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. 2016 Aug;6(3):16.
doi: 10.7603/s40681-016-0016-2. Epub 2016 Aug 13.

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

Affiliations

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

Kao-Chi Cheng et al. Biomedicine (Taipei). 2016 Aug.

Abstract

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.

Keywords: Cirrhosis; Fatty liver; Globulin-albumin ratio; Hemangioma; Hepatitis; Liver cyst.

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Figures

Fig. 1 -
Fig. 1 -
Patient disposition
Fig. 2 -
Fig. 2 -
Predicted area under ROC curve (AUC) for the univariate model, which only considered G/A as an indicator of liver disease associated with cancer (LD-1) vs. liver disease not associated with cancer (LD-2).
Fig. 3 -
Fig. 3 -
Predicted area under ROC curve (AUC) for the multivariate model, which considered other confounding factors as indicators of liver disease associated with cancer (LD-1) vs. liver disease not associated with cancer (LD-2).

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