Li, Pengzhu; Bačová, Martina; Dalla-Pozza, Robert; Haas, Nikolaus Alexander; Oberhoffer, Felix Sebastian (2022): Prevalence of Bicuspid Aortic Valve in Turner Syndrome Patients Receiving Cardiac MRI and CT: A Meta-Analysis. Congenital Heart Disease, 17 (2). pp. 129-141. ISSN 1747-0803
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Abstract
Turner syndrome (TS) is a rare disorder affecting 25–50 in 100000 female newborns. Bicuspid aortic valve (BAV) is assumed to be the most common congenital heart defect (CHD) in TS. In literature, reported BAV prevalence in TS ranges between 14% and 34%. The specific BAV prevalence in TS is still unknown. The aim of this study was to give a more precise estimation of BAV prevalence in TS by conducting a meta-analysis of TS-studies, which detected BAV by either cardiac magnetic resonance imaging (MRI) or cardiac computed tomography (CT). We searched PubMed, Cochrane Library, and Web of Science databases to collect observational studies including the prevalence of BAV identified by cardiac MRI or cardiac CT in TS patients up to June 4th, 2021. After screening for inclusion, data extraction, and quality assessment by two independent reviewers, the meta-analysis was performed with R 4.1.1 software. Results are shown as proportion and weighted mean difference with 95% confidence intervals (95% CI). In total, 11 studies involving 1177 patients were included. Pooled data showed that the prevalence of BAV in TS patients was 23.7% (95% CI: 21.3% to 26.1%). No high heterogeneity was found between the included studies. The current meta-analysis reveals that BAV can be detected in 23.7% of TS patients receiving cardiac MRI or cardiac CT. Therefore, BAV can be considered as the most common CHD in TS. Compared to TTE, cardiac MRI and cardiac CT might represent superior imaging modalities in BAV assessment of adult TS patients.
Doc-Type: | Article (LMU Hospital) |
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Organisational unit (Faculties): | 07 Medicine > Medical Center of the University of Munich > Pediatric Clinic and Outpatient Clinic in the Dr. von Hauner Children‘s Hospital |
DFG subject classification of scientific disciplines: | Life sciences |
Date Deposited: | 09. Jan 2023 09:39 |
Last Modified: | 07. Dec 2023 12:15 |
URI: | https://oa-fund.ub.uni-muenchen.de/id/eprint/246 |
DFG: | Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 491502892 |