Epidemiology of in-hospital trauma deaths

Efficient evacuation - enhanced survival: Insights from Gaza conflict trauma care

BACKGROUND

Combat-related injuries have evolved in urban warfare because of close-contact engagements and high-energy blast injuries, with rapid medical evacuation improving survival rates. This study analyzes injury patterns and outcomes in the Gaza conflict, emphasizing the need to optimize trauma care protocols in modern combat environments, particularly because of the unique proximity of conflict zones to tertiary trauma centers.

METHODS

A retrospective study was conducted at a single center involving 189 patients evacuated by helicopter to a Level I tertiary trauma center. Subgroup analysis based on Injury Severity Scores was performed.

RESULTS

Shrapnel impacts were the leading cause of injuries (58.7%), followed by blast injuries (48.1%) and gunshot wounds (30.7%). Extremity injuries were most common (61.4%), with 46.3% of patients needing surgery within 24 hours, mainly orthopedic procedures (75.3%). The average hospital stay was 21.9 days. In-hospital mortality rate was 4.2% (two patients). Infections occurred in 17.9% of cases, with fungal infections at 8.9% and bacterial infections at 15.3%.

CONCLUSION

In modern urban warfare, effective medical interventions play a crucial role in mitigating challenges. This study emphasizes the importance of rapid evacuation and advanced trauma management, reflected in low in-hospital mortality rates, highlighting the significance of timely interventions, personal protective equipment, specialized orthopedic trauma care, and robust infection control measures.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level IV.

From trauma to chronicity: Understanding the incidence and early immune changes of chronic complications in polytrauma patients

OBJECTIVE

Polytrauma is a complex condition associated with poor outcomes and high mortality rates resulting from severe damage and complicated complications. This study sought to ascertain the incidence of chronic complications in polytrauma patients, as well as the early immune changes and risk factors.

METHODS

A multicenter, prospective and observational cohort study was conducted at the emergency surgery or traumatic intensive care unit (TICU) of the Advanced Trauma Center from August 2020 to July 2023. A total of 2033 consecutive trauma patients were included in the study. In the first 1, 7, and 14 days after admission, flow cytometry and immunoassay kits were used to examine cytokine release and lymphocyte count.

RESULTS

Trauma patients were reported 33.8% (687/2033) chronic complication rates, with monotrauma patients reported 8.1% (55/683) and polytrauma patients reported 59.4% (802/1350). And the four most frequent chronic complications in polytrauma patients were chronic musculoskeletal pain (30.4%), post-traumatic osteoarthritis (27.2%), chronic wound (21.6%), and chronic lung injury (14.1.%) .There were significant differences in lymphocyte ratios and cytokine levels, at 1, 7, and 14 day of admission between chronic complication groups (CCP) and not chronic complication groups (N-CCP) in polytrauma. Polytrauma patients with characteristics of higher ratio of Ts7d ratio (95% CI: 2.01-6.21), Treg14d (95% CI: 1.12-5.43) and level of IL-67d (95% CI: 1.22-4.43), TNF-α7d (95% CI: 1.05-3.83), IL-1014d (95% CI: 2.01-6.84) were found to have a higher likelihood of experiencing a chronic complication. Conversely, a higher ratio of Tc1d (95% CI: 0.53-0.86), Th1d (95% CI: 0.64-0.95) and Th/Ts14d (95% CI: 0.21-0.64) were identified as independent protective factors against a chronic complication event.

CONCLUSION

Polytrauma patients exhibit a notable prevalence of chronic complications. Some immune and inflammatory indicators can be observed early in combination after injury to predict the risk of chronic complications after polytrauma.

[Cause of Death after Severe Trauma: 30 Years Experience from TraumaRegister DGU]

Every year, thousands of people in Germany succumb to severe injuries. But what causes the death of these patients? In addition to the trauma, pre-traumatic health status, age, and other influencing factors play a role in the outcome after trauma. This study aims to answer the question of what causes the death of a severely injured patient.For this publication, in addition to previously published results, we examined current data from patients in German hospitals from the years 2015-2022 (8 years) documented in the TraumaRegister DGU®. The feature "Presumed Cause of Death", introduced in 2015, was considered. Patients transferred out early (< 48 h) as well as patients with minor injuries were excluded from this analysis.The number of fatalities decreases over time and does not correspond to a traditionally postulated tri-modal mortality distribution. Instead, over time, the distribution of causes of death shows significant variation. In over half of the cases (54%), traumatic brain injury (TBI) was the presumed cause of death, followed by organ failure (24%) and haemorrhage (9%). TBI dominates, especially in the first week, haemorrhage in the first 24 h, and organ failure as a cause steadily increases over time.In summary, it can be observed that the risk of death due to trauma-related consequences is highest in the first minutes, hours, and days, decreasing steadily over time. Particularly, the extent of injuries, head injuries, and significant blood loss are early risk factors.

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models

OBJECTIVE

The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires intense manual annotation from certified trauma coders. The objective of this study is to develop machine learning models for the stratification of trauma injury severity across various body regions using clinical text and structured electronic health records (EHRs) data.

MATERIALS AND METHODS

Our study utilized clinical documents and structured EHR variables linked with the trauma registry data to create 2 machine learning models with different approaches to representing text. The first one fuses concept unique identifiers (CUIs) extracted from free text with structured EHR variables, while the second one integrates free text with structured EHR variables. Temporal validation was undertaken to ensure the models' temporal generalizability. Additionally, analyses to assess the variable importance were conducted.

RESULTS

Both models demonstrated impressive performance in categorizing leg injuries, achieving high accuracy with macro-F1 scores of over 0.8. Additionally, they showed considerable accuracy, with macro-F1 scores exceeding or near 0.7, in assessing injuries in the areas of the chest and head. We showed in our variable importance analysis that the most important features in the model have strong face validity in determining clinically relevant trauma injuries.

DISCUSSION

The CUI-based model achieves comparable performance, if not higher, compared to the free-text-based model, with reduced complexity. Furthermore, integrating structured EHR data improves performance, particularly when the text modalities are insufficiently indicative.

CONCLUSIONS

Our multi-modal, multiclass models can provide accurate stratification of trauma injury severity and clinically relevant interpretations.

The Magnitude of Change in Serum Phosphate Concentration Is Associated with Mortality in Patients with Severe Trauma

PURPOSE

Previous studies have suggested that serum phosphate concentration is a prognostic factor in critically ill patients. However, the association between changes in serum phosphate levels and prognosis of patients with trauma remains unclear.

MATERIALS AND METHODS

This study included patients with severe trauma who were treated at the emergency department. Delta phosphate (Δ phosphate) was defined as the difference between serum phosphate concentrations measured at baseline and after 24 hours from the initial measurement. Patients were divided into five groups according to their Δ phosphate levels: group I (Δ phosphate <-2 mg/dL), group II (Δ phosphate -2 to -0.5 mg/dL), group III (Δ phosphate -0.5 to 0.5 mg/dL), group IV (Δ phosphate 0.5 to 2 mg/dL), and group V (Δ phosphate ≥2 mg/dL).

RESULTS

Overall, 1905 patients with severe trauma were included in the analysis. The 30-day mortality was the lowest in group III and tended to increase in groups with a larger Δ phosphate in both the positive and negative directions (group I: 13.7%, group II: 6.8%, group III: 4.6%, group IV: 6.6%, and group V: 26.8%). In multivariable analysis with group III as the reference group, the odds ratios (ORs) of mortality were statistically significant in group IV [OR, 1.92; 95% confidence interval (CI), 1.05-3.56] and group V (OR, 5.28; 95% CI, 2.47-11.24).

CONCLUSION

An increase in serum phosphate concentrations 24 hours after the initial measurement could be considered as an independent prognostic factor in patients with severe trauma.

Changes in Injury Pattern and Outcomes of Trauma Patients after COVID-19 Pandemic: A Retrospective Cohort Study

The COVID-19 pandemic, starting in 2020, changed the daily activities of people in the world and it might also affect patterns of major trauma. This study aimed to compare the epidemiology and outcomes of trauma patients before and after the COVID-19 outbreak. This was a retrospective study, conducted in a single regional trauma center in Korea, and patients were grouped as pre- and post-COVID-19 and compared in terms of demographics, clinical characteristics, and clinical outcomes. A total of 4585 patients were included in the study and the mean age was 57.60 ± 18.55 and 59.06 ± 18.73 years in the pre- and post-COVID-19 groups, respectively. The rate of elderly patients (age ≥ 65) significantly increased in the post-COVID-19 group. In terms of injury patterns, self-harm was significantly increased after COVID-19 (2.6% vs. 3.5%, p = 0.021). Mortality, hospital length of stay, 24 h, and transfusion volume were not significantly different. Among the major complications, acute kidney injury, surgical wound infection, pneumonia, and sepsis were significantly different between the groups. This study revealed changes in the age of patients, injury patterns and severity, and major complication rates after the COVID-19 outbreak.

Endothelial Protein kinase D1 is a major regulator of post-traumatic hyperinflammation

Trauma is a major cause of death worldwide. The post-traumatic immune response culminates in the release of pro-inflammatory mediators, translating in the infiltration of neutrophils (PMNs) at injury sites. The extent of this inflammation is determined by multiple factors, such as PMN adhesion to the endothelium, transendothelial migration, endothelial barrier integrity as well as PMN swarming, mass infiltration and activation. This process is initiated by secondary lipid mediators, such as leukotriene B₄ (LTB₄). We here provide evidence that Protein kinase D1 (PRKD1) in endothelial cells is implicated in all these processes. Endothelial PRKD1 is activated by pro-inflammatory stimuli and amplifies PMN-mediated inflammation by upregulation of cytokine and chemokines as well as adhesion molecules, such as ICAM-1, VCAM-1 and E-selectin. This induces enhanced PMN adhesion and trans-migration. PRKD1 activation also destabilizes endothelial VE-cadherin adhesion complexes and thus the endothelial barrier, fostering PMN infiltration. We even describe a yet unrecognized PRKD1-dependant mechanism to induce biosynthesis of the PMN-swarming mediator LTB₄ directed via intercellular communication through small extracellular vesicles (sEVs) and enhanced CXCL8 secretion from activated endothelial cells. These endothelial sEVs transfer the LTB₄ biosynthesis enzyme LTA₄ hydrolase (LTA₄H) to prime PMNs, while initiating biosynthesis also requires additional signals, like CXCL8. We further demonstrate the respective LTA₄H-positive sEVs in the serum of polytrauma patients, peaking 12 h post injury. Therefore, PRKD1 is a key regulator in the coordinated communication of the endothelium with PMNs and a vital signaling node during post-traumatic inflammation.

The influence of inter-hospital transfers on mortality in severely injured patients

PURPOSE

The importance of treating severely injured patients in higher-level trauma centers is undisputable. However, it is uncertain whether severely injured patients that were initially transported to a lower-level trauma center (i.e., undertriage) benefit from being transferred to a higher-level trauma center.

METHODS

This observational study included all severely injured patients (i.e., Injury Severity Score ≥ 16) that were initially transported to a lower-level trauma center within eight ambulance regions. The exposure of interest was whether a patient was transferred to a higher-level trauma center. Primary outcomes were 24-h and 30-day mortality. Generalized linear models including inverse probability weights for several potential confounders were constructed to evaluate the association between transfer status and mortality.

RESULTS

We included 165,404 trauma patients that were transported with high priority to a trauma center, of which 3932 patients were severely injured. 1065 (27.1%) patients were transported to a lower-level trauma center of which 322 (30.2%) were transferred to a higher-level trauma center. Transferring undertriaged patients to a higher-level trauma center was significantly associated with reduced 24-h (relative risk [RR] 0.26, 95%-CI 0.10-0.68) and 30-day mortality (RR 0.65, 0.46-0.92). Similar results were observed in patients with critical injuries (24-h: RR 0.35, 0.16-0.77; 30-day: RR 0.55, 0.37-0.80) and patients with traumatic brain injury (24-h: RR 0.31, 0.11-0.83; 30-day: RR 0.66, 0.46-0.96).

CONCLUSIONS

A minority of the undertriaged patients are transferred to a higher-level trauma center. An inter-hospital transfer appears to be safe and may improve the survival of severely injured patients initially transported to a lower-level trauma center.

Comorbidities, injury severity and complications predict mortality in thoracic trauma

Purpose

Thoracic trauma accounts for 25–50% of posttraumatic mortality. Data on epidemiology of thoracic trauma in Scandinavia and risk factors for mortality are scarce. This study aims to provide an overview of epidemiology, clinical events and risk factors for mortality of patients with severe thoracic injuries.

Methods

A retrospective study including adult thoracic trauma patients with abbreviated injury scale ≥ 3, between 2009 and 2018 at Haukeland University Hospital was performed. Subgroup analyses were performed for specific patient groups: (1) isolated thoracic trauma, (2) polytrauma without Traumatic Brain Injury (TBI) and (3) polytrauma with TBI. Logistic regression analyses were applied to find risk factors for 30-days mortality. Age, sex, comorbidity polypharmacy score (CPS), trauma and injury severity score (TRISS) and comprehensive complication index (CI) were included in the final model.

Results

Data of 514 patients were analyzed, of which 60 (12%) patients died. Median (IQR) injury severity score (ISS) was 17 (13–27). Data of 463 patients, of which 39 patients died (8%), were included in multivariate analyses. Female sex odds ratio (OR) (2.7, p = 0.04), CPS > 9 (OR 4.8; p = 0.01), TRISS ≤ 50% (OR 44; p < 0.001) and CI ≥ 30 (OR 12.5, p < 0.001) were significant risk factors for mortality. Subgroup analyses did not demonstrate other risk factors.

Conclusion

Comorbidities and associated pharmacotherapies, TRISS, female sex, and complications during admission predict in-hospital mortality after thoracic trauma. Current findings might help to recognize patients at risk of an adverse outcome, and thereby prevent complications.

Trial registration: retrospectively registered

The regional committees for medical and health research ethics file number is 2017/293.

Mechanical Injury among Medicolegal Cases in the Department of Emergency in a Tertiary Care Centre: A Descriptive Cross-sectional Study

Introduction

A medico-legal issue arises whenever an injured person visits a hospital. Therefore, all physicians who treat such patients have a legal duty to accurately document injuries as part of medical treatment. The study aimed to find out the prevalence of mechanical injury among medicolegal cases in the Department of Emergency in a tertiary care centre.

Methods

A descriptive cross-sectional study was conducted among patients admitted to the Emergency Department of a tertiary centre from May 2018 to April 2020 after obtaining ethical approval from the Institutional Review Committee (Reference number: 356). Convenience sampling method was used among patients who met the eligibility criteria. All relevant data were extracted using hospital records. Point estimate and 95% Confidence Interval were calculated.

Results

Out of 3486 medicolegal cases registered in the Department of Emergency, 856 (24.55%) (28.37-29.96 at 95% Confidence interval) were cases of mechanical injuries. Males 616 (71.96%) outnumbered females for all types of mechanical injuries. Road Traffic Accident 527 (61.56%) was the leading cause of injury and lacerations 351 (29.52%) were the most common pattern of injury. The majority 628 (73.36%) of the injuries were simple in nature.

Conclusions

The prevalence of mechanical injuries among medicolegal cases was similar in our study compared to other studies done in similar settings. The majority of the injuries were caused by traffic accidents, which could have been prevented if a safe system approach to road safety was followed.

Keywords

accidents; documentation; forensic medicine; injuries; Nepal.

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

BACKGROUND

Early identification of bleeding at the scene of an injury is important for triage and timely treatment of injured patients and transport to an appropriate facility. The aim of the study is to compare the performance of different bleeding scores.

METHODS

We examined data from the Swiss Trauma Registry for the years 2015-2019. The Swiss Trauma Registry includes patients with major trauma (injury severity score (ISS) ≥ 16 and/or abbreviated injury scale (AIS) head ≥ 3) admitted to any level-one trauma centre in Switzerland. We evaluated ABC, TASH and Shock index (SI) scores, used to predict massive transfusion (MT) and the BATT score and used to predict death from bleeding. We evaluated the scores when used prehospital and in-hospital in terms of discrimination (C-Statistic) and calibration (calibration slope). The outcomes were early death within 24 h and the receipt of massive transfusion (≥ 10 Red Blood cells (RBC) units in the first 24 h or ≥ 3 RBC units in the first hour).

RESULTS

We examined data from 13,222 major trauma patients. There were 1,533 (12%) deaths from any cause, 530 (4%) early deaths within 24 h, and 523 (4%) patients who received a MT (≥ 3 RBC within the first hour). In the prehospital setting, the BATT score had the highest discrimination for early death (C-statistic: 0.86, 95% CI 0.84-0.87) compared to the ABC score (0.63, 95% CI 0.60-0.65) and SI (0.53, 95% CI 0.50-0.56), P < 0.001. At hospital admission, the TASH score had the highest discrimination for MT (0.80, 95% CI 0.78-0.82). The positive likelihood ratio for early death were superior to 5 for BATT, ABC and TASH. The negative likelihood ratio for early death was below 0.1 only for the BATT score.

CONCLUSIONS

The BATT score accurately estimates the risk of early death with excellent performance, low undertriage, and can be used for prehospital treatment decision-making. Scores predicting MT presented a high undertriage rate. The outcome MT seems not appropriate to stratify the risk of life-threatening bleeding.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT04561050 . Registered 15 September 2020.

The Impact on the Clinical Prognosis of Low Serum Selenium Level in Patients with Severe Trauma: Systematic Review and Meta-Analysis

This study was designed to examine the most up-to-date evidence about how low plasma selenium (Se) concentration affects clinical outcomes, such as mortality, infectious complications, and length of ICU or hospital stay, in patients with major trauma. We searched three databases (MEDLINE, EMBASE, and Web of Science) with the following keywords: "injury", "trauma", "selenium", and "trace element". Only records written in English published between 1990 and 2021 were included for analysis. Four studies were eligible for meta-analyses. The results of the meta-analysis showed that a low serum selenium level did not exert a negative effect on the mortality rate (OR 1.07, 95% CI: 0.32, 3.61, p = 0.91, heterogeneity, I2 = 44%). Regarding the incidence of infectious complications, there was no statistically significant deficit after analyses of the four studies (OR 1.61, 95% CI: 0.64, 4.07, p = 0.31, heterogeneity, I2 = 70%). There were no differences in the days spent in the ICU (difference in means (MD) 1.53, 95% CI: -2.15, 5.22, p = 0.41, heterogeneity, I2 = 67%) or the hospital length of stay (MD 6.49, 95% CI: -4.05, 17.02, p = 0.23, heterogeneity, I2 = 58%) in patients with low serum Se concentration. A low serum selenium level after trauma is not uncommon. However, it does not negatively affect mortality and infection rate. It also does not increase the overall length of ICU and hospital stays.

The Impact of Selenium Supplementation on Trauma Patients-Systematic Review and Meta-Analysis

This study aimed to assess current evidence regarding the effect of selenium (Se) supplementation on the prognosis in patients sustaining trauma. MEDLINE, Embase, and Web of Science databases were searched with the following terms: “trace element”, “selenium”, “copper”, “zinc”, “injury”, and “trauma”. Seven studies were included in the meta-analysis. The pooled results showed that Se supplementation was associated with a lower mortality rate (OR 0.733, 95% CI: 0.586, 0.918, p = 0.007; heterogeneity, I² = 0%). Regarding the incidence of infectious complications, there was no statistically significant benefit after analyzing the four studies (OR 0.942, 95% CI: 0.695, 1.277, p = 0.702; heterogeneity, I² = 14.343%). The patients with Se supplementation had a reduced ICU length of stay (standard difference in means (SMD): −0.324, 95% CI: −0.382, −0.265, p < 0.001; heterogeneity, I² = 0%) and lesser hospital length of stay (SMD: −0.243, 95% CI: −0.474, −0.012, p < 0.001; heterogeneity, I² = 45.496%). Se supplementation after trauma confers positive effects in decreasing the mortality and length of ICU and hospital stay.

Epidemiological changes of geriatric trauma in the United Arab Emirates

ABSTRACT

We aimed to study the epidemiological changes in geriatric trauma in Al-Ain City, United Arab Emirates, in the past decade to give recommendations on injury prevention.Trauma patients aged 65 years and above who were hospitalized at Al-Ain Hospital for more than 24 hours or died in the hospital after their arrival regardless of the length of stay were studied. Data were extracted from the Al-Ain Hospital trauma registry. Two periods were compared; March 2003 to March 2006 and January 2014 to December 2017. Studied variables which were compared included demography, mechanism of injury and its location, and clinical outcome.There were 66 patients in the first period and 200 patients in the second period. The estimated annual incidence of hospitalized geriatric trauma patients in Al-Ain City was 8.5 per 1000 geriatric inhabitants in the first period compared with 7.8 per 1000 geriatric inhabitants in the second period. Furthermore, mortality was reduced from 7.6% to 2% (P = 0.04). There was a significant increase in falls on the same level by14.9% (62.1%-77%, P = 0.02, Pearson χ2 test). This was associated with a significant increase of injuries occurring at home (55.4%-78.7% P = 0.0003, Fisher Exact test). There was also a strong trend in the reduction of road traffic collision injuries which was reduced by 10.8% (27.3%-16.5%, P = 0.07, Fisher Exact test).Although the incidence and severity of geriatric trauma did not change over the last decade, in-hospital mortality has significantly decreased over time. There was a significant increase in injuries occurring at homes and in falls on the same level. The home environment should be targeted in injury prevention programs so as to reduce geriatric injuries.

Revised Injury Severity Classification II (RISC II) is a predictor of mortality in REBOA-managed severe trauma patients

The evidence supporting the use of Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) in severely injured patients is still debatable. Using the ABOTrauma Registry, we aimed to define factors affecting mortality in trauma REBOA patients. Data from the ABOTrauma Registry collected between 2014 and 2020 from 22 centers in 13 countries globally were analysed. Of 189 patients, 93 died (49%) and 96 survived (51%). The demographic, clinical, REBOA criteria, and laboratory variables of these two groups were compared using non-parametric methods. Significant factors were then entered into a backward logistic regression model. The univariate analysis showed numerous significant factors that predicted death including mechanism of injury, ongoing cardiopulmonary resuscitation, GCS, dilated pupils, systolic blood pressure, SPO2, ISS, serum lactate level and Revised Injury Severity Classification (RISCII). RISCII was the only significant factor in the backward logistic regression model (p < 0.0001). The odds of survival increased by 4% for each increase of 1% in the RISCII. The best RISCII that predicted 30-day survival in the REBOA treated patients was 53.7%, having a sensitivity of 82.3%, specificity of 64.5%, positive predictive value of 70.5%, negative predictive value of 77.9%, and usefulness index of 0.385. Although there are multiple significant factors shown in the univariate analysis, the only factor that predicted 30-day mortality in REBOA trauma patients in a logistic regression model was RISCII. Our results clearly demonstrate that single variables may not do well in predicting mortality in severe trauma patients and that a complex score such as the RISC II is needed. Although a complex score may be useful for benchmarking, its clinical utility can be hindered by its complexity.

Trauma-registry survival outcome follow up: 30 days is mandatory and appears sufficient

INTRODUCTION

Thirty-day in-hospital mortality is a common outcome measure in trauma-registry research and benchmarking. However, this does not include deaths after hospital discharge before 30 days or late deaths beyond 30 days since the injury. To evaluate the reliability of this outcome measure, we assessed the timing and causes of death during the first year after major blunt trauma in patients treated at a single tertiary trauma center.

METHODS

We used the Helsinki Trauma Registry to identify severely injured (NISS ≥ 16) blunt trauma patients during 2006 to 2015. The Population Register center of Finland provided the mortality data for patients and Statistics Finland provided the cause of death information from death certificates. Disease, work-related disease, medical treatment, and unknown cause of death were considered as non-trauma related deaths. We divided the 1-year study period into the following three categories: in-hospital death before 30 days (Group 1), death after discharge but within 30 days (Group 2), and death 31 to 365 days since admission (Group 3).

RESULTS

We included 3557 patients with a median NISS of 29. Altogether, 21.8% (776/3557) patients died during the first year since the injury. Of these non-survivors, 12.7% (450) were in Group 1, 4.0% (141) in Group 2, and 5.2% (185) in Group 3. Non-traumatic deaths not directly related to the injury increased substantially as the time from the injury increased and were 2.0% (9/450) in Group 1, 13.5% (19/141) in Group 2, and 35.7% (66/185) in Group 3.

CONCLUSION

Thirty-day mortality is a proper outcome that measures survival after severe blunt trauma. However, applying only in-hospital mortality instead of actual 30-day mortality may exclude non-survivors who die at another facility before day 30. This could result in over-optimistic benchmarking results. On the other hand, extending the follow-up period beyond 30 days increases the rate of non-traumatic deaths. By combining data from different registries, it is possible to address this challenge in current trauma-registry research caused by lack of follow up.

Club Cell Protein 16 Attenuates CD16brightCD62dim Immunosuppressive Neutrophils in Damaged Tissue upon Posttraumatic Sepsis-Induced Lung Injury

Background

Recently, identification of immunosuppressive polymorphonuclear leukocytes (PMNL) that were traditionally described as proinflammatory cells emerged in the field of posttraumatic immunity. To understand their local and remote distribution after trauma, PMNL-subsets and the impact of immunomodulatory Club Cell protein (CC)16 that correlates with pulmonary complications were assessed.

Methods

C57BL/6N mice were divided into three groups, receiving isolated blunt chest trauma (TxT), undergoing TxT followed by cecal ligation and puncture (CLP, TxT + CLP) after 24 h, or sham undergoing analgosedation (n = 18/group). Further, each group was subdivided into three groups receiving either no treatment (ctrl) or intratracheal neutralization of CC16 by application of anti-CC16-antibody or application of an unspecific IgG control antibody (n = 6/group). Treatment was set at the time point after TxT. Analyses followed 6 h post-CLP. PMNL were characterized via expression of CD11b, CD16, CD45, CD62L, and Ly6G by flow cytometry in bone marrow (BM), blood, spleen, lung, liver, and bronchoalveolar and peritoneal lavage fluid (BALF and PL). Apoptosis was assessed by activated (cleaved) caspase-3. Results from untreated ctrl and IgG-treated mice were statistically comparable between all corresponding sham, TxT, and TxT + CLP groups.

Results

Immature (CD16^dimCD62L^bright) PMNL increased significantly in BM, circulation, and spleen after TxT vs. sham and were significantly attenuated in the lungs, BALF, PL, and liver. Classical-shaped (CD16^brightCD62L^bright) PMNL increased after TxT vs. sham in peripheral tissue and were significantly attenuated in circulation, proposing a trauma-induced migration of mature or peripheral differentiation of circulating immature PMNL. Immunosuppressive (CD16^brightCD62L^dim) PMNL decreased significantly in the lungs and spleen, while they systemically increased after TxT vs. sham. CLP in the TxT + CLP group reduced immunosuppressive PMNL in PL and increased their circulatory rate vs. isolated TxT, showing local reduction in affected tissue and their increase in nonaffected tissue. CC16 neutralization enhanced the fraction of immunosuppressive PMNL following TxT vs. sham and decreased caspase-3 in the lungs post-CLP in the TxT + CLP group, while apoptotic cells in the liver diminished post-TxT. Posttraumatic CC16 neutralization promotes the subset of immunosuppressive PMNL and antagonizes their posttraumatic distribution.

Conclusion

Since CC16 affects both the distribution of PMNL subsets and apoptosis in tissues after trauma, it may constitute as a novel target to beneficially shape the posttraumatic tissue microenvironment and homeostasis to improving outcomes.

Validation of the BATT score for prehospital risk stratification of traumatic haemorrhagic death: usefulness for tranexamic acid treatment criteria

BACKGROUND

Tranexamic acid reduces surgical blood loss and reduces deaths from bleeding in trauma patients. Tranexamic acid must be given urgently, preferably by paramedics at the scene of the injury or in the ambulance. We developed a simple score (Bleeding Audit Triage Trauma score) to predict death from bleeding.

METHODS

We conducted an external validation of the BATT score using data from the UK Trauma Audit Research Network (TARN) from 1st January 2017 to 31st December 2018. We evaluated the impact of tranexamic acid treatment thresholds in trauma patients.

RESULTS

We included 104,862 trauma patients with an injury severity score of 9 or above. Tranexamic acid was administered to 9915 (9%) patients. Of these 5185 (52%) received prehospital tranexamic acid. The BATT score had good accuracy (Brier score = 6%) and good discrimination (C-statistic 0.90; 95% CI 0.89-0.91). Calibration in the large showed no substantial difference between predicted and observed death due to bleeding (1.15% versus 1.16%, P = 0.81). Pre-hospital tranexamic acid treatment of trauma patients with a BATT score of 2 or more would avoid 210 bleeding deaths by treating 61,598 patients instead of avoiding 55 deaths by treating 9915 as currently.

CONCLUSION

The BATT score identifies trauma patient at risk of significant haemorrhage. A score of 2 or more would be an appropriate threshold for pre-hospital tranexamic acid treatment.

Training to identify red flags in the acute care of trauma: who are the patients at risk for early death despite a relatively good prognosis? An analysis from the TraumaRegister DGU®

Background

In the acute care of trauma, some patients with a low estimated risk of death die suddenly and unexpectedly. In this study, we aim to identify predictors for early death within 24 h following hospital admission in low-risk patients.

Methods

The TraumaRegister DGU® was used to collect records of patients who were primarily treated in a participating hospital between 2004 and 2013 with a RISC II score below 10%.

Results

During the study period, 64,379 patients met the inclusion criteria. The mean RISC II score was 2.0%, and the mean ISS was 16 ± 9. The overall hospital mortality rate was 2.1%, and 0.5% of patients (n = 301) died within the first 24 h. A SPB of ≤ 90 mmHg was associated with an increased risk of death (p < 0.001). An AIS abdomen score of ≥ 3 was associated with increased risk of death within the first 24 h (p < 0.001). A high risk of early death was also seen in patients with an AIS score (thorax) ≥ 3; 51% of those who died died within the first 24 h (p < 0.005). Death in patients over 60 years was more common after 24 h (p < 0.001). Patients with an ASA score of ≥ 3 were more likely to die after the first 24 h (p < 0.001).

Conclusions

Indicators predicting a high risk of early death in patients with a low RISC II score include a SPB ≤ 90 mmHg and severe chest and abdominal trauma. Emergency teams involved in the acute care of trauma patients should be aware of these “red flags” and treat their patients accordingly.

The Importance of Place of Residence on Hospitalized Outcomes for Severely Injured Trauma Patients: A Trauma Registry Analysis

PURPOSE

Socioecological factors are understudied in relation to trauma patients' outcomes. This study investigated the association of neighborhood socioeconomic disadvantage (SED) and remoteness of residence on acute length of hospital stay days (ALSD) and inpatient mortality.

METHODS

A retrospective cohort study was conducted on adults hospitalized for major trauma in a Level 1 trauma center in southeast Queensland from 2014 to 2017. Neighborhood SED and remoteness indices were linked to individual patient variables. Step-wise multivariable negative binomial regression and proportional hazards regression analyses were undertaken, adjusting for injury and patient factors. Outcomes were ALSD and inpatient mortality.

FINDINGS

We analyzed 1,025 patients. Statistically significant increased hazard of inpatient mortality was found for older age (HR 3.53, 95% CI: 1.77-7.11), injury severity (HR 5.27, 95% CI: 2.78-10.02), remoteness of injury location (HR 1.75, 95% CI: 1.06-2.09), and mechanisms related to intentional self-harm or assault (HR 2.72, 95% CI: 1.48-5.03,). Excess mortality risk was apparent for rural patients sustaining less severe injuries (HR 4.20, 95% CI: 1.35-13.10). Increased risk for longer ALSD was evident for older age (RR 1.35, 95% CI: 1.07-1.71), head injury (RR 1.39, 95% CI: 1.19-1.62), extremity injuries (RR 1.82, 95% CI: 1.55-2.14), and higher injury severity scores (ISS) (RR 1.51, 95%: CI: 1.29-1.76).

CONCLUSIONS

Severely injured rural trauma patients are more likely to be socioeconomically disadvantaged and sustain injuries predisposing them to worse hospital outcomes. Further research is needed to understand more about care pathways and factors influencing the severity, mechanism and clinical consequences of rural-based traumatic injuries.

Short-term outcome following significant trauma: increasing age per se has only a relatively low impact

PURPOSE

Ongoing demographic changes go hand in hand with an increasing number of elderly injured. Given the conflicting literature we wanted to know how much age per se, apart from other factors, actually explains the outcome for elderly trauma patients.

METHODS

Retrospective analysis of prospectively collected data on all significantly injured (new injury severity score, NISS  ≥ 8) adult patients treated at a Swiss trauma center between 01.01.2010 and 31.12.2017. The association of age and other demographic, trauma or treatment-related variables on parameters of short-term outcome was examined using uni- and multivariate analyses (mean ± SD; R²; p < 0.05).

RESULTS

2692 consecutive patients (33.4% female; mean age 58.1 ± 21.7; hospital mortality 10.1%) were studied. Detailed analysis of quinquennial age groups demonstrated a significant decline in outcome with regard to mortality or return-to-home rate following hospital discharge after the age of 60 years (p < 0.001). In univariate analysis, age explained 4.6% and the number of years ≥ 60 5.9% of hospital mortality. In multivariate analysis, the investigated demographic, trauma or treatment-related parameters contributed at 36.5% to prediction of mortality, age added another 1.5% and number of years  ≥ 60 another 2.1% (R²).

CONCLUSION

This monocenter evaluation showed a significant decline in short-term outcome and an increase in hospital resource requirements by the trauma patients investigated after the age of 60 years. Even so, after controlling for demographic, injury and treatment variables, age per se only added less than 2% to the prediction of hospital mortality.

Unsupervised Clustering Analysis Based on MODS Severity Identifies Four Distinct Organ Dysfunction Patterns in Severely Injured Blunt Trauma Patients

Purpose: We sought to identify a MODS score parameter that highly correlates with adverse outcomes and then use this parameter to test the hypothesis that multiple severity-based MODS clusters could be identified after blunt trauma. Methods: MOD score across days (D) 2-5 was subjected to Fuzzy C-means Clustering Analysis (FCM) followed by eight Clustering Validity Indices (CVI) to derive organ dysfunction patterns among 376 blunt trauma patients admitted to the intensive care unit (ICU) who survived to discharge. Thirty-one inflammation biomarkers were assayed (Luminex™) in serial blood samples (3 samples within the first 24 h and then daily up to D 5) and were analyzed using Two-Way ANOVA and Dynamic Network analysis (DyNA). Results: The FCM followed by CVI suggested four distinct clusters based on MOD score magnitude between D2 and D5. Distinct patterns of organ dysfunction emerged in each of the four clusters and exhibited statistically significant differences with regards to in-hospital outcomes. Interleukin (IL)-6, MCP-1, IL-10, IL-8, IP-10, sST2, and MIG were elevated differentially over time across the four clusters. DyNA identified remarkable differences in inflammatory network interconnectivity. Conclusion: These results suggest the existence of four distinct organ failure patterns based on MOD score magnitude in blunt trauma patients admitted to the ICU who survive to discharge.

Reverse shock index multiplied by Glasgow Coma Scale (rSIG) predicts mortality in severe trauma patients with head injury

The reverse shock index (rSI), a ratio of systolic blood pressure (SBP) to heart rate (HR), is used to identify prognosis in trauma patients. Multiplying rSI by Glasgow Coma Scale (rSIG) can possibly predict better in-hospital mortality in patients with trauma. However, rSIG has never been used to evaluate the mortality risk in adult severe trauma patients (Injury Severity Score [ISS] ≥ 16) with head injury (head Abbreviated Injury Scale [AIS] ≥ 2) in the emergency department (ED). This retrospective case control study recruited adult severe trauma patients (ISS ≥ 16) with head injury (head AIS ≥ 2) who presented to the ED of two major trauma centers between January 01, 2014 and May 31, 2017. Demographic data, vital signs, ISS scores, injury mechanisms, laboratory data, managements, and outcomes were included for the analysis. Logistic regression and receiver operating characteristic analysis were used to evaluate the accuracy of rSIG score in predicting in-hospital mortality. In total, 438 patients (mean age: 56.48 years; 68.5% were males) were included in this study. In-hospital mortality occurred in 24.7% patients. The median (interquartile range) ISS score was 20 (17-26). Patients with rSIG ≤ 14 had seven-fold increased risks of mortality than those without rSIG ≤ 14 (odds ratio: 7.64; 95% confidence interval: 4.69-12.42). Hosmer-Lemeshow goodness-of-fit test and area under the curve values for rSIG score were 0.29 and 0.76, respectively. The sensitivity, specificity, positive predictive value, and negative predictive values of rSIG ≤ 14 were 0.71, 0.75, 0.49, and 0.89, respectively. The rSIG score is a prompt and simple tool to predict in-hospital mortality among adult severe trauma patients with head injury.

Attenuation of MODS-related and ARDS-related mortality makes infectious complications a remaining challenge in the severely injured

Introduction

The recent decrease in multiple organ dysfunction syndrome (MODS)-associated and adult respiratory distress syndrome (ARDS)-associated mortality could be considered a success of improvements in trauma care. However, the incidence of infections remains high in patients with polytrauma, with high morbidity and hospital resources usage. Infectious complications might be a residual effect of the decrease in MODS-related/ARDS-related mortality. This study investigated the current incidence of infectious complications in polytrauma.

Methods

A 5.5-year prospective population-based cohort study included consecutive severely injured patients (age >15) admitted to a (Level-1) trauma center intensive care unit (ICU) who survived >48 hours. Demographics, physiologic and resuscitation parameters, multiple organ failure and ARDS scores, and infectious complications (pneumonia, fracture-related infection, meningitis, infections related to blood, wound, and urinary tract) were prospectively collected. Data are presented as median (IQR), p<0.05 was considered significant.

Results

297 patients (216 (73%) men) were included with median age of 46 (27–60) years, median Injury Severity Score was 29 (22–35), 96% sustained blunt injuries. 44 patients (15%) died. One patient (2%) died of MODS and 1 died of ARDS. 134 patients (45%) developed 201 infectious complications. Pneumonia was the most common complication (50%). There was no difference in physiologic parameters on arrival in emergency department and ICU between patients with and without infectious complications. Patients who later developed infections underwent more often a laparotomy (32% vs 18%, p=0.009), had more often pelvic fractures (38% vs 25%, p=0.02), and received more blood products <8 hours. They had more often MODS (25% vs 13%, p=0.005), stayed longer on the ventilator (10 (5–15) vs 5 (2–8) days, p<0.001), longer in ICU (11 (6–17) vs 6 (3–10) days, p<0.001), and in hospital (30 (20–44) vs 16 (10–24) days, p<0.001). There was however no difference in mortality (12% vs 17%, p=0.41) between both groups.

Conclusion

45% of patients developed infectious complications. These patients had similar mortality rates, but used more hospital resources. With low MODS-related and ARDS-related mortality, infections might be a residual effect, and are one of the remaining challenges in the treatment of patients with polytrauma.

Level of evidence

Level 3.

Study type

Population-based cohort study.

The association between the initial lactate level and need for massive transfusion in severe trauma patients with and without traumatic brain injury

Background

Exsanguination is a major cause of death in severe trauma patients. The purpose of this study was to analyze the prognostic impact of the initial lactate level for massive transfusion (MT) in severe trauma. We divided patients according to subgroups of traumatic brain injury (TBI) and non-TBI.

Methods

This single-institution retrospective study was conducted on patients who were admitted to hospital for severe trauma between January 2016 and December 2017. TBI was defined by a head Abbreviated Injury Scale ≥3. Receiver operating characteristic analysis was used to analyze the prognostic impact of the lactate level. Multivariate analyses were performed to evaluate the relationship between the MT and lactate level. The primary outcome was MT.

Results

Of the 553 patients, MT was performed in 62 patients (11.2%). The area under the curve (AUC) for the lactate level for predicting MT was 0.779 (95% confidence interval [CI], 0.742 to 0.813). The AUCs for lactate level in the TBI and non-TBI patients were 0.690 (95% CI, 0.627 to 0.747) and 0.842 (95% CI, 0.796 to 0.881), respectively. In multivariate analyses, the lactate level was independently associated with the MT (odds ratio [OR], 1.179; 95% CI, 1.070 to 1.299). The lactate level was independently associated with MT in non-TBI patients (OR, 1.469; 95% CI, 1.262 to 1.710), but not in TBI patients.

Conclusions

The initial lactate level may be a possible prognostic factor for MT in severe trauma. In TBI patients, however, the initial lactate level was not suitable for predicting MT.

Trauma Induces Interleukin-17A Expression on Th17 Cells and CD4+ Regulatory T Cells as Well as Platelet Dysfunction

Background: The organism's immune response to trauma is distinctively controlled, its dysregulation leading to severe post-traumatic complications. Platelets, CD4+ regulatory T cells (CD4+ Tregs) and T helper 17 (Th17) cells have been identified to participate in the post-traumatic immune response. Unfortunately, little is known about their exact role and potential interdependency in humans. Aims of this clinical trial were to phenotype the human immune response following injury and to identify risk factors rendering the host more susceptible to trauma induced injury.

Methods: This non-interventional prospective clinical trial enrolled patients following multiple trauma, follow up was conducted for 10 days. Peripheral blood CD4+ Tregs and Th17 cells were analyzed using flow cytometry to determine Interleukin 17A (IL-17A) expression. Hemostasis and platelet function were assessed with rotational thromboelastometry (ROTEM^®). Subgroup analysis was conducted for the factors gender, age, and trauma severity.

Results and Conclusion: This is the first clinical trial to phenotype the immune response following trauma, focusing on platelets, and the adaptive immune response. We discovered a novel increased IL-17A expression on Th17 cells and on CD4+ Tregs following trauma and describe the kinetics of the immune response. The IL-17A response on CD4+ Tregs challenges the ascribed role of CD4+ Tregs to be solely counter inflammatory in this setting. Furthermore, despite a rising number of platelets, ROTEM analysis shows post-traumatic platelet dysfunction. Subgroup analysis revealed gender, age, and trauma severity as influencing factors for several of the analyzed parameters.

Trauma care before and after optimisation in a level I trauma Centre: Life-saving changes

BACKGROUND

The implementation of trauma systems has led to a significant reduction in mortality and length of hospital stay. In our level I trauma centre, 24/7 in-hospital coverage was implemented, and a renovation of the trauma room took place to improve the trauma care. The aim of the present study was to examine the effect of the optimised in-hospital infrastructure in terms of mortality, processes and clinical outcomes.

METHODS

We performed a retrospective cohort study of prospectively collected data. All adult trauma patients admitted to our trauma centre directly during two time periods (2010-2012 and 2014-2016) were included. Any patients below the age of 18 years and patients who underwent primary trauma screening in another hospital were excluded. Logistic and linear regression were used and adjusted for demographics and characteristics of trauma. The primary endpoint was mortality. The secondary endpoints were subgroups of earlier mortality rates and severely injured patients, processes and clinical outcomes.

RESULTS

In period I, 1290 patients were included, and in period II, 2421. The adjusted mortality in the trauma room (odds ratio (OR): 0.18; CI: 0.05-0.63) and the total in-hospital mortality (OR: 0.63 CI: 0.42-0.95) showed a significant reduction in period II. The trauma room (TR) time decreased by 30 min (p < 0.001), and the time until CT decreased by 22 min (p < 0.001). The number of delayed diagnoses and complications were significantly lower in the second period, with an OR of 0.2 (CI: 0.1-0.2) and 0.4 (CI: 0.3-0.6), respectively. The hospital length of stay and ICU length of stay decreased significantly, -1.5 day (p = 0.010) and -1.8 days (p = 0.022) respectively.

CONCLUSIONS

Optimisation of the in-hospital infrastructure related to trauma care resulted in improved survival rates in both severely injured patients as well as in the whole trauma population. Moreover, the processes and clinical outcomes improved, showing a shorter hospital length of stay, shorter TR time, fewer complications and fewer delayed diagnoses.

Evolution of high-energy pelvic trauma in southern Finland: a 12-year experience from a tertiary trauma centre

Purpose

We compared incidence, demographics, and injury mechanisms in severely injured patients with and without a pelvic ring fracture treated at a tertiary trauma centre. We also analyzed the changes in injury mechanisms that lead to high-energy pelvic trauma.

Methods

Data on severely injured adult patients (New Injury Severity Score [NISS] ≥16) from Helsinki Trauma Registry over the years 2006–2017 were reviewed. Patients with a pelvic ring fracture (PRF) and those without (N-PRF) were analyzed. Further subgrouping regarding time of the accident (2006–2009, 2010–2013, 2014–2017) was made. A comparison between groups was performed according to age, age > 60, gender, American Society of Anesthesiologists classification, injury scoring and mechanism, and 30-day in-hospital mortality.

Results

We included 545 PRF and 1048 N-PRF patients. Pelvic ring fracture patients were more likely to be female (39% vs 22%, p < 0.001), to be more severely injured (NISS 35.2 vs 30.4, p < 0.001), injured due to a high fall (41% vs 25%, p < 0.001), to have self-inflicted injuries (23% vs 8%, p < 0.001), and to have higher 30-day in-hospital mortality (13% vs 9%, p = 0.005). During the study period, we noted increasing mean age and proportion of patients aged > 60, improvement in outcome (shown by decreasing 30-day in-hospital mortality rate) in both groups, and a decrease in motor vehicle accidents (MVAs) leading to pelvic trauma (30–16%).

Conclusions

High-energy pelvic trauma can no longer be characterized as traffic accident injuries among young men. MVAs leading to pelvic trauma are decreasing and the most common injury mechanism is high fall. The patients are older and often female. Every fourth high-energy pelvic trauma was due to attempted suicide.

Resource use and clinical outcomes in blunt thoracic injury: a 10-year trauma registry comparison between southern Finland and Germany

PURPOSE

Serious thoracic injuries are associated with high mortality, morbidity, and costs. We compared patient populations, treatment, and survival of serious thoracic injuries in southern Finland and Germany.

METHODS

Mortality, patient characteristics and treatment modalities were compared over time (2006-2015) in all patients with Abbreviated Injury Scale (AIS) thorax ≥ 3, Injury Severity Score (ISS) > 15, age > 15 years, blunt trauma mechanism, and treatment in Intensive Care Unit (ICU) in Level 1 hospitals included in the Helsinki Trauma Registry (HTR) and the TraumaRegister DGU® (TR-DGU).

RESULTS

We included 934 patients from HTR and 25 448 patients from TR-DGU. Pre-hospital differences were seen between HTR and TR-DGU; transportation in the presence of a physician in 61% vs. 97%, helicopter use in 2% vs. 42%, intubation in 31% vs. 55%, and thoracostomy in 6% vs. 10% of cases, respectively. The mean hospital length of stay (LOS) and ICU LOS was shorter in HTR vs. TR-DGU (13 vs. 25 days and 9 vs. 12 days, respectively). Our main outcome measure, standardised mortality ratio, was not statistically significantly different [1.01, 95% confidence interval (CI) 0.84-1.18; HTR and 0.97, 95% CI 0.94-1.00; TR-DGU].

CONCLUSIONS

Major differences were seen in pre-hospital resources and use of pre-hospital intubation and thoracostomy. In Germany, pre-hospital intubation, tube thoracostomy, and on-scene physicians were more prevalent, while patients stayed longer in ICU and in hospital compared to Finland. Despite these differences in resources and treatment modalities, the standardised mortality of these patients was not statistically different.

Changes in the temporal distribution of in-hospital mortality in severely injured patients-An analysis of the TraumaRegister DGU

Background

The temporal distribution of trauma mortality has been classically described as a trimodal pattern with an immediate, early and late peak. In modern health care systems this time distribution has changed.

Methods

Data from the TraumaRegister DGU was analysed retrospectively. Between 2002 and 2015, all registered in-hospital deaths with an Injury Severity Score (ISS) ≥ 16 were evaluated considering time of death, trauma mechanism, injured body area, age distribution, rates of sepsis and multiple organ failure. Pre-hospital and post-discharge trauma deaths were not considered.

Results

78 310 severely injured patients were registered, non-survivors constituted 14 816, representing an in-hospital mortality rate of 18.9%. Mean ISS of non-survivors was 36.0±16.0, 66.7% were male, mean age was 59.5±23.5. Within the first hour after admission to hospital, 10.8% of deaths occurred, after 6 hours the percentage increased to 25.5%, after 12 hours 40.0%, after 24 hours 53.2% and within the first 48 hours 61.9%. Mortality showed a constant temporal decrease. Severe head injury (defined by Abbreviated Injury Scale, AIS-Head≥3) was found in 76.4% of non-survivors. Patients with an isolated head injury showed a more distinct decrease in survival rate, which was accentuated in the first days after admission. The correlation of age and time of death showed a proportional increase with age (55-74a). The rate of sepsis and multiple organ failure among non-survivors was 11.5% and 70.1%, respectively.

Conclusion

In a modern trauma care system, the mortality distribution of severely injured patients has changed its pattern, where especially the third peak is no longer detectable.

Severe head injury in elderly: 6-year comparison of treatment and outcome between southern Finland and Navarra (Spain)

PURPOSE

To compare the profile, treatment and outcome of elderly patients with severe traumatic brain injuries (TBI) between southern Finland and Navarra (Spain).

METHODS

Data collected from, 2010 to 2015, in the Major Trauma Registry of Navarra (MTR-N) and the Helsinki Trauma Registry (HTR) were compared. Patients with New Injury Severity Score (NISS) ≥ 16 and age ≥ 65 with isolated severe TBI were considered. Patients who had been admitted to the hospital ≥ 24 h after the trauma, had been pronounced dead before hospital arrival, or had been injured by hanging, drowning or burns, were excluded. Outcome was defined by 30-day hospital mortality. The expected mortality was calculated using the Revised Injury Severity Classification score II (RISC II). Other compared data included demographics, injury mechanism, pre-hospital and hospital treatment, and time intervals.

RESULTS

A total of 305 (MTR-N) and 137 (HTR) patients were included in the outcome analysis. The standardized mortality ratio with 95% confidence interval was for MTR-N 1.4 (1.1-1.6) and for HTR 0.8 (0.6-1.1). Patients in Navarra were older (average 79.7 vs. 75.0) while in southern Finland the percentage of pre-hospital intubation in patients with GCS ≤ 8 (75.0% vs 50.0%) and ICU admission (72.2% vs 22.0%) were higher.

CONCLUSION

The better adjusted outcome of elderly patients with severe TBI in southern Finland in comparison to Navarra could be due to higher rate of pre-hospital intubation and/or higher rate of ICU admissions in southern Finland. Increasing number of elderly patients with severe TBI necessitate uniformly accepted protocols in pre- and in-hospital management.

Increased reduction in exsanguination rates leaves brain injury as the only major cause of death in blunt trauma

INTRODUCTION

Central nervous system (CNS) related injuries and exsanguination have been the most common causes of death in trauma for decades. Despite improvements in haemorrhage control in recent years exsanguination is still a major cause of death. We conducted a prospective database study to investigate the current incidence of haemorrhage related mortality.

MATERIALS AND METHODS

A prospective database study of all trauma patients admitted to an urban major trauma centre between January 2007 and December 2016 was conducted. All in-hospital trauma deaths were included. Cause of death was reviewed by a panel of trauma surgeons. Patients who were dead on arrival were excluded. Trends in demographics and outcome were analysed per year. Further, 2 time periods (2007-2012 and 2013-2016) were selected representing periods before and after implementation of haemostatic resuscitation and damage control procedures in our hospital to analyse cause of death into detail.

RESULTS

11,553 trauma patients were admitted, 596 patients (5.2%) died. Mean age of deceased patients was 61 years and 61% were male. Mechanism of injury (MOI) was blunt in 98% of cases. Mean ISS was 28 with head injury the most predominant injury (mean AIS head 3.4). There was no statistically significant difference in sex and MOI over time. Even though deceased patients were older in 2016 compared to 2007 (67 vs. 46 years, p < 0.001), mortality was lower in later years (p = 0.02). CNS related injury was the main cause of death in the whole decade; 58% of patients died of CNS in 2007-2012 compared to 76% of patients in 2013-2016 (p = 0.001). In 2007-2012 9% died of exsanguination compared to 3% in 2013-2016 (p = 0.001).

DISCUSSION

In this cohort in a major trauma centre death by exsanguination has decreased to 3% of trauma deaths. The proportion of traumatic brain injury has increased over time and has become the most common cause of death in blunt trauma. Besides on-going prevention of brain injury future studies should focus on treatment strategies preventing secondary damage of the brain once the injury has occurred.

Comparative Analysis of the Regulatory T Cells Dynamics in Peripheral Blood in Human and Porcine Polytrauma

Background

Severely injured patients experience substantial immunological stress in the aftermath of traumatic insult, which often results in systemic immune dysregulation. Regulatory T cells (Treg) play a key role in the suppression of the immune response and in the maintenance of immunological homeostasis. Little is known about their presence and dynamics in blood after trauma, and nothing is known about Treg in the porcine polytrauma model. Here, we assessed different subsets of Treg in trauma patients (TP) and compared those to either healthy volunteers (HV) or data from porcine polytrauma.

Methods

Peripheral blood was withdrawn from 20 TP with injury severity score (ISS) ≥16 at the admittance to the emergency department (ED), and subsequently on day 1 and at day 3. Ten HV were included as controls (ctrl). The porcine polytrauma model consisted of a femur fracture, liver laceration, lung contusion, and hemorrhagic shock resulting in an ISS of 27. After polytrauma, the animals underwent resuscitation and surgical fracture fixation. Blood samples were withdrawn before and immediately after trauma, 24 and 72 h later. Different subsets of Treg, CD4+CD25+, CD4+CD25+FoxP3+, CD4+CD25+CD127-, and CD4+CD25+CD127-FoxP3+ were characterized by flow cytometry.

Results

Absolute cell counts of leukocytes were significantly increasing after trauma, and again decreasing in the follow-up in human and porcine samples. The proportion of human Treg in the peripheral blood of TP admitted to the ED was lower when compared to HV. Their numbers did not recover until 72 h after trauma. Comparable data were found for all subsets. The situation in the porcine trauma model was comparable with the clinical data. In porcine peripheral blood before trauma, we could identify Treg with the typical immunophenotype (CD4+CD25+CD127-), which were virtually absent immediately after trauma. Similar to the human situation, most of these cells expressed FoxP3, as assessed by intracellular FACS stain.

Conclusion

Despite minor percental differences in the recovery of Treg populations after trauma, our findings show a comparable decrease of Treg early after polytrauma, and strengthen the immunological significance of the porcine polytrauma model. Furthermore, the Treg subpopulation CD4+CD25+CD127- was characterized in porcine samples.

Innate immune responses to trauma

Trauma can affect any individual at any location and at any time over a lifespan. The disruption of macrobarriers and microbarriers induces instant activation of innate immunity. The subsequent complex response, designed to limit further damage and induce healing, also represents a major driver of complications and fatal outcome after injury. This Review aims to provide basic concepts about the posttraumatic response and is focused on the interactive events of innate immunity at frequent sites of injury: the endothelium at large, and sites within the lungs, inside and outside the brain and at the gut barrier.

Timing of mortality in pediatric trauma patients: A National Trauma Data Bank analysis

BACKGROUND/PURPOSE

The classic "trimodal" distribution of death has been described in adult patients, but the timing of mortality in injured children is not well understood. The purpose of this study was to define the temporal distribution of mortality in pediatric trauma patients.

METHODS

A retrospective cohort of patients with mortality from the National Trauma Data Bank (2007-2014) was analyzed. Categorical comparison of 'dead on arrival', 'death in the emergency department', and early (≤24h) or late (>24h) inpatient death was performed. Secondary analyses included mortality by pediatric age, predictors of early mortality, and late complication rates.

RESULTS

Children (N=5463 deaths) had earlier temporal distribution of death compared to adults (n=104,225 deaths), with 51% of children dead on arrival or in ED compared to 44% of adults (p<0.001). For patients surviving ED resuscitation, children and adolescents had a shorter median time to death than adults (1.2 d and 0.8 days versus 1.6 days, p<0.001). Older age, penetrating mechanism, bradycardia, hypotension, tube thoracostomy, and thoracotomy were associated with early mortality in children.

CONCLUSIONS

Injured children have higher incidence of early mortality compared to adults. This suggests that injury prevention efforts and strategies for improving early resuscitation have potential to improve mortality after pediatric injury.

LEVEL OF EVIDENCE

Level III: Retrospective cohort study.

Prognostic Performance Evaluation of the International Society on Thrombosis and Hemostasis and the Korean Society on Thrombosis and Hemostasis Scores in the Early Phase of Trauma

BACKGROUND

Disseminated intravascular coagulation (DIC) contributes to poor outcome in the early phase of trauma. We aimed to analyze and compare the prognostic performances of the International Society on Thrombosis and Hemostasis (ISTH) and the Korean Society on Thrombosis and Hemostasis (KSTH) scores in the early phase of trauma.

METHODS

Receiver operating characteristics analysis was used to examine the prognostic performance of both scores, and multivariate analysis was used to estimate the prognostic impact of the ISTH and KSTH scores in the early phase of trauma. The primary outcome was 24-hour mortality and the secondary outcome was massive transfusion.

RESULTS

Of 1,229 patients included in the study, the 24-hour mortality rate was 7.6% (n = 93), and 8.1% (n = 99) of patients who received massive transfusions. The area under the curves (AUCs) of the KSTH and ISTH scores for 24-hour mortality were 0.784 (95% confidence interval [CI], 0.760-0.807) and 0.744 (95% CI, 0.718-0.768), respectively. The AUC of KSTH and ISTH scores for massive transfusion were 0.758 (95% CI, 0.734-0.782) and 0.646 (95% CI, 0.619-0.673), respectively. The AUCs of the KSTH score was significantly different from those of the ISTH score. Overt DIC according to KSTH criteria only, was independently associated with 24-hour mortality (odds ratio [OR], 2.630; 95% CI, 1.456-4.752). Only the KSTH score was independently associated with massive transfusion (OR, 1.563; 95% CI, 1.182-2.068).

CONCLUSION

The KSTH score demonstrates a better prognostic performance for outcomes than the ISTH score in the early phase of trauma.

Effect of team training on efficiency of trauma care in a Chinese hospital

Objective

Multidisciplinary trauma teams are the standard of care in the USA, but staffing differences and lack of advanced trauma life support training hinder replication of this system in Chinese hospitals. We investigated the effect of simulation team training on initial trauma care.

Methods

Over 15 months, we compared grade I trauma patients cared for by the trained team and those cared for using traditional practice on times from emergency room arrival to tests/procedures. Propensity-score analysis was performed to improve between-group comparisons.

Results

During the study, 144 grade I trauma patients were treated. Trained team patients showed shorter times from emergency room arrival to initiation of hemostasis (31.0 [13.5–58.5] vs. 113.5 [77–150.50] min), blood routine report (8 [5–10.25] vs. 13 [10–21] min), other blood tests (21 [14.75–25.75] vs. 31 [25–37] min), computed tomography scan (29.5 [20.25–65] vs. 58.5 [30.25–71.25] min) and tranexamic acid administration (31 [13–65] vs. 90 [65–200] min). Similar results were obtained for the propensity-score matched cohort.

Conclusion

Simulation team training could help reduce time to blood routine reports, scans and hemostasis. Assessment of available resources and development of targeted team training could improve care in resource-limited hospitals.

What are the differences in injury patterns of young and elderly traffic accident fatalities considering death on scene and death in hospital?

Older traffic participants have higher risks of injury than the population up to 65 years in case of comparable road traffic accidents and further, higher mortality rates at comparable injury severities. Rib fractures as risk factors are currently discussed. However, death on scene is associated with hardly survivable injuries and might not be a matter of neither rib fractures nor age. As 60% of traffic accident fatalities are estimated to die on scene, they are not captured in hospital-based trauma registries and injury patterns remain unknown. Our database comprises 309 road traffic fatalities, autopsied at the Institute of Legal Medicine Munich in 2004 and 2005. Injuries are coded according to Abbreviated Injury Scale, AIS© 2005 update 2008 [1]. Data used for this analysis are age, sex, site of death, site of accident, traffic participation mode, measures of injury severity, and rib fractures. The injury patterns of elderly, aged 65+ years, are compared to the younger ones divided by their site of death. Elderly with death on scene more often show serious thorax injuries and pelvic fractures than the younger. Some hints point towards older fatalities showing less frequently serious abdominal injuries. In hospital, elderly fatalities show lower Injury Severity Scores (ISSs) compared to the younger. The number of rib fractures is significantly higher for the elderly but is not the reason for death. Results show that young and old fatalities have different injury patterns and reveal first hints towards the need to analyze death on scene more in-depth.

[Not Available]

Zusammenfassung. Die Versorgung von schwerverletzten Patienten stellt eine Hauptaufgabe der Unfallchirurgie dar. Aufgrund einer hohen Mortalität, insbesondere in den ersten 24 h nach Unfall, und Morbidität dieser Patienten ist initial ein gezieltes Vorgehen nach dem ABCDE-Algorithmus (ATLS®) notwendig. Nachdem lebensbedrohliche Verletzungen behandelt oder ausgeschlossen wurden, können weitere Verletzungen gesucht und therapiert werden. Das Timing und Ausmass dieser Therapien richtet sich nach pathophysiologischen Kriterien, den Verletzungen und den geplanten Eingriffen. Beim Vorliegen von negativen Prädiktoren sollte lediglich ein verkürztes operatives Vorgehen, sogenannte «damage control surgery», angewendet werden. Die definitive Versorgung erfolgt nach einer Phase der intensivmedizinischen Stabilisierung und Normalisierung der pathophysiologischen Werte (Körpertemperatur, pH, Gerinnung). Es folgt eine Anschlussbehandlung mit dem Ziel, den Patienten wieder möglichst gut in sein Leben zu integrieren.

Injury epidemiology in Iran: a systematic review

Background:

Injuries are the second greatest cause of mortality in Iran. Information about the epidemiological pattern of injuries is effective in decision-making. In this regard, the aim of the current study is to elaborate on the epidemiology of injuries in Iran through a systematic review.

Methods:

Required data were collected searching the following key words and their Persian equivalents; trauma, injury, accident, epidemiology, prevalence, pattern, etiology, risk factors and Iran. The following databases were searched: Google Scholar, PubMed, Scopus, MagIran, Iranian scientific information database (SID) and Iran Medex. Some of the relevant journals and web sites were searched manually. The lists of references from the selected articles were also investigated. We have also searched the gray literature and consulted some experts.

Results:

Out of 2747 retrieved articles, 25 articles were finally included in the review. A total of 3234481 cases have been investigated. Mean (SD) age among these cases was 30 (17.4) years. The males comprised 75.7% of all the patients. Only 31.1% of patients were transferred to hospital by ambulance. The most common mechanism of injuries was road traffic accidents (50.1%) followed by falls (22.3%). In road traffic accidents, motorcyclists have accounted for the majority of victims (45%). Roads were the most common accident scene for the injuries (57.5%). The most common injuries were to the head and neck. (47.3%). The mean (SD) Injury Severity Score (ISS) was 8.1(8.6%). The overall case-fatality proportion was 3.8% and 75% of all the mortalities related to road traffic accidents.

Conclusions:

The main priorities in reducing the burden of injuries include: the young, male target group, improving pre-hospital and ambulance services, preventing road traffic accidents, improving road safety and the safety of motorcyclists (compulsory helmet use, safer vehicles, dedicated motorcycle lanes).

Developing a trauma care syllabus for intensive care nurses in the United Kingdom: A Delphi study

BACKGROUND

Increased rates of mortality in the intensive care unit (ICU) following injury have been associated with a lack of trauma specific training. Despite this, training relevant to nurses is limited. Currently, little consideration has been given to understanding the potential training needs of ICU nurses in caring for critically injured patients.

OBJECTIVES

The aim of this study was to construct a consensus syllabus of trauma care for registered nurses working in an intensive care setting.

DESIGN

A two round modified Delphi was conducted.

METHODS

Twenty-eight intensive care professionals participated in the study in 2014 in the United Kingdom. Data were analysed using content and descriptive statistics.

RESULTS

Round-1 generated 343 subjects. Following analysis these were categorised into 75 subjects and returned to the panel for rating. An 82% (23/28) response rate to round-2 identified high consensus (equal to or greater than 80%) in 55 subjects, which reflected the most severely injured patients needs.

CONCLUSIONS

There is a requirement for specific training to prepare the ICU nurse for caring for the critically injured patient. This survey presents a potential core syllabus in trauma care and should be considered by educators to develop a meaningful programme of trauma education for ICU nurses.

Mortality Patterns in Patients with Multiple Trauma: A Systematic Review of Autopsy Studies

PURPOSE

A high percentage (50%-60%) of trauma patients die due to their injuries prior to arrival at the hospital. Studies on preclinical mortality including post-mortem examinations are rare. In this review, we summarized the literature focusing on clinical and preclinical mortality and studies included post-mortem examinations.

METHODS

A literature search was conducted using PubMed/Medline database for relevant medical literature in English or German language published within the last four decades (1980-2015). The following MeSH search terms were used in different combinations: "multiple trauma", "epidemiology", "mortality ", "cause of death", and "autopsy". References from available studies were searched as well.

RESULTS

Marked differences in demographic parameters and injury severity between studies were identified. Moreover, the incidence of penetrating injuries has shown a wide range (between 4% and 38%). Both unimodal and bimodal concepts of trauma mortality have been favored. Studies have shown a wide variation in time intervals used to analyze the distribution of death. Thus, it is difficult to say which distribution is correct.

CONCLUSIONS

We have identified variable results indicating bimodal or unimodal death distribution. Further more stundardized studies in this field are needed. We would like to encourage investigators to choose the inclusion criteria more critically and to consider factors affecting the pattern of mortality.