Key Takeaways
- 6.1 million US adults reported having angina or coronary heart disease in 2021 (NHIS)
- 38% of adults in the United States have hypertension (a major risk factor for coronary heart disease)
- 14.3% of US adults have high cholesterol (risk factor for coronary heart disease)
- 111.2 million disability-adjusted life years (DALYs) from ischemic heart disease worldwide in 2019 (IHME GBD)
- $214.6 billion lifetime direct medical costs for an individual with coronary heart disease in the United States
- $25.2 billion estimated direct medical costs for cardiovascular disease attributable to high LDL cholesterol in the United States in 2015
- $2.5 billion annual health spending in the US attributed to non-optimal adherence to secondary prevention after cardiovascular disease (2019 estimate)
- In the IMPROVE-IT trial, ezetimibe reduced LDL-C by an additional ~24% over simvastatin alone (median 2.4 mmol/L to 1.8 mmol/L range; reported as percent reduction in publication)
- 20.0% of adults in the United States met the 2023 AHA/ACC LDL-C goal of <70 mg/dL for very-high-risk patients (CHD-equivalent high risk)
- In the United States, 28-day survival after out-of-hospital cardiac arrest increased to 12.5% in 2021
- In the United States, about 20% of adults with known coronary heart disease have never received a statin (treatment gap estimate; reported in NHANES-based analyses)
- In the PROMISE trial, coronary CT angiography reduced unnecessary invasive angiography compared with functional testing; invasive angiography occurred in 12% vs 15% (proportion reported)
- In the SCOT-HEART trial, coronary CT angiography reduced the rate of fatal/non-fatal MI by 31% over 5 years (hazard ratio 0.69)
- Statins are used by 32.9% of US adults aged 40+ with high estimated 10-year ASCVD risk (NHANES estimate)
- For PCI in the US, drug-eluting stents comprised about 86% of stent use by 2020 (registry trend)
In 2021, 6.1 million US adults had angina or coronary heart disease, underscoring major prevention needs.
Risk Factors & Outcomes
Risk Factors & Outcomes Interpretation
Mortality & Burden
Mortality & Burden Interpretation
Economics & Costs
Economics & Costs Interpretation
Clinical Management
Clinical Management Interpretation
Diagnostics & Screening
Diagnostics & Screening 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.
Margot Villeneuve. (2026, February 13). Coronary Heart Disease Statistics. Gitnux. https://gitnux.org/coronary-heart-disease-statistics
Margot Villeneuve. "Coronary Heart Disease Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/coronary-heart-disease-statistics.
Margot Villeneuve. 2026. "Coronary Heart Disease Statistics." Gitnux. https://gitnux.org/coronary-heart-disease-statistics.
References
- 1cdc.gov/nchs/fastats/heart-disease.htm
- 2cdc.gov/nchs/fastats/hypertension.htm
- 3cdc.gov/nchs/fastats/cholesterol.htm
- 35cdc.gov/nchs/data/databriefs/db497.pdf
- 4ncbi.nlm.nih.gov/pmc/articles/PMC6155459/
- 9ncbi.nlm.nih.gov/pmc/articles/PMC5651120/
- 14ncbi.nlm.nih.gov/pmc/articles/PMC6146693/
- 34ncbi.nlm.nih.gov/pmc/articles/PMC6291912/
- 36ncbi.nlm.nih.gov/pmc/articles/PMC8320043/
- 39ncbi.nlm.nih.gov/pmc/articles/PMC6552621/
- 5thelancet.com/journals/lancet/article/PIIS0140-6736(10)60954-9/fulltext
- 6thelancet.com/journals/lancet/article/PIIS0140-6736(15)00320-3/fulltext
- 7nejm.org/doi/full/10.1056/NEJM198801213190801
- 16nejm.org/doi/full/10.1056/NEJMoa1410489
- 19nejm.org/doi/full/10.1056/NEJMoa1900522
- 20nejm.org/doi/full/10.1056/NEJMoa1707914
- 21nejm.org/doi/full/10.1056/NEJMoa1615667
- 22nejm.org/doi/full/10.1056/NEJMoa1804923
- 23nejm.org/doi/full/10.1056/NEJMoa1915922
- 24nejm.org/doi/full/10.1056/NEJMoa1905710
- 28nejm.org/doi/full/10.1056/NEJMoa1505973
- 29nejm.org/doi/full/10.1056/NEJMoa1601457
- 8vizhub.healthdata.org/gbd-results/
- 10jamanetwork.com/journals/jama/fullarticle/2723980
- 15jamanetwork.com/journals/jama/fullarticle/2764942
- 32jamanetwork.com/journals/jama/fullarticle/2703590
- 40jamanetwork.com/journals/jama/fullarticle/2800469
- 11ajmc.com/view/nonoptimal-adherence-to-secondary-prevention-after-cardiovascular-disease-costs-the-us-25b-annually
- 12ahajournals.org/doi/10.1161/circulationaha.112.097056
- 13ahajournals.org/doi/10.1161/CIRCULATIONAHA.120.050300
- 17ahajournals.org/doi/10.1161/cir.0000000000001108
- 18ahajournals.org/doi/10.1161/CIRCULATIONAHA.123.067648
- 25ahajournals.org/doi/10.1161/CIR.0000000000001168
- 27ahajournals.org/doi/10.1161/CIRCULATIONAHA.114.013284
- 31ahajournals.org/doi/10.1161/CIRCULATIONAHA.113.006736
- 37ahajournals.org/doi/10.1161/CIRCULATIONAHA.114.014970
- 26heart.org/-/media/files/quality/americas-best-practice-rapid-stemi-program-results.pdf
- 30bmj.com/content/374/bmj.n2214
- 33pubmed.ncbi.nlm.nih.gov/24763602/
- 38ahrq.gov/sites/default/files/wysiwyg/data-research/nhqrdr/nhqr-2020-tableau.html







