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Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-analysis of individual patient data.


ABSTRACT:

Objective

To determine whether coronary computed tomography angiography (CTA) should be performed in patients with any clinical probability of coronary artery disease (CAD), and whether the diagnostic performance differs between subgroups of patients.

Design

Prospectively designed meta-analysis of individual patient data from prospective diagnostic accuracy studies.

Data sources

Medline, Embase, and Web of Science for published studies. Unpublished studies were identified via direct contact with participating investigators.

Eligibility criteria for selecting studies

Prospective diagnostic accuracy studies that compared coronary CTA with coronary angiography as the reference standard, using at least a 50% diameter reduction as a cutoff value for obstructive CAD. All patients needed to have a clinical indication for coronary angiography due to suspected CAD, and both tests had to be performed in all patients. Results had to be provided using 2×2 or 3×2 cross tabulations for the comparison of CTA with coronary angiography. Primary outcomes were the positive and negative predictive values of CTA as a function of clinical pretest probability of obstructive CAD, analysed by a generalised linear mixed model; calculations were performed including and excluding non-diagnostic CTA results. The no-treat/treat threshold model was used to determine the range of appropriate pretest probabilities for CTA. The threshold model was based on obtained post-test probabilities of less than 15% in case of negative CTA and above 50% in case of positive CTA. Sex, angina pectoris type, age, and number of computed tomography detector rows were used as clinical variables to analyse the diagnostic performance in relevant subgroups.

Results

Individual patient data from 5332 patients from 65 prospective diagnostic accuracy studies were retrieved. For a pretest probability range of 7-67%, the treat threshold of more than 50% and the no-treat threshold of less than 15% post-test probability were obtained using CTA. At a pretest probability of 7%, the positive predictive value of CTA was 50.9% (95% confidence interval 43.3% to 57.7%) and the negative predictive value of CTA was 97.8% (96.4% to 98.7%); corresponding values at a pretest probability of 67% were 82.7% (78.3% to 86.2%) and 85.0% (80.2% to 88.9%), respectively. The overall sensitivity of CTA was 95.2% (92.6% to 96.9%) and the specificity was 79.2% (74.9% to 82.9%). CTA using more than 64 detector rows was associated with a higher empirical sensitivity than CTA using up to 64 rows (93.4% v 86.5%, P=0.002) and specificity (84.4% v 72.6%, P<0.001). The area under the receiver-operating-characteristic curve for CTA was 0.897 (0.889 to 0.906), and the diagnostic performance of CTA was slightly lower in women than in with men (area under the curve 0.874 (0.858 to 0.890) v 0.907 (0.897 to 0.916), P<0.001). The diagnostic performance of CTA was slightly lower in patients older than 75 (0.864 (0.834 to 0.894), P=0.018 v all other age groups) and was not significantly influenced by angina pectoris type (typical angina 0.895 (0.873 to 0.917), atypical angina 0.898 (0.884 to 0.913), non-anginal chest pain 0.884 (0.870 to 0.899), other chest discomfort 0.915 (0.897 to 0.934)).

Conclusions

In a no-treat/treat threshold model, the diagnosis of obstructive CAD using coronary CTA in patients with stable chest pain was most accurate when the clinical pretest probability was between 7% and 67%. Performance of CTA was not influenced by the angina pectoris type and was slightly higher in men and lower in older patients.

Systematic review registration

PROSPERO CRD42012002780.

SUBMITTER: Haase R 

PROVIDER: S-EPMC6561308 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Publications

Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-analysis of individual patient data.

Haase Robert R   Schlattmann Peter P   Gueret Pascal P   Andreini Daniele D   Pontone Gianluca G   Alkadhi Hatem H   Hausleiter Jörg J   Garcia Mario J MJ   Leschka Sebastian S   Meijboom Willem B WB   Zimmermann Elke E   Gerber Bernhard B   Schoepf U Joseph UJ   Shabestari Abbas A AA   Nørgaard Bjarne L BL   Meijs Matthijs F L MFL   Sato Akira A   Ovrehus Kristian A KA   Diederichsen Axel C P ACP   Jenkins Shona M M SMM   Knuuti Juhani J   Hamdan Ashraf A   Halvorsen Bjørn A BA   Mendoza-Rodriguez Vladimir V   Rochitte Carlos E CE   Rixe Johannes J   Wan Yung Liang YL   Langer Christoph C   Bettencourt Nuno N   Martuscelli Eugenio E   Ghostine Said S   Buechel Ronny R RR   Nikolaou Konstantin K   Mickley Hans H   Yang Lin L   Zhang Zhaqoi Z   Chen Marcus Y MY   Halon David A DA   Rief Matthias M   Sun Kai K   Hirt-Moch Beatrice B   Niinuma Hiroyuki H   Marcus Roy P RP   Muraglia Simone S   Jakamy Réda R   Chow Benjamin J BJ   Kaufmann Philipp A PA   Tardif Jean-Claude JC   Nomura Cesar C   Kofoed Klaus F KF   Laissy Jean-Pierre JP   Arbab-Zadeh Armin A   Kitagawa Kakuya K   Laham Roger R   Jinzaki Masahiro M   Hoe John J   Rybicki Frank J FJ   Scholte Arthur A   Paul Narinder N   Tan Swee Y SY   Yoshioka Kunihiro K   Röhle Robert R   Schuetz Georg M GM   Schueler Sabine S   Coenen Maria H MH   Wieske Viktoria V   Achenbach Stephan S   Budoff Matthew J MJ   Laule Michael M   Newby David E DE   Dewey Marc M  

BMJ (Clinical research ed.) 20190612


<h4>Objective</h4>To determine whether coronary computed tomography angiography (CTA) should be performed in patients with any clinical probability of coronary artery disease (CAD), and whether the diagnostic performance differs between subgroups of patients.<h4>Design</h4>Prospectively designed meta-analysis of individual patient data from prospective diagnostic accuracy studies.<h4>Data sources</h4>Medline, Embase, and Web of Science for published studies. Unpublished studies were identified v  ...[more]

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