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918 EARLY RECOGNITION OF SUBCLINICAL ATRIAL FIBRILLATION IN PATIENTS IMPLANTED WITH DIFFERENT DEVICES

2022· article· en· W4311750273 on OpenAlexaboutno aff
Giada Cardia, Antonio Curcio, Letizia Rosa Romano, Cinzia Mancuso, Davide Fiore, Florinda Maria Augusto, Pierangelo Calvelli

Bibliographic record

VenueEuropean Heart Journal Supplements · 2022
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtrial fibrillationCardiologyInternal medicineAsymptomaticCardiac resynchronization therapyImplantable cardioverter-defibrillatorSubclinical infectionStroke (engine)Heart failureEjection fraction

Abstract

fetched live from OpenAlex

Abstract Background Atrial fibrillation (AF) is the supra-ventricular tachyarrhythmia mostly encountered in the clinical practice.While appearing silent or with a constellation of symptoms, it confers a 5-fold risk of stroke. Early detection is mandatory to establish the diagnosis and recommend anticoagulation. Besides the arrhythmia recognition through several tools, such as Holter ECG and loop recorders, it has been underlined that cardiac implantable electronic devices with an atrial lead can help in recognizing asymptomatic AF periods, also known as atrial high-rate episodes (AHREs). Materials and Methods 48 patients with AHRE detection at device telemetry checks were enrolled; implanted device were pacemakers (n=31, 64.8%); implantable cardioverter/defibrillators (ICD, n=8, 16.6%); cardiac resynchronization therapy devices with defibrillators (CRT-D, n=9, 18.5%). Male gender was predominant (40 vs. 8), age was > 65years, and mean CHA2DS2VASc was 4.2±2.8. Patients underwent ECG assessment in 6-month intervals (at baseline and during follow-up), MOntreal Cognitive Assessment test, and device interrogation for AHRE of duration >5 minutes and rate >175 beats per minute. Randomization to a direct oral anticoagulant (DOAC) or usual care (aspirin when needed or placebo) was provided in a blind fashion and maintained for the entire study observation until occurrence of overt AF, followed by exclusion from the study. Results We found that 13%-16% of patients with device-detected AHRE developed AF over a mean follow-up of 2.5 year (range 4.6±2.0). These cases were given oral anticoagulation since change of indication according to current guidelines. Most important comorbidities were coronary artery disease (n=18 patients, 36.73%); systemic hypertension (n=41, 83.67%); diabetes (n=13, 26.53%); dyslipidemia (n=23, 46.8%); heart failure (n=17, 35.4%). 30 patients were treated with beta-blockers(62.5%). 2 patients died for gastrointestinal bleeding. One patient was excluded for major bleeding after one month from the enrollment. Total AHREs duration was significantly lower in patients with pacemaker (14 hrs) compared to patients with CRT-D (17 hrs) and ICD (20 hrs, p<0.05). Conclusions The impact of AHREs was higher in patients affected by cardiac dysfunction and concomitant diseases; none of the patients enrolled in the study developed ischemic stroke; major bleedings were observed in both arms. Further studies are warranted for considering oral anticoagulation based on the sole device interrogation in the context of subclinical atrial fibrillation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.089
GPT teacher head0.344
Teacher spread0.255 · 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.

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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Citations1
Published2022
Admission routes1
Has abstractyes

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