Cardiac resynchronization therapy non-responder to responder conversion rate in the more response to cardiac resynchronization therapy with MultiPoint Pacing (MORE-CRT MPP) study: results from Phase I
Bibliographic record
Abstract
AIMS: To assess the impact of MultiPoint™ Pacing (MPP)-programmed according to the physician's discretion-in non-responders to standard biventricular pacing after 6 months. METHODS AND RESULTS: The study enrolled 1921 patients receiving a quadripolar cardiac resynchronization therapy (CRT) system capable of MPP™ therapy. A core laboratory assessed echocardiography at baseline and 6 months and defined volumetric non-response to biventricular pacing as <15% reduction in left ventricular end-systolic volume (LVESV). Clinical sites randomized patients classified as non-responders in a 1:1 ratio to receive MPP (236 patients) or continued biventricular pacing (231 patients) for an additional 6 months and evaluated rate of conversion to echocardiographic response. Baseline characteristics of both groups were comparable. No difference was observed in non-responder to responder conversion rate between MPP and biventricular pacing (31.8% and 33.8%, P = 0.72). In the MPP arm, 68 (29%) patients received MPP programmed with a wide LV electrode anatomical separation (≥30 mm) and shortest LV1-LV2 and LV2-RV timing delays (MPP-AS); 168 (71%) patients received MPP programmed with other settings (MPP-Other). MPP-AS elicited a significantly higher non-responder conversion rate compared to MPP-Other (45.6% vs. 26.2%, P = 0.006) and a trend in a higher conversion rate compared to biventricular pacing (45.6% vs. 33.8%, P = 0.10). CONCLUSIONS: After 6 months, investigator-discretionary MPP programming did not significantly increase echocardiographic response compared to biventricular pacing in CRT non-responders.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".