Laser Lead Extraction: Predictors of Success and Complications
Bibliographic record
Abstract
BACKGROUND: Paralleling the rise in pacemaker and defibrillator implantations, lead extraction procedures are increasingly required. Concerns regarding failure and complications remain. METHODS AND RESULTS: A total of 200 lead extraction procedures were performed at the Montreal Heart Institute between September 2000 and August 2005. In 23 patients, all leads were removed by traction with a locking stylet. A total of 270 leads were extracted using a laser sheath system (Spectranectics, Colorado Springs, CO, USA) in 177 procedures involving 175 patients (74% male), age 62+/-16 years. Procedural indications were: infection 88 (50%), dysfunction 54 (30%), upgrade 21 (12%), and other 14 (8%). Overall, 241 leads (89%) were successfully extracted, 7 (3%) were partially extracted (< or = 4 cm retained), and 22 (8%) were non-extractable. In multivariate analyses, predictors of failed extraction were longer time from implant (OR 1.16 per year, P=0.0001) and history of hypertension (OR 5.2, P=0.0023). Acute complications occurred in 14 of 177 procedures (7.9%): 8 (4.5%) minor and 6 (3.4%) major, with one death. In multivariate analyses, the only predictor of acute complications was laser lead extraction from both right and left sides during the same procedure (OR 9.4, P = 0.0119). In addition, 3 of 10 patients with failed or partially extracted infected systems eventually required open chest explantation because of endocarditis. CONCLUSION: Most leads not amenable to manual traction may be successfully extracted by a percutaneous laser sheath system. While most complications are minor, major complications including death may occur. Older leads are at higher risk for failed extraction. Endocarditis may ensue if infected leads are incompletely removed.
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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) | 0.000 | 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".