Long-Term Impact of Hospitalization for Kawasaki Disease on Health-Related Quality of Life
Bibliographic record
Abstract
OBJECTIVE: To prospectively evaluate the long-term impact of Kawasaki disease (KD) hospitalization on health-related quality of life (HRQoL). METHODS: We merged the Outcomes Assessment Program and KD databases and queried for KD admissions between 1 month and 18 years of age. Patients with a diagnosis of community-acquired pneumonia were included as a comparison group. HRQoL was evaluated with the parent proxy Pediatric Quality of Life Inventory (PedsQL). Long-term follow-up PedsQL surveys were performed at least 1 year after initial diagnosis and hospitalization. Results for the entire cohort adjusted for significant differences were calculated. Propensity score-matched cohorts were constructed from the unmatched cohorts of patients with long-term survey responses. Subgroup analysis for the KD group was performed. RESULTS: Patients with KD (n = 61) versus pneumonia (n = 80) had a lower PedsQL total score on admission and experienced a significantly greater HRQoL decline from baseline to admission. At long-term follow-up, no difference occurred in HRQoL between patients with KD and pneumonia, and 89% of patients with KD reached their baseline PedsQL scores. KD diagnostic subtype, coronary artery dilatation, and need for longer follow-up were not associated with HRQoL outcomes at any time point. Intravenous immunoglobulin nonresponders demonstrated lower HRQoL at admission, which did not persist at follow-up. CONCLUSIONS: Children with KD experience acute and significant HRQoL impairment exceeding that of children with newly diagnosed pneumonia, but the scores return to baseline at long-term follow-up. The recoveries at short- and long-term intervals are similar to patients with pneumonia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".