Screening for hepatitis C virus infection in Peking University People’s Hospital in 2015-2018

Objective To investigate missed detection in the screening for hepatitis C virus (HCV) infection in a general hospital in 2015-2018. Methods A retrospective analysis was performed for the data of 3659 patients who attended People’s Hospital, Peking University, from 2015 to 2018 and underwent the det...

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Main Author: KONG Xiangsha
Format: Article
Language:zho
Published: Editorial Department of Journal of Clinical Hepatology 2019-08-01
Series:Linchuang Gandanbing Zazhi
Online Access:http://www.lcgdbzz.org/qk_content.asp?id=10081
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spelling doaj-af9c2dcbc7aa4fe6b4d1e86448f461f82020-11-25T01:41:09ZzhoEditorial Department of Journal of Clinical HepatologyLinchuang Gandanbing Zazhi1001-52561001-52562019-08-0135817101713Screening for hepatitis C virus infection in Peking University People’s Hospital in 2015-2018KONG Xiangsha0Beijing Key Laboratory for Hepatitis C and Immunotherapy for Liver Diseases, Peking University Hepatology Institute, People’s Hospital, Peking University, Beijing 100044, ChinaObjective To investigate missed detection in the screening for hepatitis C virus (HCV) infection in a general hospital in 2015-2018. Methods A retrospective analysis was performed for the data of 3659 patients who attended People’s Hospital, Peking University, from 2015 to 2018 and underwent the detection of anti-HCV and HCV RNA. Architect I2000 by Abbott and Vitros 3600 by Johnson and Johnson were used to measure anti-HCV, and the Roche Cobas AmpliPrep/Cobas Taqman 96 automatic virus quantification system was used to measure HCV RNA. The specimens were collected from the patients with positive HCV RNA and negative anti-HCV, and Sanger sequencing was used to determine HCV genotype. The patients were followed up to observe the status of HCV infection and clinical conditions. The signal-to-cut-off (S/CO) ratio was used to express the results of anti-HCV detection. GraphPad Prism 5.0 was used to plot the distribution map of the S/CO ratio of anti-HCV. Results Of all 3659 patients, 6 (0.16%) had negative anti-HCV based on at least one reagent and positive HCV RNA, with a mean level of (6.40±1.86)log10 IU/ml. Among these 6 patients, 5 (83%) had acute leukemia and 1 had respiratory disease; among these patients, 1 had good prognosis, 3 had poor prognosis, and 2 died. Conclusion When antibody is used as the primary screening method for HCV infection, the rate of missed detection reaches 0.16%, and most of these patients have poor prognosis. HCV RNA detection should be performed for patients with immunodeficiency to avoid missed detection. http://www.lcgdbzz.org/qk_content.asp?id=10081
collection DOAJ
language zho
format Article
sources DOAJ
author KONG Xiangsha
spellingShingle KONG Xiangsha
Screening for hepatitis C virus infection in Peking University People’s Hospital in 2015-2018
Linchuang Gandanbing Zazhi
author_facet KONG Xiangsha
author_sort KONG Xiangsha
title Screening for hepatitis C virus infection in Peking University People’s Hospital in 2015-2018
title_short Screening for hepatitis C virus infection in Peking University People’s Hospital in 2015-2018
title_full Screening for hepatitis C virus infection in Peking University People’s Hospital in 2015-2018
title_fullStr Screening for hepatitis C virus infection in Peking University People’s Hospital in 2015-2018
title_full_unstemmed Screening for hepatitis C virus infection in Peking University People’s Hospital in 2015-2018
title_sort screening for hepatitis c virus infection in peking university people’s hospital in 2015-2018
publisher Editorial Department of Journal of Clinical Hepatology
series Linchuang Gandanbing Zazhi
issn 1001-5256
1001-5256
publishDate 2019-08-01
description Objective To investigate missed detection in the screening for hepatitis C virus (HCV) infection in a general hospital in 2015-2018. Methods A retrospective analysis was performed for the data of 3659 patients who attended People’s Hospital, Peking University, from 2015 to 2018 and underwent the detection of anti-HCV and HCV RNA. Architect I2000 by Abbott and Vitros 3600 by Johnson and Johnson were used to measure anti-HCV, and the Roche Cobas AmpliPrep/Cobas Taqman 96 automatic virus quantification system was used to measure HCV RNA. The specimens were collected from the patients with positive HCV RNA and negative anti-HCV, and Sanger sequencing was used to determine HCV genotype. The patients were followed up to observe the status of HCV infection and clinical conditions. The signal-to-cut-off (S/CO) ratio was used to express the results of anti-HCV detection. GraphPad Prism 5.0 was used to plot the distribution map of the S/CO ratio of anti-HCV. Results Of all 3659 patients, 6 (0.16%) had negative anti-HCV based on at least one reagent and positive HCV RNA, with a mean level of (6.40±1.86)log10 IU/ml. Among these 6 patients, 5 (83%) had acute leukemia and 1 had respiratory disease; among these patients, 1 had good prognosis, 3 had poor prognosis, and 2 died. Conclusion When antibody is used as the primary screening method for HCV infection, the rate of missed detection reaches 0.16%, and most of these patients have poor prognosis. HCV RNA detection should be performed for patients with immunodeficiency to avoid missed detection.
url http://www.lcgdbzz.org/qk_content.asp?id=10081
work_keys_str_mv AT kongxiangsha screeningforhepatitiscvirusinfectioninpekinguniversitypeopleshospitalin20152018
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