Skip to main navigation Skip to search Skip to main content

Bayesian Reanalyses of the Trials TOMAHAWK and COACT

  • Tharusan Thevathasan
  • , Anne Freund
  • , Eva Spoormans
  • , Jorrit Lemkes
  • , Michelle Roßberg
  • , Carsten Skurk
  • , Stephan Fichtlscherer
  • , Ibrahim Akin
  • , Georg Fuernau
  • , Christian Hassager
  • , Uwe Zeymer
  • , Michael R. Preusch
  • , Tobias Graf
  • , Christian Jung
  • , Mohamed Abdel-Wahab
  • , Alexander Jobs
  • , Ulrich Laufs
  • , P. Christian Schulze
  • , Axel Linke
  • , Suzanne de Waha
  • Janine Pöss, Holger Thiele, Steffen Desch*
*Corresponding author for this work
  • Charite - Universitatsmedizin Berlin
  • Deutsches Herzzentrum Berlin
  • University of Amsterdam
  • University of Leipzig
  • Johann Wolfgang Goethe-University
  • University of Mannheim
  • Medizinische Hochschule Brandenburg Theodor Fontane
  • University of Copenhagen, Denmark
  • Klinikum der Stadt Ludwigshafen
  • Ruprecht-Karls Universität Heidelberg
  • University of Düsseldorf
  • Heinrich-Heine-University
  • Friedrich Schiller University Jena
  • Universitätsklinikum Carl Gustav Carus

Abstract

Background: The timing of coronary angiography in patients with successfully resuscitated out-of-hospital cardiac arrest and missing ST-segment elevations on the electrocardiogram has been investigated in 2 large randomized controlled trials, TOMAHAWK (Angiography After Out-of-Hospital Cardiac Arrest Without ST-Segment Elevation) and COACT (Coronary Angiography After Cardiac Arrest Trial). Both trials found neutral results for immediate vs delayed/selective coronary angiography on short-term all-cause mortality. The TOMAHAWK trial showed a tendency towards harm with immediate coronary angiography, though not statistically significant with traditional frequentist methods. Probabilistic analyses of both trials may enable greater clinical understanding of the trial findings. Objectives: The purpose of this study was to perform reanalyses of both trials within a Bayesian framework. Methods: Post hoc analyses of both multicenter randomized controlled trials were performed in both cohorts separately and combined. The primary endpoint, 30-day all-cause mortality, was analyzed using Bayesian logistic regression. A spectrum of priors included “flat,” “neutral,” “optimistic,” and “pessimistic” priors based on assumptions made when designing both trials. Results: In the TOMAHAWK trial, immediate coronary angiography showed a very high posterior probability of increased mortality between 90% and 97% across all priors. The ORs across all priors were directed towards harm. Similarly, COACT showed odds ratios ranging from 0.98 to 1.11 for the 30-day mortality endpoint. When combining both trials, immediate coronary angiography showed a high probability of increased mortality between 83% and 95%, again with ORs across all priors indicating a direction towards harm. Conclusions: Bayesian reanalyses showed a very high probability of increased 30-day mortality risk with immediate compared with delayed/selective coronary angiography in the TOMAHAWK trial and combined trial cohort. These findings may shift the current understanding of both trials from a “neutral” towards a likely “harmful” effect of immediate coronary angiography after successfully resuscitated out-of-hospital cardiac arrest without ST-segment elevations. Therefore, adoption of a delayed strategy of coronary angiography might be preferred in clinical practice until the results of the DISCO (Direct or Subacute Coronary Angiography in Out-of-Hospital Cardiac Arrest) trial become available.

Original languageEnglish
JournalJACC: Cardiovascular Interventions
Volume17
Issue number24
Pages (from-to)2879-2889
Number of pages11
ISSN1936-8798
DOIs
Publication statusPublished - 23.12.2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Areas and Centers

  • Centers: Cardiological Center Luebeck (UHZL)
  • Research Area: Medical Genetics

DFG Research Classification Scheme

  • 2.22-12 Cardiology, Angiology

Fingerprint

Dive into the research topics of 'Bayesian Reanalyses of the Trials TOMAHAWK and COACT'. Together they form a unique fingerprint.

Cite this