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. (12th June 2019)
- Record Type:
- Journal Article
- Title:
- 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. (12th June 2019)
- Main Title:
- 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
- Authors:
- Haase, Robert
Schlattmann, Peter
Gueret, Pascal
Andreini, Daniele
Pontone, Gianluca
Alkadhi, Hatem
Hausleiter, Jörg
Garcia, Mario J
Leschka, Sebastian
Meijboom, Willem B
Zimmermann, Elke
Gerber, Bernhard
Schoepf, U Joseph
Shabestari, Abbas A
Nørgaard, Bjarne L
Meijs, Matthijs F L
Sato, Akira
Ovrehus, Kristian A
Diederichsen, Axel C P
Jenkins, Shona M M
Knuuti, Juhani
Hamdan, Ashraf
Halvorsen, Bjørn A
Mendoza-Rodriguez, Vladimir
Rochitte, Carlos E
Rixe, Johannes
Wan, Yung Liang
Langer, Christoph
Bettencourt, Nuno
Martuscelli, Eugenio
Ghostine, Said
Buechel, Ronny R
Nikolaou, Konstantin
Mickley, Hans
Yang, Lin
Zhang, Zhaqoi
Chen, Marcus Y
Halon, David A
Rief, Matthias
Sun, Kai
Hirt-Moch, Beatrice
Niinuma, Hiroyuki
Marcus, Roy P
Muraglia, Simone
Jakamy, Réda
Chow, Benjamin J
Kaufmann, Philipp A
Tardif, Jean-Claude
Nomura, Cesar
Kofoed, Klaus F
Laissy, Jean-Pierre
Arbab-Zadeh, Armin
Kitagawa, Kakuya
Laham, Roger
Jinzaki, Masahiro
Hoe, John
Rybicki, Frank J
Scholte, Arthur
Paul, Narinder
Tan, Swee Y
Yoshioka, Kunihiro
Röhle, Robert
Schuetz, Georg M
Schueler, Sabine
Coenen, Maria H
Wieske, Viktoria
Achenbach, Stephan
Budoff, Matthew J
Laule, Michael
Newby, David E
Dewey, Marc
… (more) - Abstract:
- 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 Unpublished studies were identified via direct contact with participating investigators.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 ofAbstract: 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. … (more)
- Is Part Of:
- BMJ. Volume 365(2019)
- Journal:
- BMJ
- Issue:
- Volume 365(2019)
- Issue Display:
- Volume 365, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 365
- Issue:
- 2019
- Issue Sort Value:
- 2019-0365-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-06-12
- Subjects:
- Medicine -- Periodicals
Medicine -- Periodicals
Medicine
Periodicals
610 - Journal URLs:
- http://www.bmj.com/archive ↗
http://www.jstor.org/journals/09598138.html ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/3/ ↗
http://www.bmj.com/bmj/ ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/bmj.l1945 ↗
- Languages:
- English
- ISSNs:
- 0007-1447
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- Legaldeposit
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