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Rossi's principles of transfusion medicine
Rossi's Principles of Transfusion Medicine is the most comprehensive and practical reference on transfusion science and medicine available
* Led by a world class Editor team, including two past-presidents of AABB, a past- President of the American Board of Pathology and members of the FDA Blood Products Advisory Committee , and international contributor team
* Comprehensive reference resource, considered the gold standard in transfusion
* Covers current hot topics such as donor care – including the frequency of donation and management of iron deficiency/status), patient blood management, hemovigilance, cstem cell therapies, and global aspects of the organization of transfusion and transplant services
* New material on molecular immunohematology
* Companion website includes figures, full text and references
eBook
The life of Dr. Charles Drew : blood bank innovator
Today, thanks to the work of a brilliant young doctor, blood banks and successful blood transfusions are commonplace. Dr. Charles Drew's pioneering research with blood plasma and storage made this possible.
Book
Crisis in the Sustainability of the U.S. Blood System
Current methods of paying blood banks for blood products are forcing a substantial number of suppliers to operate at a loss. Changes in the system may be required to ensure the safety and adequacy of the supply of blood products.
Journal Article
Integrating machine learning and encryption for effective data management in blood bank supply chains
The security and efficient management of healthcare data—especially in blood bank supply chains are of paramount importance due to the sensitive, diverse, and time-critical nature of the information involved. Existing approaches frequently fall short in balancing data protection, computational efficiency, and compliance with privacy regulations. This study introduces a robust, privacy-preserving framework that integrates AES-GCM encryption and hash-block storage to ensure secure cloud-based data handling. A novel component of this framework is the host-proof storage feature selector, which dynamically identifies sensitive features from healthcare datasets for secure cloud storage without compromising data usability. The framework employs the Banyan Tree Growth Optimization algorithm to fine-tune the hyperparameters of the XGBoost classifier, significantly enhancing prediction accuracy and minimizing processing time. To ensure trust and transparency in data retrieval, an Integrity Verification Block incorporating a Third-Party Auditor (TPA) is designed, using SVM-based feature matching to validate data authenticity within the cloud. Experimental evaluation on real-world healthcare datasets demonstrates the proposed system’s high effectiveness across multiple metrics. The BTGO-optimized XGBoost model achieved a classification accuracy of 99%, a reduction in error rate, and a 37% improvement in processing time compared to baseline models. Encryption latency averaged 0.23 s, and integrity verification via TPA was completed within 0.12 s. These results highlight the system’s ability to improve data reliability, security, and regulatory compliance while ensuring scalability and efficiency in cloud environments. Overall, the proposed model addresses critical limitations in existing solutions and offers a practical, secure, and high-performance approach to healthcare data management in real-world cloud-based applications. The framework achieved 99.72% classification accuracy, with AES-GCM encryption latency reduced to 0.23s and third-party verification performed in under 0.12s, validating the model’s real-time effectiveness in secure healthcare data management. The proposed model achieved a classification accuracy of 99.72%, outperforming baseline methods such as SVM and RF by over 6%. Compared to similar encryption-integrated models, our approach demonstrated 2–3× lower latency and real-time verifiability, confirming its suitability for cloud-based healthcare applications.
Journal Article
Internal quality assessment of blood components at Mansoura university blood transfusion center
In modern blood banking, quality control of blood products ensures the timely availability of a blood component of high-quality yield with maximum efficacy and minimal risk to potential recipients. A prospective cross-sectional study was carried out at Mansoura University Hospital Blood Bank (MUHBB) aiming to assess the internal quality control (IQC) of 300 units of each blood components, red blood cell concentrates (RBCs), fresh frozen plasma (FFP), and platelet concentrates (PCs), and to explore their compliance with The Egyptian National Blood Transfusion Services (NBTS ),The American Association of Blood Banks (AABB), and Council of Europe (CE) standard criteria. IQC of different blood products was accepted if > 90% of units were fulfilled the standard requirements. The results of our study show that the total compliance of RBCs was 93.3% according to NBTS and CE standards and 96% as regards AABB standards. The total compliance of FFP was 94.0% according to NBTS and CE standards and 96.0% as regards AABB standards. While the total compliance of PCs was 96.0% according to NBTS and AABB standards and 93.3% as regards CE standards. Continuous improvement is recommended to decrease the percentage of noncompliance in the QC parameters included in our study and to uplift the blood transfusion practices.
Journal Article
Cord blood banking: Experts raise concern over claims made for stem cell applications
Marketing by some private biobanks may be misleading expectant parents about the procedure’s value, writes Jacklin Kwan
Journal Article
Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning
Despite the efforts of the World Health Organization, blood transfusions and delivery are still the crucial challenges in blood supply chain management, especially when there is a high demand and not enough blood inventory. Consequently, reducing uncertainty in blood demand, waste, and shortages has become a primary goal. In this paper, we propose a smart platform-oriented approach that will create a robust blood demand and supply chain able to achieve the goals of reducing uncertainty in blood demand by forecasting blood collection/demand, and reducing blood wastage and shortage by balancing blood collection and distribution based on an effective blood inventory management. We use machine learning and time series forecasting models to develop an AI/ML decision support system. It is an effective tool with three main modules that directly and indirectly impact all phases of the blood supply chain: (i) the blood demand forecasting module is designed to forecast blood demand; (ii) blood donor classification helps predict daily unbooked donors thereby enhancing the ability to control the volume of blood collected based on the results of blood demand forecasting; and (iii) scheduling blood donation appointments according to the expected number and type of blood donations, thus improving the quantity of blood by reducing the number of canceled appointments, and indirectly improving the quality and quantity of blood supply by decreasing the number of unqualified donors, thereby reducing the amount of invalid blood after and before preparation. As a result of the system’s improvements, blood shortages and waste can be reduced. The proposed solution provides robust and accurate predictions and identifies important clinical predictors for blood demand forecasting. Compared with the past year’s historical data, our integrated proposed system increased collected blood volume by 11%, decreased inventory wastage by 20%, and had a low incidence of shortages.
Journal Article
Don't break the (blood) bank: Can waste be minimized in a whole blood program?
Wastage concerns are a barrier to adopting whole blood (WB) therapy in trauma patients. Converting aging WB to red blood cell units (RBCs) may minimize wastage.
Blood bank records for WB and standard blood products were retrospectively reviewed at a level 1 trauma center from 8/2020 - 3/2023. Secondary analysis of outcomes for patients requiring trauma activation and receiving WB or RBC within 4 h of arrival was performed. Blood wastage and outcomes were compared.
WB and type-O RBCs had comparable wastage rates (0.7 vs 0.5 %). 677 WB units were transfused, while 668 were converted and transfused as RBCs. 9 were wasted, none expired. 496 patients met secondary analysis criteria. 168 received WB. WB transfusion ratios were more balanced and outcomes were similar compared to component therapy (COMP).
Converting aging WB to RBCs resulted in minimal blood wastage, with similar outcomes and more balanced transfusion ratios compared to COMP.
•Whole blood (WB) is increasingly used to resuscitate trauma patients.•Concern for waste limits wider adoption.•Converting aging WB to red blood cell units (RBCs) may mitigate waste.•Use of this strategy resulted in minimal waste of WB and WB-derived RBCs.•Compared to component, WB had equivalent outcomes, more balanced transfusion ratios.
Journal Article
Prevalence and Factors Associated with transfusion-transmissible infections among blood donors in Arua regional blood bank, Uganda
Background
Blood transfusion services play a very key role in modern health care service delivery. About 118.5 million blood donations were collected globally in 2022. However, about 1.6 million units of blood are destroyed annually due to transfusion-transmissible infections (TTIs). There is a very high risk of TTIs through donated blood to recipients if safe transfusion practices are not observed. This study determined the prevalence and factors associated with TTIs among blood donors in Arua regional blood bank, Uganda.
Methods
This study was a retrospective cross-sectional design that involved a review of a random sample of 1370 blood donors registered between January 1st, 2018 and December 31st, 2019 at Arua regional blood bank, Uganda. Descriptive statistics were used to describe the characteristics of the blood donors. The binary logistic regression was used to determine the factors associated with TTIs.
Results
The majority of the blood donors were male (80.1%), and the median donor age was 23 years (IQR = 8 years). The overall prevalence of TTIs was found to be 13.8% (95%CI: 12.0-15.6%), with specific prevalences of 1.9% for HIV, 4.1% for HBV, 6.6% for HCV and 2.8% for
treponema pallidum
. Male sex (AOR = 2.10, 95%CI: 1.32–3.36, p-value = 0.002) and lapsed donor type compared to new donor type (AOR = 0.34, 95%CI: 0.13–0.87, p-value = 0.025) were found to be associated with TTIs.
Conclusion
The prevalence of TTIs among blood donors of West Nile region, Uganda was found to be significantly high, which implies a high burden of TTIs in the general population. Hence, there is need to implement a more stringent donor screening process to ensure selection of risk-free donors, with extra emphasis on male and new blood donors. Additionally, sensitization of blood donors on risky behaviors and self-deferral will reduce the risk of donating infected blood to the recipients.
Journal Article