Clinical predictors of silent but substantial liver fibrosis in primary Sjogren’s syndrome

Sang Won Lee, Beom Kyung Kim, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Jungsik Song, Yong Beom Park, Soo Kon Lee, Kwang Hyub Han, Seung Up Kim

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Objectives: To investigate the prevalence and the predictors of silent but substantial liver fibrosis in patients with primary Sjogren’s syndrome (pSS). Methods: We enrolled 101 pSS patients with normal liver function and structures, and without significant liver diseases or other conditions affecting liver fibrosis. The European league against rheumatism (EULAR) SS patients reported index (ESSPRI) and the EULAR SS disease activity index (ESSDAI) were analyzed. Liver stiffness (LS) was measured using transient elastography and 7.4 kPa was determined as the cutoff value for significant liver fibrosis. Results: The median age of patients (91women) was 53 years and the median LS value was 4.7 kPa. The median ESSPRI and ESSDAI showed no correlation with LS values. Twelve patients (11.9%) had significant liver fibrosis. In multivariate logistic regression, white blood cells count ≤4000.0/mm3 (Odds ratio [OR] 9.821), serum albumin ≤3.8 mg/dL (OR 16.770) and aspartate aminotransferase (AST) ≥ 27.0 IU/L (OR 20.858) independently predicted silent but substantial liver fibrosis in pSS patients. Conclusions: The prevalence of silent but substantial liver fibrosis was 11.9% in pSS and its predictors were leukopenia, decreased serum albumin and increased AST levels.

Original languageEnglish
Pages (from-to)576-582
Number of pages7
JournalModern Rheumatology
Volume26
Issue number4
DOIs
Publication statusPublished - 2016 Jul 3

Bibliographical note

Publisher Copyright:
© 2015 Japan College of Rheumatology.

All Science Journal Classification (ASJC) codes

  • Rheumatology

Fingerprint

Dive into the research topics of 'Clinical predictors of silent but substantial liver fibrosis in primary Sjogren’s syndrome'. Together they form a unique fingerprint.

Cite this