Abstract 225: Variations in Pharmacological Management of Children with Coronary Artery Aneurysms after Kawasaki Disease: A Study from the North American Kawasaki Disease Registry
Bibliographic record
Abstract
Background: The pharmacological management of coronary artery aneurysms (CAA) associated with Kawasaki disease (KD) is based on imperfect evidence, which may lead to considerable practice variation. Methods: Pharmacological management of patients included in the North American Kawasaki Disease Registry was reviewed. The Registry included data for 621 patients with CAA after KD (280 patients with maximum CAA z-score between 2.5-5.0, 139 with z-score 5.0-10.0 and 202 with z-score >10.0) followed at 20 medical centers. Practice variation regarding acute treatment, anti-inflammatory agents, statins, beta-blockers, antiplatelet therapy and anticoagulation were assessed. Results: Considerable practice variation existed between centers. During the acute phase, 93% of patients received at least one dose of IVIG (range: 80-100%), with 23% (range: 12-50%) receiving additional immunomodulatory treatment (22% additional IVIG, 17% steroids, 4% infliximab). Use of a 3 rd course of IVIG was infrequent (2%). All centers reported using additional IVIG or steroids for IVIG-resistant patients, but only 6 centres reported any experience with infliximab (2 commonly, 4 infrequent). Routine use of non-steroidal anti-inflammatory agents was limited to 2 centres, with 4 additional sites reporting infrequent use (10% of patients). Statins (5%), beta blockers (4%) and abciximab (3%) were mostly used by a single centre and was limited to patients with giant CAAs. Aspirin was the primary antiplatelet modality for 97% of patients, clopidogrel (10% of all patients, 23% in giant CAA) was routinely prescribed to patients with giant CAAs at 6 centres, with 2 more centres reporting infrequent use and the remainder not reporting any use. For patients with giant CAA (z-score>10.0), 46% were maintained on an antiplatelet agent alone, 17% additionally were on low molecular weight heparin(LMWH), 12% on warfarin and 25% had initially received LMWH and were later switched to warfarin. Conclusions: Given the important variations in management between centres and the poor evidence base, randomized controlled trials examining outcomes and nested in a high-quality collaborative registry may be an efficient strategy to address this gap.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| 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) | 0.002 | 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".