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Does Tetralogy of Fallot affect brain aging? A proof-of-concept study

The impact of congenital heart disease on brain aging has not been extensively investigated. We evaluated cerebral microbleeds and white matter hyperintensities on brain magnetic resonance imaging in adult patients with tetralogy of Fallot (ToF). Ten ToF patients (6 women, 4 men; aged 21–58 years; N...

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Autores principales: Codari, Marina, Papini, Giacomo Davide Edoardo, Melazzini, Luca, Pluchinotta, Francesca Romana, Secchi, Francesco, Carminati, Mario, Frigiola, Alessandro, Chessa, Massimo, Sardanelli, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6103512/
https://www.ncbi.nlm.nih.gov/pubmed/30130369
http://dx.doi.org/10.1371/journal.pone.0202496
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author Codari, Marina
Papini, Giacomo Davide Edoardo
Melazzini, Luca
Pluchinotta, Francesca Romana
Secchi, Francesco
Carminati, Mario
Frigiola, Alessandro
Chessa, Massimo
Sardanelli, Francesco
author_facet Codari, Marina
Papini, Giacomo Davide Edoardo
Melazzini, Luca
Pluchinotta, Francesca Romana
Secchi, Francesco
Carminati, Mario
Frigiola, Alessandro
Chessa, Massimo
Sardanelli, Francesco
author_sort Codari, Marina
collection PubMed
description The impact of congenital heart disease on brain aging has not been extensively investigated. We evaluated cerebral microbleeds and white matter hyperintensities on brain magnetic resonance imaging in adult patients with tetralogy of Fallot (ToF). Ten ToF patients (6 women, 4 men; aged 21–58 years; New York Heart Association [NYHA] class 1–2) were prospectively enrolled and underwent a T1-weighted, a T2-weighted dark fluid, and a T2*-weighted scans. Ten age- and sex-matched controls were prospectively recruited and subjected to the same acquisition protocol. Cerebral microbleeds (CMBs) were manually counted while white matter hyperintensities (WMHs) were segmented using ITK-Snap. Wilcoxon signed-rank test, Spearman correlation, and Bland-Altman statistics were used. The median (interquartile range [IQR]) age was 45.0 (30.5–49.5) years in ToF patients and 46.0 (30.5–49.8) years in controls. The median (IQR) of the number of CMBs was 6.0 (4.0–7.8) in ToF patients and 0 (0.0–0.0) in controls (p = 0.002). The WMHs burden was 2,506 (1,557–2,900) mm(3) for ToF patients and 2,212 (1,860–2,586) mm(3) for controls (p = 0.160). Moreover, a positive significant correlation was found between the WMHs burden and the NYHA class (ρ = 0.80, p = 0.005). Inter-operator concordance rate for the presence/absence of CMBs was 90%; the reproducibility for the WMHs burden was 77%. In conclusion, we found more cerebral microbleeds and a higher WMHs burden in adult ToF patients than in controls. This preliminary comparison supports the hypothesis of an early brain aging in ToF patients. Larger studies are warranted.
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spelling pubmed-61035122018-09-15 Does Tetralogy of Fallot affect brain aging? A proof-of-concept study Codari, Marina Papini, Giacomo Davide Edoardo Melazzini, Luca Pluchinotta, Francesca Romana Secchi, Francesco Carminati, Mario Frigiola, Alessandro Chessa, Massimo Sardanelli, Francesco PLoS One Research Article The impact of congenital heart disease on brain aging has not been extensively investigated. We evaluated cerebral microbleeds and white matter hyperintensities on brain magnetic resonance imaging in adult patients with tetralogy of Fallot (ToF). Ten ToF patients (6 women, 4 men; aged 21–58 years; New York Heart Association [NYHA] class 1–2) were prospectively enrolled and underwent a T1-weighted, a T2-weighted dark fluid, and a T2*-weighted scans. Ten age- and sex-matched controls were prospectively recruited and subjected to the same acquisition protocol. Cerebral microbleeds (CMBs) were manually counted while white matter hyperintensities (WMHs) were segmented using ITK-Snap. Wilcoxon signed-rank test, Spearman correlation, and Bland-Altman statistics were used. The median (interquartile range [IQR]) age was 45.0 (30.5–49.5) years in ToF patients and 46.0 (30.5–49.8) years in controls. The median (IQR) of the number of CMBs was 6.0 (4.0–7.8) in ToF patients and 0 (0.0–0.0) in controls (p = 0.002). The WMHs burden was 2,506 (1,557–2,900) mm(3) for ToF patients and 2,212 (1,860–2,586) mm(3) for controls (p = 0.160). Moreover, a positive significant correlation was found between the WMHs burden and the NYHA class (ρ = 0.80, p = 0.005). Inter-operator concordance rate for the presence/absence of CMBs was 90%; the reproducibility for the WMHs burden was 77%. In conclusion, we found more cerebral microbleeds and a higher WMHs burden in adult ToF patients than in controls. This preliminary comparison supports the hypothesis of an early brain aging in ToF patients. Larger studies are warranted. Public Library of Science 2018-08-21 /pmc/articles/PMC6103512/ /pubmed/30130369 http://dx.doi.org/10.1371/journal.pone.0202496 Text en © 2018 Codari et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Codari, Marina
Papini, Giacomo Davide Edoardo
Melazzini, Luca
Pluchinotta, Francesca Romana
Secchi, Francesco
Carminati, Mario
Frigiola, Alessandro
Chessa, Massimo
Sardanelli, Francesco
Does Tetralogy of Fallot affect brain aging? A proof-of-concept study
title Does Tetralogy of Fallot affect brain aging? A proof-of-concept study
title_full Does Tetralogy of Fallot affect brain aging? A proof-of-concept study
title_fullStr Does Tetralogy of Fallot affect brain aging? A proof-of-concept study
title_full_unstemmed Does Tetralogy of Fallot affect brain aging? A proof-of-concept study
title_short Does Tetralogy of Fallot affect brain aging? A proof-of-concept study
title_sort does tetralogy of fallot affect brain aging? a proof-of-concept study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6103512/
https://www.ncbi.nlm.nih.gov/pubmed/30130369
http://dx.doi.org/10.1371/journal.pone.0202496
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