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Deep Phenotypic Analysis for Transposition of the Great Arteries and Prognosis Implication
BACKGROUND: Transposition of the great arteries (TGA) consists of about 3% of all congenital heart diseases and 20% of cyanotic congenital heart diseases. It is always accompanied by a series of other cardiac malformations that affect the surgical intervention strategy as well as prognosis. In this...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238490/ https://www.ncbi.nlm.nih.gov/pubmed/35001652 http://dx.doi.org/10.1161/JAHA.121.023181 |
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author | Shen, Huayan He, Qiyu Shao, Xinyang Li, Shoujun Zhou, Zhou |
author_facet | Shen, Huayan He, Qiyu Shao, Xinyang Li, Shoujun Zhou, Zhou |
author_sort | Shen, Huayan |
collection | PubMed |
description | BACKGROUND: Transposition of the great arteries (TGA) consists of about 3% of all congenital heart diseases and 20% of cyanotic congenital heart diseases. It is always accompanied by a series of other cardiac malformations that affect the surgical intervention strategy as well as prognosis. In this study, we comprehensively analyzed the phenotypes of the patients who had TGA with concordant atrioventricular and discordant ventriculoarterial connections and explored their association with prognosis. METHODS AND RESULTS: We retrospectively reviewed 666 patients with a diagnosis of TGA with concordant atrioventricular and discordant ventriculoarterial connections in Fuwai Hospital from 1997 to 2019. Under the guidance of the Human Phenotype Ontology database, patients were classified into 3 clusters. The Kaplan‐Meier method was used to analyze the prognosis, and the Cox proportional regression model was used to investigate the risk factors. In this 666‐patient TGA cohort, the overall 5‐year survival rate was 94.70% (92.95%–96.49%). Three clusters with distinct phenotypes were obtained by the Human Phenotype Ontology database. Kaplan‐Meier analysis revealed a significant difference in freedom from reintervention among 3 clusters (P<0.001). To eliminate the effect of surgeries, we analyzed patients who only received an arterial switch operation and still found a significant difference in reintervention (P=0.019). CONCLUSIONS: We delineated a big cardiovascular phenotypic profile of an unprecedentedly large TGA cohort and successfully risk stratified them to reveal prognostic significance. Also, we reported the outcomes of a large TGA population in China. |
format | Online Article Text |
id | pubmed-9238490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92384902022-06-30 Deep Phenotypic Analysis for Transposition of the Great Arteries and Prognosis Implication Shen, Huayan He, Qiyu Shao, Xinyang Li, Shoujun Zhou, Zhou J Am Heart Assoc Original Research BACKGROUND: Transposition of the great arteries (TGA) consists of about 3% of all congenital heart diseases and 20% of cyanotic congenital heart diseases. It is always accompanied by a series of other cardiac malformations that affect the surgical intervention strategy as well as prognosis. In this study, we comprehensively analyzed the phenotypes of the patients who had TGA with concordant atrioventricular and discordant ventriculoarterial connections and explored their association with prognosis. METHODS AND RESULTS: We retrospectively reviewed 666 patients with a diagnosis of TGA with concordant atrioventricular and discordant ventriculoarterial connections in Fuwai Hospital from 1997 to 2019. Under the guidance of the Human Phenotype Ontology database, patients were classified into 3 clusters. The Kaplan‐Meier method was used to analyze the prognosis, and the Cox proportional regression model was used to investigate the risk factors. In this 666‐patient TGA cohort, the overall 5‐year survival rate was 94.70% (92.95%–96.49%). Three clusters with distinct phenotypes were obtained by the Human Phenotype Ontology database. Kaplan‐Meier analysis revealed a significant difference in freedom from reintervention among 3 clusters (P<0.001). To eliminate the effect of surgeries, we analyzed patients who only received an arterial switch operation and still found a significant difference in reintervention (P=0.019). CONCLUSIONS: We delineated a big cardiovascular phenotypic profile of an unprecedentedly large TGA cohort and successfully risk stratified them to reveal prognostic significance. Also, we reported the outcomes of a large TGA population in China. John Wiley and Sons Inc. 2022-01-08 /pmc/articles/PMC9238490/ /pubmed/35001652 http://dx.doi.org/10.1161/JAHA.121.023181 Text en © 2022 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Research Shen, Huayan He, Qiyu Shao, Xinyang Li, Shoujun Zhou, Zhou Deep Phenotypic Analysis for Transposition of the Great Arteries and Prognosis Implication |
title | Deep Phenotypic Analysis for Transposition of the Great Arteries and Prognosis Implication |
title_full | Deep Phenotypic Analysis for Transposition of the Great Arteries and Prognosis Implication |
title_fullStr | Deep Phenotypic Analysis for Transposition of the Great Arteries and Prognosis Implication |
title_full_unstemmed | Deep Phenotypic Analysis for Transposition of the Great Arteries and Prognosis Implication |
title_short | Deep Phenotypic Analysis for Transposition of the Great Arteries and Prognosis Implication |
title_sort | deep phenotypic analysis for transposition of the great arteries and prognosis implication |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238490/ https://www.ncbi.nlm.nih.gov/pubmed/35001652 http://dx.doi.org/10.1161/JAHA.121.023181 |
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