Abstract 159: New Insight of Coronary Wall Structural Changes from an Optical Coherence Tomography (OCT) study Following Kawasaki Disease.
Bibliographic record
Abstract
Background: Coronary artery aneurysms (CAA) are a serious complication of Kawasaki disease (KD). Coronary imaging usually describes aneurysms, stenosis and dilatation. Optical coherence tomography (OCT) is a technique useful for intracoronary imaging and coronary wall structure characterization. Method: KD patients scheduled for routine coronary angiography underwent OCT imaging between June 2013 and August 2014. Subjects’ clinical courses with echocardiography and angiography were reviewed to contrast with OCT findings. Results: OCT was performed on 18 patients 9.0 ± 5.1 years after KD at 12.4 ± 5.5 yo (range 3.5-21 yo). Of those, 14 (77.7%) had a history of CAA (7 giant CAA, 7 regressed CAA at time of OCT). Prophylactic intracoronary nitroglycerin was given (88.4 ± 45.5 μg/m2). Total X-ray exposure was 10.9 mGy/kg. One patient had a transitory uneventful vasospasm at the site of a former CAA, otherwise no major complications occurred (such as dissection, thrombosis, ischemia, arrhythmia). OCT findings were intimal hyperplasia in 15/18 (83.3%) on aneurysmal and regressed aneurysm segments. Intimal hyperplasia measured 390.8 ± 166.0 μm for the affected segments, compared to 61.7 ± 17.0 μm for the unaffected segments (p<0.001). Destroyed media, fibrosis, calcifications, macrophage infiltration, neovascularization and white thrombus were also seen (Table 1). In two cases with previously implanted stent, the neo-intima was identified, measuring 80-160 μm. Conclusion: In our experience, OCT proved safe and insightful in the setting of KD. The observed coronary structural changes correspond to histological findings described in the literature late after KD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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".