Dynamic impact of transfusion ratios on outcomes in severely injured patients: Targeted machine learning analysis of the Pragmatic, Randomized Optimal Platelet and Plasma Ratios randomized clinical trial.

Journal: The journal of trauma and acute care surgery
PMID: 32520897

Abstract

BACKGROUND: Massive transfusion protocols to treat postinjury hemorrhage are based on predefined blood product transfusion ratios followed by goal-directed transfusion based on patient's clinical evolution. However, it remains unclear how these transfusion ratios impact patient outcomes over time from injury.

Authors

  • Minh Nguyen
    Clinical Imaging Research Centre, Centre for Sleep and Cognition, N.1 Institute for Health and Memory Networks Program, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore.
  • Romain Pirracchio
  • Lucy Z Kornblith
  • Rachael Callcut
  • Erin E Fox
    Center for Translational Injury Research, Division of Acute Care Surgery, Department of Surgery, Medical School, University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
  • Charles E Wade
    Center for Translational Injury Research, Division of Acute Care Surgery, Department of Surgery, Medical School, University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
  • Martin Schreiber
  • John B Holcomb
    Center for Translational Injury Research, Division of Acute Care Surgery, Department of Surgery, Medical School, University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
  • Jeremy Coyle
  • Mitchell Cohen
    Department of Surgery, University of California San Francisco, San Francisco, CA, USA.
  • Alan Hubbard
    Division of Biostatistics, University of California, Berkeley, California, United States of America.

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