Massive Transfusion In Trauma Patients Research Articles

Impact of a calcium replacement protocol during massive transfusion in trauma patients at a level 2 trauma center.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Hypocalcemia is associated with increased mortality in trauma patients with hemorrhagic shock who require massive transfusion protocols (MTPs). Despite known risks of potentiating hypocalcemia with blood product administration, there is little research discussing appropriate calcium replacement. The purpose of this study was to evaluate the ability of a standardized calcium replacement protocol to reduce the incidence of hypocalcemia in trauma patients undergoing MTP. This retrospective, single-center, pre-post study evaluated the use of a calcium replacement protocol during MTP. Adult trauma patients with MTP orders who received at least one "round" of product transfusion were included. Patients were excluded if their ionized calcium (iCa) levels were unavailable or they were transferred to a higher level of care within 4 hours of presentation. The primary outcome was incidence of hypocalcemia (iCa of <1.1mg/dL) within 24 hours of MTP initiation. Secondary endpoints included the incidence of severe hypocalcemia (iCa of <0.9mg/dL), time to first calcium dose, total calcium dose administered (mEq), resolution of hypocalcemia within 24 hours, hypercalcemia, adherence to the calcium replacement protocol, and mortality. The incidence of hypocalcemia within 24 hours was significantly lower in the postprotocol group (63% vs 95.2%; P = 0.006). There was not a significant difference in the incidence of severe hypocalcemia between the groups (39.1% vs 69.1%; P = 0.083). Time to first calcium dose was significantly shorter in postprotocol patients compared to preprotocol patients (median [interquartile range], 5.5 [0-21] minutes vs 43 [22.8-73] minutes; P < 0.0001), and postprotocol patients were administered more calcium during MTP (40.8 [27.2-54.4] mEq vs 27.2 [14-32.2] mEq; P = 0.005). Adherence to the protocol was seen in only 37% of patients in the postprotocol group. There was no difference in the rate of adverse events or overall mortality. Trauma patients who received massive transfusion of blood products had a significantly lower incidence of hypocalcemia after a calcium replacement protocol was implemented.

Machine learning in the prediction of massive transfusion in trauma: a retrospective analysis as a proof-of-concept.

Early administration and protocolization of massive hemorrhage protocols (MHP) has been associated with decreases in mortality, multiorgan system failure, and number of blood products used. Various prediction tools have been developed for the initiation of MHP, but no single tool has demonstrated strong prediction with early clinical data. We sought to develop a massive transfusion prediction model using machine learning and early clinical data. Using the National Trauma Data Bank from 2013 to 2018, we included severely injured trauma patients and extracted clinical features available from the pre-hospital and emergency department. We subsequently balanced our dataset and used the Boruta algorithm to determine feature selection. Massive transfusion was defined as five units at 4h and ten units at 24h. Six machine learning models were trained on the balanced dataset and tested on the original. A total of 326,758 patients met our inclusion with 18,871 (5.8%) requiring massive transfusion. Emergency department models demonstrated strong performance characteristics with mean areas under the receiver-operating characteristic curve of 0.83. Extreme gradient boost modeling slightly outperformed and demonstrated adequate predictive performance with pre-hospital data only, as well as 4-h transfusion thresholds. We demonstrate the use of machine learning in developing an accurate prediction model for massive transfusion in trauma patients using early clinical data. This research demonstrates the potential utility of artificial intelligence as a clinical decision support tool.

Tissue plasminogen activator challenge thrombelastography is the most accurate assay in predicting the need for massive transfusion in hypotensive trauma patients

BackgroundTissue plasminogen activator (tPA) added to thrombelastography (TEG) detects hyperfibrinolysis by measuring clot lysis at 30 min (tPA-challenge-TEG). We hypothesize that tPA-challenge-TEG is a better predictor of massive transfusion (MT) than existing strategies in trauma patients with hypotension. MethodsTrauma activation patients (TAP, 2014–2020) with 1) systolic blood pressure <90 mmHg (early) or 2) those who arrived normotensive but developed hypotension within 1H postinjury (delayed) were analyzed. MT was defined as >10 RBC U/6H postinjury or death within 6H after ≥1 RBC unit. Area under the receiver operating characteristics curves were used to compare predictive performance. Youden index determined optimal cutoffs. ResultstPA-challenge-TEG was the best predictor of MT in the early hypotension subgroup (N = 212) with positive (PPV) and negative predictive values (NPV) of 75.0%, and 77.6%, respectively. tPA-challenge-TEG was a better predictor of MT than all but TASH (PPV = 65.0%, NPV = 93.3%) in the delayed hypotension group (N = 125). ConclusionsThe tPA-challenge-TEG is the most accurate predictor of MT in trauma patients arriving hypotensive and offers early recognition of MT in patients with delayed hypotension.

Massive transfusion protocols in the Netherlands. Consensus or confusion?

IntroductionTransfusion strategy for trauma patients with massive haemorrhage is often incorporated in massive transfusion protocols (MTP). Albeit correct MTP use results in better patient outcome, research regarding the state of MTP knowledge is scarce. The objective of this study is therefore to assess knowledge of local MTP and massive transfusion strategy in the level 1 trauma centres in the Netherlands. Our hypothesis is that actual MTP knowledge is low and transfusion strategy differs. Materials and methodsSurveys were sent out in January 2020 to all trauma and vascular surgeons, anaesthesiologists, emergency department physicians of the largest level 1 trauma centre (locally, n = 113) and to one trauma surgeon, emergency physician and anaesthesiologist in each of the nine other governmentally assigned level 1 trauma centres in the Netherlands (nationally, n = 27). The respondents were subdivided into a frequent user group (MTP usage ≥ 4 times in 2019) and a non-frequent user group (MTP usage < 4 in 2019). Data are expressed as numbers and percentages. ResultsResponse rate was (n = 48; 42%) for the local survey and (n = 14; 52%) for the national survey. Locally, (n = 23; 48%) and (n = 25; 52%) respondents were defined frequent and non-frequent users respectively and national respondents all as frequent users. In total, (n = 13; 27%) of local respondents were aware of the current local composition of the MTP. Respondents indicated to transfuse erythrocytes first, followed by plasma and platelets (local non-frequent users n = 23; 92%, local frequent users n = 21; 91% and national frequent users n = 13; 93%). The indication for platelet transfusion was units erythrocytes transfused (local non-frequent users n = 10; 40% frequent users locally n = 11; 48% and nationally n = 5; 36%) and clinical view (local non-frequent users n = 9; 36%, frequent users locally n = 8; 35% and n<5 nationally. Whereas few respondents claimed (n = 5; 21% non-frequent users locally and n <5 nationally) to transfuse platelets based on platelet counts. Viscoelastic haemostatic assays were performed during MTP, but only by frequent users. ConclusionThe majority of physicians dealing with massive transfusion in trauma patients were not aware of the exact composition of the MTP and consensus regarding transfusion strategy and indication for platelet transfusion was low.

Platelet to erythrocyte transfusion ratio and mortality in massively transfused trauma patients. A systematic review and meta-analysis.

Platelet transfusion during major hemorrhage is important and often embedded in massive transfusion protocols. However, the optimal ratio of platelets to erythrocytes (platelet-rich plasma [PLT]/red blood cell [RBC] ratio) remains unclear. We hypothesized that high PLT/RBC ratios, as compared with low PLT/RBC ratios, are associated with improved survival in patients requiring massive transfusion. Four databases (Pubmed, CINAHL, EMBASE, and Cochrane) were systematically screened for literatures published until January 21, 2021, to determine the effect of PLT/RBC ratio on the primary outcome measure mortality at 1 hour to 6 hours and 24 hours and at 28 days to 30 days. Studies comparing various PLT/RBC ratios were included in the meta-analysis. Secondary outcomes included intensive care unit length of stay and in-hospital length of stay and total blood component use. The study protocol was registered in PROSPERO under number CRD42020165648. The search identified a total of 8903 records. After removing the duplicates and second screening of title, abstract, and full text, a total of 59 articles were included in the analysis. Of these articles, 12 were included in the meta-analysis. Mortality at 1 hour to 6 hours, 24 hours, and 28 days to 30 days was significantly lower for high PLT/RBC ratios as compared with low PLT/RBC ratios. Higher PLT/RBC ratios are associated with significantly lower 1-hour to 6-hour, 24-hour, 28-day to 30-day mortalities as compared with lower PLT/RBC ratios. The optimal PLT/RBC ratio for massive transfusion in trauma patients is approximately 1:1. Systematic review and meta-analysis, therapeutic Level III.

The Algorithm Examining the Risk of Massive Transfusion (ALERT) Score Accurately Predicts Massive Transfusion at the Scene of Injury and on Arrival to the Trauma Bay: A Retrospective Analysis.

Massive transfusion (MT) is required to resuscitate traumatically injured patients with complex derangements. Scoring systems for MT typically require laboratory values and radiological imaging that may delay the prediction of MT. The Trauma ALgorithm Examining the Risk of massive Transfusion (Trauma ALERT) study was an observational cohort study. Prehospital and admission ALERT scores were constructed with logistic regression of prehospital and admission vitals, and FAST examination results. Internal validation was performed with bootstrap analysis and cross-validation. The development cohort included 2,592 patients. Seven variables were included in the prehospital ALERT score: systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), respiratory rate (RR), SpO2, motor Glasgow Coma Scale (GCS) score, and penetrating mechanism. Eight variables from 2,307 patients were included in the admission ALERT score: admission SBP, HR, RR, GCS score, temperature, FAST examination result, and prehospital SBP and DBP.The area under the receiving operator characteristic curve for the prehospital and admission models were 0.754 (95% bootstrapped CI 0.735-0.794, P < 0.001) and 0.905 (95% bootstrapped CI 0.867-0.923, P < 0.001), respectively. The prehospital ALERT score had equivalent diagnostic accuracy to the ABC score (P = 0.97), and the admission ALERT score outperformed both the ABC and the prehospital ALERT scores (P < 0.0001). The prehospital and admission ALERT scores can accurately predict massive transfusion in trauma patients without the use of time-consuming laboratory studies, although prospective studies need to be performed to validate these findings. Early identification of patients who will require MT may allow for timely mobilization of scarce resources and could benefit patients by making blood products available for treating hemorrhagic shock.

The impact of age and receipt antihypertensives to systolic blood pressure and shock index at injury scene and in the emergency department to predict massive transfusion in trauma patients

BackgroundSystolic blood pressure (SBP) and shock index (SI) are accurate indicators of hemodynamic instability and the need for transfusion in trauma patients. We aimed to determine whether the utility and cutoff point for SBP and SI are affected by age and antihypertensives.MethodsThis was a retrospective observational study of a level 1 trauma center between January 2017 and December 2018. We analyzed the utility and cutoff points of SBP and SI for predicting massive transfusion (MT) and 30-day mortality according to patients’ age and whether they were taking antihypertensives. A multivariable logistic regression analysis was conducted to estimate the association of age and antihypertensives on primary and secondary outcomes.ResultsWe analyzed 4681 trauma cases. There were 1949 patients aged 65 years or older (41.6%), and 1375 hypertensive patients (29.4%). MT was given to 137 patients (2.9%). The 30-day mortality rate was 6.3% (n = 294). In geriatric trauma patients taking antihypertensives, a prehospital SBP less than 110 mmHg was the cutoff value for predicting MT in multivariate logistic regression analyses; packed red blood cell transfusion volume decreased abruptly based on prehospital SBP of 110 mmHg. Emergency Department SI greater than 1.0 was the cutoff value for predicting MT in patients who were older than 65 years and were not taking antihypertensives.ConclusionsThe triage of trauma patients is based on the identification of clinical features readily identifiable by first responders. However, age and medications may also affect the accurate evaluation. In initial trauma management, we must apply SBP and SI differently depending on age, whether a patient is taking antihypertensives, and the time at which the indicators are measured.

Reverse shock index multiplied by Glasgow coma scale as a predictor of massive transfusion in trauma.

Previous studies have identified that the reverse shock index multiplied by the Glasgow Coma Scale score (rSIG) is a good predictor of mortality in trauma patients. However, it is unknown if rSIG has utility as a predictor for massive transfusion (MT) in trauma patients. The present study evaluated the ability of rSIG to predict MT in trauma patients. This was a retrospective, observational study performed at a level 1 trauma center. Consecutive patients who presented to the trauma center emergency department between January 2016 and December 2018 were included. The predictive ability of rSIG for MT was assessed as our primary outcome measure. Our secondary outcome measures were the predictive ability of rSIG for coagulopathy, in-hospital mortality, and 24-h mortality. We compared the prognostic performance of rSIG with the shock index, age shock index, and quick Sequential Organ Failure Assessment. In total, 1627 patients were included and 117 (7.2%) patients received MT. rSIG showed the highest area under the receiver operating characteristic (AUROC) curve (0.842; 95% confidence interval [CI], 0.806--0.878) for predicting MT. rSIG also showed the highest AUROC for predicting coagulopathy (0.769; 95% CI, 0.728-0.809), in-hospital mortality (AUROC 0.812; 95% CI, 0.772-0.852), and 24-h mortality (AUROC 0.826; 95% CI, 0.789-0.864). The sensitivity of rSIG for MT was 0.79, and the specificity of rSIG for MT was 0.77. All tools had a high negative predictive value and low positive predictive value. rSIG is a useful, rapid, and accurate predictor for MT, coagulopathy, in-hospital mortality, and 24- h mortality in trauma patients.

Accuracy of CHULA (Class-4 Hemorrhage Unresponsive to Lactated Ringer’s) Criteria for Massive Transfusion Protocol Activation in Trauma Patients

Background: In massive bleeding trauma patients, the use of massive transfusion protocol (MTP) has been shown to improve the outcome. However, the triggers for MTP activation vary among institutions. One of the most commonly used scoring systems to predict massive transfusion (MT) is the assessment of blood consumption (ABC) score. The authors’ institution has used a simple clinical criterion, the Class-4 Hemorrhage Unresponsive to Lactated Ringer’s (CHULA criteria), as a trigger for MTP activation. Objective: To identify the accuracy of CHULA criteria for MTP activation in trauma patients. Materials and Methods: Between April 2013 and April 2016, the authors retrospectively collected the data of trauma patients receiving blood transfusion in the first 24 hours at King Chulalongkorn Memorial Hospital, including demographic data, trauma scores, amount of blood transfusion, and mortality. The detail of CHULA criteria included 1) a patient with clinical signs of Class-4 hemorrhage, 2) not responding to one to two liters of Lactated Ringer’s bolus, and 3) had suspected ongoing bleeding. MT was defined as 1) packed red blood cells (PRC) transfusion of equal to or greater than 10 units in 24 hours, or 2) PRC transfusion of more than four units in the first hour. The accuracy of CHULA criteria for MTP activation was analyzed. Comparison between CHULA criteria and ABC score (of equal to or greater than 2) was also performed. Results: Three hundred fifty-eight patients were included in the present study, 292 males and 66 females. The mechanisms of injury were 68% blunt and 32% penetrating, with an average injury severity score of 21. MTP was activated by CHULA criteria in 100 patients and 73 received MT. Of the 258 patients who did not meet CHULA criteria, five received MT. As a trigger for MT activation, CHULA criteria had sensitivity, specificity, and accuracy of 93.6%, 90.4%, and 91%, respectively; while ABC score had sensitivity, specificity, and accuracy of 62.8%, 78.9%, and 75.4%, respectively. Conclusion: CHULA criteria can predict MT in trauma patients with 91% accuracy. When compared with ABC score, CHULA criteria were not inferior to ABC score in predicting MT. Keywords: Massive transfusion, CHULA criteria, ABC score

Clot activators do not expedite the time to predict massive transfusion in trauma patients analyzed with tissue plasminogen activator thrombelastography

BackgroundTrauma patients with hypersensitivity to tissue plasminogen activator mediated fibrinolysis quantified by tissue plasminogen activator thromboelastography are at increased risk of massive transfusion. The tissue plasminogen activator thromboelastography assay has been tested in trauma patients using native thromboelastography with no exogenous activator. We hypothesize that adding an activator will expedite the time to results. MethodsHealthy whole blood was assayed with and without exogenous plasmin, which acts to deplete inhibitors of fibrinolysis, mimicking trauma blood. Samples were assessed using native, kaolin, and rapid thromboelastography with and without tissue plasminogen activator. The tissue plasminogen activator thromboelastography indices of time to maximum amplitude and lysis at 30 minutes were contrasted between healthy blood with and without plasmin using the three different activators. The activators were then used with a tissue plasminogen activator thromboelastography in 100 trauma patients to assess performance in predicting massive transfusion. ResultsIn healthy blood, regardless of activator, lysis at 30 minutes did not increase with plasmin alone, but did increase with tissue plasminogen activator (P = .012). Adding tissue plasminogen activator and plasmin increased lysis at 30 minutes (P = .036). Time to maximum amplitude was reduced with tissue plasminogen activator and plasmin compared with tissue plasminogen activator alone (P = .012). Activated thromboelastographies had increased lysis at 30 minutes (P = .002), but no difference in time to maximum amplitude compared with native thromboelastographies. In trauma patients, native tissue plasminogen activator thromboelastography had greater performance in predicting massive transfusion than activated tissue plasminogen activator thromboelastographies with no difference in time to maximum amplitude. ConclusionAdding an activator to tissue plasminogen activator thromboelastography does not expedite time to maximum amplitude in healthy blood depleted of fibrinolysis inhibitors. Activated tissue plasminogen activator thromboelastographies are inferior to native tissue plasminogen activator thromboelastography for predicting massive transfusion and do not reduce the time to results.

Prediction of massive transfusion in trauma patients in the surgical intensive care units (THAI-SICU study)

PurposeAfter damage control surgery, trauma patients are transferred to intensive care units to restore the physiology. During this period, massive transfusion might be required for ongoing bleeding and coagulopathy. This research aimed to identify predictors of massive blood transfusion in the surgical intensive care units (SICUs). MethodsThis is an analysis of the THAI-SICU study which was a prospective cohort that was done in the 9-university-based SICUs in Thailand. The study included only patients admitted due to trauma mechanisms. Massive transfusion was defined as received ≥10 units of packed red blood cells on the first day of admission. Patient characteristics and physiologic data were analyzed to identify the potential factors. A multivariable regression was then performed to identify the significant model. ResultsThree hundred and seventy patients were enrolled. Sixteen patients (5%) received massive transfusion in the SICUs. The factors that significantly predicted massive transfusion were an initial sequential organ failure assessment (SOFA) ≥9 (risk difference (RD) 0.13, 95% confidence interval (CI): 0.03–0.22, p = 0.01); intra-operative blood loss ≥ 4900 mL (RD 0.33, 95% CI: 0.04–0.62, p = 0.02) and intra-operative blood transfusion ≥ 10 units (RD 0.45, 95% CI: 0.06 to 0.84, p = 0.02). The probability to have massive transfusion was 0.976 in patients who had these 3 factors. ConclusionMassive blood transfusion in the SICUs occurred in 5%. An initial SOFA ≥9, intra-operative blood loss ≥4900 mL, and intra-operative blood transfusion ≥10 units were the significant factors to predict massive transfusion in the SICUs.

Shock index increase from the field to the emergency room is associated with higher odds of massive transfusion in trauma patients with stable blood pressure: A cross-sectional analysis.

BackgroundThe shock index (SI) is defined as the ratio of heart rate/systolic blood pressure. This study aimed to determine the performance of delta shock index (ΔSI), a difference between SI upon arrival at the emergency room (ER) and that in the field, in predicting the need for massive transfusion (MT) among adult trauma patients with stable blood pressure.MethodsThis study included registered data from all trauma patients aged 20 years and above who were hospitalized from January 1, 2009 to December 31, 2016. Only patients who were transferred by emergency medical service from the accident site with a systolic blood pressure ≥ 90 mm Hg at the ER were included. The 7,957 enrolled trauma patients were divided into 2 groups, those who had received blood transfusion ≥ 10 U (MT, n = 82) and those who had not (non-MT, n = 7,875). The odds ratios with 95% confidence intervals for the need for MT by a given ΔSI were measured. The plot of specific receiver operating characteristic (ROC) curves was used to evaluate the best cutoff point of ΔSI that could predict the patient’s probability of receiving MT.ResultsROC curve analysis showed that a ΔSI of 0.06 as the cutoff point had the highest AUC of 0.61, with a sensitivity of 0.415 and specificity of 0.841. Patients with a ΔSI ≥ 0.00 had a significant 1.8-fold increase in need for MT than those patients with a ΔSI less than 0.00 (1.4% vs. 0.8%, p = 0.01). The larger the ΔSI, the higher the odds of need for an MT. Using the cutoff point of ΔSI of 0.06, patients with a ΔSI ≥ 0.06 had a significant 3.7-fold increase in need for MT than those patients with a ΔSI less than 0.06 (2.7% vs. 0.7%, p < 0.001).ConclusionsThis study indicated that, in trauma patients with stable blood pressure at the ER, the accuracy of prediction of the requirement for MT by ΔSI is low. However, the size of the delta is significantly associated with need for MT and a lack of improvement in the patient’s SI at the ER compared to that in the field significantly increases the odds of a need for MT.

Prehospital shock index, modified shock index, and pulse pressure heart rate ratio as predictors of massive blood transfusions in modern warfare injuries: A retrospective analysis

BackgroundMassive hemorrhage is the leading preventable cause of death in modern warfare injuries. Early and accurate detection of source of hemorrhage and massive blood transfusions remain the mainstay of management in such cases. Hemodynamic indices like shock index (SI), modified shock index (MSI), and pulse pressure heart rate (PP/HR) ratio have shown promising results in predicting massive transfusion in trauma patients. The present study aimed at assessing the accuracy of SI, MSI, and PP/HR ratio to predict the requirement of massive blood transfusions. MethodsA retrospective analysis was done from 1st January 2016 to 31st December 2016 of the data taken from the trauma register of our hospital. Data were analyzed, and scores of SI, MSI, and PP/HR ratio were evaluated using area under receiver operating curves (AUROCs). Massive transfusion was defined as requirement of ≥10 packed red blood cells (PRBCs) in the first 24 hours or ≥4 PRBCs in first hour of hospital admission. ResultsOf the 326 warfare casualties received, a total of 254 patients were enrolled, and 51(23%) patients required massive transfusion on arrival. SI had an AUROC value of 0.798 (95% confidence interval [CI] = 0.739–0.848) which is comparable to MSI at 0.787 (95% CI = 0.728–0.839) and PP/HR ratio with a value of 0.744 (95% CI = 0.681–0.800), (p<0.001). ConclusionSI, MSI, and PP/HR ratio are equally efficient in predicting massive transfusion in warfare injuries and can be used as rapidly available marker for prediction of massive transfusion in warfare injuries which can be lifesaving and time-saving.

Outcomes After Massive Transfusion in Trauma Patients: Variability Among Trauma Centers

BackgroundExsanguinating trauma patients often require massive blood transfusion (defined as transfusion of 10 or more pRBC units within first 24 h). The aim of our study is to assess the outcomes of trauma patients receiving massive transfusion at different levels of trauma centers. MethodsTwo-y (2013-2014) retrospective analysis of the American College of Surgeons Trauma Quality Improvement Program. We included all adult trauma patients who received massive transfusion (MT) of blood. Outcome measures were mortality, hospital length of stay, intensive care unit–free and ventilator-free days, blood products received, and complications. ResultsWe analyzed a total of 416,957 patients, of which 2776 met the inclusion criteria and included in the study. Mean age was 40.6 ± 20 y, 78.3% were males and 33.1% of the injuries were penetrating. Median injury severity score [IQR] was 29 [18-40], median [IQR] Glasgow Coma Scale 10[4-15]. Mean packed red blood cells transfusion in the first 24 h was 20 ± 13 units and mean plasma transfusion was 13 ± 11 units. Overall in-hospital mortality was 43.5%. Receiving MT in level I trauma center was independently associated with lower rates of mortality (odds ratio [OR]: 0.75 [0.46-0.96], P < 0.001). Higher injury severity score (OR: 1.020 [1.010-1.030], P < 0.001) and increased units of packed red blood cells transfused (OR: 1.067 [1.041-1.093], P < 0.001) were independently associated with increased mortality. However, there was no association between teaching status, age, gender, emergency department vitals, and units of plasma transfused. ConclusionsHemorrhage continues to remain one of the most common cause of death after trauma. Almost half of the patients who received massive transfusion died. Patients who receive massive blood transfusion in a level I trauma centers have improved survival compared with level II trauma centers.

Point-of-Care Testing in Trauma Patients - Methods and Evidence

In severely injured patients, trauma-induced coagulopathy (TIC) present at hospital admission is associated with increased transfusion requirements, morbidity and mortality. Early and effective treatment contributes to improved survival rates. Laboratory coagulation assays have long turn-around times and evidence for their usefulness, especially in the context of TIC, is weak. Due to the lack of appropriate guidance, transfusion of allogeneic blood products frequently follows a ratio-based concept (e.g., transfusion of erythrocytes and plasma in a 1 : 1 ratio). Point-of-care (PoC) tests enable the assessment of prothrombin time (PT) and activated partial thromboplastin time in few minutes. However, although normal PT in these tests allows to rule out relevant effects of several anticoagulants, they are not able to detect patients with TIC and/or requiring subsequent massive transfusion. Viscoelastic tests (VETs) make it possible to assess defects in thrombin generation, hypofibrinogenaemia, thrombocytopenia, and hyperfibrinolysis, and thus enable targeted therapy. Impairment of platelet function is the common blind spot not detectable using both standard laboratory-based tests and VETs. However, PoC platelet function tests enable to detect platelet defects and patients taking anti-platelet. Furthermore, impaired platelet function has been identified as a strong predictor for coagulopathy and massive transfusion in trauma patients. In other clinical settings, coagulation management based on VETs is associated with decreased transfusion requirements, incidence of acute kidney failure, and mortality, respectively. Data of the first small prospective randomised trial indicate superiority of VET guided coagulation management solely using coagulation factor concentrates, when compared to plasma transfusions in severe trauma.

Accuracy of shock index versus ABC score to predict need for massive transfusion in trauma patients

BackgroundVarious scoring systems have been developed to predict need for massive transfusion in traumatically injured patients. Assessments of Blood Consumption (ABC) score and Shock Index (SI) have been shown to be reliable predictors for Massive Transfusion Protocol (MTP) activation. However, no study has directly compared these two scoring systems to determine which is a better predictor for MTP activation. The primary objective was to determine whether ABC or SI better predicted the need for MTP in adult trauma patients with severe hemorrhage. MethodsThis was a retrospective cohort study which included all injured patients who were trauma activations between January 1, 2009 and December 31, 2013 at an urban Level I trauma center. Patients <18 years old or with traumatic brain injury (TBI) were excluded. ABC and SI were calculated for each patient. MTP was defined as need for >10 units PRBC transfusion within 24h of emergency department arrival. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) were used to evaluate scoring systems’ ability to predict effective MTP utilization. ResultsA total of 645 patients had complete data for analysis. Shock Index ≥1 had sensitivity of 67.7% (95% CI 49.5%–82.6%) and specificity of 81.3% (95% CI 78.0%–84.3%) for predicting MTP, and ABC score ≥2 had sensitivity of 47.0% (95% CI 29.8%–64.9%) and specificity of 89.8% (95% CI 87.2%–92.1%). AUROC analyses showed SI to be the strongest predictor followed by ABC score with AUROC values of 0.83 and 0.74, respectively. SI had a significantly greater sensitivity (P=0.035), but a significantly weaker specificity (P<0.001) compared to ABC score. ConclusionABC score and Shock Index can both be used to predict need for massive transfusion in trauma patients, however SI is more sensitive and requires less technical skill than ABC score.

Arginine vasopressin, copeptin, and the development of relative AVP deficiency in hemorrhagic shock

BackgroundArginine vasopressin (AVP) is critical for maintaining vasomotor tone and low levels have been associated with the development of irreversible shock. We investigated the clinical relationship between AVP, copeptin (the C-terminal fragment of the AVP precursor), and the development of relative AVP deficiency following hemorrhagic shock. MethodsA prospective, observational study of 21 hypotensive (SBP<90 mmHg X 2) or presumptively bleeding trauma patients was conducted. Demographics, mechanism of injury, vital signs, laboratory values, transfusions, crystalloid volume, and blood samples were collected on arrival and serially for 48 h. AVP and copeptin were measured post hoc. ResultsAVP and copeptin levels were markedly elevated on admission, but decreased rapidly over time (p < 0.001). AVP and copeptin levels were positively correlated on admission (r = 0.769, p < 0.001), in the ICU (r = 0.768, p < 0.001), and at 48 h (r = 0.537, p = 0.02). Initial AVP and copeptin levels predicted the need for ≥10 unit blood product transfusion (AUC = 81% and 87%, respectively). The development of a relative AVP deficiency occurred frequently and was associated with an increased need for blood product transfusion. ConclusionCopeptin correlates well with AVP and initial values predict the need for massive transfusion in trauma patients. Copeptin demonstrates promise as a clinical biomarker in hemorrhagic shock.

Lactate as an Early Predictor for Early Massive Transfusion in Trauma Patients: A Retrospective Study

Objective Transfusion is a key treatment for patients with hemorrhage. Early massive transfusion (EMT) is defined as transfusion of 10 or more units of red blood cells (RBC) within the first 6 hours. We attempted to determine whether metabolic markers can be used as predictors for EMT. Method We retrospectively reviewed outcomes in 71 patients who visited the emergency department within 12 hours after trauma and received at least 1 unit of RBC within 24 hours between January 2008 and June 2010. Results Of the 71 patients, 54 were male and 17 were female; their mean age was 50.3±17.7 years. Of these, 15 required EMT and 56 did not; these patients received 17.7±13.1 and 2.8±2.3 units of RBCs, respectively. There were significant differences between EMT and non-EMT groups in injury severity score (ISS; p=0.001), systolic blood pressure (SBP; p=0.010), base deficit (p=0.003), and lactate concentration (p=0.001). Logistic regression analysis showed that SBP &lt;90 mmHg (odds ratio [OR] 11.71, 95% CI 1.83-74.77, p=0.009), ISS ≥25 (OR 23.39, 95% CI 1.87-293.23, p=0.015), and lactate ≥3.5 mmol/L (OR 6.99, 95% CI 1.10-44.33, p=0.039) were significant predictors of EMT. The area under the curve for ≥3.5 mmol/L lactate was 0.79 (p=0.001), with a sensitivity of 76.7% and a specificity of 67.8%. The 30-day mortality rate was significantly higher in patients with lactate ≥3.5 mmol/L than in those with lactate &lt;3.5 mmol/L (p=0.002). Conclusion Lactate concentration is an important predictor of the need for EMT and should be considered in the initial phase of trauma resuscitation to prepare for massive transfusion.

Prediction of Massive Transfusion in Trauma Patients with Shock Index, Modified Shock Index, and Age Shock Index

Objectives: The shock index (SI) and its derivations, the modified shock index (MSI) and the age shock index (Age SI), have been used to identify trauma patients with unstable hemodynamic status. The aim of this study was to evaluate their use in predicting the requirement for massive transfusion (MT) in trauma patients upon arrival at the hospital. Participants: A patient receiving transfusion of 10 or more units of packed red blood cells or whole blood within 24 h of arrival at the emergency department was defined as having received MT. Detailed data of 2490 patients hospitalized for trauma between 1 January 2009, and 31 December 2014, who had received blood transfusion within 24 h of arrival at the emergency department, were retrieved from the Trauma Registry System of a level I regional trauma center. These included 99 patients who received MT and 2391 patients who did not. Patients with incomplete registration data were excluded from the study. The two-sided Fisher exact test or Pearson chi-square test were used to compare categorical data. The unpaired Student t-test was used to analyze normally distributed continuous data, and the Mann-Whitney U-test was used to compare non-normally distributed data. Parameters including systolic blood pressure (SBP), heart rate (HR), hemoglobin level (Hb), base deficit (BD), SI, MSI, and Age SI that could provide cut-off points for predicting the patients’ probability of receiving MT were identified by the development of specific receiver operating characteristic (ROC) curves. High accuracy was defined as an area under the curve (AUC) of more than 0.9, moderate accuracy was defined as an AUC between 0.9 and 0.7, and low accuracy was defined as an AUC less than 0.7. Results: In addition to a significantly higher Injury Severity Score (ISS) and worse outcome, the patients requiring MT presented with a significantly higher HR and lower SBP, Hb, and BD, as well as significantly increased SI, MSI, and Age SI. Among these, only four parameters (SBP, BD, SI, and MSI) had a discriminating power of moderate accuracy (AUC > 0.7) as would be expected. A SI of 0.95 and a MSI of 1.15 were identified as the cut-off points for predicting the requirement of MT, with an AUC of 0.760 (sensitivity: 0.563 and specificity: 0.876) and 0.756 (sensitivity: 0.615 and specificity: 0.823), respectively. However, in the groups of patients with comorbidities such as hypertension, diabetes mellitus, or coronary artery disease, the discriminating power of these three indices in predicting the requirement of MT was compromised. Conclusions: This study reveals that the SI is moderately accurate in predicting the need for MT. However, this predictive power may be compromised in patients with HTN, DM or CAD. Moreover, the more complex calculations of MSI and Age SI failed to provide better discriminating power than the SI.

Relationship between Obesity and Massive Transfusion Needs in Trauma Patients, and Validation of TASH Score in Obese Population: A Retrospective Study on 910 Trauma Patients.

BackgroundPrediction of massive transfusion (MT) is challenging in management of trauma patients. However, MT and its prediction were poorly studied in obese patients. The main objective was to assess the relationship between obesity and MT needs in trauma patients. The secondary objectives were to validate the Trauma Associated Severe Hemorrhage (TASH) score in predicting MT in obese patients and to use a grey zone approach to optimize its ability to predict MT.Methods and FindingsAn observational retrospective study was conducted in a Level I Regional Trauma Center Trauma in obese and non-obese patients. MT was defined as ≥10U of packed red blood cells in the first 24h and obesity as a BMI≥30kg/m². Between January 2008 and December 2012, 119 obese and 791 non-obese trauma patients were included. The rate of MT was 10% (94/910) in the whole population. The MT rate tended to be higher in obese patients than in non-obese patients: 15% (18/119, 95%CI 9‒23%) versus 10% (76/791, 95%CI 8‒12%), OR, 1.68 [95%CI 0.97‒2.92], p = 0.07. After adjusting for Injury Severity Score (ISS), obesity was significantly associated with MT rate (OR, 1.79[95%CI 1.00‒3.21], p = 0.049). The TASH score was higher in the obese group than in the non-obese group: 7(4–11) versus 5(2–10)(p<0.001). The area under the ROC curves of the TASH score in predicting MT was very high and comparable between the obese and non-obese groups: 0.93 (95%CI, 0.89‒0.98) and 0.94 (95%CI, 0.92‒0.96), respectively (p = 0.80). The grey zone ranged respectively from 10 to 13 and from 9 to 12 in obese and non obese patients, and allowed separating patients at low, intermediate or high risk of MT using the TASH score.ConclusionsObesity was associated with a higher rate of MT in trauma patients. The predictive performance of the TASH score and the grey zones were robust and comparable between obese and non-obese patients.