Validation of sterility testing of cord blood: challenges and results
Bibliographic record
Abstract
BACKGROUND: Sterility testing for cord blood (CB) products is mandatory to prevent transplantation-transmitted microbial infections. Here, the automated BacT/ALERT (bioMérieux) culture system was validated to detect microbial contamination in CB units processed at the Canadian National Public Cord Blood Bank. STUDY DESIGN AND METHODS: A three-phase validation was developed. CB units were prepared with pentastarch (Phases 1 and 2) or hetastarch (Phase 3). In Phase 1, CB was spiked with approximately 100 colony-forming units/mL of Pseudomonas aeruginosa, Klebsiella pneumoniae, Staphylococcus aureus, Staphylococcus epidermidis, Bacteroides fragilis, and Candida albicans. Plasma (8 mL) and buffy coat (BC; 0.5 and 8 mL) were inoculated into culture bottles. In Phases 2 and 3, a mix of red blood cells (RBCs) and plasma (4 mL each) was used as the inoculant. In Phase 3, Aspergillus brasiliensis was added as a test organism and microbial concentrations in the by-product RBCs and plasma were determined. The BC fractions were cryopreserved and tested 3 months later. RESULTS: In Phase 1, bacteria failed to grow in CB units containing antibiotics. Thus, antibiotic-free units were used for the other phases. C. albicans was not always captured in plasma, but using a mix of RBCs and plasma, all organisms were detected. The use of pentastarch or hetastarch did not affect microbial recovery. C. albicans and A. brasiliensis were preferentially recovered in RBCs and BC. Cryopreservation did not affect microbial survival during CB processing. CONCLUSIONS: A mix of plasma and RBCs is appropriate for CB sterility testing. Interestingly, fungi preferentially segregate to cellular fractions. The clinical significance of the bactericidal /or bacteriostatic effect of antibiotics in CB merits further investigation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".