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Record W4308405186 · doi:10.7326/m22-1566

Perioperative Safety and Early Patient and Device Outcomes Among Subcutaneous Versus Transvenous Implantable Cardioverter Defibrillator Implantations

2022· article· en· W4308405186 on OpenAlexaff
Jeff S. Healey, Andrew D. Krahn, Jamil Bashir, François Philippon, William F. McIntyre, Bernice Tsang, Jacqueline Joza, Derek V. Exner, David H. Birnie, Mouhannad M. Sadek, Darryl P. Leong, Markus B. Sikkel, Victoria Korley, John L. Sapp, Jean-François Roux, Shun Fu Lee, G.C. Wong, Angie Djuric, Danna Spears, Sandra Carroll, Eugene Crystal, Tom Hruczkowski, Stuart J. Connolly, Blandine Mondésert, Tim Stivland, Mark Mosley, Peter Aitkins, Jason D. Roberts, Amir Janmohamed, Andrew E. Epstein, John A. Cairns, Kevin E. Thorpe, Harry Klimis, Felipe Cirne, Osama Eltebi, Aditya Khetan, Hisham Dokainish, Guy Amit, Chris Lane, Marc Dubuc, Vidal Essebag, Benoît Plourde, Bernard Thibault, Christian Steinberg, Zachary Laksman, K Simek, Roberta Napoleoni, B. Joy Snider, Kailey Howell, Lauren Christmas, Svetlana Stoyanova-Brennecke, Kiran Qamar, François Lemarbre, J. H. Lefebvre, Faye McCarthy, Ambreen Syeda, Nancy E. Page, Marina P. Sánchez, Marie-Christine Cote, Annette Nath, Pei Ying, C. C. Patterson, Elisa Ramser, Nadia Vachon, Rebecca Cairns, Marta Gadacz, Melissa Braga Gomes

Bibliographic record

VenueAnnals of Internal Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsUniversity of AlbertaUniversity Health NetworkDalhousie UniversityUniversité de SherbrookeUniversity of TorontoMcGill UniversityUniversity of OttawaUniversity of VictoriaUniversity of CalgarySouthlake Regional Health CenterQueen Elizabeth II Health Sciences CentrePopulation Health Research InstituteUniversité LavalInstitut universitaire de cardiologie et de pneumologie de QuébecMontreal Heart InstituteUniversity of British ColumbiaMcMaster University
Fundersnot available
KeywordsMedicineImplantable cardioverter-defibrillatorPerioperativeHazard ratioInternal medicineRandomized controlled trialSudden cardiac deathLead (geology)CardiologySurgeryConfidence interval

Abstract

fetched live from OpenAlex

Background: Implantable cardioverter defibrillators (ICDs) improve survival in patients at risk for cardiac arrest, but are associated with intravascular lead-related complications. The subcutaneous ICD (S-ICD), with no intravascular components, was developed to minimize lead-related complications. Objective: To assess key ICD performance measures related to delivery of ICD therapy, including inappropriate ICD shocks (delivered in absence of life-threatening arrhythmia) and failed ICD shocks (which did not terminate ventricular arrhythmia). Design: Randomized, multicenter trial. (ClinicalTrials.gov: NCT02881255) Setting: The ATLAS trial. Patients: 544 eligible patients (141 female) with a primary or secondary prevention indication for an ICD who were younger than age 60 years, had a cardiogenetic phenotype, or had prespecified risk factors for lead complications were electrocardiographically screened and 503 randomly assigned to S-ICD (251 patients) or transvenous ICD (TV-ICD) (252 patients). Mean follow-up was 2.5 years (SD, 1.1). Mean age was 49.0 years (SD, 11.5). Measurements: The primary outcome was perioperative major lead-related complications. Results: There was a statistically significant reduction in perioperative, lead-related complications, which occurred in 1 patient (0.4%) with an S-ICD and in 12 patients (4.8%) with TV-ICD (−4.4%; 95% CI, −6.9 to −1.9; P = 0.001). There was a trend for more inappropriate shocks with the S-ICD (hazard ratio [HR], 2.37; 95% CI, 0.98 to 5.77), but no increase in failed appropriate ICD shocks (HR, 0.61 (0.15 to 2.57). Patients in the S-ICD group had more ICD site pain, measured on a 10-point numeric rating scale, on the day of implant (4.2 ± 2.8 vs. 2.9 ± 2.2; P < 0.001) and 1 month later (1.3 ± 1.8 vs. 0.9 ± 1.5; P = 0.035). Limitation: At present, the ATLAS trial is underpowered to detect differences in clinical shock outcomes; however, extended follow-up is ongoing. Conclusion: The S-ICD reduces perioperative, lead-related complications without significantly compromising the effectiveness of ICD shocks, but with more early postoperative pain and a trend for more inappropriate shocks. Primary Funding Source: Boston Scientific.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.145
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.034
GPT teacher head0.317
Teacher spread0.283 · 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

Citations69
Published2022
Admission routes1
Has abstractyes

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