Prediction Of Massive Transfusion Research Articles

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.

Prehospital National Early Warning Score as a predictor of massive transfusion in adult trauma patients

BackgroundPrevious studies have shown that an elevated prehospital National Early Warning Score (preNEWS) is associated with increased levels of adverse outcomes in patients with trauma. However, whether preNEWS is a predictor of massive transfusion (MT) in patients with trauma is currently unknown. This study investigated the accuracy of preNEWS in predicting MT and hospital mortality among trauma patients. MethodsWe analyzed adult trauma patients who were treated and transported by emergency medical services (EMS) between January 2018 and December 2019. The main exposure was the preNEWS calculated for the scene. The primary outcome was the predictive ability for MT, and the secondary outcome was 24 h mortality. We compared the prognostic performance of preNEWS with the shock index, modified shock index, and reverse shock index, and reverse shock index multiplied by Glasgow Coma Scale in the prehospital setting. ResultsIn total, 41,852 patients were included, and 1456 (3.5%) received MT. preNEWS showed the highest area under the receiver operating characteristic (AUROC) curve for predicting MT (0.8504; 95% confidence interval [CI], 0.840–0.860) and 24 h mortality (AUROC 0.873; 95% CI, 0.863–0.883). The sensitivity of preNEWS for MT was 0.755, and the specificity of preNEWS for MT was 0.793. All indicies had a high negative predictive value and low positive predictive value. ConclusionpreNEWS is a useful, rapid predictor for MT and 24 h mortality. Calculation of preNEWS would be helpful for making the decision at the scene such as transfer straightforward to trauma center and advanced treatment.

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.

Shock index as predictor of massive transfusion and mortality in patients with trauma: a systematic review and meta-analysis

BackgroundManagement of bleeding trauma patients is still a difficult challenge. Massive transfusion (MT) requires resources to ensure the safety and timely delivery of blood products. Early prediction of MT need may be useful to shorten the time process of blood product preparation. The primary aim of this study was to assess the accuracy of shock index to predict the need for MT in adult patients with trauma. For the same population, we also assessed the accuracy of SI to predict mortality.MethodsThis systematic review and meta-analysis was performed in accordance with the PRISMA guidelines. We performed a systematic search on MEDLINE, Scopus, and Web of Science from inception to March 2022. Studies were included if they reported MT or mortality with SI recorded at arrival in the field or the emergency department. The risk of bias was assessed using the QUADAS-2.ResultsThirty-five studies were included in the systematic review and meta-analysis, for a total of 670,728 patients. For MT the overall sensibility was 0.68 [0.57; 0.76], the overall specificity was 0.84 [0.79; 0.88] and the AUC was 0.85 [0.81; 0.88]. Positive and Negative Likelihood Ratio (LR+; LR−) were 4.24 [3.18–5.65] and 0.39 [0.29–0.52], respectively. For mortality the overall sensibility was 0.358 [0.238; 0.498] the overall specificity 0.742 [0.656; 0.813] and the AUC 0.553 (confidence region for sensitivity given specificity: [0.4014; 0.6759]; confidence region for specificity given sensitivity: [0.4799; 0.6332]). LR+ and LR− were 1.39 [1.36–1.42] and 0.87 [0.85–0.89], respectively.ConclusionsOur study demonstrated that SI may have a limited role as the sole tool to predict the need for MT in adult trauma patients. SI is not accurate to predict mortality but may have a role to identify patients with a low risk of mortality.

Prediction of massive transfusion with the Revised Assessment of Bleeding and Transfusion (RABT) score at Canadian level I trauma centers

BackgroundEarly damage control resuscitation and massive transfusion (MT) protocol activations improve outcomes in trauma patients with hemorrhagic shock, where scores to guide MT prediction are used including: the Assessment of Blood Consumption (ABC), Shock Index (SI), and Revised Assessment of Bleeding and Transfusion (RABT) scores. Our aim was to validate the RABT score in patients from two level I trauma centers in Canada. MethodsA retrospective review of adult patients meeting trauma team activation criteria receiving >1 unit of red blood cells (RBCs) within 24 h of admission, from 2015 to 2020, was conducted. A RABT score ≥ 2, ABC score ≥ 2, and Shock Index (SI) ≥ 1 was used to predict MT using both research (≥10 RBCs in 24 h) and clinical (≥3 RBCs in 3 h) definitions. Scores were assessed and compared using sensitivity, specificity, and the area under the receiver operating characteristic (AUROC). ResultsWe analyzed 514 patients with a mean age of 44.4 (19.2) years and a median injury severity score of 29 [18–38]. For both MT definitions, the RABT score trended towards higher sensitivity and lower specificity compared to ABC score and SI. For both research and clinical definitions of MT, the AUROC for the RABT score was not significantly higher (Research - RABT: 0.673 [0.610–0.735], ABC: 0.642 [0.551–0.734], SI 0.691 [0.625–0.757]; Clinical - RABT: 0.653 [0.608–0.698], ABC: 0.646 [0.600–0.691], SI 0.610 [0.559–0.660]). ConclusionThe RABT score is a valid tool for predicting the need for MTPs, performing similarly with a trend towards higher sensitivity when compared to the ABC score and SI.

A pilot study of deep learning-based CT volumetry for traumatic hemothorax.

We employ nnU-Net, a state-of-the-art self-configuring deep learning-based semantic segmentation method for quantitative visualization of hemothorax (HTX) in trauma patients, and assess performance using a combination of overlap and volume-based metrics. The accuracy of hemothorax volumes for predicting a composite of hemorrhage-related outcomes - massive transfusion (MT) and in-hospital mortality (IHM) not related to traumatic brain injury - is assessed and compared to subjective expert consensus grading by an experienced chest and emergency radiologist. The study included manually labeled admission chest CTs from 77 consecutive adult patients with non-negligible (≥ 50mL) traumatic HTX between 2016 and 2018 from one trauma center. DL results of ensembled nnU-Net were determined from fivefold cross-validation and compared to individual 2D, 3D, and cascaded 3D nnU-Net results using the Dice similarity coefficient (DSC) and volume similarity index. Pearson's r, intraclass correlation coefficient (ICC), and mean bias were also determined for the best performing model. Manual and automated hemothorax volumes and subjective hemothorax volume grades were analyzed as predictors of MT and IHM using AUC comparison. Volume cut-offs yielding sensitivity or specificity ≥ 90% were determined from ROC analysis. Ensembled nnU-Net achieved a mean DSC of 0.75 (SD: ± 0.12), and mean volume similarity of 0.91 (SD: ± 0.10), Pearson r of 0.93, and ICC of 0.92. Mean overmeasurement bias was only 1.7mL despite a range of manual HTX volumes from 35 to 1503mL (median: 178mL). AUC of automated volumes for the composite outcome was 0.74 (95%CI: 0.58-0.91), compared to 0.76 (95%CI: 0.58-0.93) for manual volumes, and 0.76 (95%CI: 0.62-0.90) for consensus expert grading (p = 0.93). Automated volume cut-offs of 77mL and 334mL predicted the outcome with 93% sensitivity and 90% specificity respectively. Automated HTX volumetry had high method validity, yielded interpretable visual results, and had similar performance for the hemorrhage-related outcomes assessed compared to manual volumes and expert consensus grading. The results suggest promising avenues for automated HTX volumetry in research and clinical care.

Resuscitation Patterns and Massive Transfusion for the Critical Bleeding Dog-A Multicentric Retrospective Study of 69 Cases (2007-2013).

Objective: To describe resuscitation patterns of critically bleeding dogs, including those receiving massive transfusion (MT).Design: Retrospective study from three universities (2007–2013).Animals: Critically bleeding dogs, defined as dogs who received ≥ 25 ml/kg of blood products for treatment of hemorrhagic shock caused by blood loss.Measurements and Main Results: Sixty-nine dogs were included. Sources of critical bleeding were trauma (26.1%), intra/perioperative surgical period (26.1%), miscellaneous (24.6%), and spontaneous hemoabdomen (23.1%). Median (range) age was 7 years (0.5–18). Median body weight was 20 kg (2.6–57). Median pre-transfusion hematocrit, total protein, systolic blood pressure, and lactate were 25% (10–63), 4.1 g/dl (2–7.1), 80 mm Hg (20–181), and 6.4 mmol/L (1.1–18.2), respectively. Median blood product volume administered was 44 ml/kg (25–137.4). Median plasma to red blood cell ratio was 0.8 (0–4), and median non-blood product resuscitation fluid to blood product ratio was 0.5 (0–3.6). MT was given to 47.8% of dogs. Survival rate was 40.6%. The estimated odds of survival were higher by a factor of 1.8 (95% CI: 1.174, 3.094) for a dog with 1 g/dl higher total protein above reference interval and were lower by a factor of 0.6 (95% CI: 0.340, 0.915) per 100% prolongation of partial thromboplastin time above the reference interval. No predictors of MT were identified.Conclusions: Critical bleeding in dogs was associated with a wide range of resuscitation patterns and carries a guarded to poor prognosis.

It is time for TEG in pediatric trauma: unveiling meaningful alterations in children who undergo massive transfusion.

BackgroundHemorrhage is the leading cause of preventable death in pediatric trauma patients. In adults, goal-directed thrombelastography (TEG) has been shown to reduce mortality when used to guide massive transfusion (MT) resuscitation. There remains a paucity of data on the utility of TEG in directing resuscitation of pediatric trauma patients. We hypothesize that abnormalities on admission TEG will differ in pediatric trauma patients who undergo MT, compared to those who do not.MethodsPediatric patients (≤ 18 years) who were highest level trauma activations at two trauma centers from 2015 to 2018 were analyzed. We included patients who had admission TEGs and excluded those who did not. Patients were stratified into two groups: those who received MT (> 40 cc/kg total blood product within 6 h of admission) and those who did not. We defined TEG abnormalities based on each institution’s normative values and compared TEG abnormalities between the groups.ResultsOf 117 children included, 39 had MT. MT patients had higher injury severity scores (30 vs. 23, p = 0.0004), lactates levels (7.0 vs. 3.5, p < 0.001), base deficit levels ( − 12.2 vs. − 5.8, p < 0.001), and INR values (1.8 vs. 1.3, p < 0.001). MT patients had significantly shortened alpha-angles (35.9% vs. 15.4%, p = 0.023), maximum amplitude (MA) values (43.6% vs. 10.3%, p < 0.001), and significantly lower platelet counts (165 vs. 281, p < 0.001) compared to those who did not receive MT. There was no difference in the trends in R-time, LY30 (lysis or shutdown), or fibrinogen concentration between the groups. Logistic regression identified a decreased MA as a significant predictor for MT [OR 3.68 (CI 1.29–10.52)]ConclusionsPediatric trauma patients who undergo MT are more likely to have lower alpha-angles and MA values, as well as lower platelet counts. These findings support the use of TEG to identify hemorrhaging pediatric trauma patients, who may benefit from cryoprecipitate and/or platelet transfusions. TEG provides real-time information on coagulation status, which may expedite the delivery of specific blood products during trauma resuscitation.Level of evidence: Level IIIType of study: Retrospective comparative study.

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.

The association between diastolic blood pressure and massive transfusion in severe trauma: a retrospective single-center study.

To evaluate the association between diastolic blood pressure and massive transfusion in severe trauma. The retrospective study was conducted at a tertiary emergency medical centre in Gwangju , Republic of Korea, and comprised data of severe trauma patients with injury severity score >15 presenting between January 2016 and December 2017. Multivariate logistic regression analysis was performed to evaluate the association between diastolic blood pressure and massive transfusion. Receiver operating characteristic curve analysis was performed to estimate the prognostic performance of diastolic blood pressure. Data was analysed using SPSS 18. Of the 827 patients, 64(7.7%) underwent massive transfusion. After adjusting the confounders, diastolic blood pressure was found to be an independent factor in predicting massive transfusion (odds ratio: 0.965; 95% confidence interval: 0.956-0.975). Initially low diastolic blood pressure was found to be an independent predictor for massive transfusion in severe trauma cases.

Massive transfusion prediction in patients with multiple trauma by decision tree: a retrospective analysis.

Early initial massive transfusion protocol and blood transfusion can reduce patient mortality, however accurately identifying the risk of massive transfusion (MT) remains a major challenge in severe trauma patient therapy. We retrospectively analyzed clinical data of severe trauma patients with and without MT. Based on analysis results, we established a MT prediction model of clinical and laboratory data by using the decision tree algorithm in patients with multiple trauma. Our results demonstrate that shock index, injury severity score, international normalized ratio, and pelvis fracture were the most significant risk factors of MT. These four indexes were incorporated into the prediction model, and the model was validated by using the testing dataset. Moreover, the sensitivity, specificity, accuracy and area under curve values of prediction model for MT risk prediction were 60%, 92%, 90% and 0.85. Our study provides an easy and understandable classification rules for identifying risk factors associated with MT that may be useful for promoting trauma management.

Shock Index as a Predictor of Massive Transfusion and Emergency Surgery on the Modern Battlefield

BackgroundShock Index (SI) has been used to predict the need for massive transfusion (MT) and emergency surgical procedures (ESP) in civilian trauma. We hypothesize that SI can reliably identify combat trauma patients that will require MT and ESP when applied to the resource-constrained, combat environment. MethodsA retrospective review was performed within the Department of Defense Trauma Registry (2008-2016). SI was calculated using heart rate and systolic blood pressure on arrival to the initial facility with surgical capabilities. A threshold value of 0.8 was used to stratify patients into two groups (Group I, SI < 0.8; and Group II, SI ≥ 0.8). The need for MT, ESP, and mortality was compared. Regression analyses were conducted to determine the independent association of SI with MT and ESP. ResultsA total of 4008 patients were included. The mean age of the patients was 25.5 y, and the majority were predominately male (98%). Mechanisms of injury were blunt and blast injury (62%), penetrating injury (36.7%), and burn injury (0.5%). Overall, 77% of patients (n = 3070) were stratified to Group I, and 23% of patients (n = 938) were stratified to Group II, by SI. Group II patients had a significantly greater need for MT (8.4% versus 0.4%) and ESP (30.7% versus 6.5%), both P < 0.001. Regression analysis controlling for age, gender, Injury Severity Score, and Glasgow Coma Score confirmed that SI ≥ 0.8 was an independent risk factor for both MT and need for ESPs (P < 0.001). ConclusionsSI is a significant predictor of the need for MT and ESPs in the military trauma population, representing a simple and potentially potent tool for triage and prediction of resource consumption in the resource-limited, austere setting.

Higher enhanced computed tomography attenuation value of the aorta is a predictor of massive transfusion in blunt trauma patients.

ObjectiveSeveral scoring systems have been developed to identify patients who require massive transfusion (MT) after major trauma to improve survival. The primary goal of this study was to investigate the usefulness of enhanced computed tomography attenuation values (CTAVs) of major vessels to determine the need for MT in patients with major blunt trauma.MethodsThis single-center retrospective cohort study evaluated patients aged 16 years or older who underwent contrast-enhanced computed tomography scan of the torso after major blunt trauma. The CTAVs of six major vessel points in both the arterial and portal venous phases at initial computed tomography examination were assessed and compared between the MT and the no MT group. The capability of enhanced CTAVs to predict the necessity for MT was estimated based on the area under the receiver operating characteristic curve.ResultsOf the 254 eligible patients, 36 (14%) were in the MT group. Patients in the MT group had significantly higher CTAVs at all sites except the inferior vena cava in both the arterial and portal venous phases than that in the no MT group. The descending aorta in the arterial phase had the highest accuracy for predicting MT, with an AUROC of 0.901 (95% confidence interval, 0.855 to 0.947; P<0.001).ConclusionInitial elevation of enhanced CTAV of the aorta is a predictor for the need for MT. A higher CTAV of the aorta should alert the trauma surgeon or emergency physician to activate their MT protocol.

The ABC-D score improves the sensitivity in predicting need for massive transfusion in pediatric trauma patients

PurposeEarly and accurate identification of pediatric trauma patients who will require massive transfusion (MT) remains difficult, and MT activation criteria are not well established. In children, the addition of shock index-pediatric age-adjusted (SIPA) to the ABC score (ABC-S) only modestly improves the sensitivity of the ABC score. We hypothesized that the discriminate ability of the ABC-S score would improve with the addition of elevated serum lactate and base deficit (ABCD score). MethodsWe identified children between 1 and 18 years old who received a pRBC transfusion between 2008 and 2018 from our trauma registry. We calculated sensitivity, specificity, and accuracy of the ABC, ABC-S, and ABCD scores to determine the need for MT. ResultsWe included 211 children, of which 66 required MT. The best predictor of MT was achieved by adding BD and lactate to the ABC-S score, with an AUC of 0.805. An ABCD score of 3 or greater was 77.4% sensitive and 78.8% specific at predicting the need for MT. Pediatric trauma patients that required MT had higher injury severity score (p = 0.005), lactate (p = 0.002), base deficit (p = <0.0001). Mortality was higher in the MT group (45.5% vs 15.3%, p = 0.0004). ConclusionsThe ABCD score improves the sensitivity of activating MT in pediatric trauma patients. Study TypeTreatment Study. Level of EvidenceLevel III.

Fibrinogen level on admission is a predictive marker of the need for massive blood transfusion after pelvic fracture

ObjectiveThis study aimed to evaluate the usefulness of coagulation biomarkers as predictors of the need for massive transfusion (MT) in patients with pelvic fractures. MethodsPatients who were treated for pelvic fractures in our hospital were divided into 2 groups: MT and non-MT. MT was defined as the transfusion of packed red blood cells (PRBCs) ≧10 units caused by bleeding within 24 h after admission. We compared variables between two groups, including vital signs, the scoring system and blood sample test. Additionally, we performed a multiple logistic regression analysis and a receiver operating characteristic curve analysis to reveal which value was the most useful predictive marker for MT in patients with pelvic fracture. ResultsThere were 22 patients in the MT group and 78 patients in the non-MT group. Patients in the MT group had significantly higher ISS than did those in the non-MT group. In contrast, the patients in the MT group had significantly lower RTS, TRISS Ps, sBP, Hb, lactate, BE, and Fbg levels. Lower sBP and Fbg levels were independent predictors for MT. The optimal cut-off values for sBP and Fbg levels were ≦109 mmHg and 193.0 mg/dL, respectively. ConclusionsThe results of the study indicated that Fbg levels on admission can be an independent predictor of MT in patients with pelvic fractures. The optimal cut-off value of Fbg for MT prediction in this study was 193.0 mg/dL.

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.

Abstract 04: The Most Accurate Massive Transfusion Prediction Score at the Scene of Injury: The Pre-Hospital Traumatic Bleeding Severity Score

Background: Determination of the need for massive transfusion (MT) at the scene of injury is ideal for early activation of a MT protocol. We created and reported The Pre-hospital Traumatic Bleeding Severity Score (ph-TBSS) that is a simple and highly accurate scoring system to predict the need for MT at the scene of injury. However, the comparison study about the predictive value between the ph-TBSS and other MT predictors is not performed. Patients and Methods: A diagnostic comparison study using the registry data of the Gunma Prefectural Helicopter Emergency Medical Service (HEMS) was conducted. Records between Sep. 2012 and Apr. 2017 were reviewed, and adult trauma patients transported by the HEMS were included. A physician in the HEMS is always on board, primary survey including abdominal sonography scanning is performed at the scene of injury, and lactate was measured by portable equipment. The potential predictors of MT (10 units or more of packed red blood cells transfusion within 24 hours of injury) at the scene of injury were defined as following; The ph-TBSS, Assessment of Blood Consumption (ABS) score, the shock index, lactate concentration, and the presence of cold sweat. Each predictor was retrospectively calculated or reviewed from the registry data. Each predictive value was analyzed by the area under the receiver operating characteristic curve (AUROC) and the AUROC comparison analysis was performed. Results: 1025 patients were analyzed. Each AUROC for MT was following; ph-TBSS vs ABC score vs shock index vs lactate concentration vs presence of cold sweat = 0.97 [0.96-0.98] vs 0.83 [0.81-0.85] vs 0.89 [0.87-0.91] vs 0.91 [0.90-0.93] vs 0.70 [0.67-0.72]. The AUROC of the ph-TBSS was significantly higher compared to the AUROC of the other predictors (Bonferroni adjusted p&lt;0.01). Conclusion: At the scene of injury, the ph-TBSS represented the highest predictive value for MT, compared to the ABC score, shock index, lactate concentration, or presence of cold sweat.

Rapid TEG efficiently guides hemostatic resuscitation in trauma patients

BackgroundSeveral thrombelastography functional assays have been developed to guide transfusion in injured patients, but how this acceleration of thrombelastography affects its ability to predict massive transfusion is unknown. The objective of this study is to compare citrated native, citrated kaolin, and citrated rapid thromboelastographies for their prediction of massive transfusion after trauma. We hypothesized that citrated native thrombelastography best predicts massive transfusion. MethodsData were collected as part of a prospective study of trauma activation patients. All patients received citrated native, citrated kaolin, or citrated rapid thromboelastographies. Logistic regression was used to assess the predictive performance of different thrombelastography assays for massive transfusion. ResultsMeasurements for all three TEG activating systems was available for 343 patients; 57 (16.6%) required a massive transfusion. Compared to citrated rapid thromboelastographies, citrated kaolin thromboelastographies performed better for activated clotting time/rapid and citrated native thromboelastographies for maximum amplitude and angle. Yet, the 95% confidence intervals overlapped considerably, suggesting the citrated rapid thromboelastographies produced comparable results to the other assays for activated clotting time/reaction time, maximum amplitude, and angle. ConclusionThere was substantial overlap in the performance of the different thrombelastography assays, suggesting citrated rapid thrombelastography is a quick and effective method to guide hemostatic resuscitation in trauma patients and does not perform inferiorly to the citrated native or citrated kaolin thrombelastography despite the addition of activation factors.

Initial inferior vena cava diameter predicts massive transfusion requirements in blunt trauma patients: A retrospective cohort study

ObjectivesThe inferior vena cava (IVC) diameter is associated with shock and increased mortality in trauma patients. However, there are no reports examining the association between the IVC diameter and massive transfusion (MT) requirements in trauma patients. The aim of this study was to evaluate the association between IVC diameter and MT requirements in patients with blunt trauma. MethodsWe retrospectively reviewed all patients who were consecutively hospitalized with blunt trauma (Injury Severity Score [ISS] ≥16) between from November 1, 2011 to March 30, 2016. Univariate and multivariate analyzes were performed to identify the independent predictors of MT (defined as >10units of red cell concentrate transfusions within 24h of admission). Receiver operating characteristic curve and the area under the curve (AUC) were estimated. ResultsOf the 222 patients included in this study, MT occurred in 22.5% patients. On multiple regression analysis, IVC diameter [Odds ratio (OR), 0.88; 95% confidence interval (CI), 0.80–0.96; p<0.01], fibrin degradation product (FDP; OR, 1.01; 95% CI, 1.00–1.01; p<0.01), and fibrinogen level (OR, 0.99; 95% CI, 0.98–1.00; p<0.01) were strong predictors of MT. IVC diameter demonstrated moderate accuracy (AUC, 0.74; cutoff level, 13.0mm; sensitivity, 67%; specificity, 73%). Combined cutoff levels of FDP <80.5μg/ml, fibrinogen ≥165mg/dl, and IVC diameter ≥13mm could also determine how unnecessary a MT was with 100% accuracy. ConclusionsInitial IVC diameter is a predictor of MT in blunt trauma patients.

Fibrinogen level on admission is a predictor for massive transfusion in patients with severe blunt trauma: Analyses of a retrospective multicentre observational study

IntroductionIn the early phase of trauma, fibrinogen (Fbg) plays an important role in clot formation. However, to the best of our knowledge, few studies have analysed methods of predicting the need for massive transfusion (MT) based on Fbg levels using multiple logistic regression. Therefore, the present study aimed to evaluate whether Fbg levels on admission can be used to predict the need for MT in patients with trauma. MethodsWe conducted a retrospective multicentre observational study. Patients with blunt trauma with ISS ≥16 who were admitted to 15 tertiary emergency and critical care centres in Japan participating in the J-OCTET were enrolled in the present study. MT was defined as the transfusion of packed red blood cells (PRBC) ≥10 units or death caused by bleeding within 24h after admission. Patients were divided into non-MT and MT groups. Multiple logistic-regression analysis was used to assess the predictive value of the variables age, sex, vital signs, Glasgow Coma Scale (GCS) score, and Fbg levels for MT. We also evaluated the discrimination threshold of MT prediction via receiver operating characteristic curve (ROC) analysis for each variable. ResultsHigher heart rate (HR; per 10 beats per minutes [bpm]), systolic blood pressure (SBP; per 10mm Hg), GCS, and Fbg levels (per 10mg/dL) were independent predictors of MT (odds ratio [OR] 1.480, 95% confidence interval [CI] 1.326–1.668; OR 0.851, 95% CI 0.789–0.914; OR 0.907, 95% CI 0.855–0.962; and OR 0.931, 95% CI 0.898–0.963, respectively). The optimal cut-off values for HR, SBP, GCS, and Fbg levels were ≥100 bpm (sensitivity 62.4%, specificity 79.8%), ≤120mm Hg (sensitivity 61.5%, specificity 70.5%), ≤12 points (sensitivity 63.3%, specificity 63.6%), and ≤190mg/dL (sensitivity 55.1%, specificity 78.6%), respectively. ConclusionsOur findings suggest that vital signs, GCS, and decreased Fbg levels can be regarded as predictors of MT. Therefore, future studies should consider Fbg levels when devising models for the prediction of MT.