Propensity score matched comparison of subcutaneous and transvenous implantable cardioverter-defibrillator therapy in the SIMPLE and EFFORTLESS studies
Bibliographic record
Abstract
Aims: Comparison of outcomes between subcutaneous and transvenous implantable cardioverter-defibrillator (S-ICD and TV-ICD) therapy is hampered by varying patient characteristics and complication definitions. The aim of this analysis is to compare clinical outcomes of S-ICD and TV-ICD therapy in a matched cohort. Methods and results: Patients implanted with de novo implantable cardioverter-defibrillators without need for pacing were selected from two studies: SIMPLE (n = 1091 single and n = 553 dual chamber TV-ICDs) and EFFORTLESS (n = 798 S-ICDs). Subcutaneous implantable cardioverter-defibrillator patients were 1:1 matched on propensity score to TV-ICD patients. Propensity scores were calculated using 15 baseline characteristics including diagnosis. The Kaplan-Meier estimates for complications requiring invasive intervention, appropriate shocks, and inappropriate shocks were calculated at 3 years follow-up. The primary analysis yielded 391 patients pairs with balanced baseline characteristics, with mean age 55 ± 14 years, 49% ischaemic cardiomyopathy, mean left ventricular ejection fraction 40%, 71% primary prevention, and 89% of TV-ICDs were single chamber. Follow-up was mean 2.9 years in the S-ICD arm vs. 3.3 in the TV-ICD arm. All-cause complications occurred in 9.0% of S-ICD vs. 6.5% of TV-ICD patients, P = 0.29. Appropriate shocks occurred in 9.9% of S-ICD vs. 13.8% in TV-ICD patients, P = 0.03 and inappropriate shocks in 11.9% in S-ICD vs. 8.9% in TV-ICD patients (P = 0.07). Total shock burden (20 vs. 31, P = 0.05) and appropriate shock burden per 100 patients years (9 vs. 18, P = 0.02) were lower for S-ICD patients, while inappropriate shock burden was equal (11 vs. 13, P = 0.56). Conclusion: The earliest experience of the S-ICD demonstrates similar outcomes as contemporary TV-ICD therapy in a matched comparison with predominately single-chamber devices at 3 years 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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".