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Association of different types of liver disease with demographic and clinical factors

BACKGROUND AND AIM: A metric that predicts the presence of cancer-related liver disease would allow early implementation of treatment. We compared the demographic and clinical characteristics of patients with no evidence of liver disease, with a cancer-associated liver disease, and with a liver dise...

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Autores principales: Cheng, Kao-Chi, Lin, Wen-Yuan, Liu, Chiu-Shong, Lin, Cheng-Chieh, Lai, Hsueh-Chou, Lai, Shih-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: China Medical University 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4996334/
https://www.ncbi.nlm.nih.gov/pubmed/27518399
http://dx.doi.org/10.7603/s40681-016-0016-2
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author Cheng, Kao-Chi
Lin, Wen-Yuan
Liu, Chiu-Shong
Lin, Cheng-Chieh
Lai, Hsueh-Chou
Lai, Shih-Wei
author_facet Cheng, Kao-Chi
Lin, Wen-Yuan
Liu, Chiu-Shong
Lin, Cheng-Chieh
Lai, Hsueh-Chou
Lai, Shih-Wei
author_sort Cheng, Kao-Chi
collection PubMed
description BACKGROUND AND AIM: A metric that predicts the presence of cancer-related liver disease would allow early implementation of treatment. We compared the demographic and clinical characteristics of patients with no evidence of liver disease, with a cancer-associated liver disease, and with a liver disease not associated with cancer. METHODS: Retrospective, hospital-based, cross-sectional study which reviewed the medical records of subjects who underwent health examinations at a Taiwanese hospital from 2000 to 2004 and who had normal levels of amino transaminases. Demographic and clinical data were analyzed by univariate and multivariate statistics. RESULTS: A total of 2344 subjects had no evidence of liver disease (non-LD), and 1918 subjects had at least one liver disease (LD). The LD group was further divided into those with a cancer-associated liver disease (LD-1, n = 1632) and those with a liver disease not associated with cancer (LD-2, n = 286). Age, BMI, percentage of males, globulin:albumin ratio (G/A), percentage of patients with gallstones, AST, and ALT were significantly higher in the LD group. Univariate analysis showed that the G/A was significantly higher in the LD-2 group than the LD-1 group; multivariate analysis indicated that the G/A was not independently associated with liver disease, but that subjects who were older and had higher BMI were significantly more likely to have a cancer-associated liver disease. Conclusions: For patients with liver disease, a multivariate model can be used to distinguish those with a cancer-associated liver disease from those with a liver disease not associated with cancer.
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spelling pubmed-49963342016-08-25 Association of different types of liver disease with demographic and clinical factors Cheng, Kao-Chi Lin, Wen-Yuan Liu, Chiu-Shong Lin, Cheng-Chieh Lai, Hsueh-Chou Lai, Shih-Wei Biomedicine (Taipei) Original Article BACKGROUND AND AIM: A metric that predicts the presence of cancer-related liver disease would allow early implementation of treatment. We compared the demographic and clinical characteristics of patients with no evidence of liver disease, with a cancer-associated liver disease, and with a liver disease not associated with cancer. METHODS: Retrospective, hospital-based, cross-sectional study which reviewed the medical records of subjects who underwent health examinations at a Taiwanese hospital from 2000 to 2004 and who had normal levels of amino transaminases. Demographic and clinical data were analyzed by univariate and multivariate statistics. RESULTS: A total of 2344 subjects had no evidence of liver disease (non-LD), and 1918 subjects had at least one liver disease (LD). The LD group was further divided into those with a cancer-associated liver disease (LD-1, n = 1632) and those with a liver disease not associated with cancer (LD-2, n = 286). Age, BMI, percentage of males, globulin:albumin ratio (G/A), percentage of patients with gallstones, AST, and ALT were significantly higher in the LD group. Univariate analysis showed that the G/A was significantly higher in the LD-2 group than the LD-1 group; multivariate analysis indicated that the G/A was not independently associated with liver disease, but that subjects who were older and had higher BMI were significantly more likely to have a cancer-associated liver disease. Conclusions: For patients with liver disease, a multivariate model can be used to distinguish those with a cancer-associated liver disease from those with a liver disease not associated with cancer. China Medical University 2016-08-13 /pmc/articles/PMC4996334/ /pubmed/27518399 http://dx.doi.org/10.7603/s40681-016-0016-2 Text en © China Medical University 2016 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided original author(s) and source are credited.
spellingShingle Original Article
Cheng, Kao-Chi
Lin, Wen-Yuan
Liu, Chiu-Shong
Lin, Cheng-Chieh
Lai, Hsueh-Chou
Lai, Shih-Wei
Association of different types of liver disease with demographic and clinical factors
title Association of different types of liver disease with demographic and clinical factors
title_full Association of different types of liver disease with demographic and clinical factors
title_fullStr Association of different types of liver disease with demographic and clinical factors
title_full_unstemmed Association of different types of liver disease with demographic and clinical factors
title_short Association of different types of liver disease with demographic and clinical factors
title_sort association of different types of liver disease with demographic and clinical factors
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4996334/
https://www.ncbi.nlm.nih.gov/pubmed/27518399
http://dx.doi.org/10.7603/s40681-016-0016-2
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