Anatomical, physiological and inflammatory characterization of nonculprit vessels in patients undergoing primary PCI for ST-elevation myocardial infarction in the presence of multivessel disease: Rationale and design of the PICNIC study
Bibliographic record
Abstract
Up to 50% of patients presenting with ST-elevation myocardial infarction (STEMI) have multivessel coronary artery disease (CAD). Randomized trials suggest that complete revascularization improves outcomes, but the mechanism and identification of patients who benefit remain unclear. This study aims to assess the association between blood and coronary imaging biomarkers and clinical events, to identify patient-, vessel-, and lesion-specific risk in STEMI patients with bystander disease. PICNIC is a multicenter, international, prospective observational study enrolling 320 patients with STEMI and multivessel CAD undergoing primary PCI of the culprit vessel without complete revascularization. Participants will undergo blood sampling for inflammatory markers and coronary CT angiography (CTCA) to assess: (i) plaque burden and morphology, (ii) artificial intelligence-enabled fractional flow reserve derived from CTCA (FFR CT ) analysis of plaque and hemodynamic features, and (iii) fat attenuation index (FAI) to evaluate perivascular inflammation. The primary analysis will evaluate the association between a composite 24-month clinical endpoint (including all-cause mortality, myocardial infarction, ischemia-driven revascularization as first layer and cardiac arrest, heart failure, stroke, and ventricular tachyarrhythmia (second layer)) and: (a) serum inflammatory markers, and (b) anatomical and physiological characteristics of non–infarct-related arteries (NIRA) assessed by CTCA, FFR CT , and FAI. Statistical and machine learning methods will be applied to determine which combinations of clinical, imaging, and biomarker data best predict patient-, vessel-, and lesion-specific risk. PICNIC will characterize the anatomical, physiological, and inflammatory features of NIRA lesions in STEMI patients treated with culprit-only PCI in order to develop an AI-based risk prediction model. If such a model is successful it could be used to inform personalized revascularization strategies.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".