No-reflow after primary percutaneous coronary intervention in patients with ST-elevation myocardial infarction: an angiographic core laboratory analysis of the TOTAL Trial
Bibliographic record
Abstract
BACKGROUND: The optimal strategy to prevent no-reflow in ST-elevation myocardial infarction (STEMI) patients undergoing percutaneous coronary intervention (PCI) is unknown. AIMS: We aimed to examine the effect of thrombectomy on the outcome of no-reflow in key subgroups and the adverse clinical outcomes associated with no-reflow. METHODS: We performed a post hoc analysis of the TOTAL Trial, a randomised trial of 10,732 patients comparing thrombectomy versus PCI alone. This analysis utilised the angiographic data of 1,800 randomly selected patients. RESULTS: No-reflow was diagnosed in 196 of 1,800 eligible patients (10.9%). No-reflow occurred in 95/891 (10.7%) patients randomised to thrombectomy compared with 101/909 (11.1%) in the PCI-alone arm (odds ratio [OR] 0.95, 95% confidence interval [CI]: 0.71-1.28; p-value=0.76). In the subgroup of patients who underwent direct stenting, those randomised to thrombectomy compared with PCI alone experienced less no-reflow (19/371 [5.1%] vs 21/216 [9.7%], OR 0.50, 95% CI: 0.26-0.96). In patients who did not undergo direct stenting, there was no difference between the groups (64/504 [12.7%] vs 75/686 [10.9%)], OR 1.18, 95% CI: 0.82-1.69; interaction p-value=0.02). No-reflow patients had a significantly increased risk of experiencing the primary composite outcome (cardiovascular death, recurrent myocardial infarction, cardiogenic shock, or NYHA Class IV heart failure) at 1 year (adjusted hazard ratio 1.70, 95% CI: 1.13-2.56; p-value=0.01). CONCLUSIONS: In patients with STEMI treated by PCI, thrombectomy did not reduce no-reflow in all patients but may be synergistic with direct stenting. No-reflow is associated with increased adverse clinical outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| 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".