Plasma self-sufficiency in Spain

Toward a Sociology of Plasma Products

Over the past 20 years, plasma has become a medical treatment characterized as "liquid gold" to signal its lifesaving potential. Through a manufacturing process termed fractionation, plasma, collected through blood donation, is turned into Plasma Derived Medical Products (PDMPs). The World Health Organization (WHO) has underlined the importance of PDMPs for global health care, including a number of PDMPs on the WHO Model List of Essential Medicines. The process of collecting plasma from a donor, manufacturing plasma derived treatments, and distributing those treatments globally requires the coordination of multiple social actors operating in different social, political and economic contexts, but has received little attention in scholarly literature on public policy or the social sciences. This paper will introduce a set of analytic questions and concepts that can direct a sociology of plasma products. We build on the behavioral turn in the policy sciences to identify relevant policy questions emerging from this field and offer the analytic tools necessary to investigate how different social actors in this space make meaning of plasma. To do this, we will draw on key concepts in the sociology of health and illness.

Routine results of an algorithm for managing the production of blood components

BACKGROUND AND OBJECTIVES

The variability in the number of donations together with a growing demand for platelet concentrates and plasma-derived medicines make us seek solutions aimed at optimizing the processing of blood. Some mathematical models to improve efficiencies in blood banking have been published. The goal of this work is to validate and evaluate an algorithm's impact in the production of blood components in the Blood and Tissues Bank of Aragon (BTBA).

MATERIALS AND METHODS

A mathematical algorithm was designed, implemented and validated through simulations with real data. It was incorporated into the fractionation area, which uses the Reveos® fractionation system (Terumo BCT) to split blood into its components. After 9 months of daily routine validation, retrospective activity data from the Blood Bank and Transfusion Services before and during the use of the algorithm were compared.

RESULTS

Using the algorithm, the outdating rate of platelet concentrates (PC) decreased by 87.8% in the blood bank. The average shelf life remaining of PC supplied to Transfusion Services increased by almost 1 day. As a consequence, the outdating rate in the Aragon Transfusion Network decreased by 33%. In addition, extra 100 litres of plasma were obtained in 9 months.

CONCLUSIONS

The algorithm improves the blood establishment's workflow and facilitates the decision-making process in whole blood processing. It resulted in a decrease in PC outdating rate, increase in PC shelf life and finally an increase in the volume of recovered plasma, leading to significant cost savings.

Effects of the COVID-19 pandemic on supply and use of blood for transfusion

The COVID-19 pandemic has major implications for blood transfusion. There are uncertain patterns of demand, and transfusion institutions need to plan for reductions in donations and loss of crucial staff because of sickness and public health restrictions. We systematically searched for relevant studies addressing the transfusion chain-from donor, through collection and processing, to patients-to provide a synthesis of the published literature and guidance during times of potential or actual shortage. A reduction in donor numbers has largely been matched by reductions in demand for transfusion. Contingency planning includes prioritisation policies for patients in the event of predicted shortage. A range of strategies maintain ongoing equitable access to blood for transfusion during the pandemic, in addition to providing new therapies such as convalescent plasma. Sharing experience and developing expert consensus on the basis of evolving publications will help transfusion services and hospitals in countries at different stages in the pandemic.