Hepatorenal Syndrome: direct treatment costs and characteristics of patients admitted to intensive care
Bibliographic record
Abstract
BACKGROUND: Hepatorenal Syndrome is a potentially reversible syndrome of endstage cirrhosis. It is a severe complication of cirrhosis that involves a high mortality rate and a significant economic impact on the healthcare system. This study shows the costs of the resources used for disease management and complications to be Int$14,189. Quantifying this figure contributes to an understanding of the economic impact of Hepatorenal Syndrome on patient survival. OBJECTIVE: The purpose of this study was to describe the direct medical costs incurred in Brazil for the treatment of Hepatorenal Syndrome in intensive care and intermediate therapy care units, and to investigate the impact of this syndrome on patient survival. METHODS: This longitudinal observational retrospective study included patients with Hepatorenal Syndrome admitted to the intensive and intermediate therapy care units of a public tertiary hospital. The cost generated by each patient was the sum of the direct costs and overheads. RESULTS: Forty-four patients with 49 episodes of suspected Hepatorenal Syndrome were analyzed, 73% male, with a mean age of 55 years (SD= 11). Diagnosis was presumed in 21 episodes (43%), because not all of the Ascites International Club's criteria were met. Alcoholic cirrhosis was the main etiology (43%); 59% of the patients were Child-Pugh Class C at admission, with a mean (SD) model for end-stage liver disease score of 24.6 (8). Seventy-seven percent of the patients died, 32% from multiple organ failure, 29% of septic shock and 27% of hypovolemic shock. The median (IQR) of the total treatment cost for each patient was Int$14,819 (8,732-23,854). The median (IQR) length of intensive care unit stay in intensive care was 11 days (7-19). Patients with a presumed diagnosis did not have a higher hospitalization cost (p=0.249) than those with true Hepatorenal Syndrome. CONCLUSION: The treatment of Hepatorenal Syndrome represents a significant cost, and new resource allocation in strategic areas, such as the treatment and monitoring of patients with cirrhosis, is necessary to improve their outcomes. BACKGROUND: ■ The treatment of Hepatorenal Syndrome places a huge economic burden on healthcare systems. BACKGROUND: ■ Cost analysis studies of Hepatorenal Syndrome management can help to rationally allocate resources in healthcare. BACKGROUND: ■ Timely diagnosis and management of Hepatorenal Syndrome may reduce mortality, resource utilization and costs.
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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 | 0.005 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".