Evaluation of the Long-term Cardiac Prognosis of Kawasaki Disease in Canada
Bibliographic record
Abstract
To evaluate the long-term risk of hypertension and other major adverse cardiac events (MACE) in individuals with Kawasaki Disease (KD), an inception cohort of 1,169 KD patients diagnosed between 1991-2008 was linked with health administrative data and their risk was compared with 11,690 population comparators. During 21,792 and 218,578 patient years (PY) of follow-up among KD and comparators, respectively, incidence rates of hypertension were 1.38 (95%CI 0.93-1.97) vs 0.62 (95%CI 0.52-0.74)/1000 PY. Multivariable cause-specific hazard models estimated that KD patients had an increased risk for hypertension and MACE. This increased risk for hypertension and MACE was also observed in KD patients with normal coronary arteries relative to comparators. MACE risk was higher in KD patients with coronary aneurysms. For all cardiac outcomes, the increased risk was highest following diagnosis and diminished over follow-up. Despite the relative increase, the low event rates suggest that cardiac prognosis in KD remains favorable.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".