Literature DB >> 22882558

Lipid profile is associated with the incidence of cognitive dysfunction in viral cirrhotic patients: A data-mining analysis.

Eitaro Taniguchi1, Takumi Kawaguchi, Masahiro Sakata, Minoru Itou, Tetsuharu Oriishi, Michio Sata.   

Abstract

AIM: Cognitive dysfunction (CD) is frequently observed in cirrhotic patients. However, the biochemical profiles associated with CD remain unclear. We investigated the biochemical profiles associated with the incidence of CD in cirrhotic patients by using multivariate analyses, including a decision-tree algorithm.
METHODS: In this study, 27 viral cirrhotic patients were enrolled. All subjects underwent neuropsychiatric tests; two or more abnormal results were defined as CD. A logistic regression model was used for multivariate stepwise analysis. A decision-tree algorithm was constructed, and the categorical differences based on the decision-tree model were analyzed by χ(2) -tests.
RESULTS: Multivariate stepwise analysis showed the levels of total bilirubin, triglycerides and free fatty acids (FFA) as independent bioparameters associated with the incidence of CD in cirrhotic patients. The decision-tree algorithm showed that among patients with FFA of 514 mEq/L or more, 77.8% had CD. Meanwhile, among patients with FFA of less than 514 mEq/L and triglycerides of 106 mg/dL or more, 20.0% had CD. The sensitivity, specificity and accuracy for the incidence of CD using the lipid profile (FFA >514 mEq/L or triglycerides <106 mg/dL) were 85.7% (12/14), 61.5% (8/13) and 74.1% (20/27), respectively.
CONCLUSION: The levels of total bilirubin, FFA and triglycerides are independently associated with the incidence of CD in cirrhotic patients. In addition, a decision-tree algorithm revealed that FFA of more than 514 mEq/L or triglycerides of less than 106 mg/dL is a profile associated with the incidence of CD. Thus, this lipid profile could be a possible screening bioparameter for CD in cirrhotic patients.
© 2012 The Japan Society of Hepatology.

Entities:  

Year:  2012        PMID: 22882558     DOI: 10.1111/j.1872-034X.2012.01076.x

Source DB:  PubMed          Journal:  Hepatol Res        ISSN: 1386-6346            Impact factor:   4.288


  4 in total

Review 1.  Abnormalities of Lipoprotein Levels in Liver Cirrhosis: Clinical Relevance.

Authors:  Graziella Privitera; Luisa Spadaro; Simona Marchisello; Giuseppe Fede; Francesco Purrello
Journal:  Dig Dis Sci       Date:  2017-11-25       Impact factor: 3.199

2.  An association between dietary habits and traffic accidents in patients with chronic liver disease: A data-mining analysis.

Authors:  Takumi Kawaguchi; Takuro Suetsugu; Shyou Ogata; Minami Imanaga; Kumiko Ishii; Nao Esaki; Masako Sugimoto; Jyuri Otsuyama; Ayu Nagamatsu; Eitaro Taniguchi; Minoru Itou; Tetsuharu Oriishi; Shoko Iwasaki; Hiroko Miura; Takuji Torimura
Journal:  Biomed Rep       Date:  2016-03-23

3.  Biomarker identification of hepatocellular carcinoma using a methodical literature mining strategy.

Authors:  Nai-Wen Chang; Hong-Jie Dai; Yung-Yu Shih; Chi-Yang Wu; Mira Anne C Dela Rosa; Rofeamor P Obena; Yu-Ju Chen; Wen-Lian Hsu; Yen-Jen Oyang
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

4.  Biomarker identification using text mining.

Authors:  Hui Li; Chunmei Liu
Journal:  Comput Math Methods Med       Date:  2012-11-11       Impact factor: 2.238

  4 in total

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