Cargando…
Detection of hepatitis C virus in patients with terminal renal disease undergoing dialysis in southern Brazil: prevalence, risk factors, genotypes, and viral load dynamics in hemodialysis patients
Hepatitis C (HCV) is a serious public health issue, and it is estimated that 3% of the world’s population is infected. Patients in hemodialysis units have an increased risk for contracting HCV, and high prevalence rates have been found in hemodialysis units around the world. This study is aimed at d...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4329191/ https://www.ncbi.nlm.nih.gov/pubmed/25644891 http://dx.doi.org/10.1186/s12985-015-0238-z |
_version_ | 1782357398362521600 |
---|---|
author | Vidales-Braz, Beatris Maria da Silva, Naylê Maria Oliveira Lobato, Rubens Germano, Fabiana Nunes da Mota, Luiza Dias Barros, Elvino JG de Martinez, Ana Maria Barral |
author_facet | Vidales-Braz, Beatris Maria da Silva, Naylê Maria Oliveira Lobato, Rubens Germano, Fabiana Nunes da Mota, Luiza Dias Barros, Elvino JG de Martinez, Ana Maria Barral |
author_sort | Vidales-Braz, Beatris Maria |
collection | PubMed |
description | Hepatitis C (HCV) is a serious public health issue, and it is estimated that 3% of the world’s population is infected. Patients in hemodialysis units have an increased risk for contracting HCV, and high prevalence rates have been found in hemodialysis units around the world. This study is aimed at determining the prevalence of HCV in patients with terminal chronic renal disease (tCRD) who have been submitted to hemodialysis and peritoneal dialysis in southern Brazil to characterize the most prevalent genotypes, the viral load, and possible risk factors and to assess the validity between the ELISA and RT-PCR detection methods. Of 320 patients from three dialysis units, 318 participated in this study. According to the medical records, 55 patients were reactive to HCV, as determined via ELISA. All 318 samples were submitted to RT-PCR and genotyped using an Abbott Realtime® m2000 system. Data obtained through a questionnaire and chemical variables were associated with the HCV. Results: The prevalence of HCV was 18.24% (58), and the concordance between the HCV serology and the RT-PCR was 94%. Three patients were diagnosed to be negative for HCV using the ELISA assay but positive when using RT-PCR. Genotype 1 was the most prevalent (46.7%) genotype, within which subtype 1a was the most frequent (74.1%). One of the risk factors associated with HCV infection was the length of time that the patient had been undergoing hemodialysis treatments (p < 0.001). Additionally, the viral load was found to vary when tested before and after hemodialysis (p < 0.001). Conclusion: The prevalence of HCV in dialysis units continues to remain high, indicating nosocomial contamination. RT-PCR detected the presence of the hepatitis C virus in patients with a non-reactive serology, which highlights the importance of performing molecular tests on dialysis patients. The variation in the viral load in patients submitted to hemodialysis indicates a possible destruction or gripping of viral particles to the dialyzer membrane. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12985-015-0238-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4329191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43291912015-02-16 Detection of hepatitis C virus in patients with terminal renal disease undergoing dialysis in southern Brazil: prevalence, risk factors, genotypes, and viral load dynamics in hemodialysis patients Vidales-Braz, Beatris Maria da Silva, Naylê Maria Oliveira Lobato, Rubens Germano, Fabiana Nunes da Mota, Luiza Dias Barros, Elvino JG de Martinez, Ana Maria Barral Virol J Research Hepatitis C (HCV) is a serious public health issue, and it is estimated that 3% of the world’s population is infected. Patients in hemodialysis units have an increased risk for contracting HCV, and high prevalence rates have been found in hemodialysis units around the world. This study is aimed at determining the prevalence of HCV in patients with terminal chronic renal disease (tCRD) who have been submitted to hemodialysis and peritoneal dialysis in southern Brazil to characterize the most prevalent genotypes, the viral load, and possible risk factors and to assess the validity between the ELISA and RT-PCR detection methods. Of 320 patients from three dialysis units, 318 participated in this study. According to the medical records, 55 patients were reactive to HCV, as determined via ELISA. All 318 samples were submitted to RT-PCR and genotyped using an Abbott Realtime® m2000 system. Data obtained through a questionnaire and chemical variables were associated with the HCV. Results: The prevalence of HCV was 18.24% (58), and the concordance between the HCV serology and the RT-PCR was 94%. Three patients were diagnosed to be negative for HCV using the ELISA assay but positive when using RT-PCR. Genotype 1 was the most prevalent (46.7%) genotype, within which subtype 1a was the most frequent (74.1%). One of the risk factors associated with HCV infection was the length of time that the patient had been undergoing hemodialysis treatments (p < 0.001). Additionally, the viral load was found to vary when tested before and after hemodialysis (p < 0.001). Conclusion: The prevalence of HCV in dialysis units continues to remain high, indicating nosocomial contamination. RT-PCR detected the presence of the hepatitis C virus in patients with a non-reactive serology, which highlights the importance of performing molecular tests on dialysis patients. The variation in the viral load in patients submitted to hemodialysis indicates a possible destruction or gripping of viral particles to the dialyzer membrane. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12985-015-0238-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-03 /pmc/articles/PMC4329191/ /pubmed/25644891 http://dx.doi.org/10.1186/s12985-015-0238-z Text en © Vidales-Braz et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Vidales-Braz, Beatris Maria da Silva, Naylê Maria Oliveira Lobato, Rubens Germano, Fabiana Nunes da Mota, Luiza Dias Barros, Elvino JG de Martinez, Ana Maria Barral Detection of hepatitis C virus in patients with terminal renal disease undergoing dialysis in southern Brazil: prevalence, risk factors, genotypes, and viral load dynamics in hemodialysis patients |
title | Detection of hepatitis C virus in patients with terminal renal disease undergoing dialysis in southern Brazil: prevalence, risk factors, genotypes, and viral load dynamics in hemodialysis patients |
title_full | Detection of hepatitis C virus in patients with terminal renal disease undergoing dialysis in southern Brazil: prevalence, risk factors, genotypes, and viral load dynamics in hemodialysis patients |
title_fullStr | Detection of hepatitis C virus in patients with terminal renal disease undergoing dialysis in southern Brazil: prevalence, risk factors, genotypes, and viral load dynamics in hemodialysis patients |
title_full_unstemmed | Detection of hepatitis C virus in patients with terminal renal disease undergoing dialysis in southern Brazil: prevalence, risk factors, genotypes, and viral load dynamics in hemodialysis patients |
title_short | Detection of hepatitis C virus in patients with terminal renal disease undergoing dialysis in southern Brazil: prevalence, risk factors, genotypes, and viral load dynamics in hemodialysis patients |
title_sort | detection of hepatitis c virus in patients with terminal renal disease undergoing dialysis in southern brazil: prevalence, risk factors, genotypes, and viral load dynamics in hemodialysis patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4329191/ https://www.ncbi.nlm.nih.gov/pubmed/25644891 http://dx.doi.org/10.1186/s12985-015-0238-z |
work_keys_str_mv | AT vidalesbrazbeatrismaria detectionofhepatitiscvirusinpatientswithterminalrenaldiseaseundergoingdialysisinsouthernbrazilprevalenceriskfactorsgenotypesandviralloaddynamicsinhemodialysispatients AT dasilvanaylemariaoliveira detectionofhepatitiscvirusinpatientswithterminalrenaldiseaseundergoingdialysisinsouthernbrazilprevalenceriskfactorsgenotypesandviralloaddynamicsinhemodialysispatients AT lobatorubens detectionofhepatitiscvirusinpatientswithterminalrenaldiseaseundergoingdialysisinsouthernbrazilprevalenceriskfactorsgenotypesandviralloaddynamicsinhemodialysispatients AT germanofabiananunes detectionofhepatitiscvirusinpatientswithterminalrenaldiseaseundergoingdialysisinsouthernbrazilprevalenceriskfactorsgenotypesandviralloaddynamicsinhemodialysispatients AT damotaluizadias detectionofhepatitiscvirusinpatientswithterminalrenaldiseaseundergoingdialysisinsouthernbrazilprevalenceriskfactorsgenotypesandviralloaddynamicsinhemodialysispatients AT barroselvinojg detectionofhepatitiscvirusinpatientswithterminalrenaldiseaseundergoingdialysisinsouthernbrazilprevalenceriskfactorsgenotypesandviralloaddynamicsinhemodialysispatients AT demartinezanamariabarral detectionofhepatitiscvirusinpatientswithterminalrenaldiseaseundergoingdialysisinsouthernbrazilprevalenceriskfactorsgenotypesandviralloaddynamicsinhemodialysispatients |