Central  Google Scholar 

  4. McCrindle BW, Gidding SS. What should be the screening strategy for familial hypercholesterolemia? N Engl J Med. 2016;375(17):1685–6. https://doi.org/10.1056/NEJMe1611081.

    Article  PubMed  Google Scholar 

  5. Martin AC, Bell DA, Brett T, Watts GF. Beyond cascade screening: detection of familial hypercholesterolaemia at childhood immunization and other strategies. Curr Opin Lipidol. 2017;28(4):321–7. https://doi.org/10.1097/MOL.0000000000000423.

    Article  CAS  PubMed  Google Scholar 

  6. Allen CG, et al. Lessons learned from the pilot phase of a population-wide genomic screening program: building the base to reach a diverse cohort of 100,000 participants. J Pers Med. 2022;12(8):1228. https://doi.org/10.3390/jpm12081228.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Grzymski JJ, et al. Population genetic screening efficiently identifies carriers of autosomal dominant diseases. Nat Med. 2020;26(8):1235–9. https://doi.org/10.1038/s41591-020-0982-5.

    Article  CAS  PubMed  Google Scholar 

  8. Patel P, et al. Hidden burden of electronic health record-identified familial hypercholesterolemia: clinical outcomes and cost of medical care. J Am Heart Assoc. 2019;8(13): e011822. https://doi.org/10.1161/JAHA.118.011822.

    Article  PubMed  PubMed Central  Google Scholar 

  9. “HCUP-US Cost-to-Charge Ratio for Inpatient Files.” Accessed Aug 08, 2023 [Online]. https://hcup-us.ahrq.gov/db/ccr/ip-ccr/ip-ccr.jsp.

  10. Dunn A, Grosse SD, Zuvekas SH. Adjusting health expenditures for inflation: a review of measures for health services research in the United States. Health Serv Res. 2018;53(1):175–96. https://doi.org/10.1111/1475-6773.12612.

    Article  PubMed  Google Scholar 

  11. Nanna MG, et al. Sex differences in the use of statins in community practice. Circulation. 2019;12(8): e005562. https://doi.org/10.1161/CIRCOUTCOMES.118.005562.

    Article  PubMed  Google Scholar 

  12. Fonarow GC, van Hout B, Villa G, Arellano J, Lindgren P. Updated cost-effectiveness analysis of evolocumab in patients with very high-risk atherosclerotic cardiovascular disease. JAMA Cardiol. 2019;4(7):691–5. https://doi.org/10.1001/jamacardio.2019.1647.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Spencer SJ, et al. Cost-effectiveness of population-wide genomic screening for familial hypercholesterolemia in the United States. J Clin Lipidol. 2022. https://doi.org/10.1016/j.jacl.2022.07.014.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lauren E. Passero.

Ethics declarations

Conflict of interest

LEP has received predoctoral fellowship funding from Bristol Myers Squibb. MCR’s spouse holds stock in Merck and Thermo Fisher Scientific.

Funding

The project described was supported by the National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, through Grant Award Number UM1TR004406. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

Research involving human participants

The use of individual-level data was granted an exemption of human subjects review by the institutional Office of Human Research Ethics at the University of North Carolina at Chapel Hill (Study Number 21-2979).

Author contributions

LEP and MCR contributed to the study conception and design, funding acquisition, and data interpretation. LEP conducted data collection and analysis. LEP drafted the original manuscript and LEP and MCR conducted writing review and editing.

Data availability

Due to legal and commercial restrictions around the use of the commercial claims database for research, the supporting data is not publicly available.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 12 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Passero, L.E., Roberts, M.C. Measuring Costs of Cardiovascular Disease Prevention for Patients with Familial Hypercholesterolemia in Administrative Claims Data. High Blood Press Cardiovasc Prev 31, 215–219 (2024). https://doi.org/10.1007/s40292-024-00624-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40292-024-00624-6

Keywords

Navigation