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The Organization of the National Blood Bank for Rare Blood Units in France

2008· article· en· W2588274291 on OpenAlexaboutno aff
Anne Fialaire‐Legendre, Btissam Chami, Thierry Peyrard, Pierre‐Yves Le Pennec, Philippe Bierling, F. Noizat‐Pirenne

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationMedicineAntigenDonationBlood bankBlood transfusionImmunologyAndrologyEmergency medicineEnvironmental health

Abstract

fetched live from OpenAlex

Abstract A rare erythrocyte phenotype is characterized by the absence of expression of a high-frequency antigen on red blood cells or the absence of several antigens within the same blood group. In France, a blood group is considered rare when the frequency in the general population is less than 1/4000. Allo-immunization against lacking antigens through transfusion or pregnancy requires providing adapted transfusion-support in order to secure further transfusions. A national file of individuals including both patients and donors has been implemented for more than 20 years, along with a national rare blood bank (BNSPR) designed to provide rare blood 24 hours a day. The organization is based on cooperation between the National Blood Service (EFS) and the National Reference Center for Blood Groups (CNRGS). Rare blood donation is anonymous, homologous and non paid. Special dispensations are applied compared to the standard blood donation rules: age of donor, absence of leucodepletion, specific agreement for markers except HIV. The BNSPR is in charge of the rare blood unit management (reception, freezing, storage, thawing, distribution, delivering, and shipping) and of the sample storage. RBCs are freezed under −80°C with glycerol according to the Valeri’s method. The post wash storage period is limited to 24h in the open system of cryopreservation because the deglycerolization step is performed in an open system. In the automated closed system, RBCs can be both glycerolized and deglycerolized, and then the post wash storage in SAGM at +4°C is extended to 7 days. In both systems, the mean value of freeze-thaw wash process recovery is 79.5%. The mean percentage of haemolysis and residual extracellular glycerol, measured on the day of deglycerolization, are 0.2% and 0.15g respectively. From 2002 to 2007, 4064 units were frozen, 1076 were thawed for 211 patients and 2426 were destroyed for storage regulation. The aim of regulation is to reach for almost all units the standard blood donation rules, but also to improve the phenotypic and genotypic characteristics of the units. As an example, in the FY blood group, only the RH:−20, KEL: −6 units will be maintained in the frozen stock in order to avoid allo-immunization against low frequency antigens, difficult to detect in a routine laboratory. At the end of 2007, 9600 individuals are listed in the national file, 5470 blood units corresponding to 1603 donors are frozen. 97% of the donors are typed at least in the RH, KEL, FY, JK and MNS. More than 125 rare specificities are represented with the following repartition of the units: FY: −1, −2 (25%), KEL: −2 (18%), YT: −1 (15%), rare RH (8%), Vel-negative (6.5%), MNS: −3, −4, −5 (6%) LU: −2 (5%). Units from Afro-Caribbean donors represent 35% of the stock. 83% of the units are stored for less than 10 years and 84% are tested for HIV and HCV NAT. 2% of the units present biological abnormality markers, 2% have medical counter-indications in the donors and 0.9 % are not leuco-depleted. The mean number of transfused units per patient is 5.8 (min=1, max=36 for a KEL: −2 individual). The mean number of transfusion episodes per patient is 2.5 (min=1, max=16 for a FY: −1, −2 individual). Since 2002, the BNSPR has been helping other countries and 16 units have been shipped to different regions e.g. Canada, The Netherlands, Belgium, Germany, Switzerland. France should now define its policy regarding the shipping of rare blood units to foreign countries in order to extend this service to longer populations. This may be done in the cooperation frame of the European Council.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.220
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2008
Admission routes1
Has abstractyes

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