Severe asymptomatic non-alcoholic fatty liver disease in routine diabetes care; a multi-disciplinary team approach to diagnosis and management
Year: 2013
Type: article
Study design: Observational Study
Abstract: 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 (<-1.455). 39/64 (61.0%) patients had a high or indeterminate NFS and were referred for review in the NAFLD MDT clinic, of which 23/39 attended for assessment. 19/23 (82.6%) were diagnosed with NAFLD, of which 6/19 (31.6%) patients had a positive transient elastography (≥8 kPa). Liver biopsy confirmed advanced fibrosis in 5/6 cases, with moderate fibrosis in 1 case. In the retrospective study, 65/95 (68.4%) new referrals to the NAFLD MDT clinic had a diagnosis of NAFLD. Over a median 98 days (IQR 70-182) follow-up, there was a significant improvement in weight (-0.8 kg; P = 0.024), total cholesterol (-0.2 mmol/L; P = 0.044), ALT (alanine transmaminase, -12.5 IU/L; P < 0.001) and GGT (gammu-glutamyl transferase, -13.0 IU/L; P < 0.0001). 7/28 (25%) of patients with diabetes achieved >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.
Source: QJM
DOI: 10.1093/qjmed/hct198
Authors: Matthew J. Armstrong, Jonathan M. Hazlehurst, Richard Parker, Elena Koushiappi, Jake Mann, Sheeba Khan, Angela Philips, Liz Chandler, Jill Johnson, Maria Round, Geoffrey Haydon, Mohammad A. Karamat, Philip N. Newsome, Jeremy W. Tomlinson
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Award: G7801650750
OpenAlex ID: W2097995400
