Research Article Details

Article ID: A08769
PMID: 31991487
Source: Hepatology
Title: Serial Transient Elastography Examinations to Monitor Patients With Type 2 Diabetes: A Prospective Cohort Study.
Abstract: BACKGROUND AND AIMS: Type 2 diabetes is an important risk factor for nonalcoholic fatty liver disease (NAFLD) and advanced fibrosis. Current international guidelines recommend the use of noninvasive tests as initial assessments for NAFLD, but the role of noninvasive tests as monitoring tools has not been established. We aimed to study the role of transient elastography as a monitoring tool in patients with type 2 diabetes. APPROACH AND RESULTS: We recruited patients with type 2 diabetes without viral hepatitis or excessive alcohol intake from a complication screening facility in Hong Kong in 2013-2014 and repeated the assessments in 2016-2018. The primary endpoint was an increase of liver stiffness measurement (LSM) to &#8805;10&#160;kPa. The secondary endpoint was the change in the controlled attenuation parameter (CAP). A total of 611 patients with type 2 diabetes and a valid LSM (mean age, 57.7&#160;&#177;&#160;10.9&#160;years; 342 men [56.0%]) were included in this study (568 also had a valid CAP). Overall, there was moderate correlation between the baseline and follow-up LSM (r&#160;=&#160;0.689, P&#160;<&#160;0.001). Among 487 patients with a baseline LSM <10&#160;kPa, 21 (4.3%) had a follow-up LSM &#8805;10&#160;kPa. Baseline body mass index, alanine aminotransferase (ALT), and &#8710;ALT were independent factors associated with LSM increase. Among 124 patients with a baseline LSM &#8805;10&#160;kPa, 70 (56.5%) had a follow-up LSM <10&#160;kPa. Among 198 patients with a CAP <248&#160;dB/m at baseline, 103 (52.0%) had a CAP increased to &#8805;248&#160;dB/m. CONCLUSIONS: The prevalence and incidence of NAFLD in patients with type 2 diabetes are high. Although advanced fibrosis is common in this population, few patients progress to advanced fibrosis in 3&#160;years. Future studies should define the optimal surveillance interval in patients with diabetes.
DOI: 10.1002/hep.31142