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Record W4377984136 · doi:10.1093/europace/euad122.214

Acute kidney injury following percutaneous left atrial appendage occlusion: results from an international multicentre registry

2023· article· en· W4377984136 on OpenAlexaff
Domenico G. Della Rocca, Michele Magnocavallo, T Gilhofer, C Van Niekerk, G Ha, Gabriele D’Ambrosio, Jennifer Galvin, Lukas Urbanek, Boris Schmidt, Dhanunjaya J. Lakkireddy, Moussa Mansour, Jacqueline Saw, Rodney Horton, Douglas Gibson, Andrea Natale

Bibliographic record

VenueEP Europace · 2023
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsMedicineCreatinineAcute kidney injuryInternal medicineRenal functionIncidence (geometry)Stage (stratigraphy)PercutaneousCardiologySurgery

Abstract

fetched live from OpenAlex

Abstract Funding Acknowledgements Type of funding sources: None. Background Acute kidney injury (AKI) is a serious complication after invasive cardiac procedures and has been associated with a higher incidence of periprocedural complications and increased mortality. Data on the occurrence of AKI associated with left atrial appendage occlusion (LAAO) are very limited. Purpose To report the incidence, predictors, and clinical implications of AKI following percutaneous LAAO. Methods This multicenter registry included 2124 patients with successful Watchman implantation. AKI was defined according to the AKI Network criteria as an increase in serum creatinine of ≥0.3 mg/dL or of ≥50% over the course of 48 hours post-procedure. Patients meeting this definition were further categorized in three stages: stage 1, increase in serum creatinine ≥ 0.3 mg/dl (≥ 26.4 μmol/l) or of 1.5 to 2 times compared to baseline; stage 2, increase in serum creatinine of 2 to 3 times compared to baseline; stage 3, increase in serum creatinine of > 3 times compared to baseline or serum creatinine ≥ 4.0 mg/dl [≥ 354 μmol/l] with an acute increase of at least 0.5 mg/dl [44 μmol/l]. Results Post-procedural AKI was documented in 68 (5.5%) of 1234 patients with creatinine determination between 24 and 48 hours post-LAAO. Among them, 63 (92.6%) patients had AKI stage 1, 4 (5.9%) had AKI stage 2, and 1 (1.5%) had AKI stage 3. AKI was associated with higher CHA2DS2-VASc (5.3 ± 1.4 vs. 4.8 ± 1.4; p=0.001) and HAS-BLED (3.8 ± 0.9 vs. 3.5 ± 1.0; p=0.01) scores at baseline, as well as a higher prevalence of diabetes mellitus (p=0.04) and CHF (p<0.001). At multivariate analysis (Table 1), independent predictors of AKI were CKD stage 4/5 (OR: 1.998; 95% CI: 1.018 – 3.923; p=0.04), and CHF (OR: 2.286; 95% CI: 1.328 – 3.934; p=0.01). The average follow-up was 13 ± 7 months. The annualized rates of cardiovascular mortality were 5.5% in AKI and 1.0% in non-AKI patients (p=0.01). The annualized rates of overall mortality were 15.1% in AKI and 3.4% in non-AKI patients (p<0.001). Conclusion AKI was an infrequent complication following percutaneous LAAO and a powerful predictor of cardiovascular and overall mortality during follow-up.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.348
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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