Myocardial blush and microvascular reperfusion following manual thrombectomy during percutaneous coronary intervention for ST elevation myocardial infarction: insights from the TOTAL trial
Bibliographic record
Abstract
AIMS: Thrombectomy during primary percutaneous coronary intervention (PPCI) for ST elevation myocardial infarction (STEMI) has been thought to be an effective therapy to prevent distal embolization and improve microvascular perfusion. The TOTAL trial (N = 10 732), a randomized trial of routine manual thrombectomy vs. PCI alone in STEMI, showed no difference in the primary efficacy outcome. This angiographic sub-study was performed to determine if thrombectomy improved microvascular perfusion as measured by myocardial blush grade (MBG). METHODS AND RESULTS: Of the 10 732 patients randomized, 1610 randomly selected angiograms were analysable by the angiographic core laboratory. Primary outcomes included MBG and post-PCI thrombolysis in myocardial infarction (TIMI) flow grade. Secondary outcomes included distal embolization, PPCI complications, and each component of the complications. The primary end point of final myocardial blush (221 [28%] 0/1 for thrombectomy vs. 246 {30%} 0/1 for PCI alone group, P = 0.38) and TIMI flow (712 [90%] TIMI 3 for thrombectomy vs. 733 [89.5%] TIMI 3 for PCI alone arm, P = 0.73) was similar in the two groups. Thrombectomy was associated with a significantly reduced incidence of distal embolization compared with PCI alone (56 [7.1%] vs. 87 [10.7%], P = 0.01). In multivariable analysis, distal embolization was an independent predictor of mortality (HR 3.00, 95% CI 1.19-7.58) while MBG was not (HR 2.73, 95% CI 0.94-5.3). CONCLUSIONS: Routine thrombectomy during PPCI did not result in improved MBG or post-PCI TIMI flow grade but did reduce distal embolization compared with PCI alone. Distal embolization and not blush grade is independently associated with mortality.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".