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Record W4398784740 · doi:10.1093/europace/euae102.051

Incidence and predictors of heart failure events following cardiac surgery in patients with atrial fibrillation - insights from the LAAOS-III trial

2024· article· en· W4398784740 on OpenAlexaff
Lucas Yixi Xing, Richard Whitlock, Emilie P. Belley‐Côté, William F. McIntyre, Domenico Paparella, Jesper Hastrup Svendsen, Søren Zöga Diederichsen, Katheryn Brady, Stuart J. Connolly, Jorge Wong, David Conen, Linda Johnson, Jeff S. Healey

Bibliographic record

VenueEP Europace · 2024
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsPopulation Health Research Institute
Fundersnot available
KeywordsMedicineAtrial fibrillationIncidence (geometry)Heart failureInternal medicineCardiologyCardiac surgery

Abstract

fetched live from OpenAlex

Abstract Background Atrial fibrillation (AF) is a common comorbidity in patients undergoing cardiac surgery and further increases the risk of incident heart failure (HF). However, only limited data exist on HF events following surgery in patients with AF. Methods The Left Atrial Appendage Occlusion Study (LAAOS) III was a randomized trial evaluating concomitant left atrial appendage occlusion in patients with AF undergoing cardiac surgery. In this secondary analysis, we aimed to identify independent predictors of the composite outcome of HF hospitalization or HF-related death following discharge, using a multivariable Cox model – incorporating sex, age (≥65 vs <65 years), systolic blood pressure (≤140 vs >140 mmHg), body mass index (BMI; <25 vs 25-29.9 vs ≥30 kg/m2), diabetes mellitus (DM), prior HF diagnosis, prior stroke, ischemic heart disease (IHD), heart valve surgery, AF history duration, rhythm on discharge electrocardiogram, and trial allocation. Supplementary analyses were undertaken to further assess the continuous variables using cubic spline regression. Results Of 4770 patients enrolled, in-hospital death occurred in 201 (4.2%) and complete discharge data were available for 4564 (95.7%). During a median follow up of 3.9 years, 533 (11.7%) of 4564 patients were hospitalized for HF. In total, 873 (19.1%) died after discharge, including 95 HF-related deaths. The composite outcome of HF hospitalization or HF-related death occurred at an annualized event rate of 3.31%/year [95% confidence interval: 3.04-3.60]. The independent risk factors included age (event rate of 3.64%/year vs 2.03%/year for ≥65 vs <65 years; hazard ratio (HR) 1.71 [1.32-2.21]), DM (4.71%/year vs 2.71%/year for with vs without DM; HR 1.59 [1.34-1.90]), prior HF diagnosis (4.27%/year vs 2.17%/year for with vs without HF; HR 2.00 [1.66-2.41]), IHD (3.63%/year vs 2.85%/year for with vs without IHD; HR 1.26 [1.03-1.54]), AF history duration (3.81%/year vs 2.89%/year for >2 vs <0.5 years; HR 1.23 [1.01-1.50]), and AF rhythm at discharge (3.87%/year vs 2.68%/year for AF vs non-AF rhythm; HR 1.31 [1.09-1.58]). The supplementary spline analyses further revealed a positive correlation between BMI and the risk of the composite outcome (p-value 0.042). Conclusions In patients with AF undergoing cardiac surgery, post-discharge HF hospitalization and HF-related death occurred at a rate of 3.31% per year. Our study identified several significant risk factors including advanced age, higher BMI, DM, prior HF diagnosis, IHD, AF history >2 years, and AF rhythm at discharge.The associations of HF with age and BMI

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 score0.026
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.017
GPT teacher head0.261
Teacher spread0.244 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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