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Association between liver stiffness measurement by transient elastography and chronic kidney disease
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 betw...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797510/ https://www.ncbi.nlm.nih.gov/pubmed/35089208 http://dx.doi.org/10.1097/MD.0000000000028658 |
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author | Chan, Ya-Ju Chang, Shy-Shin Wu, Jenny L. Wang, Sen-Te Yu, Cheng-Sheng |
author_facet | Chan, Ya-Ju Chang, Shy-Shin Wu, Jenny L. Wang, Sen-Te Yu, Cheng-Sheng |
author_sort | Chan, Ya-Ju |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8797510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-87975102022-01-31 Association between liver stiffness measurement by transient elastography and chronic kidney disease Chan, Ya-Ju Chang, Shy-Shin Wu, Jenny L. Wang, Sen-Te Yu, Cheng-Sheng Medicine (Baltimore) 6600 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. Lippincott Williams & Wilkins 2022-01-28 /pmc/articles/PMC8797510/ /pubmed/35089208 http://dx.doi.org/10.1097/MD.0000000000028658 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 6600 Chan, Ya-Ju Chang, Shy-Shin Wu, Jenny L. Wang, Sen-Te Yu, Cheng-Sheng Association between liver stiffness measurement by transient elastography and chronic kidney disease |
title | Association between liver stiffness measurement by transient elastography and chronic kidney disease |
title_full | Association between liver stiffness measurement by transient elastography and chronic kidney disease |
title_fullStr | Association between liver stiffness measurement by transient elastography and chronic kidney disease |
title_full_unstemmed | Association between liver stiffness measurement by transient elastography and chronic kidney disease |
title_short | Association between liver stiffness measurement by transient elastography and chronic kidney disease |
title_sort | association between liver stiffness measurement by transient elastography and chronic kidney disease |
topic | 6600 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797510/ https://www.ncbi.nlm.nih.gov/pubmed/35089208 http://dx.doi.org/10.1097/MD.0000000000028658 |
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