Background: Cirrhosis and its complications develop in a subgroup of patients with non-alcoholic fatty liver disease (NASH). Early detection of liver fibrosis represents an important goal of clinical care.
Aim: To test the hypothesis that the development of cirrhosis in nonalcoholic fatty liver disease patients is preceded by the long-term trends of platelet counts and Fib-4 scores.
Methods: We identified all patients in our healthcare system who had undergone fibrosis staging by liver biopsy or magnetic resonance elastography (MRE) for non-alcoholic fatty liver disease during the past decade ( = 310). Platelet counts, serum glutamic-pyruvic transaminase and serum glutamic oxalacetic transaminase values preceding the staging tests were extracted from the electronic medical record system, and Fib-4 scores were calculated. Potential predictors of advanced fibrosis were evaluated using multivariate regression analysis.
Results: Significant decreases in platelet counts and increases in Fib-4 scores were observed in all fibrosis stages, particularly in patients with cirrhosis. In the liver biopsy group, the presence of cirrhosis was best predicted by the combination of the Fib-4 score at the time closest to staging ( < 0.0001), the presence of diabetes ( = 0.0001), and the correlation coefficient of the preceding time-dependent drop in platelet count ( = 0.044). In the MRE group, Fib4 score ( = 0.0025) and platelet drop ( = 0.0373) were significant predictors. In comparison, the time-dependent rise of the Fib-4 score did not contribute in a statistically significant way.
Conclusion: Time-dependent changes in platelet counts and Fib-4 scores contribute to the prediction of cirrhosis in NASH patients with biopsy- or MRE-staged fibrosis. Their incorporation into predictive algorithms may assist in the earlier identification of high-risk patients.
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http://dx.doi.org/10.4254/wjh.v15.i2.225 | DOI Listing |
Liver Int
February 2025
Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Background And Aim: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoimmune hepatitis (AIH) is critical yet challenging. We aim to develop and validate a machine learning (ML)-based model to aid in this differentiation.
Methods: This multicenter cohort study utilised a development set from Beijing Friendship Hospital, with retrospective and prospective validation sets from 10 tertiary hospitals across various regions of China spanning January 2009 to May 2023.
Adv Appl Bioinform Chem
January 2025
Department of Information Technology, Mutah University, Al-Karak, Jordan.
Purpose: The incidence of cancer, which is a serious public health concern, is increasing. A predictive analysis driven by machine learning was integrated with haematology parameters to create a method for the simultaneous diagnosis of several malignancies at different stages.
Patients And Methods: We analysed a newly collected dataset from various hospitals in Jordan comprising 19,537 laboratory reports (6,280 cancer and 13,257 noncancer cases).
Exp Ther Med
February 2025
Department of Hematology, Etlik City Hospital, Ankara 06170, Turkey.
Whilst severe liver dysfunction is rarely encountered at the time of diagnosis for patients with acute myeloid leukemia (AML), mild elevations aminotransferase (<5 times the upper limit of normal) may be more frequently seen. Liver dysfunction at the time of diagnosis of AML is a parameter that requires investigation and can assist the clinicians in predicting prognosis. The aim of the present study was to investigate liver dysfunction at the time of diagnosis using the assoicated parameters in patients with AML.
View Article and Find Full Text PDFJ Feline Med Surg
January 2025
Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Objectives: To evaluate the associations between sex, age, breed and collection site on platelet count and platelet clumping in feline blood samples.
Methods: Cats presenting to a primary care feline hospital from January 2016 to January 2017 were recruited. Any cat undergoing blood collection for a complete blood count was eligible.
BMC Infect Dis
January 2025
Department of Dermatology, Civil Service Hospital, Kathmandu, Nepal.
Introduction: Dengue viruses cause either symptomatic infections or asymptomatic seroconversion. Symptomatic dengue has a wide clinical spectrum ranging from self-limiting infection to severe manifestations, mostly characterized by plasma leakage with or without hemorrhage. World Health Organization classification in 2009 classified dengue into dengue without warning signs, dengue with warning signs, and severe dengue.
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