Optimizing Platelet Transfusion for Clinical Practice. Do Platelets's Age Matter for Therapeutic Platelets Transfusion?
Bibliographic record
Abstract
Background: Platelet concentrates (PCs) with the imple-mentation of bacterial testing have a storage period of 7 days. It was reported that platelet function decreased gradually in vitro until the 5th or 7th day of storage. Pooled PCs (PPCs) are main-ly used in Europe and Canada and there is the possibility to use many PPCs with 7 days storage for transfusion in case of bleeding or massive transfusion. Aim of Study: The aim of this study is to test in vitro both storage conditions and function of platelet-rich plasma (PRP-PCs) during storage for 7 days to assess the function of the PCs for the possibility to extend the use of stored PCs up to 7 days and its use for therapeutic and massive platelets transfusion. Patients and Methods: In this study 18 PRP-PCs, were evaluated for chemical analysis by measuring pH, LDH pro-duction, and glucose consumption levels and platelet aggre-gation testing using adenosine diphosphate (ADP), collagen (COLL), and ristocetin (RIST) and epinephrine (EPI) on days 1,3,5, and 7 of storage of PCs. Results: The platelets yield was >5.58 x 1010 which indi-cates accurate platelet separation and storage. The metabolic parameters indicated stable storage conditions throughout the 7-day period. The chemical analysis showed that there is stable pH during all days of storage above 6.4. Aggregation respons-es of the PCs decreased gradually and significantly (p<0.001) starting from 1st day when compared with 3rd, 5th and 7th day. On the 7th day the platelets lost their response to EPI and ADP, while still maintaining a normal response to RIST and weak to COLL. Conclusion: There is a loss of some function on the 6-7th day of platelet storage which may indicate that it is suitable for prophylactic more than therapeutic transfusion. In order to pro-vide more clinical benefit to the patients with thrombocytopen-ic bleeding, the platelets should be less than 7 days of storage.
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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 | 0.006 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".