Longterm outcomes in patients with giant aneurysms secondary to Kawasaki disease.
Bibliographic record
Abstract
OBJECTIVE: Kawasaki disease (KD) has potentially serious cardiac complications including coronary artery aneurysms. Children who develop giant aneurysms (GA) are at increased risk of thrombosis and ischemia, and although longterm oral anticoagulation with warfarin is recommended, its efficacy has not been studied. We examined the longterm outcome of patients with GA secondary to KD, to determine if anticoagulation with warfarin aids in the prevention of myocardial ischemia. METHODS: We studied patients with KD followed between May 1990 and April 2000. RESULTS: Thirty-nine GA occurred in 2.2% of patients with KD (22/997 patients), and 33 non-GA were also identified in these patients. Patients were divided into 2 groups, those taking warfarin and no warfarin. Most patients in both groups were also taking antiplatelet agents. The demographics of the 2 groups were statistically similar, except the median duration of followup was significantly longer for patients in the no-warfarin group (6.9 vs 13.3 yrs; p = 0.008). Four early ischemic events (< 1 year after KD diagnosis) occurred (3 myocardial infarctions and one stroke). Screening for late ischemic events by stress nuclear medicine myocardial perfusion imaging revealed only one patient, in the no-warfarin group, with reversible perfusion defects. No patient had clinical signs or symptoms of late myocardial ischemia. Echocardiographic regression of aneurysms was observed in both groups. In the warfarin vs no-warfarin group, the diameters of the GA regressed a median 22% vs 32% (p = 0.27), and non-GA regressed a median of 30% vs 25% (p = 0.61). Compliance with anticoagulation was good, and no major bleeding complication of anticoagulation occurred. CONCLUSION: Regression of GA occurred in most of our patients, and minimal late ischemia was observed. Further studies are required to evaluate the use of oral anticoagulation in patients with GA secondary to KD.
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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 | 0.000 |
| 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".