Abstract
马文娟,汪宁.BED-CEIA估计HIV-1新近感染率的有效性及其影响因素的评价[J].Chinese journal of Epidemiology,2010,31(9):1056-1061
BED-CEIA估计HIV-1新近感染率的有效性及其影响因素的评价
Validity of using BED-CEIA to estimate HIV-1 incidence and factors influencing its validity-systematic review
Received:December 15, 2009  
DOI:
KeyWord: IgG捕获BED酶免疫方法  艾滋病毒  新近感染率  评价
English Key Word: IgG-capture BED-CEIA  Human immunodeficiency virus  Incidence  Estimation
FundProject:科技部传染病重大专项(2008ZX10001-003)
Author NameAffiliationE-mail
MA Wen-juan Peking Union Medical College, Beijing 100730, China
National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention 
 
WANG Ning National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention wangnbj@163.com 
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Abstract:
      在艾滋病流行病学研究中,衡量艾滋病流行趋势最常用的指标是HIV累积感染率和新近感染率.与累积感染率相比,新近感染率对艾滋病流行趋势预测、干预效果评价以及防制策略的制定等能提供更直接的信息.在获取新近感染率的方法中,除了经典的流行病学队列随访方法,目前普遍使用的血清学方法之一是IgG捕获BED酶联免疫法(BED-CEIA).2001年,美国疾病预防控制中心(CDC)艾滋病免疫和诊断室评估了16种基于不同抗体和原理的HIV-1新近感染检测方法,发现新近感染者与既往感染者相比,各种抗体滴度均较低;其中gp41抗体滴度在新近感染者和既往感染者中的差别最大,两者的滴度区间几乎没有重叠,新近感染者的gp41抗体亲和力低于既往感染者,从而认为gp41抗体能够区分新近感染者和既往感染者,并且酶联免疫实验操作相对简单、效果也较理想,因此该室着手开发基于gp41抗体的HIV-1新近感染检测的酶联免疫方法[1]
English Abstract:
      In the areas of prevention and life skills counseling for breast cancer, risk assessment and prediction can assist clinicians to decide if chemoprevention or prophylactic surgery is needed or suggestions on improving the quality of life for their clients. Several mathematical models, namely Gail Model, Claus Model, BRCAPRO Model and Cuzick-Tyrer Model etc. have been developed to make predictions, clinically. This paper has reviewed the development, operation, advantage versus disadvantage and areas of application for the four models. Having family history of breast cancer, one subject was calculated on the risks by the four models and different Results were found. Up to 45 years old, the accumulative risks from the four models and population risk were 1.9%, 11.8%, 2.5%, 5.0% and i.6%, respectively. To 75 years old, they were 20.2%,32.5%, 13.1%, 25.0% and 8.5%, respectively. The subject had a relatively high breast cancer risk during her lifetime. A new model is supposed to include a variety of important risk factors and to be validated by large scale of case-control samples. Incidence of breast cancer in China had significantly increased during the last ten years, but the research on developing assessment Methods of breast cancer risk had never been reported, suggesting that the development of models for Chinese population is necessary.
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