Observational studyEinstein (Sao Paulo, Brazil)2025
Hepatorenal Syndrome: direct treatment costs and characteristics of patients admitted to intensive care.
Observational study in Einstein (Sao Paulo, Brazil), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatorenal 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.
objectiveThe 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.
methodsThis 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.
resultsForty-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.
conclusionThe 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.