Skip to main content
Log in

Optimal Medical Therapy Prescribing Patterns and Disparities Identified in Patients with Acute Coronary Syndromes at an Academic Medical Center in an Area with High Coronary Heart Disease-Related Mortality

  • Original Research Article
  • Published:
American Journal of Cardiovascular Drugs Aims and scope Submit manuscript

Abstract

Background

Coronary heart disease (CHD)-related mortality is high in the southern United States. A five-drug pharmacotherapy regimen for acute coronary syndromes (ACS), defined as optimal medical therapy (OMT), can decrease CHD-related mortality. Studies have indicated that OMT is prescribed 50–60% of the time. Assessment of prescribing could provide insight into the potential etiology of disparate mortality.

Objective

The aim was to evaluate prescribing of OMT at discharge in patients presenting with an ACS event at an academic medical center and identify patients at risk of not receiving OMT.

Methods

A single-center, retrospective cohort of patients with ACS diagnosis between July 2013 and July 2015 was investigated, and a multivariable regression analysis conducted to identify populations at risk of not receiving OMT.

Results

A total of 864 patients were identified by International Classification of Diseases, Ninth Revision (ICD-9) codes, with 533 excluded and 331 analyzed. OMT was prescribed in 69.79%. Patients ≥ 75 years of age [p = 0.003; odds ratio (OR) 0.30; 95% confidence interval (CI) 0.136–0.673], unstable angina presentation (p = 0.042; OR 0.55; 95% CI 0.307–0.977), and surgical management (p = 0.001; OR 0.22; 95% CI 0.095–0.519) were less likely to receive OMT.

Conclusions

The percentage of patients prescribed OMT exceeded the reported global percentage of prescribed OMT. However, disparities exist among specific populations.

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

Similar content being viewed by others

References

  1. Benjamin EJ, Virani SS, Callaway CW, et al. Heart disease and stroke statistics—2018 update: a report from the American Heart Association. Circulation. 2018;137:e67–492.

    Article  PubMed  Google Scholar 

  2. Ford ES, Ajani UA, Croft JB, et al. Explaining the decrease in U.S. deaths from coronary disease, 1980–2000. N Engl J Med. 2007;356:2388–98.

    Article  CAS  PubMed  Google Scholar 

  3. Gillum RF, Mehari A, Curry B, Obisesan TO. Racial and geographic variation in coronary heart disease mortality trends. BMC Public Health. 2012;12:410.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Pereira M, Araujo C, Dias P, et al. Age and sex inequalities in the prescription of evidence-based pharmacological therapy following an acute coronary syndrome in Portugal: the EURHOBOP study. Eur J Prev Cardiol. 2014;21:1401–8.

    Article  PubMed  Google Scholar 

  5. Sheikh-Taha M, Hijazi Z. Evaluation of proper prescribing of cardiac medications at hospital discharge for patients with acute coronary syndromes (ACS) in two Lebanese hospitals. SpringerPlus. 2014;3:159.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Yan AT, Yan RT, Tan M, et al. Optimal medical therapy at discharge in patients with acute coronary sydromes: temporal changes, characteristics, and 1-year outcome. Am Heart J. 2007;154:1108–15.

    Article  PubMed  Google Scholar 

  7. Yusuf S, Sleight P, Pogue J, et al. Effects of an angiotensin-converting-enzyme inhibitor, ramipril, on cardiovascular events in high-risk patients. N Engl J Med. 2000;342(3):145–53.

    Article  CAS  PubMed  Google Scholar 

  8. Skrepnek GH. Regression methods in the empirical analysis of health care data. J Manag Care Pharm. 2005;11(3):240–51.

    PubMed  Google Scholar 

  9. Skrepnek GH, Olvey EL, Sahai A. Econometric approaches in evaluating cost and utilization within pharmacoeconomic analyses. Pharm Policy Law. 2012;14(1):105–22.

    Google Scholar 

  10. Amsterdam EA, Wenger NK, Brindis RB, et al. 2014 AHA/ACC guideline for the management of patients with non-ST-elevation acute coronary syndromes: a report from the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;130(25):2354–94.

    Article  PubMed  Google Scholar 

  11. O’Gara PT, Kushner FG, Ascheim DD, et al. 2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2013;61:e78–140.

    Article  PubMed  Google Scholar 

  12. Stone NJ, Robinson JG, Lichtenstein AH, et al. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129:S1–45.

    Article  PubMed  Google Scholar 

  13. Cannon CP, Braunwald E, McCabe CH, et al. Intensive versus moderate lipid lowering with statins after acute coronary syndromes. N Engl J Med. 2004;350(15):1495–504.

    Article  CAS  PubMed  Google Scholar 

  14. Heidenreich PA, Lewis WR, Labresh KA, Schwamm LH, Fonarow GC. Hospital performance recognition with the Get with the Guidelines program and mortality for acute myocardial infarction and heart failure. Am Heart J. 2009;158(4):546–53.

    Article  PubMed  Google Scholar 

  15. Basoor A, Doshi NC, Cotant JF, et al. Decreased readmissions and improved quality of care with the use of an inexpensive checklist in heart failure. Congest Heart Fail. 2013;19(4):200–6.

    Article  PubMed  Google Scholar 

  16. Wai A, Pulver L, Oliver K, Thompson A. Current discharge management of acute coronary syndromes: baseline results from a national quality improvement initiative. Intern Med J. 2012;42:e53–9.

    Article  CAS  PubMed  Google Scholar 

  17. Bi Y, Gao R, Patel A, et al. Evidence-based medication use among Chinese patients with acute coronary syndromes at the time of hospital discharge and 1 year after hospitalization: results from the Clinical Pathways for Acute Coronary Syndromes in China (CPACS) study. Am Heart J. 2009;157:509–16.

    Article  PubMed  Google Scholar 

  18. Al-Zakwani I, Zubaid M, Panduranga P, et al. Medication use pattern and predictors for optimal therapy at discharge in 8176 patients with acute coronary syndromes from 6 Middle Eastern countries: data from the gulf registry of acute coronary events. Angiology. 2011;62(6):447–54.

    Article  PubMed  Google Scholar 

  19. Pfeffer MA, Braunwald E, Moye LA, The SAVE Investigators, et al. Effect of captopril on mortality and morbidity in patients with left ventricular dysfunction after myocardial infarction. Results of the survival and ventricular enlargement trial. N Engl J Med. 1992;327(10):669–77.

    Article  CAS  PubMed  Google Scholar 

  20. Davis AM, Vinci LM, Okwuosa TM, Chase AR, Huang ES. Cardiovascular health disparities: a systematic review of health care interventions. MCRR. 2007;64:29s–100s.

    PubMed  Google Scholar 

  21. Scirica BM, Cannon CP, Antman EM, et al. Validation of the thrombolysis in myocardial infarction (TIMI) risk score for unstable angina pectoris and non-ST-elevation myocardial infarction in the TIMI III registry. Am J Cardiol. 2002;90(3):303–5.

    Article  PubMed  Google Scholar 

  22. Hwang IC, Jeon JY, Kim Y, et al. Association between aspirin therapy and clinical outcomes in patients with non-obstructive coronary artery disease: a cohort study. PLoS One. 2015;10(6):e0129584.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Hwang IC, Jeon JY, Kim Y, et al. Statin therapy is associated with lower all-cause mortality in patients with non-obstructive coronary artery disease. Atherosclerosis. 2015;239(2):335–42.

    Article  CAS  PubMed  Google Scholar 

  24. Tam LM, Fonarow GC, Bhatt DL, et al. Achievement of guideline-concordant care and in-hospital outcomes in patients with coronary artery disease in teaching and nonteaching hospitals: results from get with the guidelines—coronary artery disease program. Circ Cardiovasc Qual Outcomes. 2013;6(1):58–65.

    Article  PubMed  Google Scholar 

  25. Faridi KF, Peterson ED, McCoy LA, et al. Timing of first postdischarge follow-up and medication adherence after acute myocardial infarction. JAMA Cardiol. 2016;1(2):147–55.

    Article  PubMed  Google Scholar 

  26. Lauffenburger JC, Robinson JG, Oramasionwu C, Fang G. Racial/ethnic and gender gaps in the use of and adherence to evidence-based preventative therapies among elderly Medicare Part D beneficiaries after acute myocardial infarction. Cirrculation. 2014;129(7):754–63.

    Article  Google Scholar 

  27. Rassi AN, Cavender MA, Fonarow GC, et al. Temporal trends and predictors in the use of aldosterone antagonists post-acute myocardial infarction. J Am Coll Cardiol. 2013;61(1):35–40.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to acknowledge Chelsea LaPreze, Pharm.D., for her contributions to data collection for this project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ashley N. Fox.

Ethics declarations

Conflict of interest

Authors Fox, Miller, Skrepnek, Schwier, and Ripley declare they have no potential conflicts of interest that might be relevant to the contents of this manuscript.

Funding

No external funding was used in the preparation of this manuscript. None of the authors received grant support or other types of extramural funding for the writing of this manuscript.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fox, A.N., Skrepnek, G.H., Miller, J.L. et al. Optimal Medical Therapy Prescribing Patterns and Disparities Identified in Patients with Acute Coronary Syndromes at an Academic Medical Center in an Area with High Coronary Heart Disease-Related Mortality. Am J Cardiovasc Drugs 19, 185–193 (2019). https://doi.org/10.1007/s40256-018-0308-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40256-018-0308-x

Navigation