Bacterial safety of blood components–a congress review of the ISBT transfusion‐transmitted infectious diseases working party, bacterial subgroup
Bibliographic record
Abstract
The ISBT Working Party on Transfusion‐Transmitted Infectious Diseases, Bacterial Subgroup (TTID‐WP‐BS) held a meeting during the 2017 ISBT Congress covering topics on safety of platelet components (PC), which are highlighted in this review. The TTID‐WP‐BS along with the Paul Ehrlich Institute have pioneered the development of bacterial strain repositories for PC and red blood cells (RBC) to be used for the validation of detection and pathogen reduction (PR) technologies. Results of the development of the RBC repository strains indicated that six bacterial strains were selected for further testing in international studies, complementing the previous study developed for PC. The THERAFLEX UV‐Platelets PR technology has used the bacterial strain repository for PC to test the effectiveness of the system with data presented in this report. Other PR studies described herein include a report of inactivation of Serratia marcescens by the INTERCEPT Blood System for PC at the levels of the PR claim. Furthermore, a summary of current and future developments of the Mirasol PR system was presented with emphasis on PR in whole blood. Advances in PC screening for bacterial contamination were covered by a comparative study of the BacT/ALERT 3D and BacT/ALERT VIRTUO systems, demonstrating that the latter has a shorter time to detection. Finally, data on septic transfusion reactions involving PC produced in plasma and platelet additive solutions indicated different clinical outcomes and screening results. The topics covered during the TTID‐WP‐BS meeting generated insightful scientific discussions and advanced knowledge, one of the most relevant activities of the Bacterial Subgroup.
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 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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".