When the available blood supply mismatches the needs of the patient.

BACKGROUND: Substantial regional differences in the genetic patterns related to blood group have been observed across different continents. This diversity means that the blood supply, as an essential part of patient care, is increasingly impacted by global migration. Consequently, the Austrian blood donor population does not match the immigrant patient population. This mismatch is likely to result in the formation of alloantibodies to red cell antigens in the chronically transfused. Subsequently, major difficulties in providing compatible blood emerge. MATERIAL AND METHODS: The study included patients of African origin (n=290) and Caucasians who represent the Austrian donor population (n=1,017). Genetic typing was performed for up to 69 blood group polymorphisms with a multiplex sequence specific primer-PCR including high frequency antigens and antigens for which antisera are not commercially available. By assessing differences in antigen frequencies between the two populations, and using these data for prophylactic matching, we aim to develop tools to increase the quality of patient care. RESULTS: Results indicate various and significant differences (p<0.0001) in antigen frequencies between African patients and the European donor population, especially in the MNS, Duffy, Knops and Rhesus systems. DISCUSSION: Our data highlight the importance of matching the donor population to the demographics of the patient population. In addition, it underlines the need to recruit donors of African origin and to focus on the upcoming challenges, such as malaria semi-immunity and a significantly higher rate of infectious disease in this population. It is also recommended to apply extended genetic typing to detect rare blood types, and (cryo)storage of rare blood in national and international rare blood banks. Co-operation with regional blood banks should also be encouraged.

Sample Buffer Containing Guanidine-Hydrochloride Combines Biological Safety and RNA Preservation for SARS-CoV-2 Molecular Diagnostics.

The COVID-19 pandemic has elicited the need to analyse and store large amounts of infectious samples for laboratory diagnostics. Therefore, there has been a demand for sample storage buffers that effectively inactivate infectious viral particles while simultaneously preserving the viral RNA. Here, we present a storage buffer containing guanidine-hydrochloride that fulfils both requirements. Its ability to preserve RNA stability was confirmed by RT-qPCR, and virus-inactivating properties were tested by tissue culture infectious dose assay. Our data revealed that RNA from samples diluted in this storage buffer was efficiently preserved. Spiking samples with RNase A resulted in RNAse concentrations up to 100 ng/mL being efficiently inhibited, whereas spiking samples with infectious SARS-CoV-2 particles demonstrated rapid virus inactivation. In addition, our buffer demonstrated good compatibility with several commercially available RNA extraction platforms. The presented guanidine-hydrochloride-based storage buffer efficiently inactivates infectious SARS-CoV-2 particles and supports viral RNA stability, leading to a reduced infection risk during sample analysis and an increased period for follow-up analysis, such as sequencing for virus variants. Because the presented buffer is uncomplicated to manufacture and compatible with a variety of commercially available test systems, its application can support and improve SARS-CoV-2 laboratory diagnostics worldwide.

Mathematical Model to Assess Potential Reduced Specificity When Switching to New Screening Assays at Blood Donation Centers.

BACKGROUND: Switching to new infectious disease blood donor screening assays can precipitate an initial decrease in specificity in an established donor population followed by an increase of specificity, referred to as a "cleaning effect". We developed a mathematical model to simulate this and to measure the stabilization of specificity. METHODS: A modified exponential distribution curve was created to show the impact of donation frequency on the cleaning of the donor pool. Other parameters (e.g., number of donations from repeat donors/donations per month, average and minimum times between donations, retention of regular repeat donors, ratio of false positives for regular repeat donors/first-time donors and specificity of newly introduced assays) were also used to simulate the rise and fall in number of additional false positives. The mathematical model created was compared with real-world data from a South African blood donation center. RESULTS: In the mathematical model, the degree and duration of the cleaning effect were influenced by certain parameters. A longer time interval between donations resulted in a higher number of deferred blood donations than a shorter time interval, if deferred after a 1st, 2nd or 3rd false positive result prior to a stable plateau of specificity. Real-world data on false positive, discarded donations from a South African blood donation center were consistent with numbers from the mathematical model. CONCLUSIONS: The mathematical model can identify and describe any "cleaning effect" observed upon switching to a new infectious disease blood screening assay, allowing affected blood donation centers to prepare and adjust, while specificity is stabilized.

Prevalence and risks of hepatitis E virus infection in blood donors from the Western Cape, South Africa.

BACKGROUND: Transfusion-transmitted hepatitis E virus (HEV) infection is a potential risk to recipients of blood transfusions. Infection with HEV poses a high risk to immunocompromised recipients with an increased likelihood of developing chronic infection. The aims of this study were to determine the prevalence of past and active HEV infections in donors from the Western Cape and to identify the risk factors associated with infection. MATERIALS AND METHODS: We prospectively tested 10 250 blood donors for HEV infection. A risk factor sub-study investigated 250 donors who completed a questionnaire, and plasma samples were tested for HEV IgG antibodies and pooled for HEV RNA detection. The demographic and risk factors associated with HEV infection were assessed. The molecular study tested 10 000 individual donations using a commercial assay to detect viraemia. HEV viral load and genotype were also determined. RESULTS: The overall anti-HEV IgG seroprevalence was 42·8% (107/250) among donors participating in the risk factor sub-study. The likelihood of past HEV infection was higher with an increase in age. Of the 10 000 donor samples individually tested for HEV RNA, one sample was positive with a viral load of 7·9 x 104 IU/ml and belonged to HEV genotype 3. CONCLUSION: We found a high seroprevalence of anti-HEV IgG but a low HEV RNA prevalence among donors in the Western Cape, South Africa. The study provides evidence for a potential risk of HEV contamination in the blood supply in South Africa. A cost-benefit analysis is needed before considering the introduction of routine donor screening in our setting.