Cargando…
Identification of high-risk patients for development of type B aortic dissection based on novel morphological parameters
Background: Predicting the development of sporadic type B aortic dissection (TBAD) always remains a difficult issue. This study aimed to identify high-risk patients for development of TBAD based on morphological parameters. Methods: This propensity-score-matched case-control study collected and reco...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932022/ https://www.ncbi.nlm.nih.gov/pubmed/36818449 http://dx.doi.org/10.3389/fphys.2023.1065805 |
_version_ | 1784889356838764544 |
---|---|
author | Li, Da Wang, Jiarong Zhao, Jichun Wang, Tiehao Zeng, Xiangguo Zheng, Tinghui Yuan, Ding |
author_facet | Li, Da Wang, Jiarong Zhao, Jichun Wang, Tiehao Zeng, Xiangguo Zheng, Tinghui Yuan, Ding |
author_sort | Li, Da |
collection | PubMed |
description | Background: Predicting the development of sporadic type B aortic dissection (TBAD) always remains a difficult issue. This study aimed to identify high-risk patients for development of TBAD based on morphological parameters. Methods: This propensity-score-matched case-control study collected and reconstructed the computed tomography angiography of acute TBAD patients and hospital-based control participants without aortic dissection from January 2013 to December 2016. Multivariate regression analysis was used to calculate the adjusted odds ratio (aOR) and 95% confidence interval (CI). Discriminant and reclassification abilities were compared between our model and a previously established model. Results: Our study included 76 acute TBAD patients and 79 control patients (48 cases and 48 controls after propensity-score matching). The degree of question mark (aOR 1.07, 95% CI 1.04–1.11), brachiocephalic trunk diameter (aOR 1.49, 95% CI 1.20–1.85), brachiocephalic trunk angle (aOR 0.97, 95% CI 0.94–0.99), aortic root diameter (aOR 1.31, 95% CI 1.15–1.48), and aortic width (aOR 1.12, 95% CI 1.07–1.17) were associated with a significantly increased risk of TBAD formation. Similar findings were observed in the propensity-score matching and sensitivity analysis only including hyperacute TBAD patients. A novel prediction model was established based on the aforementioned parameters. The new model showed significantly improved discriminant ability compared with the previously established model (c-index 0.78 [95% CI 0.71–0.85] vs. 0.67 [95% CI 0.58–0.75], p = .03), driven by increased reclassification ability in identifying TBAD patients (NRI for events 0.16, 95% CI 0.02–0.30, p = .02). Conclusion: Morphological predictors, including the degree of question mark, aortic width, aortic root diameter, brachiocephalic trunk angle, and brachiocephalic trunk diameter, may be used to identify patients at high risk of TBAD. |
format | Online Article Text |
id | pubmed-9932022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99320222023-02-17 Identification of high-risk patients for development of type B aortic dissection based on novel morphological parameters Li, Da Wang, Jiarong Zhao, Jichun Wang, Tiehao Zeng, Xiangguo Zheng, Tinghui Yuan, Ding Front Physiol Physiology Background: Predicting the development of sporadic type B aortic dissection (TBAD) always remains a difficult issue. This study aimed to identify high-risk patients for development of TBAD based on morphological parameters. Methods: This propensity-score-matched case-control study collected and reconstructed the computed tomography angiography of acute TBAD patients and hospital-based control participants without aortic dissection from January 2013 to December 2016. Multivariate regression analysis was used to calculate the adjusted odds ratio (aOR) and 95% confidence interval (CI). Discriminant and reclassification abilities were compared between our model and a previously established model. Results: Our study included 76 acute TBAD patients and 79 control patients (48 cases and 48 controls after propensity-score matching). The degree of question mark (aOR 1.07, 95% CI 1.04–1.11), brachiocephalic trunk diameter (aOR 1.49, 95% CI 1.20–1.85), brachiocephalic trunk angle (aOR 0.97, 95% CI 0.94–0.99), aortic root diameter (aOR 1.31, 95% CI 1.15–1.48), and aortic width (aOR 1.12, 95% CI 1.07–1.17) were associated with a significantly increased risk of TBAD formation. Similar findings were observed in the propensity-score matching and sensitivity analysis only including hyperacute TBAD patients. A novel prediction model was established based on the aforementioned parameters. The new model showed significantly improved discriminant ability compared with the previously established model (c-index 0.78 [95% CI 0.71–0.85] vs. 0.67 [95% CI 0.58–0.75], p = .03), driven by increased reclassification ability in identifying TBAD patients (NRI for events 0.16, 95% CI 0.02–0.30, p = .02). Conclusion: Morphological predictors, including the degree of question mark, aortic width, aortic root diameter, brachiocephalic trunk angle, and brachiocephalic trunk diameter, may be used to identify patients at high risk of TBAD. Frontiers Media S.A. 2023-02-02 /pmc/articles/PMC9932022/ /pubmed/36818449 http://dx.doi.org/10.3389/fphys.2023.1065805 Text en Copyright © 2023 Li, Wang, Zhao, Wang, Zeng, Zheng and Yuan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Li, Da Wang, Jiarong Zhao, Jichun Wang, Tiehao Zeng, Xiangguo Zheng, Tinghui Yuan, Ding Identification of high-risk patients for development of type B aortic dissection based on novel morphological parameters |
title | Identification of high-risk patients for development of type B aortic dissection based on novel morphological parameters |
title_full | Identification of high-risk patients for development of type B aortic dissection based on novel morphological parameters |
title_fullStr | Identification of high-risk patients for development of type B aortic dissection based on novel morphological parameters |
title_full_unstemmed | Identification of high-risk patients for development of type B aortic dissection based on novel morphological parameters |
title_short | Identification of high-risk patients for development of type B aortic dissection based on novel morphological parameters |
title_sort | identification of high-risk patients for development of type b aortic dissection based on novel morphological parameters |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932022/ https://www.ncbi.nlm.nih.gov/pubmed/36818449 http://dx.doi.org/10.3389/fphys.2023.1065805 |
work_keys_str_mv | AT lida identificationofhighriskpatientsfordevelopmentoftypebaorticdissectionbasedonnovelmorphologicalparameters AT wangjiarong identificationofhighriskpatientsfordevelopmentoftypebaorticdissectionbasedonnovelmorphologicalparameters AT zhaojichun identificationofhighriskpatientsfordevelopmentoftypebaorticdissectionbasedonnovelmorphologicalparameters AT wangtiehao identificationofhighriskpatientsfordevelopmentoftypebaorticdissectionbasedonnovelmorphologicalparameters AT zengxiangguo identificationofhighriskpatientsfordevelopmentoftypebaorticdissectionbasedonnovelmorphologicalparameters AT zhengtinghui identificationofhighriskpatientsfordevelopmentoftypebaorticdissectionbasedonnovelmorphologicalparameters AT yuanding identificationofhighriskpatientsfordevelopmentoftypebaorticdissectionbasedonnovelmorphologicalparameters |