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Improved Drug Adherence Improves Cardiac Outcomes after Myocardial Infarction in Diabetic Patients

https://doi.org/10.18087/cardio.2025.9.n2937

Abstract

Background  Diabetic patients face a higher risk of adverse cardiac events following myocardial infarction (MI).
Medication adherence plays a key role in secondary prevention, but its specific impact on the prognosis
of diabetic patients with MI has not been comprehensively evaluated.

Material and methods This retrospective cohort study analyzed medical records of 428 diabetic patients with acute MI over
a 24‑mo review period. Patient adherence to antiplatelet drugs, statins, β-blockers, and angiotensin-converting enzyme inhibitors / angiotensin receptor blockers (ACEI / ARBs) was retrospectively assessed through medical records and patient interviews, categorized using the 8‑item Morisky Medication Adherence Scale (MMAS-8). Primary endpoints included all-cause mortality, cardiovascular mortality, recurrent MI, and unplanned rehospitalization. Clinical indicators, including left ventricular ejection
fraction (LVEF), N-terminal pro-brain natriuretic peptide (NT-proBNP), glycated hemoglobin (HbA1c), low-density lipoprotein cholesterol (LDL–C), blood pressure, and creatinine clearance rate (CrCl), were extracted and analyzed from electronic medical records. Cox proportional hazards models were used to analyze the association between medication adherence and clinical outcomes.

Results Retrospective analysis showed that, compared to patients with low adherence, patients with high adherence (MMAS-8 score ≥6) had a 42 % reduction in all-cause mortality, a 38 % reduction in cardiovascular mortality, and a 35 % reduction in the risk of recurrent MI. Multivariate analysis showed that medication adherence was an independent predictor of adverse cardiovascular events. For clinical indicators, the high-adherence group performed significantly better in LVEF, NT-proBNP concentration, HbA1c control, LDL–C target achievement, blood pressure control, and CrCl stability

Conclusion  Retrospective data analysis indicates that medication adherence is significantly associated with cardiac outcomes in diabetic patients after MI. Improving medication adherence should reduce the occurrence of adverse cardiovascular events and improve key clinical indicators.

About the Authors

Wenna Ji
Department of Endocrinology, Yan’an People’s Hospital
China

Associate Chief Physician

Yan’an, 716000, China



Liang Xue
Department of Orthopedics, The First Affiliated Hospital of Yan’an University
China

Associate Chief Physician

Yan’an, 716000, China



Haijun Wang
Department of Endocrinology, Yan’an People’s Hospital
China

Chief Physician

Yan’an, 716000, China



Xiaoni Liu
Department of Endocrinology, Yan’an People’s Hospital
China

Chief Physician

Yan’an, 716000, China



Taotao Li
Department of Endocrinology, Yan’an People’s Hospital
China

Nurse-in-Charge

Yan’an, 716000, China



References

1. Schmitz T, Wein B, Raake P, Heier M, Peters A, Linseisen J et al. Do patients with diabetes with new onset acute myocardial infarction present with different symptoms than non-diabetic patients? Frontiers in Cardiovascular Medicine. 2024;11:1324451. DOI: 10.3389/fcvm.2024.1324451

2. Adamek KE, Ramadurai D, Gunzburger E, Plomondon ME, Ho PM, Raghavan S. Association of Diabetes Mellitus Status and Glycemic Control With Secondary Prevention Medication Adherence After Acute Myocardial Infarction. Journal of the American Heart Association. 2019;8(3):e011448. DOI: 10.1161/JAHA.118.011448

3. Kristensen AMD, Pareek M, Kragholm KH, McEvoy JW, Torp-Pedersen C, Prescott EB. Long-term aspirin adherence following myocardial infarction and risk of cardiovascular events. European Heart Journal - Quality of Care and Clinical Outcomes. 2024;10(7):612–22. DOI: 10.1093/ehjqcco/qcae009

4. Bana A, Sharma KK, Guptha S, Gupta R. Adherence to pharmaco-therapy for secondary prevention of coronary heart disease: A registry-based prospective study. Indian Heart Journal. 2025;77(2):84–8. DOI: 10.1016/j.ihj.2025.02.009

5. Mathews R, Peterson ED, Honeycutt E, Chin CT, Effron MB, Zettler M et al. Early Medication Nonadherence After Acute Myocardial Infarction: Insights into Actionable Opportunities From the TReatment with ADP receptor iNhibitorS: Longitudinal Assessment of Treatment Patterns and Events after Acute Coronary Syndrome (TRANSLATE-ACS) Study. Circulation: Cardiovascular Quality and Outcomes. 2015;8(4):347–56. DOI: 10.1161/CIRCOUTCOMES.114.001223

6. Hussain S, Jamal SZ, Qadir F. Medication Adherence In Post Myocardial Infarction Patients. Journal of Ayub Medical College, Abbottabad. 2018;30(4):552–7. PMID: 30632336

7. Bansilal S, Castellano JM, Garrido E, Wei HG, Freeman A, Spettell C et al. Assessing the Impact of Medication Adherence on Long-Term Cardiovascular Outcomes. Journal of the American College of Cardiology. 2016;68(8):789–801. DOI: 10.1016/j.jacc.2016.06.005

8. Choudhry NK, Glynn RJ, Avorn J, Lee JL, Brennan TA, Reisman L et al. Untangling the relationship between medication adherence and post–myocardial infarction outcomes. American Heart Journal. 2014;167(1):51-58.e5. DOI: 10.1016/j.ahj.2013.09.014

9. Zhang X, Zhao S, Huang Y, Ma M, Li B, Li C et al. Diabetes‐Related Macrovascular Complications Are Associated With an Increased Risk of Diabetic Microvascular Complications: A Prospective Study of

10. Patients With Type 1 Diabetes and 20 802 Patients With Type 2 Diabetes in the UK Biobank. Journal of the American Heart Association. 2024;13(11):e032626. DOI: 10.1161/JAHA.123.032626

11. Mao S, Chen P, Pan W, Gao L, Zhang M. Exacerbated post‐infarct pathological myocardial remodelling in diabetes is associated with impaired autophagy and aggravated NLRP3 inflammasome activation. ESC Heart Failure. 2022;9(1):303–17. DOI: 10.1002/ehf2.13754

12. Tudurachi B-S, Anghel L, Tudurachi A, Sascău RA, Zanfirescu R-L, Stătescu C. Unraveling the Cardiac Matrix: From Diabetes to Heart Failure, Exploring Pathways and Potential Medications. Biomedicines. 2024;12(6):1314. DOI: 10.3390/biomedicines12061314

13. Luis Ferreiro J, J. Angiolillo D. Challenges and Perspectives of Anti-platelet Therapy in Patients with Diabetes Mellitus and Coronary Artery Disease. Current Pharmaceutical Design. 2012;18(33):5273–93. DOI: 10.2174/138161212803251916

14. Zhou Q, Liao J. Statins and Cardiovascular Diseases: From Cholesterol Lowering to Pleiotropy. Current Pharmaceutical Design. 2009;15(5):467–78. DOI: 10.2174/138161209787315684

15. Martin N, Manoharan K, Davies C, Lumbers RT. Beta-blockers and inhibitors of the renin-angiotensin aldosterone system for chronic heart failure with preserved ejection fraction. Cochrane Database of Systematic Reviews. 2021;2021(5):CD012721. DOI: 10.1002/14651858.CD012721.pub3

16. Huber CA, Meyer MR, Steffel J, Blozik E, Reich O, Rosemann T. Post-myocardial Infarction (MI) Care: Medication Adherence for Secondary Prevention After MI in a Large Real-world Population. Clinical Therapeutics. 2019;41(1):107–17. DOI: 10.1016/j.clinthera.2018.11.012

17. Cavender MA, Smith SC. How Can We Increase the Utilization of Evidence-Based Medication After Myocardial Infarction? JAMA Network Open. 2024;7(11):e2447075. DOI: 10.1001/jamanetworkopen.2024.47075

18. Librero J, Sanfélix-Gimeno G, Peiró S. Medication Adherence Patterns after Hospitalization for Coronary Heart Disease. A Population-Based Study Using Electronic Records and Group-Based Trajectory Models. PLOS ONE. 2016;11(8):e0161381. DOI: 10.1371/journal.pone.0161381

19. Kardas P, Lewek P, Matyjaszczyk M. Determinants of patient adherence: a review of systematic reviews. Frontiers in Pharmacology. 2013;4:91. DOI: 10.3389/fphar.2013.00091

20. Kvarnström K, Westerholm A, Airaksinen M, Liira H. Factors Contributing to Medication Adherence in Patients with a Chronic Condition: A Scoping Review of Qualitative Research. Pharmaceutics. 2021;13(7):1100. DOI: 10.3390/pharmaceutics13071100

21. Mondesir FL, Levitan EB, Malla G, Mukerji R, Carson AP, Safford MM et al. Patient Perspectives on Factors Influencing Medication Adherence Among People with Coronary Heart Disease (CHD) and CHD Risk Factors. Patient Preference and Adherence. 2019;13:2017–27. DOI: 10.2147/PPA.S222176

22. Cope R, Jonkman L, Quach K, Ahlborg J, Connor S. Transitions of care: Medication-related barriers identified by low socioeconomic patients of a federally qualified health center following hospital discharge. Research in Social and Administrative Pharmacy. 2018;14(1):26–30. DOI: 10.1016/j.sapharm.2016.12.007

23. Jaam M, Hadi MA, Kheir N, Mohamed Ibrahim MI, Diab M, Al-Abdulla S et al. A qualitative exploration of barriers to medication adherence among patients with uncontrolled diabetes in Qatar: integrating perspectives of patients and health care providers. Patient Preference and Adherence. 2018;12:2205–16. DOI: 10.2147/PPA.S174652

24. Kini V, Ho PM. Interventions to Improve Medication Adherence: A Review. JAMA. 2018;320(23):2461–73. DOI: 10.1001/jama.2018.19271

25. Zhang Y, Wang R, Chen Q, Dong S, Guo X, Feng Z et al. Reliability and validity of a modified 8-item Morisky Medication Adherence Scale in patients with chronic pain. Annals of Palliative Medicine. 2021;10(8):9088–95. DOI: 10.21037/apm-21-1878

26. De Las Cuevas C, Peñate W. Psychometric properties of the eight-item Morisky Medication Adherence Scale (MMAS-8) in a psychiatric outpatient setting. International Journal of Clinical and Health Psychology. 2015;15(2):121–9. DOI: 10.1016/j.ijchp.2014.11.003

27. De Oliveira-Filho AD, Morisky DE, Neves SJF, Costa FA, De Lyra DP. The 8-item Morisky Medication Adherence Scale: Validation of a Brazilian–Portuguese version in hypertensive adults. Research in Social and Administrative Pharmacy. 2014;10(3):554–61. DOI: 10.1016/j.sapharm.2013.10.006

28. Dalli LL, Kilkenny MF, Arnet I, Sanfilippo FM, Cummings DM, Kapral MK et al. Towards better reporting of the proportion of days covered method in cardiovascular medication adherence: A scoping review and new tool TEN‐SPIDERS. British Journal of Clinical Pharmacology. 2022;88(10):4427–42. DOI: 10.1111/bcp.15391

29. Karve S, Cleves MA, Helm M, Hudson TJ, West DS, Martin BC. Good and poor adherence: optimal cut-point for adherence measures using administrative claims data. Current Medical Research and Opinion. 2009;25(9):2303–10. DOI: 10.1185/03007990903126833

30. Cameron KA, Ross EL, Clayman ML, Bergeron AR, Federman AD, Bailey SC et al. Measuring patients’ self-efficacy in understanding and using prescription medication. Patient Education and Counseling. 2010;80(3):372–6. DOI: 10.1016/j.pec.2010.06.029

31. Ritter PL, Lorig K. The English and Spanish Self-Efficacy to Manage Chronic Disease Scale measures were validated using multiple studies. Journal of Clinical Epidemiology. 2014;67(11):1265–73. DOI: 10.1016/j.jclinepi.2014.06.009

32. Chowdhury R, Khan H, Heydon E, Shroufi A, Fahimi S, Moore C et al. Adherence to cardiovascular therapy: a meta-analysis of prevalence and clinical consequences. European Heart Journal. 2013;34(38):2940–8. DOI: 10.1093/eurheartj/eht295

33. Wong MCS, Tam WWS, Cheung CSK, Wang HHX, Tong ELH, Sek ACH et al. Drug adherence and the incidence of coronary heart disease- and stroke-specific mortality among 218,047 patients newly prescribed an antihypertensive medication: A five-year cohort study. International Journal of Cardiology. 2013;168(2):928–33. DOI: 10.1016/j.ijcard.2012.10.048

34. Chen Y, Gao J, Lu M. Medication adherence trajectory of patients with chronic diseases and its influencing factors: A systematic review. Journal of Advanced Nursing. 2024;80(1):11–41. DOI: 10.1111/jan.15776

35. Volkova A, Shulgin B, Helmlinger G, Peskov K, Sokolov V. Optimization of the MACE endpoint composition to increase power in studies of lipid-lowering therapies – a model-based meta-analysis. Frontiers in Cardiovascular Medicine. 2024;10:1242845. DOI: 10.3389/fcvm.2023.1242845

36. Van Camp YP, Van Rompaey B, Elseviers MM. Nurse-led interventions to enhance adherence to chronic medication: systematic review and meta-analysis of randomised controlled trials. European Journal of Clinical Pharmacology. 2013;69(4):761–70. DOI: 10.1007/s00228-012-1419-y

37. Laberge M, Sirois C, Lunghi C, Gaudreault M, Nakamura Y, Bolduc C et al. Economic Evaluations of Interventions to Optimize Medication Use in Older Adults with Polypharmacy and Multimorbidity: A Systematic Review. Clinical Interventions in Aging. 2021;16:767–79. DOI: 10.2147/CIA.S304074

38. Zhao S, Zhao H, Wang L, Du S, Qin Y. Education is critical for medication adherence in patients with coronary heart disease. Acta Cardiologica. 2015;70(2):197–204. DOI: 10.1080/AC.70.2.3073511

39. Huang Y-M, Shiyanbola OO. Investigation of Barriers and Facilitators to Medication Adherence in Patients With Type 2 Diabetes Across Different Health Literacy Levels: An Explanatory Sequential Mixed Methods Study. Frontiers in Pharmacology. 2021;12:745749. DOI: 10.3389/fphar.2021.745749


Review

For citations:


Ji W., Xue L., Wang H., Liu X., Li T. Improved Drug Adherence Improves Cardiac Outcomes after Myocardial Infarction in Diabetic Patients. Kardiologiia. 2025;65(9):61-71. https://doi.org/10.18087/cardio.2025.9.n2937

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ISSN 2412-5660 (Online)