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Identification of patients with type 2 diabetes with non-alcoholic fatty liver disease who are at increased risk of progressing to advanced fibrosis: a cross-sectional study

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dc.contributor.author Mettananda, C.
dc.contributor.author Egodage, T.
dc.contributor.author Dantanarayana, C.
dc.contributor.author Fernando, R.
dc.contributor.author Ranaweera, L.
dc.contributor.author Luke, N.
dc.contributor.author Ranawaka, C.
dc.contributor.author Kottahachchi, D.
dc.contributor.author Pathmeswaran, A.
dc.contributor.author de Silva, H.J.
dc.contributor.author Dassanayake, A.S.
dc.date.accessioned 2023-01-19T08:25:58Z
dc.date.available 2023-01-19T08:25:58Z
dc.date.issued 2023
dc.identifier.citation BMJ Open.2023;13(1):e063959. en_US
dc.identifier.issn 2044-6055
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/25826
dc.description Indexed in MEDLINE. en_US
dc.description.abstract INTRODUCTION: Identification of advanced hepatic fibrosis in non-alcoholic fatty liver disease (NAFLD) is important as this may progress to cirrhosis and hepatocellular carcinoma. The risk of hepatic fibrosis is especially high among patients with diabetes with NAFLD. Annual screening of patients with diabetes for fatty liver and calculation of Fibrosis-4 (FIB-4) score and exclusion of significant fibrosis with vibration-controlled transient elastography (VCTE) have been recommended. However, VCTE is expensive and may not be freely available in resource-limited settings. We aim to identify predictors of significant liver fibrosis who are at increased risk of progression to advanced liver fibrosis and to develop a prediction model to prioritise referral of patients with diabetes and NAFLD for VCTE. METHODS AND ANALYSIS: This cross-sectional study is conducted among all consenting adults with type 2 diabetes mellitus with NAFLD at the Colombo North Teaching Hospital, Ragama, Sri Lanka. All patients get the FIB-4 score calculated. Those with FIB-4 ≥1.3 undergo VCTE (with FibroScan by Echosens). Risk associations for progression to advanced liver fibrosis/cirrhosis will be identified by comparing patients with significant fibrosis (liver stiffness measure (LSM) ≥8 kPa) and without significant fibrosis (LSM <8 kPa). A model to predict significant liver fibrosis will be developed using logistic regression. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the Ethics Committee of the Faculty of Medicine, University of Kelaniya (P/66/07/2021). Results of the study will be disseminated as scientific publications in reputable journals. en_US
dc.language.iso en en_US
dc.publisher BMJ Publishing Group Ltd en_US
dc.subject Diabetes Mellitus, Type 2 en_US
dc.subject Diabetes Mellitus, Type 2-complications en_US
dc.subject Diabetes Mellitus, Type 2-pathology en_US
dc.subject Non-alcoholic Fatty Liver Disease en_US
dc.subject Non-alcoholic Fatty Liver Disease-complications en
dc.subject Non-alcoholic Fatty Liver Disease-diagnostic imaging en
dc.subject Liver-diagnostic imaging en
dc.subject Liver-pathology en
dc.subject Liver Cirrhosis-diagnostic imaging en
dc.subject Fibrosis en
dc.subject Elasticity Imaging Techniques-methods en
dc.subject Predictive Value of Tests en
dc.subject Cross-Sectional Studies en
dc.subject Prospective Studies
dc.title Identification of patients with type 2 diabetes with non-alcoholic fatty liver disease who are at increased risk of progressing to advanced fibrosis: a cross-sectional study en_US
dc.type Article en_US


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