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Completeness of revascularization in relation to major cardiovascular events in patients with ST-elevation myocardial infarction and multivessel disease: results from the COMPLETE trial

2025· article· en· W7127982269 on OpenAlexaff
Mehdi Madanchi, N Pinilla-Echeverri, D A Wood, R F Storey, V Kunadian, G C Campo, R Moreno, R Mehran, S V Rao, Kevin R. Bainey, H Nguyen, L Zhuoru, T Sheth, J A Cairns, S R Mehta

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsCanadian VIGOUR CentreUniversity of British ColumbiaPopulation Health Research Institute
Fundersnot available
KeywordsConventional PCIPercutaneous coronary interventionRevascularizationMyocardial infarctionCulpritAngioplasty

Abstract

fetched live from OpenAlex

Abstract Background In the COMPLETE trial (Complete versus Culprit-Only Revascularization Strategies to Treat Multivessel Disease after Early Percutaneous Coronary Intervention for ST-Segment Elevation Myocardial Infarction), a multivessel percutaneous coronary intervention (PCI) strategy was superior to culprit-only PCI in reducing ischemic events in patients with ST-elevation myocardial infarction (STEMI) and multivessel disease (MVD). Purpose To evaluate whether the completeness of revascularisation influences the effect of multivessel PCI versus culprit-lesion only revascularization among patients with STEMI and MVD based on a modified residual SYNTAX score (R’SS). Methods The COMPLETE trial randomized 4,041 patients with STEMI and MVD to either angiography-guided, staged multivessel PCI of all non-culprit lesions (NCLs)> 70% stenosis or a culprit lesion-only strategy. An angiographic core lab evaluated all baseline and follow-up coronary angiograms for completeness of revascularization as assessed by the R’SS after NCL-PCI in the multivessel PCI group. A R’SS=0 indicated complete revascularization of all NCL’s with≥70% stenosis and a R’SS>0 indicated incomplete revascularization with≥1 eligible NCLs not revascularized. The first coprimary outcome was cardiovascular death (CV-death) or new myocardial infarction (MI) and the second coprimary outcome was CV-death, new MI, or ischemia-driven revascularization. Results In the multivessel PCI group, 90% achieved complete revascularization (R'SS=0), while 10% did not (R'SS>0). There were no major differences in baseline characteristics between the culprit lesion-only group, the multivessel PCI R’SS=0 and R’SS>0 groups. Among patients in the multivessel PCI group achieving a R’SS=0, the first coprimary outcome occurred less frequently compared with those who underwent culprit lesion-only PCI (6.6% vs. 10.7%, HR 0.61 [0.48-0.77]). By contrast, among those with a R’SS>0, there was no difference in the first coprimary outcome compared with the culprit lesion-only PCI group (10.7% vs. 10.7%, HR 0.98 [0.61-1.57], interaction P<0.001). Similarly, the second coprimary outcome was less common in the R’SS=0 group compared with the culprit lesion-only PCI group (7.4% vs. 17.1%, HR 0.41 [0.33-0.51], whereas no difference was observed in patients with a R’SS>0 and the culprit-only PCI group (HR 0.67 [0.43-1.04], interaction P<0.001), (Figure 1&2). Conclusions Among patients with STEMI and MVD randomized to a multivessel PCI strategy, those achieving complete revascularization as assessed in an angiographic core lab, experienced a significant reduction in major cardiovascular events compared with a culprit lesion-only strategy. By contrast, in patients randomized to a multivessel PCI strategy where complete revascularization was not achieved, no such benefit was observed. This finding implies that the benefit of multivessel PCI is dependent on actually achieving complete revascularization.Figure 1 Figure 2

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.027
GPT teacher head0.271
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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