Key Takeaways
- In 2018, the American Heart Association estimated that 800,000 U.S. people died from cardiovascular disease events, and women represented a large share of deaths due to higher longevity
- In U.S. practice, women are less likely than men to receive evidence-based secondary prevention at discharge; registry analyses show lower usage of guideline therapies in women
- For statins after myocardial infarction, guidelines recommend high-intensity statin therapy unless contraindicated, aiming for substantial LDL-C reduction
- 1 in 5 women who have a heart attack dies, meaning about 20% die
- Cardiac rehab participation is about 20% for women compared with about 30% for men in the U.S.
- Women are less likely than men to receive guideline-recommended reperfusion therapies for acute myocardial infarction in observational comparisons
- Women with STEMI have lower rates of receiving primary PCI than men in registry analyses
- The global prevalence of ischemic heart disease in women was about 216 million cases in 2019 (i.e., total cases across age groups)
- In the U.S., about 42% of women aged ≥20 years have hypertension, prediabetes, diabetes, or high cholesterol based on combined surveillance measures
- In a meta-analysis, women’s risk of coronary heart disease increases with menopause-related risk factor changes; pooled hazard increases were reported across multiple cohort studies
- In survey research, fewer women than men recognize heart attack symptoms as warning signs, contributing to delays in seeking emergency care
- In a national survey, about 50% of women could not identify common heart attack symptoms correctly (reported in awareness studies)
- In a randomized trial, heart-attack education interventions increased symptom recognition scores by measurable margins (reported pre/post changes)
- 6.3% of all U.S. deaths in 2021 were due to coronary heart disease (CHD)
- In 2018–2020, women accounted for 53.0% of cardiovascular disease (CVD) deaths in the U.S. (age-adjusted)
About one in five women who have a heart attack dies, despite guideline care gaps and delays.
Treatment, Prevention, Guidelines
Treatment, Prevention, Guidelines Interpretation
Prevalence And Mortality
Prevalence And Mortality Interpretation
Access, Diagnosis, Outcomes
Access, Diagnosis, Outcomes Interpretation
Risk Factors And Incidence
Risk Factors And Incidence Interpretation
Awareness, Education, Behavior
Awareness, Education, Behavior Interpretation
Mortality & Survival
Mortality & Survival Interpretation
Risk & Prevalence
Risk & Prevalence Interpretation
Incidence & Burden
Incidence & Burden Interpretation
Prehospital & Treatment
Prehospital & Treatment Interpretation
System Performance
System Performance Interpretation
Rehabilitation & Outcomes
Rehabilitation & Outcomes Interpretation
Clinical Evidence & Trials
Clinical Evidence & Trials 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.
Marcus Afolabi. (2026, February 13). Women Heart Attack Statistics. Gitnux. https://gitnux.org/women-heart-attack-statistics
Marcus Afolabi. "Women Heart Attack Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/women-heart-attack-statistics.
Marcus Afolabi. 2026. "Women Heart Attack Statistics." Gitnux. https://gitnux.org/women-heart-attack-statistics.
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