Evidence map›Paper›PMID 39482610›Full record

ArticleBMC cardiovascular disorders2024

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

Maode Wang, Yong Wang, Nic Debusschere, Giorgia Rocatello, Sihang Cheng, Jun Jin, Shiyong Yu

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Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
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3citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Maode Wang *Department of Cardiology, Institute of Cardiovascular Research, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Yong Wang *Department of Cardiology, Institute of Cardiovascular Research, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Nic DebusschereFEops NV, Ghent, Belgium.
Giorgia RocatelloFEops NV, Ghent, Belgium.
Sihang ChengVenus Medtech (Hangzhou) Inc, Hangzhou, China.
Jun JinDepartment of Cardiology, Institute of Cardiovascular Research, The Second Affiliated Hospital of Army Medical University, Chongqing, China. xqyyjinjun@163.com.
Shiyong YuDepartment of Cardiology, Institute of Cardiovascular Research, The Second Affiliated Hospital of Army Medical University, Chongqing, China. doctoryushiyong@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the frequency of persistent new-onset conduction disturbances after transcatheter aortic valve replacement (TAVR), few preoperative methods of prediction exist.

methodsPatients 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.

resultsA 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).

conclusionsThe CPI of FEOPS has better predictive value for new-onset conduction disturbance after TAVR compared to other known predictors.

Indexed as

Aortic ValveAortic Valve StenosisFinite Element AnalysisPredictive Value of TestsTranscatheter Aortic Valve ReplacementAction PotentialsAgedAged, 80 and overArrhythmias, CardiacElectrocardiographyFemaleHeart Conduction SystemHeart RateHeart Valve ProsthesisHumansMaleConduction disturbanceFEOPSTAVITAVRTranscatheter aortic valve implantationTranscatheter aortic valve replacement

Identifiers

PMID39482610
PMCPMC11529259

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.