Liver surface nodularity and ascites are associated with mortality risk in acute alcohol-associated hepatitis

Alex Miller1, Benjamin Carney1, Shivani Shah1

  • 1Gastroenterology and Hepatology, University of California Davis School of Medicine, Sacramento, California, USA.

Insights

Liver surface nodularity (LSN) on CT scans can predict survival in alcohol-associated hepatitis (AH). High LSN indicates portal hypertension and is linked to worse outcomes, improving prognostic models.

Area of Science:

  • Hepatology
  • Radiology
  • Medical Prognostics

Background:

  • Acute alcohol-associated hepatitis (AH) has a high mortality rate.
  • Liver surface nodularity (LSN) is a validated prognostic indicator in chronic liver diseases.
  • The prognostic value of LSN in AH requires further investigation.

Purpose of the Study:

  • To investigate the association between CT-derived liver surface nodularity (LSN) and disease severity in patients with AH.
  • To determine if LSN can predict 180-day transplant-free survival in AH.
  • To evaluate the utility of LSN as a prognostic biomarker in AH.

Main Methods:

  • Adult patients hospitalized with AH and available CT scans were retrospectively analyzed.
  • Quantitative measurement of LSN was performed using specialized software.
  • Cox regression, logistic regression, and AUROC analyses were employed to assess the relationship between LSN and survival outcomes.

Main Results:

  • Patients with high LSN exhibited increased signs of portal hypertension, including encephalopathy and ascites.
  • High LSN, ascites, and MELD score were independently associated with decreased 180-day transplant-free survival.
  • An integrated score (AHRADS) combining LSN and ascites improved the prediction of 180-day survival compared to MELD alone.

Conclusions:

  • CT-derived liver surface nodularity (LSN) is a significant radiographic biomarker for predicting 180-day transplant-free survival in patients with AH.
  • The presence of ascites on CT scans is also a key radiographic predictor of survival in AH.
  • Integrating LSN and ascites into prognostic models enhances their accuracy for patients with AH.
Abstract