GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Journal of Medical Virology, Wiley, Vol. 90, No. 12 ( 2018-12), p. 1787-1792
    Abstract: To observe the clinical value of hepatitis C virus (HCV) core antigen (HCcAg) levels in monitoring acute HCV infection in patients with spontaneous clearance (SC) or clearance induced by antiviral therapy. Methods Patients with iatrogenic HCV infection (n = 104) were enrolled at the Shengjing Hospital, China Medical University, between 5 February 2013 and 3 April 2013. All cases were diagnosed with acute HCV infection, enrolled within 90 days of infection, and followed for 12 to 16 weeks. Blood was collected every month. HCV RNA and HCcAg levels were detected. From week 16, patients without SC were treated with pegylated‐interferon and the HCV RNA and HCcAg levels were observed monthly. Follow‐up was 7.5 (5.0 to 10.4) months. The Spearman correlation analysis was performed to determine the correlation between HCV RNA and HCcAg. Logistic regression analysis was used to determine the association of baseline HCV RNA and HCcAg levels with SC. Results Ten patients (9.62%) showed SC, with a negative conversion time of 57 (14 to 143) days. During follow‐up, HCV RNA and HCcAg expression levels were positively correlated for each patient (except on the sixth month), but the levels of HCV RNA and HCcAg were not associated with HCV infection SC. Conclusions HCcAg levels could be of value for monitoring the course early HCV infection, but could not predict SC of HCV infection.
    Type of Medium: Online Resource
    ISSN: 0146-6615 , 1096-9071
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 752392-0
    detail.hit.zdb_id: 1475090-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...