Evaluating Novel Scoring Systems to Predict Outcomes in Acute-on-Chronic Liver Failure

July 25, 2026 updated by: Rehab Hassan Abdel-hafiz Hassan, Assiut University

Evaluation of Novel Scores for Prediction of Outcomes in Patients With Acute-on-Chronic Liver Failure

Acute-on-chronic liver failure (ACLF) is a serious condition where a patient with long-term liver disease suddenly experiences severe liver worsening and failure of other organ systems, such as the kidneys or lungs. ACLF is associated with a high risk of short-term death, making early and accurate prediction of patient outcomes essential for guiding medical decisions.

Conventional scoring systems, such as the Child-Pugh and Model for End-Stage Liver Disease Sodium (MELD-Na) scores, are widely used to assess liver disease severity. However, these traditional models may not fully capture the intense systemic inflammation and multiorgan failure characteristic of ACLF. Recently, novel prognostic scoring models, specifically the CLIF-C ACLF-D score and the MELD-complication score, have been developed to better predict patient outcomes by integrating markers of inflammation, organ dysfunction, and clinical complications.

This study aims to evaluate and validate the clinical usefulness of these novel scoring models compared to conventional scores in predicting in-hospital and 28-day mortality among patients admitted with ACLF.

Participants enrolled in this prospective observational study will be recruited from the Intensive Care Unit (ICU) of the Tropical Medicine and Gastroenterology Department at Al-Rajhi University Hospital. Upon admission, participants will undergo routine clinical examinations, laboratory testing, and imaging. The various risk scores will be calculated at baseline. Participants will be monitored throughout their hospital stay, and their survival status will be followed for 28 days after admission to compare the accuracy of each scoring system.

Study Overview

Detailed Description

Acute decompensation in liver cirrhosis is the primary cause of hospitalization among cirrhotic patients. Acute-on-chronic liver failure (ACLF) represents a distinct, severe clinical entity characterized by systemic inflammation, single- or multiple-organ failures, and high short-term mortality. While traditional scoring systems like the Child-Pugh and Model for End-Stage Liver Disease Sodium (MELD-Na) scores are routinely utilized, they may fail to capture the complex inflammatory response and multiorgan involvement inherent to ACLF.

To improve prognostic estimation, novel predictive tools, including the CLIF-C ACLF-D score and the MELD-complication score, have been introduced, incorporating inflammatory parameters and complication markers. Validation of these prognostic models across distinct patient populations is necessary prior to broad implementation. This study evaluates the prognostic performance of these novel models in patients with ACLF admitted to the Intensive Care Unit (ICU).

All enrolled participants will undergo systematic evaluation upon admission:

  1. Clinical and Demographic Assessment: Full patient history (demographics, etiology of underlying chronic liver disease, previous episodes of decompensation, drug history) and comprehensive physical examination (vital signs, grade of hepatic encephalopathy, jaundice, asterixis, edema, and clinical signs of infection or ascites/pleural effusion).
  2. Laboratory Diagnostics: Complete blood count with differential, liver function tests (total and direct bilirubin, serum albumin), renal function parameters (serum creatinine, blood urea nitrogen), coagulation profile (prothrombin time, INR), serum electrolytes (sodium, potassium), C-reactive protein (CRP), arterial blood gas analysis, viral hepatitis markers (HBsAg, anti-HCV), ascitic fluid analysis (if applicable), and biological cultures from suspected infectious foci.
  3. Imaging: Abdominal ultrasonography (evaluating hepatic architecture, portal vein parameters, splenic dimensions, collateral circulation, biliary structure, renal status, ascites) and chest radiography.
  4. Scoring Calculation: Baseline risk scores-including Child-Pugh, MELD-Na, CLIF-C OF, CLIF-C ACLF, CLIF-C ACLF-D, and MELD-complication scores-will be calculated at admission using standard mathematical formulas and validated online platforms.

Participants will be followed throughout their hospital stay and up to 28 days following admission. Survival outcomes will be confirmed in-hospital or post-discharge via telephone follow-up or clinical visits.

Study Type

Observational

Enrollment (Estimated)

100

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

Patients diagnosed with Acute-on-Chronic Liver Failure (ACLF) according to the EASL-CLIF diagnostic criteria who are admitted to the Intensive Care Unit (ICU) of the Tropical Medicine and Gastroenterology Department at Al-Rajhi University Hospital.

Description

Inclusion Criteria:

  • Patients aged 18 years or older.
  • Diagnosed with Acute-on-Chronic Liver Failure (ACLF) fulfilling the diagnostic criteria according to EASL-CLIF.
  • Admitted to the Intensive Care Unit (ICU) of the Tropical Medicine and Gastroenterology Department, Al-Rajhi University Hospital.

Exclusion Criteria:

  • Patients with hepatocellular carcinoma.
  • Patients with advanced extrahepatic malignancy.
  • Pregnant females.
  • Patients younger than 18 years old.
  • Patients with incomplete clinical or laboratory data.
  • Patients or first-degree relatives refusing participation.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
ACLF Patients
Patients aged 18 years or older diagnosed with Acute-on-Chronic Liver Failure (ACLF) according to EASL-CLIF criteria and admitted to the Intensive Care Unit of the Tropical Medicine and Gastroenterology Department at Al-Rajhi University Hospital. All patients will undergo full clinical, laboratory, and radiological evaluations at baseline, followed by calculation of novel (CLIF-C ACLF-D, MELD-complication) and conventional (Child-Pugh, MELD-Na, CLIF-C ACLF) prognostic scores to predict short-term outcomes.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
28-Day All-Cause Mortality Rate
Time Frame: 28 days post-hospital admission
Percentage of participants with Acute-on-Chronic Liver Failure (ACLF) who die from any cause within 28 days following hospital admission. Survival status will be evaluated during the hospital stay and confirmed post-discharge via clinic visits or telephone follow-up.
28 days post-hospital admission

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
In-Hospital All-Cause Mortality Rate
Time Frame: From date of hospital admission up to hospital discharge, assessed up to 28 days
Percentage of participants with Acute-on-Chronic Liver Failure (ACLF) who die from any cause during their hospital stay.
From date of hospital admission up to hospital discharge, assessed up to 28 days
Prognostic Performance of the CLIF-C ACLF-D Score for 28-Day Mortality
Time Frame: Baseline (day 1 of admission) up to 28 days
Predictive accuracy of the novel CLIF-C ACLF-D score measured by the Area Under the Receiver Operating Characteristic Curve (AUROC) to predict 28-day all-cause mortality.
Baseline (day 1 of admission) up to 28 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

August 1, 2026

Primary Completion (Estimated)

August 1, 2027

Study Completion (Estimated)

September 1, 2027

Study Registration Dates

First Submitted

July 25, 2026

First Submitted That Met QC Criteria

July 25, 2026

First Posted (Actual)

July 29, 2026

Study Record Updates

Last Update Posted (Actual)

July 29, 2026

Last Update Submitted That Met QC Criteria

July 25, 2026

Last Verified

July 1, 2026

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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