Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study
Creators: name: Feger, Sarah
name: Ibes, Paolo
name: Napp, Adriane E.
name: Lembcke, Alexander
name: Laule, Michael
name: Dreger, Henryk
name: Bokelmann, Björn
name: Davis, Gershan K.
name: Roditi, Giles
name: Diez, Ignacio
name: Schröder, Stephen
name: Plank, Fabian
name: Maurovich-Horvat, Pal
name: Vidakovic, Radosav
name: Veselka, Josef
name: Ilnicka-Suckiel, Malgorzata
name: Erglis, Andrejs
name: Benedek, Teodora
name: Rodriguez-Palomares, José
name: Saba, Luca
name: Kofoed, Klaus F.
name: Gutberlet, Matthias
name: Ađić, Filip
name: Pietilä, Mikko
name: Faria, Rita
name: Vaitiekiene, Audrone
name: Dodd, Jonathan D.
name: Donnelly, Patrick
name: Francone, Marco
name: Kepka, Cezary
name: Ruzsics, Balazs
name: Müller-Nordhorn, Jacqueline
name: Schlattmann, Peter
name: Dewey, Marc
Publisher: name: Charité - Universitätsmedizin Berlin
Year: 2020
Subjects: subject: Computed tomography angiography
subject: Coronary artery disease
subject: Prevalence
subject: Probability of disease
subject: 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit

description: Objectives: To test the accuracy of clinical pre-test probability (PTP) for prediction of obstructive coronary artery disease (CAD) in a pan-European setting. Methods: Patients with suspected CAD and stable chest pain who were clinically referred for invasive coronary angiography (ICA) or computed tomography (CT) were included by clinical sites participating in the pilot study of the European multi-centre DISCHARGE trial. PTP of CAD was determined using the Diamond-Forrester (D+F) prediction model initially introduced in 1979 and the updated D+F model from 2011. Obstructive coronary artery disease (CAD) was defined by one at least 50% diameter coronary stenosis by both CT and ICA. Results: In total, 1440 patients (654 female, 786 male) were included at 25 clinical sites from May 2014 until July 2017. Of these patients, 725 underwent CT, while 715 underwent ICA. Both prediction models overestimated the prevalence of obstructive CAD (31.7%, 456 of 1440 patients, PTP: initial D+F 58.9% (28.1-90.6%), updated D+F 47.3% (34.2-59.9%), both p &lt; 0.001), but overestimation of disease prevalence was higher for the initial D+F (p &lt; 0.001). The discriminative ability was higher for the updated D+F 2011 (AUC of 0.73 95% confidence interval [CI] 0.70-0.76 versus AUC of 0.70 CI 0.67-0.73 for the initial D+F; p &lt; 0.001; odds ratio (or) 1.55 CI 1.29-1.86, net reclassification index 0.11 CI 0.05-0.16, p &lt; 0.001). Conclusions: Clinical PTP calculation using the initial and updated D+F prediction models relevantly overestimates the actual prevalence of obstructive CAD in patients with stable chest pain clinically referred for ICA and CT suggesting that further refinements to improve clinical decision-making are needed. Trial registration: https://www.clinicaltrials.gov/ct2/show/NCT02400229 KEY POINTS: • Clinical pre-test probability calculation using the initial and updated D+F model overestimates the prevalence of obstructive CAD identified by ICA and CT. • Overestimation of disease prevalence is higher for the initial D+F compared with the updated D+F. • Diagnostic accuracy of PTP assessment varies strongly between different clinical sites throughout Europe.