Background & Aims: A cholestatic pattern of liver enzymes is associated with progressive liver disease and major adverse liver-related outcomes (MALO) among patients with Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD). We aimed to authenticate the efficacy of a newly formulated liver function test (LFT) score for distinguishing patients with cholestatic vs. hepatocellular patterns and to evaluate its prognostic utility in MASLD patients. Methods: A retrospective longitudinal study on a dataset of over 250,000 individuals diagnosed with MASLD and/or obesity with cardiovascular risk factors. Patients were categorized into cholestatic (C), mixed (M), or hepatocellular (H) patterns according to the LFT score, or the well-known R score. Long-term MALO, major adverse cardiovascular events (MACE), and all-cause mortality were tracked. Results: The LFT score excelled in differentiating patients into C, M, or H groups accurately. While about two-thirds of our cohort initially showed a low FIB4 (<1.3), patients in the C category experienced a higher incidence of MALO and MACE compared to those in the H category (0.5% vs. 0.2% and 7.1% vs. 3.6%, respectively) over the span of 10 years post-diagnosis. Additionally, the 15-year overall survival rate was notably lower for C patients compared to their H counterparts (63% vs. 77%, p<0.0001). The LFT score was more effective than the R score in distinguishing between H and C patients for prognostic purposes, and a baseline cholestatic pattern indicates poorer outcomes regardless of subsequent LFT changes. Conclusions: The LFT score accurately categorizes cholestatic MASLD patients and may serve as a useful prognostic tool.
Competing Interest StatementThe authors have declared no competing interest.
Funding StatementThis study did not receive any funding
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The analysis of the data from the Clalit Healthcare environment was under IRB approval no. #RMC-23-0322 from Rabin Medical Center, Petah-Tikva Israel.
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Data AvailabilityDue to privacy regulations and organizational policy, all data analysis from Clalit Healthcare Service (CHS) database was conducted on a secured de-identified dedicated server within the Clalit Healthcare environment. Requests for access to all or parts of the Clalit datasets will be considered by the Clalit Research authority, CHS, via a direct request to the corresponding author at: amirsh9@clalit.org.il. Requests will be considered by CHS research authority upon approval from the institutional review board of CHS and institutional guidelines, and in accordance with the current data sharing guidelines of CHS and Israeli law.
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