Humans ; Liver Cirrhosis, Biliary ; etiology

Humans ; Liver Cirrhosis ; diagnosis ; etiology

Ascites ; etiology ; Humans ; Liver Cirrhosis ; complications

Humans ; Liver Cirrhosis, Biliary ; diagnosis ; etiology ; therapy

Humans ; Liver Cirrhosis ; diagnosis ; etiology ; therapy

Fatigue ; etiology ; Humans ; Liver Cirrhosis, Biliary ; complications ; Pruritus ; etiology

The emergence of non-alcoholic fatty liver disease (NAFLD) as the leading chronic liver disease worldwide raises some concerns. In particular, NAFLD is closely tied to sedentary lifestyle habits and associated with other metabolic diseases, such as obesity and diabetes. At the end of the disease spectrum, non-alcoholic steatohepatitis (NASH) may progress to cirrhosis and hepatocellular carcinoma (HCC), representing a serious health problem to modern society. Recently, an increasing number of HCC cases originating from this progressive disease spectrum have been identified, with different levels of severity and complications. Updating the current guidelines by placing a bigger focus on this emerging cause and highlighting some of its unique features is necessary. Since, the drivers of the disease are complex and multifactorial, in order to improve future outcomes, having a better understanding of NASH progression into HCC may be helpful. The risks that can promote disease progression and currently available management strategies employed to monitor and treat NASH-related HCC make up the bulk of this review.
Carcinoma, Hepatocellular/etiology* ; Humans ; Liver Cirrhosis ; Liver Neoplasms/etiology* ; Non-alcoholic Fatty Liver Disease ; Obesity

Adult ; Ascites ; etiology ; Ascitic Fluid ; Female ; Humans ; Liver Cirrhosis ; complications

Ascites ; diagnosis ; etiology ; Diagnosis, Differential ; Humans ; Liver Cirrhosis ; complications ; diagnosis

OBJECTIVETo explore the similarity between traditional Chinese medicine (TCM) syndromes and clinical symptoms and biological parameters in patients with post-hepatitis cirrhosis (PHC).

METHODSAfter the variants had been normalized, 4 methods for similarity analysis, i.e. method of cosine distance, correlation coefficient, D and spectral similarity, were used to analyze the similarity of clinical characteristic information (symptoms), biological parameters and TCM syndromes obtained from 279 patients with PHC.

RESULTSThe corresponding similarity matrixes were used to reflect the similarity between TCM syndromes and symptoms and biological parameters respectively, results obtained by the 4 methods were basically identical. As compared with the traditional correlation coefficient analysis, the other three methods showed a higher level of matching, sensitivity, rationality in quantitative accepting-rejecting and reliability, and were more accordant with clinical practice.

CONCLUSIONThe resemblance between TCM syndromes and clinical information on disease obtained from similarity analysis is basically in accordance with the clinical practice, so, the technique could be taken as a method for finding the characteristics of TCM syndrome with simplified clinical parameters.