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Published on: April 28, 2020
Clinical Course among Cases of Acute Liver Failure of Indeterminate Diagnosis
Ruosha Li1, Steven H Belle2, Simon Horslen3
1Department of Biostatistics, University of Texas School of Public Health, Houston, TX.
Insights
Pediatric acute liver failure (PALF) shows distinct clinical trajectories in indeterminate cases. These patterns predict patient outcomes and may help diagnose the underlying cause.
Area of Science:
- Hepatology
- Pediatric Gastroenterology
- Clinical Data Science
Background:
- Pediatric acute liver failure (PALF) of unknown etiology presents a challenge in predicting clinical course.
- Understanding disease heterogeneity is crucial for effective management.
Purpose of the Study:
- To investigate distinct clinical course patterns in pediatric acute liver failure (PALF) with indeterminate etiology.
- To assess the prognostic and diagnostic value of identified trajectory patterns.
Main Methods:
- Growth mixture modeling analyzed international normalized ratio, total bilirubin, and hepatic encephalopathy trajectories over 7 days in 380 PALF patients.
- Latent subgroup classification was examined for associations with patient characteristics and outcomes.
- Data from PALF with specified etiologies were used to explore diagnostic potential.
Main Results:
- Three distinct trajectory patterns were identified: 30% mild/improving, 13% severe/improving, and 57% worsening.
- These trajectory patterns significantly predicted patient outcomes (P < .001).
- Patterns were also associated with underlying disease etiology in a separate cohort (P < .001).
Conclusions:
- Distinct clinical trajectory patterns exist in pediatric acute liver failure (PALF) of indeterminate etiology.
- These patterns hold significant prognostic value for patient outcomes.
- The identified trajectories may also offer diagnostic insights into PALF causes.
Objective:
To investigate the heterogeneity in clinical course among those with pediatric acute liver failure (PALF) of indeterminate disease etiology.
Study Design:
We studied participants enrolled in the PALF registry study with indeterminate final diagnosis. Growth mixture modeling was used to analyze participants' international normalized ratio, total bilirubin, and hepatic encephalopathy trajectories in the first 7 days following enrollment. Participants with at least 3 values for 1 or more of the measurements were included. We examined the association between the resulting latent subgroup classification with participants' characteristics and disease outcomes. Data from participants with PALF of specified etiologies were used to investigate the potential diagnostic value of the latent subgroups.
Results:
In this sample of 380 participants with indeterminate final diagnosis, 115 (30%) experienced mild and quickly improving disease trajectories and another 48 (13%) started with severe disease but improved by day 7. The majority of participants (216, 57%) had disease trajectories that worsened over time. The identified patterns of disease trajectories are predictive of outcome (P < .001). The trajectory patterns are associated with the underlying disease etiology (P < .001) for the 488 participants with PALF of specified etiologies.
Conclusions:
The clinical courses of participants with PALF of indeterminate disease etiology exhibit distinct trajectory patterns, which have important prognostic and potentially diagnostic value.
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