Elhammadi, A., Ziada, D., Farrag, W. (2022). Comparative Study between Responders and Non Responders Among Patients Treated for Hepatitis C virus Infection. Benha Medical Journal, 39(2), 589-601. doi: 10.21608/bmfj.2022.120253.1543
Amr Elhammadi; Dina Ziada; Wael Farrag. "Comparative Study between Responders and Non Responders Among Patients Treated for Hepatitis C virus Infection". Benha Medical Journal, 39, 2, 2022, 589-601. doi: 10.21608/bmfj.2022.120253.1543
Elhammadi, A., Ziada, D., Farrag, W. (2022). 'Comparative Study between Responders and Non Responders Among Patients Treated for Hepatitis C virus Infection', Benha Medical Journal, 39(2), pp. 589-601. doi: 10.21608/bmfj.2022.120253.1543
Elhammadi, A., Ziada, D., Farrag, W. Comparative Study between Responders and Non Responders Among Patients Treated for Hepatitis C virus Infection. Benha Medical Journal, 2022; 39(2): 589-601. doi: 10.21608/bmfj.2022.120253.1543
Comparative Study between Responders and Non Responders Among Patients Treated for Hepatitis C virus Infection
1Ass Professor of Internal Medicine Banha Faculty of Medicine, Banha University
2Professor of Tropical Medicine and infectious diseases Tanta Faculty of Medicine, Tanta University
3Internal medicine
Abstract
Background: Infection with the hepatitis C virus is a public health problem due to its prevalence, morbidity and mortality. Inspite high rate of SVR to treatment by DAAS, still failure to respond to treatment is a problem facing and delaying the achievement of HCV eradication. Identifying predictors of HCV treatment failure prior to the initiation of therapy is important in recognizing high-risk patients and alerting clinicians as to whether they should further intervene to address potential barriers. Methods: This retrospective cohort study was carried out from April 2016 to October 2018. The present study was conducted on 300 cases, 150 received SOF-DAC and 150 cases received SOF-DAC-RBV according to guidelines provided by Egyptian National HCV Control Program guidelines. Results: It was found that among all studied cases, non-response was significantly associated with older age, higher BMI and male gender (p < 0.001,