MétaCan
Menu
Back to cohort
Record W4225662081 · doi:10.1017/s1047951122000087

54th Annual Meeting of the Association for European Paediatric and Congenital Cardiology (AEPC) Digital, Gothenburg, Sweden | 25–27 May 2021

2022· article· en· W4225662081 on OpenAlexfundno aff

Bibliographic record

VenueCardiology in the Young · 2022
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsnot available
FundersUniversity of Colorado School of Medicine, Anschutz Medical CampusUniwersytet Śląski w KatowicachŚląski Uniwersytet Medyczny w KatowicachUniversité de GenèveHospital for Sick ChildrenSamfundet FolkhälsanUniversity Hospital Southampton NHS Foundation TrustUniversiteit MaastrichtRijksuniversiteit GroningenSingapore Institute for Clinical SciencesOxford University Hospitals NHS Foundation TrustAgency for Science, Technology and ResearchMedizinischen Hochschule HannoverUniversitair Medisch Centrum GroningenMinerva FoundationUniversity Hospitals Bristol NHS Foundation TrustUniversity of OxfordUniversitätsspital ZürichChildren's Hospital ColoradoAlder Hey Children's NHS Foundation TrustTel Aviv UniversityImperial College LondonDeutsches Zentrum für Herz-KreislaufforschungUniversitätsmedizin GöttingenUniversity College LondonTechnische Universität MünchenHelsingin YliopistoUniversity Hospitals of Leicester NHS Trust
KeywordsMedicinePediatricsInternal medicineCardiology

Abstract

fetched live from OpenAlex

Introduction: CartoSound(EAM-ICE) intra-cardiac echocardiography(ICE) integrated with electro-anatomic mapping(EAM) is a new tool that has emerged in the field of pediatric electrophysiology. The combination of both technologies allows defining the arrhythmia propagation maps for different arrhythmia substrates while shows direct visualisation of cardiac structures and electrode tip. This report aims to describe our initial experience with CartoSound for cardiac ablations in paediatric patients, with and without congenital heart defects(CHD). Methods: The clinical and electrophysiologic data of the first 30 paediatric patients (<18 y old) in whom we used CartoSound@ (EAM-ICE) system for cardiac ablation was reviewed. The procedure was done using ALARA Fluro-protocol. A 3-dimensional shape of the heart was created using 8Fr SoundStar Probe. The ICE catheter was introduced via femoral vein access in 28 patients. In 2 cases, the ICE catheter was placed in the oesophagus. Results: The median age was 13,4 y (5-17,4) with 16 females. Arrhythmia substrates comprised 20 patients with WPW syndrome, 4 AVNRT, 3 VT and 3 focal atrial tachycardia. Twenty-one patients had a structurally normal heart, and 9 had CHD. Procedure duration was 200100 min(median SD), and fluoroscopy time was 10 3 min. 3D Cardiac anatomy acquisition took 45 30 min. ICE image quality was excellent in all cases. In all 7 patients with left-sided substrates, the transseptal puncture was guided by ICE with minimal fluoroscopy without tracheal intubation. Cryoablation was used in 2 patients, one with a parahisian pathway and another one with AVNRT in a fenestrated TCPC. The other 28 cases, radiofrequency was used. Non irrigated tip catheters were used in 26, and only two irrigated tip catheters were used for 2 pathways inside the coronary sinus. All applications were performed with direct visualisation of the ablation catheter tip in contact with the endocardium. Correlation between ablation efficacy and the cardiac contact with catheter tip was excellent. Acute success during ablation was achieved in 27/30 patients. No complications were reported. Conclusions: CartoSound(EAM-ICE) is an excellent tool for guiding cardiac catheter ablation in children. The demonstration of catheter position and direct visualisation of catheter tip contact during ablation lesions correlates well with ablation success.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.252
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCardiology in the YoungSame topicCongenital Heart Disease StudiesFrench-language works237,207