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Comparison of laboratory indices of non-alcoholic fatty liver disease for the detection of incipient kidney dysfunction
Non-alcoholic fatty liver disease (NAFLD) is closely linked to insulin resistance and related adverse health outcomes. We investigated the non-invasive index of NAFLD that has the best performance in estimating the renal manifestations of metabolic disturbances. This nation-wide, cross-sectional stu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410686/ https://www.ncbi.nlm.nih.gov/pubmed/30867987 http://dx.doi.org/10.7717/peerj.6524 |
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author | Choi, Jong Wook Lee, Chang Hwa Park, Joon-Sung |
author_facet | Choi, Jong Wook Lee, Chang Hwa Park, Joon-Sung |
author_sort | Choi, Jong Wook |
collection | PubMed |
description | Non-alcoholic fatty liver disease (NAFLD) is closely linked to insulin resistance and related adverse health outcomes. We investigated the non-invasive index of NAFLD that has the best performance in estimating the renal manifestations of metabolic disturbances. This nation-wide, cross-sectional study included 11,836 subjects, using various non-invasive assessments comprising routinely measured clinical and laboratory variables. The subjects were native Koreans aged 20 years or older and had no diabetes, history of liver or kidney disease. All participants were divided into quintiles according to their fibrosis-4 (FIB-4) results. Participants in the highest quintile were more hypertensive and obese with greater glycemic exposure, poor lipid profiles, and impaired kidney function, than those in the other quintiles. Multiple logistic regression, adjusted for age, sex, smoking, systolic blood pressure, white blood cell, platelet, fasting plasma glucose, and triglyceride, demonstrated that FIB-4, the hepatic steatosis index, the aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio, Gholam’s model for non-alcoholic steatohepatitis, and the BARD score were independently associated with kidney dysfunction. ROC curve analysis revealed that FIB-4 (AUC = 0.6227, 95% CI [0.5929–0.6526], p = 0.0258) was the most precise in predicting kidney dysfunction. Our findings suggest that FIB-4 may be a favorable screening tool for the renal manifestation of hepatic metabolic disturbances. |
format | Online Article Text |
id | pubmed-6410686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64106862019-03-13 Comparison of laboratory indices of non-alcoholic fatty liver disease for the detection of incipient kidney dysfunction Choi, Jong Wook Lee, Chang Hwa Park, Joon-Sung PeerJ Gastroenterology and Hepatology Non-alcoholic fatty liver disease (NAFLD) is closely linked to insulin resistance and related adverse health outcomes. We investigated the non-invasive index of NAFLD that has the best performance in estimating the renal manifestations of metabolic disturbances. This nation-wide, cross-sectional study included 11,836 subjects, using various non-invasive assessments comprising routinely measured clinical and laboratory variables. The subjects were native Koreans aged 20 years or older and had no diabetes, history of liver or kidney disease. All participants were divided into quintiles according to their fibrosis-4 (FIB-4) results. Participants in the highest quintile were more hypertensive and obese with greater glycemic exposure, poor lipid profiles, and impaired kidney function, than those in the other quintiles. Multiple logistic regression, adjusted for age, sex, smoking, systolic blood pressure, white blood cell, platelet, fasting plasma glucose, and triglyceride, demonstrated that FIB-4, the hepatic steatosis index, the aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio, Gholam’s model for non-alcoholic steatohepatitis, and the BARD score were independently associated with kidney dysfunction. ROC curve analysis revealed that FIB-4 (AUC = 0.6227, 95% CI [0.5929–0.6526], p = 0.0258) was the most precise in predicting kidney dysfunction. Our findings suggest that FIB-4 may be a favorable screening tool for the renal manifestation of hepatic metabolic disturbances. PeerJ Inc. 2019-03-08 /pmc/articles/PMC6410686/ /pubmed/30867987 http://dx.doi.org/10.7717/peerj.6524 Text en ©2019 Choi et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Gastroenterology and Hepatology Choi, Jong Wook Lee, Chang Hwa Park, Joon-Sung Comparison of laboratory indices of non-alcoholic fatty liver disease for the detection of incipient kidney dysfunction |
title | Comparison of laboratory indices of non-alcoholic fatty liver disease for the detection of incipient kidney dysfunction |
title_full | Comparison of laboratory indices of non-alcoholic fatty liver disease for the detection of incipient kidney dysfunction |
title_fullStr | Comparison of laboratory indices of non-alcoholic fatty liver disease for the detection of incipient kidney dysfunction |
title_full_unstemmed | Comparison of laboratory indices of non-alcoholic fatty liver disease for the detection of incipient kidney dysfunction |
title_short | Comparison of laboratory indices of non-alcoholic fatty liver disease for the detection of incipient kidney dysfunction |
title_sort | comparison of laboratory indices of non-alcoholic fatty liver disease for the detection of incipient kidney dysfunction |
topic | Gastroenterology and Hepatology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410686/ https://www.ncbi.nlm.nih.gov/pubmed/30867987 http://dx.doi.org/10.7717/peerj.6524 |
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