Time to Asthma-Related Readmission in Children Admitted to the ICU for Asthma*
Bibliographic record
Abstract
OBJECTIVES: To compare the time to asthma-related readmissions between children with a previous ICU hospitalization for asthma and those with a non-ICU hospitalization and to explore predictors of time to readmission in children admitted to the ICU. DESIGN: Retrospective cohort study using a pan-Canadian administrative inpatient database from April 1, 2008, to March 31, 2014. SETTING: All adult and pediatric Canadian hospitals. SUBJECTS: Children 2-17 years old with a hospitalization for asthma. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 26,168 children were hospitalized 33,304 times during the study period. The time to readmission was shorter in the ICU group compared with the non-ICU group (median time to readmission 27 mo in ICU vs 35 mo in non-ICU group). Preschool-aged children (hazard ratio, 1.48; 95% CI, 1.02-2.14) and increased length of stay (hazard ratio, 1.63; 95% CI, 1.17-2.27) were associated with a shorter time to readmission. CONCLUSIONS: Children previously admitted to the ICU for asthma had a shorter time to asthma-related readmission, compared with children who did not require intensive care, underlining the importance of targeted long-term postdischarge follow-up of these children. Children of preschool age and who have a lengthier hospital stay are particularly at risk for future morbidity.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".