Literature DB >> 35486350

Reduced and more appropriate referrals of patients with type 2 diabetes using liver stiffness measurement compared to FIB-4.

William Shanahan1, Isha Bagwe2, Mary Jane Brassill2, Paud O'Regan3.   

Abstract

BACKGROUND: Fatty liver disease and fibrosis are common in patients with type 2 diabetes mellitus (T2DM). Recently published European Association for the Study of the Liver guidelines have suggested screening such patients using liver stiffness measurement (LSM) or fibrosis-4 index (FIB-4) to exclude advanced fibrosis. AIMS: We initiated a screening programme at the diabetes out-patient clinic to assess the reliability of the suggested approaches and resulting referrals.
METHODS: In this prospective study, consecutive patients attending for T2DM review at an Irish level 3 (district general) hospital between September and November 2021 were screened for liver fibrosis using LSM and had their FIB-4 calculated. The first 100 patients with valid LSM measurements were included in the analysis.
RESULTS: Referral rates to the hepatology clinic varied by modality used. If FIB-4 ≥ 1.3 criterion was used, the referral rate to the hepatology clinic was 45%; using LSM < 8 kPa to rule out advanced fibrosis resulted in 34% referral rate; using LSM ≥ 10 kPa to suggest probable compensated advanced chronic liver disease reduced referral rates to 15%. Combining FIB-4 with LSM in a two-step algorithm led to missed potentially significant liver disease in large numbers. 47% patients with LSM ≥ 8 kPa and 33% with LSM ≥ 10 kPa had FIB-4 < 1.3.
CONCLUSIONS: Screening of patients with T2DM using LSM alone rather than FIB-4 leads to reduced numbers of, and more appropriate, referrals to the hepatology clinic. Shifting from an exclusion (LSM < 8 kPa) to an inclusion based (LSM ≥ 10 kPa) approach may lessen the potential of screening to overwhelm hepatology services.
© 2022. The Author(s), under exclusive licence to Royal Academy of Medicine in Ireland.

Entities:  

Keywords:  FIB-4; Fibrosis; Liver stiffness; NAFLD; Screening; Type 2 diabetes

Year:  2022        PMID: 35486350     DOI: 10.1007/s11845-022-03019-5

Source DB:  PubMed          Journal:  Ir J Med Sci        ISSN: 0021-1265            Impact factor:   1.568


  27 in total

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