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http://hdl.handle.net/1942/41458
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DC Field | Value | Language |
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dc.contributor.author | GRUWEZ, Henri | - |
dc.contributor.author | BARTHELS, Myrte | - |
dc.contributor.author | Haemers , Peter | - |
dc.contributor.author | VERBRUGGE, Frederik | - |
dc.contributor.author | DHONT, Sebastiaan | - |
dc.contributor.author | MEEKERS, Evelyne | - |
dc.contributor.author | WOUTERS, Femke | - |
dc.contributor.author | NUYENS, Dieter | - |
dc.contributor.author | PISON, Laurent | - |
dc.contributor.author | VANDERVOORT, Pieter | - |
dc.contributor.author | PIERLET, Noella | - |
dc.date.accessioned | 2023-10-02T09:16:52Z | - |
dc.date.available | 2023-10-02T09:16:52Z | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-10-02T07:23:49Z | - |
dc.identifier.citation | JACC-Clinical Electrophysiology, 9 (8) , p. 1771 -1782 | - |
dc.identifier.uri | http://hdl.handle.net/1942/41458 | - |
dc.description.abstract | BACKGROUND Atrial fibrillation (AF) may occur asymptomatically and can be diagnosed only with electrocardiography (ECG) while the arrhythmia is present.OBJECTIVES The aim of this study was to independently validate the approach of using artificial intelligence (AI) to identify underlying paroxysmal AF from a 12-lead ECG in sinus rhythm (SR).METHODS An AI algorithm was trained to identify patients with underlying paroxysmal AF, using electrocardiographic data from all in-and outpatients from a single center with at least 1 ECG in SR. For patients without AF, all ECGs in SR were included. For patients with AF, all ECGs in SR starting 31 days before the first AF event were included. The patients were randomly allocated to training, internal validation, and testing datasets in a 7:1:2 ratio. In a secondary analysis, the AF prevalence of the testing group was modified. Additionally, the performance of the algorithm was validated at an external hospital.RESULTS The dataset consisted of 494,042 ECGs in SR from 142,310 patients. Testing the model on the first ECG of each patient (AF prevalence 9.0%) resulted in accuracy of 78.1% (95% CI: 77.6%-78.5%), area under the receiver operating characteristic curve of 0.87 (95% CI: 0.86-0.87), and area under the precision recall curve (AUPRC) of 0.48 (95% CI: 0.46-0.50). In a low-risk group (AF prevalence 3%), the AUPRC decreased to 0.21 (95% CI: 0.18-0.24). In a high-risk group (AF prevalence 30%), the AUPRC increased to 0.76 (95% CI: 0.75-0.78). This performance was robust when validated in an external hospital.CONCLUSIONS The approach of using an AI-enabled electrocardiographic algorithm for the identification of patients with underlying paroxysmal AF from ECGs in SR was independently validated. (J Am Coll Cardiol EP 2023;9:1771-1782)& COPY; 2023 by the American College of Cardiology Foundation. | - |
dc.description.sponsorship | Dr Gruwez is supported as predoctoral strategic basic research fellow by the Fund for Scientific Research Flanders (FWO 1S83221N). All other authors have reported that they have no relationships relevant to the contents of this paper to disclose. | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.rights | 2023 BY THE AMERICAN COLLEGE OF CARDIOLOGY FOUNDATION PUBLISHED BY ELSEVIER | - |
dc.subject.other | artificial intelligence | - |
dc.subject.other | atrial fibrillation | - |
dc.subject.other | deep neural network | - |
dc.subject.other | digital health | - |
dc.subject.other | electrocardiogram | - |
dc.title | Detecting Paroxysmal Atrial Fibrillation From an Electrocardiogram in Sinus Rhythm External Validation of the AI Approach | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 1782 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | 1771 | - |
dc.identifier.volume | 9 | - |
local.format.pages | 12 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Pierlet, N (corresponding author), Ziekenhuis Oost-Limburg, Schiepse Bos 6, B-3600 Genk, Belgium. | - |
dc.description.notes | noella.pierlet@zol.be | - |
local.publisher.place | RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1016/j.jacep.2023.04.008 | - |
dc.identifier.pmid | 37354171 | - |
dc.identifier.isi | 001068279100001 | - |
dc.contributor.orcid | Gruwez, Henri/0000-0002-9169-265X | - |
local.provider.type | wosris | - |
local.description.affiliation | [Gruwez, Henri; Dhont, Sebastiaan; Meekers, Evelyne; Nuyens, Dieter; Pison, Laurent; Vandervoort, Pieter] Hosp East Limburg, Dept Cardiol, Genk, Belgium. | - |
local.description.affiliation | [Gruwez, Henri; Haemers, Peter; Meekers, Evelyne] Univ Leuven, Dept Cardiovasc Sci, Leuven, Belgium. | - |
local.description.affiliation | [Gruwez, Henri; Dhont, Sebastiaan; Meekers, Evelyne; Pierlet, Noella] Hasselt Univ, Doctoral Sch Med & Life Sci, Hasselt, Belgium. | - |
local.description.affiliation | [Barthels, Myrte; Pierlet, Noella] Hosp East Limburg, Data Sci Dept, Genk, Belgium. | - |
local.description.affiliation | [Verbrugge, Frederik H.] Univ Hosp Brussels, Ctr Cardiovasc Dis, Jette, Belgium. | - |
local.description.affiliation | [Verbrugge, Frederik H.] Vrije Univ Brussel, Fac Med & Pharm, Brussels, Belgium. | - |
local.description.affiliation | [Wouters, Femke] Hasselt Univ, Mobile Hlth Unit, LCRC, Hasselt, Belgium. | - |
local.description.affiliation | [Wouters, Femke] Hosp East Limburg, Future Hlth Dept, Genk, Belgium. | - |
local.description.affiliation | [Pierlet, Noella] Univ Hosp Brussels, Ctr Cardiovasc Dis, Schiepse Bos 6, B-3600 Genk, Belgium. | - |
local.uhasselt.international | no | - |
item.embargoEndDate | 2024-08-31 | - |
item.fullcitation | GRUWEZ, Henri; BARTHELS, Myrte; Haemers , Peter; VERBRUGGE, Frederik; DHONT, Sebastiaan; MEEKERS, Evelyne; WOUTERS, Femke; NUYENS, Dieter; PISON, Laurent; VANDERVOORT, Pieter & PIERLET, Noella (2023) Detecting Paroxysmal Atrial Fibrillation From an Electrocardiogram in Sinus Rhythm External Validation of the AI Approach. In: JACC-Clinical Electrophysiology, 9 (8) , p. 1771 -1782. | - |
item.contributor | GRUWEZ, Henri | - |
item.contributor | BARTHELS, Myrte | - |
item.contributor | Haemers , Peter | - |
item.contributor | VERBRUGGE, Frederik | - |
item.contributor | DHONT, Sebastiaan | - |
item.contributor | MEEKERS, Evelyne | - |
item.contributor | WOUTERS, Femke | - |
item.contributor | NUYENS, Dieter | - |
item.contributor | PISON, Laurent | - |
item.contributor | VANDERVOORT, Pieter | - |
item.contributor | PIERLET, Noella | - |
item.accessRights | Embargoed Access | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 2405-500X | - |
crisitem.journal.eissn | 2405-5018 | - |
Appears in Collections: | Research publications |
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Detecting Paroxysmal Atrial Fibrillation.pdf Until 2024-08-31 | Peer-reviewed author version | 588.54 kB | Adobe PDF | View/Open Request a copy |
Detecting Paroxysmal Atrial Fibrillation From an Electrocardiogram in Sinus Rhythm.pdf Restricted Access | Published version | 1.84 MB | Adobe PDF | View/Open Request a copy |
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