Unknown

Dataset Information

0

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


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.

SUBMITTER: Feger S 

PROVIDER: S-EPMC7880945 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Feger Sarah S   Ibes Paolo P   Napp Adriane E AE   Lembcke Alexander A   Laule Michael M   Dreger Henryk H   Bokelmann Björn B   Davis Gershan K GK   Roditi Giles G   Diez Ignacio I   Schröder Stephen S   Plank Fabian F   Maurovich-Horvat Pal P   Vidakovic Radosav R   Veselka Josef J   Ilnicka-Suckiel Malgorzata M   Erglis Andrejs A   Benedek Teodora T   Rodriguez-Palomares José J   Saba Luca L   Kofoed Klaus F KF   Gutberlet Matthias M   Ađić Filip F   Pietilä Mikko M   Faria Rita R   Vaitiekiene Audrone A   Dodd Jonathan D JD   Donnelly Patrick P   Francone Marco M   Kepka Cezary C   Ruzsics Balazs B   Müller-Nordhorn Jacqueline J   Schlattmann Peter P   Dewey Marc M  

European radiology 20200909 3


<h4>Objectives</h4>To test the accuracy of clinical pre-test probability (PTP) for prediction of obstructive coronary artery disease (CAD) in a pan-European setting.<h4>Methods</h4>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) p  ...[more]

Similar Datasets

| S-EPMC7590886 | biostudies-literature
| S-EPMC5350262 | biostudies-other
| S-EPMC4679794 | biostudies-literature
| S-EPMC9779903 | biostudies-literature
2023-07-10 | GSE236610 | GEO
| S-EPMC6477645 | biostudies-literature
| S-EPMC9504538 | biostudies-literature
| S-EPMC7904984 | biostudies-literature
| S-EPMC11307846 | biostudies-literature
2024-06-20 | MSV000095097 | MassIVE