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Final Study Report of Andexanet Alfa for Major Bleeding With Factor Xa Inhibitors

2023· article· en· W4321374071 on OpenAlexafffund
Truman J. Milling, Saskia Middeldorp, Lizhen Xu, Bruce Koch, Andrew M. Demchuk, John W. Eikelboom, Peter Verhamme, Alexander T. Cohen, Jan Beyer‐Westendorf, C. Michael Gibson, José López‐Sendón, Mark Crowther, Ashkan Shoamanesh, Michiel Coppens, Jeannot Schmidt, Pierre Albaladejo, Stuart J. Connolly, Ravinder Anand, Aveh Bastani, Carol L. Clark, Mauricio Concha, John A. Cornell, Keith Dombrowski, Gregory J. Fermann, James Fulmer, Joshua N. Goldstein, D.J. Kereiakes, Daniel J. Pallin, Neha Patel, Majed A. Refaai, M. Rehman, Alvin H. Schmaier, E. Schwarz, William C. Shillinglaw, Michael Spohn, Tohru Takata, Arvind Venkat, James Welker, Ian J. Welsby, Joanna Y. Wilson, L. Van Keer, Franck Verschuren, Mark Blostein, Katharina Althaus, Jörg Berrouschot, Gary Braun, T. Doeppner, Rainer Dziewas, Sabine Genth‐Zotz, P. Greinacher, F. Hamann, Frank Hanses, W. Heide, Bernd Kallmuenzer, Pawel Kermer, Sven Poli, Georg Royl, Sebastian Schellong, Steffen Schnupp, Jürgen Schwarze, Claudia Spies, Götz Thomalla, Matthias von Mering, Karin Weißenborn, Frank A. Wollenweber, Christoph Gumbinger, Ulrich Jaschinski, M. Maschke, H-C. Mochmann, Waltraud Pfeilschifter, C. Pohlmann, Ralf Zahn, Pierre Bouzat, Cristina Díez Vallejo, Bernard Floccard, Sanne van Wissen, Eduardo Arellano‐Rodrigo, Ermengol Vallès, Raza Alikhan, Kerry J. Breen, Richard Hall, D. George Wyse, D.A. Garcia, M.H. Prins, Juliet Nakamya, H.R. Büller, K. W. Mahaffey, John H. Alexander, John A. Cairns, R G Hart, Cameron D. Joyner, Gary E. Raskob, Sam Schulman, Roland Veltkamp, Brandi Meeks, Elena Zotova, Suhail Ahmad, Terezinha de Jesus Andreoli Pinto, Kenneth R. Baker, Andrea Dykstra, I. Holadyk-Gris, Antonio Malvaso

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsSt. Thomas HospitalUniversity of CalgarySickKids FoundationMcMaster UniversityPopulation Health Research Institute
FundersCytoSorbents EuropeLEO PharmaSwedish Orphan BiovitrumBristol-Myers SquibbEli Lilly and CompanyAstraZenecaCSL BehringPfizer CanadaAlexion PharmaceuticalsNovo NordiskDaiichi Sankyo EuropeSanofiGlaxoSmithKlineBayerServierPfizer
KeywordsMedicineRivaroxabanApixabanEdoxabanInternal medicinePopulationMajor bleedingHemostasisAtrial fibrillationAnesthesiaSurgeryWarfarin

Abstract

fetched live from OpenAlex

Background: Andexanet alfa is a modified recombinant inactive factor Xa (FXa) designed to reverse FXa inhibitors. ANNEXA-4 (Andexanet Alfa, a Novel Antidote to the Anticoagulation Effects of Factor Xa Inhibitors) was a multicenter, prospective, phase-3b/4, single-group cohort study that evaluated andexanet alfa in patients with acute major bleeding. The results of the final analyses are presented. Methods: Patients with acute major bleeding within 18 hours of FXa inhibitor administration were enrolled. Co-primary end points were anti-FXa activity change from baseline during andexanet alfa treatment and excellent or good hemostatic efficacy, defined by a scale used in previous reversal studies, at 12 hours. The efficacy population included patients with baseline anti-FXa activity levels above predefined thresholds (≥75 ng/mL for apixaban and rivaroxaban, ≥40 ng/mL for edoxaban, and ≥0.25 IU/mL for enoxaparin; reported in the same units used for calibrators) who were adjudicated as meeting major bleeding criteria (modified International Society on Thrombosis and Haemostasis definition). The safety population included all patients. Major bleeding criteria, hemostatic efficacy, thrombotic events (stratified by occurring before or after restart of either prophylactic [ie, a lower dose, for prevention rather than treatment] or full-dose oral anticoagulation), and deaths were assessed by an independent adjudication committee. Median endogenous thrombin potential at baseline and across the follow-up period was a secondary outcome. Results: There were 479 patients enrolled (mean age, 78 years; 54% male; 86% White); 81% were anticoagulated for atrial fibrillation, and the median time was 11.4 hours since last dose, with 245 (51%) on apixaban, 176 (37%) on rivaroxaban, 36 (8%) on edoxaban, and 22 (5%) on enoxaparin. Bleeding was predominantly intracranial (n=331 [69%]) or gastrointestinal (n=109 [23%]). In evaluable apixaban patients (n=172), median anti-FXa activity decreased from 146.9 ng/mL to 10.0 ng/mL (reduction, 93% [95% CI, 94–93]); in rivaroxaban patients (n=132), it decreased from 214.6 ng/mL to 10.8 ng/mL (94% [95% CI, 95–93]); in edoxaban patients (n=28), it decreased from 121.1 ng/mL to 24.4 ng/mL (71% [95% CI, 82–65); and in enoxaparin patients (n=17), it decreased from 0.48 IU/mL to 0.11 IU/mL (75% [95% CI, 79–67]). Excellent or good hemostasis occurred in 274 of 342 evaluable patients (80% [95% CI, 75–84]). In the safety population, thrombotic events occurred in 50 (10%) patients; in 16 patients, these occurred during treatment with prophylactic anticoagulation that began after the bleeding event. No thrombotic episodes occurred after oral anticoagulation restart. Specific to certain populations, reduction of anti-FXa activity from baseline to nadir significantly predicted hemostatic efficacy in patients with intracranial hemorrhage (area under the receiver operating characteristic curve, 0.62 [95% CI, 0.54–0.70]) and correlated with lower mortality in patients <75 years of age (adjusted P =0.022; unadjusted P =0.003). Median endogenous thrombin potential was within the normal range by the end of andexanet alfa bolus through 24 hours for all FXa inhibitors. Conclusions: In patients with major bleeding associated with the use of FXa inhibitors, treatment with andexanet alfa reduced anti-FXa activity and was associated with good or excellent hemostatic efficacy in 80% of patients. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02329327.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.232

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 head0.127
GPT teacher head0.360
Teacher spread0.233 · 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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Citations152
Published2023
Admission routes2
Has abstractyes

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