Key Takeaways
- In the UK, 204,000 people were discharged from hospital following heart attack in 2019–20 (annual case volume used to contextualize recurrence).
- In a large cohort study of patients with established coronary heart disease, 22% experienced a recurrent major cardiovascular event over follow-up (recurrence benchmark relevant to “second” events).
- In the ACTION Registry-GWTG, 1-year mortality after myocardial infarction was 7.0% for ST-elevation MI and 12.3% for non–ST-elevation MI (outcome base for secondary prevention impact).
- After myocardial infarction, adherence to statins is strongly associated with reduced risk of recurrent major cardiovascular events (reported hazard reductions in observational analyses vary by study but typically show significant risk decreases).
- A Cochrane review found that cardiac rehabilitation reduces mortality after myocardial infarction (with quantified effect sizes reported across included trials).
- The global digital therapeutics market reached about $5B in 2023 and is projected to grow (category includes interventions targeting chronic disease and adherence).
- The global remote patient monitoring market size was about $2–3B in 2023 with rapid projected growth (secondary prevention monitoring for cardiometabolic risk).
- The U.S. home health care market revenue was about $100B+ in 2023 (relevant for post-discharge secondary prevention services).
- The U.S. AHA reports that the number of stroke and heart disease deaths remains high, motivating increased adoption of secondary prevention programs (public health trend quantified in annual death counts).
- The Global Burden of Disease 2021 study reported that ischemic heart disease remains the leading cause of death worldwide (quantified burden in deaths and DALYs).
- In the U.S., cardiac rehabilitation participation after MI is often reported around 20%–30% in published studies (quantified participation gap).
Most second heart attacks can be prevented through guideline treatments and statin plus newer add ons, supported by trials.
Related reading
Prevalence & Risk
Prevalence & Risk Interpretation
Prevention & Outcomes
Prevention & Outcomes Interpretation
Market Size
Market Size Interpretation
Industry Trends
Industry Trends Interpretation
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.
James Okoro. (2026, February 13). Second Heart Attack Statistics. Gitnux. https://gitnux.org/second-heart-attack-statistics
James Okoro. "Second Heart Attack Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/second-heart-attack-statistics.
James Okoro. 2026. "Second Heart Attack Statistics." Gitnux. https://gitnux.org/second-heart-attack-statistics.
References
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