ArticleHepatology international2021
Acute liver failure in Budd-Chiari syndrome and a model to predict mortality.
Article in Hepatology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Budd-Chiari Syndrome: Presentation, Management, and Prognosis.The American journal of gastroenterology · 2026Review
- Comparative pathophysiological modeling: the advantage of "two-hit" over "one-hit" in acute liver failure studies.In vitro cellular & developmental biology. Animal · 2026Article
- Ultrasound Characteristics of Budd-Chiari Syndrome: A Multicenter Analysis.Digestive diseases (Basel, Switzerland) · 2026Article
- Machine learning-based algorithms for the prediction of 90-day survival in patients with liver failure receiving artificial liver therapy.Frontiers in physiology · 2025Article
- Outflow obstruction after living donor liver transplantation managed with a temporary vena cava filter: A case report.International journal of surgery case reports · 2023Article
- Budd-Chiari Syndrome Imaging Diagnosis: State of the Art and Future Perspectives.Diagnostics (Basel, Switzerland) · 2023Review
- Progress on clinical prognosis assessment in liver failure.Liver research (Beijing, China) · 2023Review
- Hepatic Venous Outflow Tract Obstruction: Causes, Natural History, and Treatment.Clinical liver disease · 2021Review
- Liver Transplantation for Acute Liver Failure- Indication, Prioritization, Timing, and Referral.Journal of clinical and experimental hepatologyReview
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveAcute liver failure (ALF) occurs in approximately 1-2% of patients with Budd-Chiari syndrome (BCS). The primary objective of our study was to study the outcome of patients with BCS-ALF using the National Inpatient Sample (NIS) database and develop a mortality prediction model.
designWe identified all adult patients with BCS, with and without ALF, using ICD-9 or ICD-10. Using clinical variables, we identified risk factors for in-hospital mortality and developed a prediction model using logistic regression analysis. The model was built and validated in a training and validation datasets.
resultsBetween 2008 and 2017, of the estimated total of 5,306 (weighted sample size 26,110) BCS discharges, 325 (6.1%) patients (weighted sample size 1,598) presented with ALF. Of 325 BCS-ALF patients, 114 (34.7%, weighted n = 554) died and in contrast only 267 of 4,981 (5%, weighted n = 1310) without ALF died during the hospitalization. The independent risk factors that predicted mortality were age 50 years or older, acute respiratory failure, spontaneous bacterial peritonitis, sepsis and cancers. The prediction model that incorporated these risk factors had an area under the receiver operating characteristic curve (AUROC) of 0.85 (95% CI 0.80-0.90) for training data and 0.80 (95% CI 0.71-0.89) for validation data. The predicted mortality risk with low (score < 6), intermediate (score 6-16), and high risk (score ≥ 17) scores were 8%, 37% and 71%, respectively.
conclusionALF due to BCS is associated with a very high in-hospital mortality that could be predicted with reasonable accuracy.
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