Lakshmi Vemu, Sudha Talasila, Dandona Rakhi, Teja Vijay D, Kumar G Anil, Dandona Lalit
Department of Microbiology, Nizam's Institute of Medical Sciences, Hyderabad, India.
School of Public Health and George Institute for International Health, University of Sydney, Sydney, Australia.
J Med Microbiol. 2009 Mar;58(Pt 3):312-317. doi: 10.1099/jmm.0.005249-0.
Dried blood spots (DBSs) on filter paper are being used increasingly in population-based human immunodeficiency virus (HIV) studies. This study evaluated the application of a BED enzyme immunoassay (EIA) on DBSs to estimate HIV incidence in a population-based study in India. The Calypte HIV-1 BED Incidence EIA was performed on 224 HIV-1-positive DBS samples, after screening 12 617 individuals from a population-based sample in Guntur district in the southern Indian state of Andhra Pradesh. The number of recently infected HIV cases was identified using this BED assay and was used to estimate the annual HIV incidence rate based on calculations and adjustment formulae suggested by the Centers for Disease Control and Prevention (CDC). The updated BED data management software provided by the CDC was used for analyses. Of the 224 HIV-1 antibody-positive DBS samples, 29 (12.95 %) were estimated by the BED HIV-1 assay to have been infected within the past 155 days. After adjusting for age, gender and rural/urban distribution of the population, the annual incidence rate of HIV-1 infection was estimated to be 0.32 % (95 % confidence interval 0.20-0.44 %). This annual incidence was 18.6 % of the HIV prevalence of 1.72 % in this study. Thus, the BED assay revealed a higher incidence of HIV in this study than was expected from the prevalence. Correlation of the BED assay with panel testing and longitudinal incidence data in the Indian population is needed to calibrate it for use in India.
滤纸上的干血斑(DBS)在基于人群的人类免疫缺陷病毒(HIV)研究中越来越多地被使用。本研究评估了BED酶免疫测定法(EIA)在DBS上的应用,以估计印度一项基于人群的研究中的HIV发病率。在对印度南部安得拉邦贡图尔地区基于人群的样本中的12617人进行筛查后,对224份HIV-1阳性DBS样本进行了Calypte HIV-1 BED发病率EIA检测。使用该BED检测方法确定最近感染HIV的病例数,并根据美国疾病控制与预防中心(CDC)建议的计算方法和调整公式来估计年度HIV发病率。使用CDC提供的最新BED数据管理软件进行分析。在224份HIV-1抗体阳性DBS样本中,BED HIV-1检测估计有29份(12.95%)在过去155天内受到感染。在对人群的年龄、性别和农村/城市分布进行调整后,HIV-1感染的年度发病率估计为0.32%(95%置信区间0.20 - 0.44%)。该年度发病率为本研究中1.72%的HIV患病率的18.6%。因此,在本研究中BED检测显示的HIV发病率高于根据患病率预期的发病率。需要将BED检测与印度人群中的分组检测和纵向发病率数据进行关联,以校准其在印度的使用。