Skip to main content
Download PDF

FIBTEM provides early prediction of massive transfusion in trauma

Critical Care volume 15, Article number: R265 (2011) Cite this article

Abstract

Introduction

Prediction of massive transfusion (MT) among trauma patients is difficult in the early phase of trauma management. Whole-blood thromboelastometry (ROTEM®) tests provide immediate information about the coagulation status of acute bleeding trauma patients. We investigated their value for early prediction of MT.

Methods

This retrospective study included patients admitted to the AUVA Trauma Centre, Salzburg, Austria, with an injury severity score ≥16, from whom blood samples were taken immediately upon admission to the emergency room (ER). ROTEM® analyses (extrinsically-activated test with tissue factor (EXTEM), intrinsically-activated test using ellagic acid (INTEM) and fibrin-based extrinsically activated test with tissue factor and the platelet inhibitor cytochalasin D (FIBTEM) tests) were performed. We divided patients into two groups: massive transfusion (MT, those who received ≥10 units red blood cell concentrate within 24 hours of admission) and non-MT (those who received 0 to 9 units).

Results

Of 323 patients included in this study (78.9% male; median age 44 years), 78 were included in the MT group and 245 in the non-MT group. The median injury severity score upon admission to the ER was significantly higher in the MT group than in the non-MT group (42 vs 27, P < 0.0001). EXTEM and INTEM clotting time and clot formation time were significantly prolonged and maximum clot firmness (MCF) was significantly lower in the MT group versus the non-MT group (P < 0.0001 for all comparisons). Of patients admitted with FIBTEM MCF 0 to 3 mm, 85% received MT. The best predictive values for MT were provided by hemoglobin and Quick value (area under receiver operating curve: 0.87 for both parameters). Similarly high predictive values were observed for FIBTEM MCF (0.84) and FIBTEM A10 (clot amplitude at 10 minutes; 0.83).

Conclusions

FIBTEM A10 and FIBTEM MCF provided similar predictive values for massive transfusion in trauma patients to the most predictive laboratory parameters. Prospective studies are needed to confirm these findings.

Introduction

Trauma-induced coagulopathy (TIC) affects 25 to 34% of all trauma patients upon emergency room (ER) admission and can be observed even before fluid resuscitation [1–3]. TIC increases the risk of massive transfusion (MT) which is associated with mortality rates up to 54% [1, 4–6].

MT occurs in approximately 2 to 12% of civilian trauma patients and up to 43% of combat casualties [4, 6–8]. Early identification of patients at risk of MT would minimize the risk of treatment delay. Standard coagulation tests (for example, prothrombin time (PT) or Quick value, activated partial thromboplastin time (aPTT), fibrinogen concentration) have typical turnaround times around 30 to 60 minutes or longer [9, 10]. Consequently, they are of limited value for early prediction of MT; a turnaround time of ≤15 minutes would be preferable. Scoring systems for identifying patients possibly requiring MT have been developed; these include parameters such as blood pressure, heart rate and/or laboratory findings which are available without delay after ER admission [1, 4, 7, 11–14]. However, such systems do not provide information on coagulation status.

Thromboelastometry (ROTEM®; Tem International GmbH, Munich, Germany) offers rapid, comprehensive assessment of the patient's coagulation status, from initiation of coagulation to the formation, quality and potential breakdown of the clot [5, 15–19]. ROTEM® test results have also been used to guide coagulation therapy [20–22]. We hypothesized whether ROTEM® tests could potentially help identify patients who are prone to TIC and MT immediately upon arrival at the trauma centre. An investigation by Leemann et al. was designed to answer the same question [5], although in that study coagulation therapy was based on allogeneic blood components. In our centre we primarily use coagulation factor concentrates, which reduces transfusion of allogeneic blood products [21] and, therefore, changes the basis for predicting MT.

The primary aim of this study was to assess the predictive value of ROTEM® parameters for MT among trauma patients treated with coagulation factor concentrates, with ROTEM® analyses performed on samples taken immediately upon admission to the ER. The secondary aim was to compare the predictive value of ROTEM® parameters with the predictive value of standard coagulation tests.

Materials and methods

After approval from the local Ethics Committee (reference number 415-EP/73/5-2011), we performed a retrospective analysis of data from patients admitted to the AUVA Trauma Centre Salzburg, Austria, between January 2005 and December 2010. All patients with an injury severity score (ISS) ≥16, from whom blood samples were taken immediately upon admission to the ER, were eligible for inclusion in the study. Exclusion criteria were as follows: ISS <16; therapy withheld due to non-survivable injuries; patient suffered from burns; patient transferred from other hospitals. According to the decision of the local Ethics Committee, no patient informed consent was needed for this retrospective analysis.

Demographic data and clinical findings (blood pressure (BP), heart rate (HR), temperature, ISS and Glasgow coma scale (GCS) score) upon admission to the ER were collected from the anesthesia charts. ROTEM® measurements (from EXTEM, INTEM, and FIBTEM tests performed on the samples taken upon ER admission) and standard coagulation test results were reviewed.

ROTEM® and standard coagulation tests

Blood samples for both ROTEM® analysis and standard coagulation tests were collected in 3 mL tubes containing 0.3 mL buffered 3.2% trisodium citrate (volume ratio 1:9). Thromboelastometric analyses were typically performed at the bedside within minutes of sample collection by the attending anesthetist or intensivist. The more severe the trauma, the more quickly the analyses were undertaken (minimum set-up time approximately two minutes). Three ROTEM® tests were performed: extrinsically activated assay with tissue factor (EXTEM), intrinsically activated test using kaolin (INTEM), and extrinsically activated test with tissue factor and the platelet inhibitor cytochalasin D (FIBTEM).

For the EXTEM and INTEM assays, the following variables were measured: clotting time (CT (s)); clot formation time (CFT (s)); A10 (clot amplitude 10 minutes after the end of CT); and maximum clot firmness (MCF (mm)). For the FIBTEM assay, A10 and MCF were investigated. The platelet component was calculated as MCEEXTEM - MCEFIBTEM, where maximum clot elasticity MCE = (MCF*100)/(100-MCF) [23]. Finally, the lysis index at 60 minutes (LI60 (%), clot firmness 60 minutes after CT as percentage of MCF) was collected for the EXTEM and INTEM assays. Hyperfibrinolysis was defined as complete breakdown of the clot, in accordance with previous work by our group [24].

In parallel, standard laboratory analyses were performed: Quick value and aPTT (determined on Sysmex XE-2100 (Roche Diagnostics GmbH, Mannheim, Germany)); pH, base deficit (BD) and lactate (analyzed using Roche OMNI® S Blood Gas Analyzer (Roche Diagnostics GmbH); normal range for BD, −3.0 to +3.0 mmol/L; normal range for lactate 0.5 to 2.2 mmol/L). Fibrinogen concentration was measured by the Clauss method (STA-Fib® assay (Roche Diagnostics GmbH); optical read-out), using a STA-Compact® machine (Roche Diagnostics GmbH, Vienna, Austria). Hemoglobin, hematocrit and platelet count were analyzed using blood samples anti-coagulated with ethylenediamine tetra-acetic acid, with an SF 3000 analyzer (Sysmex Corporation, Kobe, Japan).

Coagulation therapy, RBC administration and data management

For patients with ongoing bleeding, coagulation therapy was based on ROTEM® test results with administration of coagulation factor concentrates as previously described [20, 21]. Red blood cells (RBCs) were administered as required to maintain a target intra-operative hemoglobin concentration of 10 g/dL; later during intensive care unit (ICU) therapy, a lower cut-off value of 7 g/dL was accepted.

Since 2006, electronic documentation has been implemented in our hospital where the type, amount and timing of allogeneic blood products transfused are recorded. For 2005, the amount and timing of allogeneic blood transfusion were reviewed from anesthesia and ICU records. Two groups of patients were defined according to RBC transfusion: non-massive transfusion (non-MT) group (0 to 9 U RBC transfused in 24 hours), and massive transfusion (MT) group (≥10 U RBC transfused in 24 hours). This definition of MT is consistent with that used in previous publications [4, 5, 12, 25]. There was no expectation that the two patient groups would be well matched, since patients with more severe injury upon admission are more likely to undergo MT. Also, the number of patients in the two groups was unlikely to be equal, as in our centre <50% of patients undergo MT; the inclusion of all eligible patients minimizes the risk of bias.

Statistical analysis

Data are presented as mean ± standard deviation or median and interquartile range (IQR) for continuous variables, and as percentages for categorical variables. Continuous variables were analyzed for normal distribution by the Kolmogorov-Smirnov test. To detect differences between patient groups, either the Student's t-test or the Mann-Whitney U-Test was performed, depending on the underlying distribution. Group differences were compared by ANOVA with the Kruskal-Wallis test. For categorical variables, Fisher's exact test was used. Correlation between parameters was analyzed by Spearman's correlation coefficient rho. As a measure for discrimination not depending on a certain cut-off point, the area under the receiver operating characteristic (ROC) curve was determined, together with its 95% confidence interval. A P-value <0.05 was considered significant for all statistical tests. Statistical calculations were performed using GraphPad Prism 5.03 (GraphPad Software, La Jolla, CA, USA) and IBM SPSS 19 (SPSS Inc., Chicago, IL, USA).

Results

During the six-year study period, 415 trauma patients were identified as eligible for inclusion in the study. Of these, 75 patients with ISS <16 and 17 patients with advanced therapy withheld due to non-survivable injuries were excluded. The remaining 323 patients were included in the study.

Patients were predominantly male (78.9%) and the median age was 44 (IQR: 26 to 59) years. Demographic data, clinical findings on admission, GCS score at site of accident and ISS for the three groups are outlined in Table 1. The MT group comprised 78 patients, while 245 patients were in the non-MT group. Patients in the MT group had significantly lower BP, higher HR, and higher ISS values upon admission to the ER compared with patients in the non-MT group. Mortality for the whole study group was 19.8% (n = 64), with a significantly higher rate in the MT group (Table 1).

Table 1 Demographic and clinical data on arrival at the emergency room
Full size table

Differences in coagulation status between transfusion groups

ROTEM® test results

ROTEM® test results are outlined in Table 2. Significant differences for all ROTEM® variables upon arrival at the ER were observed between the groups except for EXTEM lysis index (LI). EXTEM and INTEM CT as well as EXTEM and INTEM CFT were significantly prolonged in the MT group (P < 0.01). Compared with the non-MT group, patients in the MT group had significantly lower EXTEM MCF, INTEM MCF and FIBTEM MCF. The data shown in Figure 1 allow comparison of the amplitude after 10 minutes (A10) with the MCF amplitude. In the FIBTEM assay, the difference between median A10 and MCF was 1 mm in the MT group and 2 mm in the non-MT group. The platelet component was significantly lower in the MT group compared with the non-MT group (Table 2).

Table 2 ROTEM® data on arrival at the emergency room
Full size table
Figure 1
figure 1

ROTEM® measurements differed between patients who received massive transfusion and those that did not. Clot amplitude of EXTEM, INTEM and FIBTEM in five minute intervals for patients who received or did not receive massive transfusion. For each test, after 10 minutes, 75 to 90% of the entire MCF is reached. A5 to A30, amplitude at five-minute intervals; EXTEM, extrinsically activated thromboelastometric test; FIBTEM, extrinsically activated thromboelastometric test with cytochalasin D; INTEM, intrinsically activated thromboelastometric test; MCF, maximum clot firmness; MT, massive transfusion. Groups were compared using the Kruskal-Wallis test. * P < 0.0001 between groups.

Full size image

Hyperfibrinolysis was observed in 19 patients (5.9%); 14 (75%) of these patients died. A significant difference between the study groups in LI was only observed with the INTEM test (Table 2).

Standard laboratory results

Values for laboratory parameters on admission to the ER are depicted in Table 3. The MT group showed severely decreased fibrinogen levels, with a median value of 95 mg/dL. Correspondingly, Quick values and aPTT showed significantly greater impairment of coagulation in the patients who received MT. Blood gas analyses and lactate levels were also significantly different between the groups (P < 0.0001).

Table 3 Standard laboratory parameters on arrival at the emergency room
Full size table

Prediction of massive transfusion: ROC curves

ROC curves for ROTEM® parameters showed that the best predictive value for MT was provided by FIBTEM MCF (area under the curve (AUC) 0.84), with a similar outcome for FIBTEM A10 (AUC 0.83) (Table 4). For A10, a threshold of ≤4 mm provided the best values for sensitivity (63.6, 95% confidence interval (CI) 51.9 to 74.3) and specificity (82.9, CI 77.5 to 87.5). The corresponding threshold for MCF was ≤7 mm (sensitivity 78.2 (CI 67.4 to 86.8); specificity 74.7 (CI 68.7 to 80.1)). AUCs for prediction by the EXTEM and INTEM test parameters were slightly lower than those for FIBTEM MCF and FIBTEM A10 (Table 4). A statistically significant difference was observed between AUCs for FIBTEM MCF and INTEM MCF (P = 0.047), but there was no significant difference between the AUCs for FIBTEM A10 and INTEM MCF or EXTEM MCF. For all ROTEM® parameters, the ROC-AUC remained unchanged if clot elasticity was used instead of clot firmness (for example, maximum clot elasticity (MCE) instead of MCF). The platelet component had an AUC for MT prediction of 0.74 (CI 0.69 to 0.79).

Table 4 Coagulation parameters and their prediction of massive transfusion (MT)
Full size table

Considering standard laboratory coagulation analyses, the highest predictive values for MT were provided by hemoglobin, Quick value and aPTT (ROC-AUC values shown in Table 4). Fibrinogen concentration provided predictive value similar to that of the FIBTEM parameters.

Relationship between coagulation analyses and transfusion

Quantities for RBC transfusion and coagulation therapy within the first 24 hours are summarized in Table 5. Patients in the MT group (by definition receiving more units of RBC) also received higher amounts of fibrinogen concentrate (FC), prothrombin complex concentrate (PCC) and platelet concentrate. Fresh frozen plasma (FFP) administration is not outlined in the table as it was used in only 10 out of 323 patients.

Table 5 RBC transfusion and coagulation therapy administered during the first 24 hours
Full size table

Higher amounts of RBC transfusion were observed among patients with lower FIBTEM A10 values (P < 0.01) and lower fibrinogen concentration (Figure 2). Using a cut-off value for FIBTEM A10 of ≤4 mm, patients received a median of 10 (IQR 5 to 15) units of RBC, compared to a median of 2 (IQR 0 to 6) units in patients with a FIBTEM A10 >4 mm, representing five-fold higher RBC transfusion among those with the lower A10 values. Among the 31 patients with a FIBTEM A10 ≤3 mm, 26 (84%) were in the MT group. Unsurprisingly, significant correlations were observed between FIBTEM A10 and fibrinogen concentration (Spearman's correlation coefficient rho 0.78, P < 0.0001), and between MCF and fibrinogen concentration (Spearman's correlation coefficient rho 0.75, P < 0.0001). Twenty-nine patients had FIBTEM A10 values of zero and a median fibrinogen concentration of 64 mg/dL (IQR 54 to 94 mg/dL; Figure 2c). In 17 of these patients, 'spindle' traces (LI values up to 100%) for the INTEM and EXTEM assays indicated the presence of hyperfibrinolysis.

Figure 2
figure 2

FIBTEM A10 and fibrinogen concentration on admission to the ER, and RBC transfusion. Low FIBTEM A10 (0 to 3 mm) and low fibrinogen concentration (<100 mg/dL) upon ER admission was associated with an increased requirement for RBC transfusion. A10, clot amplitude at 10 minutes after CT; ER, emergency room; FIBTEM, extrinsically activated thromboelastometric test with cytochalasin D; RBC, red blood cell concentrate. (a)* P < 0.0001 vs 0 to 3 mm; (b)* P < 0.001 vs ≤100 mg/dL; **P < 0.0001 vs ≤100 mg/dL; (c) Correlation between FIBTEM A10 and fibrinogen concentration rho = 0.75

Full size image

Discussion

In this study, FIBTEM A10 and FIBTEM MCF showed similar predictive values for MT among trauma patients to those observed for the most predictive laboratory parameters (hemoglobin, Quick value, aPTT, fibrinogen concentration). Unlike the laboratory parameters, ROTEM® tests provide valuable information on overall coagulation status and can be performed rapidly; consequently, they have the potential to help guide hemostatic therapy. On this basis, we advocate integration of viscoelastic testing into protocols for initial assessment of trauma patients.

Our findings are in some ways similar to those reported in a similar study by Leemann et al., where the same definition for MT was used and patients' demographic and clinical data were comparable [5]. Considering ROTEM® parameters, elongated clot formation time and reduced clot firmness (amplitude at specific timepoints and maximum clot firmness) were observed among patients undergoing MT in both studies. The ROC-AUC for INTEM MCF in the Leemann et al. study (0.824) was comparable with that in the current study (0.78). However, the Leemann et al. study did not include FIBTEM parameters, which we report as providing better predictive value than other ROTEM® parameters. Also, Leemann et al. reported mean RBC transfusion during the first 24 hours of 22.3 units [5]. This is higher than the median of 15 units of RBCs in our study, possibly attributable to a difference in coagulation therapy. In our study, coagulation therapy was based on fibrinogen and prothrombin complex concentrates, so that FFP was used only occasionally (10 patients out of 323). Our group has previously shown that transfusion of RBC and platelet concentrate is significantly lower when treating patients with coagulation factor concentrate-based therapy, compared with FFP-based therapy [21]. A more recent study by Davenport et al. was performed to identify parameters for early diagnosis of acute trauma-related coagulopathy [26]. This study reported reduced clot firmness (EXTEM assay) among trauma patients with acute coagulopathy, compared with non-coagulopathic patients. In line with findings of the present study, Davenport et al. also reported that EXTEM clot amplitude at five minutes may be used to predict which patients would require MT [26], although as in the study by Leemann et al., the FIBTEM assay was not investigated.

Most trauma patients with major bleeding are coagulopathic on admission to the ER, increasing the risk of MT [6]. Early identification of patients who require MT would enable appropriate blood products to be ordered in advance. There is typically a time delay of up to an hour between ordering FFP and having it at the bedside, ready to administer [27, 28]. Thus, by ordering an appropriate quantity of FFP in advance, treatment time delays may be minimized. This could have a significant effect on patient outcomes: time to intervention appears to impact mortality to a greater extent than the FFP:RBC ratio [29].

We found that the initiation of coagulation (measured by EXTEM and INTEM CT) and the kinetics of clot formation (EXTEM and INTEM CFT) were prolonged among MT patients compared with non-MT patients. Furthermore, reduced clot quality (shown by lower MCF in all ROTEM® tests) was observed in the MT group. Based on ROC curve data, FIBTEM MCF provides a higher predictive value for MT than other ROTEM® parameters. Importantly, the predictive value of FIBTEM A10 was similarly high and, in addition, there were no clinically relevant differences between the median values for A10 and MCF. These findings highlight the potential for FIBTEM to provide predictive information within as little as 10 minutes after CT. This finding is novel: no previous study has assessed the potential of the FIBTEM assay to predict MT.

FIBTEM MCF or A10 is sometimes mistakenly considered as a means of measuring fibrinogen concentration. The FIBTEM assay measures elasticity of the fibrin-based clot, which is dependent not only on fibrinogen but also on other proteins such as Factor XIII [30]. Although correlations between FIBTEM MCF and fibrinogen concentration have been observed [31–33], the involvement of other proteins confounds extrapolation between these parameters. Colloid therapy (for example, hydroxyethyl starch (HES)) may be another confounder, as the presence of HES reduces FIBTEM values but increases Clauss fibrinogen concentration [34]. Additional considerations are that any FIBTEM amplitude below 2 mm is assigned a value of zero, and that fibrinolysis may potentially impair formation of the fibrin-based clot. These factors could all have contributed to our observation of zero FIBTEM A10 in 29 patients with fibrinogen concentrations up to 205 mg/dL (Figure 2c).

In the current study, the highest ROC-AUC's for MT prediction were calculated for hemoglobin, Quick value and aPTT. However, these tests are often only available after a time delay of 30 to 60 minutes or more [9, 10]. Point-of-care (POC) assessment of these parameters may be undertaken, but at least for PT and aPTT this has not been investigated for predicting MT. POC measurement of fibrinogen has been attempted but this was confounded by whole-blood constituents such as RBCs and platelets [35]. Unlike ROTEM® tests, laboratory parameters cannot provide timely insight into overall coagulation status or, therefore, provide valuable guidance on the best therapy to administer. In view of this and the lack of clinically important differences in predictive values for MT between FIBTEM A10/MCF and the most predictive laboratory parameters, we advocate prioritization of ROTEM® analysis for trauma patients.

Time delay may explain why most scoring systems developed for activating massive transfusion protocols do not include standard coagulation tests [1, 4, 7, 13]. For example, the trauma associated severe hemorrhage (TASH) score incorporates physiological parameters (HR and systolic BP), laboratory test results which are available within minutes (BD and hemoglobin), anatomic findings (complex long bone fractures/pelvic fracture; presence of intra-abdominal fluids) and gender. Yucel et al. reported an ROC-AUC for TASH of 0.88, in relation to prediction of MT [11]. Rainer et al. described seven variables easy to obtain in the ER, and reported an ROC-AUC for MT of 0.889 [4]. McLaughlin and coworkers used SBP <110 mm Hg, heart rate >105 bpm, pH <7.25 and hematocrit <32% to predict MT (ROC-AUC 0.74) [7]. The ABC score, reported by Nunez and Cotton, comprises four components (penetrating injury, systolic blood pressure, heart rate, positive FAST) that can be assessed within minutes (ROC-AUC 0.86) [12, 13].

In contrast to these systems, ROTEM® serves as a rapid coagulation monitoring system with the additional value of early MT risk stratification using the FIBTEM A10 (ROC-AUC for MT: 0.83). Taken together, the three ROTEM® tests included in this study (INTEM, EXTEM, FIBTEM) enable rapid detection of most coagulation disorders [24, 36]. These potentially include hyperfibrinolysis, which cannot be assessed adequately by standard coagulation tests, although it must be acknowledged that no specific definition of hyperfibrinolysis based on ROTEM® parameters has yet been validated. INTEM, EXTEM and FIBTEM are routinely performed in our ER, and the ROTEM® device allows them to be performed simultaneously. The results may be used to facilitate prompt, goal-directed coagulation therapy according to the patient's individual needs [20, 21].

Limitations

The clinical value of the MT definition we used in this study has been questioned: mortality increases with increasing red blood cell transfusion (no apparent threshold level of transfusion), so the criterion of 10 units in 24 hours does not allow specific selection of patients with worsened clinical outcomes [37]. An alternative definition of MT has been explored (at least five units of RBC during the first four hours) [38], but at present there is not enough evidence to support the use of such criteria.

MT patients in our study may not be directly comparable with those studied at other centres, due to our use of coagulation factor concentrates for coagulation therapy. Use of the standard FIBTEM assay also represents a possible limitation of the study: it has been shown that cytochalasin D does not provide complete inhibition of platelet activity [39]. As a result, in our study, values for FIBTEM could be higher than they should be and values for platelet component could be lower. These effects would vary between patients depending on platelet count. The retrospective nature of the study was another limitation - for example, we were not able to identify co-medications or co-morbidities that could have influenced test results. As expected, the separation of patients according to whether they underwent MT led to groups of patients that were not balanced in relation to severity of injury. This imbalance could possibly be considered as a study weakness, though on the other hand it could be considered simply as a reflection of clinical reality. The difference in patient numbers between the two groups, which is attributable simply to the number of patients meeting the inclusion criteria for each group during the study period, might also be considered as a limitation of the study. We proceeded with the analysis of the unbalanced groups because this approach avoids the bias that might potentially arise from the 'artificial' exclusion of a proportion of the non-MT patients. Similar between-group differences, both in patient numbers and severity of injury, were evident in the study published by Leemann et al. [5]. Lastly, the exclusion of patients for whom therapy was withheld due to non-survivable injuries could be considered as a limitation potentially introducing bias, as no patient with the maximum ISS score of 75 was included in the study. However, the inclusion of patients not receiving standard medication would certainly have introduced bias to the study, because they died without receiving any transfusion and ROTEM® test results would not have been followed by any therapy.

Conclusions

In this retrospective study of trauma patients treated with coagulation factor concentrates, FIBTEM A10 and FIBTEM MCF obtained immediately after admission to the ER provided early information on the likelihood of requiring MT. Such prediction would allow early activation of MT protocols. Through the use of a single device, viscoelastic clot testing has the potential to predict the risk of MT while also providing useful information about the underlying coagulation disorder. Taken together, these factors clearly distinguish ROTEM® from other means of predicting MT such as hemoglobin level, Quick value or TASH score. Additional prospective studies are needed to confirm our data.

Key messages

  • Early identification of the need for massive transfusion (MT) may increase the speed and success of hemostatic intervention in trauma patients.

  • FIBTEM MCF and FIBTEM A10 obtained from blood samples taken immediately upon admission to the ER showed similarly high predictive value for MT as the most predictive laboratory parameters.

  • ROTEM® analysis enables rapid detection of most coagulation disorders; this study demonstrates the additional benefit of MT risk stratification using results available within 10 minutes after CT.

  • Prospective trials are required to confirm the value of ROTEM® measurements in predicting massive transfusion.

Abbreviations

A10:

clot amplitude 10 minutes after CT

ANOVA:

analysis of variance

aPTT:

activated partial thromboplastin time

AUC:

area under the curve

BD:

base deficit

BP:

blood pressure

CFT:

clot formation time

CT:

clotting time

EXTEM:

extrinsically activated thromboelastometric test

ER:

emergency room

FC:

fibrinogen concentrate

FFP:

fresh frozen plasma

FIBTEM:

extrinsically activated thromboelastometric test with cytochalasin D

GCS:

Glasgow Coma Scale

HES:

hydroxyethyl starch

HR:

heart rate

ICU:

intensive care unit

INTEM:

intrinsically activated thromboelastometric test

IQR:

interquartile range

ISS:

Injury Severity Score

LI:

lysis index

MCE:

maximum clot elasticity

MCF:

maximum clot firmness

MT:

massive transfusion

PCC:

prothrombin complex concentrate

POC:

point of care

PT:

prothrombin time

RBC:

red blood cell concentrate

ROC:

receiver operating characteristic

ROTEM®:

thromboelastometry

RSI:

rapid sequence intubation

SBP:

systolic blood pressure

TEG:

thrombelastography

TIC:

trauma induced coagulopathy

TASH-score:

trauma associated severe hemorrhage score.

References

  1. Maegele M, Lefering R, Wafaisade A, Theodorou P, Wutzler S, Fischer P, Bouillon B, Paffrath T: Revalidation and update of the TASH-Score: a scoring system to predict the probability for massive transfusion as a surrogate for life-threatening haemorrhage after severe injury. Vox Sang 2011, 100: 231-238. 10.1111/j.1423-0410.2010.01387.x

    Article  CAS  PubMed  Google Scholar 

  2. Floccard B, Rugeri L, Faure A, Denis MS, Boyle EM, Peguet O, Levrat A, Guillaume C, Marcotte G, Vulliez A, Hautin E, David JS, Négrier C, Allaouchiche B: Early coagulopathy in trauma patients: an on-scene and hospital admission study. Injury 2010, in press.

    Google Scholar 

  3. Brohi K: Diagnosis and management of coagulopathy after major trauma. Br J Surg 2009, 96: 963-964. 10.1002/bjs.6691

    Article  CAS  PubMed  Google Scholar 

  4. Rainer TH, Ho AM, Yeung JH, Cheung NK, Wong RS, Tang N, Ng SK, Wong GK, Lai PB, Graham CA: Early risk stratification of patients with major trauma requiring massive blood transfusion. Resuscitation 2011, 82: 724-729. 10.1016/j.resuscitation.2011.02.016

    Article  PubMed  Google Scholar 

  5. Leemann H, Lustenberger T, Talving P, Kobayashi L, Bukur M, Brenni M, Bruesch M, Spahn DR, Keel MJ: The role of rotation thromboelastometry in early prediction of massive transfusion. J Trauma 2010, 69: 1403-1408. 10.1097/TA.0b013e3181faaa25

    Article  PubMed  Google Scholar 

  6. Frith D, Goslings JC, Gaarder C, Maegele M, Cohen MJ, Allard S, Johansson PI, Stanworth S, Thiemermann C, Brohi K: Definition and drivers of acute traumatic coagulopathy: clinical and experimental investigations. J Thromb Haemost 2010, 8: 1919-1925. 10.1111/j.1538-7836.2010.03945.x

    Article  CAS  PubMed  Google Scholar 

  7. McLaughlin DF, Niles SE, Salinas J, Perkins JG, Cox ED, Wade CE, Holcomb JB: A predictive model for massive transfusion in combat casualty patients. J Trauma 2008,64(2 Suppl):S57-63.

    Article  PubMed  Google Scholar 

  8. O'Keeffe T, Refaai M, Tchorz K, Forestner JE, Sarode R: A massive transfusion protocol to decrease blood component use and costs. Arch Surg 2008, 143: 686-690. 10.1001/archsurg.143.7.686

    Article  PubMed  Google Scholar 

  9. Toulon P, Ozier Y, Ankri A, Fleron MH, Leroux G, Samama CM: Point-of-care versus central laboratory coagulation testing during haemorrhagic surgery. A multicenter study. Thromb Haemost 2009, 101: 394-401.

    CAS  PubMed  Google Scholar 

  10. Frith D, Brohi K: The acute coagulopathy of trauma shock: clinical relevance. Surgeon 2010, 8: 159-163. 10.1016/j.surge.2009.10.022

    Article  PubMed  Google Scholar 

  11. Yucel N, Lefering R, Maegele M, Vorweg M, Tjardes T, Ruchholtz S, Neugebauer EA, Wappler F, Bouillon B, Rixen D: Trauma Associated Severe Hemorrhage (TASH)-Score: probability of mass transfusion as surrogate for life threatening hemorrhage after multiple trauma. J Trauma 2006, 60: 1228-1236. 10.1097/01.ta.0000220386.84012.bf

    Article  PubMed  Google Scholar 

  12. Cotton BA, Dossett LA, Haut ER, Shafi S, Nunez TC, Au BK, Zaydfudim V, Johnston M, Arbogast P, Young PP: Multicenter validation of a simplified score to predict massive transfusion in trauma. J Trauma 2010, 69: S33-39. 10.1097/TA.0b013e3181e42411

    Article  PubMed  Google Scholar 

  13. Nunez TC, Voskresensky IV, Dossett LA, Shinall R, Dutton WD, Cotton BA: Early prediction of massive transfusion in trauma: simple as ABC (assessment of blood consumption)? J Trauma 2009, 66: 346-352. 10.1097/TA.0b013e3181961c35

    Article  PubMed  Google Scholar 

  14. Gonzalez EA, Moore FA, Holcomb JB, Miller CC, Kozar RA, Todd SR, Cocanour CS, Balldin BC, McKinley BA: Fresh frozen plasma should be given earlier to patients requiring massive transfusion. J Trauma 2007, 62: 112-119. 10.1097/01.ta.0000250497.08101.8b

    Article  PubMed  Google Scholar 

  15. Schochl H, Solomon C, Voelckel W: Thromboelastometry in the perioperative setting. Netherlands J Crit Care 2010, 14: 23-31.

    Google Scholar 

  16. Schreiber MA, Perkins J, Kiraly L, Underwood S, Wade C, Holcomb JB: Early predictors of massive transfusion in combat casualties. J Am Coll Surg 2007, 205: 541-545. 10.1016/j.jamcollsurg.2007.05.007

    Article  PubMed  Google Scholar 

  17. Kashuk JL, Moore EE, Sawyer M, Le T, Johnson J, Biffl WL, Cothren CC, Barnett C, Stahel P, Sillman CC, Sauaia A, Banerjee A: Postinjury coagulopathy management: goal directed resuscitation via POC thrombelastography. Ann Surg 2010, 251: 604-614. 10.1097/SLA.0b013e3181d3599c

    Article  PubMed  Google Scholar 

  18. Johansson PI, Stensballe J: Effect of Haemostatic Control Resuscitation on mortality in massively bleeding patients: a before and after study. Vox Sang 2009, 96: 111-118. 10.1111/j.1423-0410.2008.01130.x

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  19. Carroll RC, Craft RM, Langdon RJ, Clanton CR, Snider CC, Wellons DD, Dakin PA, Lawson CM, Enderson BL, Kurek SJ: Early evaluation of acute traumatic coagulopathy by thrombelastography. Transl Res 2009, 154: 34-39. 10.1016/j.trsl.2009.04.001

    Article  PubMed  Google Scholar 

  20. Schochl H, Nienaber U, Hofer G, Voelckel W, Jambor C, Scharbert G, Kozek-Langenecker S, Solomon C: Goal-directed coagulation management of major trauma patients using thromboelastometry (ROTEM)-guided administration of fibrinogen concentrate and prothrombin complex concentrate. Crit Care 2010, 14: R55. 10.1186/cc8948

    Article  PubMed Central  PubMed  Google Scholar 

  21. Schochl H, Nienaber U, Maegele M, Hochleitner G, Primavesi F, Steitz B, Arndt C, Hanke A, Voelckel W, Solomon C: Transfusion in trauma: thromboelastometry-guided coagulation factor concentrate-based therapy versus standard fresh frozen plasma-based therapy. Crit Care 2011, 15: R83. 10.1186/cc10078

    Article  PubMed Central  PubMed  Google Scholar 

  22. Rahe-Meyer N, Solomon C, Winterhalter M, Piepenbrock S, Tanaka K, Haverich A, Pichlmaier M: Thromboelastometry-guided administration of fibrinogen concentrate for the treatment of excessive intraoperative bleeding in thoracoabdominal aortic aneurysm surgery. J Thorac Cardiovasc Surg 2009, 138: 694-702. 10.1016/j.jtcvs.2008.11.065

    Article  PubMed  Google Scholar 

  23. Lang T, Johanning K, Metzler H, Piepenbrock S, Solomon C, Rahe-Meyer N, Tanaka KA: The effects of fibrinogen levels on thromboelastometric variables in the presence of thrombocytopenia. Anesth Analg 2009, 108: 751-758. 10.1213/ane.0b013e3181966675

    Article  PubMed  Google Scholar 

  24. Schochl H, Frietsch T, Pavelka M, Jambor C: Hyperfibrinolysis after major trauma: differential diagnosis of lysis patterns and prognostic value of thrombelastometry. J Trauma 2009, 67: 125-131. 10.1097/TA.0b013e31818b2483

    Article  PubMed  Google Scholar 

  25. Malone DL, Hess JR, Fingerhut A: Massive transfusion practices around the globe and a suggestion for a common massive transfusion protocol. J Trauma 2006, 60: S91-96. 10.1097/01.ta.0000199549.80731.e6

    Article  PubMed  Google Scholar 

  26. Davenport R, Manson J, De'ath H, Platton S, Coates A, Allard S, Hart D, Pearse R, Pasi KJ, Maccallum P, Stanworth S, Brohi K: Functional definition and characterization of acute traumatic coagulopathy. Crit Care Med 2011, in press.

    Google Scholar 

  27. Hillman RS, Ault KA, Rinder HM: Blood component therapy. In Hematology in Clinical Practice. 4th edition. New York, New York: McGraw-Hill Companies Inc; 2005:439.

    Google Scholar 

  28. Aghababian RV, Jackson Allison E Jr, Boyer EW, Braen GR, Manno MM, Moorhead JC, Volturo GA: Transfusions. In Essentials of Emergency Medicine. Sudbury, Massachusetts: Jones and Bartlett Publishers, Inc; 2006:274.

    Google Scholar 

  29. Riskin DJ, Tsai TC, Riskin L, Hernandez-Boussard T, Purtill M, Maggio PM, Spain DA, Brundage SI: Massive transfusion protocols: the role of aggressive resuscitation versus product ratio in mortality reduction. J Am Coll Surg 2009, 209: 198-205. 10.1016/j.jamcollsurg.2009.04.016

    Article  PubMed  Google Scholar 

  30. Solomon C, Pichlmaier U, Schoechl H, Hagl C, Raymondos K, Scheinichen D, Koppert W, Rahe-Meyer N: Recovery of fibrinogen after administration of fibrinogen concentrate to patients with severe bleeding after cardiopulmonary bypass surgery. Br J Anaesth 2010, 104: 555-562. 10.1093/bja/aeq058

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  31. Chandler WL, Patel MA, Gravelle L, Soltow LO, Lewis K, Bishop PD, Spiess BD: Factor XIIIA and clot strength after cardiopulmonary bypass. Blood Coagul Fibrinolysis 2001, 12: 101-108. 10.1097/00001721-200103000-00003

    Article  CAS  PubMed  Google Scholar 

  32. Huissoud C, Carrabin N, Audibert F, Levrat A, Massignon D, Berland M, Rudigoz RC: Bedside assessment of fibrinogen level in postpartum haemorrhage by thrombelastometry. BJOG 2009, 116: 1097-1102. 10.1111/j.1471-0528.2009.02187.x

    Article  CAS  PubMed  Google Scholar 

  33. Rugeri L, Levrat A, David JS, Delecroix E, Floccard B, Gros A, Allaouchiche B, Negrier C: Diagnosis of early coagulation abnormalities in trauma patients by rotation thrombelastography. J Thromb Haemost 2007, 5: 289-295. 10.1111/j.1538-7836.2007.02319.x

    Article  CAS  PubMed  Google Scholar 

  34. Fenger-Eriksen C, Moore GW, Rangarajan S, Ingerslev J, Sorensen B: Fibrinogen estimates are influenced by methods of measurement and hemodilution with colloid plasma expanders. Transfusion 2010, 50: 2571-2576. 10.1111/j.1537-2995.2010.02752.x

    Article  PubMed  Google Scholar 

  35. Matthews DR, Ecklund JM, Hennein H: Clinical comparison of patient-side fibrinogen assay and common laboratory analyzer in pediatric cardiopulmonary bypass. J Extra Corpor Technol 1995, 27: 126-131.

    CAS  PubMed  Google Scholar 

  36. Kashuk JL, Moore EE, Sawyer M, Wohlauer M, Pezold M, Barnett C, Biffl WL, Burlew CC, Johnson JL, Sauaia A: Primary fibrinolysis is integral in the pathogenesis of the acute coagulopathy of trauma. Ann Surg 2010, 252: 434-442.

    PubMed  Google Scholar 

  37. Stanworth SJ, Morris TP, Gaarder C, Goslings JC, Maegele M, Cohen MJ, Konig TC, Davenport RA, Pittet JF, Johansson PI, Allard S, Johnson T, Brohi K: Reappraising the concept of massive transfusion in trauma. Crit Care 2010, 14: R239. 10.1186/cc9394

    Article  PubMed Central  PubMed  Google Scholar 

  38. Mitra B, Cameron PA, Gruen RL, Mori A, Fitzgerald M, Street A: The definition of massive transfusion in trauma: a critical variable in examining evidence for resuscitation. Eur J Emerg Med 2011, 18: 137-142. 10.1097/MEJ.0b013e328342310e

    Article  PubMed  Google Scholar 

  39. Lang T, Toller W, Gutl M, Mahla E, Metzler H, Rehak P, Marz W, Halwachs-Baumann G: Different effects of abciximab and cytochalasin D on clot strength in thrombelastography. J Thromb Haemost 2004, 2: 147-153. 10.1111/j.1538-7836.2004.00555.x

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Mr Gerald Hochleitner for his skilled technical assistance.

Author information

Authors and Affiliations

  1. Ludwig Boltzmann Institute for Experimental and Clinical Traumatology and AUVA Research Centre, Donaueschingenstraße 13, Vienna, A-1200, Austria

    Herbert Schöchl & Cristina Solomon

  2. Department of Anaesthesiology and Intensive Care Medicine, AUVA Trauma Centre, Dr. Franz-Rehrl-Platz 5, Salzburg, 5010, Austria

    Herbert Schöchl & Wolfgang Voelckel

  3. Department of Surgery, University of Texas Health Science Center, 64100 Fannin Street, Houston, TX, 77030, USA

    Bryan Cotton

  4. Division of Trauma, University of Southern California - Keck School of Medicine, 1520 San Pablo, Los Angeles, CA, 90033, USA

    Kenji Inaba

  5. AUC Academy for Trauma Surgery, Schillerstr. 37a, Munich, 80336, Germany

    Ulrike Nienaber

  6. Division of Cardio-thoracic-vascular Surgical Anaesthesia and Intensive Care Medicine, Intensive Care Medicine and Pain Medicine Department of Anaesthesia, Medical University, Austria Waehringer Guertel 18-20, Vienna, 1090, Austria

    Henrik Fischer

  7. Department of Anaesthesiology, Intensive Care and Perioperative Medicine, Salzburg University Hospital SALK, 48 Müllner Hauptstrasse, Salzburg, 5020, Austria

    Cristina Solomon

Authors
  1. Herbert Schöchl
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bryan Cotton
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kenji Inaba
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ulrike Nienaber
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Henrik Fischer
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Wolfgang Voelckel
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Cristina Solomon
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Herbert Schöchl.

Additional information

Competing interests

Herbert Schöchl has received speaker's fees from Baxter, CSL Behring, Fresenius Kabi, GlaxoSmithKline and Tem International. Cristina Solomon has received speaker's fees from CSL Behring and Tem International. All other authors declare that no competing financial interests exist. Editorial assistance was provided by medical writers from Meridian HealthComms during the preparation of this manuscript. Financial support for this assistance was provided by CSL Behring.

Authors' contributions

HS designed the study, collected the data, performed the statistical analysis and wrote the manuscript. BC and KI contributed to writing the manuscript. UN contributed to the statistical analysis and to data interpretation. HF and WV contributed to data collection and to data interpretation. CS contributed to the statistical analysis, data interpretation and to writing the manuscript. All authors have read and approved the manuscript for publication.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Authors’ original file for figure 3

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Schöchl, H., Cotton, B., Inaba, K. et al. FIBTEM provides early prediction of massive transfusion in trauma. Crit Care 15, R265 (2011). https://doi.org/10.1186/cc10539

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/cc10539

Keywords

  • Trauma Patient
  • Injury Severity Score
  • Fresh Freeze Plasma
  • Massive Transfusion
  • Fibrinogen Concentration

Critical Care

ISSN: 1364-8535