Determination of HIV status and identification of incident HIV infections in a large, community-randomized trial: HPTN 071 (PopART).
Susan H EshlemanEstelle Piwowar-ManningEthan A WilsonDenni LennonJessica M FogelYaw AgyeiPhilip A SullivanLei WengAyana MooreOliver LaeyendeckerBarry KosloffJustin BwalyaGerald J MaarmanAnneen van DeventerSian FloydPeter BockHelen AylesSarah FidlerRichard J HayesDeborah J Donnellnull nullPublished in: Journal of the International AIDS Society (2020)
This report demonstrates that the streamlined, algorithmic approach effectively identified HIV infections in this large cluster-randomized trial. Longitudinal HIV testing (all participants, all visits) and quality control testing provided useful data on the frequency of errors and provided more accurate data for HIV incidence estimates.
Keyphrases
- hiv testing
- men who have sex with men
- hiv positive
- antiretroviral therapy
- hiv infected
- human immunodeficiency virus
- hepatitis c virus
- hiv aids
- quality control
- electronic health record
- healthcare
- cardiovascular disease
- mental health
- risk factors
- south africa
- type diabetes
- high resolution
- deep learning
- mass spectrometry
- adverse drug
- molecularly imprinted
- simultaneous determination