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Record W2757129688 · doi:10.1111/vox.12548

Enlargement of the <scp>WHO</scp> international repository for platelet transfusion‐relevant bacteria reference strains

2017· article· en· W2757129688 on OpenAlexaff
Eva Spindler‐Raffel, Richard J. Benjamin, Carl McDonald, Sandra Ramírez‐Arcos, Kate Aplin, Isabelle Bekeredjian‐Ding, Dirk de Korte, Christian Gabriel, Birgit Gathof, K.‐M. Hanschmann, Kai Hourfar, Charlotte Ingram, Michael R. Jacobs, Shawn D. Keil, Yuntong Kou, B. Lambrecht, J. H. Marcelis, Z. Mukhtar, Hideto Nagumo, Truscha Niekerk, J. Rojo, Susanne Marschner, Masahiro Satake, Axel Seltsam, Erhard Seifried, Shaheen Sharafat, Melanie Störmer, Susanne Süßner, Stephen J. Wagner, Roslyn Yomtovían

Bibliographic record

VenueVox Sanguinis · 2017
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsCanadian Blood Services
FundersBundesministerium für Gesundheit
KeywordsMicrobiologyMorganella morganiiStreptococcus dysgalactiaeBacillus cereusSerratia marcescensCereusEnterobacter cloacaeBiologySalmonellaEnterobacterLeukoreductionStaphylococcus aureusStreptococcusStreptococcus agalactiaeBacteriaEscherichia coliEnterobacteriaceaeBlood transfusionImmunology

Abstract

fetched live from OpenAlex

Background and Objectives Interventions to prevent and detect bacterial contamination of platelet concentrates (PCs) have reduced, but not eliminated the sepsis risk. Standardized bacterial strains are needed to validate detection and pathogen reduction technologies in PCs. Following the establishment of the First International Reference Repository of Platelet Transfusion‐Relevant Bacterial Reference Strains (the ‘repository’), the World Health Organization (WHO) Expert Committee on Biological Standardisation (ECBS) endorsed further repository expansion. Materials and Methods Sixteen bacterial strains, including the four repository strains, were distributed from the Paul‐Ehrlich‐Institut (PEI) to 14 laboratories in 10 countries for enumeration, identification and growth measurement on days 2, 4 and 7 after low spiking levels [10–25 colony‐forming units (CFU)/PC bag]. Spore‐forming (Bacillus cereusPEI‐B‐P‐07‐S, Bacillus thuringiensisPEI‐B‐P‐57‐S), Gram‐negative (Enterobacter cloacaePEI‐B‐P‐43, Morganella morganiiPEI‐B‐P‐74, PEI‐B‐P‐91, Proteus mirabilisPEI‐B‐P‐55, Pseudomonas fluorescensPEI‐B‐P‐77, Salmonella choleraesuisPEI‐B‐P‐78, Serratia marcescensPEI‐B‐P‐56) and Gram‐positive (Staphylococcus aureusPEI‐B‐P‐63, Streptococcus dysgalactiaePEI‐B‐P‐71, Streptococcus bovisPEI‐B‐P‐61) strains were evaluated. Results Bacterial viability was conserved after transport to the participating laboratories with one exception (M. morganiiPEI‐B‐P‐74). All other strains showed moderate‐to‐excellent growth. Bacillus cereus, B. thuringiensis, E. coli, K. pneumoniae, P. fluorescens, S. marcescens, S. aureus and S. dysgalactiae grew to >106 CFU/ml by day 2. Enterobacter cloacae, P. mirabilis, S. epidermidis, S. bovis and S. pyogenes achieved >106 CFU/ml at day 4. Growth of S. choleraesuis was lower and highly variable. Conclusion The WHO ECBS approved all bacterial strains (except M. morganiiPEI‐B‐P‐74 and S. choleraesuisPEI‐B‐P‐78) for repository enlargement. The strains were stable, suitable for spiking with low CFU numbers, and proliferation was independent of the PC donor.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.035
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0060.006
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0080.006

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 head0.028
GPT teacher head0.285
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations36
Published2017
Admission routes1
Has abstractyes

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