Validation of sterility testing of cord blood: challenges and results
Why this work is in the frame
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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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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it