Pharmacological treatment after a first myocardial infarction in Sweden—long-term adherence and prognosis

European Heart Journal - Quality of Care and Clinical Outcomes

26 March 2026
Organised by: Logo
ESC Journals CORONARY ARTERY DISEASE, ACUTE CORONARY SYNDROMES, ACUTE CARDIAC CARE Acute Coronary Syndromes PREVENTIVE CARDIOLOGY Risk Factors and Prevention

Abstract

AbstractAims

Optimizing pharmacological treatment for secondary prevention after myocardial infarction (MI) is crucial to prevent new events, but few have reported data over a long-term follow-up. The aim was to study long-term follow-up of guideline-directed medical therapy (GDMT) as a part of secondary prevention after MI.

Methods and results

Patients aged 18–84 years, hospitalized with a first acute MI between 2006 and 2022 were identified through the Swedish National Inpatient Register linked to the Prescribed Drug Register. GDMT was defined as antiplatelet/oral anticoagulant therapy (OAC), lipid lowering therapy, beta-blockers and angiotensin converting enzyme inhibitors (ACEi)/angiotensin receptor blockers (ARB). Time-updated survival analyses were used to investigate the relationship between GDMT and mortality and/or recurrent MI. A total of 96 272 individuals with acute MI were included (29.3% women). At baseline 48.4% had hypertension, 18.8% diabetes mellitus and 13.5% heart failure. Use of GDMT decreased markedly during the first year after MI. During median follow-up of 5.6 years 32.9% died. Medication with antiplatelet/OAC, lipid lowering treatment and ACEi/ARB were associated with lower risk of all cause-mortality or recurrent MI hazard ratio (HR) 0.76 [95% confidence interval (CI) 0.74–0.78], HR 0.68 [95% CI 0.67–0.70], HR 0.81 [95% CI 0.79–0.83] respectively (all P < 0.0001). Use of beta-blockers was associated with a slightly increased risk, HR 1.04 [95% CI 1.02–1.07], P = 0.0005.

Conclusions

The use of all GDMT is associated with lower risk for all-cause mortality and recurrent myocardial infarction. Long-term adherence of GDMT is suboptimal and there is a potential for further improvement.

Contributors

Maria Sakalaki
Maria Sakalaki

Author

Sahlgrenska Academy Gothenburg , Sweden

Annika Rosengren
Annika Rosengren

Author

Sahlgrenska Academy - University of Gothenburg Gothenburg , Sweden