Severe asymptomatic non-alcoholic fatty liver disease in routine diabetes care; a multi-disciplinary team approach to diagnosis and management
| Autor: | Geoffrey Haydon, Elena Koushiappi, Philip N. Newsome, Angela Philips, Richard D. Parker, Jeremy W. Tomlinson, Sheeba Khan, Maria Round, Jonathan Hazlehurst, Jake P. Mann, Liz Chandler, Jill Johnson, Matthew J. Armstrong, Mohammad A. Karamat |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Adult
Male medicine.medical_specialty Biopsy Type 2 diabetes Severity of Illness Index Asymptomatic Non-alcoholic Fatty Liver Disease Diabetes mellitus Internal medicine medicine Humans Prospective Studies Prospective cohort study Secondary Care Centers Aged Patient Care Team medicine.diagnostic_test business.industry Fatty liver Retrospective cohort study General Medicine Middle Aged medicine.disease Original Papers digestive system diseases Surgery Fatty Liver Diabetes Mellitus Type 2 England Liver Liver biopsy Elasticity Imaging Techniques Female medicine.symptom Transient elastography business |
| DOI: | 10.1093/qjmed/hct198 |
| Popis: | OBJECTIVES: To prospectively use a non-invasive algorithm to identify asymptomatic, advanced non-alcoholic fatty liver disease (NAFLD) in a secondary care diabetes clinic and to determine the short-term effect of a multi-disciplinary team (MDT) approach in a liver clinic. RESEARCH DESIGN AND METHODS: NAFLD Fibrosis Score (NFS) was calculated in 64 asymptomatic patients with type 2 diabetes. Advanced fibrosis was identified using transient elastography and confirmed with liver biopsy. In a subsequent retrospective study, 95 patients newly referred to the NAFLD MDT clinic were investigated and the impact of the MDT approach assessed. RESULTS: 25/64 (39.0%) of patients with diabetes had a low NFS (5% weight loss. CONCLUSIONS: A significant proportion of asymptomatic patients attending type 2 diabetes clinics have undiagnosed advanced NAFLD fibrosis. An MDT approach to NAFLD results in short-term improvements in metabolic and liver parameters. |
| Databáze: | OpenAIRE |
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