Skip to main content
Log in

Effectiveness of Simvastatin Versus Gemfibrozil for Primary Prevention of Cardiovascular Events: A Retrospective Cohort Study of 223,699 Primary Care Patients

  • Original Research Article
  • Published:
Clinical Drug Investigation Aims and scope Submit manuscript

Abstract

Background and Objective

Evidence of the effectiveness of statins compared with fibrates for primary prevention of cardiovascular events is limited. Therefore, we assessed the comparative effectiveness of simvastatin versus gemfibrozil for primary prevention of major adverse cardiovascular events (MACE) and mortality.

Methods

This territory-wide cohort study used electronic health records of simvastatin and gemfibrozil prescriptions from the Hong Kong Hospital Authority and compared simvastatin or gemfibrozil initiation. The primary outcome was MACE, defined as the composite of the first diagnosis of cardiovascular mortality, coronary heart disease, or stroke. Secondary outcomes were the individual components of MACE, all-cause mortality, and non-cardiovascular mortality. Inverse probability of treatment weighting on the propensity score was used to estimate hazard ratios (HRs).

Results

A total of 223,699 individuals (120,207 [53.7%] women; median follow-up 7.0 years [interquartile range 5.7–9.1]) who were prescribed simvastatin (n = 168,630) or gemfibrozil (n = 55,069) were included. Simvastatin was associated with a reduced risk of MACE (HR 0.90, 95% confidence interval [CI] 0.88–0.93), all-cause mortality (HR 0.88, 95% CI 0.86–0.90), cardiovascular mortality (HR 0.71, 95% CI 0.67–0.76), and non-cardiovascular mortality (HR 0.92, 95% CI 0.89–0.95). Associations for MACE varied according to baseline characteristics with gemfibrozil being associated with a reduced risk of MACE in men and patients with low baseline high-density lipoprotein (HDL) cholesterol (< 1.0 mmol/L).

Conclusion

The results of this study showed better population-level effectiveness of simvastatin compared with gemfibrozil for the primary prevention of MACE; however, a definitive randomized controlled trial is required to compare simvastatin with gemfibrozil among patients with low HDL cholesterol, as they appear to obtain benefit with gemfibrozil.

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.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Blais JE, Wei Y, Yap KK, Alwafi H, Ma TT, Brauer R, et al. Trends in lipid-modifying agent use in 83 countries. Atherosclerosis. 2021;328:44–51. https://doi.org/10.1016/j.atherosclerosis.2021.05.016.

    Article  PubMed  CAS  Google Scholar 

  2. Blais JE, Tong GKY, Pathadka S, Mok M, Wong ICK, Chan EW. Comparative efficacy and safety of statin and fibrate monotherapy: a systematic review and meta-analysis of head-to-head randomized controlled trials. PLoS One. 2021;16(2): e0246480. https://doi.org/10.1371/journal.pone.0246480.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  3. Fisman EZ, Adler Y, Tenenbaum A. Statins research unfinished saga: desirability versus feasibility. Cardiovasc Diabetol. 2005;4(1):8. https://doi.org/10.1186/1475-2840-4-8.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Manninen KV, Tenkanen PL, Koskinen HP, Huttunen HJ, Mänttäri HM, Heinonen HO, et al. Joint effects of serum triglyceride and LDL cholesterol and HDL cholesterol concentrations on coronary heart disease risk in the Helsinki Heart Study: implications for treatment. Circulation. 1992;85(1):37–45. https://doi.org/10.1161/01.CIR.85.1.37.

    Article  PubMed  CAS  Google Scholar 

  5. Goldfine AB, Kaul S, Hiatt WR. Fibrates in the treatment of dyslipidemias—time for a reassessment. N Engl J Med. 2011;365(6):481–4. https://doi.org/10.1056/NEJMp1106688.

    Article  PubMed  CAS  Google Scholar 

  6. Bruckert E, Labreuche J, Deplanque D, Touboul P-J, Amarenco P. Fibrates effect on cardiovascular risk is greater in patients with high triglyceride levels or atherogenic dyslipidemia profile: a systematic review and meta-analysis. J Cardiovasc Pharmacol. 2011;57(2):267–72. https://doi.org/10.1097/FJC.0b013e318202709f.

    Article  PubMed  CAS  Google Scholar 

  7. Lee M, Saver JL, Towfighi A, Chow J, Ovbiagele B. Efficacy of fibrates for cardiovascular risk reduction in persons with atherogenic dyslipidemia: a meta-analysis. Atherosclerosis. 2011;217(2):492–8. https://doi.org/10.1016/j.atherosclerosis.2011.04.020.

    Article  PubMed  CAS  Google Scholar 

  8. Roth GA, Mensah GA, Johnson CO, Addolorato G, Ammirati E, Baddour LM, et al. Global burden of cardiovascular diseases and risk factors, 1990–2019: update from the GBD 2019 Study. J Am Coll Cardiol. 2020;76(25):2982–3021. https://doi.org/10.1016/j.jacc.2020.11.010.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Adams C, Singh K. Geographic variation in the statin trials: underrepresentation of Asian populations. Int J Cardiol. 2020;316:249–51. https://doi.org/10.1016/j.ijcard.2020.07.015.

    Article  PubMed  Google Scholar 

  10. Frick MH, Elo O, Haapa K, Heinonen OP, Heinsalmi P, Helo P, et al. Helsinki Heart Study: primary-prevention trial with gemfibrozil in middle-aged men with dyslipidemia. N Engl J Med. 1987;317(20):1237. https://doi.org/10.1056/NEJM198711123172001.

    Article  PubMed  CAS  Google Scholar 

  11. Rubins HB, Robins SJ, Collins D, Fye CL, Anderson JW, Elam MB, et al. Gemfibrozil for the secondary prevention of coronary heart disease in men with low levels of high-density lipoprotein cholesterol. N Engl J Med. 1999;341(6):410. https://doi.org/10.1056/NEJM199908053410604.

    Article  PubMed  CAS  Google Scholar 

  12. Ginsberg HN, Elam MB, Lovato LC, Crouse JR III, Leiter LA, Linz P, et al. Effects of combination lipid therapy in type 2 diabetes mellitus. N Engl J Med. 2010;362(17):1563–74. https://doi.org/10.1056/NEJMoa1001282.

    Article  PubMed  Google Scholar 

  13. Jun M, Foote C, Lv J, Neal B, Patel A, Nicholls SJ, et al. Effects of fibrates on cardiovascular outcomes: a systematic review and meta-analysis. Lancet. 2010;375(9729):1875–84. https://doi.org/10.1016/S0140-6736(10)60656-3.

    Article  PubMed  CAS  Google Scholar 

  14. Vogel B, Acevedo M, Appelman Y, Bairey Merz CN, Chieffo A, Figtree GA, et al. The Lancet women and cardiovascular disease Commission: reducing the global burden by 2030. Lancet. 2021;397(10292):2385–438. https://doi.org/10.1016/S0140-6736(21)00684-X.

    Article  PubMed  Google Scholar 

  15. Silverman MG, Ference BA, Im K, Wiviott SD, Giugliano RP, Grundy SM, et al. Association between lowering LDL-C and cardiovascular risk reduction among different therapeutic interventions: a systematic review and meta-analysis. JAMA. 2016;316(12):1289–97. https://doi.org/10.1001/jama.2016.13985.

    Article  PubMed  CAS  Google Scholar 

  16. Marston NA, Giugliano RP, Im K, Silverman MG, O’Donoghue ML, Wiviott SD, et al. Association between triglyceride lowering and reduction of cardiovascular risk across multiple lipid-lowering therapeutic classes. Circulation. 2019;140(16):1308–17. https://doi.org/10.1161/CIRCULATIONAHA.119.041998.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Ference BA, Kastelein JJP, Ray KK, Ginsberg HN, Chapman MJ, Packard CJ, et al. Association of triglyceride-lowering LPL variants and LDL-C-lowering LDLR variants with risk of coronary heart disease. JAMA. 2019;321(4):364–73. https://doi.org/10.1001/jama.2018.20045.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. Richardson TG, Sanderson E, Palmer TM, Ala-Korpela M, Ference BA, Davey Smith G, et al. Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: a multivariable Mendelian randomisation analysis. PLoS Med. 2020;17(3): e1003062. https://doi.org/10.1371/journal.pmed.1003062.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Sniderman AD, Thanassoulis G, Glavinovic T, Navar AM, Pencina M, Catapano A, et al. Apolipoprotein B particles and cardiovascular disease: a narrative review. JAMA Cardiol. 2019;4(12):1287–95. https://doi.org/10.1001/jamacardio.2019.3780.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Sniderman AD, Couture P, Martin SS, DeGraaf J, Lawler PR, Cromwell WC, et al. Hypertriglyceridemia and cardiovascular risk: a cautionary note about metabolic confounding. J Lipid Res. 2018;59(7):1266–75. https://doi.org/10.1194/jlr.R082271.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. Fleurence R, Naci H, Jansen JP. The critical role of observational evidence in comparative effectiveness research. Health Aff. 2010;29(10):1826–33. https://doi.org/10.1377/hlthaff.2010.0630.

    Article  Google Scholar 

  22. Kung K, Lam A, Li P. A retrospective analysis on the use of gemfibrozil in general outpatient clinics. Hong Kong Practitioner. 2005;27(11):404.

    Google Scholar 

  23. Wong AY, Root A, Douglas IJ, Chui CS, Chan EW, Ghebremichael-Weldeselassie Y, et al. Cardiovascular outcomes associated with use of clarithromycin: population based study. BMJ. 2016;352: h6926. https://doi.org/10.1136/bmj.h6926.

    Article  PubMed  CAS  Google Scholar 

  24. Lund JL, Richardson DB, Stürmer T. The active comparator, new user study design in pharmacoepidemiology: historical foundations and contemporary application. Curr Epidemiol Rep. 2015;2(4):221–8. https://doi.org/10.1007/s40471-015-0053-5.

    Article  PubMed  PubMed Central  Google Scholar 

  25. White IR, Royston P. Imputing missing covariate values for the Cox model. Stat Med. 2009;28(15):1982–98. https://doi.org/10.1002/sim.3618.

    Article  PubMed  PubMed Central  Google Scholar 

  26. van Buuren S, Groothuis-Oudshoorn CGM. Mice: multivariate imputation by chained equations in R. J Stat Softw. 2011;45(3):1–67. https://doi.org/10.18637/jss.v045.i03.

    Article  Google Scholar 

  27. Burgette LF, Reiter JP. Multiple imputation for missing data via sequential regression trees. Am J Epidemiol. 2010;172(9):1070–6. https://doi.org/10.1093/aje/kwq260.

    Article  PubMed  Google Scholar 

  28. Cole SR, Hernán MA. Constructing inverse probability weights for marginal structural models. Am J Epidemiol. 2008;168(6):656–64. https://doi.org/10.1093/aje/kwn164.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) final report. Circulation. 2002;106(25):3143.

  30. Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, et al. 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk: the Task Force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS). Eur Heart J. 2020;41(1):111–88. https://doi.org/10.1093/eurheartj/ehz455.

    Article  PubMed  Google Scholar 

  31. Gu X, Yang X, Li Y, Cao J, Li J, Liu X, et al. Usefulness of low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol as predictors of cardiovascular disease in Chinese. Am J Cardiol. 2015;116(7):1063–70. https://doi.org/10.1016/j.amjcard.2015.06.040.

    Article  PubMed  CAS  Google Scholar 

  32. Leyrat C, Seaman SR, White IR, Douglas I, Smeeth L, Kim J, et al. Propensity score analysis with partially observed covariates: how should multiple imputation be used? Stat Methods Med Res. 2019;28(1):3–19. https://doi.org/10.1177/0962280217713032.

    Article  PubMed  Google Scholar 

  33. Rubin DB. Multiple imputation for nonresponse in surveys. New York: Wiley; 1987.

    Book  Google Scholar 

  34. Roussel R, Chaignot C, Weill A, Travert F, Hansel B, Marre M, et al. Use of fibrates monotherapy in people with diabetes and high cardiovascular risk in primary care: a French nationwide cohort study based on national administrative databases. PLoS One. 2015;10(9): e0137733. https://doi.org/10.1371/journal.pone.0137733.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  35. Rubins HB, Robins SJ, Collins D, Nelson DB, Elam MB, Schaefer EJ, et al. Diabetes, plasma insulin, and cardiovascular disease: subgroup analysis from the Department of Veterans Affairs High-Density Lipoprotein Intervention Trial (VA-HIT). Arch Intern Med. 2002;162(22):2597–604. https://doi.org/10.1001/archinte.162.22.2597.

    Article  PubMed  CAS  Google Scholar 

  36. Yusuf S, Bosch J, Dagenais G, Zhu J, Xavier D, Liu L, et al. Cholesterol lowering in intermediate-risk persons without cardiovascular disease. N Engl J Med. 2016;374(21):2021–31. https://doi.org/10.1056/NEJMoa1600176.

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgements

The computations were performed using research computing facilities offered by Information Technology Services, the University of Hong Kong. Joseph E. Blais was supported by the Hong Kong Research Grants Council as a recipient of the Hong Kong PhD Fellowship Scheme. The authors thank Dr Stephen Weng for his feedback on an earlier draft of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Esther W. Chan.

Ethics declarations

Funding

This study was not funded.

Conflict of interest

Joseph E. Blais, Xuxiao Ye, Eric Y.F. Wan, William C.W. Wong, Ian C.K. Wong, Brian Tomlinson, and Esther W. Chan have no relevant financial or non-financial interests to disclose.

Ethics approval

This study was approved by the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (reference number: UW17-135).

Consent to participate

This is an observational study and informed consent was waived by the Institutional Review Board.

Consent for publication

Not applicable.

Data availability

The data used for this study are confidential and are not available for sharing.

Code availability

Not applicable.

Author contributions

JEB and XY had full access to all the data in the study and take responsibility for the integrity of the data and accuracy of the data analysis. Conceptualization: JEB, EWC, BT. Formal analysis: JEB, XY. Validation: XY. Resources: EWC, ICKW. Software: EYFW. Visualization: JEB. Supervision: EWC, ICKW. Writing—original draft: JEB. Writing—review and editing of the manuscript for important intellectual content: All authors.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 956 KB)

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Blais, J.E., Ye, X., Wan, E.Y.F. et al. Effectiveness of Simvastatin Versus Gemfibrozil for Primary Prevention of Cardiovascular Events: A Retrospective Cohort Study of 223,699 Primary Care Patients. Clin Drug Investig 42, 987–997 (2022). https://doi.org/10.1007/s40261-022-01208-9

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40261-022-01208-9

Navigation