scholarly journals Machine Learning Model for Diagnosing the Stage of Liver Fibrosis in Patients With Chronic Viral Hepatitis C

2021 ◽  
Author(s):  
Valeriy Tsvetkov ◽  
Ivan Tokin ◽  
Dmitriy Lioznov
Keyword(s):  
Machine Learning ◽  
Clinical Practice ◽  
Hepatitis C ◽  
Liver Fibrosis ◽  
Viral Hepatitis ◽  
Blood Test ◽  
Chronic Viral Hepatitis ◽  
Machine Learning Model ◽  
Viral Hepatitis C ◽  
Chronic Viral Hepatitis C

Aim. The purpose of the work was the development of a machine learning model for diagnosing the stage of liver fibrosis in patients with chronic viral hepatitis C according to the data of routine clinical examination. Materials and methods. A total of 1240 patients with chronic viral hepatitis C was examined. A set of data obtained from 689 patients balancing by the stage of liver fibrosis was used for developing and testing machine learning models. 9 routine clinical parameters were selected as the most important predictors for determining the likelihood of liver fibrosis the 3–4 stages presence: age, height, weight and body mass index of the patient, the number of platelets in the clinical blood test, levels of alanine transaminase, aspartate transaminase, gamma-glutamyltransferase, and total bilirubin in a biochemical blood test. Results. The accuracy of the developed method for determining the 3–4 stages of liver fibrosis in patients with chronic viral hepatitis C in comparison with the «gold standard» of diagnosis (liver biopsy) was 80.56% (95% CI: 69.53–88.94%), sensitivity — 66.67%, specificity — 94.44%. Conclusion. The developed method is an alternative to more expensive and geographically inaccessible studies. The method does not require the purchase of additional equipment or software, as well as additional laboratory tests, when used in real clinical practice. The introduction of the method into clinical practice can help to solve the problem of low material and territorial availability of diagnostic tests and allow determining the stage of liver fibrosis in patients with chronic viral hepatitis C.

Interest of hyaluronic acid (HA) in assessment of liver fibrosis in chronic viral hepatitis C

1995 ◽  
Vol 108 (4) ◽  
pp. A1140
Author(s):  
B. Oui ◽  
H. Trouette ◽  
B. Le Bail ◽  
G. Lacape ◽  
M. Fonck ◽  
...  
Keyword(s):  
Hyaluronic Acid ◽  
Hepatitis C ◽  
Liver Fibrosis ◽  
Viral Hepatitis ◽  
Chronic Viral Hepatitis ◽  
Viral Hepatitis C ◽  
Chronic Viral Hepatitis C

scholarly journals Diagnostic accuracy of hyaluronan and type III procollagen amino-terminal peptide serum assays as markers of liver fibrosis in chronic viral hepatitis C evaluated by ROC curve analysis

1996 ◽  
Vol 42 (4) ◽  
pp. 558-563 ◽  
Author(s):  
J Guéchot ◽  
A Laudat ◽  
A Loria ◽  
L Serfaty ◽  
R Poupon ◽  
...  
Keyword(s):  
Hepatitis C ◽  
Liver Fibrosis ◽  
Diagnostic Accuracy ◽  
Viral Hepatitis ◽  
Roc Curves ◽  
Chronic Viral Hepatitis ◽  
Type Iii ◽  
Amino Terminal ◽  
Viral Hepatitis C ◽  
Chronic Viral Hepatitis C

Abstract Diagnostic accuracy of two serum markers of liver fibrosis, hyaluronan (HA) and amino-terminal peptide of type III procollagen (P-III-P), was studied in a cohort of 326 untreated patients with chronic viral hepatitis C. Both P-III-P (RIA-gnost P-III-P, Behring Diagnostic) and HA (HA-test, Pharmacia) serum concentrations correlated with the histological grades of liver fibrosis (P < 0.001). Receiver-operating characteristic (ROC) curves showed that serum HA had greater diagnostic performance than P-III-P, both for discriminating patients with extensive liver fibrosis from those with no or mild fibrosis (area under the ROC curves: 0.864 vs 0.691, P <0.001) or for discriminating patients with cirrhosis from those without cirrhosis (area under the ROC curves: 0.924 vs 0.734, P <0.001). At cutoff values of 0.8 kU/L for serum P-III-P and 85 micrograms/L for serum HA, sensitivities were 70.0% and 64.5%, and specificities were 63.4% and 91.2%, respectively, for discriminating patients with extensive liver fibrosis from those with no or mild fibrosis. At the cutoff values of 1.0 kU/L for serum P-III-P and 110 micrograms/L for serum HA, sensitivities were 60.0% and 79.2%, and specificities were 74.0% and 89.4%, respectively, for discriminating patients with liver cirrhosis from those without cirrhosis. We conclude that, because the diagnostic accuracy of serum HA is greater than that of serum P-III-P as a marker of liver fibrosis, serum HA should be preferred when monitoring liver fibrosis in patients with chronic viral hepatitis C.

scholarly journals Method of DNA-comet assay in the diagnosis of liver fibrosis in patients with chronic viral hepatitis C

2015 ◽  
Vol 20 (2) ◽  
pp. 29-33
Author(s):  
A. F Popov ◽  
A. O Mikhailov ◽  
N. S Ivanova ◽  
A. I Simakova
Keyword(s):  
Hepatitis C ◽  
Liver Fibrosis ◽  
Comet Assay ◽  
Viral Hepatitis ◽  
Peripheral Blood ◽  
Peripheral Blood Lymphocytes ◽  
Chronic Viral Hepatitis ◽  
Dna Comet Assay ◽  
Viral Hepatitis C ◽  
Chronic Viral Hepatitis C

In the study there were included 100 patients, which were selected in 5 group in dependence on the degree of liver fibrosis: I - F0, II - F1, III - F2, IV- F3, V - F4. Sixth (control) group was consisted of 43 healthy volunteers. The performed research has shown the relationship between the stage of fibrosis and the degree of DNA degradation in peripheral blood lymphocytes. The biggest level of DNA destruction in peripheral blood lymphocytes was established in group V patients with chronic viral hepatitis C. This allowed to consider method of DNA-comet assay as promising auxiliary method in the assessment of the formation of liver fibrosis.

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