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Record W4387572124 · doi:10.1111/trf.143_17554

P‐BB‐39 | Frequency of Vasovagal Reactions with Large‐Volume Plasma Donations in Canada

2023· article· en· W4387572124 on OpenAlexaffabout
Aditi Khandelwal, K. Romans, James D. Carswell, Mindy Goldman

Bibliographic record

VenueTransfusion · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsCanadian Blood Services
Fundersnot available
KeywordsCitationLibrary scienceMedicinePolitical scienceLawComputer science

Abstract

fetched live from OpenAlex

Vasovagal reactions (VVR) are reported as one of the most common adverse events with blood donation, and there is concern of increased VVR with large volume plasma collection. There is limited research from blood operators regarding the optimal combination of VVR mitigation strategies. Here we describe the observed rate of VVR at our new plasma collection sites between 2020 and 2022. Plasmapheresis donors can donate weekly with the maximum volume per donation decided based on the total estimated blood volume (TEBV) which is calculated based on measured height and weight. There is a stepwise process for increasing plasma volume collected, starting at 13% TEBV and progressing to a maximum of 18% TEBV. At every subsequent donation, donors were asked about experiencing vasovagal reactions prior to progressing to a higher TEBV threshold. Donors with over 562 mL of plasma volume collected were also given a 500 mL saline infusion. All donors are also advised to eat pre-donation, participate in directed applied muscle tension during procedure and consume at least 500 mL of water and eat a salty snack post-procedure while resting. Data regarding gender at registration, volume progression, VVR rate and severity were analyzed between January 01 2020 to December 31 2022. Between 2020 and 2022, 19,185 donors made 78,401 donations. The average age of donors was 43 years. Of these, 36,961 (47.1%) of donations were made by donors registered as female. At the end of 2022, 18.5% of the donors registered as female and 24.3% of donors registered as male had completed the volume progression and were at 18% TEBV donation level. The overall frequency of VVR amongst donors registered as male was 14 in 10,000 donations, while those registered as female was 37 in 10,000 donations. Moderate to severe VVR occurred at 199 (0.25%) donations. Of these, 86 (43.2%) VVRs were severe. Amongst the donors with VVR, 136 were registered as female with 31 at their first donation. Of the 63 reactions in donors registered as male, 37 were at their first donation. Of the VVR reported, 170 (85.4%) occurred during donation. Saline was administered in 52906 (67.4%) of donations with VVR reported in 32 of these donations, and the odds of having a VVR with saline of 0.0923 (95% confidence interval 0.063 to 0.135; p < .0001). Within the first 2 years of large volume plasma collections at dedicated sites and current mitigation strategies, the VVR rate has been reported in 0.25% of donations with a reduced odds ratio during the procedures where saline infusions are given.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.015
GPT teacher head0.216
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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