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The Markers Predicting Response to Hepatitis C Virus Treatment and Evaluation of Treatment Responses
Abstract
Objectives: Currently pegylated interferon alpha (peg-IFN) and ribavirin treatment is recommended for chronic hepatitis C treatment. The aim of treatment is to provide sustained viral response (SVR). Material and Methods: A total of 125 patients, who have been treated for chronic hepatitis C diagnosis and are followed up until 6 months after treatment, were enrolled into the study. Markers, which have indicated treatment response against hepatitis C virus treatment, treatment responses according to peg-IFNα type used, and experienced side effects in patients have been compared. Results: Of patients, 103 were (82.4%) female and 22 were (17.6%) male and mean of age was 54.74±7.93 years. Markers indicating SVR in our study were calculated as rapid viral response (RVR) (p<0.001); early viral response (EVR) (p<0.001); high baseline thrombocyte (x103 / µl) value (240,93 ± 75,61) (p<0.004); baseline total bilirubin level (0.55±0.19) (p2) (p<0.034). Predictive parameters for EVR in our study were defined as absence of diabetes in patients, high baseline lymphocyte numbers (2024.74±625.93) and high baseline cholesterol level (in EVR positive patients 180.47±32.77 mg/dl; in EVR negatives 152.00±24.56). There was no statistical difference between peg-IFN type in patients and RVR, EVR and SVR. Also there was no statistical difference in hematological side effects (neutropenia, anemia, and thrombocytopenia) in both treatment groups. Conclusions: As the efficacy of treatment against HCV is defined, predictive markers for the treatment response are becoming more significant. Therefore, it is concluded that these factors should also be considered in patient treatment plans.
Keywords
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
-
Yayımlanma Tarihi
1 Eylül 2012
Gönderilme Tarihi
30 Nisan 2015
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2012 Cilt: 2 Sayı: 03
APA
Günal, Ö., Barut, H. Ş., & Erkorkmaz, Ü. (2012). The Markers Predicting Response to Hepatitis C Virus Treatment and Evaluation of Treatment Responses. Journal of Microbiology and Infectious Diseases, 2(03), 100-108. https://doi.org/10.5799/ahinjs.02.2012.03.0052
AMA
1.Günal Ö, Barut HŞ, Erkorkmaz Ü. The Markers Predicting Response to Hepatitis C Virus Treatment and Evaluation of Treatment Responses. Journal of Microbiology and Infectious Diseases. 2012;2(03):100-108. doi:10.5799/ahinjs.02.2012.03.0052
Chicago
Günal, Özgür, Hüseyin Şener Barut, ve Ünal Erkorkmaz. 2012. “The Markers Predicting Response to Hepatitis C Virus Treatment and Evaluation of Treatment Responses”. Journal of Microbiology and Infectious Diseases 2 (03): 100-108. https://doi.org/10.5799/ahinjs.02.2012.03.0052.
EndNote
Günal Ö, Barut HŞ, Erkorkmaz Ü (01 Eylül 2012) The Markers Predicting Response to Hepatitis C Virus Treatment and Evaluation of Treatment Responses. Journal of Microbiology and Infectious Diseases 2 03 100–108.
IEEE
[1]Ö. Günal, H. Ş. Barut, ve Ü. Erkorkmaz, “The Markers Predicting Response to Hepatitis C Virus Treatment and Evaluation of Treatment Responses”, Journal of Microbiology and Infectious Diseases, c. 2, sy 03, ss. 100–108, Eyl. 2012, doi: 10.5799/ahinjs.02.2012.03.0052.
ISNAD
Günal, Özgür - Barut, Hüseyin Şener - Erkorkmaz, Ünal. “The Markers Predicting Response to Hepatitis C Virus Treatment and Evaluation of Treatment Responses”. Journal of Microbiology and Infectious Diseases 2/03 (01 Eylül 2012): 100-108. https://doi.org/10.5799/ahinjs.02.2012.03.0052.
JAMA
1.Günal Ö, Barut HŞ, Erkorkmaz Ü. The Markers Predicting Response to Hepatitis C Virus Treatment and Evaluation of Treatment Responses. Journal of Microbiology and Infectious Diseases. 2012;2:100–108.
MLA
Günal, Özgür, vd. “The Markers Predicting Response to Hepatitis C Virus Treatment and Evaluation of Treatment Responses”. Journal of Microbiology and Infectious Diseases, c. 2, sy 03, Eylül 2012, ss. 100-8, doi:10.5799/ahinjs.02.2012.03.0052.
Vancouver
1.Özgür Günal, Hüseyin Şener Barut, Ünal Erkorkmaz. The Markers Predicting Response to Hepatitis C Virus Treatment and Evaluation of Treatment Responses. Journal of Microbiology and Infectious Diseases. 01 Eylül 2012;2(03):100-8. doi:10.5799/ahinjs.02.2012.03.0052