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HBV-DNA in hemodialysis patients infected by HCV.

Authors: Arababadi Mohammad; Hassanshahi Gholamhossein; Yousefi Hassan;

HBV-DNA in hemodialysis patients infected by HCV.

Abstract

End-stage renal disease patients on chronic hemodialysis (HD) patients are at risk for both hepatitis B virus (HBV) and hepatitis C virus (HCV) infection, and they may coexist. To determine the prevalence and clinical impact of HBV and HCV infection, we studied poly chain reaction (PCR) and reverse transcription (RT)-PCR on the blood samples of 90 HD patients in Kerman, Iran. ELISA test was used to detect anti-HBc, anti-HBs and HBsAg. We found that 30 out of 90 (33.3%) patients were PCR-RT-PCR positive for HCV-RNA. No HBV-DNA (0%) was detected through the PCR study in both positive and negative HCV-RNA patient groups. Though none of the samples was HBsAg positive, 10 (33.3%) HCV-RNA positive patients were anti-HBc positive, and 12 (40.7%) were anti-HBs positive. We conclude that prevalence of hepatitis C infection is high in HD patients in our region, but not associated with active HBV infection.

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Keywords

Hemodialysis patients, Male, Hepatitis B virus, Enzyme-Linked Immunosorbent Assay, Hepacivirus, Iran, Renal Dialysis, Prevalence, Humans, Hepatitis B Antibodies, HBV infection, Aged, Hepatitis B Surface Antigens, Reverse Transcriptase Polymerase Chain Reaction, R, Middle Aged, Hepatitis B, Hepatitis C, Cross-Sectional Studies, DNA, Viral, Medicine, Kidney Failure, Chronic, Female

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Average
Top 10%
Top 10%
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