blood processing
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Author(s):  
Edward Cheah ◽  
Duy P. Tran ◽  
Mohamed T. Amen ◽  
R. Dario Arrua ◽  
Emily F. Hilder ◽  
...  

2021 ◽  
pp. 1-8
Author(s):  
Ana Isabel Pérez Aliaga ◽  
Gorka Labata ◽  
Alfonso Aranda ◽  
Marcia Cardoso ◽  
Fernando Puente ◽  
...  

<b><i>Introduction:</i></b> The objective of the present study was to describe the experience of the Blood and Tissues Bank of Aragon with the Reveos® Automated Blood Processing System and Mirasol® Pathogen Reduction Technology (PRT) System, comparing retrospectively routine quality data obtained in two different observation periods. <b><i>Methods:</i></b> Comparing quality data encompassing 6,525 blood components from the period 2007–2012, when the semi-automated buffy coat method was used in routine, with 6,553 quality data from the period 2014–2019, when the Reveos system and subsequently the Mirasol system were implemented in routine. <b><i>Results:</i></b> Moving from buffy coat to Reveos led to decreased discard rates of whole blood units (1.2 to 0.1%), increased hemoglobin content (48.1 ± 7.6 to 55.4 ± 6.6 g/unit), and hematocrit (58.9 ± 6.5% to 60.0 ± 4.9%) in red blood cell concentrates. Platelet concentrates (PCs) in both periods had similar yields (3.5 ×10<sup>11</sup>). Whereas in the earlier period, PCs resulted from pooling 5 buffy coats, in the second period 25% of PCs were prepared from 4 interim platelet units. The mean level of factor VIII in plasma was significantly higher with Reveos (92.8 vs. 97.3 IU). Mirasol PRT treatment of PCs reduced expiry rates to 1.2% in 2019. One septic transmission was reported with a non-PRT treated PCs, but none with PRT-treated PCs. <b><i>Conclusion:</i></b> Automation contributed to standardization, efficiency, and improvement of blood processing. Released resources enabled the effortless implementation of PRT. The combination of both technologies guaranteed the self-sufficiency and improvement of blood safety.


Author(s):  
Nicolas Malvaux ◽  
Anne Schuhmacher ◽  
Fanette Defraigne ◽  
Remy Jacob ◽  
Aicha Bah ◽  
...  

iScience ◽  
2021 ◽  
pp. 102404
Author(s):  
Adam K. Savage ◽  
Miriam V. Gutschow ◽  
Tony Chiang ◽  
Kathy Henderson ◽  
Richard Green ◽  
...  

2021 ◽  
Vol 1869 (3) ◽  
pp. 140581
Author(s):  
Bernardo Bonilauri ◽  
Marlon D.M. Santos ◽  
Amanda Caroline Camillo-Andrade ◽  
Saloê Bispo ◽  
Fabio C.S. Nogueira ◽  
...  

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Patrick Halvey ◽  
Victor Farutin ◽  
Laura Koppes ◽  
Nur Sibel Gunay ◽  
Dimitrios A. Pappas ◽  
...  

Abstract Background Plasma is a potentially rich source of protein biomarkers for disease progression and drug response. Large multi-center studies are often carried out to increase the number of samples analyzed in a given study. This may increase the chances of variation in blood processing and handling, leading to altered proteomic results. This study evaluates the impact of blood processing variation on LC–MS/MS proteomic analysis of plasma. Methods Initially two batches of patient plasma samples (120 and 204 samples, respectively) were analyzed using LC–MS/MS shotgun proteomics. Follow-up experiments were designed and carried out on healthy donor blood in order to examine the effects of different centrifugation conditions, length of delay until first centrifugation, storage temperature and anticoagulant type on results from shotgun proteomics. Results Variable levels of intracellular proteins were observed in subsets of patient plasma samples from the initial batches analyzed. This observation correlated strongly with the site of collection, implicating variability in blood processing procedures. Results from the healthy donor blood analysis did not demonstrate a significant impact of centrifugation conditions to plasma proteome variation. The time delay until first centrifugation had a major impact on variability, while storage temperature and anticoagulant showed less pronounced but still significant effects. The intracellular proteins associated with study site effect in patient plasma samples were significantly altered by delayed processing also. Conclusions Variable blood processing procedures contribute significantly to plasma proteomic variation and may give rise to increased intracellular proteins in plasma. Accounting for these effects can be important both at study design and data analysis stages. This understanding will be valuable to incorporate in the planning of protein-based biomarker discovery efforts in the future.


2021 ◽  
Vol 9 ◽  
pp. 205031212110549
Author(s):  
Nakul P. Raykar ◽  
Jennifer Makin ◽  
Monty Khajanchi ◽  
Bernard Olayo ◽  
Alejandro Munoz Valencia ◽  
...  

There is a critical shortage of blood available for transfusion in many low- and middle-income countries. The consequences of this scarcity are dire, resulting in uncounted morbidity and mortality from trauma, obstetric hemorrhage, and pediatric anemias, among numerous other conditions. The process of collecting blood from a donor to administering it to a patient involves many facets from donor availability to blood processing to blood delivery. Each step faces particular challenges in low- and middle-income countries. Optimizing existing strategies and introducing new approaches will be imperative to ensure a safe and sufficient blood supply worldwide.


2020 ◽  
Vol 11 ◽  
Author(s):  
Manon Bardyn ◽  
Agathe Martin ◽  
Nora Dögnitz ◽  
Mélanie Abonnenc ◽  
Andrew Dunham ◽  
...  

Objective: Unexpectedly wide distribution (&lt;10 to &gt;90%) of hemoglobin oxygen saturation (sO2) within red cell concentrates (RCCs) has recently been observed. Causes of such variability are not yet completely explained whereas the roles of oxygen and oxidative lesions during the storage of RCCs are known. The objectives of the present study are to characterize sO2 distribution in RCCs produced in a Swiss blood center and to investigate the influence of processing and donors’ characteristics.Methods: The level of sO2 was measured in 1701 leukocyte-depleted RCCs derived from whole blood donations in both top–bottom (TB; component filtered, SAGM) and top–top (TT; whole blood filtration, PAGGSM) RCCs. The sO2 value was measured non-invasively through the PVC bag prior to storage by resonance Raman spectroscopy. Gender, age, blood type, hemoglobin level, and living altitude of donors, as well as process method and time-to-process were recorded.Results: Overall, the sO2 exhibited a wide non-Gaussian distribution with a mean of 51.2 ± 18.5%. Use of top-top kits resulted in a 16% higher sO2 (P &lt; 0.0001) than with top-bottom ones. Waiting time before processing only had a modest impact, but the blood processing itself reduced the sO2 by almost 12% (P &lt; 0.0001). sO2 was also significantly affected by some donors’ characteristics. RCCs from men exhibited 25% higher sO2 (P &lt; 0.0001) than those donated by women. Multivariate analysis revealed that the apparent correlation observed with hemoglobin level and age was actually due to multicollinearity with the sex variable. Finally, we noticed no significant differences across blood type but found that altitude of residence was associated with the sO2 (i.e., higher in higher living place).Conclusion: These data confirm wide sO2 distribution in RCCs reported recently. The sO2 was impacted by the processing and also by donors’ characteristics such as the gender and the living altitude, but not by the hemoglobin level, blood group and donor age. This study provides new hints on the factors influencing red blood cells storage lesions, since they are known to be related to O2 content within the bags, giving clues to better process and to better store RCCs and therefore potentially improve the efficacy of transfusion.


Author(s):  
A. Martusevich ◽  
A Galka ◽  
E Golygina ◽  
A Fedotova ◽  
A Tuzhilkin

The aim of the study was comparative estimation of the changes of oxidative metabolism and crystallogenic properties of blood plasma under processing with cold helium plasma and non-ionized helium flow. It was stated that cold helium plasma and non-ionized helium modified crystallogenic properties of blood plasma under blood processing in vitro.


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