Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium
| dc.contributor.author | Wieske Viktoria | |
| dc.contributor.author | Walther Mario | |
| dc.contributor.author | Dubourg Benjamin | |
| dc.contributor.author | Alkadhi Hatem | |
| dc.contributor.author | Nørgaard Bjarne L. | |
| dc.contributor.author | Meijs Matthijs F. L. | |
| dc.contributor.author | Diederichsen Axel C. P. | |
| dc.contributor.author | Wan Yung-Liang | |
| dc.contributor.author | Mickley Hans | |
| dc.contributor.author | Nikolaou Konstantin | |
| dc.contributor.author | Shabestari Abbas A. | |
| dc.contributor.author | Halvorsen Bjørn A. | |
| dc.contributor.author | Martuscelli Eugenio | |
| dc.contributor.author | Sun Kai | |
| dc.contributor.author | Herzog Bernhard A. | |
| dc.contributor.author | Marcus Roy P. | |
| dc.contributor.author | Leschka Sebastian | |
| dc.contributor.author | Garcia Mario J. | |
| dc.contributor.author | Ovrehus Kristian A. | |
| dc.contributor.author | Knuuti Juhani | |
| dc.contributor.author | Mendoza-Rodriguez Vladymir | |
| dc.contributor.author | Bettencourt Nuno | |
| dc.contributor.author | Muraglia Simone | |
| dc.contributor.author | Buechel Ronny R. | |
| dc.contributor.author | Kaufmann Philipp A. | |
| dc.contributor.author | Zimmermann Elke | |
| dc.contributor.author | Tardif Jean-Claude | |
| dc.contributor.author | Budoff Matthew J. | |
| dc.contributor.author | Schlattmann Peter | |
| dc.contributor.author | Dewey Marc | |
| dc.contributor.author | COME-CCT Consortium | |
| dc.contributor.organization | fi=InFLAMES Lippulaiva|en=InFLAMES Flagship| | |
| dc.contributor.organization | fi=PET-keskus|en=Turku PET Centre| | |
| dc.contributor.organization | fi=tyks, vsshp|en=tyks, varha| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.14646305228 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.68445910604 | |
| dc.converis.publication-id | 174928513 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/174928513 | |
| dc.date.accessioned | 2022-10-28T12:43:38Z | |
| dc.date.available | 2022-10-28T12:43:38Z | |
| dc.description.abstract | <p><strong>Objectives: </strong>There is conflicting evidence about the comparative diagnostic accuracy of the Agatston score versus computed tomography angiography (CTA) in patients with suspected obstructive coronary artery disease (CAD).</p><p><strong>Purpose: </strong>To determine whether CTA is superior to the Agatston score in the diagnosis of CAD.</p><p><strong>Methods: </strong>In total 2452 patients with stable chest pain and a clinical indication for invasive coronary angiography (ICA) for suspected CAD were included by the Collaborative Meta-analysis of Cardiac CT (COME-CCT) Consortium. An Agatston score of > 400 was considered positive, and obstructive CAD defined as at least 50% coronary diameter stenosis on ICA was used as the reference standard.</p><p><strong>Results: </strong>Obstructive CAD was diagnosed in 44.9% of patients (1100/2452). The median Agatston score was 74. Diagnostic accuracy of CTA for the detection of obstructive CAD (81.1%, 95% confidence interval [CI]: 77.5 to 84.1%) was significantly higher than that of the Agatston score (68.8%, 95% CI: 64.2 to 73.1%, p < 0.001). Among patients with an Agatston score of zero, 17% (101/600) had obstructive CAD. Diagnostic accuracy of CTA was not significantly different in patients with low to intermediate (1 to < 100, 100-400) versus moderate to high Agatston scores (401-1000, > 1000).</p><p><strong>Conclusions: </strong>Results in our international cohort show CTA to have significantly higher diagnostic accuracy than the Agatston score in patients with stable chest pain, suspected CAD, and a clinical indication for ICA. Diagnostic performance of CTA is not affected by a higher Agatston score while an Agatston score of zero does not reliably exclude obstructive CAD.</p><p><strong>Key points: </strong>• CTA showed significantly higher diagnostic accuracy (81.1%, 95% confidence interval [CI]: 77.5 to 84.1%) for diagnosis of coronary artery disease when compared to the Agatston score (68.8%, 95% CI: 64.2 to 73.1%, p < 0.001). • Diagnostic performance of CTA was not affected by increased amount of calcium and was not significantly different in patients with low to intermediate (1 to <100, 100-400) versus moderate to high Agatston scores (401-1000, > 1000). • Seventeen percent of patients with an Agatston score of zero showed obstructive coronary artery disease by invasive angiography showing absence of coronary artery calcium cannot reliably exclude coronary artery disease.</p> | |
| dc.format.pagerange | 5233 | |
| dc.format.pagerange | 5245 | |
| dc.identifier.eissn | 1432-1084 | |
| dc.identifier.jour-issn | 0938-7994 | |
| dc.identifier.olddbid | 178528 | |
| dc.identifier.oldhandle | 10024/161622 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/44624 | |
| dc.identifier.url | https://link.springer.com/article/10.1007/s00330-022-08619-4 | |
| dc.identifier.urn | URN:NBN:fi-fe2022081154233 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Knuuti, Juhani | |
| dc.okm.affiliatedauthor | Dataimport, tyks, vsshp | |
| dc.okm.discipline | 217 Medical engineering | en_GB |
| dc.okm.discipline | 217 Lääketieteen tekniikka | fi_FI |
| dc.okm.internationalcopublication | international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A1 ScientificArticle | |
| dc.publisher | Springer | |
| dc.publisher.country | Germany | en_GB |
| dc.publisher.country | Saksa | fi_FI |
| dc.publisher.country-code | DE | |
| dc.relation.doi | 10.1007/s00330-022-08619-4 | |
| dc.relation.ispartofjournal | European Radiology | |
| dc.relation.volume | 32 | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/161622 | |
| dc.title | Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium | |
| dc.year.issued | 2022 |
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