Effect of texture of platelet bags on bacterial and platelet adhesion
Bibliographic record
Abstract
BACKGROUND: Missed detection of Staphylococcus epidermidis contamination in platelet (PLT) storage bags by the standard 24-hour-postcollection BacT/ALERT screening test has been documented. A slow growth rate and the strong tendency of this bacterium to adhere to surfaces can contribute to missed detection of the pathogen. STUDY DESIGN AND METHODS: Topography of two different PLT storage bag surfaces, textured (rough) and smooth surfaces of Terumo 80440 bags (designated A15), was studied. Adhesion of biofilm-positive and -negative S. epidermidis strains on these surfaces was evaluated under static conditions. Quality of stored PLTs in A15 bags under blood bank conditions was compared for two different bag orientations (rough vs. smooth surface down) on Days 2, 5, and 7 of storage. PLT adhesion on the surfaces was evaluated after 7 days of storage. RESULTS: Bacterial adhesion and biofilm formation were significantly higher on the rough surfaces of A15 bags compared to the smooth surfaces. After 7 days of storage in A15 bags, PLTs showed similar metabolite levels, pH, and response capacity in the bags with different orientation and more PLT adhesion and aggregation was observed on rough surfaces. CONCLUSION: Higher bacterial adhesion on rough surfaces can contribute to missed detection of bacterial strains that tend to adhere on surfaces. PLT adhesion and aggregation on rough surfaces can affect the quality and safety of PLTs by promoting more bacterial adhesion and biofilm formation on surfaces.
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".