Complications Associated With Implantable Cardioverter-Defibrillator Replacement in Response to Device Advisories
Bibliographic record
Abstract
CONTEXT: Recent implantable cardioverter-defibrillator (ICD) advisories and recalls have caused management dilemmas for physicians, particularly because there are no specific guidelines or data on outcomes from current management strategies. The risk of ICD generator replacement has not been assessed in this population. OBJECTIVE: To determine the complication rate associated with ICD generator replacement for the current ICD advisories. DESIGN AND SETTING: Seventeen ICD implanting centers in Canada were surveyed to assess complication rates as a result of generator replacements because of ICD advisories from October 2004 to October 2005. MAIN OUTCOME MEASURE: Complications associated with elective ICD generator replacement for current device advisories. RESULTS: At the 17 surveyed centers, 2915 patients had recall devices, including 533 (18.3%) who had advisory ICDs replaced a mean (SD) of 26.5 (11.5) months after their initial implant. Of these patients, 66% had a secondary prevention ICD, and 45% had received a previous appropriate shock. During a mean (SD) of 2.7 (2.8) months' follow-up after ICD generator replacement, complications occurred in 43 patients (8.1%). Major complications attributable to advisory device replacement requiring reoperation occurred in 31 patients (5.8%), with death in 2 patients after extraction for pocket infection. Minor complications occurred in 12 patients (2.3%). There were 3 (0.1%) advisory-related device malfunctions reported, without clinical consequences. CONCLUSIONS: ICD generator replacement in patients with advisory devices is associated with a substantial rate of complications, including death. These complications need to be considered in the development of guidelines determining the appropriate treatment of patients with advisory devices.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".