MétaCan
Menu
Back to cohort
Record W1922748934 · doi:10.1111/anae.13196

Reconstituted whole blood plus fibrinogen for massive transfusion in trauma

2015· letter· en· W1922748934 on OpenAlexaff
Anthony M.‐H. Ho, Peter W. Dion

Bibliographic record

VenueAnaesthesia · 2015
Typeletter
Languageen
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsKingston General Hospital
Fundersnot available
KeywordsMedicineFresh frozen plasmaPacked red blood cellsResuscitationPlateletFibrinogenWhole bloodBlood transfusionIntensive care medicineBlood volumeSurgeryEmergency medicineAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

The data by Ponschab et al. 1 show that reconstituted whole blood using equal numbers of units of packed red blood cells, fresh frozen plasma (FFP) and platelets contains borderline concentrations of fibrinogen. Nonetheless, in severe and continuous haemorrhage, this 1:1:1 mixture currently represents the least unbalanced solution for sustained resuscitation, both from the volume and contents perspectives. An impetus behind Ponschab et al.'s study is the ongoing controversy on how best to give plasma and platelets in trauma resuscitation requiring massive transfusion 2. On one side are clinicians who, backed up by an abundance of non-experimental studies, believe that preventing exsanguination from trauma requires the use of equivalent units of the three main blood components from the start. To achieve this, pre-thawed group-AB plasma must be constantly available such that it can be started as soon as, or almost as soon as, the first unit of universal donor packed red blood cells. This continues until the patient is stabilised, based on clinical signs and blood tests. Many civilian and military trauma centres have adopted this approach. On the other side of the controversy are authors who resist this move, and continue to advocate the traditional approach of ordering FFP and platelets only when one blood volume has been lost acutely, abnormal laboratory results are reported, or microvascular bleeding is obvious. In this latter camp, one important reason for not adopting the 1:1:1 approach is that it has never been validated through randomised controlled studies. This ignores the fact that neither approach has been so validated 3. Unfortunately, there are no randomised controlled trials comparing the two approaches. The data by Ponschab et al. 1 suggest that until we know for sure, frontline clinicians should take the commonsense approach that, in uncontrolled and profuse haemorrhage, one must replace what is lost, and what is lost is whole blood. Given what we know about the state of plasma fibrinogen and its importance in haemostasis and survival, perhaps the best resuscitating mixture in massive haemorrhage should be 1:1:1:1, with cryoprecipitate or the equivalent amount of fibrinogen added.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.045
GPT teacher head0.286
Teacher spread0.241 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAnaesthesiaSame topicTrauma, Hemostasis, Coagulopathy, ResuscitationFrench-language works237,207