Silent CAD – The Limitations of Current CAD Tests

In many cases, CAD develops silently, with no symptoms until a sudden cardiovascular event occurs. Studies also show that 50% of men and 64% of women who suffer a fatal heart attack had no prior warning symptoms, averaging approximately 57% across genders⁷. An important fact is that nearly 45% of sudden cardiac deaths (SCDs) happen in people with no history of heart disease¹⁷.

And in 90% of these cases, doctors did not diagnose it until after death¹⁷. This asymptomatic character is critical in healthcare. By the time symptoms appear or a stress test is done, coronary narrowing can already be severe. This limits the effectiveness of preventive therapy⁶ and highlights the urgent, unmet need: earlier, highly accessible CAD assessment for at-risk patients before irreversible damage occurs.

50%

of men who suffer a fatal heart attack had no prior warning symptoms

64%

of women who suffer a fatal heart attack had no prior warning symptoms

45%

of sudden cardiac deaths happen in people with no history of heart disease

90%

of these cases were not diagnosed until after death

Why CAD Often Goes Undetected

Coronary artery disease (CAD) usually involves blockages in the main coronary arteries. This leads to myocardial ischemia. Myocardial ischemia happens when the heart’s need for oxygen does not match its supply.

1

Plaque builds up

Coronary arteries slowly narrow, often without any symptoms

2

Ischaemia develops

The heart’s oxygen supply no longer matches its demand

3

Detected too late

Current tests pick it up once the disease is already advanced

This ischaemia-centric model, despite being present for centuries, has shown limitations in clinical practice. By the time ischaemia is detectable, the disease is often already advanced, limiting opportunities for preventive care and making treatment more invasive and costly⁸.

Healthcare professional monitoring a CardioClin test on a tablet while the patient lies down

Why Improved CAD Awareness Matters

Coronary artery disease (CAD) does not always announce itself with clear symptoms, and when symptoms do occur, they can be misleading or attributed to other conditions. This diagnostic uncertainty makes early detection challenging. In fact, a large-scale study published in the New England Journal of Medicine found that over 60% of patients referred for elective coronary angiography did not have obstructive CAD, despite being referred based on symptoms or noninvasive testing⁹. This points to major weak spots in current screening methods.

High False Positives in Symptom-Based CAD Screening

Even in patients with symptoms, available risk screening tests are less than ideal. Studies show that 4 out of 5 patients sent for testing don’t have obstructive coronary artery disease (CAD). Most tests come back negative, yet many patients still go through extra procedures and face higher costs, even though they’re not truly at risk⁴.

This over-referral leads to:

Not only is CAD underdiagnosed, it is overexamined in the wrong populations.

man with CardioClin device on chest
Paramedic assisting elderly woman in ambulance.

Diagnostic Gaps Across Care Settings

The issue is not limited to general practice. Across hospitals and clinics, healthcare professionals decide who gets tested for coronary artery disease (CAD) based on a person’s symptoms. But these symptoms don’t always match the real disease, so many cases go missed or misjudged.

As a result:

Today

Reactive

Designed to confirm disease only after symptoms appear

The opportunity

Proactive

Early CAD screening, especially in patients with multiple risk factors

Current screening technology is reactive, designed to confirm disease only after symptoms appear. The true opportunity lies in shifting to proactive early CAD screening, especially in patients with multiple risk factors. This shift not only improves clinical outcomes, but also significantly reduces the burden on healthcare.

Explore Partnerships

Discover how HeartForce provides a scalable, cost-effective, and patient-friendly solution to improve outcomes and reduce unnecessary testing.

  1. World Health Organization. Cardiovascular diseases [Internet]. Geneva: World Health Organization; [cited 2025 Aug 14]. Available from: https://www.who.int/health-topics/cardiovascular-diseases#tab=tab_1 
  2. World Health Organization. Global Health Estimates: Leading causes of death [Internet]. Geneva: World Health Organization; [cited 2025 Aug 14]. Available from: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death 
  3. Alizadehsani R, Abdar M, Roshanzamir M, Khosravi A, Kebriaei H, Khozeimeh F, et al. Clinical updates in coronary artery disease: A comprehensive review. J Clin Med. 2024;13(16):4600. Available from: https://www.mdpi.com/2077-0383/13/16/4600
  4. Koloi A, Loukas VS, Hourican C, Sakellarios AI, Quax R, Mishra PP, Lehtimäki T, Raitakari OT, Papaloukas C, Bosch JA. Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data. Eur Heart J Digit Health. 2024 Sep;5(5):542–550. Available from: https://doi.org/10.1093/ehjdh/ztae049 
  5. Al-Sabah A. Understanding early detection of coronary artery disease. J Coron Heart Dis. 2024;8(5). Available from: https://www.hilarispublisher.com/open-access/understanding-early-detection-of-coronary-artery-disease.pdf 
  6. Lanza GA. The role of ECG exercise stress testing in the assessment of patients with suspected coronary artery disease. Eur Cardiol Rev. 2025;20:e16. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC12159857/
  7. Vandeloo B, Andreini D, Brouwers S, Mizukami T, Monizzi G, Lochy S, Mileva N, Argacha JF, De Boulle M, Muyldermans P, et al. Diagnostic performance of exercise stress tests for detection of epicardial and microvascular coronary artery disease: the UZ Clear study. EuroIntervention. 2023;19:e1090–e1099. Available from: https://eurointervention.pcronline.com/doi/10.4244/EIJ-D-22-00270 
  8. Gibson CM, Boden WE, Theroux P, Col J, Hamm CW, Gupta M, et al. The use of the exercise treadmill test in the era of coronary risk stratification: time to revisit its role? J Am Coll Cardiol. 2002;39(9):1450–5. Available from: https://www.jacc.org/doi/10.1016/S0735-1097(02)02897-8 
  9. Skjelbred T, Warming PE, Krøll J, Andersen MP, Torp-Pedersen C, Winkel BG, et al. Sudden cardiac death as first manifestation of cardiovascular disease: a nationwide study of 54,028 deaths. JACC Clin Electrophysiol. 2025 May;11(5):881–90. Available from: https://pubmed.ncbi.nlm.nih.gov/39918459/
  10. Corrado D, Thiene G, Pennelli N. Sudden death as the first manifestation of coronary artery disease in young people (≤35 years). Eur Heart J. 1988 Dec;9 Suppl N:139–44. Available from: https://pubmed.ncbi.nlm.nih.gov/3246245/
  11. Vähätalo J, Holmström L, Pakanen L, Kaikkonen K, Perkiömäki J, Huikuri H, et al. Coronary artery disease as the cause of sudden cardiac death among victims <50 years of age. Am J Cardiol. 2021 May 15;147:33–8. Available from: https://www.sciencedirect.com/science/article/pii/S0002914921001570
  12. Hecht HS, Cronin P, Blaha MJ, et al. 2016 SCCT/AHA/ACC/AATS/ACR/ASA/SCAI/SCMR Expert Consensus Document on Coronary CT Angiography in Normal Risk Individuals (Class III Recommendation). Circulation. 2016;134(10):e153–96. Available from: https://www.ahajournals.org/doi/10.1161/CIRCORDERS.0000000000000420
  13. Wikipedia contributors. Cardiac stress test [Internet]. Wikipedia, The Free Encyclopedia; 2024 May 31 [cited 2025 Jun 5]. Available from: https://en.wikipedia.org/wiki/Cardiac_stress_test  
  14. Michalowicz BS, Xu J, Patil KD, Sandoval Y, Fordyce CB, Newby DE, et al. All models are right but some are more useful: comparison of pre-test probability models for coronary artery disease. J Am Heart Assoc. 2023;12(4):e027260. doi:10.1161/JAHA.122.027260. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC9798801 
  15. Douglas PS, Nanna MG, Kelsey MD, et al. Comparison of an initial risk-based testing strategy vs usual testing in stable symptomatic patients with suspected coronary artery disease: the PRECISE randomized clinical trial. JAMA Cardiol. 2023 Aug 23 Available at: https://jamanetwork.com/journals/jamacardiology/fullarticle/2808765 
  16. Therming C, Galatius S, Heitmann M, Højberg S, Sørum C, Bech J, et al. Low diagnostic yield of non-invasive testing in patients with suspected coronary artery disease: results from a large unselected hospital-based sample. Eur Heart J Qual Care Clin Outcomes. 2018;4(4):301–308. https://pubmed.ncbi.nlm.nih.gov/29267950/ 
  17. Hoffmann U, Truong QA, Schoenfeld DA, et al. Coronary CT angiography versus standard evaluation in acute chest pain. N Engl J Med. 2012;367(4):299–308. Coronary CT Angiography versus Standard Evaluation in Acute Chest Pain | New England Journal of Medicine
  18. Winkler K, Gerlach N, Donner-Banzhoff N, et al. Determinants of referral for suspected coronary artery disease: a qualitative study based on decision thresholds. BMC Prim Care. 2023;24:110. Available from: https://bmcfampract.biomedcentral.com/articles/10.1186/s12875-023-02064-y
  19. Okamura T, Novak J, Kimura Y, et al. Challenges and burdens in the coronary artery disease care pathway. Int J Environ Res Public Health. 2023;20(10):6352. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177939/

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