Use of noninvasive fibrosis calculators in an urban diabetes center suggests a large burden of undetected advanced liver disease.

Abstract

Background: Metabolic dysfunction associated steatotic liver disease (MASLD) is prevalent in up to 60% of patients with type 2 diabetes mellitus (T2DM). T2DM accelerates the risk of hepatic fibrosis and hepatocellular carcinoma in patients with MASLD. Our goal in this study was to identify patients with suspected MASLD and hepatic fibrosis in a large T2DM clinic by using noninvasive fibrosis scoring systems.

Methods: We conducted a retrospective study of patients with T2DM seen by our endocrinologists at the Medical Faculty Associates (MFA) Diabetes Center in Washington, DC, from November 1, 2021, until November 1, 2022. We included all subjects who were over 18 years old with a hemoglobin A1c (HbA1c) of 6.5 or higher. Patients with a history of significant alcohol consumption, decompensated cirrhosis, previous bariatric surgery, or prior chronic liver disease were excluded from the study. We identified patients at risk for hepatic fibrosis by using the Fibrosis-4 (FIB-4) Index, NAFLD Fibrosis Score (NFS) and AST to Platelet Ratio Index (APRI) when lab values were available.

Results: A total of 1,411 patients were evaluated for T2DM by an endocrinology provider during the one-year period. Out of these, 336 patients met one or more of the exclusion criteria, leaving a total of 1075 patients included in the analysis. The majority were African American (n = 582, 54%), 261 were Caucasian (24.3%), and 85 were Hispanic (7.9%). Most patients were females (n = 675, 62.7%). The mean HbA1c was 8.1 ± 2.3. 643 patients (59.8%) were insulin dependent. Based on FIB-4 scores, we found that 35 (3.9%) patients had a score of > 2.67 associated with advanced fibrosis and 257 (29%) patients with scores of 1.3-2.67 had moderate fibrosis. Using the NFS calculator, there were 281 (28%) patients with values of > 0.675 consistent with F3-F4 disease. 715 (71.8%) patients with values of < 0.675 consistent with F0-F2 fibrosis. A total of 6(< 1%) patients met criteria for advanced fibrosis by APRI scoring.

Conclusion: In our urban Diabetes Center, utilizing the NFS calculator may detect many patients with advanced liver disease. Further research is needed to ensure the internal validity of the non-invasive tests in predicting liver fibrosis and to correlate these findings with transient elastography and other imaging evidence of fatty liver disease.

Clinical trial number: Non-applicable.