Simple view
Full metadata view
Authors
Statistics
CineECG analysis provides new insights into Familial ST-segment Depression Syndrome
Familial ST-segment Depression Syndrome
CineECG
electrocardiogram
arrhythmia
electrical activation pathway
ECGsim
Online First 2023-05-04
Aims. Familial ST-segment Depression Syndrome (Fam-STD) is a novel inherited cardiac disease associated with arrhythmias and sudden cardiac death. This study aimed at investigating the cardiac activation pathway in patients with Fam-STD, modelling the electrocardiogram (ECG) phenotype, and performing in-depth ST-segment analyses. Methods and results. CineECG analysis of patients with Fam-STD and age- and sex-matched controls. The groups were compared using the CineECG software which included the trans-cardiac ratio and the electrical activation pathway. We simulated the Fam-STD ECG phenotype by adjusting action potential duration (APD) and action potential amplitude (APA) in specific cardiac regions. High-resolution ST-segment analyses were performed per lead by dividing the ST-segment into nine 10 ms subintervals. Twenty-seven Fam-STD patients (74% females, mean age 51.6 ± 6.2 years) and 83 matched controls were included. Among Fam-STD patients, electrical activation pathway analysis in the anterior-basal orientation showed significantly abnormal direction toward the basal areas of the heart starting from QRS 60–89 ms until Tpeak-Tend (all P < 0.001). Simulations with shortened APD and reduced APA in the left ventricle basal regions recapitulated the Fam-STD ECG phenotype. Detailed ST-segment analyses showed significant differences in all nine 10 ms subintervals (all P < 0.01), with the most prominent findings during the 70–79/80–89 ms intervals. Conclusion. CineECG analyses indicated abnormal repolarization with basal directions, and the Fam-STD ECG phenotype was simulated by reducing APD and APA in the left ventricle basal regions. Detailed ST-analysis showed amplitudes consistent with the proposed diagnostic criteria for Fam-STD patients. Our findings provide new insight into the electrophysiological abnormalities of Fam-STD.
| dc.abstract.en | Aims. Familial ST-segment Depression Syndrome (Fam-STD) is a novel inherited cardiac disease associated with arrhythmias and sudden cardiac death. This study aimed at investigating the cardiac activation pathway in patients with Fam-STD, modelling the electrocardiogram (ECG) phenotype, and performing in-depth ST-segment analyses. Methods and results. CineECG analysis of patients with Fam-STD and age- and sex-matched controls. The groups were compared using the CineECG software which included the trans-cardiac ratio and the electrical activation pathway. We simulated the Fam-STD ECG phenotype by adjusting action potential duration (APD) and action potential amplitude (APA) in specific cardiac regions. High-resolution ST-segment analyses were performed per lead by dividing the ST-segment into nine 10 ms subintervals. Twenty-seven Fam-STD patients (74% females, mean age 51.6 ± 6.2 years) and 83 matched controls were included. Among Fam-STD patients, electrical activation pathway analysis in the anterior-basal orientation showed significantly abnormal direction toward the basal areas of the heart starting from QRS 60–89 ms until Tpeak-Tend (all P < 0.001). Simulations with shortened APD and reduced APA in the left ventricle basal regions recapitulated the Fam-STD ECG phenotype. Detailed ST-segment analyses showed significant differences in all nine 10 ms subintervals (all P < 0.01), with the most prominent findings during the 70–79/80–89 ms intervals. Conclusion. CineECG analyses indicated abnormal repolarization with basal directions, and the Fam-STD ECG phenotype was simulated by reducing APD and APA in the left ventricle basal regions. Detailed ST-analysis showed amplitudes consistent with the proposed diagnostic criteria for Fam-STD patients. Our findings provide new insight into the electrophysiological abnormalities of Fam-STD. | |
| dc.cm.date | 2023-06-01T22:18:34Z | |
| dc.cm.id | 112273 | pl |
| dc.cm.idOmega | UJCM340f207f7e4c48d88e670452433d01dc | pl |
| dc.contributor.author | Frosted, Rasmus | pl |
| dc.contributor.author | Paludan-Müller, Christian | pl |
| dc.contributor.author | Vad, Oliver Bundgaard | pl |
| dc.contributor.author | Olesen, Morten Salling | pl |
| dc.contributor.author | Bundgaard, Henning | pl |
| dc.contributor.author | van Dam, Peter - 479739 | pl |
| dc.contributor.author | Christensen, Alex Horby | pl |
| dc.date.accession | 2023-05-31 | pl |
| dc.date.accessioned | 2023-06-01T22:18:34Z | |
| dc.date.available | 2023-06-01T22:18:34Z | |
| dc.date.issued | 2023 | pl |
| dc.date.openaccess | 0 | |
| dc.description.accesstime | w momencie opublikowania | |
| dc.description.additional | Online First 2023-05-04 | pl |
| dc.description.number | 5 | pl |
| dc.description.version | ostateczna wersja wydawcy | |
| dc.description.volume | 25 | pl |
| dc.identifier.articleid | euad116 | pl |
| dc.identifier.doi | 10.1093/europace/euad116 | pl |
| dc.identifier.eissn | 1532-2092 | pl |
| dc.identifier.issn | 1099-5129 | pl |
| dc.identifier.uri | https://ruj.uj.edu.pl/xmlui/handle/item/311929 | |
| dc.identifier.weblink | https://academic.oup.com/europace/article/doi/10.1093/europace/euad116/7151521 | pl |
| dc.language | eng | pl |
| dc.language.container | eng | pl |
| dc.rights | Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne 4.0 Międzynarodowa | |
| dc.rights.licence | CC-BY | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/legalcode.pl | |
| dc.share.type | Otwarte czasopismo | |
| dc.subject.en | Familial ST-segment Depression Syndrome | |
| dc.subject.en | CineECG | |
| dc.subject.en | electrocardiogram | |
| dc.subject.en | arrhythmia | |
| dc.subject.en | electrical activation pathway | |
| dc.subject.en | ECGsim | |
| dc.subtype | Article | pl |
| dc.title | CineECG analysis provides new insights into Familial ST-segment Depression Syndrome | pl |
| dc.title.journal | Europace | pl |
| dc.type | JournalArticle | pl |
| dspace.entity.type | Publication |
* The migration of download and view statistics prior to the date of April 8, 2024 is in progress.
Views
8
Views per month
Views per city
Downloads
Open Access