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Patterns of genetic mutations explored by systematic screening of patients with aortopathy and their family members

OBJECTIVE: Genetic aortopathy, if left untreated, leads to aortic catastrophe in most affected individuals. We sought to determine the genetic mutation patterns and detection rates in patients with aortopathy and their families with a systematic screening protocol. METHODS: In 2016 to 2020, patients...

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Autores principales: Kim, Jihoon, Yoo, Jae Suk, Kim, Hee-Jung, Kim, Ho Jin, Kim, Dae-Hee, Choo, Suk Jung, Kim, Joon Bum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556810/
https://www.ncbi.nlm.nih.gov/pubmed/37808051
http://dx.doi.org/10.1016/j.xjon.2023.06.006
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author Kim, Jihoon
Yoo, Jae Suk
Kim, Hee-Jung
Kim, Ho Jin
Kim, Dae-Hee
Choo, Suk Jung
Kim, Joon Bum
author_facet Kim, Jihoon
Yoo, Jae Suk
Kim, Hee-Jung
Kim, Ho Jin
Kim, Dae-Hee
Choo, Suk Jung
Kim, Joon Bum
author_sort Kim, Jihoon
collection PubMed
description OBJECTIVE: Genetic aortopathy, if left untreated, leads to aortic catastrophe in most affected individuals. We sought to determine the genetic mutation patterns and detection rates in patients with aortopathy and their families with a systematic screening protocol. METHODS: In 2016 to 2020, patients with aortic dissection or root aneurysm (Z score ≥2) and their first-degree relatives were enrolled in a prospective registry at a tertiary referral center. The individuals underwent systematic single- or multi-gene panel testing depending on clinical presentations. RESULTS: Among 575 enrolled individuals (mean age, 46.6 ± 14.5 years; 203 women), 346 (60.2%) underwent genetic testing. Rates of relevant gene mutations identified were 39.4% (91/231), 27.1% (54/199) and 72.4% (n = 105) in aneurysm, dissection, and family screening groups, respectively (P < .001). Mutated genes frequently identified were FBN1 (n = 199; Marfan), TGFBR1/2 or SMAD3 (n = 14; Loeys-Dietz), COL3A1/COL5A2 (n = 15; Ehlers-Danlos), and ACTA2 (n = 10). After enrollment, 123 aortic surgeries were performed in 117 patients (20.3%) including 15 family members, with resultant operative mortality of 0.8% (n = 1). In logistic regression analysis, systemic score in Ghent nosology was the only significant factor associated with positive gene mutation (odds ratio, 14.81; 95% confidence interval, 6.87-31.96), and its 3.5 point cutoff showed the best predictive value with 78.2% sensitivity and 87.2% specificity. CONCLUSIONS: Genetic aortopathy was identified in a considerable proportion of patients with aortopathy and their family members by systematic genetic testing. This strategy is recommended for timely diagnosis and proactive management of genetic aortopathy.
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spelling pubmed-105568102023-10-07 Patterns of genetic mutations explored by systematic screening of patients with aortopathy and their family members Kim, Jihoon Yoo, Jae Suk Kim, Hee-Jung Kim, Ho Jin Kim, Dae-Hee Choo, Suk Jung Kim, Joon Bum JTCVS Open Adult: Aorta OBJECTIVE: Genetic aortopathy, if left untreated, leads to aortic catastrophe in most affected individuals. We sought to determine the genetic mutation patterns and detection rates in patients with aortopathy and their families with a systematic screening protocol. METHODS: In 2016 to 2020, patients with aortic dissection or root aneurysm (Z score ≥2) and their first-degree relatives were enrolled in a prospective registry at a tertiary referral center. The individuals underwent systematic single- or multi-gene panel testing depending on clinical presentations. RESULTS: Among 575 enrolled individuals (mean age, 46.6 ± 14.5 years; 203 women), 346 (60.2%) underwent genetic testing. Rates of relevant gene mutations identified were 39.4% (91/231), 27.1% (54/199) and 72.4% (n = 105) in aneurysm, dissection, and family screening groups, respectively (P < .001). Mutated genes frequently identified were FBN1 (n = 199; Marfan), TGFBR1/2 or SMAD3 (n = 14; Loeys-Dietz), COL3A1/COL5A2 (n = 15; Ehlers-Danlos), and ACTA2 (n = 10). After enrollment, 123 aortic surgeries were performed in 117 patients (20.3%) including 15 family members, with resultant operative mortality of 0.8% (n = 1). In logistic regression analysis, systemic score in Ghent nosology was the only significant factor associated with positive gene mutation (odds ratio, 14.81; 95% confidence interval, 6.87-31.96), and its 3.5 point cutoff showed the best predictive value with 78.2% sensitivity and 87.2% specificity. CONCLUSIONS: Genetic aortopathy was identified in a considerable proportion of patients with aortopathy and their family members by systematic genetic testing. This strategy is recommended for timely diagnosis and proactive management of genetic aortopathy. Elsevier 2023-06-20 /pmc/articles/PMC10556810/ /pubmed/37808051 http://dx.doi.org/10.1016/j.xjon.2023.06.006 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Adult: Aorta
Kim, Jihoon
Yoo, Jae Suk
Kim, Hee-Jung
Kim, Ho Jin
Kim, Dae-Hee
Choo, Suk Jung
Kim, Joon Bum
Patterns of genetic mutations explored by systematic screening of patients with aortopathy and their family members
title Patterns of genetic mutations explored by systematic screening of patients with aortopathy and their family members
title_full Patterns of genetic mutations explored by systematic screening of patients with aortopathy and their family members
title_fullStr Patterns of genetic mutations explored by systematic screening of patients with aortopathy and their family members
title_full_unstemmed Patterns of genetic mutations explored by systematic screening of patients with aortopathy and their family members
title_short Patterns of genetic mutations explored by systematic screening of patients with aortopathy and their family members
title_sort patterns of genetic mutations explored by systematic screening of patients with aortopathy and their family members
topic Adult: Aorta
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556810/
https://www.ncbi.nlm.nih.gov/pubmed/37808051
http://dx.doi.org/10.1016/j.xjon.2023.06.006
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