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  • Stress Testing Can...

Stress Testing Can Help Rule Out Left Main Coronary Artery Disease: Study

Written By : Medha Baranwal ,Medically Reviewed By : Dr. Kamal Kant Kohli Published On 2026-09-17T09:15:56+05:30  |  Updated On 17 Sept 2026 9:16 AM IST
Stress Testing Can Help Rule Out Left Main Coronary Artery Disease: Study
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Italy: A study published in the European Heart Journal found that standard clinical assessment combined with ECG stress testing can reliably exclude left main coronary artery disease in many patients. This simple, widely available approach may be particularly valuable in settings where CT coronary angiography is not readily accessible, helping clinicians safely identify patients at low risk while optimizing the use of advanced imaging.

Left main coronary artery disease (LMCAD) is associated with a high risk of adverse cardiovascular events, making its timely diagnosis essential. Although coronary CT angiography (CCTA) has become a key non-invasive diagnostic tool, limited access in many healthcare settings continues to pose challenges. To address this, Marco De Carlo from the Cardiac Catheterization Laboratory, Pisa University Hospital, Italy, and colleagues evaluated whether routinely available clinical information and exercise stress electrocardiogram (ECG) findings could reliably exclude LMCAD or its equivalent in patients with chronic coronary syndrome (CCS). Their findings were published in the European Heart Journal.

The multicenter case-control study included patients with chronic coronary syndrome who underwent maximal exercise stress testing before invasive coronary angiography. Researchers compared 335 patients with left main or left main-equivalent coronary artery disease with 797 matched controls and developed a prediction model using demographic, clinical, and exercise ECG variables.

Key findings from the study include:
  • The analysis included 335 patients with left main or left main-equivalent coronary artery disease and 797 matched controls.
  • The prediction model demonstrated good diagnostic performance, with an area under the curve (AUC) of 0.78.
  • Assuming a 5% prevalence of left main disease, the model achieved a negative predictive value of 98.2%.
  • The approach could safely avoid invasive coronary angiography in approximately 41% of patients.
  • For every 58 unnecessary angiograms avoided, only one case of left main or equivalent disease would be missed.
  • The findings support an initial non-invasive management strategy for most patients with chronic coronary syndrome who are able to perform maximal exercise testing.

The researchers noted that the findings are limited to patients able to undergo a maximal, interpretable exercise stress test and may not apply to those with baseline ECG abnormalities or severe left ventricular dysfunction. They also acknowledged the retrospective design, underrepresentation of women, lack of routine intracoronary imaging, and absence of long-term prognostic validation.

Overall, the findings suggest that standard clinical assessment combined with exercise stress ECG can reliably identify patients with chronic coronary syndrome who are unlikely to have left main coronary artery disease. This approach could reduce unnecessary invasive or CT coronary angiography, optimize healthcare resources, and improve patient management, particularly in settings with limited access to advanced cardiac imaging.

Reference:

De Carlo, M., Malanima, M. A., Baglietto, L., Bazan, L., Berti, S., CalabrĂ², P., Carmisciano, L., De Caterina, A. R., Fabozzo, S., Fornili, M., Ghisletti, A., Hellou, E., Lanza, G. A., Mancini, N., Massacesi, C., Neglia, D., Pastore, M. C., Patti, G., Tremamunno, S., . . . De Caterina, R. Standard clinical and stress electrocardiogram variables to exclude left main and left main-equivalent disease: The MASTER study. European Heart Journal. https://doi.org/10.1093/eurheartj/ehag464

European Heart JournalLeft main coronary artery diseasestress electrocardiogramchronic coronary syndrome
Source : European Heart Journal
Medha Baranwal
Medha Baranwal

    MSc. Biotechnology

    Medha Baranwal holds a Bachelor’s degree in Biomedical Sciences from the University of Delhi and a Master’s degree in Biotechnology from Amity University. Since May 2018, she has been contributing to Medical Dialogues, writing and editing medical news articles that translate complex research into clear, accessible information for healthcare professionals.

    Dr. Kamal Kant Kohli
    Dr. Kamal Kant Kohli

    Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751

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