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Record W2971467278 · doi:10.1182/blood-2018-99-118078

Fibrinogen Concentrate Vs. Cryoprecipitate for Acquired Hypofibrinogenemia in Cardiac Surgery — the FIBRES Study

2018· article· en· W2971467278 on OpenAlexaff
Jo Carroll, Keyvan Karkouti

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsUniversity Health NetworkToronto General Hospital
Fundersnot available
KeywordsCryoprecipitateHypofibrinogenemiaMedicineFibrinogenCoagulopathySurgeryHemostasisBlood transfusionCardiopulmonary bypassAdverse effectThromboelastographyBlood productCardiac surgeryRandomized controlled trialClinical endpointInternal medicineCoagulation

Abstract

fetched live from OpenAlex

Abstract Introduction: Cardiac surgery involving cardiopulmonary bypass (CPB) is associated with coagulopathy and excessive bleeding. This often requires the transfusion of large volumes of allogeneic blood products and is linked to an increased risk of adverse outcomes. A primary cause of coagulopathy is acquired hypofibrinogenemia; when fibrinogen levels drop below 1.5-2 mg/L, fibrinogen supplementation is required to maintain hemostasis. The FIBrinogen REplenishment in Surgery (FIBRES) study aims to compare the standard intervention, cryoprecipitate, with a new highly purified, double virus-inactivated human fibrinogen concentrate. Methods: The FIBRES study (NCT03037424) is a pragmatic, multicenter, active-control, randomized, single-blinded, non-inferiority phase 3 trial in adult patients undergoing cardiac surgery with CPB. The study will enroll patients with clinically significant bleeding associated with acquired hypofibrinogenemia. Patients for whom fibrinogen supplementation is ordered within 24 hours of surgery will be randomized to receive fibrinogen concentrate (4 g; Fibryga; Octapharma) or cryoprecipitate (10 units; dose equivalent to 4 g fibrinogen concentrate) (Figure 1). All randomized patients will receive fibrinogen supplementation as clinically indicated. Owing to the emergency nature of the clinical setting, patient consent at the point of randomization will be waived, with written informed consent obtained within 24-48 hours thereafter. The primary outcome is total allogeneic blood products (red blood cells, plasma, platelets) administered within the first 24 hours of surgery. Secondary outcomes include blood product use within 7 days, incidence of major bleeding within 24 hours, fibrinogen levels, and adverse events (AEs) and serious AEs within 28 days. Enrolment of 1,200 patients will provide >90% power to demonstrate non-inferiority, assuming a 20% non-inferiority margin, ≥550 patients per group, and an approximate 10% drop-out rate. One pre-planned interim analysis will be conducted after data are available for 600 evaluable patients with the option to stop early for futility or overwhelming efficacy. The pragmatic design and treatment algorithm align with standard practice, aiding adherence and generalizability. Results: To date, 530 patients have been treated across 11 sites. An IDMEAC review of safety has been performed every 100 patients enrolled, with the recommendation to continue as planned each time. The study is expected to complete in late 2018, with results available in early 2019. Conclusions: The FIBRES study is the largest randomized study to date of fibrinogen concentrate versus cryoprecipitate in adult cardiac surgical patients, an under-studied yet high-risk population. Non-inferiority of the new fibrinogen concentrate would support its use for patients developing acquired hypofibrinogenemia during cardiac surgery. Results from the FIBRES study are likely to improve care for cardiac surgical patients experiencing significant bleeding. Disclosures Karkouti: Octapharma US: Research Funding.

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)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.034
GPT teacher head0.291
Teacher spread0.257 · 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 designRandomized trial
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
Published2018
Admission routes1
Has abstractyes

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