Etiology and Prognostic Analysis of Acute Liver Failure in Chinese Children (EPOCH-ALF)

January 12, 2025 updated by: liyumei

Etiology and Prognostic Analysis of Acute Liver Failure in Chinese Children: a Multi-center Bidirectional Observational Cohort Study

Research Background:

Pediatric acute liver failure (PALF) refers to the sudden onset of severe liver injury in children without known chronic liver disease, leading to multi-system organ dysfunction, with a mortality rate as high as 50%-70%. The etiology of PALF is complex and varied, including infections, metabolic disorders, and toxins. In developed countries, it is often caused by drug and toxin exposure, while in developing countries, viral infections are the primary cause. Additionally, 30%-50% of PALF cases have an unknown etiology, which increases the difficulty of treatment. Current treatment options include medical management, artificial liver support, and liver transplantation. Liver transplantation is the only proven effective treatment, but issues such as organ shortages and the timing of transplantation affect treatment outcomes. Improving diagnostic capabilities for the etiology and exploring optimal treatment strategies are of significant importance in enhancing the clinical success rate of PALF management.

Research Objective:

To explore the etiology and prognostic factors of pediatric acute liver failure (PALF), analyze the relationship between different causes of PALF and prognosis, and the relationship between different treatment modalities and prognosis. This study aims to investigate the correlation between etiology, treatment methods, and outcomes, providing scientific evidence to improve the precision in diagnosis and treatment of PALF and to enhance decision-making and timing judgments for liver transplantation.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

Data were organized and analyzed using WindRays statistical software. Quantitative data that followed a normal distribution were expressed as mean ± standard deviation (x ± s), and intergroup comparisons were performed using t-tests. For non-normally distributed quantitative data, median (interquartile range) [M (P25, P75)] was used, and intergroup comparisons were conducted using the Mann-Whitney U test. Qualitative data were presented as frequencies (n) and percentages (%), with intergroup comparisons made using χ² or Fisher's exact test. Multivariate logistic and Cox regression analyses were performed to adjust for potential confounding factors in the association between PALF etiology, treatment, and prognosis. Results were presented as odds ratios (ORs) with 95% confidence intervals (CIs). A multivariate-adjusted restricted cubic spline model was constructed to examine possible non-linear dose-response relationships between PALF etiology, treatment, and prognosis. Variables were selected using stepwise regression, lasso regression, and best subset regression. Risk scoring models were established using regression analysis, nomograms, scoring systems, decision trees, and machine learning algorithms. Sensitivity analyses were conducted using propensity score matching (PSM), regression analysis, and stratified analysis. The predictive efficacy of the model for PALF prognosis was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), with AUC ≥ 0.80 indicating good predictive value. Data with missing values less than 5% were deleted directly, and data with missing values between 5% and 20% were imputed using multiple imputation methods.

Handling of lost to follow-up: Multiple contact information and emergency contacts were collected at the beginning of the study to maintain regular communication with the patients and their guardians to reduce the risk of lost follow-up. If follow-up failed, multiple attempts were made to contact participants via phone, email, or other methods. Once lost to follow-up, multiple imputation methods were used to estimate missing data, and sensitivity analyses were conducted (if possible).

Study Type

Observational

Enrollment (Estimated)

400

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Yumei Professor Li
  • Phone Number: +86 15804301227
  • Email: ym_li@jlu.edu.cn

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

  • Child
  • Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Criteria for Diagnosing Pediatric Acute Liver Failure

Description

Inclusion Criteria:

  1. According to the diagnostic criteria for PALF, the following conditions must be met:

    ① Severe biochemical liver abnormalities occurring within 8 weeks;

    ② Coagulation disorders uncorrectable by vitamin K: if hepatic encephalopathy is present, prothrombin time (PT) > 15s or international normalized ratio (INR) > 1.5; regardless of the presence of hepatic encephalopathy, PT > 20s or INR > 2.0.

  2. For patients who were admitted twice, only the information from the first hospitalization will be used.
  3. Patients with a history of chronic liver disease (e.g., genetic metabolic factors, drug-induced factors) or biliary obstruction that led to the acute episode are categorized under acute liver failure.
  4. The child's legal guardian has signed a written informed consent form.

Exclusion Criteria:

  1. Age > 18 years;
  2. Significant data missing (>10%);
  3. The child's legal guardian refuses 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
Criteria for Diagnosing Pediatric Acute Liver Failure
This study is a multi-center, nationwide, dual-perspective, observational, open cohort study. It will recruit eligible hospitalized patients from the First Hospital of Jilin University and other participating institutions across the country for observation.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Discharge Status
Time Frame: At discharge (within 1 week)

Cured:

  • Clinical symptoms such as bleeding tendency and hepatic encephalopathy disappear;

    • Jaundice resolves (TBil ≤ 2× upper limit of normal); ③ Liver function markers return to baseline; ④ PTA/INR normalizes.

Improved:

① Significant improvement in clinical symptoms like bleeding, and disappearance of hepatic encephalopathy;

  • Significant improvement in jaundice, ascites, and other physical signs; ③ Liver function markers show marked improvement (TBIL < 5× upper limit of normal, PTA > 40% or INR < 1.5).

Worsened:

No improvement in symptoms or signs of liver failure, liver function deteriorates, and complications increase or worsen.

Death or death within one week after withdrawal of treatment. Liver Transplantation.

At discharge (within 1 week)

Collaborators and Investigators

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

Sponsor

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)

February 1, 2025

Primary Completion (Estimated)

June 30, 2029

Study Completion (Estimated)

June 30, 2029

Study Registration Dates

First Submitted

January 10, 2025

First Submitted That Met QC Criteria

January 12, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

January 12, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • 24K203-001
  • ChiCTR2400089260 (Registry Identifier: Chinese Clinical Trial Register (ChiCTR))

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Due to privacy concerns and the sensitive nature of the data, we do not plan to share individual participant data with other researchers.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

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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