Jul 2026· European Open Science Space· pp. 186-196· 0 citations
TL;DR
The available evidence regarding sequential non-invasive fibrosis assessment and a liver-kidney risk-stratification strategy that could be integrated for general clinical practice are reviewed to suggest a liver-kidney risk-stratification strategy that could be integrated for general clinical practice.
Abstract
Patients with obesity, type 2 diabetes, hypertension, dyslipidaemia and chronic
kidney disease (CKD) are commonly observed with metabolic dysfunction-associated
steatotic liver disease (MASLD). It is very important not only to detect the presence of steatosis but also to be able to identify advanced fibrosis and a definition of kidney and
cardiometabolic risk.
Objectives: To review the available evidence regarding sequential non-invasive
fibrosis assessment and to suggest a liver-kidney risk-stratification strategy that could
be integrated for general clinical practice.
Methods: A focused diagnostic evidence review was performed in
PubMed/MEDLINE, the Cochrane Library, as well as official resources from EASL,
AASLD, AGA and KDIGO. The eleven guidelines, consensus documents, metaanalyses,
and large prospective studies were synthesized narratively without
attempting to perform a statistical pooling because there was heterogeneity of tests,
thresholds, reference standards, and outcomes.
Results: Vibration-controlled transient elastography was more accurate at
detecting advanced fibrosis than FIB-4 (area under the receiver operating characteristic
curve 0.85 vs. 0.76, respectively) in an individual-patient-data meta-analysis. A
sequential FIB-4 and elastography thresholds of 66% sensitivity and 86% specificity
were achieved, leaving 33% of patients as candidates for biopsy [6]. Higher all-cause
mortality was found to be associated with more severe liver fibrosis (F4 fibrosis) (HR
3.9, 95% CI 1.8-8.4) [7]. In observational cohorts, separately, fatty liver disease was
found to be associated with incident CKD (HR 1.43, 95% CI 1.33-1.54) [9].
Discussion: FIB-4 should be used as a triage test, not as a diagnosis. The interpretation
of secondary fibrosis testing, eGFR and UACR should be used in combination to
inform the level of referral, surveillance and organ protection management.
Metabolic dysfunction-associated steatotic liver disease with increased alcohol consumption (MetALD) is a newly defined category within the spectrum of steatotic liver disease. It captures patients who have both cardiometabolic risk factors and alcohol intake above the thresholds accepted for metabolic dysfunction-asso...
What is this summary about?Metabolic dysfunction–associated steatotic liver disease, or MASLD, and its severe form, metabolic dysfunction–associated steatohepatitis, or MASH, impose significant global burdens on patients and healthcare systems. It is important to identify people with MASLD and MASH, as these conditio...
Marcelo Kugelmas, Ariana M. Chao· Postgraduate medicine· 0 citations
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of chronic liver disease worldwide and includes a spectrum ranging from simple steatosis to metabolic dysfunction-associated steatohepatitis (MASH), advanced fibrosis, and cirrhosis. Given the heterogeneous nature of disease progressi...
Elisa Marin-Couture, F. Lajeunesse-Trempe, Georgios K. Dimitriadis et al.· Critical reviews in clinical...· 0 citations
AIM
Although steatotic liver disease (SLD) has been associated with chronic kidney disease (CKD), it remains unclear whether CKD-related outcomes are driven by hepatic steatosis itself or by accompanying cardiometabolic abnormalities. We investigated the relative contribution of hepatic steatosis and cardiometabolic ri...
AIMS
Adults with obesity are at increased risk of metabolic dysfunction-associated steatotic liver disease (MASLD)-related fibrosis, but the diagnostic performance of non-invasive tests (NITs) in this population remains uncertain. This meta-analysis evaluated NITs for detecting significant (≥F2) and advanced (≥F3) fibr...
Patricia M. Ortega, L. Sabatella, P. Manousou et al.· Diabetes, obesity and metabo...· 0 citations