Age of thawed plasma does not affect clinical outcomes or biomarker expression in patients receiving prehospital thawed plasma: a PAMPer secondary analysis.

BACKGROUND: Prehospital plasma administration during air medical transport reduces the endotheliopathy of trauma, circulating pro-inflammatory cytokines, and 30-day mortality among traumatically injured patients at risk of hemorrhagic shock. No clinical data currently exists evaluating the age of thawed plasma and its association with clinical outcomes and biomarker expression post-injury.
METHODS: We performed a secondary analysis from the prehospital plasma administration randomized controlled trial, PAMPer. We dichotomized the age of thawed plasma creating three groups: standard-care, YOUNG (day 0-1) plasma, and OLD (day 2-5) plasma. We generated HRs and 95% CIs for mortality. Among all patients randomized to plasma, we compared predicted biomarker values at hospital admission (T0) and 24 hours later (T24) controlling for key difference between groups with a multivariable linear regression. Analyses were repeated in a severely injured subgroup.
RESULTS: Two hundred and seventy-one patients were randomized to standard-care and 230 to plasma (40% YOUNG, 60% OLD). There were no clinically or statistically significant differences in demographics, injury, admission vital signs, or laboratory values including thromboelastography between YOUNG and OLD. Compared with standard-care, YOUNG (HR 0.66 (95% CI 0.41 to 1.07), p=0.09) and OLD (HR 0.64 (95% CI 0.42 to 0.96), p=0.03) plasma demonstrated reduced 30-day mortality. Among those randomized to plasma, plasma age did not affect mortality (HR 1.04 (95% CI 0.60 to 1.82), p=0.90) and/or adjusted serum markers by plasma age at T0 or T24 (p>0.05). However, among the severely injured subgroup, OLD plasma was significantly associated with increased adjusted inflammatory and decreased adjusted endothelial biomarkers at T0. DISCUSSION: Age of thawed plasma does not result in clinical outcome or biomarker expression differences in the overall PAMPer study cohort. There were biomarker expression differences in those patients with severe injury. Definitive investigation is needed to determine if the age of thawed plasma is associated with biomarker expression and outcome differences following traumatic injury. LEVEL OF EVIDENCE: II. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Introduction

Traumatic injury is a leading cause of death in the USA with detrimental societal and public health consequences.1 The resuscitation of patients who suffer traumatic injury continues to evolve and focuses on the prevention of coagulopathy through minimization of crystalloid infusion and early blood component transfusion.2–6 Despite the beneficial effects of these resuscitation advances, the rate of mortality continues to be high within the first hours of arrival to a trauma center and highlights the importance of interventions initiated early in the prehospital setting.7–12 The multicenter, randomized Prehospital Air Medical Plasma (PAMPer) trial randomized severely injured patients transported to a trauma center by helicopter emergency services to prehospital thawed plasma administration or standard-care.13 The administration of prehospital thawed plasma was safe, lowered 30-day mortality, and has been shown to potentially moderate the immune dysfunction and endotheliopathy of trauma.7 13

Although the benefits of prehospital thawed plasma administration in severely injured patients have been demonstrated, this intervention is potentially resource intensive due to the need of providing it in an uncross-matched fashion and the short shelf-life of 5 days.14–16 This time window has the potential to result in significant plasma wastage and high financial costs when implemented in the prehospital arena.14 Further, animal studies have demonstrated that thawed plasma processing and the duration of time thawed (age of thawed plasma) can alter endothelial permeability, vascular stability, coagulation proteins, and microparticles necessary for immune and inflammatory regulation.17–19 However, the relationship between the age of thawed plasma and both associated clinical outcome and biomarker expression differences following injury has not been adequately characterized. The overall objective of the current secondary analysis was to determine if the age of thawed plasma was associated with outcome and biomarker expression differences using an existing study cohort. We hypothesized that the outcome benefits and biomarker expression would not be affected by the age of thawed plasma.

Methods

We performed a secondary analysis using data and biomarker measurements derived from the PAMPer trial.13 20 As previously described, the PAMPer trial enrolled patients transported via helicopter emergency services at risk of hemorrhagic shock. Randomization occurred at the level of the helicopter emergency services base, in 1-month blocks, to either standard of care resuscitation or 2 U of either group AB or group A with low anti-B titer (<1:100) thawed plasma. The trial protocol mandated that both units of plasma were infused to completion, even if this required infusion to continue after arrival at the trauma center. In accordance with the American Association of Blood Banks guidelines, all thawed plasma had a 5-day period of validity.14–16 The temperature of the thawed units were monitored in blood bank–approved refrigerators at the helicopter emergency services bases and with adhesive blood temperature monitoring labels on the units in coolers when in flight.14 Any and all plasma units used by helicopter emergency services teams were replaced and unused units were exchanged prior to expiration dates. For plasma unit pairs that did not expire on the same day (n=22), we assigned the plasma pair was assigned the longer thawed duration.

Inclusion criteria for PAMPer involved patients transported from the scene of trauma or referring facilities by participating helicopter emergency services to a PAMPer network trauma center at risk of hemorrhagic shock. Patient-specific parameters included severe hypotension (systolic blood pressure, <70 mm Hg) or hypotension (systolic blood pressure, 70–90 mm Hg) and tachycardia (heart rate >108 beats per minute) prior to arrival to the trauma center. Exclusion criteria included known pregnancy, prisoner status, penetrating injury to the head, asystole or cardiopulmonary resuscitation (>5 min), known objection to blood products.

In this secondary analysis, we included patients enrolled in PAMPer analyzed for primary outcome per the modified intention-to-treat protocol. Clinical outcomes were compared across three groups: (1) standard-care group; (2) plasma below median time thawed (0–1 days, YOUNG); (3) plasma equal to or above median time thawed (2–5 days, OLD). In sensitivity analysis, we also compared clinical outcomes of plasma group extremes, categorized as plasma above the median age (3–5 days, EXTREME OLD). For exploratory biomarker analysis, we excluded patients who were not allocated to the plasma group and who were unable to be sampled due to clinical care logistics of caring for the severely injured. We also performed a subgroup analysis in patients with the highest quartile of injury severity (Injury Severity Score >30) which has been characterized in prior PAMPer secondary analyses.7

Blood samples were collected, when feasible, from PAMPer trial patients on admission (TIME 0 (T0)) and at 24 (T24) hours. Twenty-one inflammatory mediators measured included interleukin (IL)−1β, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-17A, IL-7E (ie, IL-25), IL-21, IL-22, IL-23, IL-27, IL-33, monocyte chemoattractant protein (MCP)−1, INF-gamma (MIG), granulocyte-macrophage colony-stimulating factor (GM-CSF), and tumor necrosing factor (TNF)–α. Seven cell damage and death markers included histone-complexed DNA (hcDNA), human S100 calcium-binding protein A10 (S100A10), soluble urokinase receptor (suPAR), syndecan-1, thrombomodulin (TM), vascular endothelial growth factor (VEGF), and adipokine. Syndecan-1, TM, and VEGF have a hypothesized association to trauma-related damage of the endothelial cell’s glycocalyx, endothelium, and tight junction, respectively.21 22 Adipokine has a hypothesized association with restoration of endothelial cell function. Assays for inflammatory, damage, and those specific to endothelial cells were previously reported.7 Units for all IL, TNF-α, MCP-1, MIG, and GM-CSF are in picograms per milliliter, except IL-23, which is in nanograms per milliliter. All cell damage and death marker units are in nanograms per milliliter, except VEGF which is in picograms per milliliter, and hcDNA are reported as relative units.

To understand the characteristics of patients based on the treatment groups, we used descriptive statistics to compare patient demographics and injuries, prehospital and transport, and hospital admission patient factors including laboratory values. We evaluated differences in 30-day survival between treatment groups with Kaplan-Meier curves and associated log-rank testing for overall statistical significance. We then generated unadjusted HRs and associated 95% CI to compare the differences between specific treatment groups (standard-care vs YOUNG; standard-care vs OLD; YOUNG vs OLD) in addition to sensitivity analysis groups (YOUNG vs EXTREME OLD).

All multivariable linear regression analyses adjusted for Injury Severity Score, prehospital systolic blood pressure <70 mm Hg, Glasgow Coma Score, and resuscitation volumes (ie, plasma, blood, and crystalloid), and international ratio (INR) on hospital arrival with a robust variance estimator and were subject to appropriate testing. We calculated the linear prediction from the fitted models for each biomarker for each patient. In the subgroup, predicted biomarkers were presented as mean and corresponding SD values for each age of plasma group.

We expressed continuous variables as mean (SD) or median (IQR) and categorical variables as frequencies (percent). Differences were tested with Student’s t-tests or Kruskal-Wallis and χ2 with a p value <0.05 considered statistically significant on two-sided testing. No adjustments were made for multiple comparisons. All data were analyzed with Stata V.15.1 (StataCorp). Patient enrollment, informed consent, and data collection were in compliance with the PAMPer trial protocol and regulatory oversite as registered with ClinicalTrials.gov (NCT01818427). This study was approved under an Emergency Exception From Informed Consent protocol from the Human Research Protection Office of the US Army Medical Research and Material Command and by the appropriate institutional review boards.13 The use of these data in secondary analysis was reviewed by the University of Pittsburgh Institutional Review Board (STUDY20070145).

Results

Patient cohort

The final modified intention-to-treat cohort analyzed in PAMPer included 501 patients with 271 (54%) enrolled at a helicopter emergency services assigned to the standard-care group and 230 (46%) enrolled at a helicopter emergency services assigned to the plasma group. For those in the plasma group, the median age of thawed plasma was 2 days (IQR, 1–3); therefore, 93 (40%) received plasma thawed for 0 to 1 days (YOUNG) and 137 (60%) for 2 to 5 days (OLD; figure 1). Although patients were not stratified or randomized at the level of thawed plasma age, there were no clinically or statistically significant differences in demographics, injury characteristics and severity, admission vital signs, and laboratory values including thromboelastography measurements between YOUNG and OLD plasma age groups (table 1).

Figure 1

Principal cohort. HEMS, helicopter emergency services; PAMPer, Prehospital Air Medical Plasma; T0, time 0.

Table 1

Patient and injury characteristics—principal analysis cohort (n=501)

Variable	Plasma group		P value
	YOUNG	OLD
Demographics	n=93	n=137
Age, years, mean (SD)	45.7 (17.7)	45.3 (17.2)	0.84
Male gender, No. (%)	65 (70)	99 (72)	0.70
Race, No. (%)			0.21
White	88 (95)	119 (87)
Black	4 (4)	10 (7)
Other	0 (0)	0 (0)
Unknown	0 (0)	2 (1)
Hispanic, No. (%)	2 (2.3)	4 (3.1)	0.71
Current smoking, No. (%)	41 (54)	42 (41)	0.09
Body mass index, mean (SD)	30.7 (9.5)	30.0 (6.5)	0.58
Prehospital and injury
Penetrating injury, No. (%)	20 (22)	26 (19)	0.64
Injury severity score, median (IQR)	22.0 (13.0, 34.0)	22.0 (16.0, 29.0)	0.59
Traumatic brain injury, No. (%)	17 (36.2)	19 (34.5)	0.86
Hospital transfer, No. (%)	22 (23.7)	30 (22.1)	0.78
Prehospital interval, median (IQR)	3 (3.2)	4 (2.9)	0.89
Hospital
Admission heart rate, mean (SD)	105.2 (31.7)	101.9 (28.9)	0.41
Admission systolic blood pressure, mean (SD)	100.7 (39.2)	100.7 (40.8)	1.00
Admission INR, median (IQR)	1.2 (1.1, 1.4)	1.2 (1.1, 1.3)	0.58
Admission hemoglobin, median (IQR)	10.9 (9.0, 13.3)	10.8 (9.4, 12.7)	0.88
Admission rapid thromboelastography
Lysis at 30 min, %, median (IQR)	0.1 (0.0, 1.4)	0.2 (0.0, 1.1)	0.75
Max amplitude, min, median (IQR)	59.6 (52.0, 63.5)	56.4 (47.8, 64.7)	0.48
Alpha angle, degrees, median (IQR)	70.8 (62.3, 74.9)	70.2 (61.6, 74.7)	0.60
K-time, min, median (IQR)	1.8 (1.2, 2.7)	1.8 (1.2, 3.0)	0.95
Activated clotting time, median (IQR)	113.0 (97.0, 136.0)	113.0 (105.0, 136.0)	0.46
PRBC in 24 hours, median (IQR)	3.0 (2.0, 6.0)	2.0 (0.0, 7.0)	0.35
Plasma in 24 hours, median (IQR)	0.0 (0.0, 3.0)	0.0 (0.0, 3.0)	0.90
Platelets in 24 hours, median (IQR)	0.0 (0.0, 1.0)	0.0 (0.0, 1.0)	0.63
Crystalloid in 24 hours, median (IQR)	4434 (2372, 6200)	4375 (2200, 6600)	0.96
Multisystem organ failure, No. (%)	61 (65.6)	84 (61.3)	0.51

No., number; PRBC, packed red blood cells.

Post-Trauma survival

There were 88 (32%), 21 (23%), and 30 (22%) deaths at 30 days for patients receiving standard-care, YOUNG plasma, and OLD plasma (figure 2; p=0.047). Consistent with the primary outcome results in PAMPer, prehospital plasma reduced the hazard of 30-day mortality by approximately 35% for both plasma age groups (YOUNG, HR 0.66 (95% CI 0.41 to 1.07), p=0.09 and OLD, HR 0.64 (95% CI 0.42 to 0.96), p=0.03) when compared with standard of care. The YOUNG plasma cohort contained the fewest patients and did not reach statistical significance but demonstrated a trend. Most importantly, the age of thawed plasma overall and at age extremes, 3 to 5 days (EXTREME OLD (n=78)) did not affect 30-day mortality (YOUNG vs OLD, HR 1.04 (95% CI 0.60 to 1.82), p=0.90; YOUNG vs EXTREME OLD, HR 0.89 (95% CI 0.47 to 1.49), p=0.72).

Figure 2

Kaplan-Meier survival analysis for the primary cohort (panel A; n=501) and subgroup (panel B; n=127).

Biomarker evaluation

Among patients in the plasma group (n=230) with data available for biomarker analysis (n=165; figure 1), in both univariate comparison (data not shown) and multivariable linear regression there were no clinically significant differences in biomarkers between plasma age groups at T0 (table 2) or T24 (online supplemental digital content table 1).

Table 2

Model estimation coefficients for markers at T0—YOUNG vs OLD plasma age

Plasma group (n=137)					ISS >30 plasma subgroup (n=56)
Marker	Coefficient	95% CI		P value	Coefficient	95% CI		P value
		Lower limit	Upper limit			Lower limit	Upper limit
IL-1b	0.456	−2.762	3.673	0.781	4.394	1.027	7.761	0.011
IL-2	0.064	−1.791	1.919	0.946	2.414	0.262	4.565	0.028
IL-4	−20.063	−66.499	26.373	0.397	39.6	13.482	65.718	0.003
IL-5	−2.664	−8.369	3.041	0.36	2.667	0.921	4.413	0.003
IL-6	35.696	−158.755	230.147	0.719	7.664	−384.257	399.586	0.969
IL-7	4.116	−2.281	10.513	0.207	11.494	−0.96	23.947	0.07
IL-8	6.21	−11.606	24.026	0.494	−28.604	−86.985	29.776	0.337
IL-9	2.725	−18.023	23.473	0.797	25.238	2.171	48.304	0.032
IL-10	60.645	−102.332	223.622	0.466	−19.358	−285.774	247.058	0.887
IL-17a	1.457	−3.876	6.79	0.592	6.27	0.1	12.439	0.046
IL-17e	69.021	−38.997	177.039	0.21	308.579	103.895	513.264	0.003
IL-21	9.08	−22.34	40.5	0.571	47.905	11.959	83.852	0.009
IL-22	104.23	−248.61	457.071	0.563	715.174	165.919	1264.429	0.011
IL-23	1.042	−6.305	8.39	0.781	12.725	5.139	20.311	0.001
IL-27	51.292	−453.426	556.009	0.842	977.828	137.887	1817.769	0.023
IL-33	10.925	−39.263	61.112	0.67	95.05	32.919	157.18	0.003
GM-CSF	−7.832	−20.563	4.9	0.228	14.629	5.478	23.78	0.002
MCP-1	366.455	−29.438	762.349	0.07	−28.592	−912.995	855.811	0.949
MIG	4285.834	−3033.508	11 605.176	0.251	14 107.398	−9169.341	37 384.137	0.235
TNF-α	0.964	−11.013	12.94	0.875	5.174	−28.073	38.421	0.76
Adiponectin	−1736.773	−3848.6	375.055	0.107	−355.837	−2733.742	2022.067	0.769
hcDNA	−8.264	−18.546	2.017	0.115	−34.837	−49.677	−19.998	0
S100A10	−0.717	−2.027	0.593	0.284	−0.892	−2.003	0.218	0.115
suPAR	−0.374	−0.924	0.177	0.183	0.351	−0.64	1.343	0.487
Syndecan-1	2.035	−23.878	27.949	0.878	−54.767	−96.663	−12.872	0.01
TM	0.103	−1.204	1.41	0.877	0.92	−1.079	2.919	0.367
VEGF	81.405	−103.409	266.218	0.388	2.333	−276.162	280.829	0.987

GM-CSF, granulocyte-macrophage colony-stimulating factor; hcDNA, histone-complexed DNA; IL, interleukin; ISS, Injury Severity Score; MCP-1, monocyte chemoattractant protein; MIG, INF-gamma; S100A10, human S100 calcium-binding protein A10; suPAR, soluble urokinase receptor; TM, thrombomodulin; TNF-α, tumor necrosing factor-α; VEGF, vascular endothelial growth factor.

There were a total of 64 (50%) patients allocated to the plasma arm who had an Injury Severity Score >30 (mean age 41 years (SD 17), 23 males (68%), mean Injury Severity Score 45 (SD 13)), of which 30 (47%) received YOUNG and 34 (53%) OLD plasma. There were no differences in demographics, injury, prehospital, or hospital admission between groups (table 3). At 30 days, 10 (33%) patients receiving YOUNG plasma and 13 (38%) patients receiving OLD plasma died (HR 1.2 (95% CI 0.51 to 2.69), p=0.69) and 20 (67%) of YOUNG plasma and 25 (73%) of old plasma patients had multisystem organ failure (p=0.55). Among patients with data available for biomarker analysis (n=46 (72%)), there were statistically significant differences between adjusted biomarker values at T0 (table 2) and T24 (online supplemental digital content table 1). At T0, patients who received OLD plasma had a higher mean circulating level of cytokine biomarkers when compared with YOUNG plasma, including those associated with the innate immune system and acute respiratory distress syndrome after trauma, IL-1; type 2 cytokine profiles associated with nosocomial infection–related complications and multiple system organ failure including IL-4, IL-5, IL-9, and IL-3323 24; type 17 immune cell production of IL-17A and IL-17E which have been associated with both pathologic (GM-CSF) and protective (IL-22) responses25 26; and increased lymphoid mediators including IL-2, IL-4, IL-5, IL-17a, IL-21, IL-22, and IL-23 (figure 3).23 27 However, patients who received OLD plasma had lower mean circulating damage and death cell markers hcDNA and Syndican-1 when compared with YOUNG plasma. These trends continued at T24, yet statistical significance was not maintained (online supplemental digital content table 1).

Table 3

Patient and injury characteristics—subgroup (Injury Severity Score >30, n=127)

Variable	Plasma group		P value
	YOUNG	OLD
Demographics	n=30	n=34
Age, years, mean (SD)	40.0 (14.8)	41.9 (19.4)	0.65
Male gender, No. (%)	18 (60)	23 (68)	0.52
Race, No. (%)			0.15
White	29 (97)	29 (85)
Black	0 (0)	4 (12)
Unknown	1 (3)	1 (3)
Hispanic, No. (%)	0 (0.0)	0 (0.0)	0.34
Current smoking, No. (%)	13 (59)	13 (54)	0.74
Body mass index, mean (SD)	30.2 (9.8)	29.6 (7.4)	0.84
Prehospital and injury
Penetrating injury, No. (%)	4 (13)	3 (9)	0.56
Injury severity score, median (IQR)	43.0 (35.0, 50.0)	41.0 (34.0, 45.0)	0.26
Traumatic brain injury, No. (%)	8 (50.0)	7 (58.3)	0.66
Admission heart rate, mean (SD)	112.5 (29.6)	98.9 (34.1)	0.10
Admission systolic blood pressure, mean (SD))	91.8 (33.1)	94.3 (51.4)	0.83
Hospital transfer, No. (%)	6 (20.0)	7 (21.2)	0.47
Prehospital interval, median (IQR)	41.5 (32.8, 54.6)	40.4 (32.8, 48.1)	0.48
Hospital
Admission INR, median (IQR)	1.2 (1.1, 1.5)	1.2 (1.1, 1.3)	0.72
Admission hemoglobin, median (IQR)	11.2 (10.3, 12.6)	10.2 (8.9, 11.4)	0.084
Admission rapid thromboelastography
Lysis at 30 min, %, median (IQR)	0.2 (0.0, 0.9)	0.2 (0.0, 2.5)	0.85
Max amplitude, min, median (IQR)	59.6 (53.0, 61.5)	55.0 (49.1, 60.6)	0.42
Alpha angle, degrees, median (IQR)	70.0 (68.5, 73.9)	68.2 (61.9, 74.2)	0.79
K-time, min, median (IQR)	1.8 (1.4, 1.8)	2.0 (1.5, 2.7)	0.65
Activated clotting time, median (IQR)	117.0 (109.0, 124.5)	113.0 (89.0, 136.0)	0.64
PRBC in 24 hours, median (IQR)	4.0 (2.0, 11.0)	4.5 (2.0, 10.0)	0.90
Plasma in 24 hours, median (IQR)	2.0 (0.0, 4.0)	0.5 (0.0, 4.0)	0.95
Platelets in 24 hours, median (IQR)	0.0 (0.0, 1.0)	0.0 (0.0, 1.0)	0.78
Crystalloid in 24 hours, median (IQR)	5110.0 (3200.0, 6647.0)	4437.5 (1500.0, 7050.0)	0.49
Multisystem organ failure, No. (%)	20 (66.7)	25 (73.5)	0.55

INR, international ratio; No., number; PRBC, packed red blood cells.

Figure 3

Adjusted T0 markers for subgroup (Injury Severity Score >30; n=56). Mean adjusted marker values estimated using linear regression controlling for Injury Severity Score, hospital admission Injury Severity Score, presence of a systolic blood pressure <70 mm Hg, international ratio, and transfusions with error bars representing the SD and statistically significant co-efficient p values. Units for all interleukins, TNF-α, MCP-1, MIG, and GM-CSF are in pg/mL, except IL-23, which is in ng/mL. All cell death marker units are in ng/mL, except VEGF which is in pg/mL. DNA (histone-complexed) is reported as relative units. GM-CSF, granulocyte-macrophage colony-stimulating factor; hcDNA, histone-complexed DNA; IL, interleukin; MCP-1, monocyte chemoattractant protein; MIG, INF-gamma; s100a, human S100 calcium-binding protein A10; suPAR, soluble urokinase receptor; TM, thrombomodulin; TNF-α, tumor necrosing factor-α; VEGF, vascular endothelial growth factor.

Discussion

Significant advances in trauma resuscitation have occurred over the last decade with an increasing focus on early interventions provided in the prehospital and early phase of trauma center care. These early interventions are associated with improved outcomes, yet their underlying mechanisms of action in some cases are poorly characterized. Refinement of these interventions to provide maximal benefit necessitates a greater understanding of these mechanisms and those specific intervention facets which are associated with the most robust outcome benefit. In the current secondary analysis of the multicenter, randomized PAMPer trial, we found that the mortality benefit associated with prehospital plasma administration following severe injury was not altered by the duration of time the plasma was thawed. Among all patients randomized to the plasma group, biomarker expression was unaffected by the age of thawed plasma. Interestingly, our exploratory analysis of patients with the highest quartile of injury severity (Injury Severity Score >30) did demonstrate that the age of thawed plasma may be associated with differential cytokine and endothelial cell injury biomarker expression. Plasma thawed for a longer duration (2–5 days; OLD) demonstrated altered biomarker expression when compared with plasma thawed for a shorter duration (0–1 days; YOUNG).

Prior studies looking at ex vivo measurements of thawed plasma have demonstrated differences in the hemostatic potential with increased storage time out to 5 days.28 29 A decline in beneficial microparticles, thought to be principally derived from platelets, has been shown to be primarily responsible for this reduction in the hemostatic capability of stored thawed plasma.17 Animal studies have demonstrated that aged plasma results in clinical outcome differences including higher mortality relative to freshly thawed plasma.28 Despite this prior literature, the results of the current analysis first verify the safety and efficacy of thawed plasma out to 5 days relative to clinical outcomes including 30-day mortality, when compared with standard prehospital resuscitation or when OLD and YOUNG plasma w compared.

When both cytokine and endothelial cell injury biomarkers were characterized for the entire study cohort, there were no expression differences found when measured on arrival or at 24 hours post admission. These biomarker results corroborate the lack of clinical outcome differences for the overall study cohort. We have recently demonstrated in the PAMPer study cohort that plasma attenuates inflammatory cytokine and endothelial cell injury biomarkers relative to standard-care patients (who did not receive prehospital plasma) and these differences were most robust in the severely injured cohort (Injury Severity Score >30).7 9 When we looked at biomarker expression in the plasma group alone across the different thawed plasma ages (OLD vs YOUNG) in this same severely injured cohort, we again found differences in biomarker expression early after injury. Although underpowered for definitive comparison, these biomarker expression differences did not correspond to any significant mortality outcome differences across the age of thawed plasma in these severely injured patients.

The current analysis may be underpowered to detect any significant mortality differences across the age of thawed plasma due to the smaller sample size of the subgroups. It may also be that any diminution of the hemostatic potential of thawed plasma as it approaches the 5- day period may be apparent in experimental models but is insignificant in clinical practice. For the severely injured subgroup, these exploratory biomarker expression differences may be simply related to differences across the patient population themselves and the small sample size of the subgroups. Alternatively, the biomarker expression differences may be a demonstration that the age of thawed plasma plays an effect on the immune response to injury, specifically in the most critically injured patients.

There are limitations of the current analysis. First, the study is a secondary analysis of a clinical trial which was not prespecified and data were not specifically collected to characterize the thawed plasma and associated outcomes. The subgroups were not specifically randomized and are underpowered for definitive comparison. The subgroups although were shown to be similar in demographics, injury characteristics, and severity, there may be unmeasured or unknown confounders that are responsible for the current findings presented. Biomarkers were measured at admission within the first few hours for the majority of patients, yet the prehospital time and time of injury for an individual patient was highly variable and unable to be controlled for. There exists the potential that biomarker expression may be confounded by this differential time of injury across patients. Finally, these results are exploratory and further research is needed to determine if these biomarker expression differences associated with OLD thawed plasma are reproducible and if they are associated with poor outcomes compared with YOUNG thawed plasma.

In conclusion, the results of the current analysis demonstrate that the age of thawed plasma does not result in significant clinical outcome or biomarker expression differences in the overall PAMPer study cohort. There were biomarker expression differences found in those patients with the highest quartile of injury severity. Although these biomarker expression differences did not manifest in any clinically apparent outcome differences, further definitive investigation is needed to determine if the age of thawed plasma is associated with biomarker expression and outcome differences following traumatic injury.