Exercise electrocardiography for pre-test assessment of the likelihood of coronary artery disease

Laust Dupont Rasmussen*, Samuel E. Schmidt, Juhani Knuuti, David E. Newby, Trisha Singh, Koen Nieman, Tjebbe W. Galema, Christiaan Vrints, Morten Bottcher, Simon Winther

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)

Abstract

Objectives: To develop a tool including exercise electrocardiography (ExECG) for patient-specific clinical likelihood estimation of patients with suspected obstructive coronary artery disease (CAD). Methods: An ExECG-weighted clinical likelihood (ExECG-CL) model was developed in a training cohort of patients with suspected obstructive CAD undergoing ExECG. Next, the ExECG-CL model was applied in a CAD validation cohort undergoing ExECG and clinically driven invasive coronary angiography and a prognosis validation cohort and compared with the risk factor-weighted clinical likelihood (RF-CL) model for obstructive CAD discrimination and prognostication, respectively. In the CAD validation cohort, obstructive CAD was defined as >50% diameter stenosis on invasive coronary angiography. For prognosis, the endpoint was non-fatal myocardial infarction and death. Results: The training cohort consisted of 1214 patients. In the CAD (N=408; mean age 55 years, 53% males) and prognosis validation cohorts, 11.8% patients had obstructive CAD and 4.4% met the endpoint. In the CAD validation cohort, discrimination of obstructive CAD was similar between the ExECG-CL and RF-CL models: area under the receiver-operating characteristic curves 83.1% versus 80.7%, p=0.14. In the ExECG-CL model, more patients had very low clinical likelihood of obstructive CAD compared with the RF-CL where obstructive CAD prevalence and event risk remained low. Conclusions: ExECG incorporated into a clinical likelihood model improves reclassification of patients to a very low clinical likelihood group with very low prevalence of obstructive CAD and favourable prognosis.

Original languageEnglish
Article number322970
Pages (from-to)263-270
Number of pages8
JournalHeart
Volume110
Issue number4
DOIs
Publication statusPublished - 22 Aug 2023

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Publisher Copyright: © Author(s) (or their employer(s)) 2024.
No commercial re-use. See rights and permissions. Published by BMJ.

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