Early identification of bleeding in trauma patients: external validation of traumatic bleeding scores in the Swiss Trauma Registry

Prehospital undertriage of older injured patients in western Switzerland: an observational cross-sectional study

BACKGROUND

The ageing of the population is leading to an increase in the number of traumatic injuries and represents a major challenge for the future. Falls represent the leading cause of Emergency department admission in older people, with injuries ranging from minor to severe multiple injuries. Older injured patients are more likely to be undertriaged than younger patients. The aim of this study was to investigate the extent of undertriage in older patients with particular emphasis on access to trauma centres and resuscitation rooms.

METHODS

Retrospective observational cross-sectional study based on data prospectively collected from prehospital electronic records including all patients ≥ 18 years for whom an ambulance or helicopter was dispatched between 1 January 2018 and 31 April 2023 due to a trauma. The primary outcome, admission to the resuscitation room of the regional trauma centre with trauma team activation, was assessed by age. Multivariate logistic regression was used to control for known confounders and to test for plausible effect modifiers.

RESULTS

Emergency Medical Services treated 37,906 injured patients. Older patients ≥ 75 years represented 17,719 patients (47%). Admission to trauma centre with trauma team activation was lower in older patients, N = 121 (1%) compared to N = 599 (5%) in younger patients, p < 0.001; adjusted odds ratio: 0.33 (0.24-0.45); p < 0.001. Undertriage increased by twofold with age ≥ 75; OR: 1.81 (1.04-3.15); p value < 0.001. Undertriaged patients were older, more likely to be female, to have low energy trauma and to be located farther from the regional trauma centre.

CONCLUSION

Older injured patients were at increased risk of undertriage and non-trauma team activation admission, especially if they were older, female, had head injury without altered consciousness and greater distance to regional trauma centre.

Evaluation of the prehospital administration of tranexamic acid for injured patients: a state-wide observational study with sex and age-disaggregated analysis

BACKGROUND

Tranexamic acid (TXA) decreases mortality in injured patients and should be administered as soon as possible. Despite international guidelines recommending TXA in the prehospital setting, its use remains low. The aim of this study was to assess the prehospital administration of TXA for injured patients in a Swiss region.

METHODS

We conducted a retrospective observational study in Switzerland between 2018 and 2021. Inclusion criteria were injured patients ≥18 years for whom an ambulance or helicopter was dispatched. The exclusion criterion was minor injury defined by a National Advisory Committee for Aeronautics score <3. The primary outcome was the proportion of patients treated with TXA according to guidelines. The European guidelines were represented by the risk of death from bleeding (calculated retrospectively using the Bleeding Audit for Trauma and Triage (BATT) score). Factors impacting the likelihood of receiving TXA were assessed by multivariate analysis.

RESULTS

Of 13 944 patients included in the study, 2401 (17.2%) were considered at risk of death from bleeding. Among these, 257 (11%) received prehospital TXA. This represented 38% of those meeting US guidelines. For European guidelines, the treatment rate increased with the risk of death from bleeding: 6% (95% CI 4.4% to 7.0%) for low risk (BATT score 3-4); 13% (95% CI 11.1% to 15.9%) for intermediate risk (BATT score 5-7); and 21% (95% CI 17.6% to 25.6%) for high risk (BATT score ≥8) (p<0.01). Women and the elderly were treated less often than men and younger patients, irrespective of the risk of death from bleeding and the mechanism of injury.

CONCLUSION

The proportion of injured patients receiving TXA in the prehospital setting of the State of Vaud in Switzerland was low, with even lower rates for women and older patients. The reasons for this undertreatment are probably multifactorial and would require specific studies to clarify and correct them.

Time and Risk Factors of Trauma-Related Mortality: A 5-Year Retrospective Analysis From a National Level I Trauma Center

Background: We aimed to analyze in-hospital timing and risk factors for mortality in a level 1 trauma center. Methods: This is a retrospective analysis of all trauma-related mortality between 2013 and 2018. Patients were divided and analyzed based on the time of mortality (early (≤48 h) vs late (>48 h)), and within different age groups. Multivariate regression analysis was performed to predict in-hospital mortality. Results: 8624 trauma admissions and 677 trauma-related deaths occurred (47.7% at the scene and 52.3% in-hospital). Among in-hospital mortality, the majority were males, with a mean age of 35.8 ± 17.2 years. Most deaths occurred within 3-7 days (35%), followed by 33% after 1 week, 20% on the first day, and 12% on the second day of admission. Patients with early mortality were more likely to have a lower Glasgow coma scale, a higher shock index, a higher chest and abdominal abbreviated injury score, and frequently required exploratory laparotomy and massive blood transfusion (P < .005). The injury severity scores and proportions of head injuries were higher in the late mortality group than in the early group. The severity of injuries, blood transfusion, in-hospital complications, and length of intensive care unit stay were comparable among the age groups, whereas mortality was higher in the age group of 19 to 44. The higher proportions of early and late in-hospital deaths were evident in the age group of 24 to 29. In multivariate analysis, the shock index (OR 2.26; 95%CI 1.04-4.925; P = .04) was an independent predictor of early death, whereas head injury was a predictor of late death (OR 4.54; 95%CI 1.92-11.11; P = .001). Conclusion: One-third of trauma-related mortalities occur early after injury. The initial shock index appears to be a reliable hemodynamic indicator for predicting early mortality. Therefore, timely hemostatic resuscitation and appropriate interventions for bleeding control may prevent early mortality.

Prehospital lactate-glucose interaction in acute life-threatening illnesses: metabolic response and short-term mortality

BACKGROUND AND IMPORTANCE

Lactate is an already recognized biomarker for short-term mortality. However, how glycemia and diabetes affect the predictive ability of lactate needs to be revealed.

OBJECTIVE

To determine how hypoglycemia, normoglycemia, and hyperglycemia modify the predictive ability of lactate for short-term mortality (3 days). The secondary objective was to evaluate the predictive ability of lactate in diabetic patients.

DESIGN, SETTINGS AND PARTICIPANTS

Prospective, observational study performed between 26 October 2018 and 31 December 2022. Multicenter, EMS-delivery, ambulance-based study, considering 38 basic life support units and 5 advanced life support units referring to four tertiary care hospitals (Spain). Eligible patients were adults recruited from among all phone requests for emergency assistance who were later evacuated to emergency departments.

OUTCOMES MEASURE AND ANALYSIS

The primary outcome was in-hospital mortality from any cause within the third day following EMS attendance. The main predictors considered were lactate, blood glucose levels and previous diabetes.

MAIN RESULTS

A total of 6341 participants fulfilled the inclusion criteria. 68 years (IQR: 51-80); 41.4% were female. The 3-day in-hospital mortality rate was 3.5%. The predictive capacity of lactate for 3-day mortality was only significantly different between normo-glycemia and hyperglycemia. The best predictive result was for normo-glycemia - AUC = 0.897 (95% CI: 0.881-0.913) - then hyperglycemia - AUC = 0.819 (95% CI: 0.770-0.868) and finally, hypoglycemia - AUC = 0.703 (95% CI: 0.422-0.983). The stratification according to diabetes presented no statistically significant difference, and the predictive results were AUC = 0.924 (95% CI: 0.892-0.956), AUC = 0.906 (95% CI: 0.884-0.928), and AUC = 0.872 (95% CI: 0.817-0.927) for nondiabetes, uncomplicated cases, and end-organ damage diabetes, respectively.

CONCLUSION

Our results demonstrated that glycemia, but not diabetes, alters the predictive ability of lactate. Therefore, hyperglycemia should be considered when interpreting lactate, since this could improve screening to detect cryptic shock conditions.

The predictive value of four traumatic hemorrhage scores for early massive blood transfusion in trauma patients in the pre-hospital setting

OBJECTIVES

We aimed to explore the predictive value of four traumatic hemorrhage scores for early massive blood transfusion in trauma patients in the pre-hospital setting.

METHODS

Trauma patients admitted to Shenzhen University General Hospital from July 2018 to December 2022 were included in this study. They were divided into the massive transfusion group and the non-massive transfusion group according to the blood transfusion volume within 24 h. Basic information about patients was collected. Glasgow Coma Scale (GCS), focused assessment with sonography for trauma (FAST), and injury severity score (ISS) were performed. The receiving operating characteristic (ROC) curve was used to compare the predictive value of four trauma transfusion scores for early massive blood transfusion in the pre-hospital setting.

RESULTS

A total of 475 patients were enrolled, 43 received massive blood transfusions and 29 died within 24 h. The sensitivity and specificity of the four trauma hemorrhage scores in predicting the need for massive blood transfusions in trauma patients at their recommended cutoff points were all high. Among the four scores, the area under the ROC curve was larger for the assessment of blood consumption (ABC) score (0.864) and smaller for the trauma-induced coagulopathy clinical score (TICCS) score (0.795, p > 0.05).

CONCLUSIONS

All four pre-hospital trauma hemorrhage scores have a high predictive value in assessing massive blood transfusion in trauma patients.

Independent predictors of mortality for critically ill patients with polytrauma: A single center, retrospective study

Independent predictors of mortality and transfusion therapy in polytrauma patients from the Chinese population remain unknown. Here, we aimed to identify these predictors by retrospectively collecting and analyzing vital signs and laboratory results for 408 critically ill patients suffering from polytrauma who were treated in Affiliated Kunshan Hospital of Jiangsu University, Jiangsu Province, China from January 2020 to December 2021. We identified risk factors for mortality and transfusion therapy using logistic regression analysis. As a results, we enrolled a total of 408 polytrauma patients, with a male-to-female ratio of 2:1, a mean age of 49.02 ± 16.84 years, a mortality rate of 15.9 %, and a blood transfusion rate of 45.8 %. The multivariate logistic regression showed that decreased Glasgow Coma Scale (GCS) score (Odds ratio (OR) = 0.72, 95 % confidence interval (95%CI): 0.63-0.83, P < 0.001), decreased base excess (BE) (OR = 0.77, 95%CI: 0.67-0.87, P < 0.001), and increased Injury Severity Score (ISS) (OR = 1.12, 95%CI: 1.06-1.17, P < 0.001) were independent risk factors for the mortality. In addition, increased GCS score (OR = 1.17, 95%CI: 1.03-1.35, P = 0.020), increased heart rate (OR = 1.05, 95%CI: 1.04-1.07, P < 0.001), decreased systolic blood pressure (SBP) (OR = 0.97, 95%CI: 0.96-0.99, P < 0.001), increased peripheral oxygen saturation (SpO2) (OR = 1.10, 95%CI: 1.04-1.16, P = 0.002), decreased serum lactate (OR = 0.58, 95%CI: 0.42-0.79, P = 0.001), decreased BE (OR = 0.49, 95%CI: 0.39-0.62, P < 0.001), and increased ISS (OR = 1.25, 95%CI: 1.18-1.33, P < 0.001) were independent risk factors for blood transfusion. The area under receiver operating characteristic curves (AUROCs) of the model to predict mortality and blood transfusion were 0.976 (95%CI: 0.960-0.992, P < 0.001) and 0.973 (95%CI: 0.958-0.987, P < 0.001). In conclusion, decreased BE level was significantly associated with all-cause mortality in polytrauma patients. BE, ISS, and GCS might be independent important predictors for mortality and blood transfusion of polytrauma patients.

Explainable Prediction Model of the Need for Emergency Hemostasis Using Field Information During Physician-Staffed Helicopter Emergency Medical Service Interventions: A Single-Center, Retrospective, Observational Pilot Study

OBJECTIVE

Early recognition of hemostasis is important to prevent trauma-related deaths. We conducted a pilot study of a predictive model of hemostatic need using factors that can be collected during helicopter emergency medical service (HEMS) interventions until transport hospital selection using cases from our institution.

METHODS

This single-center, retrospective, observational pilot study included 251 trauma patients aged ≥ 18 years treated with HEMS between April 2017 and March 2022, in Nara Medical University. Cardiac arrest and pre-HEMS treatment patients were excluded. Emergency hemostatic surgery prediction models were constructed using the light gradient boosting machine cross-validation method using objective data that could be collected before hospital determination. The accuracy of this model was compared with that of the ground emergency medical service-based model, and factors influencing outcome were visualized using Shapley additive explanations.

RESULTS

The predictive accuracy of the model with HEMS intervention factors was an area under the receiver operating characteristic curve of 0.80, superior to the 0.73 accuracy area under the receiver operating characteristic curve for ground emergency medical services constructed with contact information. Clinically important factors, such as shock index, blood pressure changes, and ultrasound findings, had a significant impact on outcomes, with nonmonotonic effects observed across factors.

CONCLUSION

This pilot study suggests that predictive models of emergency hemostasis can be built using limited prehospital information. To validate this model, a larger, multicenter study is recommended.

Shock Index for Early Detection of Low Plasma Fibrinogen in Trauma: A Prospective Observational Cohort Pilot Study

Shock index (a ratio between heart rate and systolic blood pressure) predicts transfusion requirements and the need for haemostatic resuscitation in severe trauma patients. In the present study, we aimed to determine whether prehospital and on-admission shock index values can be used to predict low plasma fibrinogen in trauma patients. Between January 2016 and February 2017, trauma patients admitted from the helicopter emergency medical service into two large trauma centres in the Czech Republic were prospectively assessed for demographic, laboratory and trauma-associated variables and shock index at scene, during transport and at admission to the emergency department. Hypofibrinogenemia defined as fibrinogen plasma level of 1.5 g·L^-l was deemed as a cut-off for further analysis. Three hundred and twenty-two patients were screened for eligibility. Of these, 264 (83%) were included for further analysis. The hypofibrinogenemia was predicted by the worst prehospital shock index with the area under the receiver operating characteristics curve (AUROC) of 0.79 (95% CI 0.64-0.91) and by the admission shock index with AUROC of 0.79 (95% CI 0.66-0.91). For predicting hypofibrinogenemia, the prehospital shock index ≥ 1 has 0.5 sensitivity (95% CI 0.19-0.81), 0.88 specificity (95% CI 0.83-0.92) and a negative predictive value of 0.98 (0.96-0.99). The shock index may help to identify trauma patients at risk of hypofibrinogenemia early in the prehospital course.

Dynamic structures and emerging trends in the management of major trauma: A bibliometric analysis of publications between 2012 and 2021

Objective

Major trauma is currently a global public health issue with a massive impact on health at both the individual and population levels. However, there are limited bibliometric analyses on the management of major trauma. Thus, in this study we aimed to identify global research trends, dynamic structures, and scientific frontiers in the management of major trauma between 2012 and 2021.

Methods

We searched the Web of Science Core Collection to access articles and reviews concerning the management of major traumas and conducted a bibliometric analysis using CiteSpace.

Results

Overall, 2,585 studies were screened and published by 403 institutions from 110 countries/regions. The most productive country and institution in this field of research were the USA and Monash University, respectively. Rolf Lefering was the most prolific researcher and Holcomb JB had the most co-citations. Injury published the highest number of articles, and the Journal of Trauma was the most co-cited journal. A dual-map overlay of the literature showed that the articles of most publications were confined to the areas of medicine/medical/clinical and neurology/sports/ophthalmology. Document clustering indicated severe traumatic brain injury, traumatic coagulopathy, and resuscitative endovascular balloon occlusion as the recent hot topics. The most recent burst keywords were "trauma management," "neurocritical care," "injury severity," and "emergency medical services."

Conclusion

The dynamic structures and emerging trends in the management of major trauma were extensively analyzed using CiteSpace, a visualization software. Based on the analysis, the following research hotspots emerged: management of severe traumatic brain injury and massive hemorrhage, neurocritical care, injury severity, and emergency medical service. Our findings provide pertinent information for future research and contribute toward policy making in this field.