Predicting new-onset persistent conduction disturbance following transcatheter aortic valve replacement: the usefulness of FEOPS finite element analysis.


Journal

BMC cardiovascular disorders
ISSN: 1471-2261
Titre abrégé: BMC Cardiovasc Disord
Pays: England
ID NLM: 100968539

Informations de publication

Date de publication:
31 Oct 2024
Historique:
received: 14 08 2024
accepted: 25 10 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 1 11 2024
Statut: epublish

Résumé

Despite the frequency of persistent new-onset conduction disturbances after transcatheter aortic valve replacement (TAVR), few preoperative methods of prediction exist. Patients who underwent TAVR in the Department of Cardiology of the Second Affiliated Hospital of the Army Medical University from December 2020 to September 2021 and postoperative aortic root modeling via the FEOPS finite element analysis were included in this single-center case-control study, divided into persistent conduction disturbances (PCD) and non-PCD groups according to their pre- and postoperative electrocardiograms in the first month. Risk factors affecting PCD were identified by comparing the baseline data of these two groups, including echocardiograms, computed tomography angiography of the aortic root, surgical decision-making, and FEOPS data. Independent risk factors were screened using logistic regression modeling, and the receiver operating characteristic (ROC) curve was used to test the predictive ability. A total of 56 patients were included in this study, 37 with bicuspid aortic valve (BAV) and 19 with trileaflet aortic valve (TAV), with 17 cases of PCD. The contact pressure index (CPI) of FEOPS, valve oversize ratio, differences between membranous interventricular septum length and implantation depth (ΔMSID) and valve implantation depth were statistically different (P < 0.05). CPI could be used as an independent risk factor for PCD (P < 0.05), and the ROC curve comparison showed that the CPI was more predictive (AUC = 0.806, 95% CI: 0.684-0.928, P = 0.001). The CPI of FEOPS has better predictive value for new-onset conduction disturbance after TAVR compared to other known predictors.

Sections du résumé

BACKGROUND BACKGROUND
Despite the frequency of persistent new-onset conduction disturbances after transcatheter aortic valve replacement (TAVR), few preoperative methods of prediction exist.
METHODS METHODS
Patients who underwent TAVR in the Department of Cardiology of the Second Affiliated Hospital of the Army Medical University from December 2020 to September 2021 and postoperative aortic root modeling via the FEOPS finite element analysis were included in this single-center case-control study, divided into persistent conduction disturbances (PCD) and non-PCD groups according to their pre- and postoperative electrocardiograms in the first month. Risk factors affecting PCD were identified by comparing the baseline data of these two groups, including echocardiograms, computed tomography angiography of the aortic root, surgical decision-making, and FEOPS data. Independent risk factors were screened using logistic regression modeling, and the receiver operating characteristic (ROC) curve was used to test the predictive ability.
RESULTS RESULTS
A total of 56 patients were included in this study, 37 with bicuspid aortic valve (BAV) and 19 with trileaflet aortic valve (TAV), with 17 cases of PCD. The contact pressure index (CPI) of FEOPS, valve oversize ratio, differences between membranous interventricular septum length and implantation depth (ΔMSID) and valve implantation depth were statistically different (P < 0.05). CPI could be used as an independent risk factor for PCD (P < 0.05), and the ROC curve comparison showed that the CPI was more predictive (AUC = 0.806, 95% CI: 0.684-0.928, P = 0.001).
CONCLUSIONS CONCLUSIONS
The CPI of FEOPS has better predictive value for new-onset conduction disturbance after TAVR compared to other known predictors.

Identifiants

pubmed: 39482610
doi: 10.1186/s12872-024-04302-2
pii: 10.1186/s12872-024-04302-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

607

Informations de copyright

© 2024. The Author(s).

Références

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Auteurs

Maode Wang (M)

Department of Cardiology, Institute of Cardiovascular Research, The Second Affiliated Hospital of Army Medical University, Chongqing, China.

Yong Wang (Y)

Department of Cardiology, Institute of Cardiovascular Research, The Second Affiliated Hospital of Army Medical University, Chongqing, China.

Nic Debusschere (N)

FEops NV, Ghent, Belgium.

Giorgia Rocatello (G)

FEops NV, Ghent, Belgium.

Sihang Cheng (S)

Venus Medtech (Hangzhou) Inc, Hangzhou, China.

Jun Jin (J)

Department of Cardiology, Institute of Cardiovascular Research, The Second Affiliated Hospital of Army Medical University, Chongqing, China. xqyyjinjun@163.com.

Shiyong Yu (S)

Department of Cardiology, Institute of Cardiovascular Research, The Second Affiliated Hospital of Army Medical University, Chongqing, China. doctoryushiyong@163.com.

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