Classification of Left Atrial Diseased Tissue Burden Determined by Automated Voltage Analysis Predicts Outcomes after Ablation for Atrial Fibrillation

https://m2.mtmt.hu/ hun 2026-10-24 13:52 JournalArticle 32111728 VALIDATED true Gabor Szeplaki and Joseph Galvin contributed equally as the last authors of the manuscript 0 false 2026-10-21T13:34:34.393+0000 2022-04-20T06:18:00.571+0000 2021-07-24T12:33:52.235+0000 true 10062250 Molnár-Taga Márta /api/admin/10062250 Admin Molnár-Taga Márta (SE 4-es admin) true 10062250 2024-10-08T07:38:13.174+0000 2024-10-08T07:38:13.174+0000 2022-04-20T06:18:00.807+0000 true 10062062 Gere Tamásné /api/admin/10062062 Admin Gere Tamásné (SE_KK_Admin5_GT, admin) true 10062062 true false true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Szakcikk (Folyóiratcikk) 101 true 10000059 true 1 /api/category/1 Category Tudományos true 1 Herczeg, S. Classification of Left Atrial Diseased Tissue Burden Determined by Automated Voltage Analysis Predicts Outcomes after Ablation for Atrial Fibrillation true true /api/journal/1324 REVIEWED DISEASE MARKERS 0278-0240 1875-8630 true false 1324 false 1324 true 0278-0240 1875-8630 Journal FOREIGN 2021 5511267 5511267 8 2021 Background. The burden and persistence of atrial fibrillation (AF) have been associated with the presence and extent of left atrial (LA) fibrosis. Recent reports have implicated an association between the extent of LA fibrosis and the outcome of pulmonary vein isolation (PVI). We aimed to analyse the value of an automated scar quantification method in the prediction of success following PVI. Methods. One hundred and nine consecutive patients undergoing PVI for paroxysmal or persistent AF were included in our observational study with a 2-year follow-up. Prior to PVI, patients underwent high-definition LA electroanatomical mapping, and scar burden was quantified by automated software (Voltage Histogram Analysis, CARTO 3, Biosense Webster), then classified into 4 subgroups (Dublin Classes I-IV). Recurrence rates were analysed on and off antiarrhythmic drug therapy (AAD), respectively. Results. The overall success rate was 74% and 67% off AAD at 1- and 2-year follow-up, respectively. Patients with Dublin Class IV had significantly lower success rates (p=0.008, off AAD). Dublin Class IV (OR=2.27, p=0.022, off AAD) and the presence of arrhythmia in the blanking period (OR=3.28, p=0.001, off AAD) were the only significant predictors of recurrence. The use of AAD did not affect these results. Conclusions. We propose a classification of low voltage areas based on automated quantification by software during 3D mapping prior to PVI. Patients with high burden of low voltage areas (>31% of <0.5 mV, Dublin Class IV) have a higher risk of recurrence following PVI. Information gathered during electroanatomical mapping may have important prognostic value. © 2021 Szilvia Herczeg et al. true true 2021 true true true false true false GOLD 2026-10-21 true https://doi.org/10.1155/2021/5511267 4 0 4 3 1 4 4 4 4 4 4 3 3 3 1 0 4 3 4 3 0 1 1 Folyóiratcikk Journal Article 24 4 Könyvrészlet Chapter in Book 25 0 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2024 0 1 0 1 0 2025 0 0 0 0 0 2026 0 3 3 3 3 Q2 false false false false 2021-07-23T12:39:20.333+0000 Kardiológia Központ - Kardiológiai Tanszék (SE / AOK / K) 2 17 1 8 0 true Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 96878503 /api/authorship/96878503 Herczeg, S. [Herczeg, Szilvia (kardiológia, elek...), szerző] Kardiológia Központ - Kardiológiai Tanszék (SE / AOK / K) 1 0.125 true false false Author 10063814 /api/author/10063814 Herczeg Szilvia (kardiológia, elektrofiziológia) Herczeg Szilvia true 10063814 true Herczeg S. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 96878504 /api/authorship/96878504 Keaney, J.J. 2 0.125 false false false Keaney J.J. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 96878505 /api/authorship/96878505 Keelan, E. 3 0.125 false false false Keelan E. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 96878506 /api/authorship/96878506 Howard, C. 4 0.125 false false false Howard C. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 96878507 /api/authorship/96878507 Walsh, K. 5 0.125 false false false Walsh K. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 96878508 /api/authorship/96878508 Geller, L. [Gellér, László Alajos (Kardiológia, Elek...), szerző] Kardiológia Központ - Kardiológiai Tanszék (SE / AOK / K) 6 0.125 false false false Author 10013950 /api/author/10013950 Gellér László Alajos (Kardiológia, Elektrofiziológia) Gellér László Alajos true 10013950 true Geller L. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 96878509 /api/authorship/96878509 Szeplaki, G.** ✉ 7 0.125 false true true Szeplaki G. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 96878510 /api/authorship/96878510 Galvin, J. 8 0.125 false true false Galvin J. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 19038044 /api/publicationidentifier/19038044 DOI: 10.1155/2021/5511267 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true GOLD true IDENTICAL 10.1155/2021/5511267 https://doi.org/10.1155/2021/5511267 false true PublicationIdentifier 19038045 /api/publicationidentifier/19038045 WoS: 000671868300001 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 000671868300001 https://www.webofscience.com/wos/woscc/full-record/000671868300001 false true PublicationIdentifier 19038043 /api/publicationidentifier/19038043 Scopus: 85109341660 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85109341660 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85109341660 false true PublicationIdentifier 19038047 /api/publicationidentifier/19038047 PubMed: 34257744 PlainSource 17 /api/publicationsource/17 PubMed PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true PubMed PubMed http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=@@@&dopt=Abstract true true 17 true IDENTICAL 34257744 http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=34257744&dopt=Abstract false true SjrRating 11227841 /api/sjrrating/11227841 sjr:Q2 (2021) Scopus - Biochemistry (medical) DISEASE MARKERS 0278-0240 1875-8630 27 0.49 journal RatingType 10002 /api/ratingtype/10002 sjr sjr true true ClassificationExternal 2704 /api/classificationexternal/2704 Scopus - Biochemistry (medical) true 2704 true Q2 DIRECT true true Reference 21891561 /api/reference/21891561 1. 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Classification of Left Atrial Diseased Tissue Burden Determined by Automated Voltage Analysis Predicts Outcomes after Ablation for Atrial Fibrillation. (2021) DISEASE MARKERS 0278-0240 1875-8630 2021<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10063814"><a href="/gui2/?type=authors&mode=browse&sel=10063814" target="_blank">Herczeg S. (<span class="authorship-author-name">Herczeg Szilvia</span> <span class="authorAux-mtmt"> kardiológia, elektrofiziológia</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/<span title="Városmajori Szív- és Érgyógyászati Klinika">VAROSMAJOR_SZÍVÉRGYÓGY</span>/Kardiológia Központ - Kardiológiai Tanszék</span> ;    <span class="author-name" >Keaney J.J. </span> ;    <span class="author-name" >Keelan E. </span> ;    <span class="author-name" >Howard C. </span> ;    <span class="author-name" >Walsh K. </span> ;    <span class="author-name" mtid="10013950"><a href="/gui2/?type=authors&mode=browse&sel=10013950" target="_blank">Geller L. (<span class="authorship-author-name">Gellér László Alajos</span> <span class="authorAux-mtmt"> Kardiológia, Elektrofiziológia</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/<span title="Városmajori Szív- és Érgyógyászati Klinika">VAROSMAJOR_SZÍVÉRGYÓGY</span>/Kardiológia Központ - Kardiológiai Tanszék</span> ;    <span class="author-name" >Szeplaki G.<sup>**</sup> ✉ </span> ;    <span class="author-name" >Galvin J. </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;32111728" target="_blank">Classification of Left Atrial Diseased Tissue Burden Determined by Automated Voltage Analysis Predicts Outcomes after Ablation for Atrial Fibrillation</a></div> <div> <span class="journal-title">DISEASE MARKERS</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0278-0240">0278-0240</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1875-8630">1875-8630</a>)</span>: <span class="journal-volume">2021</span> <span class="page"> Paper 5511267. 8 p. </span> <span class="year">(2021)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.1155/2021/5511267" target="_blank" href="https://doi.org/10.1155/2021/5511267"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000671868300001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000671868300001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85109341660" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85109341660"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="34257744" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=34257744&dopt=Abstract"> PubMed </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Biochemistry (medical)   SJR indikátor: Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Clinical Biochemistry   SJR indikátor: Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Medicine (miscellaneous)   SJR indikátor: Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Genetics   SJR indikátor: Q3</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Molecular Biology   SJR indikátor: Q3</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 4</span> | Független: 3 | Függő: 1 | Nem jelölt: 0 | WoS jelölt: 4 | Scopus jelölt: 4 | WoS/Scopus jelölt: 4 | DOI jelölt: 4 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;32111728&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 32111728</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2022.04.20. 08:18 Gere Tamásné (SE_KK_Admin5_GT, admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Gabor Szeplaki and Joseph Galvin contributed equally as the last authors of the manuscript</pre> </div></div>