Association between liver stiffness measurement by transient elastography and chronic kidney disease. Issue 4 (28th January 2022)

• Record Type: Journal Article
• Authors: Chan, Ya-Ju; Chang, Shy-Shin; Wu, Jenny L.; Wang, Sen-Te; Yu, Cheng-Sheng
• Editors: Niknamian., Sorush
• Is Part Of: Medicine. Volume 101:Issue 4(2022)
• Page Start: e28658
• Publication Date: 2022-01-28
• Subjects: chronic kidney disease -- Fibroscan -- liver fibrosis -- liver stiffness measurement -- transient elastography; Medicine -- Periodicals; Medicine -- Periodicals; Médecine -- Périodiques; Geneeskunde; Medicine; Periodicals; Periodicals; 610.5
• DOI: 10.1097/MD.0000000000028658
• Languages: English
• ISSNs: 0025-7974

Abstract

Abstract : Abstract: Transient elastography or elastometry (TE) is widely used for clinically cirrhosis and liver steatosis examination. Liver fibrosis and fatty liver had been known to share some co-morbidities that may result in chronic impairment in renal function. We conducted a study to analyze the association between scores of 2 TE parameters, liver stiffness measurement (LSM) and controlled attenuation parameter (CAP), with chronic kidney disease among health checkup population. This was a retrospective, cross-sectional study. Our study explored the data of the health checkup population between January 2009 and the end of June 2018 in a regional hospital. All patients were aged more than 18 year-old. Data from a total of 1940 persons were examined in the present study. The estimated glomerular filtration rate (eGFR) was calculated by the modification of diet in renal disease (MDRD-simplify-GFR) equation. Chronic kidney disease (CKD) was defined as eGFR < 60 mL/min/1.73 m 2 . The median of CAP and LSM score was 242, 265.5, and 4.3, 4.95 in non-CKD (eGFR > 60) and CKD (eGFR < 60) group, respectively. In stepwise regression model, we adjust for LSM, CAP, inflammatory markers, serum biochemistry markers of liver function, and metabolic risks factors. The P value of LSM score, ALT, AST, respectively is .005, <.001, and <.001 in this model. The LSM score is an independent factor that could be used to predict renal function impairment according to its correlation with eGFR. This result can further infer that hepatic fibrosis may be a risk factor for CKD.