Performance of a novel left ventricular lead with short bipolar spacing for cardiac resynchronization therapy: Primary results of the Attain Performa Quadripolar Left Ventricular Lead Study
Bibliographic record
Abstract
BACKGROUND: The Medtronic Attain Performa quadripolar leads provide 16 pacing vectors with steroid on every electrode. This includes a short bipolar configuration between the middle 2 electrodes. OBJECTIVE: A prospective clinical study was conducted to investigate the safety and effectiveness of these new leads in 27 countries. METHODS: Cardiac resynchronization therapy with defibrillator candidates were enrolled (mean age 68 years; 71% men). All implanted subjects were followed at 1, 3, and 6 months postimplant. Pacing capture threshold (PCT) values were measured at each visit. Adverse events were reported upon occurrence. RESULTS: Of 1124 subjects in whom a left ventricular (LV) lead was attempted, 1097 (97.6%) were successfully implanted with an Attain Performa lead. Thirty-six LV lead-related complications were reported (the 6-month LV lead-related complication-free survival rate was 96.9%). Phrenic nerve stimulation (PNS) occurred in 81 subjects (7.2%), with only 3 (0.3%) requiring surgical intervention. At 6 months, the mean PCT at the programmed vector was (1.1 ± 0.8) V and 94.4% of subjects had a PCT of ≤2.5 V. All 16 programming polarities were used in at least 1 patient, and short bipolar configurations were used in 17% of subjects. CONCLUSION: This large multicenter study demonstrated a high success rate for the implantation of Attain Performa quadripolar LV leads with a low complication rate. The PCT was low and stable over time. A low rate of postimplantation PNS was observed, and cases of PNS were readily resolved with reprogramming. Nonstandard vectors were often used for LV pacing.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".