Direct Health Care Costs, Health Services Utilization, and Outcomes of Biliary Atresia
Bibliographic record
Abstract
OBJECTIVES: Biliary atresia (BA) is the most common reason for liver transplant in childhood, and outcomes worsen with older age at hepatoportoenterostomy (HPE). We determined direct health care costs in children with BA, compared to controls in a population-based cohort of children in Ontario, Canada. METHODS: We used health administrative data to identify all children diagnosed with BA between 2002 and 2016 (n = 121) and matched controls (n = 602). We determined annual direct healthcare costs, and rates of health services utilization, liver transplantation, death, portal hypertension, cirrhosis, esophageal varices, and major upper gastrointestinal bleeding requiring hospitalization. Multivariable regression models determined the association between age at HPE, risk of liver transplant, and direct costs. RESULTS: Incidence of BA was 6.07 (4.99-7.15) per 100,000 live births. The annual median (interquartile range) direct health care costs were higher in BA cases ($4210; interquartile range $1091-$16,765) compared to controls ($283; $112-$634). Compared to age at HPE <45 days, there was no significant association between direct costs and HPE ≥90 days (rate ratio 1.24, 95% confidence interval [CI] 0.78-1.97) or 45 to 90 days (rate ratio 1.05, 95% CI 0.73-1.50). Age at HPE ≥90 days was significantly associated with risk of undergoing liver transplant compared to age <45 days (hazard ratio 5.27, 95% CI 2.45-11.34). Direct costs were higher in patients with BA who underwent liver transplantation compared to those who did not ($39,476±$84,367 vs $22,579 ± $67,913). CONCLUSIONS: Direct ealth care costs were high in patients with BA, especially in those who underwent liver transplantation. Age at HPE was associated with risk of liver transplantation, but not direct health care costs, utilization, or other risk outcomes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".