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Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study
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 t...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880945/ https://www.ncbi.nlm.nih.gov/pubmed/32902743 http://dx.doi.org/10.1007/s00330-020-07175-z |
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author | Feger, Sarah Ibes, Paolo Napp, Adriane E. Lembcke, Alexander Laule, Michael Dreger, Henryk Bokelmann, Björn Davis, Gershan K. Roditi, Giles Diez, Ignacio Schröder, Stephen Plank, Fabian Maurovich-Horvat, Pal Vidakovic, Radosav Veselka, Josef Ilnicka-Suckiel, Malgorzata Erglis, Andrejs Benedek, Teodora Rodriguez-Palomares, José Saba, Luca Kofoed, Klaus F. Gutberlet, Matthias Ađić, Filip Pietilä, Mikko Faria, Rita Vaitiekiene, Audrone Dodd, Jonathan D. Donnelly, Patrick Francone, Marco Kepka, Cezary Ruzsics, Balazs Müller-Nordhorn, Jacqueline Schlattmann, Peter Dewey, Marc |
author_facet | Feger, Sarah Ibes, Paolo Napp, Adriane E. Lembcke, Alexander Laule, Michael Dreger, Henryk Bokelmann, Björn Davis, Gershan K. Roditi, Giles Diez, Ignacio Schröder, Stephen Plank, Fabian Maurovich-Horvat, Pal Vidakovic, Radosav Veselka, Josef Ilnicka-Suckiel, Malgorzata Erglis, Andrejs Benedek, Teodora Rodriguez-Palomares, José Saba, Luca Kofoed, Klaus F. Gutberlet, Matthias Ađić, Filip Pietilä, Mikko Faria, Rita Vaitiekiene, Audrone Dodd, Jonathan D. Donnelly, Patrick Francone, Marco Kepka, Cezary Ruzsics, Balazs Müller-Nordhorn, Jacqueline Schlattmann, Peter Dewey, Marc |
author_sort | Feger, Sarah |
collection | PubMed |
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 < 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-020-07175-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7880945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-78809452021-02-18 Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study Feger, Sarah Ibes, Paolo Napp, Adriane E. Lembcke, Alexander Laule, Michael Dreger, Henryk Bokelmann, Björn Davis, Gershan K. Roditi, Giles Diez, Ignacio Schröder, Stephen Plank, Fabian Maurovich-Horvat, Pal Vidakovic, Radosav Veselka, Josef Ilnicka-Suckiel, Malgorzata Erglis, Andrejs Benedek, Teodora Rodriguez-Palomares, José Saba, Luca Kofoed, Klaus F. Gutberlet, Matthias Ađić, Filip Pietilä, Mikko Faria, Rita Vaitiekiene, Audrone Dodd, Jonathan D. Donnelly, Patrick Francone, Marco Kepka, Cezary Ruzsics, Balazs Müller-Nordhorn, Jacqueline Schlattmann, Peter Dewey, Marc Eur Radiol Computed Tomography 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-020-07175-z) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-09-09 2021 /pmc/articles/PMC7880945/ /pubmed/32902743 http://dx.doi.org/10.1007/s00330-020-07175-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Computed Tomography Feger, Sarah Ibes, Paolo Napp, Adriane E. Lembcke, Alexander Laule, Michael Dreger, Henryk Bokelmann, Björn Davis, Gershan K. Roditi, Giles Diez, Ignacio Schröder, Stephen Plank, Fabian Maurovich-Horvat, Pal Vidakovic, Radosav Veselka, Josef Ilnicka-Suckiel, Malgorzata Erglis, Andrejs Benedek, Teodora Rodriguez-Palomares, José Saba, Luca Kofoed, Klaus F. Gutberlet, Matthias Ađić, Filip Pietilä, Mikko Faria, Rita Vaitiekiene, Audrone Dodd, Jonathan D. Donnelly, Patrick Francone, Marco Kepka, Cezary Ruzsics, Balazs Müller-Nordhorn, Jacqueline Schlattmann, Peter Dewey, Marc Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study |
title | Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study |
title_full | Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study |
title_fullStr | Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study |
title_full_unstemmed | Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study |
title_short | Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study |
title_sort | clinical pre-test probability for obstructive coronary artery disease: insights from the european discharge pilot study |
topic | Computed Tomography |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880945/ https://www.ncbi.nlm.nih.gov/pubmed/32902743 http://dx.doi.org/10.1007/s00330-020-07175-z |
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