Perioperative medicine & outcomes

Cardiac Biomarkers and Risk Stratification in Liver Transplantation for Acute-on-chronic Liver Failure: Refining Current Risk Models for Improved Prediction of Posttransplant Mortality

AnesthesiologyPublished Retrospective cohort study

Authors' conclusion

Cardiac impairment is prevalent in patients with ACLF and crucial for risk stratification. Integrating cardiac biomarkers into ACLF risk models improves survival predictions after liver transplant

Study context

Population
Consecutive patients with acute-on-chronic liver failure (ACLF) undergoing liver transplant, ASAN-Liver Transplant Registry, 2008–2019
Participants
710 patients
Exposure
Sundaram ACLF-Liver Transplant-Mortality (SALT-M)_ CARDIAC score vs original SALT-M score
Outcome
Mortality after liver transplant (optimism-corrected C-index)
Follow-up
30 days
Methodological detailsregistry-based, risk model development
  • Registry-based
  • Risk model development

Main finding

As reported in the abstract

Optimism-corrected C-index for 30-day mortality

SALT-M_ CARDIAC

0.76

SALT-M

0.73

P < 0.001

Observational data: associations, not effects.

Further findings

BNP >400 pg/ml (suggestive of acute HF)

hsTnI >10-fold upper limit

C-index for 30-day mortality with cardiac biomarkers added

NACSELD-ACLF: from 0.68 to 0.75
Chronic Liver Failure Consortium-Organ Failure: from 0.72 to 0.75

Feature importance (Shapley Additive exPlanations)

BNP and high-sensitivity troponin I (hsTnI) important predictors of mortality after liver transplant

Original publication

Cardiac Biomarkers and Risk Stratification in Liver Transplantation for Acute-on-chronic Liver Failure: Refining Current Risk Models for Improved Prediction of Posttransplant Mortality. Anesthesiology. Published 10 September 2025. doi:10.1097/aln.0000000000005747

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.