BED捕获酶免疫试验方法检测HIV-1新发感染的系统评价

陶钧; 赵晶; 刘勇; 孟令章; 于石成; 蒋岩; 肖瑶

Abstract

陶钧,赵晶,刘勇,孟令章,于石成,蒋岩,肖瑶.BED捕获酶免疫试验方法检测HIV-1新发感染的系统评价[J].Chinese journal of Epidemiology,2011,32(2):177-181

BED捕获酶免疫试验方法检测HIV-1新发感染的系统评价

A system review on the application of BED-capture enzyme immunoassay in detecting new HⅣ一1 infection

Received:September 17, 2010

DOI：

KeyWord: BED捕获酶免疫试验 HIV-1感染率系统评价

English Key Word: BED-capture enzyme immunoassay HⅣ-l prevalence rate System review

FundProject:国家科技重大专项(2008ZXl0001-003)；北京市重大专项(D09050704090905)

Author Name	Affiliation	E-mail
TAO Jun	National AIDs, HCV Reference Laboratory, National Center for AIDS／STD Control and Prevention, Chinese Center for Diseases Control and Prevention. beijing 102206. China
ZHAO Jing	National AIDs, HCV Reference Laboratory, National Center for AIDS／STD Control and Prevention, Chinese Center for Diseases Control and Prevention. beijing 102206. China
LIU Yong	Guizhou Provincial Center for Disease Control and Prevention
MENG Ling-zhang	National AIDs, HCV Reference Laboratory, National Center for AIDS／STD Control and Prevention, Chinese Center for Diseases Control and Prevention. beijing 102206. China
YU Shi-cheng	Institute of AlDS Control and Prevention
JIANG Yan	National AIDs, HCV Reference Laboratory, National Center for AIDS／STD Control and Prevention, Chinese Center for Diseases Control and Prevention. beijing 102206. China	jiangyan03@263．Net
XIAO Yao	National AIDs, HCV Reference Laboratory, National Center for AIDS／STD Control and Prevention, Chinese Center for Diseases Control and Prevention. beijing 102206. China	xiaoyao@chinaaids．Org

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Abstract:

目的分析BED捕获酶免疫试验(BED-CEIA)是否适合在大范围人群内应用,对BED-CEIA与队列研究获取HIV-1新发感染率的一致性和BED-CEIA错分现象对新发感染率结果影响进行系统评价.方法利用系统评价的方法分析符合纳入标准的文献,其中10篇入选BED-CEIA与队列研究获取HIV-1新发感染率一致性的探讨,11篇文献入选BED-CEIA的错分现象研究.结果 BED-CEIA计算的HIV-1新发感染率与队列观察的新发感染率一致性与研究地区、研究设计相关,非洲地区的一致性较差,BED-CEIA的样本采集时间与队列随访同步研究获取的新发感染率一致性较好.BED-CEIA的错分现象研究共收集到7303份长期感染者(LTI)样本,错分为新近感染的样本数为432,错分粗率为5.9%,其95%CI:5.36～6.44.BED-CEIA的错分率与HIV-1感染时间和CD4+T淋巴细胞计数相关,而与人群(中国女性性工作者、静脉吸毒人群)和地区(中国与非洲地区)无显著相关.结论 BED-CEIA计算的HIV-1新发感染率与队列研究观察的新发感染率,其一致性随研究地区和研究设计的不同而有差异;BED-CEIA错分现象与HIV-1感染者的免疫状况相关.

English Abstract:

Objective To study whether BED-capture enzyme immunoassay (CEIA) is feasible to be used in wide-ranging population, we collect papers and conference abstracts related to BED-CEIA and HIV-1 incidence. Methods 10 papers are included for the discussion, regarding the concordance between the estimated HIV-1 incidence from BED-CEIA and the results from a cohort studies; and 11 papers are selected to discuss the related misclassification on the estimation of HIV-1incidence. Results Concordance between the two sets is related to the districts and design of research. Results from Africa are not so satisfactory, but researches, those BED-CEIA samples are collected during the follow-up of the cohort study, have shown better outcomes than other ones. There are totally 7303 samples of LTI (long-term infections) collected for analyzing the misclassification of BED-CEIA. 432 LTI are misclassified as new infections, making the raw rate of misclassification as 5.9% with 95% confidential interval between 5.36 and 6.44. Data from systematic review shows that the BED-CEIA's misclassification rate relates to the count of CD4+T lymphocytes and time after the infection but has no relation to the classification of sub-populations (female sexual workers and intravenous drug users in China) and districts (China and Africa). Conclusion Our results reveal that the misclassification is relevant to the immune-status of the infected persons.

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