| 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].中华流行病学杂志,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 |
| 收稿日期:2010-09-17 出版日期:2014-09-10 |
| DOI： |
| 中文关键词: BED捕获酶免疫试验 HIV-1感染率 系统评价 |
| 英文关键词: BED-capture enzyme immunoassay HⅣ-l prevalence rate System review |
| 基金项目:国家科技重大专项(2008ZXl0001-003)；北京市重大专项(D09050704090905) |
| 作者 | 单位 | E-mail | | 陶钧 | 中国疾病预防控制中心性病艾滋病中心参比室, 北京, 102206 | | | 赵晶 | 中国疾病预防控制中心性病艾滋病中心参比室, 北京, 102206 | | | 刘勇 | 贵州省疾病预防控制中心艾滋病防治所 | | | 孟令章 | 中国疾病预防控制中心性病艾滋病中心参比室, 北京, 102206 | | | 于石成 | 中国疾病预防控制中心卫生统计研究室 | | | 蒋岩 | 中国疾病预防控制中心性病艾滋病中心参比室, 北京, 102206 | jiangyan03@263．Net | | 肖瑶 | 中国疾病预防控制中心性病艾滋病中心参比室, 北京, 102206 | xiaoyao@chinaaids．Org |
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| 中文摘要: |
| 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. |
| 英文摘要: |
| 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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