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Record W4408007741 · doi:10.14740/cr2018

Effect of Dapagliflozin on Ventricular Arrhythmic Events in Heart Failure Patients With an Implantable Cardioverter Defibrillator

2025· article· en· W4408007741 on OpenAlexvenueno aff
Gabriele De Masi De Luca, Zefferino Palamà, Simonetta Longo, Francesca Barba, Antonio Gianluca Robles, Martina Nesti, Antonio Scarà, Giovanni Coluccia, Marzia Colopi, Giuseppe De Masi De Luca, Simona Minardi, Liuba Fusco, Pietro Palmisano, Michele Accogli, Luigi Sciarra, Silvio Romano

Bibliographic record

VenueCardiology Research · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsnot available
FundersUniversità degli Studi dell'Aquila
KeywordsMedicineCardiologyInternal medicineImplantable cardioverter-defibrillatorHeart failureDapagliflozinVentricular fibrillation

Abstract

fetched live from OpenAlex

Background: The aim of our study was to evaluate the effects of dapagliflozin on the ventricular arrhythmia burden (VAb) in patients with heart failure with reduced ejection fraction (HFrEF) and an implantable cardioverter defibrillator (ICD), correlating the possible reduction in arrhythmic events and ICD therapies with the basal functional capacity, as well as the remodeling parameters induced by treatment. Methods: A total of 117 outpatient ICD patients with a known diagnosis of HFrEF who underwent treatment with dapagliflozin were evaluated according to a prospective observational protocol. VAb (including sustained ventricular tachycardia, non-sustained ventricular tachycardia, ventricular fibrillation, and total ventricular events) and specific ICD therapies (anti-tachycardia pacing (ATP) and ICD shocks) were extrapolated from the devices’ memory (events per patient per month) by comparing events in the observation period before and after the introduction of dapagliflozin. Results: The VAb was significantly reduced after dapagliflozin introduction (2.9 ± 1.8 vs. 4.5 ± 2.0, P = 0.01). The burden of appropriate ATPs was significantly reduced (0.57 ± 0.80 vs. 0.65 ± 0.91, P = 0.03), but not for ICD shocks. In patients with a more advanced functional class, a greater reduction in VAb was observed than in patients with a better initial functional capacity (2.2 ± 0.8 vs. 5.5 ± 1.8, P = 0.001 in the New York Heart Association (NYHA) III/IV group; 3.5 ± 2.1 vs. 4.5 ± 2.2, P = 0.02 in the NYHA I/II group). Considering two independent groups according to reverse remodeling (Δleft ventricular ejection fraction (LVEF) > 15%), a significant reduction in VAb was observed only in those patients who presented significant reverse remodeling (2.5 ± 1.1 vs. 5.1 ± 1.6, P = 0.01). A statistically significant interaction between the variation of total ventricular arrhythmias (VTA) and the basal NYHA class (F(1,115) = 142.25, P < 0.0001, partial η2 = 0.553), as well as between the variation of VTA and the ΔLVEF (F(1,115) = 107.678, P < 0.0001, partial η2 = 0.484) has been demonstrated using a two-way analysis of variance (ANOVA) test. Conclusions: In ICD outpatients with HFrEF, dapagliflozin treatment produces a reduction in arrhythmic ventricular events. This improvement is more evident in patients who have a worse functional class and thus a more precarious hemodynamic state, and in patients who present with significant ventricular reverse remodeling. Therefore, we can hypothesize that the hemodynamic and structural improvements induced by treatment represent, at least in the short-medium term, some of the principal elements justifying the significant reduction in VAb.

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)0.000
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 score0.060
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.312
Teacher spread0.301 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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