BACKGROUND: False-positive infectious transfusion screening results remain a challenge with continued loss of both donors and blood products. We sought to identify associations between donor demographic characteristics (age, race, sex, education, first-time donor status) and testing false positive for viruses during routine blood donation screening. In addition the study assessed the prevalence of high-risk behaviors in false-positive donors. STUDY DESIGN AND METHODS: Blood Systems, Inc. donors with allogeneic donations between January 1, 2011, and December 31, 2012, were compared in a case-control study. Those with a false-positive donation for one of four viruses (human immunodeficiency virus [HIV], human T-lymphotropic virus [HTLV], hepatitis B virus [HBV], and hepatitis C virus [HCV]) were included as cases. Those with negative test results were controls. For a subset of cases, infectious risk factors were evaluated. RESULTS: Black race and Hispanic ethnicity were associated with HCV and HTLV false-positive results. Male sex and lower education were associated with HCV false positivity, and age 25 to 44 was associated with HTLV false positivity. First-time donors were more likely to be HCV false positive although less likely to be HBV and HTLV false positive. No significant associations between donor demographics and HIV false positivity were observed. A questionnaire for false-positive donors showed low levels of high-risk behaviors. CONCLUSION: Demographic associations with HCV and HTLV false-positive results overlap with those of true infection. While true infection is unlikely given current testing algorithms and risk factor evaluation, the findings suggest nonrandom association. Further investigation into biologic mechanisms is warranted.
BACKGROUND: False-positive infectious transfusion screening results remain a challenge with continued loss of both donors and blood products. We sought to identify associations between donor demographic characteristics (age, race, sex, education, first-time donor status) and testing false positive for viruses during routine blood donation screening. In addition the study assessed the prevalence of high-risk behaviors in false-positive donors. STUDY DESIGN AND METHODS: Blood Systems, Inc. donors with allogeneic donations between January 1, 2011, and December 31, 2012, were compared in a case-control study. Those with a false-positive donation for one of four viruses (human immunodeficiency virus [HIV], human T-lymphotropic virus [HTLV], hepatitis B virus [HBV], and hepatitis C virus [HCV]) were included as cases. Those with negative test results were controls. For a subset of cases, infectious risk factors were evaluated. RESULTS: Black race and Hispanic ethnicity were associated with HCV and HTLV false-positive results. Male sex and lower education were associated with HCV false positivity, and age 25 to 44 was associated with HTLV false positivity. First-time donors were more likely to be HCV false positive although less likely to be HBV and HTLV false positive. No significant associations between donor demographics and HIV false positivity were observed. A questionnaire for false-positive donors showed low levels of high-risk behaviors. CONCLUSION: Demographic associations with HCV and HTLV false-positive results overlap with those of true infection. While true infection is unlikely given current testing algorithms and risk factor evaluation, the findings suggest nonrandom association. Further investigation into biologic mechanisms is warranted.
Authors: Clive R Seed; Angelo R Margaritis; Wayne V Bolton; Philip Kiely; Susan Parker; Lisa Piscitelli Journal: Transfusion Date: 2003-02 Impact factor: 3.157
Authors: Usha K Sharma; Susan L Stramer; David J Wright; Simone A Glynn; Sigurd Hermansen; George B Schreiber; Steven H Kleinman; Michael P Busch Journal: Transfusion Date: 2003-02 Impact factor: 3.157
Authors: Susan L Stramer; Edward P Notari; Shimian Zou; David E Krysztof; Jaye P Brodsky; Gary E Tegtmeier; Roger Y Dodd Journal: Transfusion Date: 2010-10-07 Impact factor: 3.157
Authors: Yun Brenda Chang; Zhanna Kaidarova; Daniel Hindes; Marjorie Bravo; Nancy Kiely; Hany Kamel; Denise Dubay; Barbara Hoose; Edward L Murphy Journal: J Infect Dis Date: 2013-09-24 Impact factor: 5.226