BACKGROUND: Twenty-one blood organizations from five geographical regions provided HIV individual donation (ID)-NAT and serology data on 11,787,610 donations. Infections were classified as anti-HIV-/RNA+ window period (WP), anti-HIV+/RNA+ concordant positive (CP) or anti-HIV+/RNA- elite controller (EC). Residual risk and efficacy of several screening scenarios were estimated for first time, lapsed and repeat donations. METHODS: WP residual risk estimates assumed a 50% infectious dose of 3.16 virions and a 50% detection limit of 2.7 HIV RNA copies/mL for ID-NAT and 10,000 copies/mL for p24Ag. Infectivity for CP (100%) and EC (2.2%) donations was estimated based on viral load distributions and 100-fold reduced infectivity by antibody neutralization as reported elsewhere. Efficacy was calculated as proportion of transmission risk removed from baseline (i.e. in absence of any screening). RESULTS: There was no significant difference in transmission risk between lapsed and repeat donations in any region. Risk was 3.8-fold higher in first time than combined lapsed/repeat donations in South Africa but not in other regions. Screening strategies were most efficacious at interdicting infectious transfusions in first time (98.7-99.8%) followed by lapsed (97.6-99.7%) and repeat (86.8-97.7%) donations in all regions combined. In each donor category the efficacy of ID-NAT alone (97.7-99.8%) was superior to that of minipool (MP)-NAT/anti-HIV (95.0-99.6%) and p24 Ag/anti-HIV (89.8-99.1%). CONCLUSIONS: Efficacy patterns were similar by donor/donation status in each region despite large differences in HIV prevalence and transmission risk. As similar data become available for HBV and HCV, this modeling may be useful in cost effectiveness analyses of alternative testing scenarios.
BACKGROUND: Twenty-one blood organizations from five geographical regions provided HIV individual donation (ID)-NAT and serology data on 11,787,610 donations. Infections were classified as anti-HIV-/RNA+ window period (WP), anti-HIV+/RNA+ concordant positive (CP) or anti-HIV+/RNA- elite controller (EC). Residual risk and efficacy of several screening scenarios were estimated for first time, lapsed and repeat donations. METHODS: WP residual risk estimates assumed a 50% infectious dose of 3.16 virions and a 50% detection limit of 2.7 HIV RNA copies/mL for ID-NAT and 10,000 copies/mL for p24Ag. Infectivity for CP (100%) and EC (2.2%) donations was estimated based on viral load distributions and 100-fold reduced infectivity by antibody neutralization as reported elsewhere. Efficacy was calculated as proportion of transmission risk removed from baseline (i.e. in absence of any screening). RESULTS: There was no significant difference in transmission risk between lapsed and repeat donations in any region. Risk was 3.8-fold higher in first time than combined lapsed/repeat donations in South Africa but not in other regions. Screening strategies were most efficacious at interdicting infectious transfusions in first time (98.7-99.8%) followed by lapsed (97.6-99.7%) and repeat (86.8-97.7%) donations in all regions combined. In each donor category the efficacy of ID-NAT alone (97.7-99.8%) was superior to that of minipool (MP)-NAT/anti-HIV (95.0-99.6%) and p24 Ag/anti-HIV (89.8-99.1%). CONCLUSIONS: Efficacy patterns were similar by donor/donation status in each region despite large differences in HIV prevalence and transmission risk. As similar data become available for HBV and HCV, this modeling may be useful in cost effectiveness analyses of alternative testing scenarios.
Authors: John P Pitman; Sridhar V Basavaraju; Ray W Shiraishi; Robert Wilkinson; Bjorn von Finckenstein; David W Lowrance; Anthony A Marfin; Maarten Postma; Mary Mataranyika; Cees Th Smit Sibinga Journal: Transfusion Date: 2015-02-27 Impact factor: 3.157
Authors: Eduard Grebe; Michael P Busch; Edward P Notari; Roberta Bruhn; Claire Quiner; Daniel Hindes; Mars Stone; Sonia Bakkour; Hong Yang; Phillip Williamson; Debra Kessler; Rita Reik; Susan L Stramer; Simone A Glynn; Steven A Anderson; Alan E Williams; Brian Custer Journal: Blood Date: 2020-09-10 Impact factor: 22.113
Authors: Marion Vermeulen; Ronel Swanevelder; Dhuly Chowdhury; Charlotte Ingram; Ravi Reddy; Evan M Bloch; Brian S Custer; Edward L Murphy Journal: Emerg Infect Dis Date: 2017-09 Impact factor: 6.883
Authors: Sheila de Oliveira Garcia Mateos; Liliana Preiss; Thelma T Gonçalez; Claudia Di Lorenzo Oliveira; Eduard Grebe; Clara Di Germanio; Mars Stone; Luiz Amorim Filho; Anna Bárbara Carneiro Proietti; Andre Rolim Belisario; Cesar de Almeida-Neto; Alfredo Mendrone-Junior; Paula Loureiro; Michael P Busch; Brian Custer; Ester Cerdeira Sabino Journal: Vox Sang Date: 2020-09-30 Impact factor: 2.144
Authors: Giovanni Di Minno; Carlo Federico Perno; Andreas Tiede; David Navarro; Mariana Canaro; Lutz Güertler; James W Ironside Journal: Blood Rev Date: 2015-07-20 Impact factor: 8.250