Literature DB >> 31903684

Pre-hospital transfusion of red blood cells. Part 2: A systematic review of treatment effects on outcomes.

Elisabeth C van Turenhout1, Sebastiaan M Bossers1, Stephan A Loer1, Georgios F Giannakopoulos2,3, Lothar A Schwarte1,3, Patrick Schober1,3.   

Abstract

The primary aim of this systematic review is to describe the effects of prehospital transfusion of red blood cells (PHTRBC) on patient outcomes. Damage control resuscitation attempts to prevent death through haemorrhage in trauma patients. In this context, transfusion of red blood cells is increasingly used by emergency medical services (EMS). However, evidence on the effects on outcomes is scarce. PubMed and Web of Science were searched through January 2019; 55 articles were included. No randomised controlled studies were identified. While several observational studies suggest an increased survival after PHTRBC, consistent evidence for beneficial effects of PHTRBC on survival was not found. PHTRBC appears to improve haemodynamic parameters, but there is no evidence that shock on arrival to hospital is averted, nor of an association with trauma induced coagulopathy or with length of stay in hospitals or intensive care units. In conclusion, PHTRBC is increasingly used by EMS, but there is no strong evidence for effects of PHTRBC on mortality. Further research with study designs that allow causal inferences is required for more conclusive evidence. The combination of PHTRBC with plasma, as well as the use of individualised transfusion criteria, may potentially show more benefits and should be thoroughly investigated in the future. The review was registered at Prospero (CRD42018084658).
© 2020 The Authors. Transfusion Medicine published by John Wiley & Sons Ltd on behalf of British Blood Transfusion Society.

Entities:  

Keywords:  damage control resuscitation; emergency medical service; major haemorrhage; mortality; outcome; prehospital transfusion; red blood cells

Year:  2020        PMID: 31903684      PMCID: PMC7317762          DOI: 10.1111/tme.12659

Source DB:  PubMed          Journal:  Transfus Med        ISSN: 0958-7578            Impact factor:   2.019


INTRODUCTION

Haemorrhage is a potentially preventable cause of death after major trauma.1, 2, 3 Topical treatment is not always sufficient to control haemorrhage, since it is often non‐compressible.3, 4, 5 The lethal triad of acidosis, hypothermia and coagulopathy is related to haemorrhagic shock, especially when blood loss is treated with liberal crystalloid fluid replacement.6 In damage control resuscitation (DCR), blood products are preferred over crystalloids as fluid replacement, while a degree of hypotension is accepted until haemorrhage control has been achieved.6, 7, 8, 9, 10, 11 Through transfusion of red blood cells (RBC), the infusion of large volumes of crystalloids may be avoided, as RBC provide a more effective volume expansion. Haemostasis and thrombosis are promoted12 and oxygen carrying capacity restored.13 In an effort to decrease mortality through haemorrhage after major trauma, prehospital transfusion of red blood cells (PHTRBC) is increasingly performed. Military medical teams have been transfusing blood products prior to arrival at a surgical unit for years.14, 15 This may partially explain survival differences between civilian casualties who require massive transfusion (60%) and military casualties (93%).16 More recently, civilian emergency medical services (EMS) have also started to carry blood to the scene and transfuse their patients in the prehospital setting.17, 18 In part 1 of this series, we described the availability and frequency of PHTRBC around the world, and demonstrated that varying transfusion criteria are being used.19 However, to date, little is known concerning the effects on patient outcomes. We have therefore conducted a systematic review with the aim to evaluate the effect of PHTRBC in patients treated by EMS on multiple outcomes including mortality, haemodynamic parameters, and the need for further in‐hospital transfusions.

METHODS

The review was registered at Prospero (website: https://www.crd.york.ac.uk/prospero, identification number: CRD42018084658). This systematic review was conducted in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta‐Analyses) guidelines.20

Information sources, search strategy and study selection

PubMed and Web of Science were searched through January 2019. The search strategy and the process of selection of studies were described previously.19 For the purpose of this systematic review, only the manuscripts reporting outcome measures after PHTRBC (data on the hemodynamic state, coagulopathy, 24 hours RBC transfusion requirement, length of stay in hospital/intensive care unit [ICU], mortality, or occurrence of complications) were included. For a comprehensive overview of studies reporting outcomes after PHTRBC, controlled studies as well as observational studies were considered for this systematic review.

Data extraction

A standardised data extraction sheet was developed, and after testing this on the first 20 articles, it was refined. The setting and type of transport the EMS used (civilian or military, scene or interfacility) and patient characteristics were extracted. Data regarding the effects of prehospital transfusion were collected, including haemodynamic data, coagulopathy, 24 hours RBC transfusion requirement, length of stay in hospital/ICU, mortality and occurrence of complications. Descriptions of problems that arose during PHTRBC are summarised in the text. Bias was assessed using the Newcastle‐Ottawa Scale.21

Data synthesis

A priori, we had planned a random‐effects meta‐analysis of the available evidence. However, no controlled studies were identified, and the observational studies carry a risk of residual confounding even if matching or regression‐based techniques were used to control for confounding. Moreover, a high heterogeneity among the studies precluded meaningful pooling of data: Civilian and military studies are not comparable due to fundamental differences in patients, mechanisms of injury and medical facilities. Also within these two groups, differences between patient populations and patient selection, differences between healthcare systems and EMS systems (eg, logistics, staff, equipment, treatment options, response and transport times to definitive care), differences in the type of blood products used (RBC only or a combination of blood products), differences in transfusion criteria, as well as differences in outcome measures are too great to allow a meaningful combined analysis. A meta‐analysis was therefore not performed.

RESULTS

Selection of articles

The search in PubMed and Web of Science yielded 2172 hits after removal of duplicates. In our scoping review, 71 articles were included.19 In total, 55 of these studies reported one or more outcome measure, and were included in this review (Figure 1).
Figure 1

PRISMA flow diagram

PRISMA flow diagram Forty‐one of these studies discussed PHTRBC in civilian medical services, 14 of which allowed comparisons of PHTRBC with a control population. Notably, four articles primarily dealt with a different study topic, but were included as they additionally provided valuable information regarding PHTRBC22, 23, 24, 25 (Table 1).
Table 1

Overview of studies

First author (y)RegionStudy periodPrimary goalStudy groupControl groupControl for confoundingpatients transfused (n)a Type of transport (%trauma)Mechanism of injuryISS
Civilian services
Prospective comparative studies
Henriksen H (2016)26 Texas USA2012‐2013To investigate the association between PHTRBC and PHT‐plasma and hemostatic functionReceivers of PHTRBC and/or PHT‐plasmaReceivers of in‐hospital transfusionAdjusted data75b Scene (100%)

PHT: Blunt: 55% Penetrating: 45%

Control: Blunt: 75% Penetrating: 25% P = .002

PHT: 29 (17‐41)

Control:

26 (17‐34) P = .106

Holcomb J (2017)27 USA (9 trauma centers)2015To study the effect of PHTRBC and/or PHT‐plasma on in‐hospital mortalitySeverely injured receivers of PHTRBC and/or plasmaNo prehospital blood productsPropensity score142b Scene (100%)

PHT: Blunt: 79.1% Penetrating: 20.9%

Matched control: Blunt: 72.7% Penetrating: 27.3%

PHT: 24 (10‐34)

Control:

22 (10‐34)

Retrospective comparative studies
Brown JB‐a (2015)28 USA (9 institutions)2003‐2010To characterise the association of pre‐trauma center RBC with mortality and TIC in severely injured patients with blunt traumaReceivers of pre‐trauma center RBCNo prehospital transfusionPropensity score50Scene + interfacility (100%)

Blunt: 100%

Penetrating: 0%

(per exclusion)

PHTRBC:

34 (18‐43)

Control: 30 (23‐43) P = .81

Brown JB‐b (2015)29 Pennsylvania USA2007‐2012To evaluate the association of pre‐trauma center RBC with outcomesReceivers of pre‐trauma center RBCNo prehospital transfusionPropensity score240 matched (71 scene)Scene+ interfacility (100%)

PHTRBC: Blunt: 191(80%) Penetrating: 49(20%)

Matched Controls: Blunt: 395(82%) Penetrating: 85(18%)

PHTRBC: 18 (10‐29)

Matched Control: 17 (9‐27) P = .05

Griggs JE (2018)30 Kent Surrey & Sussex UK2010‐2015To compare mortality for patients with suspected traumatic haemorrhage receiving PHTRBC compared to crystalloidCode Red patients receiving PHTRBCCode Red patients receiving crystalloidsAdjusted data92Scene (100%)

PHTRBC: Blunt: 95% Penetrating: 5% MVC 68% Fall 9%

Control: Blunt: 99% Penetrating: 1% MVC: 58% Fall: 9%

Mean (SD) PHTRBC:32 (12)

Control: 21 (14) P = .67

Holcomb JB‐b (2015)18 Texas USA2011‐2013To evaluate effect of PHTRBC and/or PHT‐plasma on survival and blood product useReceivers of PHTRBC and/or PHT‐plasmaReceivers of in‐hospital transfusionadjusted data137b Scene (100%)

PHT: Blunt: 77% Penetrating: 23%

Control: Blunt 83% Penetrating 17% P = .447

PHT: 22 (12‐29)

Control: 22 (11‐33) P = .998

Kim BD (2012)22 Minnesota USA2009‐2011The analyse the effect of PHT‐plasma on coagulopathyReceivers of PHT‐plasma + PHTRBCReceivers of PHTRBC onlyno59 (of whom 50 RBC only)Scene+ interfacility (100%)

Plasma: Blunt: 67% Penetrating: 33%

PHTRBC only: Blunt: 82% Penetrating 18% P = .317

Plasma: 27

PHTRBC: 23 P = .918

Miller B (2016)31 Tennessee USA2007‐2013To examine the impact of PHTRBC on mortalityReceivers of PHTRBCNo prehospital transfusionPropensity score231 (195 matched)Scene (100%)

PHTRBC: Blunt: 78% Penetrating: 22%

Matched control: Blunt: 90% Penetrating: 10% P < .001

PHTRBC: 34 (22‐43)

Matched control: 32 (22‐43)

P = .903

Parker ME (2017)32 Minnesota USA2010‐2014To examine PHT of plasma and/or RBC on outcomes in exsanguinating GI bleedingReceivers of PHTRBC and/or PHT‐plasma with acute GI bleedingVs GI‐bleed patients without transfusionNo112b Interfacility (0%)n/an/a
Peters J (2017)33 Nijmegen Rotterdam The Netherlands2007‐2015To establish the efficacy and safety of the PHTRBC by HEMSReceivers of PHTRBCReceivers of crystalloids onlyMatched73 (50 matched)Scene (100%)

PHTRBC: Blunt: 93% Penetrating: 7% MVC 70% Fall from height 10%

Matched control: Blunt: 94% Penetrating: 6% MVC 68% Fall from height 12%

PHTRBC: 34 (9‐75)

Control:

35 (18‐75) P = .242

Price DD (1999)34 Oregon USA1989‐1995To evaluate the efficacy of early blood transfusionReceivers of PHTRBC during air transportReceivers of crystalloids in ground transportMatched84n/d (100%)n/dn/d
Rehn M (2018)35 London UK2009‐2015To investigate the effect of PHTRBC on overall blood product use“Code Red” patients after implementation of PHTRBC“Code Red” patients before implementation of PHTRBCAdjusted data128Scene (100%)

PHTRBC: Blunt: 64.8% Penetrating: 35.2% MVC: 42.2% Falls: 11.7%

Control: Blunt: 68.6% Penetrating: 31.4% MVC: 42.3% Falls: 12.4% Other blunt: 13.9%

PHTRBC: 29 (25‐43)

Control:

27 (19‐41)

Rehn M (2019)36 London UK2009‐2015To investigate the effect of PHTRBC on mortality“Code Red” patients after implementation of PHTRBC“Code Red” patients before implementation of PHTRBCAdjusted data239Scene (100%)

PHTRBC: Blunt: 146 (61%) Penetrating 93 (39%)

Control: Blunt: 189 (63%) Penetrating: 111 (37%)

n/d
Sumida MP (2000)37 Tennessee Connecticut USA1995‐1996To analyse the effect of PHTRBC on physiologic parameters and outcomeReceivers of PHTRBCReceivers of crystalloids onlyno17Scene+ interfacility (100%)n/d

PHTRBC 28

Control: 27.8

P = .957

Prospective not‐comparative studies
Chang R (2018)25 USA (9 trauma centers)2015To describe the phenotype and laboratory coagulation abnormalities of clinically evident coagulopathic bleeding (CC) after traumaHighest‐risk trauma patients, CC+CC‐Adjusted dataPHTRBC in CC+ vs CC‐ 18 (44%) vs 82 (8%) P < .001Scene (100%)

Overall: CC+ vs CC‐:

Blunt: 28 (68%) vs 792 (81%) Penetrating: 12 (30%) vs 165 (17%) Both: 1 (2%) vs 21 (2%)

Injury type P = .09

CC+:32 (25‐41)

CC‐: 17 (8‐27)

P < .001

Reed M (2017)24 Scotland2013‐2015To evaluate the prehospital activation of Code RedPatients for whom a pre‐hospital Code Red was activatedNonen/a16n/d (100%)Overall: Blunt: 44 (83%) Penetrating: 9 (17%)

Overall:

24 (14‐37)

Sherren PB (2013)38 Greater Sydney Area Australian/s (5 y)To describe PHTRBCMissions involving PHTRBCNonen/a147n/d (100%)Blunt: 93.9% Penetrating: 6.1% MVC: 79 Fall from height: 3.4% Other: 11.6%

RTS: 5.967

(4.083‐6.904)

Weaver AE (2012)39 London UK2012To examine the impact of on‐scene PHTRBC for seriously injured patientsReceivers of PHTRBCNonen/a50Scene (100%)n/dn/d
Retrospective not‐comparative studies
Berns KS (1998)40 Minnesota USA1993‐1996To document the development of protocols for and to review the experience with PHTRBCReceivers of PHTRBCNonen/a94scene+ interfacility (48%)n/dn/d
Bodnar D‐b (2014)41 Greater Brisbane Australia2011‐2012To describe the characteristics, clinical interventions and the outcomes of PHTRBC patientsReceivers of PHTRBCNonen/a71Scene (100%)

Blunt: 73.2%

Penetrating: 26.8%

MVC 67%

Mean (SD) 32.1 (18.2)
Dalton AM (1993)42 Oregon Washington USA1985‐1992To show that PHTRBC is safe and practicalReceivers of PHTRBC with MASTReceivers of PHTRBC without MASTn/a112n/d (100%)

Overall: Blunt: 86%

Penetrating: 14%

MVC: 72%

Mean: MAST: 33

non‐MAST: 31

Fahy AS (2017)43 Minnesota USA2002‐2014To report our experience with a prehospital transfusion protocol in pediatric patientsPediatric trauma patients receiving PHTRBC and/or ‐plasmaPediatric non‐trauma patients receiving PHTRBC and/or ‐plasman/a28b scene+ interfacility (57%)

Blunt: 88%

Penetrating: 12%

MVC: 63%

Gunshot wounds: 13%

24 (range 9‐66)
Heschl S (2018)44 Victoria Australia2011‐2015To describe the characteristics of PHTRBCAll cases where approval for PHTRBC was sought by paramedicsNonen/a142Scene (96%)

Blunt/penetrating: n/d

MVC: 88%

Crush/fall/other: 11.8%

mean (SD):

36.5 (15.8)

Higgins GL (2012)45 Maine USA2007‐2008To describe PHTRBC with respect to safety and efficacy and improvement in conditionreceivers of PHTRBCNonen/a45scene+ interfacility (71%)n/dn/d
Hooper N (2017)46 Southwest UK2015‐2016To describe experience with PHTRBCReceivers of PHTRBCNonen/a62n/d (84%)n/dn/d
Krook C (2018)47 Western Canada2013‐2017To describe the implementation and stewardship of a prehospital blood transfusion programReceivers of PHTRBCNonen/a274scene+ interfacility (74%)n/dn/d
Krugh D (1994)48 Ohio USA1991‐1993To describe and review the implementation of an off‐site blood product storage programReceivers of PHTRBCNonen/a8n/d (50%)n/dn/d
Lyon R (2017)49 Kent Surrey & Sussex UK2013‐2014To describe the characteristics of receivers of PHTRBC and evaluate their subsequent in‐hospital needsReceivers of PHTRBCNonen/a147scene (97%)

Blunt: 128 (87%) Penetrating: 14 (10%) MVC: 103 (73%)

Fall from height: 17 (11.6%)

33 (SD 13.4)
Maher P (2017)50 Washington, USA2015To describe the development of a HEMS transfusion programReceivers of PHTRBC or ‐plasmaNonen/a

RBC 13

FFP 3

scene+ interfacility (85%)n/dn/d
Mena‐Munoz J (2016)51 Pennsylvania Ohio Maryland USA2003‐2012To characterise receivers of out of hospital transfusion of blood products (mostly RBC and/or plasma) during critical care transportReceivers of out of hospital blood productsNonen/a1440b Scene + interfacility (19%)n/dn/d
Mix FM (2018)52 Minnesota, USA2011‐2015To determine whether opportunities for blood product administration by ground ALS ambulances existAdult trauma patients with potential need for prehospital blood administrationNonen/a28Scene (100%)

Blunt: 26 (93%)

Penetrating: 2 (7%)

n/d
Potter D (2015)53 Minnesota USA2003‐2012To summarize our initial experience with PHTRBC and PHT‐plasma in pediatric trauma patientsReceivers (<18 y) of PHTRBC and/or PHT‐plasmaNonen/a16b Scene + interfacility (100%)

Blunt: 87.5%

Penetrating: 12.5%

Mean 30 (range 9‐66)
Raitt JE (2018)54 Thames Valley UK2014‐2016To review the appropriateness of PHTRBC and to identify outcomesreceivers of PHTRBCNonen/an/aScene (95%)Blunt: 53 (84%) Penetrating: 7 (11%) MVC 42 (67%) Fall 8 (13%)ISS 34 (21‐43)
Sunde GA (2015)55 Bergen Norway2014To describe our preliminary results after implementing PHTRBC and PHT‐plasmaReceivers of PHTRBC and/or PHT‐plasmaNonen/a4b scene (75%)

Blunt: 67%

Penetrating: 33%

n/d
Thiels CA (2016)56 Minnesota USA2002‐2014To report our experience with prehospital blood product transfusionNon‐trauma patients receiving PHTRBC and/or ‐plasmaTrauma patients receiving PHTRBC and/or ‐plasmanoPHTRBC 654Scene + interfacility (36%)n/dn/d
Wheeler R (2013)23 New England USA2005‐2009To determine factors associated with hypothermiatrauma patients transported by HEMS, hypothermic on arrivalNon‐hypothermic trauma patients, transported by HEMSn/a30Scene (100%)n/d(Mean ± SD): Hypothermic: 26.07 ± 11.86 Non‐hypoth: 15.53 ± 11.39
Case reports
Garner AA (1999)57 Sydney Australia1997Case reportn/a1b Scene (100%)Blunt: 100%43 (n = 1)
Lawton LD (2012)58 Queensland Australian/sCase reportn/a1b Scene (100%)Blunt: 100%n/d
Macnab AJ (1996)59 British Columbia Canada1996Case reportn/a1Interfacility (0%)n/an/a
Description of protocol
Trembley AL (2016)60 Minnesota Wisconsin USA2016Description of implementation of protocoln/an/an/an/dScene + interfacility (n/d)n/dn/d
Vartanian, L (2017)61 Texas, USA2016Description of implementation of protocolReceivers of PHTRBC and/or ‐plasmaNonen/a12n/d (67%)

Blunt: 7 (87%)

Penetrating: 1 (12%)

MVC: 5 (62%) Fall: 1 (8%)

n/d
Military services
Prospective comparative studies
Vitalis V (2017)62 French armed forces Sahel2016‐2017To evaluate the practices of battlefield transfusion (RBC, plasma, FWB)Severely injured receivers of PHT‐RBC or ‐plasma or ‐FWBNo battlefield transfusionNo7b (4 of whom RBC)POI + Role 1Overall: Blunt: 1 (4%) Penetrating: 27 (96%) Explosion 16 (57%) Active external haemorrhage 12 (43%)

PHT: 45 (33‐52)

Control: 25 (16‐22) P = .01

Retrospective comparative studies
Howard, JT (2017)63 US military Afghanistan2001‐2014To evaluate potential influences on KIA mortalityCasualties who needed and received PHTCasualties who needed but did not receive PHTAdjusted data75c Prehospital helicopter transport to FST or CSH

Overall: Explosion: 65.1% Gunshot: 22.5%

Blunt or other: 11.4%

n/d
O'Reilly DJ‐b (2014)64 UK MERT‐E Afghanistan2006‐2011To evaluate the effect of PHTRBC/PHT‐plasma on mortalityReceivers of PHTRBC and PHT‐plasmaMatched patients where no PHT availablePropensity score97b POI + Role 1

PHT: Blunt: 1% Penetrating: 99% Burn: 0% Explosive: 51.5% Gunshot wound: 47.4% Matched control: Blunt: 3.1% Penetrating: 96.9% Burn: 0% Explosive: 49.5%

Gunshot wound: 47.4%

PHT:

16 (9‐25) Control:

16 (9‐24.5) P = .686

Shackelford S (2017)65 UK MERT, US Air Force Pedro, US DUSTOFF, Afghanistan2012‐2015To examine the association of PHTRBC and/or PHT‐plasma and time to initial transfusion with injury survivalreceivers of PHTRBC and/or PHT‐plasmano PHTfrequency matched55b POI to role 2 or 3

PHT: Explosives 84% Gunshot wound 16%

≥1 AMputation: 73% Hemorrhagic torso injury 56%

Control: Explosives: 71% Gunshot wound: 29% P = .05

≥1 AMputation: 27% P < .001 Hemorrhagic torso injury: 35% P = .004

PHT:

29 (17‐36)

Control: 28.6 (24.0‐33.2) P = .88

Prospective not‐comparative studies
Aye Maung N (2015)66 UK army Afghanistan2012‐2014To explore the utility and feasibility of forward transfusion of RBCMissions where blood components were carriedNonen/a2POI + Role 1Gunshot wound: 100% (n = 2)n/d
Malsby RF (2013)67 US Army, Afghanistan2012Process improvement initiative of blood product transfusion on Urgent helicopter evacuation casualtiesReceivers of PHTRBC and/or PHT‐plasmaNonen/a15b POI + Role 1

Explosion: 87%

Gunshot wound: 13%

≥1 AMputation: 60%

n/d
Retrospective not‐comparative studies
Barkana Y (1999)68 Israel Defense Force Medical Corps, Israel1994‐1996To characterise the different aspects of PHTRBC and to evaluate its potential effect on the morbidity and mortalityReceivers of PHTRBCNonen/a40POI + Role 1Blunt: 22.5% Penetrating: 77.5% Explosion: 47.5% Gunshot wounds: 22.5% Explosion + gunshot wounds: 7.5% MVC: 20% Fall from height: 2.5%18 (11.5‐25)
Chen J (2017)69 Israeli Air Force, Israel2003‐2010To describe PHTRBC, and to evaluate adherence to clinical practice guidelinesReceivers of PHTRBCNonen/a89Scene+ interfacilityCombat: 69% Non‐combat: 31% Gunshot wounds: 36% MVC: 28% Explosions: 24% Stab wound: 4% Plane crash: 2% Fall from height: 2%n/d
Edgar IA (2014)70 US and UK military, Afghanistan2011To compare initial management and early outcomes in patients suffering bilateral lower limb amputations and differences related to the type of aeromedical evacuation assetsSurviving adult male patients with bilateral traumatic lower limb amputations transferred by MERT in a CH‐47 Chinook helicoptervs transferred by PEDRO in an HH‐60 Pavehawk helicopter.n/an/d

POI to

Role 3

Only patients with bilateral lower limb amputations

NISS

MERT: 27 (range 19‐41)

PEDRO: 27 (range 22‐29) P = 1

Morrison JJ (2013)71 US and UK military Afghanistan2008‐2011To characterise and compare mortality among casualties evacuated with conventional military retrieval (CMR) to those evacuated with an advanced medical retrieval (AMR) capabilityCasualties evacuated from POI by an AMR capabilityVs those evacuated by a medic‐led CMR capabilityn/a162b POI to role 3

AMR: Blast: 70.4% Gunshot: 24.3% Other: 5.3%

CMR: Blast: 60.8% P < .001

Gunshot: 34.9% Other: 4.3%

Mean (SD):

AMR: 16 (17)

CMR: 15 (16) P = .122

O'Reilly DJ‐a (2014)72 UK MERT‐E Afghanistan2008‐2011To present the initial experience of military PHTRBC and PHT‐plasmaReceivers of PHTRBC and/or PHT‐plasmaNonen/a310b POI to role 2 or 3Blunt: 1.0% Penetrating: 99% Burn: 0.3% Explosive: 72.9% Gunshot wound 25.8%20 (16‐29)
Powell‐Dunford N (2014)73 US Army, Afghanistan2012To enumerate the specific risks and risk management strategies of en route transfusionReceivers of PHTRBC and/or PHT‐plasmaNonen/a61b (54 of whom RBC)n/d

Explosion: 74%

Gunshot wound 26%

n/d
Shlaifer A (2017)74 Israeli Defense Forces, Israel2013‐2016To describe feasibility, safety, adverse reactions, and adherence to clinical practice guidelines in PHT‐plasmaReceivers of PHT‐plasma. Among them 9 receivers of PHTRBCNonen/a9b POI + Role 1

Penetrating: 68.5% Blunt: 15.2%

Burn: 1.1% Blast: 1.1%

Combination: 14.1%

ISS 1‐8:10.9% ISS 9‐14:20.7% ISS 16‐24:28.3% 25‐75:40.1%
Case reports
West BC (2004)75 US Army Afghanistan2004Case reportn/a1POI to FSTPenetrating: 100% (n = 1)n/d

Note: Median (IQR) unless otherwise specified.

Abbreviations: AMR, advanced medical retrieval; CC, clinically evident coagulopathic bleeding; CMR, conventional military retrieval; CSH, Combat Support Hospital; FFP, Fresh frozen plasma; FST, Forward Surgical Team; FWB, fresh whole blood; GI, gastro‐intestinal; HEMS, Helicopter Emergency Medical Service; ISS, Injury Severity Score; KIA, Killed in action; MAST, Medical antishock trousers; MERT(−E), Medical Emergency Response Team (−Enhanced); MVC, motor vehicle collision; n/a, not applicable; n/d, not described; n/s, not specified for PHTRBC; (N)ISS, (New) Injury Severity Score PHT, prehospital transfusion; PHTRBC, prehospital transfusion of red blood cells; PHT‐plasma, prehospital transfusion of plasma; POI, point of injury; RBC, red blood cells; RCT, randomised clinical trial; RTS, Revised trauma score; SD, SD; TIC, trauma induced coagulopathy; U, Units; UK, United Kingdom; USA, United States of America.

PHTRBC unless otherwise specified; matched number of patients if applicable.

PHTRBC and/or other prehospital blood component products.

blood products not specified.

Overview of studies PHT: Blunt: 55% Penetrating: 45% Control: Blunt: 75% Penetrating: 25% P = .002 PHT: 29 (17‐41) Control: 26 (17‐34) P = .106 PHT: Blunt: 79.1% Penetrating: 20.9% Matched control: Blunt: 72.7% Penetrating: 27.3% PHT: 24 (10‐34) Control: 22 (10‐34) Blunt: 100% Penetrating: 0% (per exclusion) PHTRBC: 34 (18‐43) Control: 30 (23‐43) P = .81 PHTRBC: Blunt: 191(80%) Penetrating: 49(20%) Matched Controls: Blunt: 395(82%) Penetrating: 85(18%) PHTRBC: 18 (10‐29) Matched Control: 17 (9‐27) P = .05 PHTRBC: Blunt: 95% Penetrating: 5% MVC 68% Fall 9% Control: Blunt: 99% Penetrating: 1% MVC: 58% Fall: 9% Mean (SD) PHTRBC:32 (12) Control: 21 (14) P = .67 PHT: Blunt: 77% Penetrating: 23% Control: Blunt 83% Penetrating 17% P = .447 PHT: 22 (12‐29) Control: 22 (11‐33) P = .998 Plasma: Blunt: 67% Penetrating: 33% PHTRBC only: Blunt: 82% Penetrating 18% P = .317 Plasma: 27 PHTRBC: 23 P = .918 PHTRBC: Blunt: 78% Penetrating: 22% Matched control: Blunt: 90% Penetrating: 10% P < .001 PHTRBC: 34 (22‐43) Matched control: 32 (22‐43) P = .903 PHTRBC: Blunt: 93% Penetrating: 7% MVC 70% Fall from height 10% Matched control: Blunt: 94% Penetrating: 6% MVC 68% Fall from height 12% PHTRBC: 34 (9‐75) Control: 35 (18‐75) P = .242 PHTRBC: Blunt: 64.8% Penetrating: 35.2% MVC: 42.2% Falls: 11.7% Control: Blunt: 68.6% Penetrating: 31.4% MVC: 42.3% Falls: 12.4% Other blunt: 13.9% PHTRBC: 29 (25‐43) Control: 27 (19‐41) PHTRBC: Blunt: 146 (61%) Penetrating 93 (39%) Control: Blunt: 189 (63%) Penetrating: 111 (37%) PHTRBC 28 Control: 27.8 P = .957 Overall: CC+ vs CC‐: Blunt: 28 (68%) vs 792 (81%) Penetrating: 12 (30%) vs 165 (17%) Both: 1 (2%) vs 21 (2%) Injury type P = .09 CC+:32 (25‐41) CC‐: 17 (8‐27) P < .001 Overall: 24 (14‐37) RTS: 5.967 (4.083‐6.904) Blunt: 73.2% Penetrating: 26.8% MVC 67% Overall: Blunt: 86% Penetrating: 14% MVC: 72% Mean: MAST: 33 non‐MAST: 31 Blunt: 88% Penetrating: 12% MVC: 63% Gunshot wounds: 13% Blunt/penetrating: n/d MVC: 88% Crush/fall/other: 11.8% mean (SD): 36.5 (15.8) Blunt: 128 (87%) Penetrating: 14 (10%) MVC: 103 (73%) Fall from height: 17 (11.6%) RBC 13 FFP 3 Blunt: 26 (93%) Penetrating: 2 (7%) Blunt: 87.5% Penetrating: 12.5% Blunt: 67% Penetrating: 33% Blunt: 7 (87%) Penetrating: 1 (12%) MVC: 5 (62%) Fall: 1 (8%) PHT: 45 (33‐52) Control: 25 (16‐22) P = .01 Overall: Explosion: 65.1% Gunshot: 22.5% Blunt or other: 11.4% PHT: Blunt: 1% Penetrating: 99% Burn: 0% Explosive: 51.5% Gunshot wound: 47.4% Matched control: Blunt: 3.1% Penetrating: 96.9% Burn: 0% Explosive: 49.5% Gunshot wound: 47.4% PHT: 16 (9‐25) Control: 16 (9‐24.5) P = .686 PHT: Explosives 84% Gunshot wound 16% ≥1 AMputation: 73% Hemorrhagic torso injury 56% Control: Explosives: 71% Gunshot wound: 29% P = .05 ≥1 AMputation: 27% P < .001 Hemorrhagic torso injury: 35% P = .004 PHT: 29 (17‐36) Control: 28.6 (24.0‐33.2) P = .88 Explosion: 87% Gunshot wound: 13% ≥1 AMputation: 60% POI to Role 3 NISS MERT: 27 (range 19‐41) PEDRO: 27 (range 22‐29) P = 1 AMR: Blast: 70.4% Gunshot: 24.3% Other: 5.3% CMR: Blast: 60.8% P < .001 Gunshot: 34.9% Other: 4.3% Mean (SD): AMR: 16 (17) CMR: 15 (16) P = .122 Explosion: 74% Gunshot wound 26% Penetrating: 68.5% Blunt: 15.2% Burn: 1.1% Blast: 1.1% Combination: 14.1% Note: Median (IQR) unless otherwise specified. Abbreviations: AMR, advanced medical retrieval; CC, clinically evident coagulopathic bleeding; CMR, conventional military retrieval; CSH, Combat Support Hospital; FFP, Fresh frozen plasma; FST, Forward Surgical Team; FWB, fresh whole blood; GI, gastro‐intestinal; HEMS, Helicopter Emergency Medical Service; ISS, Injury Severity Score; KIA, Killed in action; MAST, Medical antishock trousers; MERT(−E), Medical Emergency Response Team (−Enhanced); MVC, motor vehicle collision; n/a, not applicable; n/d, not described; n/s, not specified for PHTRBC; (N)ISS, (New) Injury Severity Score PHT, prehospital transfusion; PHTRBC, prehospital transfusion of red blood cells; PHT‐plasma, prehospital transfusion of plasma; POI, point of injury; RBC, red blood cells; RCT, randomised clinical trial; RTS, Revised trauma score; SD, SD; TIC, trauma induced coagulopathy; U, Units; UK, United Kingdom; USA, United States of America. PHTRBC unless otherwise specified; matched number of patients if applicable. PHTRBC and/or other prehospital blood component products. blood products not specified. We included 14 articles discussing PHTRBC in military medical services, of which four studies had a control population. Four articles reported prehospital transfusion as an additional topic, while primarily discussing another aspect of their study70, 71, 74, 76 (Table 1). No randomised trials were identified; all studies were observational. The potential overlap of patients in different manuscripts was substantial (Tables 2 and 3). The bias assessment of the studies is shown in Table 4.
Table 2

Included civilian studies by region and medical service, making potential overlapping study populations visible

CountryRegionFirst author (y)Comments858687888990919293949596979899000102030405060708091011121314151617181920
Australia(Greater) BrisbaneBodnar D‐b (2014)41
Lawton LD (2012)58 Case report
(Greater) SydneyGarner AA (1999)57 Case report
Sherren PB (2013)38 Exact period not specified
VictoriaHeschl S (2018)44
CanadaBr. ColumbiaMacnab AJ (1996)59 Case report
W. CanadaKrook C (2018)47 Shock Trauma Air Rescue Society (STARS)
NLNijmegen, R'damPeters J (2017)33
NorwayBergenSunde GA (2015)55
UKKent, Surrey & SussexGriggs JE (2018)30
Lyon R (2017)49
LondonRehn M (2018)35
Rehn M (2019)36
Weaver AE (2012)39
ScotlandReed M (2017)24
South WestHooper N (2017)46
Thames ValleyRaitt JE (2018)54
USAAlabamaChang R (2018)25 9 trauma centers
Holcomb J (2017)27 9 trauma centers
ArizonaChang R (2018)25 9 trauma centers
Holcomb J (2017)27 9 trauma centers
Brown JB‐a (2015)28 9 institutions
CaliforniaChang R (2018)25 9 trauma centers
Holcomb J (2017)27 9 trauma centers
ConnecticutSumida MP (2000)37
IllinoisBrown JB‐a (2015)28 9 institutions
Chang R (2018)25
MarylandHolcomb J (2017)27 9 trauma centers
Mena‐Munoz J (2016)51
Berns KS (1998)40 Mayo HEMS
Brown JB‐a (2015)28 9 institutions; Trauma only
Chang R (2018)25 9 trauma centers
Fahy AS (2017)43 Mayo One, Mayo Pediatric/Neonatal Transport; Pediatric patients only
Holcomb J (2017)27 9 trauma centers
MinnesotaKim BD (2012)22 Mayo HEMS; Trauma only
Mix FM (2018)52 Mayo HEMS and ground EMS; Trauma only
Parker ME (2017)32 Mayo HEMS; GI bleed only
Potter D (2015)53 Mayo HEMS; Pediatric patients only
Thiels CA (2016)56 Mayo HEMS
Trembley AL (2016)60 North Memorial Air Care; Description of protocol
New EnglandBrown JB‐a (2015)28 a 9 institutions
Higgins GL (2012)45 b
Wheeler R (2013)23 c
Chang R (2018)25 9 trauma centers
Holcomb J (2017)27 9 trauma centers
OhioKrugh D (1994)48
Mena‐Munoz J (2016)51
OregonChang R (2018)25 9 trauma centers
Dalton AM (1993)42
Holcomb J (2017)27 9 trauma centers
Price DD (1999)34
PennsylvaniaBrown JB‐a (2015)28 9 institutions
Brown JB‐b (2015)29 STAT MedEvac
Mena‐Munoz J (2016)51
TennesseeMiller B (2016)31
Sumida MP (2000)37
Brown JB‐a (2015)28 9 institutions
Chang R (2018)25 9 trauma centers
TexasHenriksen H (2016)26
Holcomb JB‐b (2015)18
Holcomb J (2017)27 9 trauma centers
Vartanian, L (2017)61 Cypress Creek EMS; Description of protocol
Brown JB‐a (2015)28 9 institutions
Chang R (2018)25 9 trauma centers
WashingtonDalton AM (1993)42
Holcomb J (2017)27 9 trauma centers
Maher P (2017)50
WisconsinTrembley AL (2016)60 North Memorial Air Care; Description of protocol

Abbreviations: NL, the Netherlands; P.‐A.‐C. d'A., Provence‐Alpes‐Côte‐d'Azur; R'dam, Rotterdam.

Massachusetts General Hospital.

Lewiston and Bangor, LifeFlight of Maine.

Dartmouth‐Hitchcock Medical Center, Lebanon, New Hampshire.

Table 3

Included military studies by region and medical service, making potential overlapping study populations visible

SubjectFirst author (y)Comments949596979899000102030405060708091011121314151617
UK‐MERT AfghanistanAye Maung N (2015)66
Edgar IA (2014)70
Morrison JJ (2013)71
O'Reilly DJ‐b (2014)64
O'Reilly DJ‐a (2014)72
Shackelford S (2017)65
USA AfghanistanEdgar IA (2014)70 Pedro
Howard, JT (2017)63 All helicopters
Malsby RF (2013)67 Dustoff
Morrison JJ (2013)71 Pedro/Dustoff
Shackelford S (2017)65 Pedro/Dustoff
Powell‐Dunford N (2014)73 Medevac helicopter
West BC (2004)75 Case report
France SahelVitalis V (2017)62
IsraelBarkana Y (1999)68
Chen J (2017)69
Shlaifer A (2017)74

Abbreviations: MERT, Medical Emergency Response Team; UK, United Kingdom; USA, United States of America.

Table 4

Risk of bias assessment, Newcastle‐Ottawa Scale

First author (y)SelectionComparabilityOutcome
Civilian services
Prospective comparative studies
Henriksen H (2016)26 ★★★★
Holcomb J (2017)27 ★★★★★★★
Retrospective comparative studies
Brown JB‐a (2015)28 ★★★★★★★
Brown JB‐b (2015)29 ★★★★★★★★
Griggs JE (2018)30 ★★★★★★★★★
Holcomb JB‐b (2015)18 ★★★★★★★
Kim BD (2012)22 ★★★★★
Miller B (2016)31 ★★★★★★
Parker ME (2017)32 ★★★★★
Peters J (2017)33 ★★★★★
Price DD (1999)34 ★★★★
Rehn M (2018)35 ★★★★★★
Rehn M (2019)36 ★★★★★★
Sumida MP (2000)37 ★★★
Military services
Prospective comparative studies
Vitalis V (2017)62 ★★★★★★★
Retrospective comparative studies
Howard, JT (2017)63 ★★★★★
O'Reilly DJ‐b (2014)64 ★★★★★
Shackelford S (2017)65 ★★★★★★★
Included civilian studies by region and medical service, making potential overlapping study populations visible Abbreviations: NL, the Netherlands; P.‐A.‐C. d'A., Provence‐Alpes‐Côte‐d'Azur; R'dam, Rotterdam. Massachusetts General Hospital. Lewiston and Bangor, LifeFlight of Maine. Dartmouth‐Hitchcock Medical Center, Lebanon, New Hampshire. Included military studies by region and medical service, making potential overlapping study populations visible Abbreviations: MERT, Medical Emergency Response Team; UK, United Kingdom; USA, United States of America. Risk of bias assessment, Newcastle‐Ottawa Scale

Patient characteristics

In total, 47 civilian studies reported on trauma patients. Blunt injury was most prevalent in the included studies, ranging from 55% to 100% of trauma patients.18, 22, 24, 25, 26, 27, 28, 29, 30, 31, 33, 35, 36, 38, 41, 42, 43, 49, 52, 53, 54, 55, 57, 58, 61 The mean or median injury severity score (ISS) varied from 18 to 43 (Table 1).18, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 35, 37, 41, 42, 43, 44, 49, 53, 54, 57 The most frequent mechanisms of injury were motor vehicle collisions (42%‐88%) 30, 33, 35, 38, 41, 42, 43, 44, 49, 54, 61 and falls from a height (3.4%‐13%).30, 33, 35, 38, 49, 54, 61 In military services, penetrating injuries were reported by 68% to 100% of studies 62, 64, 66, 68, 72, 74, 75, 76 and the mean or median ISS varied from 15 to 45 (Table 1).62, 64, 65, 68, 70, 71, 72 The most frequently reported mechanisms of injury were explosions (1%‐87%)62, 64, 65, 67, 68, 69, 71, 72, 73, 74, 76 and gunshot wounds (13%‐100%).64, 65, 66, 67, 68, 69, 71, 72, 73, 76 Data on non‐trauma patients were reported in 16 civilian studies and made up 3% to 100% of these study cohorts.32, 40, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 59, 61 Suspected gastro‐intestinal bleeding or ruptured aortic aneurysm were the most often reported non‐traumatic diagnoses in transfused patients. Only one article reported on non‐trauma patients attended to by military services; the two patients were transferred between facilities and suffered from obstetric haemorrhage or respiratory disease, they accounted for 2% of transfused patients.69

Outcome—Mortality

Civilian

Unadjusted data from one study suggested that less PHTRBC patients died compared with non‐receivers,37 while another unadjusted study found no difference.32 In propensity score‐matched trauma patients, Brown et al28, 29 found a significant advantage of PHTRBC on either 24 hours or 30 day mortality in two different studies, with 50 and 240 transfused patients, respectively. Rehn et al36 found a lower prehospital mortality in trauma patients transported from the scene. After adjustment, Holcomb et al18 found lower odds of mortality in critical trauma patients who received PHTRBC and/or plasma at 6 hours. However, in six other studies reporting matched or adjusted data, no significant effect on mortality was found, either at 3 hours,27 6 hours,26, 30 24 hours,26, 27, 31, 33 28 days30 or 30 days post‐infusion,27, 33 for in‐hospital mortality26, 31 or overall mortality34 (Table 5). Conversely, Kim et al22 found significantly lower mortality at 24 hours and a lower mortality overall for patients transfused with both PHT‐plasma and PHTRBC compared with patients receiving PHTRBC only. These studies varied in patient and injury characteristics, type of transport (from scene/ interfacility/ both), type of blood products used (RBC only or a combination of blood products), transfusion criteria as well as outcome measures, and therefore, data could not be meaningfully combined in a meta‐analysis.
Table 5

Outcomes

First author (y)Mortality (n [%])Shock on arrival to hospitala 24 h RBC requirement (U)ICU/hospital LOS (d)TICa Adverse events
Civilian services
Prospective comparative studies
Henriksen H (2016)26 PHT vs control

6 h: 10 (13.3%) vs 15 (8.3%) P = .210

24 h: 12 (16%) vs 19 (10.4%) P = .213

In‐hospital: 20(26.7%) vs 38(20.9%) P = .313

SBP: 90 (77‐113) vs 100 (80‐125) P = .044

DBP: 59 (50‐69) vs 60 (48‐76) P = .299

HR: 111 (90‐133) vs 108 (85‐130) P = .425

pH: 7.21 (7.06‐7.32) vs 7.27 (7.18‐7.33) P = .002

BE: −6 (−10 ‐ −3) vs −4 (−10 ‐ −1) P = .073

10 (4‐15) vs 4 (2‐9) P < .001 n/d

rTEG MA: 62 vs 64 P = .02

G‐value: 8.1 vs 8.69 P = .009

ACT: 121 vs 121

R‐time: 0.8 vs 0.8 K‐time: 1.65 vs 1.45 Angle: 70 vs 73 Ly30: 1 vs 1.4

Adjusting for PH‐RBC, PHT‐plasma associated with increased rTEG MA: 1 U increase in PH‐plasma was associated with (β coefficient) 13.95 mm (95%CI 3.13‐24.77 P = .012

n/d
Henriksen H (2016)26 PHT vs control, matched

3 h: 4 (9.3%) vs 8 (12.1%) OR 0.74 (95% CI 0.24‐2.26) P = .60

24 h: 5 (11.6%) vs 10 (15.2%) OR 0.74 (95% CI 0.25‐2.17) P = .58

30d: 8 (18.6%) vs 14 (21.2%) OR 0.85 (95% CI 0.32‐2.28) P = .75

n/dn/dn/dn/dn/d
Retrospective comparative studies
Brown JB‐a (2015)28 PHTRBC vs control, matched

24 h: OR 0.02 (95% CI 0.01‐0.69) P = .04 30d: HR 0.12 (95% CI 0.03‐0.61) P = .01 Scene patients:

24 h: OR = 0.04 (95% CI 0.01‐1.12) P = .059

30d: HR = 0.11 (95% CI 0.02‐0.54) P < .01

Admission hypotension: 60% vs 74% P = .02

BE −10 (−5 ‐ ‐12) vs −9 (−7 ‐ ‐12) P = .88

14.0 (7.0‐21.7) vs 8.3 (3.4‐18.5) P = .03 n/d

INR > 1.5 OR = 0.01 (95% CI 0.01‐0.95) P = .05

Scene only: OR = 0.08 (95% CI 0.01‐1.35) P = .079

n/d
Brown JB‐b (2015)29 PHTRBC vs control, matched

24 h: 53 (22%) vs 86 (18%) P = .16

In‐hospital: 74 (31%) vs 115 (24%) P = .03 24 h survival: AOR 4.91 (95% CI 1.51‐16.04) P = .01

In‐hospital survival: AOR 1.06 (95% CI 0.42‐2.61) P = .90

Matched scene patients:

24 h: 23 (32%) vs 37 (6%) P = .33

In‐hospital: 26 (37%) vs 48 (34%) P = .68 24 h survival: AOR 6.31 (95% CI 1.88‐21.14) P < .01

In‐hospital survival: AOR 4.32 (95% CI 0.76‐24.72) P = .10

SBP 106 (80‐132) vs 110 (91‐130) P = .07

“Shock on admission”; 139 (58%) vs 226 (47%) P < .01 AOR 0.28 (95% CI 0.09‐0.85) P = .03

Matched scene patients:

SBP 82 (60‐92) vs 104 (81‐126) P = .01

“Shock on admission”: 51 (72%) vs 99 (70%) P = .74 AOR 0.24 (95% CI 0.07‐0.80) P = .02

5 (2‐11) vs 4 (2‐9) P = .06

Matched scene patients:

8 (2‐18) vs 9 (3‐13) P = .66

>4 U lower requirement; Coefficient − 4.5 U (95% CI ‐8.3 to −0.7) P = .02

n/d

INR: 1.4 (1.2‐1.9) vs 1.2 (1.1‐1.6) P < .01

TIC: 113 (47%) vs 149 (31%) P < .01 AOR: 1.39 (95% CI 0.87‐2.24) P = .17

Matched scene patients:

INR 1.5 (1.2‐2.0) vs 1.3 (1.2‐1.6) P = .04

TIC: 37 (52%) vs 51 (36%) P = .06 AOR 2.02 (95% CI 0.53‐7.71) P = .30

ARDS: 5 (2%) vs 14 (3%) P = .61

Matched scene patients:

ARDS: 3 (4%) vs 1 (1%) P = .07

PH transfusion reactions: none

IH transfusion reactions: 1

Griggs JE (2018)30 PHTRBC vs control

6 h 10 (10%) vs 19 (18%) P = .2 AOR 0.48 (95% CI 0.19‐1.19) P = .11

28d: 21 (26%) vs 31 (40%), P = .09 AOR 0.66 (95% CI 0.32‐1.35) P = .26

n/d

3 (1‐8) vs 4.5 (2‐9) (no analysis) ≥4 units RBC in 24 h: 41 (40%) vs 62 (60%) P = .02

≥10 units PRBC in 24 h: 14 (15%) vs 22 (22%) P = .31

n/dn/dNo immediate transfusion complications
Holcomb JB‐b (2015)18 PHT vs control:

6 h: 12% vs 10% P = .425 Adjusted: OR 0.23 (95%CI 0.106‐1.056) P = .088

24 h: 14% vs 13% P = .529 Adjusted: OR 0.57 P = .176

30‐d: 22% vs 21% P = .626 Adjusted: OR 0.80 P = .478

Adjusted, in critical patients: coefficient: 6 h: 0.23 (95% CI 0.062‐0.890) P = .033 24 h: OR 0.57 P = .117 30d: OR 0.71 P = .441

SBP: 115 (90‐135) vs 112 (90‐138) P = .944

HR on arrival: 96 (78‐116) vs 98 (80‐116) P = .649

BE: −3 (−6‐0) vs − 4 (−8 ‐ ‐1) P = .002

pH: 7.30 (7.22‐7.35) vs 7.26 (7.19‐7.32) P = .003

6 h RBC: 0 (0‐4) vs 1 (0‐5) P = .370

Adjusted: Coefficient

6 h transfusion: −3.72 (95% CI − 6.783 ‐ − 0.659) P = .017

24 h transfusion: −3.64 − (95% CI 7.100 to −0.192) P = .039

n/d

ACT: 113 (105‐128) vs 121 (105‐128) P = .546

α‐angle: 73 (69‐76) vs 72 (68‐76) P = .362

mA(mm): 64 (59‐68) vs 64 (59‐67) P = .270

LY30(%): 1.1 (0.2‐2.7) vs 1.3 (0.3‐2.9) P = .568

n/d
Kim BD (2012)22 PHT‐plasma+RBC vs PHTRBC:

6 h: 11% vs 4% P = .422

24 h: 44% vs 10% P = .026

Overall: 56% vs 18% P = .023

SBP: 89 vs 109 P = .057

HR: 100 vs 109 P = .324

Lactate: 5.2 vs 4.4 P = .472

BE: −8.3 vs −8.4 P = .940

pH: 7.19 vs 7.22 P = .634

12.7 vs 11.4 P = .694

ICU: 6.3 vs 7.7 P = .672

Hospital: 11 vs 17 P = .352

INR baseline: 2.6 vs 1.5 P = .004

INR Arrival: 1.6 vs 1.3 P = .001 Change in INRb: 0.9 vs 0.2 P = .078

Arrival aPTT: 51 vs 35 P = .037

ARDS: 11% vs 8% P = .758

ARF: 0% vs 4% P = .600

Miller B (2016)31 PHTRBC vs control, matched:

24 h: 39 (20%) vs 31 (16%) P = .291

In‐hospital: 59 (30%) vs 48 (25%) P = .212

Adjusted:

24 h: OR 1.04 (95% CI 0.54‐1.98) P = .91

In‐hospital: OR 1.05 (95% CI 0.56‐1.96) P = .88

SBP: 92.0 (77.2‐112.5) vs 110 (88.0‐124.0) P < .001

HR: 103 (84‐123) vs 106 (88‐122) P = .363

6 (2‐12) vs 3 (0‐8) P < .001 n/dn/dn/d
Parker ME (2017)32 PHT vs control:
30d: 13% vs 12% P = 1.00

Pre vs post transport (mean SD): PHT:

HCO3 (mmol/L): 23.20 ± 5.14 vs 22.41 ± 4.35 P = .27. Hemodynamic instability 55 (49%) vs 20 (18%) P < .001

Control:

HCO3 (mmol/L) 23.67 ± 6.89 vs 21.90 ± 4.15 P = .29

Hemodynamic instability (%) 47 vs 18 P = .005

PHT vs control:

Any RBC in‐hospital: 96 (86%) vs 40 (82%) P = .6

In‐hospital RBC: 4.0 (2.0‐6.0) vs 3.0 (2.0‐6.0) P = .84

Hospital: 5.0 (4.0‐8.0) vs 6.0 (4.0‐8.0) P = .52 ICU: 2.0 (1.0‐2.0) vs 2.0 (1.0‐3.0) P = .69

Pre vs post transport (mean ± SD): PHT: INR 2.01 ± 1.51 vs 1.56 ± 0.83 P = .01

Control: INR 1.94 ± 0.97 vs 1.62 ± 1.37 P = .32

TRALI: 1
Peters J (2017)33 PHTRBC vs control, matched:

24 h: 19 (30%) vs 16 (32%) P = .531

30d: 22 (45%) vs 20 (40%) P = .547

BE: − 9.9 (−25.0 to −0.7) vs − 6.6 (−23.2 to −0.6) P = .628

Lactate (mmol/l): 3.6 (0.8‐21) vs 3.2 (1.1‐14.2) P = .142

“Shock on admission”: 26 (70%) vs 26 (58%) P = .243

1443 mL (range: 0‐19 315 mL) vs 2240 mL (range: 0‐15 120 mL) P = .004

24 h RBC including PH volume: 1958 mL (range: 270‐20 580) vs 2240 mL (range: 0‐15 120) P = .888

n/d

INR: 1.3 (range 1‐10) vs 1.3 (range 1‐3.1) P = .529

TIC: 14(40%) vs 10(26%) P = .188

PH transfusion reactions: none

IH transfusion reactions: 1

Price DD (1999)34 PHTRBC vs control, matched:
Overall: 45% vs 40% P = .52

HR: 113/min (SD 23) vs 98/min (SD 43) P = .002 SBP: n/sign

DBP: 69 mmHg (SD 19) vs 49 mmHg (SD 30) P = .003

In‐hospital RBC (mean (SD)): 1414 mL (SD 1660) vs 1007 mL (9351) P = .023 ICU/hospital: n/signn/dn/d
Rehn M (2018)35 PHTRBC vs control:
n/dn/d

Total RBC (pre‐hospital + in‐hospital): 4 (2‐6) vs 6 (4‐12) Univariate − 0.624 (95% CI −0.717 to −0.531) P < .001

Multivariate – 0.671 (95% CI –0.767 to −0.574) P < .001

n/dn/dPH/IH transfusion reactions: none
Rehn M (2019)36 PHTRBC vs control:

Overall: 143 (60%) vs 187 (62%)

Univariate: OR 0.90 (95% CI 0.64‐1.28) P = .554

Multivariate: OR 0.92 (95% CI 0.64‐1.32) P = .648

Prehospital: 66 (28%) vs 126 (42%)

P < .001

Univariate: OR 0.53 (0.36‐0.76) P < .001 Multivariate: OR 0.52 (95% CI 0.35‐0.78) P = .001

n/d0 (0‐5) vs 7 (4‐12)n/dn/dn/d
Sumida MP (2000)37 PHTRBC vs control
Overall mortality Frequency ratio: 1.2 vs 1.4 (Live‐1 Die‐2) P = .01

Change in mean BP: 5.5 vs 15.6 P = .227

Change in mean HR: 7.6 vs −3.0 P = .159

pH (mean): 7.23 vs 7.37 P = .008

Bic (mean): 14.6 vs 21.4 P = .0001

n/dn/dn/dn/d
Prospective not‐comparative studies
Chang R (2018)25

n/d for PHTRBC

CC+ patients had increased mortality at all time points (all P < 0 .001)

n/d for PHTRBCn/d for PHTn/d for PHTRBC

CC+ vs CC‐:

Received PHTRBC (n(%)): 18 (44%) vs 82 (8%) P < .001Transfused prehospital plasma: 18 (44%) vs 104 (11%) P < .001

n/d
Reed M (2017)24 n/d for PHTRBCn/d for PHTRBCn/dn/d Coagulopathic patients received more blood component units prehospital (data not provided) P < .01 n/d
Sherren PB (2013)38 Dead on scene: 22 (15%)n/dn/dn/dn/dTransfusion reactions: none
Weaver AE (2012)39 60d: 52%

pH (mean): 7.07

BE (mean): −12.0

Mean: 10.5n/dn/dn/d
Retrospective not‐comparative studies
Berns KS (1998)40 Overall: 45% Trauma only: 52%n/dn/dICU (mean): 12 Hospital (mean): 22n/dComplications: none
Bodnar D‐b (2014)41

Trauma only: Dead on scene: 7 (9.9%)

After arrival, in‐hospital: 25 (39%)

n/dMean (SD): 7.93 (7.18)lCU: 5.5 (2,0‐16.25) Hospital: 15.0 (1 .0‐38.5)n/dn/d
Dalton AM (1993)42 24 h: 46 (41%) Overall: 51 (46%)

Volume of blood and change in SBP: P = .20

MAST vs non‐MAST: SBP rise (mean): 38 mmHg vs 40 mmHg P = .29

n/dn/dn/dPH transfusion reactions: 1 (DIB)
Fahy AS (2017)43 Trauma vs non‐trauma

30d: 2 (12%) vs 2 (17%) P = .39

Overall in‐hospital mortality: 14%

Lactate (mean ± SD): 2.4 ± 0.6 vs 3.2 ± 0.8 P = .09 In‐hospital RBC (mean [range]): 4.3 (0‐8) vs 12.3 (0‐82) P = .03

Hospital LOS (mean):

13.4 vs 8.9 P = .12

(mean (SD)

INR 1.25 ± 0.4 vs 1.3 ± 0.3 P = .69 PTT: 29.9 ± 4.5 vs 31.5 ± 9.6 P = .58

TEG: K 2.8 ± 2.8 vs 2.9 ± 1.1 P = .94

Angle: 61 ± 15.3 vs 54.5 ± 9.2 P = .43

R: 4.9 ± 1.7 vs 9.6 ± 9.6 P = .04

MA: 55 ± 14.7 vs 59.8 ± 4.8 P = .55

Ly30: 0.75 ± 0.8 vs 0.03 ± 0.05 P = .08

Hemolysis: none Febrile non‐hemolytic reactions: none

Anaphylaxis: none

Heschl S (2018)44

Trauma only:

Dead on scene: 13 (9.6%)

After arrival, in‐hospital: 36 (37.7%)

Changes during treatment: arrival at scene ‐ start transfusion ‐ arrival hospital:

HR: 116 (100‐130) to 119 (103‐132) to 112 (96‐130) P < .001

SBP: 90 (80‐110) to 80 (65‐91) to 94 (71‐110) P < .001

SI: 1.27 (1.00‐1.57) to 1.50 (1.20‐1.80) to 1.23 (0.98‐1.49) P = .004

n/dn/dn/dComplications: none
Higgins GL (2012)45 Prior to discharge: 31%

Pre‐ vs post‐transfusion:

SBP < 90 mmHg: 71% vs 29% X2 = 9.29 df = 1 P = .002

MAP: 62 mmHg vs 82 mmHg t = −11.090 df = 3 P = .002

n/dn/dn/dTransfusion reactions: none Complications: none
Hooper N (2017)46 Before arrival to hospital: 18%n/dn/dn/dn/dn/d
Krook C (2018)47 Overall prehospital: 33 (12%)n/dn/dn/dn/dadverse reactions: none
Krugh D (1994)48 5 (62.5%)n/dn/dn/dn/dn/d
Lyon R (2017)49

Dead on scene: 38 (26%)

After arrival to hospital:

6 h: 16% 28‐d: 30%

Mean (range) ± SD

pH: 7.15 (6.60‐7.42) ± 0.17

BE(mEq/L): −9.48 (−28.20‐0.40) ± 6.82

Lactate(mmol/L): 5.27 (0.90‐19.90) ±4.08

Changes during treatment: before transfusion vs at arrival to hospital:

SBP increased P < .001

DBP increased P < .001

MAP increased P < .001

HR: P = .96 (data not provided)

n/dICU: 6 (2‐17) Hospital: 18 (3‐32)n/dComplications: none Ionized calcium (mean): 1.1 mmol/L; Lower with increasing volume of PRBCs transfused P = .03
Maher P (2017)50

PHTRBC: 5 (38%) PHT‐plasma: 1 (33%) Scene transports: 2 (22%)

Interfacility transports: 4 (57%)

n/dn/dn/dn/dn/d
Mena‐Munoz J (2016)51

In‐hospital 30d:

Overall: 22.5% (CI 20.4%‐25.0%)

PHTRBC vs no‐PHTRBC: 201 (28%) vs 252 (27%) OR 0.77 (0.53‐1.13)

Transfused > 700 mL vs < 350 mL: 48 (47%) vs 161 (23%) OR = 2.11 (95% CI 1.21‐3.69)

Overall:

Lactate 2.4 (1.4‐4.8)

Odds of in‐hospital transfusion after PHTRBC:

OR = 2.00 (95% CI 1.46‐2.76)

Overall:

Hospital: 7 (3‐14)

ICU: 4 (1‐9)

Overall:

PTT: 32.1 (27.3‐38.6)

INR: 1.4 (1.2‐1.8)

n/d
Mix FM (2018)52 n/dn/dn/dn/dn/dn/d
Potter D (2015)53 Prior to discharge: 4 (25%)

Mean (range)

Arrival Lactate: 3.6 mg/dL (1.1‐7.1)

Arrival BE: −5.7 (−14.0 ‐ ‐4.0) Difference BE in‐transport vs arrival: unchanged in n = 3, improved in n = 2 (−8.0 to −6.0 after 3 U RBC and − 7.0 to −3.0 after 2 U RBC)

Mean 3.6 (range 0‐13)Hospital: mean 9.3 (range 1‐45)

Overall vs PHT‐plasma+RBC vs PHTRBC:

INR arrival (mean (range)): 1.4 (0.9‐2.7) vs 1.2 (0.9‐1.4) vs 1.5 (1.1‐2.7) (no analysis)

n/d
Raitt JE (2018)54 On scene: 9 (14%) In ED 8 (14%) In‐hospital 11 (19%) 15 (26.3%)n/d5 (range 1‐29)n/dn/dn/d
Sunde GA (2015)55

On scene: 2 (50%)

After arrival, prior to discharge: 0

n/dn/dn/dn/d

Transfusion reactions: none

Complications: none

Thiels CA (2016)56

Overall: 30d: 18.0%

Non‐trauma vs trauma:

1d: 5% vs 10% P = .002

30d: 16% vs 22% P = .03

Surgical vs Medical vs GI‐bleed:

1d: 6% vs 6% vs 2% P = .045

30d: 15% vs 21% vs 13% P = .12

Overall:

Hemodynamically unstable on admission: 124 (64%)

Non‐trauma vs trauma

Lactate (mean ± SD): 3.2 ± 3.4 vs 3.3 ± 2.7 P = .003

In‐hospital RBC (mean ± SD):

Non‐trauma vs trauma: 7.1 ± 8.7 vs 8.2 ± 10.8 P = .19

Surgical vs Medical vs G‐I bleed: 7.4 ± 8.3 vs 8.2 ± 11.6 vs 6.1 ± 6.9 P = .51

Hospital LOS (mean ± SD):

Non‐trauma vs Trauma: 9.4 ± 11.2 vs 12.2 ± 19.1 P = .009 Surgical vs Medical vs GI‐bleed: 12.1 ± 13.9 vs 9.5 ± 11.5 vs 6.3 ± 5.4 P < .001

Non‐trauma vs Trauma (mean ± SD): INR: 1.6 ± 0.8 vs 1.5 ± 1.0 P = .14

PTT: 34.4 ± 13.5 vs 33.2 ± 13.7 P = .06

TEG R‐time (min): 8.2 ± 6.6 vs 5.7 ± 3.1 P < .001

A‐angle: 60.8 ± 15.1 vs 65.1 ± 9.7 P = .03

MA (mm): 60.0 ± 14.5 vs 61.9 ± 9.6 P = .61

LYS30(%): 2.2 ± 8.5 vs 1.4 ± 2.9 P = .19

Minor allergic reaction after additional in‐hospital plasma: 1 (0.1%)

Volume overload: none TRALI: none

Hemolytic transfusion reaction: none

Wheeler R (2013)23 n/dn/dn/d

Hypothermic vs non‐hypothermic (mean ± SD):

ICU: 8.96 ± 8.72 vs 7.10 ± 8.51

Hospital: 18.20 ± 23.81 vs 8.67 ± 12.82

n/d

PHTRBC vs controls: hypothermia OR 6.27 (95% CI 2.47‐14.89) P < .05

PHTRBC in Oct‐Dec: OR 13.50 (85% CI 1.49‐165.25)

Case reports
Garner AA (1999)57 n = 1, survivedn/d56 (n = 1)ICU: 88 (n = 1)n/dn/d
Lawton LD (2012)58 n = 1, survived until ICU admissionn/dn/dn/dn/dn/d
Macnab AJ (1996)59 n = 1, survived until hospital admissionn/dn/dn/dn/dHemolysis of donor red cell units during transit: 2 incidents because of improper packaging or cooling
Description of protocol
Trembley AL (2016)60 n/dn/dn/dn/dn/dAdverse effects: none
Vartanian, L (2017)61 Before hospital arrival: 1 (8%)n/dn/dn/dn/dn/d
Military services
Prospective comparative studies
Vitalis V (2017)62 PHT vs control:
24 h: 2 (28.6%) vs 3 (14%) (no analysis performed)n/d

Total in‐hospital RBC:

1 (0.25‐5.5) vs 0 (0‐2) P = .05

n/dn/dComplications: none
Retrospective comparative studies
Howard, JT (2017)63 Needed & received PHT vs needed but no PHT:
KIA: AOR 0.17 (95% CI 0.06‐0.51, P = .002)n/dn/dn/dn/dn/d
O'Reilly DJ‐b (2014)64 PHT vs control, matched:
30d: 8 (8.2%) vs 19 (19.6%) P = .013

SBP: 132 (111‐145) vs 131 (114‐150) P = .145

HR: 92 (74‐115) vs 105 (82‐128) P = .041

In‐hospital RBC: 2 (1‐8.5) [0‐49] vs 0 (0‐3.5) [0‐26] P < .001

Total RBC: 4 (2‐10) [0‐53] vs 0 (0‐3.5) [0‐26] P < .001

n/dn/dn/d
Shackelford S (2017)65 PHT vs control, matched:

24 h: 3 (5%) vs 69 (20%) (between‐group difference − 15% (95% CI − 22% ‐ − 7%) P = .007 AHR 0.26 (95% CI 0.08‐0.84) P = .02

30d: 6 (11%) vs 78 (23%) (between‐group difference − 12% (95% CI − 21% ‐ − 2%) P = .05 AHR 0.39 (95% CI 0.16‐0.92) P = .03

30d mortality in 24 h survivors: 3 (6%) vs 9 (3%) AHR 0.84 (95% CI 0.18‐4.00) P = .83 Time to first transfusion and 24 h mortality: Time to transfusion < 15 min of MEDEVAC rescue (median 36 min after injury) vs delayed treatment: 2(3%) vs 68 (21%) AHR 0.17 (95% CI 0.04‐0.73) P = .02

After sensitivity analysis allowing for transfusion futility: 2 (3%) vs 47 (16%) AHR 0.23 (95% CI 0.06‐0.96) P = .04

Time to transfusion 16 to 20 min after MEDEVAC vs delayed treatment: 10 (33%) vs 46 (17%) AHR 0.94 (95% CI 0.41‐2.17) P = .89

pH: 7.28 (7.17‐7.38) vs 7.29 (7.24‐7.34) P = .65

BE: −7 (−11 ‐ −4) vs −6.2 (−7.9 ‐ −4.4) P = .37

Shock on arrival: 42 (76%) vs 206 (69%)

Adjusted for risk of prehospital death: AOR 1.01 (95% CI 0.86‐1.18) P = .94

24 h RBC/WB: 15 (8‐23) vs 11 (8.5‐13.5) P = .002 Hospital: 30 (21‐30) vs 30 (27‐33) P > .99 INR: 1.40 (1.2‐1.7) vs 1.26 (1.16‐1.36) P = .008 n/d
Prospective not‐comparative studies
Aye Maung N (2015)66 Overall: 0% (n = 2)Changes during treatment: radial pulse returned (n = 2)n/dn/dn/d

Adverse events: none

Out‐of‐standard blood product temperature: 7 incidents

Malsby RF (2013)67 24 h: 2 (33%, n = 6))

BE (n = 5): −7 (−7 ‐ ‐4)

Pre‐ vs post‐transfusion:

SBP 99 (80‐116) vs 120 (104‐134)

HR 132 (128‐138) vs 123 (112‐138)

10 (3.5‐14.5) (n = 7)n/dn/d

Adverse reactions: none

Out‐of‐standard blood product temperature: none

Retrospective not‐comparative studies
Barkana Y (1999)68 In‐hospital: 16%SBP on arrival: 110“Emergency phase RBC”: 5 (0‐4)n/dn/d

Adverse reaction:

1 (rash)

Chen J (2017)69

Overall: 10 (11%)

On arrival to hospital: 7 (8%)

24 h: 9 (10%)

In‐hospital: 3 (3%)

Scene vs hospital arrival: SBP: 119 (90‐130) vs 120 (80‐130) P = .49

DBP: 70 (60‐80) vs 70 (60‐80)P = .23

HR: 119 (100‐130) vs 108 (90‐120) P < .01

SI: 1 (0.78‐1.24) vs 0.94 (0.73‐1.5) P = .89

n/dn/dn/d

Adverse reactions: none

Immediate transfusion‐related complications: none

Technical problems: none

Edgar IA (2014)70 After arrival, in‐hospital: 4.5% (n/s for PHTRBC)

MERT vs PEDRO:

SBP: 130 (61‐170) vs 75 (46‐108) P = .0849

HR: 112 (80‐152) vs 89 (62‐150) P = .3629

pH: 7.26 (6.9‐7.5) vs 7.27 (7.22‐7.32) (no analysis)

Increased volumes of PHT and SBP closer to physiological normal at arrival to role 3 P = .0296 (data not provided)

MERT vs PEDRO:

RBC in ED: 5 (2‐14) vs 12 (6‐21) (no analysis)

Correlation between use of increased volumes of PHT and reduced total transfusion requirement P < .0194 (data not provided)

n/dn/dn/d
Morrison JJ (2013)71

AMR vs CMR:

overall: 9.1% vs 9.2% P = .536 (n/s for PHTRBC)

n/dn/dn/dn/dn/d
O'Reilly DJ‐a (2014)72 Overall: 62 (20%)n/d7 (1‐15) total RBC: 8 (3‐18)n/dn/d

Adverse effects: none

Complications: none

Powell‐Dunford N (2014)73 24 h: 8 (13%)

BE: −9 (−14 ‐ −6)

Pre‐ vs post‐transfusion:

SBP: 86 (70‐104) vs 108 (85‐127) P = .001

DBP: 52 (40‐66) vs 60 (47‐71)

HR: 133 (125‐141) vs 125 (110‐138) P = .000

SI: 1.6 (1.2‐2.0) vs 1.1 (1.0‐1.5) P < .01

MSI: 2.2 (1.7‐2.6) vs 1.7 (1.3‐2.1) P = .000

10 (8‐14)n/dINR: 1.2 (1.1‐1.4)Adverse reaction: none
Shlaifer A (2017)74

In‐hospital: 11 (12%)

(n/s for PHTRBC)

n/dn/d

ICU:

1‐3d: 19(35%) 4‐6d: 12(22%) 7‐13:13(24%) 14d+: 10(19%)

Hospital:

≤6d: 24(26%)

7‐13d: 24(26%) 14‐20d: 10(11%) 21d+: 34(37%)

(n/s for PHTRBC)

n/dAdverse event to FDP: 1 (chills and shivering)
Case reports
West BC (2004)75 n = 1, survived to facilitySBP improved from unobtainable to 100 (n = 1)n/dn/dn/dAdverse reactions: none

In bold values represents statistically significant results.

Note: Values presented as median (IQR) unless otherwise specified. Available P‐values have been presented. Boldface indicates significant outcomes.

Abbreviations: ACT, activated clotting time; (A)HR: (Adjusted) Hazard Ratio AMR: Advanced Medical Retrieval (A)OR: (Adjusted) Odds Ratio aPTT, activated partial thromboplastin time; ARDS, Acute Respiratory Distress Syndrome ARF, acute renal failure BE, Base excess Bic, bicarbonate; CC, clinically evident coagulopathic bleeding; CI, Confidence Interval CMR, Conventional Military Retrieval DBP, diastolic blood pressure DIB, difficulty in breathing DOW, Died of Wounds (died after arrival to facility) (F)WB, (Fresh) Whole Blood GI, gastro‐intestinal HR, Heart Rate ICU, intensive care unit IH, in‐hospital INR, International Normalized Ratio IQR, Interquartile Range KIA, Killed in action (died before arrival to facility) LOS, length of stay MAP, Mean arterial pressure MAST, medical antishock trousers MERT, Medical Emergency Response Team MSI, Modified shock index (heart rate/mean blood pressure); n/d, not described n/s, not specified n/sign, not significant PH, prehospital PHT, prehospital transfusion PHT‐plasma, prehospital transfusion of plasma; PHTRBC, Prehospital Transfusion of Red Blood Cells RBC, Red blood cells SBP, Systolic Blood Pressure SI, Shock Index TEG, Thromboelastography TIC, trauma induced coagulopathy TRALI, Transfusion related lung injury; U, units.

Values at arrival to hospital, unless otherwise specified.

A positive INR Change denotes an improvement in coagulopathy.

Outcomes 6 h: 10 (13.3%) vs 15 (8.3%) P = .210 24 h: 12 (16%) vs 19 (10.4%) P = .213 In‐hospital: 20(26.7%) vs 38(20.9%) P = .313 SBP: 90 (77‐113) vs 100 (80‐125) DBP: 59 (50‐69) vs 60 (48‐76) P = .299 HR: 111 (90‐133) vs 108 (85‐130) P = .425 pH: 7.21 (7.06‐7.32) vs 7.27 (7.18‐7.33) BE: −6 (−10 ‐ −3) vs −4 (−10 ‐ −1) P = .073 rTEG MA: 62 vs 64 G‐value: 8.1 vs 8.69 ACT: 121 vs 121 R‐time: 0.8 vs 0.8 K‐time: 1.65 vs 1.45 Angle: 70 vs 73 Ly30: 1 vs 1.4 Adjusting for PH‐RBC, PHT‐plasma associated with increased rTEG MA: 1 U increase in PH‐plasma was associated with (β coefficient) 13.95 mm (95%CI 3.13‐24.77 3 h: 4 (9.3%) vs 8 (12.1%) OR 0.74 (95% CI 0.24‐2.26) P = .60 24 h: 5 (11.6%) vs 10 (15.2%) OR 0.74 (95% CI 0.25‐2.17) P = .58 30d: 8 (18.6%) vs 14 (21.2%) OR 0.85 (95% CI 0.32‐2.28) P = .75 24 h: OR 0.02 (95% CI 0.01‐0.69) Scene patients: 24 h: OR = 0.04 (95% CI 0.01‐1.12) P = .059 30d: HR = 0.11 (95% CI 0.02‐0.54) Admission hypotension: 60% vs 74% BE −10 (−5 ‐ ‐12) vs −9 (−7 ‐ ‐12) P = .88 INR > 1.5 OR = 0.01 (95% CI 0.01‐0.95) P = .05 Scene only: OR = 0.08 (95% CI 0.01‐1.35) P = .079 24 h: 53 (22%) vs 86 (18%) P = .16 In‐hospital: 74 (31%) vs 115 (24%) In‐hospital survival: AOR 1.06 (95% CI 0.42‐2.61) P = .90 Matched scene patients: 24 h: 23 (32%) vs 37 (6%) P = .33 In‐hospital: 26 (37%) vs 48 (34%) P = .68 24 h survival: AOR 6.31 (95% CI 1.88‐21.14) In‐hospital survival: AOR 4.32 (95% CI 0.76‐24.72) P = .10 SBP 106 (80‐132) vs 110 (91‐130) P = .07 “Shock on admission”; 139 (58%) vs 226 (47%) Matched scene patients: SBP 82 (60‐92) vs 104 (81‐126) “Shock on admission”: 51 (72%) vs 99 (70%) P = .74 AOR 0.24 (95% CI 0.07‐0.80) 5 (2‐11) vs 4 (2‐9) P = .06 Matched scene patients: 8 (2‐18) vs 9 (3‐13) P = .66 >4 U lower requirement; Coefficient − 4.5 U (95% CI ‐8.3 to −0.7) INR: 1.4 (1.2‐1.9) vs 1.2 (1.1‐1.6) TIC: 113 (47%) vs 149 (31%) AOR: 1.39 (95% CI 0.87‐2.24) P = .17 Matched scene patients: INR 1.5 (1.2‐2.0) vs 1.3 (1.2‐1.6) TIC: 37 (52%) vs 51 (36%) P = .06 AOR 2.02 (95% CI 0.53‐7.71) P = .30 ARDS: 5 (2%) vs 14 (3%) P = .61 Matched scene patients: ARDS: 3 (4%) vs 1 (1%) P = .07 PH transfusion reactions: none IH transfusion reactions: 1 6 h 10 (10%) vs 19 (18%) P = .2 AOR 0.48 (95% CI 0.19‐1.19) P = .11 28d: 21 (26%) vs 31 (40%), P = .09 AOR 0.66 (95% CI 0.32‐1.35) P = .26 3 (1‐8) vs 4.5 (2‐9) (no analysis) ≥4 units RBC in 24 h: 41 (40%) vs 62 (60%) ≥10 units PRBC in 24 h: 14 (15%) vs 22 (22%) P = .31 6 h: 12% vs 10% P = .425 Adjusted: OR 0.23 (95%CI 0.106‐1.056) P = .088 24 h: 14% vs 13% P = .529 Adjusted: OR 0.57 P = .176 30‐d: 22% vs 21% P = .626 Adjusted: OR 0.80 P = .478 Adjusted, in critical patients: coefficient: 6 h: 0.23 (95% CI 0.062‐0.890) 24 h: OR 0.57 P = .117 30d: OR 0.71 P = .441 SBP: 115 (90‐135) vs 112 (90‐138) P = .944 HR on arrival: 96 (78‐116) vs 98 (80‐116) P = .649 BE: −3 (−6‐0) vs − 4 (−8 ‐ ‐1) pH: 7.30 (7.22‐7.35) vs 7.26 (7.19‐7.32) 6 h RBC: 0 (0‐4) vs 1 (0‐5) P = .370 Adjusted: Coefficient 6 h transfusion: −3.72 (95% CI − 6.783 ‐ − 0.659) 24 h transfusion: −3.64 − (95% CI 7.100 to −0.192) ACT: 113 (105‐128) vs 121 (105‐128) P = .546 α‐angle: 73 (69‐76) vs 72 (68‐76) P = .362 mA(mm): 64 (59‐68) vs 64 (59‐67) P = .270 LY30(%): 1.1 (0.2‐2.7) vs 1.3 (0.3‐2.9) P = .568 6 h: 11% vs 4% P = .422 24 h: 44% vs 10% Overall: 56% vs 18% SBP: 89 vs 109 P = .057 HR: 100 vs 109 P = .324 Lactate: 5.2 vs 4.4 P = .472 BE: −8.3 vs −8.4 P = .940 pH: 7.19 vs 7.22 P = .634 ICU: 6.3 vs 7.7 P = .672 Hospital: 11 vs 17 P = .352 INR baseline: 2.6 vs 1.5 INR Arrival: 1.6 vs 1.3 Change in INRb: 0.9 vs 0.2 P = .078 Arrival aPTT: 51 vs 35 ARDS: 11% vs 8% P = .758 ARF: 0% vs 4% P = .600 24 h: 39 (20%) vs 31 (16%) P = .291 In‐hospital: 59 (30%) vs 48 (25%) P = .212 Adjusted: 24 h: OR 1.04 (95% CI 0.54‐1.98) P = .91 In‐hospital: OR 1.05 (95% CI 0.56‐1.96) P = .88 SBP: 92.0 (77.2‐112.5) vs 110 (88.0‐124.0) HR: 103 (84‐123) vs 106 (88‐122) P = .363 Pre vs post transport (mean SD): PHT: HCO3 (mmol/L): 23.20 ± 5.14 vs 22.41 ± 4.35 P = .27. Hemodynamic instability 55 (49%) vs 20 (18%) P < .001 Control: HCO3 (mmol/L) 23.67 ± 6.89 vs 21.90 ± 4.15 P = .29 Hemodynamic instability (%) 47 vs 18 P = .005 PHT vs control: Any RBC in‐hospital: 96 (86%) vs 40 (82%) P = .6 In‐hospital RBC: 4.0 (2.0‐6.0) vs 3.0 (2.0‐6.0) P = .84 Pre vs post transport (mean ± SD): PHT: INR 2.01 ± 1.51 vs 1.56 ± 0.83 P = .01 Control: INR 1.94 ± 0.97 vs 1.62 ± 1.37 P = .32 24 h: 19 (30%) vs 16 (32%) P = .531 30d: 22 (45%) vs 20 (40%) P = .547 BE: − 9.9 (−25.0 to −0.7) vs − 6.6 (−23.2 to −0.6) P = .628 Lactate (mmol/l): 3.6 (0.8‐21) vs 3.2 (1.1‐14.2) P = .142 “Shock on admission”: 26 (70%) vs 26 (58%) P = .243 1443 mL (range: 0‐19 315 mL) vs 2240 mL (range: 0‐15 120 mL) 24 h RBC including PH volume: 1958 mL (range: 270‐20 580) vs 2240 mL (range: 0‐15 120) P = .888 INR: 1.3 (range 1‐10) vs 1.3 (range 1‐3.1) P = .529 TIC: 14(40%) vs 10(26%) P = .188 PH transfusion reactions: none IH transfusion reactions: 1 HR: 113/min (SD 23) vs 98/min (SD 43) SBP: n/sign DBP: 69 mmHg (SD 19) vs 49 mmHg (SD 30) Total RBC (pre‐hospital + in‐hospital): 4 (2‐6) vs 6 (4‐12) Univariate − 0.624 (95% CI −0.717 to −0.531) Multivariate – 0.671 (95% CI –0.767 to −0.574) Overall: 143 (60%) vs 187 (62%) Univariate: OR 0.90 (95% CI 0.64‐1.28) P = .554 Multivariate: OR 0.92 (95% CI 0.64‐1.32) P = .648 Prehospital: 66 (28%) vs 126 (42%) Univariate: OR 0.53 (0.36‐0.76) Change in mean BP: 5.5 vs 15.6 P = .227 Change in mean HR: 7.6 vs −3.0 P = .159 pH (mean): 7.23 vs 7.37 Bic (mean): 14.6 vs 21.4 n/d for PHTRBC CC+ patients had increased mortality at all time points (all P < 0 .001) CC+ vs CC‐: Received PHTRBC (n(%)): 18 (44%) vs 82 (8%) P < .001Transfused prehospital plasma: 18 (44%) vs 104 (11%) P < .001 pH (mean): 7.07 BE (mean): −12.0 Trauma only: Dead on scene: 7 (9.9%) After arrival, in‐hospital: 25 (39%) Volume of blood and change in SBP: MAST vs non‐MAST: SBP rise (mean): 38 mmHg vs 40 mmHg P = .29 30d: 2 (12%) vs 2 (17%) P = .39 Overall in‐hospital mortality: 14% Hospital LOS (mean): 13.4 vs 8.9 P = .12 (mean (SD) INR 1.25 ± 0.4 vs 1.3 ± 0.3 P = .69 PTT: 29.9 ± 4.5 vs 31.5 ± 9.6 P = .58 TEG: K 2.8 ± 2.8 vs 2.9 ± 1.1 P = .94 Angle: 61 ± 15.3 vs 54.5 ± 9.2 P = .43 R: 4.9 ± 1.7 vs 9.6 ± 9.6 P = .04 MA: 55 ± 14.7 vs 59.8 ± 4.8 P = .55 Ly30: 0.75 ± 0.8 vs 0.03 ± 0.05 P = .08 Hemolysis: none Febrile non‐hemolytic reactions: none Anaphylaxis: none Trauma only: Dead on scene: 13 (9.6%) After arrival, in‐hospital: 36 (37.7%) Changes during treatment: arrival at scene ‐ start transfusion ‐ arrival hospital: HR: 116 (100‐130) to 119 (103‐132) to 112 (96‐130) SBP: 90 (80‐110) to 80 (65‐91) to 94 (71‐110) SI: 1.27 (1.00‐1.57) to 1.50 (1.20‐1.80) to 1.23 (0.98‐1.49) Pre‐ vs post‐transfusion: SBP < 90 mmHg: 71% vs 29% X2 = 9.29 df = 1 P = .002 MAP: 62 mmHg vs 82 mmHg t = −11.090 df = 3 P = .002 Dead on scene: 38 (26%) After arrival to hospital: 6 h: 16% 28‐d: 30% Mean (range) ± SD pH: 7.15 (6.60‐7.42) ± 0.17 BE(mEq/L): −9.48 (−28.20‐0.40) ± 6.82 Lactate(mmol/L): 5.27 (0.90‐19.90) ±4.08 Changes during treatment: before transfusion vs at arrival to hospital: SBP increased DBP increased MAP increased HR: P = .96 (data not provided) PHTRBC: 5 (38%) PHT‐plasma: 1 (33%) Scene transports: 2 (22%) Interfacility transports: 4 (57%) In‐hospital 30d: Overall: 22.5% (CI 20.4%‐25.0%) PHTRBC vs no‐PHTRBC: 201 (28%) vs 252 (27%) OR 0.77 (0.53‐1.13) Transfused > 700 mL vs < 350 mL: 48 (47%) vs 161 (23%) OR = 2.11 (95% CI 1.21‐3.69) Overall: Lactate 2.4 (1.4‐4.8) Odds of in‐hospital transfusion after PHTRBC: OR = 2.00 (95% CI 1.46‐2.76) Overall: Hospital: 7 (3‐14) ICU: 4 (1‐9) Overall: PTT: 32.1 (27.3‐38.6) INR: 1.4 (1.2‐1.8) Mean (range) Arrival Lactate: 3.6 mg/dL (1.1‐7.1) Arrival BE: −5.7 (−14.0 ‐ ‐4.0) Difference BE in‐transport vs arrival: unchanged in n = 3, improved in n = 2 (−8.0 to −6.0 after 3 U RBC and − 7.0 to −3.0 after 2 U RBC) Overall vs PHT‐plasma+RBC vs PHTRBC: INR arrival (mean (range)): 1.4 (0.9‐2.7) vs 1.2 (0.9‐1.4) vs 1.5 (1.1‐2.7) (no analysis) On scene: 2 (50%) After arrival, prior to discharge: 0 Transfusion reactions: none Complications: none Overall: 30d: 18.0% Non‐trauma vs trauma: 1d: 5% vs 10% 30d: 16% vs 22% Surgical vs Medical vs GI‐bleed: 1d: 6% vs 6% vs 2% 30d: 15% vs 21% vs 13% P = .12 Overall: Hemodynamically unstable on admission: 124 (64%) Non‐trauma vs trauma Lactate (mean ± SD): 3.2 ± 3.4 vs 3.3 ± 2.7 In‐hospital RBC (mean ± SD): Non‐trauma vs trauma: 7.1 ± 8.7 vs 8.2 ± 10.8 P = .19 Surgical vs Medical vs G‐I bleed: 7.4 ± 8.3 vs 8.2 ± 11.6 vs 6.1 ± 6.9 P = .51 Hospital LOS (mean ± SD): Non‐trauma vs Trauma: 9.4 ± 11.2 vs 12.2 ± 19.1 Surgical vs Medical vs GI‐bleed: 12.1 ± 13.9 vs 9.5 ± 11.5 vs 6.3 ± 5.4 Non‐trauma vs Trauma (mean ± SD): INR: 1.6 ± 0.8 vs 1.5 ± 1.0 P = .14 PTT: 34.4 ± 13.5 vs 33.2 ± 13.7 TEG R‐time (min): 8.2 ± 6.6 vs 5.7 ± 3.1 A‐angle: 60.8 ± 15.1 vs 65.1 ± 9.7 MA (mm): 60.0 ± 14.5 vs 61.9 ± 9.6 P = .61 LYS30(%): 2.2 ± 8.5 vs 1.4 ± 2.9 P = .19 Minor allergic reaction after additional in‐hospital plasma: 1 (0.1%) Volume overload: none TRALI: none Hemolytic transfusion reaction: none Hypothermic vs non‐hypothermic (mean ± SD): ICU: 8.96 ± 8.72 vs 7.10 ± 8.51 Hospital: 18.20 ± 23.81 vs 8.67 ± 12.82 PHTRBC vs controls: hypothermia OR 6.27 (95% CI 2.47‐14.89) PHTRBC in Oct‐Dec: OR 13.50 (85% CI 1.49‐165.25) Total in‐hospital RBC: 1 (0.25‐5.5) vs 0 (0‐2) P = .05 SBP: 132 (111‐145) vs 131 (114‐150) P = .145 HR: 92 (74‐115) vs 105 (82‐128) In‐hospital RBC: 2 (1‐8.5) [0‐49] vs 0 (0‐3.5) [0‐26] Total RBC: 4 (2‐10) [0‐53] vs 0 (0‐3.5) [0‐26] 24 h: 3 (5%) vs 69 (20%) (between‐group difference − 15% (95% CI − 22% ‐ − 7%) 30d: 6 (11%) vs 78 (23%) (between‐group difference − 12% (95% CI − 21% ‐ − 2%) 30d mortality in 24 h survivors: 3 (6%) vs 9 (3%) AHR 0.84 (95% CI 0.18‐4.00) P = .83 Time to first transfusion and 24 h mortality: Time to transfusion < 15 min of MEDEVAC rescue (median 36 min after injury) vs delayed treatment: 2(3%) vs 68 (21%) AHR 0.17 (95% CI 0.04‐0.73) After sensitivity analysis allowing for transfusion futility: 2 (3%) vs 47 (16%) AHR 0.23 (95% CI 0.06‐0.96) Time to transfusion 16 to 20 min after MEDEVAC vs delayed treatment: 10 (33%) vs 46 (17%) AHR 0.94 (95% CI 0.41‐2.17) P = .89 pH: 7.28 (7.17‐7.38) vs 7.29 (7.24‐7.34) P = .65 BE: −7 (−11 ‐ −4) vs −6.2 (−7.9 ‐ −4.4) P = .37 Shock on arrival: 42 (76%) vs 206 (69%) Adjusted for risk of prehospital death: AOR 1.01 (95% CI 0.86‐1.18) P = .94 Adverse events: none Out‐of‐standard blood product temperature: 7 incidents BE (n = 5): −7 (−7 ‐ ‐4) Pre‐ vs post‐transfusion: SBP 99 (80‐116) vs 120 (104‐134) HR 132 (128‐138) vs 123 (112‐138) Adverse reactions: none Out‐of‐standard blood product temperature: none Adverse reaction: 1 (rash) Overall: 10 (11%) On arrival to hospital: 7 (8%) 24 h: 9 (10%) In‐hospital: 3 (3%) Scene vs hospital arrival: SBP: 119 (90‐130) vs 120 (80‐130) P = .49 DBP: 70 (60‐80) vs 70 (60‐80)P = .23 HR: 119 (100‐130) vs 108 (90‐120) SI: 1 (0.78‐1.24) vs 0.94 (0.73‐1.5) P = .89 Adverse reactions: none Immediate transfusion‐related complications: none Technical problems: none MERT vs PEDRO: SBP: 130 (61‐170) vs 75 (46‐108) P = .0849 HR: 112 (80‐152) vs 89 (62‐150) P = .3629 pH: 7.26 (6.9‐7.5) vs 7.27 (7.22‐7.32) (no analysis) Increased volumes of PHT and SBP closer to physiological normal at arrival to role 3 MERT vs PEDRO: RBC in ED: 5 (2‐14) vs 12 (6‐21) (no analysis) Correlation between use of increased volumes of PHT and reduced total transfusion requirement ) AMR vs CMR: overall: 9.1% vs 9.2% P = .536 (n/s for PHTRBC) Adverse effects: none Complications: none BE: −9 (−14 ‐ −6) Pre‐ vs post‐transfusion: SBP: 86 (70‐104) vs 108 (85‐127) P = .001 DBP: 52 (40‐66) vs 60 (47‐71) HR: 133 (125‐141) vs 125 (110‐138) P = .000 SI: 1.6 (1.2‐2.0) vs 1.1 (1.0‐1.5) P < .01 MSI: 2.2 (1.7‐2.6) vs 1.7 (1.3‐2.1) P = .000 In‐hospital: 11 (12%) (n/s for PHTRBC) ICU: 1‐3d: 19(35%) 4‐6d: 12(22%) 7‐13:13(24%) 14d+: 10(19%) Hospital: ≤6d: 24(26%) 7‐13d: 24(26%) 14‐20d: 10(11%) 21d+: 34(37%) (n/s for PHTRBC) In bold values represents statistically significant results. Note: Values presented as median (IQR) unless otherwise specified. Available P‐values have been presented. Boldface indicates significant outcomes. Abbreviations: ACT, activated clotting time; (A)HR: (Adjusted) Hazard Ratio AMR: Advanced Medical Retrieval (A)OR: (Adjusted) Odds Ratio aPTT, activated partial thromboplastin time; ARDS, Acute Respiratory Distress Syndrome ARF, acute renal failure BE, Base excess Bic, bicarbonate; CC, clinically evident coagulopathic bleeding; CI, Confidence Interval CMR, Conventional Military Retrieval DBP, diastolic blood pressure DIB, difficulty in breathing DOW, Died of Wounds (died after arrival to facility) (F)WB, (Fresh) Whole Blood GI, gastro‐intestinal HR, Heart Rate ICU, intensive care unit IH, in‐hospital INR, International Normalized Ratio IQR, Interquartile Range KIA, Killed in action (died before arrival to facility) LOS, length of stay MAP, Mean arterial pressure MAST, medical antishock trousers MERT, Medical Emergency Response Team MSI, Modified shock index (heart rate/mean blood pressure); n/d, not described n/s, not specified n/sign, not significant PH, prehospital PHT, prehospital transfusion PHT‐plasma, prehospital transfusion of plasma; PHTRBC, Prehospital Transfusion of Red Blood Cells RBC, Red blood cells SBP, Systolic Blood Pressure SI, Shock Index TEG, Thromboelastography TIC, trauma induced coagulopathy TRALI, Transfusion related lung injury; U, units. Values at arrival to hospital, unless otherwise specified. A positive INR Change denotes an improvement in coagulopathy.

Military

In military services, almost all studies included patients who possibly received other prehospital blood products besides RBC. Two retrospective studies compared trauma PHT recipients to non‐receivers, and found significantly lower mortality in PHT patients (either overall, 24 hours or 30‐day mortality) (Table 5).65, 72 One of these studies subsequently focused on those patients who survived the first 24 hours; the beneficial effect on 30‐day mortality was no longer present.65 This concurs with a large retrospective study (with a partially overlapping study population), where the odds for “killed in action” (KIA) mortality (death before arrival at treatment facility) was 83% lower for casualties who needed and received prehospital transfusion, compared with patients who needed but did not receive a prehospital transfusion.63

Outcome—Shock after transfusion

Six observational studies compared vital parameters or POCT results before and after transfusion.32, 42, 44, 45, 49, 53 Five of these noted significant beneficial effects of PHTRBC (decrease in heart rate [HR] and shock index [SI],44 rise in systolic,44, 49 diastolic49 or mean arterial blood pressures,45, 49 less hypotensive episodes (ie, SBP < 90 mmHg)45 or less “haemodynamic instability”32) (Table 5). Studies comparing vital parameters in PHTRBC patients vs non‐receivers report conflicting results: significantly lower occurrence of hypotension,28 a higher DBP,34 and a higher BE and pH18 have been reported in PHTRBC patients, but in contrast, significantly lower SBP,26, 29, 31 a higher HR,34 a lower pH26, 37 and a lower bicarbonate level37 have also been found. Other studies found no significant differences in either SBP,18, 34 DBP,26 HR,18, 26, 31 BE,26, 28, 33 lactate,33 change in mean BP or in HR37 or occurrence of “shock on admission.”33 Kim et al22 compared PHTRBC with PHTRBC + PHT‐plasma and found no significant differences in SBP, HR, lactate, BE or pH. Brown et al29 measured base deficit and lactate levels on arrival to hospital, and used these to calculate the odds of shock. They found that in PHTRBC patients, these odds were significantly lower than in matched control patients (Table 5). In military EMS, three observational studies analysed the change in vital parameters after transfusion, all showing improvements (significant rise in SBP and improvement in SI73; a fall in HR69, 73; or a SBP closer to physiologically normal values as the prehospital transfused volume increased70). Only one study comparing PHTRBC patients to controls found a significant difference reporting a lower HR.72 No significant differences were found for SBP, pH, BE, or “shock on arrival”65, 72 (Table 5).

Outcome—24‐hour RBC Requirement

In the first 24 hours after admission to hospital, civilian patients received a median of 0 to 14 U of RBC,22, 26, 28, 29, 30, 31, 33, 36, 39, 41, 54 and paediatric patients received a mean of 3.6 U.53 Five analyses found the RBC requirement in‐hospital or in the first 24 hours to be significantly higher for PHTRBC patients,26, 28, 31, 34, 43 whereas five others found it to be significantly lower.18, 29, 30, 33, 35 One of these studies noted that taking the prehospital transfused volume into account, the cumulative 24 hours RBC requirement was not significantly different.33 Two other studies found no significant difference in in‐hospital or 24 hours RBC requirement in either PHT vs control or in PHTRBC vs PHTRBC+PHT plasma22, 32 (Table 5). Median RBC requirement in the first 24 hours after arrival to hospital was 5 to 10 units,67, 68, 73 one study reporting a median of 15 units of RBC/fresh whole blood in 24 hours.65 One study focusing on double amputees showed that an increased volume of prehospital transfused blood was significantly associated with a decreased transfusion requirement in the emergency department.70 However, three comparative studies observed (an almost) significantly higher 24 hours or in‐hospital transfusion requirement in PHTRBC patients.62, 65, 72

Outcome—Signs of trauma‐induced coagulopathy (TIC) on arrival to hospital

Three civilian studies compared the international normalised ratio (INR) of patients who received PHTRBC vs patients who did not. One study reported that PHTRBC patients had significantly lower odds of TIC 28 on arrival to hospital, while two other studies did not find an association between PHTRBC and INR.29, 33 One study reported that coagulopathic patients had received significantly more units of PHTRBC than non‐coagulopathic patients.24 All the other studies reporting on coagulation state are biased by the use of prehospital plasma besides the PHTRBC18, 22, 25, 26, 32, 43, 56, 65 (Table 5).

Outcome—Length of stay in ICU/in hospital

Three civilian studies compared length of stay (LOS) in ICU and LOS in hospitals for PHTRBC patients and their matched controls. No significant differences were found.22, 32, 34 Only one military study describes LOS, finding a median hospital LOS of 30 days for both PHTRBC patients and controls.65

Outcome—Safety/adverse events

Most studies on civilian EMS (11) reported no transfusion reactions occurring.30, 35, 38, 40, 43, 44, 45, 47, 49, 55, 60 A lung injury associated with a transfusion was reported,32 and there was one possible adverse reaction in a trauma patient who developed shortness of breath, which was interpreted as secondary to volume overload.42 A case report has described two “near miss” incidents where haemolysis of donor cells occurred during transport, when the units had not been packed correctly.59 Patients transfused before arrival to hospital were more likely to be hypothermic23 and have lower calcium levels,49 but there was no significant difference in the occurrence of acute respiratory distress syndrome (ARDS) in PHTRBC, non‐PHTRBC and PHTRBC+PHT‐plasma patients.22, 29 As in civilian services, seven military studies have reported no adverse reactions to PHTRBC.62, 64, 66, 67, 69, 74, 75 One possible transfusion reaction is described, in which a patient developed a fine rash on their trunk after one unit of RBC.68 Seven incidents were reported where the blood products were found to have an out‐of‐standard temperature.66

DISCUSSION

This systematic review summarises the literature regarding the effects of PHTRBC on several outcome measures. Overall, evidence of an effect of PHTRBC on outcomes is of limited quality. Notably, no controlled studies were identified, and all studies were observational. Therefore, all reported treatment effects must be interpreted with care. Confounding is likely—and residual confounding cannot be excluded in those studies that attempted to control for confounding—such that causal inferences on the effect of PHTRBC on outcomes are essentially not possible.77 Nonetheless, in the absence of controlled trials, these studies represent the best available evidence and may at least provide some insight about possible associations between PHTRBC and outcomes. The high heterogeneity of the studies was a second factor, which impedes the interpretation of the reported data. As we had expected, patients transported by civilian and military services differed considerably with respect to injury type, injury severity and mortality rates. However, also within these groups, heterogeneity in injury type, injury severity, type of transport, transfusion criteria and type of intervention prevented meaningful meta‐analysis. Differences between study outcomes might at least in part be explained by these factors.

Mortality

Results on overall mortality are conflicting, and we found no consistent evidence for any effects of PHTRBC on survival. Recently, Rijnhout et al78 published a meta‐analysis on the effects of prehospital transfusion on mortality. In line with our results, these authors did not observe an effect of PHTRBC (without simultaneous transfusion of plasma) on mortality. For the 24 hours mortality, an odds ratio of 0.92 was reported, with a broad 95% confidence interval (0.46‐1.85) that does not exclude clinically important effects of PHTRBC in either direction, which indicates an inconclusive result.79 Importantly, heterogeneity was high (I2 80%), similar to the heterogeneity that we observed in explorative analyses. While quantitative heterogeneity was lower for long‐term survival, qualitative heterogeneity, along with limited quality and a substantial potential for residual confounding in the observational studies, prompted us to question whether it was appropriate to report a pooled effect estimate. Nonetheless, despite these limitations, the data by Rijnhout et al can be considered hypothesis generating and do suggest that the combination of PHTRBC and plasma may potentially be beneficial for long‐term survival, warranting further investigation. Similarly, a recent systematic review by Shand et al reported high heterogeneity and the authors could not draw conclusions about the effect of prehospital transfusion of any blood component on outcome.80 Previous systematic reviews have summarised the evidence up to 201581 and 2016,82 however, numerous studies have been published thereafter such that a more up to date systematic review is warranted.

Haemodynamics, coagulopathy, 24‐hours RBC requirement and LOH/ICU stay

Observational studies in both civilian and military services found that after PHTRBC, SBP recovers, HR decreases and SI improves. However, these improvements could be due to the administration of analgesia or fluids in general or merely be time‐dependent effects. Outcomes of comparative studies in both military and civilian services reporting on haemodynamics, coagulopathy or 24‐hour RBC requirement are conflicting and could not confirm an effect of PHTRBC on any of these variables. A large majority of patients in both civilian and military observational studies required transfusion after arrival to hospital, which may be seen as confirmation of the appropriateness of prehospital transfusions. Some studies reported a higher 24 hours RBC requirement in PHTRBC patients, while others reported this to be lower. A higher 24 hours RBC requirement may suggest that the patients who were bleeding most severely had been identified correctly in the prehospital setting as requiring PHTRBC. These patients, in turn, also have a higher demand for blood products when at the hospital. An explanation of a lower 24 hours RBC requirement in PHTRBC patients could be that these patients bled less through prevention of coagulopathy and thus required less transfusion. However, there is thus far no evidence that PHTRBC generally reduces the occurrence of TIC. In some cases, the PHTRBC patients may merely have received the blood they needed earlier, resulting in a lower 24 hours in‐hospital RBC requirement. There is currently no evidence that PHTRBC has influence on LOS in hospital and LOS in ICU.

Adverse events

There have been few instances of transfusion reactions being reported after PHTRBC. Fortunately, transfusion reactions in the general population are rare, with urticaria occurring in 1% to 3% of patients, febrile non‐haemolytic transfusion reaction and cardiac overload in <1%, and all other transfusion reactions in <0.1%.83

Strength and limitations

We performed a thorough search with broad inclusion criteria. The eligibility of studies was assessed independently by two authors. It is therefore unlikely that we have overlooked data that would significantly alter our conclusions. Additionally, despite a different patient population, mechanism of injury and medical facilities, we did not exclude military services but decided to report on them separately, thereby including an important source of data on PHTRBC. No controlled trials were identified, most observational studies were retrospective, and high heterogeneity also precluded meaningful data pooling. While this at first glance seems a limitation of this systematic review, it is rather a limitation of previous research and in fact an important outcome of this study; this finding highlights the lack of high‐quality outcome studies, and suggests that randomised trials are needed for more conclusive evidence on the causal relationship between PHTRBC and patient outcomes.

CONCLUSION

This systematic review revealed that despite increasing use of PHTRBC by civilian EMS, high‐quality evidence for beneficial effects is still lacking. In the absence of high‐quality data, it seems reasonable to assume that massively bleeding patients may benefit from PHTRBC. This assumption is supported by several observational studies that do suggest possible beneficial effects on mortality. This may especially be true when PHTRBC is combined with plasma administration. PHTRBC also appears to improve haemodynamic parameters, but there is no evidence that shock on arrival to hospital is averted, nor of an association with TIC or LOS in either hospitals or ICUs. Few adverse events have been reported. Given that prevention is generally better than treatment, prevention of haemorrhagic shock through compression of external bleeding, stabilisation of pelvic fractures, prevention of hypothermia and the administration of tranexamic acid should still remain a priority in trauma patients, even when PHTRBC is available.

CONFLICT OF INTEREST

The authors declare no conflicts of interest.
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1.  Potentially fatal hemolysis of cross-matched blood during interfacility transport: standards of practice for safe transport of stored blood products.

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2.  Damage control resuscitation: directly addressing the early coagulopathy of trauma.

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3.  Freeze dried plasma and fresh red blood cells for civilian prehospital hemorrhagic shock resuscitation.

Authors:  Geir A Sunde; Bjarne Vikenes; Geir Strandenes; Kjell-Christian Flo; Tor A Hervig; Einar K Kristoffersen; Jon-Kenneth Heltne
Journal:  J Trauma Acute Care Surg       Date:  2015-06       Impact factor: 3.313

4.  Pretrauma center red blood cell transfusion is associated with reduced mortality and coagulopathy in severely injured patients with blunt trauma.

Authors:  Joshua B Brown; Mitchell J Cohen; Joseph P Minei; Ronald V Maier; Michaela A West; Timothy R Billiar; Andrew B Peitzman; Ernest E Moore; Joseph Cuschieri; Jason L Sperry
Journal:  Ann Surg       Date:  2015-05       Impact factor: 12.969

5.  Abnormalities of laboratory coagulation tests versus clinically evident coagulopathic bleeding: results from the prehospital resuscitation on helicopters study (PROHS).

Authors:  Ronald Chang; Erin E Fox; Thomas J Greene; Michael D Swartz; Stacia M DeSantis; Deborah M Stein; Eileen M Bulger; Sherry M Melton; Michael D Goodman; Martin A Schreiber; Martin D Zielinski; Terence O'Keeffe; Kenji Inaba; Jeffrey S Tomasek; Jeanette M Podbielski; Savitri Appana; Misung Yi; Pär I Johansson; Hanne H Henriksen; Jakob Stensballe; Jacob Steinmetz; Charles E Wade; John B Holcomb
Journal:  Surgery       Date:  2017-12-27       Impact factor: 3.982

6.  Prehospital administration of freeze-dried plasma, is it the solution for trauma casualties?

Authors:  Amir Shlaifer; Maya Siman-Tov; Irina Radomislensky; Kobi Peleg; Avi Shina; Erez Nachum Baruch; Elon Glassberg; Avraham Yitzhak
Journal:  J Trauma Acute Care Surg       Date:  2017-10       Impact factor: 3.313

7.  Role of red blood cells in haemostasis and thrombosis.

Authors:  Rustem I Litvinov; John W Weisel
Journal:  ISBT Sci Ser       Date:  2016-12-14

Review 8.  The epidemiology and modern management of traumatic hemorrhage: US and international perspectives.

Authors:  David S Kauvar; Charles E Wade
Journal:  Crit Care       Date:  2005-10-07       Impact factor: 9.097

Review 9.  Pre-hospital transfusion of red blood cells. Part 2: A systematic review of treatment effects on outcomes.

Authors:  Elisabeth C van Turenhout; Sebastiaan M Bossers; Stephan A Loer; Georgios F Giannakopoulos; Lothar A Schwarte; Patrick Schober
Journal:  Transfus Med       Date:  2020-01-05       Impact factor: 2.019

10.  Mortality of civilian patients with suspected traumatic haemorrhage receiving pre-hospital transfusion of packed red blood cells compared to pre-hospital crystalloid.

Authors:  J E Griggs; J Jeyanathan; M Joy; M Q Russell; N Durge; D Bootland; S Dunn; E D Sausmarez; G Wareham; A Weaver; R M Lyon
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-11-20       Impact factor: 2.953

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  4 in total

1.  Initial experiences of prehospital blood product transfusions between 2016 and 2020 in Päijät-Häme hospital district, Finland.

Authors:  Heidi Yliharju; Timo Jama; Hilla Nordquist
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2022-06-06       Impact factor: 3.803

2.  Recovery of organ-specific tissue oxygen delivery at restrictive transfusion thresholds after fluid treatment in ovine haemorrhagic shock.

Authors:  Wayne B Dyer; Gabriela Simonova; Sara Chiaretti; Mahe Bouquet; Rebecca Wellburn; Silver Heinsar; Carmen Ainola; Karin Wildi; Kei Sato; Samantha Livingstone; Jacky Y Suen; David O Irving; John-Paul Tung; Gianluigi Li Bassi; John F Fraser
Journal:  Intensive Care Med Exp       Date:  2022-04-04

Review 3.  Pre-hospital transfusion of red blood cells. Part 2: A systematic review of treatment effects on outcomes.

Authors:  Elisabeth C van Turenhout; Sebastiaan M Bossers; Stephan A Loer; Georgios F Giannakopoulos; Lothar A Schwarte; Patrick Schober
Journal:  Transfus Med       Date:  2020-01-05       Impact factor: 2.019

4.  Resuscitation with blood products in patients with trauma-related haemorrhagic shock receiving prehospital care (RePHILL): a multicentre, open-label, randomised, controlled, phase 3 trial.

Authors:  Nicholas Crombie; Heidi A Doughty; Jonathan R B Bishop; Amisha Desai; Emily F Dixon; James M Hancox; Mike J Herbert; Caroline Leech; Simon J Lewis; Mark R Nash; David N Naumann; Gemma Slinn; Hazel Smith; Iain M Smith; Rebekah K Wale; Alastair Wilson; Natalie Ives; Gavin D Perkins
Journal:  Lancet Haematol       Date:  2022-03-07       Impact factor: 18.959

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