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Rates of Severe Bleeding Are Low in Patients with MDS and Severe Thrombocytopenia and May be Mitigated By Tranexamic Acid

2017· article· en· W3191071188 on OpenAlexaffabout
Abi Vijenthira, D Premkumar, Richard A. Wells, Jeannie Callum, Yulia Lin, Lisa Chodirker, Martha Lenis, Alexandre Mamedov, Rena Buckstein

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineTranexamic acidPlateletPlatelet transfusionInternal medicineBlood transfusionSurgeryDemographicsBlood loss

Abstract

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Abstract Introduction: While thrombocytopenia is common and affects 29% of patients (pts) with MDS, severe thrombocytopenia (platelets (plt) Prophylactic and therapeutic plt transfusions are commonly administered to prevent bleeding in pts with MDS and severe thrombocytopenia but are inconvenient and associated with risks. Since the inception of the MDS registry in 2006 at our centre, we commonly administer tranexamic acid (TXA, 1-1.5 grams PO BID-TID) to thrombocytopenic pts with MDS to decrease minor mucosal bleeding and the use of plt transfusions for non-severe bleeds. The administration of prophylactic and/or therapeutic plt transfusions is at the discretion of the treating haematologist. Objective: To retrospectively audit the bleeding rates and transfusion requirements of pts with MDS and durable severe thrombocytopenia as related to TXA use, plt transfusions, and disease characteristics. Methods: All pts with MDS with durable severe thrombocytopenia (plt count Results: Of 200 pts with severe thrombocytopenia at any time, 99 had durable severe thrombocytopenia and were included. Demographics are presented in Table 1. The pts were classified as receiving TXA alone (n=28), TXA + PROPH, (n=39), PROPH plts alone (n=19) and untreated (n=13). Median time from diagnosis to start of durable severe thrombocytopenia was 0.9 years (IQR 0.2-2.2), duration was 27 weeks (IQR 16-49), and median plt count was 12x109/L (IQR 9-16). Pts receiving TXA +/- PROPH plts had significantly higher rates of concurrent red blood cell transfusion dependence. With a median follow-up of 0.8 years (95% CI 0.6-1.2), actuarial survival was 0.9 years (95% CI 0.7-1.2). 68% of pts were prescribed TXA at any point with a median time from onset of severe thrombocytopenia of 5 weeks (IQR 0-13) and a median duration of 23 weeks (IQR 12-41). Only 32% and 23% of TXA alone and untreated pts respectively required therapeutic plt transfusions at any point with a median time between transfusions of 2.8 and 4.0 weeks respectively. The median number of plt transfusion events per 4-week period was 0 for TXA alone and untreated pts compared with 2.2 and 3.1 events for TXA + PROPH or PROPH alone (p During the period of severe thrombocytopenia, 82% (81/99) of pts had at least one bleeding event, and 5% (5/99) had a grade 4 bleeding event. There was a significant difference in grade 1 and 2 bleeding rates between groups, with the highest rates in pts on TXA +/- PROPH plts (Table 2). There was no significant difference in grade 3 or 4 bleeding rates between groups. Conclusions: Patients with MDS and durable severe thrombocytopenia at a Canadian tertiary care centre had low rates of major bleeding (5%) compared to what has been previously reported in the literature, but poor overall survival. Seventy-one percent of severely thrombocytopenic pts on TXA or no therapy required no therapeutic platelet transfusions for the duration of study follow-up. The benefit of TXA and/or prophylactic platelet transfusions for the prevention of bleeding would be best evaluated in the context of a randomized controlled trial. Download : Download high-res image (224KB) Download : Download full-size image Disclosures Wells: Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees. Lin: Pfizer: Honoraria; Pfizer: Other: advisory board; CSL Behring, Grifols: Other: unrestricted education grant; Novartis: Research Funding. Buckstein: Celgene: Honoraria, Research Funding; Astex: Honoraria.

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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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.231
Teacher spread0.221 · 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.

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".

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Citations1
Published2017
Admission routes2
Has abstractyes

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