Factors associated with the high cost of liver transplantation in adults.
Bibliographic record
Abstract
OBJECTIVES: To determine the overall direct cost of liver transplantation in Canadian adults and to identify the factors that are associated with high cost. METHODS: The direct cost of liver transplantation from the perspective of third-party payers was determined in a retrospective analysis of data from hospital charts and databases. A consecutive series of 119 adults who underwent liver transplantation between 1991 and 1992 was followed from the date of listing for transplantation to the second anniversary of the transplant. Patient-specific services during the pre-transplantation, transplantation and post-transplantation phases were compiled and costed. The primary consideration was the impact of complications on the cost of transplantation. Secondary considerations were the impact of age, sex of the patient, diagnosis and severity of liver disease on the total cost. RESULTS: The overall mean measured cost of liver transplantation was Can$89,066 (range from Can$30,505-Can$690,431). The multivariate logistic regression model for overall costs revealed that severe liver disease (OR = 11.97), cytomegalovirus infection (OR = 6.12), additional operative procedure (OR = 4.22) and biliary complications (OR = 5.00) were associated with an increased likelihood of high cost. The addition of services that were not measured in the present analysis increased the total overall cost to a mean of $121,732 (1998 Canadian dollars, follow-up costs discounted and inflation adjusted). INTERPRETATION: The factors that were associated with high cost of liver transplantation in Canadian adults were advanced liver disease, postoperative cytomegalovirus infection, the requirement for additional operative procedures and biliary complications.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".