CROI 2015 Program and Abstracts

Poster Listings

614 The POC Alere q HIV-1/2 Detect Test for Detection and Quantification of HIV-2 Ming Chang 1 ; KatjaWeimar 2 ; Dana N. Raugi 1 ; Robert A. Smith 1 ; Selly Ba 3 ; Moussa Seydi 3 ; Katrin Steinmetzer 2 ; RobertW. Coombs 1 ; Geoffrey S. Gottlieb 1 UW-Dakar HIV-2 Study Group 1 University of Washington, Seattle, WA, US; 2 Alere Technologies GmbH, Jena, Germany; 3 Service des Maladies Infectieuses, CHNU de Fann, Dakar, Senegal 615 Performance of HIV Viral Load with Dried Blood Spots in Children on ART in Mozambique Amina M. de Sousa Muhate 1 ; James C. Houston 2 ; Mariamo Assane 1 ; Joy Chang 2 ; Emilia Koumans 2 ; IleshV. Jani 1 ; Jennifer Sabatier 2 ; Paula M.Vaz 3 ; ChunfuYang 2 ; Emilia Rivadeneira 2 1 Ministry of Health, Mozambique, Mozambique; 2 Centers for Disease Control and Prevention, Atlanta, GA, US; 3 Fundação Ariel Glaser Contra o SIDA Pediátrico, Maputo, Mozambique 616 Cost-Effectiveness of Pooled PCR Testing of Dried Blood Spots for Infant HIV Diagnosis Cari van Schalkwyk 2 ; Jean Maritz 2 ; Alex Welte 1 ; Gert U. van Zyl 2 ;Wolfgang Preiser 2 1 University of Stellenbosch, South Africa, Stellenbosch, South Africa; 2 University of Stellenbosch, Tygerberg, South Africa 617 Evaluating Dried Blood Spot Performance in Assessing HIV Treatment Failure in Uganda Allen Roberts ; Herbert C. Duber; Ming Chang; Anne Gasasira; Gloria Ikilezi; Jane Achan; Joan Dragavon; Glenda Daza; Emmanuela Gakidou; RobertW. Coombs Makerere University College of Health Sciences, Kampala, Uganda 618 Comparison of Pooled RNA and 4 th Gen Ag/Ab Testing to Identify Acute HIV Infection Gary Murphy ; Simon Carne; Bharati Patel; Elaine Mckinney; Samual Moses; Noel Gill; John Parry; JenniferTosswill Public Health England, London, United Kingdom 619 Improved Viral Load Monitoring Capacity With Rank-Based Algorithms for Pooled Assays Tao Liu 1 ; Joseph Hogan 1 ; Renxia Huang 3 ; Rami Kantor 2 1 Brown University, Providence, RI, US; 2 Miriam Hospital, Alpert Medical School, Brown University, Providence, RI, US; 3 Fulcrum Analytics Inc, Fairfield, CT, US 2:30 pm– 4:00 pm Comparison of HIV Incidence Assays 620 Evaluation of Determine TM HIV-1/2 Ag/Ab Combo in the Context of Acute HIV Screening Silvina Masciotra 1 ; S. Michele Owen 1 ;Wei Luo 1 ; EmilyWestheimer 2 ; Stephanie Cohen 3 ; Laura Hall 4 ; Cindy L. Gay 5 ; Philip J. Peters 1 1 US Centers for Disease Control and Prevention (CDC), Atlanta, GA, US; 2 New York City Department of Health and Mental Hygiene, New York, NY, US; 3 San Francisco Department of Public Health, San Francisco, CA, US; 4 ICF International, Atlanta, GA, US; 5 University of North Carolina, Chapel Hill, NC, US 621 Performance of the Geenius HIV-1/HIV-2 Assay in the CDC HIV Testing Algorithm Kevin P. Delaney ; Steven Ethridge; Laura G.Wesolowski; MIchele Owen; Bernard M. Branson US Centers for Disease Control and Prevention (CDC), Atlanta, GA, US 622 The Effect of HIV-1 Subtype A, C and D on Cross-Sectional Incidence Assay Performance Andrew F. Longosz 2 ; Mary Grabowski 2 ; Charles S. Morrison 3 ; Ronald H. Gray 2 ; Connie Celum 4 ; Quarraisha Abdool Karim 5 ; Hilmarie Brand 6 ;Thomas C. Quinn 1 ; Susan H. Eshleman 2 ; Oliver B. Laeyendecker 1 1 National Institute of Allergy and Infectious Diseases, Baltimore, MD, US; 2 Johns Hopkins University, Baltimore, MD, US; 3 FHI 360, Durham, NC, US; 4 University of Washington, Seattle, WA, US; 5 CAPRISA, University of KwaZulu-Natal, Congella, South Africa; 6 SACEMA, Stellenbosch University, Stellenbosch, South Africa WEDNESDAY, FEBRUARY 25, 2015 Session P-M2 Poster Session Poster Hall

623 Avidity Assay for Cross-Sectional Incidence Based on a 4 th -Generation Combo Ag/Ab EIA Allison R. Kirkpatrick 1 ; Eshan U. Patel 1 ; Connie L. Celum 2 ; Richard D. Moore 3 ; Joel N. Blankson 3 ; Shruti H. Mehta 4 ; Gregory D. Kirk 4 ;Thomas C. Quinn 1 ; Susan H. Eshleman 2 ; Oliver B. Laeyendecker 1 1 National Institutes of Health, Baltimore, MD, US; 2 University of Washington, Seattle, WA, US; 3 Johns Hopkins University School of Medicine, Baltimore, MD, US; 4 Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US; 5 Johns Hopkins University School of Medicine, Baltimore, MD, US 624 Estimation of HIV Incidence in a High-HIV-Prevalence Setting, South Nyanza, Kenya, 2012 Andrea A. Kim 1 ; David Maman 2 ; Harrison Fredrick Omondi 3 ; Alex Morwabe 3 ; Irene Mukui 4 ; Valarie Opollo 3 ; Beatrice Kirubi 5 ; Jean-François Etard 2 ; MartinusW. Borgdorff 7 ; Clement Zeh 7 1 US Centers for Disease Control and Prevention, Dpo, AE, US; 2 Médecins Sans Frontières, Paris, France; 3 Kenya Medical Research Institute (KEMRI)/CDC Research and Public Health Collaboration, Kisumu, Kenya; 4 Kenya Ministry of Health, Nairobi, Kenya; 5 Médecins Sans Frontières, Nairobi, Kenya; 6 US Centers for Disease Control and Prevention (CDC), Kisumu, Kenya; 7 US Centers for Disease Control and Prevention (CDC), Kisumu, Kenya 625 False Recent Rates for Two Recent Infection Testing Algorithms, South Nyanza, Kenya Clement Zeh 1 ; David Maman 4 ; Harrison Omondi 2 ; Alex Morwabe 2 ; Collins Odhiambo 2 ; Beatrice Kirubi 4 ; Irene Mukui 3 ; MartinusW. Borgdorff 1 ; Jean-François Etard 4 ; Andrea A. Kim 1 1 US Centers for Disease Control and Prevention, Kisumu, Kenya; 2 Kenya Medical Research Institute, Kisumu, Kenya; 3 National AIDS and STI Control and Prevention, Nairobi, Kenya; 4 Médecins Sans Frontières, Paris, France 626 Viral Load is Critical in Limiting False-Recent Results FromHIV Incidence Assays Reshma Kassanjee 1 ; Shelley Facente 2 ; Sheila Keating 3 ; Elaine McKinney 4 ; Kara Marson 2 ; Christopher D. Pilcher 2 ; Michael Busch 3 ; Gary Murphy 4 ; Alex Welte 1 The Consortium for the Evaluation and Performance of HIV Incidence Assays (CEPHIA) 1 South African DST/NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), University of Stellenbosch, Stellenbosch, South Africa; 2 University of California San Francisco, San Francisco, CA, US; 3 Blood Systems Research Institute, San Francisco, CA, US; 4 Public Health England, London, United Kingdom 627 Use of the Sample-to-Cutoff Ratio (S/CO) to Identify Recency of HIV-1 Infection Eric M. Ramos ; José Ortega; Glenda Daza;Yuree Namkung; Socorro Harb; Joan Dragavon; RobertW. Coombs University of Washington, Seattle, WA, US 628 An Abbott Architect Combo Signal to Cut-Off RatioWith Adequate PPV to ConfirmHIV Tomas O. Jensen 1 ; Peter Robertson 2 ; Jeffrey J. Post 1 1 Prince of Wales Hospital, Randwick, Australia; 2 South Eastern Area Laboratory Services, Prince of Wales Hospital, Sydney, Australia 629 Determining HIV Status of African Adults With Discordant HIV Rapid Tests Jessica M. Fogel 1 ; Estelle Piwowar-Manning 1 ; Mark A. Marzinke 1 ;William Clarke 1 ; Michal Kulich 2 ; Jessie K. Mbwambo 3 ; Linda Richter 4 ; Glenda Gray 5 ;Thomas J. Coates 6 ; Susan H. Eshleman 1 1 Johns Hopkins University School of Medicine, Baltimore, MD, US; 2 Charles University, Prague, Czech Republic; 3 Muhimbili University Teaching Hospital, Dar es Salaam, United Republic of Tanzania; 4 Universities of the Witwatersrand and KwaZulu-Natal, Durban, South Africa; 5 South African Medical Research Council, Cape Town, South Africa; 6 David Geffen School of Medicine and University of California Los Angeles Health, Los Angeles, CA, US

Poster Listings

50

CROI 2015