• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用免疫测定数据和临床专业知识预测丙型肝炎病毒血症

Prediction of the hepatitis C viremia using immunoassay data and clinical expertise.

作者信息

Chiquete Erwin, Sánchez Laura V, Maldonado Montserrat, Quezada Daniel, Panduro Arturo

机构信息

Department of Molecular Biology in Medicine, Hospital Civil de Guadalajara Fray Antonio Alcalde México.

出版信息

Ann Hepatol. 2005 Apr-Jun;4(2):107-14.

PMID:16010243
Abstract

Detection of anti-hepatitis C virus (anti-HCV) antibodies may yield a high frequency of false-positive results in people at low risk. To date, no clinical rule had been developed to predict viremia in HCV-seropositive patients. Therefore, we aimed to generate a prediction rule on the basis of clinical and serologic data, which can be used in outpatient care. We selected 114 seropositive patients without antiviral treatment or hepatitis B coinfection. Subsequently we identified independent predictors of the hepatitis C viremia by logistic regression and selected the quantitative value of the screening test for anti-HCV antibodies with the best performance in detecting viremia. Then, we combined clinical and serologic data to generate different prediction rules. Ratio of immunoassay signal strength of the sample to cut-off (S/CO) >15 had accuracy, positive predictive value (PPV) and positive likelihood ratio (LR+) of 84%, 83%, and 3.7; respectively. The rule compounded of the antecedent of blood transfusion before 1993 and S/CO >15 performed the best in prediction of viremia in all patients, with accuracy, PPV and LR+ of 71%, 88%, and 5.6; respectively. In the group of asymptomatic patients this rule improved in efficacy of prediction, with accuracy, PPV and LR+ of 79%, 91% and 12.8; respectively. In conclusion, a clinical rule is better than S/CO alone in prediction of the hepatitis C viremia. In a patient that meet the rule the probability of having viremia is high, therefore, it can be indicated directly an assay for viral load instead of other supplemental tests, thus, saving time and economic resources.

摘要

在低风险人群中,抗丙型肝炎病毒(抗-HCV)抗体检测可能会产生较高频率的假阳性结果。迄今为止,尚未制定出用于预测HCV血清学阳性患者病毒血症的临床规则。因此,我们旨在基于临床和血清学数据生成一种预测规则,可用于门诊护理。我们选择了114例未接受抗病毒治疗或未合并乙型肝炎感染的血清学阳性患者。随后,我们通过逻辑回归确定丙型肝炎病毒血症的独立预测因素,并选择在检测病毒血症方面表现最佳的抗-HCV抗体筛查试验的定量值。然后,我们结合临床和血清学数据生成不同的预测规则。样本免疫测定信号强度与临界值之比(S/CO)>15时,准确率、阳性预测值(PPV)和阳性似然比(LR+)分别为84%、83%和3.7。由1993年前输血史和S/CO>15组成的规则在所有患者的病毒血症预测中表现最佳,准确率、PPV和LR+分别为71%、88%和5.6。在无症状患者组中,该规则的预测效能有所提高,准确率、PPV和LR+分别为79%、91%和12.8。总之,在预测丙型肝炎病毒血症方面,临床规则比单独的S/CO更好。对于符合该规则的患者,出现病毒血症的可能性很高,因此,可以直接进行病毒载量检测,而无需进行其他补充检测,从而节省时间和经济资源。

相似文献

1
Prediction of the hepatitis C viremia using immunoassay data and clinical expertise.利用免疫测定数据和临床专业知识预测丙型肝炎病毒血症
Ann Hepatol. 2005 Apr-Jun;4(2):107-14.
2
Prediction of viremia for cases of hepatitis C virus (HCV) infection using a third-generation anti-HCV enzyme immunoassay test.使用第三代抗丙型肝炎病毒酶免疫测定法预测丙型肝炎病毒(HCV)感染病例的病毒血症
Hepatogastroenterology. 2005 May-Jun;52(63):893-6.
3
[Guideline for interpretation and report of the antibody to hepatitis C virus. Grupo de Desarrollo de la Guía ].[丙型肝炎病毒抗体检测结果解读与报告指南。指南制定小组]
Rev Invest Clin. 2012 Nov-Dec;64(6 Pt 2):641-78.
4
Antibody testing and RT-PCR results in hepatitis C virus (HCV) infection: HCV-RNA detection in PBMC of plasma viremia-negative HCV-seropositive persons.丙型肝炎病毒(HCV)感染的抗体检测与逆转录聚合酶链反应结果:血浆病毒血症阴性的HCV血清阳性者外周血单核细胞中的HCV-RNA检测
Infection. 1998 May-Jun;26(3):151-4. doi: 10.1007/BF02771840.
5
[Efficacy of absorbance ratio of ELISA antibodies [corrected] for hepatitis C virus of 3th generation in the prediction of viremia evaluated by PCR].[第三代丙型肝炎病毒ELISA抗体[校正后]吸光度比值在通过PCR评估病毒血症预测中的效能]
Rev Gastroenterol Mex. 2007 Jan-Mar;72(1):34-9.
6
Anti-HCV antibody titer highly predicts HCV viremia in patients with hepatitis B virus dual-infection.抗 HCV 抗体滴度高度预测乙型肝炎病毒双重感染患者的 HCV 病毒血症。
PLoS One. 2021 Jul 1;16(7):e0254028. doi: 10.1371/journal.pone.0254028. eCollection 2021.
7
Improved reflexive testing algorithm for hepatitis C infection using signal-to-cutoff ratios of a hepatitis C virus antibody assay.基于丙型肝炎病毒抗体检测的信号-截断比值的丙型肝炎感染自动反射性检测算法的改进。
Clin Chem. 2011 Jul;57(7):1050-6. doi: 10.1373/clinchem.2010.158691. Epub 2011 May 12.
8
[Prevalence of hepatitis C virus infection in Morocco and serological tests assessment of detection for the viremia prediction].[摩洛哥丙型肝炎病毒感染的患病率及用于病毒血症预测检测的血清学试验评估]
Pathol Biol (Paris). 2009 Jul;57(5):368-72. doi: 10.1016/j.patbio.2008.07.006. Epub 2008 Oct 7.
9
[Investigation of Anti-HCV S/CO Value in Detecting Viremia in Patients with Hepatitis C Virus Infection].[丙型肝炎病毒感染患者抗-HCV S/CO值检测病毒血症的研究]
Mikrobiyol Bul. 2020 Jan;54(1):110-119. doi: 10.5578/mb.68833.
10
Outcome of an optional HCV screening program for blood transfusion recipients in Ireland.爱尔兰针对输血受者的一项选择性丙型肝炎病毒筛查项目的结果。
Transfusion. 2002 Nov;42(11):1501-6. doi: 10.1046/j.1537-2995.2002.00224.x.

引用本文的文献

1
Anti-HCV antibody titer highly predicts HCV viremia in patients with hepatitis B virus dual-infection.抗 HCV 抗体滴度高度预测乙型肝炎病毒双重感染患者的 HCV 病毒血症。
PLoS One. 2021 Jul 1;16(7):e0254028. doi: 10.1371/journal.pone.0254028. eCollection 2021.
2
Establishing a sample-to cut-off ratio for lab-diagnosis of hepatitis C virus in Indian context.在印度背景下建立用于丙型肝炎病毒实验室诊断的样本与临界值比率。
Asian J Transfus Sci. 2015 Jul-Dec;9(2):185-8. doi: 10.4103/0973-6247.154259.
3
Prevalence, sociodemographic characteristics and risk factors for hepatitis C infection among pregnant women in Calabar municipality, Nigeria.
尼日利亚卡拉巴尔市孕妇丙型肝炎感染的患病率、社会人口学特征及危险因素
Hepat Mon. 2010 Spring;10(2):116-20. Epub 2010 Jun 1.
4
Significance of anti-HCV signal-to-cutoff ratio in predicting hepatitis C viremia.抗 HCV 信号-截止值比值在预测丙型肝炎病毒血症中的意义。
Korean J Intern Med. 2009 Dec;24(4):302-8. doi: 10.3904/kjim.2009.24.4.302. Epub 2009 Nov 27.