Utility of Coronary Computed Tomography Angiography in Patients Undergoing Transcatheter Aortic Valve Implantation: A Meta-Analysis and Meta-Regression Based on Published Data from 7458 Patients.

coronary CT angiography coronary artery disease diagnostic accuracy meta-analysis transcatheter aortic valve implantation

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
22 Jan 2024
Historique:
received: 28 12 2023
revised: 12 01 2024
accepted: 19 01 2024
medline: 26 1 2024
pubmed: 26 1 2024
entrez: 26 1 2024
Statut: epublish

Résumé

Coronary CT angiography (CCTA) may detect coronary artery disease (CAD) in transcatheter aortic valve implantation (TAVI) patients and may obviate invasive coronary angiography (ICA) in selected patients. We assessed the diagnostic accuracy of CCTA for detecting CAD in TAVI patients based on published data. Meta-analysis and meta-regression were performed based on a comprehensive electronic search, including relevant studies assessing the diagnostic accuracy of CCTA in the setting of TAVI patients compared to ICA. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), were calculated on a patient and per segment level. Overall, 27 studies (total of 7458 patients) were included. On the patient level, the CCTA's pooled sensitivity and NPV were 95% (95% CI: 93-97%) and 97% (95% CI: 95-98%), respectively, while the specificity and PPV were at 73% (95% CI: 62-82%) and 64% (95% CI: 57-71%), respectively. On the segmental coronary vessel level, the sensitivity and NPV were 90% (95% CI: 79-96%) and 98% (95% CI: 97-99%). This meta-analysis highlights CCTA's potential as a first-line diagnostic tool although its limited PPV and specificity may pose challenges when interpreting heavily calcified arteries. This study underscores the need for further research and protocol standardization in this area.

Sections du résumé

BACKGROUND BACKGROUND
Coronary CT angiography (CCTA) may detect coronary artery disease (CAD) in transcatheter aortic valve implantation (TAVI) patients and may obviate invasive coronary angiography (ICA) in selected patients. We assessed the diagnostic accuracy of CCTA for detecting CAD in TAVI patients based on published data.
METHODS METHODS
Meta-analysis and meta-regression were performed based on a comprehensive electronic search, including relevant studies assessing the diagnostic accuracy of CCTA in the setting of TAVI patients compared to ICA. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), were calculated on a patient and per segment level.
RESULTS RESULTS
Overall, 27 studies (total of 7458 patients) were included. On the patient level, the CCTA's pooled sensitivity and NPV were 95% (95% CI: 93-97%) and 97% (95% CI: 95-98%), respectively, while the specificity and PPV were at 73% (95% CI: 62-82%) and 64% (95% CI: 57-71%), respectively. On the segmental coronary vessel level, the sensitivity and NPV were 90% (95% CI: 79-96%) and 98% (95% CI: 97-99%).
CONCLUSIONS CONCLUSIONS
This meta-analysis highlights CCTA's potential as a first-line diagnostic tool although its limited PPV and specificity may pose challenges when interpreting heavily calcified arteries. This study underscores the need for further research and protocol standardization in this area.

Identifiants

pubmed: 38276138
pii: jcm13020631
doi: 10.3390/jcm13020631
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Gerhard-Paul Diller (GP)

Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany.

Mirjam Gerwing (M)

Clinic of Radiology, University Hospital Muenster, 48149 Muenster, Germany.

Simona Boroni Grazioli (S)

Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany.

Fernando De-Torres-Alba (F)

Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany.

Robert M Radke (RM)

Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany.

Julia Vormbrock (J)

Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany.

Helmut Baumgartner (H)

Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany.

Gerrit Kaleschke (G)

Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany.

Stefan Orwat (S)

Department of Cardiology III, Adult Congenital and Valvular Heart Disease, University Hospital Muenster, 48149 Muenster, Germany.

Classifications MeSH