biostudies-literatureUnknown65(9)Harish V<h4>Background</h4>Rotational thromboelastometry (ROTEM) is a blood test that measures hemostatic parameters to guide hemostatic therapy. ROTEM outputs can be cognitively challenging to interpret, which may limit adherence in trauma care. Our objective was to assess hemostatic therapy administration adherence to local ROTEM recommendations.<h4>Study design and methods</h4>We conducted a retrospective cohort study of trauma patients receiving ROTEM testing at a level 1 trauma center between January 1st 2017, and December 31st 2021. Adherence to local ROTEM best practices was determined by comparing the blood products patients received after a patient's first ROTEM test to those that should have been administered based on their ROTEM results. Multivariable logistic regression models were useTransfusion1716-1727https://www.ebi.ac.uk/biostudies/studies/S-EPMC12432809biostudies-literatureAdherence to local rotational thromboelastometry recommendations in the care of trauma patients: A retrospective cohort study.PMC12432809Pavenski KSholzberg MNolan BAl-Haimus FMcGowan MBeckett AHarish VPostill GfalseAdherence to local rotational thromboelastometry recommendations in the care of trauma patients: A retrospective cohort study.<h4>Background</h4>Rotational thromboelastometry (ROTEM) is a blood test that measures hemostatic parameters to guide hemostatic therapy. ROTEM outputs can be cognitively challenging to interpret, which may limit adherence in trauma care. Our objective was to assess hemostatic therapy administration adherence to local ROTEM recommendations.<h4>Study design and methods</h4>We conducted a retrospective cohort study of trauma patients receiving ROTEM testing at a level 1 trauma center between January 1st 2017, and December 31st 2021. Adherence to local ROTEM best practices was determined by comparing the blood products patients received after a patient's first ROTEM test to those that should have been administered based on their ROTEM results. Multivariable logistic regression models were use2025-01-01T00:00:00Z2025 Sep2026-06-03T03:02:09.143Z2026-04-23T03:13:52.285ZS-EPMC124328094073978310.1111/trf.18349