Publications by authors named "J Lubel"

Background And Aims: Controversy remains whether the mortality risk in people with fatty liver disease (FLD) including metabolic-(dysfunction) associated steatotic liver disease (MASLD) and metabolic-(dysfunction) associated fatty liver disease (MAFLD) is higher than observed in those without FLD. We aimed to determine the mortality rate and mortality rate ratio (MRR) for these FLDs.

Methods: The study population was a randomly selected cohort of community-dwelling adults in regional Victoria, Australia between 2001 and 2003 with sufficient data evaluable for Fatty Liver Index and determination on alcohol consumption.

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There is significant variation in HCC management across different centers with poor adherence to evidence-based clinical practice guidelines as assessed in prior studies. In Australia, quality indicators (QIs) have recently been proposed by a multidisciplinary group of experts to help provide a framework to assess and monitor the quality of HCC care. In this review, we discuss the many areas where real-world practice deviates from evidence-based medicine, the role that QI sets play in addressing this gap, and the similarities and differences between Australian QIs and other leading treatment guidelines and QI sets from around the world.

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The impact of metabolic dysfunction-associated steatotic liver disease (MASLD), the preferred nomenclature for NAFLD, on cardiovascular health and mortality among older adults is uncertain. As such, we aimed to identify whether MASLD increases the risk of Major Adverse Cardiovascular Events (MACE) (a composite of fatal coronary heart disease [excluding heart failure], nonfatal myocardial infarction, or fatal or nonfatal ischemic stroke), Atrial Fibrillation (AF), or all-cause mortality in older adults, and whether aspirin attenuates these risks in individuals with MASLD. This is a non-prespecified post-hoc analysis of the ASPREE (ASPirin in Reducing Events in the Elderly) randomized trial.

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Background And Aims: Risk factors of chronic hepatitis B (CHB) immune flares are poorly understood. The primary aim of this study was to discover predictors of the CHB flare in non-cirrhotic, untreated CHB patients and develop a simple risk-stratifying score to predict the CHB flare. The secondary aim was to compare different machine learning methods for prediction.

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Background And Aim: The validity of non-invasive tests (NITs) of liver fibrosis for the prediction of liver and mortality outcomes in an Australian cohort is unknown. We aimed to verify the utility of available NITs to predict overall and cause-specific mortality and major adverse liver outcome (MALO).

Methods: This was an analysis from the Crossroads 1 clinic sub-study of a randomly sampled adult cohort from regional Australia between 2001 and 2003.

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