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Device specific quality of life in subcutaneous versus transvenous implantable cardioverter defibrillator implantations: results from the ATLAS multi-centre randomized controlled trial

2023· article· en· W4388595959 on OpenAlexaff
Sandra Carroll, Blandine Mondésert, Andrew D. Krahn, Jamil Bashir, Kathryn Fisher, Kalpana Nair, Jeff S. Healey

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsMontreal Heart InstitutePopulation Health Research InstituteProvidence Health Care Research InstituteMcMaster University
FundersBoston Scientific Corporation
KeywordsMedicineImplantable cardioverter-defibrillatorRandomized controlled trialQuality of life (healthcare)PerioperativePhysical therapyInternal medicineSurgery

Abstract

fetched live from OpenAlex

Abstract Background Newer innovative subcutaneous implantable cardioverter defibrillators (S-ICDs) offer an alternative to transverse ICDs (TV-ICDs), placing leads outside of the heart thereby potentially reducing lead-related complications. The ATLAS trial, a multi-centre randomized controlled trial, showed a significant reduction in perioperative complications in TV-ICD versus S-ICD patients. The following results report device-related quality-of-life (QoL) measured in the trial. QoL measures are recognized as key patient-reported outcome measures (PROMs). Purpose To compare TV-ICD and S-ICD post implantation device-related QoL in the ATLAS trial. Methods Sample included all randomized ATLAS trial patients. The Florida Patient Acceptance Survey (FPAS) was completed at 1- and 6-months post implantation. The FPAS includes a total score and 4 subscale scores; 1) return to function, 2) device-related distress, 3) positive appraisal, and 4) body image concerns. Scores are scaled from 0-100, with total scores below 63 suggesting poor device acceptance. The primary analysis was based on complete cases and used analysis of covariance (ANCOVA) with 6-month scores as the dependent variable, group as the independent variable, and 1-month FPAS scores as the covariate. Change in FPAS total score over time within each group was explored using paired t-tests. Results There were 252 TV-ICD and 251 S-ICD patients enrolled in the main ATLAS trial, and of these, in the present analysis, 404 patients (197 TV-ICD; 207 S-ICD) had complete FPAS data. Sample mean age (SD) was 49.31 (11.54) years, males (74.3%) and Caucasian (83.7%). There were no substantive differences in patient characteristics between groups. The primary analyses found no differences between TV-ICD and S-ICD groups for FPAS total score (Mean Difference=-0.75; 95% CI, -3.15, 1.66; p=0.510) or FPAS subscale scores. Mean FPAS total scores increased from 74.43 (15.35) to 78.25 (15.88) and 73.73 (16.09) to 77.05 (16.13) between 1-month and 6-months in the TV-ICD and S-ICD groups respectively. The increase from 1-month to 6-months was statistically significant in both groups (p< 0.001). These findings suggest that regardless of ICD type, there is device acceptance in both groups from implantation and over time. Conclusion Analysis of the FPAS measure, a device-specific QoL measure, found both TV-ICD and S-ICD patients reported good acceptance of their devices, with no significant differences between groups for up to 6 months post implantation. These findings provide an important piece to the TV-ICD versus S-ICD line of inquiry in ICD patient populations particularly for this newer S-ICD innovation and can be included in decision making between health professionals and patients.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.112
GPT teacher head0.348
Teacher spread0.236 · 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 designRandomized trial
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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