Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study

Zugehörigkeit
Charité – Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany
Feger, Sarah;
Zugehörigkeit
Charité – Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany
Ibes, Paolo;
Zugehörigkeit
Charité – Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany
Napp, Adriane E.;
Zugehörigkeit
Charité – Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany
Lembcke, Alexander;
Zugehörigkeit
Charité – Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany
Laule, Michael;
Zugehörigkeit
Charité – Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany
Dreger, Henryk;
Zugehörigkeit
Charité – Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany
Bokelmann, Björn;
Zugehörigkeit
University of Central Lancashire, Liverpool, UK
Davis, Gershan K.;
Zugehörigkeit
Institute of Cardiovascular and Medical Sciences, Glasgow University, Glasgow, UK
Roditi, Giles;
Zugehörigkeit
Department of Cardiology, Basurto University Hospital Bilbao, Bilbao, Spain
Diez, Ignacio;
Zugehörigkeit
Department of Cardiology, ALB FILS KLINIKEN, Goeppingen, Germany
Schröder, Stephen;
Zugehörigkeit
Department of Radiology and Department of Cardiology, Medical University Innsbruck, Innsbruck, Austria
Plank, Fabian;
Zugehörigkeit
Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
Maurovich-Horvat, Pal;
Zugehörigkeit
Department of Cardiology, Clinical Hospital Center “Zemun”, Faculty of Medicine, University of Belgrade, Zemun, Serbia
Vidakovic, Radosav;
Zugehörigkeit
Department of Cardiology, Motol University Hospital and 2nd School of Medicine, Charles University, Prague, Czech Republic
Veselka, Josef;
Zugehörigkeit
Department of Cardiology, Wojewodzki Szpital Specjalistyczny We Wroclawiu, Wrocław, Poland
Ilnicka-Suckiel, Malgorzata;
Zugehörigkeit
Latvian Centre of Cardiology, Pauls Stradins Clinical University Hospital, Riga, Latvia
Erglis, Andrejs;
Zugehörigkeit
Department of Cardiology, Cardio Med Medical Center Targu-Mures, Târgu Mureș, Romania
Benedek, Teodora;
Zugehörigkeit
Centro de Investigación Biomédica en Red-CV, CIBER CV, Barcelona, Spain
Rodriguez-Palomares, José;
Zugehörigkeit
Department of Radiology, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy
Saba, Luca;
Zugehörigkeit
Department of Cardiology and Radiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
Kofoed, Klaus F.;
Zugehörigkeit
Department of Diagnostic and Interventional Radiology, UNIVERSITY LEIPZIG –Heart Center Leipzig, Leipzig, Germany
Gutberlet, Matthias;
Zugehörigkeit
Department of Cardiology, Institute for Cardiovascular Diseases of Vojvodina, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
Ađić, Filip;
Zugehörigkeit
Turku PET Centre and Heart Centre, Turku University Hospital, Turku, Finland
Pietilä, Mikko;
Zugehörigkeit
Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal
Faria, Rita;
Zugehörigkeit
Department of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
Vaitiekiene, Audrone;
Zugehörigkeit
Department of Radiology, St. Vincent’s University hospital, School of Medicine, University College Dublin, Dublin, Ireland
Dodd, Jonathan D.;
Zugehörigkeit
Department of Cardiology, Southeastern Health and Social Care Trust, Belfast, Ireland
Donnelly, Patrick;
Zugehörigkeit
Department of Radiological, Pathological and Oncological Sciences, Sapienza University of Rome, Rome, Italy
Francone, Marco;
Zugehörigkeit
Dept. of Coronary and Structural Heart Diseases, Institute of Cardiology, Warsaw, Poland
Kepka, Cezary;
Zugehörigkeit
Royal Liverpool and Broadgreen University Hospital, Liverpool, UK
Ruzsics, Balazs;
Zugehörigkeit
Berlin School of Public Health Berlin, Berlin, Germany
Müller-Nordhorn, Jacqueline;
GND
138812187
Zugehörigkeit
Institut für Statistik, Medizinische Informatik, Datenwissenschaften Universitätsklinikum Jena, Leipzig, Germany
Schlattmann, Peter;
ORCID
0000-0002-4402-2733
Zugehörigkeit
DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany
Dewey, Marc

Abstract 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 < 0.001), but overestimation of disease prevalence was higher for the initial D+F ( p < 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 < 0.001; odds ratio (or) 1.55 CI 1.29–1.86, net reclassification index 0.11 CI 0.05–0.16, p < 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.

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