Key Takeaways
- 106.7 million disability-adjusted life years (DALYs) from ischemic heart disease in 2019 (burden including myocardial infarction)
- USD 17.3 billion direct medical costs for acute myocardial infarction and coronary heart disease in the U.S. in 2019
- USD 44.6 billion total economic costs for cardiovascular disease in the U.S. in 2016 (includes events such as myocardial infarction)
- 7% 30-day mortality for ST-segment elevation myocardial infarction (STEMI) in modern registries after reperfusion
- Approximately 10% of patients with myocardial infarction experience recurrent MI within 1 year
- 5–8% rate of in-hospital reinfarction among acute MI patients in contemporary observational cohorts
- 81% of cardiovascular drug approvals in 2021 were for lipid or platelet-targeting therapies relevant to post-MI management
- 2023 U.S. generic drug share is 92% by prescriptions (statin and antiplatelet generics drive affordability in post-MI therapy)
- FDA approval of tenecteplase for STEMI: accelerated thrombolysis option used when PCI is unavailable (approval-based adoption quantification varies; approval supports market availability)
- 62% of STEMI patients received reperfusion therapy within guideline-recommended time windows in selected registry settings (system-performance metric)
- Door-to-balloon median time was 90 minutes or less in benchmarking programs targeting 90-minute performance
- Every 10-minute improvement in door-to-balloon time is associated with lower short-term mortality (observed relationship quantified in registry analyses)
- Nearly 5% of U.S. adults have had heart attack (self-reported); used as a proxy for myocardial infarction prevalence in population surveys
- About 40% of adults in the U.S. have hypertension (a major risk factor for MI)
- In INTERHEART, 9 modifiable risk factors accounted for about 90% of the risk of acute myocardial infarction worldwide
Millions suffer myocardial infarction yearly, and faster reperfusion plus proper secondary prevention can greatly save lives.
Related reading
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Disease Burden Interpretation
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Clinical Outcomes Interpretation
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Market & Therapies Interpretation
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Health System Performance Interpretation
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Epidemiology & Risk Interpretation
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Cost Analysis
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How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Felix Zimmermann. (2026, February 13). Myocardial Infarction Statistics. Gitnux. https://gitnux.org/myocardial-infarction-statistics
Felix Zimmermann. "Myocardial Infarction Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/myocardial-infarction-statistics.
Felix Zimmermann. 2026. "Myocardial Infarction Statistics." Gitnux. https://gitnux.org/myocardial-infarction-statistics.
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