BACKGROUND: Infectious disease testing has improved but viral infection transmission through transfusion continues to occur. Residual risk, however, is now so low in some countries that it can only be estimated by mathematical modeling. With hierarchical Bayesian methods, this study estimates the residual risk of transfusion-transmitted infections in Santa Catarina, Brazil. STUDY DESIGN AND METHODS: Data from the six state blood collection services covering Santa Catarina between 1998 and 2002 were used. Information was obtained on donor profiles, screening and confirmatory test results, and records of all allogeneic blood donations for repeat donors. Residual risk estimates of hepatitis B virus (HBV), human immunodeficiency virus (HIV), hepatitis C virus (HCV), and human T-cell leukemia virus (HTLV) were separately derived from posterior distributions of incidence rates and preseroconversion window-period lengths. RESULTS: Estimated risks of a donation infectious for HBV and HIV entering the blood supply are 1:10,700 (95% confidence interval [CI], 1:4900-1:28,200) and 1:26,200 (95% CI, 1:14,800-1:64,100) donations, respectively. Estimated risks for HCV and HTLV were 1:19,300 (95% CI, 1:10,400-1:44,800) and 1:116,300 (95% CI, 1:40,200-1:1,000,000) donations, respectively. HBV risk is 1.8 times greater than HCV risk, 2.4 times greater than HIV risk, and 10.8 times that of HTLV. Actual risks would be lower due to immune recipients and subinfectious levels of undetected viremia. CONCLUSION: The major factor contributing to risk differences between Santa Catarina and countries with similar testing regimes is the much higher source population diseases prevalence. Payoff for nucleic acid testing would be low, thus additional investment in safety should be based on studies of the cost-effectiveness of different strategies to reduce overall transmission.
BACKGROUND:Infectious disease testing has improved but viral infection transmission through transfusion continues to occur. Residual risk, however, is now so low in some countries that it can only be estimated by mathematical modeling. With hierarchical Bayesian methods, this study estimates the residual risk of transfusion-transmitted infections in Santa Catarina, Brazil. STUDY DESIGN AND METHODS: Data from the six state blood collection services covering Santa Catarina between 1998 and 2002 were used. Information was obtained on donor profiles, screening and confirmatory test results, and records of all allogeneic blood donations for repeat donors. Residual risk estimates of hepatitis B virus (HBV), humanimmunodeficiency virus (HIV), hepatitis C virus (HCV), and humanT-cell leukemia virus (HTLV) were separately derived from posterior distributions of incidence rates and preseroconversion window-period lengths. RESULTS: Estimated risks of a donation infectious for HBV and HIV entering the blood supply are 1:10,700 (95% confidence interval [CI], 1:4900-1:28,200) and 1:26,200 (95% CI, 1:14,800-1:64,100) donations, respectively. Estimated risks for HCV and HTLV were 1:19,300 (95% CI, 1:10,400-1:44,800) and 1:116,300 (95% CI, 1:40,200-1:1,000,000) donations, respectively. HBV risk is 1.8 times greater than HCV risk, 2.4 times greater than HIV risk, and 10.8 times that of HTLV. Actual risks would be lower due to immune recipients and subinfectious levels of undetected viremia. CONCLUSION: The major factor contributing to risk differences between Santa Catarina and countries with similar testing regimes is the much higher source population diseases prevalence. Payoff for nucleic acid testing would be low, thus additional investment in safety should be based on studies of the cost-effectiveness of different strategies to reduce overall transmission.
Authors: Anna Bárbara F Carneiro-Proietti; Ester C Sabino; Silvana Leão; Nanci A Salles; Paula Loureiro; Moussa Sarr; David Wright; Michael Busch; Fernando A Proietti; Edward L Murphy Journal: AIDS Res Hum Retroviruses Date: 2012-05-03 Impact factor: 2.205
Authors: Paula Fraiman Blatyta; Brian Custer; Thelma Terezinha Gonçalez; Rebecca Birch; Maria Esther Lopes; Maria Ines Lopes Ferreira; Anna Barbara Carneiro Proietti; Ester Cerdeira Sabino; Kimberly Page; Cesar de Almeida-Neto Journal: Transfusion Date: 2013-03-22 Impact factor: 3.157
Authors: Cesar de Almeida-Neto; Ester Cerdeira Sabino; Jing Liu; Paula Fraiman Blatyta; Alfredo Mendrone-Junior; Nanci Alves Salles; Silvana Carneiro Leão; David J Wright; Fernando Valadares Basques; João Eduardo Ferreira; Michael P Busch; Edward L Murphy Journal: Transfusion Date: 2012-08-06 Impact factor: 3.157