mTICCS and its inter-rater reliability to predict the need for massive transfusion in severely injured patients.

PURPOSE: The modified Trauma-Induced Coagulopathy Clinical Score (mTICCS) presents a new scoring system for the early detection of the need for a massive transfusion (MT). This easily applicable score was validated in a large trauma cohort and proven comparable to more established complex scoring systems. However, the inter-rater reliability of the mTICCS has not yet been investigated. METHODS: Therefore, a dataset of 15 randomly selected and severely injured patients (ISS ≥ 16) derived from the database of a level I trauma centre (2010-2015) was used. Moreover, 15 severely injured subjects that received MT were chosen from the same databank. A web-based survey was sent to medical professionals working in the field of trauma care asking them to evaluate each patient using the mTICCS. RESULTS: In total, 16 raters (9 residents and 7 specialists) completed the survey. Ratings from 15 medical professionals could be evaluated and led to an ICC of 0.7587 (95% Bootstrap confidence interval (BCI) 0.7149-0.8283). A comparison of working experience specific ICC (n = 7 specialists, ICC: 0.7558, BCI: 0.7076-0.8270; n = 8 residents, ICC: 0.7634, BCI: 0.7183-0.8335) showed no significant difference between the two groups (p = 0.67). CONCLUSION: In summary, reliability values need to be considered when making clinical decisions based on scoring systems. Due to its easy applicability and its almost perfect inter-rater reliability, even with non-specialists, the mTICCS might therefore be a useful tool to predict the early need for MT in multiple trauma.

Drones' side effect: facial and ocular trauma caused by an aerial drone.

An adult man was struck in the face by his own aerial drone. The propellers hit the upper face region leading to forehead and eyelid lacerations, a partial scleral laceration, conjunctival laceration, hyphaema, traumatic iritis and forward displacement of one haptic of the intraocular lens from a previous cataract surgery. In the last decade, drone use has significantly increased and drone-related injuries have become an emerging cause of trauma. Our case raises awareness of the risks and highlights the need for improvement in regulation of drone use.

Validation of the mTICCS Score as a Useful Tool for the Early Prediction of a Massive Transfusion in Patients with a Traumatic Hemorrhage.

The modified Trauma-Induced Coagulopathy Clinical Score (mTICCS) presents a new scoring system for the early detection of the need for a massive transfusion (MT). While validated in a large trauma cohort, the comparison of mTICCS to established scoring systems is missing. This study therefore validated the ability of six scoring systems to stratify patients at risk for an MT at an early stage after trauma. A dataset of severely injured patients (ISS ≥ 16) derived from the database of a level I trauma center (2010-2015) was used. Scoring systems assessed were Trauma-Associated Severe Hemorrhage (TASH) score, Prince of Wales Hospital (PWH) score, Larson score, Assessment of Blood Consumption (ABC) score, Emergency Transfusion Score (ETS), and mTICCS. Demographics, diagnostic data, mechanism of injury, injury pattern (graded by AIS), and outcome (length of stay, mortality) were analyzed. Scores were calculated, and the area under the receiver operating characteristic curves (AUCs) were evaluated. From the AUCs, the cut-off point with the best relationship of sensitivity-to-specificity was used to recalculate sensitivity, specificity, positive predictive values (PPV), and negative predictive values (NPV). A total of 479 patients were included; of those, blunt trauma occurred in 92.3% of patients. The mean age of patients was 49 ± 22 years with a mean ISS of 25 ± 29. The overall MT rate was 8.4% (n = 40). The TASH score had the highest overall accuracy as reflected by an AUC of 0.782 followed by the mTICCS (0.776). The ETS was the most sensitive (80%), whereas the TASH score had the highest specificity (82%) and the PWH score had the lowest (51.83%). At a cut-off > 5 points, the mTICCS score showed a sensitivity of 77.5% and a specificity of 74.03%. Compared to sophisticated systems, using a higher number of weighted variables, the newly developed mTICCS presents a useful tool to predict the need for an MT in a prehospital situation. This might accelerate the diagnosis of an MT in emergency situations. However, prospective validations are needed to improve the development process and use of scoring systems in the future.

Impact of a prehospital discrimination between trauma patients with or without early acute coagulopathy of trauma and the need for damage control resuscitation: rationale and design of a multicenter randomized phase II trial.

BACKGROUND: The evidence of the Trauma Induced Coagulopathy Clinical Score (TICCS) accuracy has been evaluated in several studies but the potential effect of its use on patient outcomes needs to be evaluated. The primary objective of this study is to evaluate the impact on mortality of a prehospital discrimination between trauma patients with or without a potential need for damage control resuscitation. METHODS: The trial will be designed as randomized phase II clinical trial with comparison of the experimental protocol against the standard of care. The TICCS will be calculated on the site of injury for the patients of the intervention group and treatment will be guided by the TICCS value. Seven days mortality, 30 days mortality, global use of blood products and global hospital length-of-stay will be compared. DISCUSSION: Many data suggest that a very early flagging of trauma patients in need for DCR would be beneficial but this need to be proved. Do we improve our quality of care by an earlier diagnosis? Does a prehospital discrimination between trauma patients with or without a potential need for DCR has a positive impact?

Early identification of trauma patients in need for emergent transfusion: results of a single-center retrospective study evaluating three scoring systems.

BACKGROUND: The Trauma-Induced Coagulopathy Clinical Score (TICCS) was developed to be calculable on the site of injury to discriminate between trauma patients with or without the need for damage control resuscitation and thus transfusion. This early alert could then be translated to in-hospital parameters at patient arrival. Base excess (BE) and ultrasound (FAST) are known to be predictive parameters for emergent transfusion. We emphasize that adding these two parameters to the TICCS could improve the scoring system predictability. METHODS: A retrospective study was conducted in the University Hospital of Liège. TICCS was calculated for every patient. BE and FAST results were recorded and points were added to the TICCS according to the TICCS.BE definition (+ 3 points if BE < - 5 and + 3 points in case of a positive FAST). Emergent transfusion was defined as the use of at least one blood product in the resuscitation room. The capacity of the TICCS, the TICCS.BE and the Trauma-Associated Severe Hemorrhage (TASH) to predict emergent transfusion was assessed. RESULTS: A total of 328 patients were included. Among them, 14% needed emergent transfusion. The probability for emergent transfusion grows with the TICCS and the TICCS.BE values. We did not find a significant difference between the TICCS (AUC 0.73) and the TICCS.BE (AUC 0.76). The TASH proved to be more predictive (AUC 0.89). 66.6% of the patients with a TICCS ≥ 10 and 81.5% with a TICCS.BE ≥ 14 required emergent transfusion. CONCLUSION: Adding BE and FAST to the original TICCS does not significantly improve the scoring system predictability. A prehospital TICCS > 10 could be used as a trigger for emergent transfusion activation. TASH could then be used at hospital arrival. Prehospital TASH calculation may be possible but should be further investigated. LEVEL OF EVIDENCE: Diagnostic test, level III.

Thromboelastometry in trauma care: a place in the 2018 Belgian health care system?

Introduction Evidence supporting the use of Thromboelastography (TEG®) and rotational thromboelastometric (ROTEM®) in the trauma setting remains limited. We present the results of a practical evaluation of the potential interest of ROTEM® in the diagnosis of acute coagulopathy and the need for emergent blood product transfusion in the general trauma population of a non-trauma Belgian emergency department. Methods Extracting a convenience cohort from the initial prospective TICCS study, we performed a retrospective analysis to test the following hypothesis: ROTEM® might be helpful to discriminate trauma patients with or without acute coagulopathy. Fifty patients were included and ROTEM® results were compared to conventional coagulation tests results, blood transfusion need and outcome. Results With a negative predictive value of 97.6% and a positive predictive value of 42.9%, a strictly normal ROTEM® profile at the time of admission seems to be able to exclude the presence of acute coagulopathy. ROTEM® also seems to be accurate in identifying patients without the need for emergent blood product transfusions. Conclusion In a population of trauma patients of a Belgian general emergency department, a strictly normal coagulation profile evaluated by ROTEM® at hospital entry is associated with a normal coagulation profile evaluated by INR and fibrinogen levels and the absence of any indication of blood product transfusion. ROTEM® may be useful for preselection of trauma patients at risk for coagulopathy within the global trauma population. This, however, would need confirmation in further investigations. TRIAL REGISTRATION: clinicaltrials.gov NCT02132208 Registered 6 May 2014.

Prehospital identification of trauma patients requiring transfusion: results of a retrospective study evaluating the use of the trauma induced coagulopathy clinical score (TICCS) in 33,385 patients from the TraumaRegister DGU®.

BACKGROUND: Identifying trauma patients that need emergent blood product transfusion is crucial. The Trauma Induced Coagulopathy Clinical Score (TICCS) is an easy-to-measure score developed to meet this medical need. We hypothesized that TICCS would assist in identifying patients that need a transfusion in a large cohort of severe trauma patients from the TraumaRegister DGU® (TR-DGU). MATERIALS AND METHODS: A total of 33,385 severe trauma patients were extracted from the TR-DGU for retrospective analysis. The TICCS was adapted for the registry structure. Blood transfusion was defined as the use of at least one unit of red blood cells (RBC) during acute hospital treatment. RESULTS: With an area under the receiving operating curve (AUC) of 0.700 (95% CI: 0.691-0.709), the TICCS appeared to be moderately discriminant for determining the need for RBC transfusion in the trauma population of the TR-DGU. A TICCS cut-off value of ≥12 yielded the best trade-off between true positives and false positives. The corresponding positive predictive value and negative predictive values were 48.4% and 89.1%, respectively. CONCLUSION: This retrospective study confirms that the TICCS is a useful and simple score for discriminating between trauma patients with and without the need for emergent blood product transfusion.

Massive bleeding following severe blunt trauma: the first minutes that can change everything.

The first hour following a major trauma with massive bleeding is certainly the most decisive period in global trauma care. Most of it takes place during the prehospital care. Those prehospital minutes are thus determinant as they can be used to correctly identified patient's clinical condition, initiate organization of the in-hospital needed resources and initiate specific therapies in the very early phase after trauma. Significant recent advances in this aspect of care have been made and but evidence to support some of those strategies is still lacking.

Early Prediction of Ongoing Hemorrhage in Severe Trauma: Presentation of the Existing Scoring Systems.

Early prediction of ongoing hemorrhage may reduce mortality via the earlier delivery of blood products, adequate orientation of the patient in a dedicated highly specialized and trained infrastructure, and by earlier correction of acute traumatic coagulopathy. We identified 14 scores or algorithms developed for the prediction of ongoing hemorrhage and the need for massive transfusion in severe trauma patients.

Prehospital identification of trauma patients with early acute coagulopathy and massive bleeding: results of a prospective non-interventional clinical trial evaluating the Trauma Induced Coagulopathy Clinical Score (TICCS).

INTRODUCTION: Identifying patients who need damage control resuscitation (DCR) early after trauma is pivotal for adequate management of their critical condition. Several trauma-scoring systems have been developed to identify such patients, but most of them are not simple enough to be used in prehospital settings in the early post-traumatic phase. The Trauma Induced Coagulopathy Clinical Score (TICCS) is an easy-to-measure and strictly clinical trauma score developed to meet this medical need. METHODS: TICCS is a 3-item clinical score (range: 0 to 18) based on the assessment of general severity, blood pressure and extent of body injury and calculated by paramedics on-site for patients with severe trauma. This non-interventional prospective study was designed to assess the ability of TICCS to discern patients who need DCR. These patients were patients with early acute coagulopathy of trauma (EACT), haemorrhagic shock, massive transfusion and surgical or endovascular haemostasis during hospitalization. Diagnosis of EACT was assessed by both thromboelastometry and conventional coagulation tests. RESULTS: During an 18-month period, 89 severe trauma patients admitted to the general emergency unit at our hospital were enrolled in the study, but 7 were excluded for protocol violations. Of the 82 remaining patients, 8 needed DCR and 74 did not. With receiver operating characteristic curve analysis, TICCS proved to be a powerful discriminant test (area under the curve = 0.98; 95% CI: 0.92 to 1.0). A cutoff of 10 on the TICCS scale provided the best balance between sensitivity (100%; 95% CI: 53.9 to 100) and specificity (95.9%; 95% CI: 88.2 to 99.2). The positive predictive value was 72.7%, and the negative predictive value was 100.0%. CONCLUSION: TICCS can be easily and rapidly measured by paramedics at the trauma site. In this study of blunt trauma patients, TICCS was able to discriminate between patients with and without need for DCR. TICCS on-site evaluation should allow initiation of optimal care immediately upon hospital admission of patients with severe trauma in need of DCR. However, a larger multicentre prospective study is needed for in-depth validation of TICCS. TRIAL REGISTRATION: Clinicaltrials.gov ID: NCT02132208 (registered 6 May 2014).