TY - JOUR
T1 - Exercise electrocardiography for pre-test assessment of the likelihood of coronary artery disease
AU - Rasmussen, Laust Dupont
AU - Schmidt, Samuel E.
AU - Knuuti, Juhani
AU - Newby, David E.
AU - Singh, Trisha
AU - Nieman, Koen
AU - Galema, Tjebbe W.
AU - Vrints, Christiaan
AU - Bottcher, Morten
AU - Winther, Simon
N1 - Publisher Copyright: © Author(s) (or their employer(s)) 2024.
No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2023/8/22
Y1 - 2023/8/22
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85170032988&partnerID=8YFLogxK
U2 - 10.1136/heartjnl-2023-322970
DO - 10.1136/heartjnl-2023-322970
M3 - Article
C2 - 37607813
SN - 1355-6037
VL - 110
SP - 263
EP - 270
JO - Heart
JF - Heart
IS - 4
M1 - 322970
ER -