title: Non-invasive markers and predictors of severity of hepatic fibrosis in HCV patients at Sharkia Governorate, Egypt.
abstract: Liver biopsy is thought mandatory for management in patients with hepatitis C virus infection (HCV) especially for histopathological grading and staging of the disease to assess suitability for treatment and monitoring disease progression. However, tracking of liver disease progression can't rely on repeated biopsies. The study aimed to evaluate two significant items, we try to develop and validate a non-invasive predictive tool to assess hepatic necro-inflammation and fibrosis. Also, to determine factors that associate severity of hepatic pathology in HCV infected Egyptian patients particularly at Sharkia G. The study included 109 patients with detectable HCV by Real Time-PCR. The patients were classified into three different pathological stages and grades according to the new concept of histopathoglical staging and grading. The different clinical, biochemical, virological and ultra-sonographic parameters were assessed and analyzed and the variables that showed significant association with histopathological staging and grading were included in multivariate logistic regression analysis. The regression model revealed that, platelet count, matrix metalloproteinase-9 (MMP-9), portal vein diameter, splenic longitudinal axis, alanine transaminase, aspartate transaminase and viral load were the factors that add significance to the model in decreasing order of significance. From these findings we generate a new score ranged from 0-9. The score model was applied to our patients to assess its validity where it proved to be accurate in discriminating patients with mild inflammation and fibrosis (sensitivity 81.8%, specificity 80.5% and accuracy 80.7%) and more accurate in detecting patients with cirrhosis (specificity 96.6%, sensitivity 80% & accuracy 93.6%) but less accurate in detecting patients with moderate to severe fibrosis (specificity 66.7%, sensitivity 68.7% & accuracy 67.9%). Also the results revealed that, co-infection with schistosomiasis, old age > or = 45 years and positive history of blood transfusion as a source of infection was significantly associated with severe hepatic pathology. It is concluded that, the score model can't completely replace liver biopsy but at least it could be used to substantially reduce the number of liver biopsies done in patients with HCV infection in assessing disease progression during follow up. Also, it can be used to make decisions about treatment in patients who have contraindications to or who refused liver biopsy. Co-infection with schistosomiasis, age > or = 45 and positive history of blood transfusion in patients with HCV warrant special attention with more intensive follow up. These factors may play a major role in forecasting the course of HCV as well as in determining the therapeutic approach in each case.
authors.affiliation: Faculty of Medicine, Zagazig University, Zagazig, Egypt.
authors.forename: Eman
authors.initials: E
authors.lastname: el-Shorbagy
authors.forename: Afefy F
authors.initials: AF
authors.lastname: Afefy
authors.forename: Ibrahem A
authors.initials: IA
authors.lastname: Ibrahem
authors.forename: Amal M
authors.initials: AM
authors.lastname: Mangoud
authors.forename: Mostafa H
authors.initials: MH
authors.lastname: Eissa
authors.forename: Essam I
authors.initials: EI
authors.lastname: Sabee
authors.forename: Seham
authors.initials: S
authors.lastname: Mahrous
authors.forename: Amal
authors.initials: A
authors.lastname: Abdel-Monem
authors.forename: Alaa
authors.initials: A
authors.lastname: Ismail
authors.forename: Tosson A
authors.initials: TA
authors.lastname: Morsy
authors.forename: Samia
authors.initials: S
authors.lastname: Etewa
authors.forename: Essam
authors.initials: E
authors.lastname: Nor Edin
authors.forename: Yousry
authors.initials: Y
authors.lastname: Mostafa
authors.forename: Yousry
authors.initials: Y
authors.lastname: Abouel-Magd
authors.forename: Mahmoud
authors.initials: M
authors.lastname: el-Sedawy
authors.forename: Hosnia
authors.initials: H
authors.lastname: Ragab
authors.forename: Hanan
authors.initials: H
authors.lastname: el-Tokhy
authors.forename: Mostafa I
authors.initials: MI
authors.lastname: Hassan
authors.forename: Khalid
authors.initials: K
authors.lastname: Lakouz
authors.forename: Khalid
authors.initials: K
authors.lastname: Abdel-Aziz
authors.forename: Gaber
authors.initials: G
authors.lastname: el-Hady
authors.forename: Mahmoud
authors.initials: M
authors.lastname: Saber
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D015415:Biomarkers / Q000097:blood; D002648:Child; D002675:Child, Preschool; D018450:Disease Progression; D005260:Female; D019698:Hepatitis C, Chronic / Q000097:blood / Q000150:complications*; D006801:Humans; D008099:Liver / Q000473:pathology / Q000821:virology; D008103:Liver Cirrhosis / Q000097:blood / Q000209:etiology* / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012552:Schistosomiasis / Q000150:complications; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D065227:Transfusion Reaction
chemical_list: D015415:Biomarkers