BACKGROUND: Separate assays are available for diagnosis and viral load (VL) monitoring of HIV-1. Studies have shown that using a single test for both confirmatory diagnosis and VL increases linkage to care. OBJECTIVE: To validate a single assay for both diagnosis and VL monitoring of HIV-1 on the fully automated Panther platform. STUDY DESIGN: Validate the assay by assessing specificity, sensitivity, subtype detection, seroconversion, reproducibility and linearity. Also assess diagnostic agreement with the Procleix(®) Ultrio Elite™ discriminatory assay (Procleix), and agreement of VL results (method comparison) with Ampliprep/COBAS TaqMan HIV-1 version 2.0 (CAP/CTM), using clinical samples. RESULTS: The assay was specific (100%) and sensitive with a 95% limit of detection of 12 copies/mL with the 3rd WHO standards. Aptima detected HIV in seroconversion panels 6 and 11 days before p24 antigen and antibody tests, respectively. Diagnostic agreement with Procleix, was 100%. Regression analysis showed good agreement of VL results between Aptima and CAP/CTM with a slope of 1.02, intercept of 0.07, and correlation coefficient (R(2)) of 0.97. Aptima was more sensitive than CAP/CTM. Equivalent quantification was seen on testing clinical samples and isolates belonging to HIV group M, N, O and P and commercially available subtype panels. Assay results were linear (R(2) 0.9994) with standard deviation of <0.17 log copies across assay range. CONCLUSIONS: The good specificity, sensitivity, precision, subtype performance and clinical agreement with other assays demonstrated by Aptima combined with the complete automation provided by the Panther platform makes Aptima a good candidate for both VL monitoring and diagnosis of HIV-1.
BACKGROUND: Separate assays are available for diagnosis and viral load (VL) monitoring of HIV-1. Studies have shown that using a single test for both confirmatory diagnosis and VL increases linkage to care. OBJECTIVE: To validate a single assay for both diagnosis and VL monitoring of HIV-1 on the fully automated Panther platform. STUDY DESIGN: Validate the assay by assessing specificity, sensitivity, subtype detection, seroconversion, reproducibility and linearity. Also assess diagnostic agreement with the Procleix(®) Ultrio Elite™ discriminatory assay (Procleix), and agreement of VL results (method comparison) with Ampliprep/COBAS TaqMan HIV-1 version 2.0 (CAP/CTM), using clinical samples. RESULTS: The assay was specific (100%) and sensitive with a 95% limit of detection of 12 copies/mL with the 3rd WHO standards. Aptima detected HIV in seroconversion panels 6 and 11 days before p24 antigen and antibody tests, respectively. Diagnostic agreement with Procleix, was 100%. Regression analysis showed good agreement of VL results between Aptima and CAP/CTM with a slope of 1.02, intercept of 0.07, and correlation coefficient (R(2)) of 0.97. Aptima was more sensitive than CAP/CTM. Equivalent quantification was seen on testing clinical samples and isolates belonging to HIV group M, N, O and P and commercially available subtype panels. Assay results were linear (R(2) 0.9994) with standard deviation of <0.17 log copies across assay range. CONCLUSIONS: The good specificity, sensitivity, precision, subtype performance and clinical agreement with other assays demonstrated by Aptima combined with the complete automation provided by the Panther platform makes Aptima a good candidate for both VL monitoring and diagnosis of HIV-1.
Authors: Mars Stone; John Bainbridge; Ana M Sanchez; Sheila M Keating; Andrea Pappas; Wes Rountree; Chris Todd; Sonia Bakkour; Mark Manak; Sheila A Peel; Robert W Coombs; Eric M Ramos; M Kathleen Shriver; Paul Contestable; Sangeetha Vijaysri Nair; David H Wilson; Martin Stengelin; Gary Murphy; Indira Hewlett; Thomas N Denny; Michael P Busch Journal: J Clin Microbiol Date: 2018-07-26 Impact factor: 5.948
Authors: Chia-Ching Wang; Cassandra Thanh; Erica A Gibson; Maya Ball-Burack; Louise E Hogan; Benjamin Descours; Norman Jones; Alexander B Carvidi; Sadie Munter; Sonia Bakkour; Michael P Busch; Jeffrey M Milush; Steven G Deeks; Timothy J Henrich Journal: Blood Adv Date: 2018-12-11
Authors: Christina Yek; Marta Massanella; Tashi Peling; Kristen Lednovich; Sangeetha V Nair; Andrew Worlock; Milenka Vargas; Sara Gianella; Ronald J Ellis; Matthew C Strain; Michael P Busch; C Thomas Nugent; Douglas D Richman Journal: J Clin Microbiol Date: 2017-06-07 Impact factor: 5.948
Authors: Malaya K Sahoo; Vici Varghese; Elizabeth White; Meg Winslow; David A Katzenstein; Robert W Shafer; Benjamin A Pinsky Journal: J Clin Microbiol Date: 2016-08-17 Impact factor: 5.948
Authors: Rebecca Rossetti; Tara Smith; Wei Luo; Jennifer Taussig; Mariah Valentine-Graves; Patrick Sullivan; Jessica M Ingersoll; Colleen S Kraft; Steve Ethridge; Laura Wesolowski; Kevin P Delaney; S Michele Owen; Jeffrey A Johnson; Silvina Masciotra Journal: J Clin Virol Date: 2020-06-01 Impact factor: 3.168
Authors: Mark M Manak; Holly R Hack; Sangeetha V Nair; Andrew Worlock; Jennifer A Malia; Sheila A Peel; Linda L Jagodzinski Journal: J Clin Microbiol Date: 2016-08-10 Impact factor: 5.948
Authors: Philip J Norris; Jinbing Zhang; Andrew Worlock; Sangeetha V Nair; Kathryn Anastos; Howard L Minkoff; Maria C Villacres; Mary Young; Ruth M Greenblatt; Seema Desai; Alan L Landay; Stephen J Gange; C Thomas Nugent; Elizabeth T Golub; Sheila M Keating Journal: Open Forum Infect Dis Date: 2016-02-08 Impact factor: 3.835
Authors: Timothy J Henrich; Corinna Schreiner; Cheryl Cameron; Louise E Hogan; Brian Richardson; Rachel L Rutishauser; Amelia N Deitchman; Simon Chu; Rodney Rogers; Cassandra Thanh; Erica A Gibson; Arya Zarinsefat; Sonia Bakkour; Francesca Aweeka; Michael P Busch; Teri Liegler; Christopher Baker; Jeffrey Milush; Steven G Deeks; Peter G Stock Journal: Am J Transplant Date: 2020-09-15 Impact factor: 9.369
Authors: Bhavna Hora; Sheila M Keating; Yue Chen; Ana M Sanchez; Ester Sabino; Gillian Hunt; Johanna Ledwaba; John Hackett; Priscilla Swanson; Indira Hewlett; Viswanath Ragupathy; Sai Vikram Vemula; Peibin Zeng; Kok-Keng Tee; Wei Zhen Chow; Hezhao Ji; Paul Sandstrom; Thomas N Denny; Michael P Busch; Feng Gao Journal: PLoS One Date: 2016-06-17 Impact factor: 3.240