This manuscript adhered to the STROBE (Strengthening the Reporting of Observational Studies In Epidemiology) guidelines for reporting observational studies [14]. The protocol of this study was submitted and approved by the Mayo Clinic Institutional Review Board (IRB). All patients included in the analysis provided Minnesota research authorization for medical records review.
Study design and setting
We performed a retrospective cohort study of adult patients (age ≥ 18 years) who presented to the emergency department (ED) with severe trauma requiring emergent resuscitation with blood transfusion between November 1, 2015, and October 31, 2019. Our ED is part of a level I trauma center in the United States (Mayo Clinic Hospital, Saint Marys Campus – Rochester, MN) and it has a volume of approximately 1,800 adult trauma patients per year. We compared outcomes of interest between a cohort of patients who received WB and matched controls who received blood component therapy.
Selection of cohorts
All trauma patients who received at least one unit of cold WB during emergent resuscitation (started either by prehospital or in-hospital personnel) were included in the WB cohort. Exclusion criteria included patients who received WB due to reasons other than trauma, pediatric patients (age < 18), prisoners, pregnant women, and those who denied authorization to use their medical records for research.
During the study period, our institutional protocol suggested WB transfusion in patients for which the massive transfusion protocol has been activated. Pre-hospital and in-hospital specific institutional protocols for the administration of WB are available in Appendix S1. The massive transfusion protocol activation was meant for situations when the need of ≥ 10 units of packed RBC was anticipated within a 24-hour period. Objective criteria for such activation included ≥ 2 of the following signs of hemorrhage: systolic blood pressure (SBP) ≤ 90mmHg, heart rate (HR) > 120, penetrating mechanism of injury, positive Focused Assessment with Sonography in Trauma (FAST) exam, lactate > 5.0mg/dL, prothrombin time test (INR) > 1.5, and known or presumed warfarin use. Despite such protocols, the decision of giving or not WB was ultimately left at the discretion of clinicians providing care to patients.
To create the control (comparison) cohort of component therapy, we first sampled patients from our trauma registry for whom the massive blood transfusion protocol was activated and for whom only blood component therapy was given. Our registry keeps track of all trauma activations in our ED. We then matched control patients who received component therapy with WB patients in a 1:1 fashion (pair-wise matching) for the following characteristics: age, sex, mechanism of injury, ED triage HR, ED triage SBP, ED triage Glasgow Coma Scale (GCS), Injury Severity Score (ISS), and FAST exam positivity. A ‘greedy’ matching algorithm was used [15]. These variables were chosen as being the most clinically relevant characteristics to be balanced between the WB and component therapy cohorts. Matching during the study design phase was performed as an attempt to mitigate confounders prior to estimating the effects of WB (as compared to component therapy) on the outcomes of interest.
Cold whole blood details
The cold WB resuscitation protocol implementation at our institution has been previously described [8]. Cold whole blood, non-leukocyte-reduced, is a resuscitation fluid not processed into individual components, remaining the same as when it was donated except for the addition of storage solution. The units were collected following US blood donation standards and regulations. A total number of four units of WB (two O positive and two O negative) each week were stored and maintained at 1oC to 6oC for up to 14 days. Units that were not used by day 14 were discarded. Two units of type O whole blood were available for transfusion to any patient and two additional units could have been transfused if the patient had confirmed blood type O and was deemed eligible for such units. All WB units were titrated for anti-A and anti-B (immediate spin titer < 200). Group O positive WB was transfused to adult men (age ≥ 18 years) and females older than potential child-bearing age (age ≥ 56 years). Women of potential childbearing age (age ≤ 55 years) were transfused with Group O negative units, and if subsequently confirmed to be O negative, they were deemed not eligible to receive additional O positive WB units. Whole blood was given until hemorrhage was controlled or two units were transfused (four units if the patient was blood type O and eligible for such additional units). If further blood product resuscitation was required, units of component therapy (red blood cells [RBC], platelets [PLT], fresh frozen plasma [FFP], or cryoprecipitate [CRYO]) were administered as necessary.
Data extraction
We abstracted data from the electronic health records (EHR) through individual chart review of eligible patients. The following variables were extracted using a standardized data collection form by a trained research fellow: age, sex, race, mechanism of injury (blunt or penetrating), ISS, triage GCS, triage HR, triage SBP, FAST exam results (positive or negative as documented in the EHR), laboratory results (hemoglobin, hematocrit, and platelet counts) at arrival, 6, and 24 hours after arrival, ED length of stay (LOS), hospital LOS, days on ventilator (if intubated), intensive care unit (ICU) LOS (if applicable), and mortality up to 30 days after injury. The ABO and Rh blood type were obtained as were all information regarding units of WB and/or component therapy that were given within 24 hours after injury. For patients who had missing FAST exam results (not documented or not performed), we imputed such results using the method described by Callcut and colleagues [16].
Documented transfusion reactions were also collected including acute and delayed reactions (definition below in Outcomes).
Outcomes
The primary outcome was mortality (measured at three different times: ED mortality, 24-hour mortality, and 30-day mortality). Secondary outcomes included incidence of transfusion reactions, need for invasive interventions (emergency surgery or interventional radiology after injury), hospital LOS, days on ventilator, ICU LOS, blood product utilization, and blood compatibility.
For transfusion reactions, we classified them as being either acute or delayed. Acute transfusion reactions included documented anaphylaxis, acute hemolysis, transfusion-associated circulatory overload (TACO), transfusion-related acute lung injury (TRALI), febrile non-hemolytic reaction (FNHR), and urticaria. Delayed transfusion reactions included documented delayed serologic transfusion reaction (DSTR). DSTR was defined by an anamnestic antibody response without clinical or laboratory evidence of hemolysis, which is often diagnosed as a result of repeated antibody screening performed by the blood bank [17].
For blood product utilization, we measured the total number of units given for each cohort including WB, RBC, PLT, FFP, and CRYO within 24 hours of injury.
For blood compatibility, we measured both ABO and Rh compatibility. Compatibility in the WB cohort was defined as those receiving WB units with identical ABO and Rh blood types.
Data analysis
Continuous variables were summarized as median and interquartile range (IQR), while categorical variables are summarized as frequency counts and percentages. A univariate analysis was initially performed using paired Wilcoxon rank sum test and McNemar’s or Bowker’s symmetry tests, depending on the type and distribution of the data. Generalized estimating equation (GEE) models were used to evaluate the short-term survival rates (ED, 24-hour and 30-day) and also hospital LOS, ICU LOS, and total blood transfused during hospitalization. ED survival, 24-hour survival and 30-day survival were assessed with GEE using a binary distribution and logit link. To avoid immortal time bias, we assessed 30-day mortality using only those patients who survived the first 24 hours. When assessing the hospital LOS, ICU LOS, ventilator duration and total blood usage, GEE models using a gamma distribution with a log link were used because these variables are highly skewed. Because of the large number of variables assessed, p-values were adjusted for false discovery rate using the methods of Benjamini and Hochberg. Finally, for all survival outcomes, we performed a Kaplan-Meier survival analysis for 30-day survival, along with similar Cox proportional hazard models stratified by case/control pairing. Significance was defined as p-values < 0.05. All analyses were performed in SAS 9.4.