Open AccessDynamic 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
Author(s) -
Minh Nguyen,
Romain Pirracchio,
Lucy Z. Kornblith,
Rachael A. Callcut,
Erin E. Fox,
Charles E. Wade,
Martin A. Schreiber,
John B. Holcomb,
Jeremy Coyle,
Mitchell J. Cohen,
Alan Hubbard
Publication year - 2020
Publication title -
the journal of trauma and acute care surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.25
H-Index - 187
eISSN - 2163-0763
pISSN - 2163-0755
DOI - 10.1097/ta.0000000000002819
Subject(s) - medicine , hemostasis , randomized controlled trial , confidence interval , blood product , relative risk , platelet transfusion , blood transfusion , platelet , anesthesia , surgery
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.