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Optimizing a dried blood spot-based pooled RT-PCR technique for identification of acute HIV infection in Mochudi, BotswanaRG Davis1,2, S Dzoro1, S Moyo1, S Gaseitsiwe1,2, R Musonda1,2, V Novitsky1,2, M Essex1,21 Botswana-Harvard AIDS Institute Partnership, Gaborone, Botswana2 Harvard School of Public Health AIDS Initiative, Boston, United States • The residents of Mochudi, Botswana • The staff of the Botswana-Harvard Partnership • Prof. Marcello Pagano and Sarah Anoke for their biostatistics support. • This work was funded by a Fulbright/Fogarty Fellowship in Public Health administered through the Harvard School of Public Health. With thanks to:
Background / Methods • BHP combination prevention strategy including treatment-for-prevention arm. • The risk of HIV transmission is high before, during, and soon after seroconversion. • Pooling techniques have been advanced to improve cost effectiveness of nucleic acid testing for diagnosis of serologically undetectable AHI in resource limited settings. • The goal of this study is to develop and apply a novel dried blood spot (DBS)-based RT-PCR pooling technique to facilitate household sample collection, efficient diagnosis, and treatment-for-prevention. • 10 HIV positive DBS samples diluted in duplicate to 6 standardized copy numbers. RT-PCR performed using the Abbott RealTime HIV-1 assay.
Results * Figure 5.The logistic regression reflects the log odds ratios of detection: Logit(p) = β0 + β1x1 where p is the sensitivity and x is the expected viral load. Rewriting the regression equation in terms of p allows us to graph sensitivity as a function of expected viral load. *Pointwise 95% confidence interval.