ArticleBMJ open2025
Does the change in Liver Frailty Index over the first week of hospitalisation predict mortality in patients with acute-on-chronic liver failure? A prospective cohort study from a Slovak liver centre.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Beyond the Tipping Point: Advances in the Diagnosis and Management of Acute-on-Chronic Liver Failure and End-Stage Liver Disease.Diagnostics (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveHospital admissions for advanced chronic liver disease (ACLD) are associated with increased mortality, disability, a decline in quality of life and significant economic costs. Being admitted to the hospital usually indicates a triggering event that disrupted a previously stable condition, leading to decompensation or complications of ACLD. The most acute and severe manifestation of this imbalance is acute-on-chronic liver failure (ACLF), a syndrome representing a critical juncture. Reliable prognostic stratification of patients admitted with ACLF could facilitate the systematic delivery of tailored care, ranging from palliative care to intensive interventions like extracorporeal liver support devices and prioritised liver transplantation. Disease-specific prognostic tools, such as the Model for End-Stage Liver Disease score, are effective but have limitations, particularly in reflecting a patient's potential for recovery. The concept of the body's functional reserve in the context of ACLD/ACLF is gaining attention, with the Liver Frailty Index (LFI) potentially emerging as a recommended diagnostic tool.
methodsPatients were selected from our cirrhosis registry (RH7). The LFI serves as an indicator of the patient's prognosis. The LFI measurement takes place at two time intervals: on the patient's admission and after 7 days of hospitalisation.
resultsOur RH7 registry included 154 patients (15.1%) who were diagnosed with ACLF. The primary cause of the underlying ACLD was alcohol-associated liver disease in the majority (79.8%) of cases. The mean value of LFI at admission was 4.50 (± 0.94). When patients with liver cirrhosis were categorised into three subgroups based on the LFI on day 7, survival exhibited a statistically significant decrease (p≤0.05) across all three ACLF grades. This decline in survival was observed from the 'improved LFI' cohort, through the 'stable LFI' group, to the 'worsened LFI' group.
conclusionThe impact of day 7 LFI on the survival of patients with ACLF is notable. Nevertheless, it does not markedly enhance the predictive capability of the LFI assessed on admission. Consequently, the initial LFI on day 1 continues to be the most valuable and commonly used instrument for promptly recognising individuals with ACLF.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.