Angiographic predictors of 2‐year stent thrombosis in patients receiving drug‐eluting stents: Insights from the <scp>ADAPT‐DES</scp> study
Bibliographic record
Abstract
OBJECTIVES: We sought to identify angiographic predictors of 2-year stent thrombosis (ST) in the ADAPT-DES study. BACKGROUND: A strong relationship between platelet reactivity and ST after implantation of drug-eluting stents (DES) was recently confirmed in the prospective, multicenter ADAPT-DES study. METHODS: In a pre-specified analysis of patients enrolled in ADAPT-DES, an independent angiographic core laboratory performed detailed angiographic analyses for all cases of ST. Patients with Academic Research Consortium definite/probable target-lesion ST were matched with controls in a 1:2 ratio, and multivariable Cox regression models identified angiographic predictors of 2-year ST. RESULTS: Among 8,582 patients who had successful percutaneous coronary intervention (PCI) and were included in the ADAPT-DES study, 92 (1.1%) patients had ST at 2-year follow-up. Target lesion-related ST was identified in 77 patients (82 lesions) who were clinically matched with 153 patients (196 lesions) without ST. Patients with ST were more likely to have longer target lesions, thrombus, moderate/severe calcification, American College of Cardiology/American Heart Association (ACC/AHA) type C lesions, and saphenous vein grafts. After adjustment for clinical covariates the angiographic variables that predicted ST were lesion complexity (ACC/AHA type C lesion, adjusted HR: 1.97, 95% CI: 1.19 to 3.26, P = 0.01) and presence of thrombus on index PCI (HR: 2.25, 95% CI: 1.40 to 3.59, P < 0.01). CONCLUSIONS: Anatomically complex lesions and the presence of thrombus are strong predictors of 2-year ST in the DES era. © 2016 Wiley Periodicals, Inc.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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".