56. Jahrestagung der Deutschen Gesellschaft für Transfusionsmedizin und Immunhämatologie

Prof. Dr.

Vorsitz

Dipl.-Geogr.

Machine Learning in der Transfusionsmedizin - Spielerei, oder doch mehr?

eingeladene Redner

Vortrag

Sichtbarkeit und Mobilisierung: Erstspendergewinnung in Post-Corona-Zeiten

Demographic behaviour of whole blood donors in a regional blood service - Implications for donor recruitment policies

Blood Donation

Background Demographic changes in the general population have been shown to result in changes in the blood donor population and are a major challenge to ensure a sufficient and reliable blood supply both, currently and in the coming years. Moreover, different (social) media are increasingly used to enhance donor recruitment an maintenance. We aimed to characterize the dynamics within our whole blood donor reservoir, in order to elaborate potential checkpoints to optimize mobilization to donation. Methods Donor and Donation Data were obtained using Structured Query Language Data Extraction from our database (PC-Blut, MSSE, Schwäbisch Hall, Germany). Donors were personally invited using printed invitation cards, through our own telephone call center, or contacted via E-Mail. Invitation algorithm and invitation frequencies were not grossly altered over the observation periods. In 2020, a telephone call center was installed for incoming and outgoing donation requests and dates.Results The mean frequency of whole blood donations per donor decreased from 2.6 to 1.9/year between 2010 and 2022. In parallel, the percentage of first time donors remained relatively constant in the observation period (7.4% to 8.4 %), with only a modest outlier in 2020 (9.2%). First time donors in the 18-30y age group decreased from 64% (2010) to 58% (2022), whereas they increased from 14% to 21% in the 30-39y age group, whereas the other age groups remained relatively constant. Over all age groups, the number of donors who donated once a year increased by 41% and those who donated twice by 15%, whereas, donors donating 3 and more times per year dropped from 26 to 11%.Conclusion Our data show a higher donor reservoir, but more difficulty to mobilize donors to donation. First time donor mobilization seems to get less effective in the 18-29 year olds but more effective in the 30-39 year age group. The SARS-CoV2 pandemic situation did not recognizably result in changes in these long-time trends. These data are valuable to optimize targeting age groups for new donor recruitment, and form a basis to better assess the available donor reservoir, e.g in case of blood shortages.Offenlegung Interessenkonflikt: keineInvited talks abstract/summary

Freier Vortrag

Pretransfusional electronic crossmatch prevents transfusion to the wrong patient

Hemotherapy

Background At our institution, we recorded one ABO-mismatched transfusion to a wrong patient each in 2020, 2021 and 2022, representing a rate of about 1:25,000 detected transfusions to the wrong patient. As a corrective and preventive measure and to improve patient safety, the Transfusion Responsible Person with support by the Transfusion Committee and the Regional Physicians Association (Landesärztekammer) enforced the introduction of an electronic pretransfusional crossmatch into clinical practice.Methods Our bloodbank information system (BIS) was supplemented with a pretransfusion electronic crossmatch module. Instead of a data interface between the BIS and the patient information system (KIS), a direct web-surface based entry from patient case in KIS into the BIS was established using the Windows login and password of the transfusing physician (step i) and allocating the physician to the patient (ii). Next steps are entry of bed side test results and confirmation by Windows password (iii), scan of blood product barcode (iv), and the electronic crossmatch between patient , bed side test, blood group results, issued product and product scanned on site (v). This results in a GO - PROCEED WITH TRANSFUSION or STOP - DO NOT TRANSFUSE! (step vi).Results The pretransfusion e-crossmatch module was first tested in one small outpatient unit in June 2022 and then underwent minor adaptations which helped to establish a smooth process. Training about wrongly administered products was given to physicians in an E-learning module. The system started into clinical routine in October 2022. By now, the application is mandatory in 5 clinical units covering ca. 15% of all transfusions at our University Hospital. After about 3000 pretransfusionally e-crossmatched products, the first near miss was recorded. The physician was in the process to transfuse a patient to whom the product was not assigned; the transfusion was prevented through interference by the pretransfusional e-crossmatch module.Conclusion Establishment of a pre-transfusional e-crossmatch is feasable in a University Hospital environment. Operational simplicity of the method, reliability of day-to-day function, and understanding of the risk of transfusing a wrong blood product are important for acceptance by personnel. It allows to stop paper documentation and controls for 100% documentation according to Transfusion Law (TFG). The first case of a near-miss transfusion of a product to the wrong patient proved function of the system.Offenlegung Interessenkonflikt: keineInvited talks abstract/summary

MOA 16

Sektion Versorgungsforschung – Donor Management

Sektionssitzungen

Sektion Versorgungsforschung – Donor Management

Termin

Vorsitz

Programm