A regional haemovigilance retrospective study of four types of therapeutic plasma in a ten-year survey period in France
Article first published online: 7 JAN 2013
© 2013 The Author(s). Vox Sanguinis © 2013 International Society of Blood Transfusion
Volume 104, Issue 4, pages 337–341, May 2013
How to Cite
Bost, V., Odent-Malaure, H., Chavarin, P., Benamara, H., Fabrigli, P. and Garraud, O. (2013), A regional haemovigilance retrospective study of four types of therapeutic plasma in a ten-year survey period in France. Vox Sanguinis, 104: 337–341. doi: 10.1111/vox.12007
- Issue published online: 22 APR 2013
- Article first published online: 7 JAN 2013
- Manuscript Accepted: 19 NOV 2012
- Manuscript Revised: 10 NOV 2012
- Manuscript Received: 24 JUL 2012
- adverse events;
- fresh-frozen plasma;
- therapeutic plasma;
- transfusion safety
Background and objectives
Our objective was to compare the frequency of adverse events (AEs) due to any of the 4 types of fresh-frozen plasma (FFP) prepared and delivered by the French Blood Establishment (EFS) over a 10-year period. Surveillance of AEs and vigilance was performed according to a homogeneous policy. The four types of FFP comprised of one type (methylene blue [MB) that was stopped since then and of another type [amotosalen (AI)] that was recently introduced, along with two conventional products [quarantine (Q) and solvent–detergent (SD)].
Materials and Methods
This is a retrospective study based on the national AE reporting database and on the regional database system for deliveries. AEs recorded after the delivery of 1 of the 4 types of FFP were pairwise compared, with appropriate statistical corrections.
105 964 FFP units were delivered (38·4% Q, 17·9% SD, 9·7% MB and 34% AI).
Statistical comparisons of AEs identified only a difference in AE rates between quarantine and solvent–detergent plasma.
FFP was confirmed to be extremely safe in general, especially if one considers ‘severe’ AEs. All types of FFP were associated with extremely low occurrences of AEs. Q, SD, MB and AI led, respectively, to 7·14, 4·86, 1·05 and 4·16 AEs per 10 000 deliveries.