National Trauma Registry Research Articles

Incidence, Mechanisms of Injury and Mortality of Severe Traumatic Brain Injury: An Observational Population-Based Cohort Study from New Zealand and Norway

BackgroundComparing trauma registry data from different countries can help to identify possible differences in epidemiology, which may help to improve the care of trauma patients.MethodsThis study directly compares the incidence, mechanisms of injuries and mortality of severe TBI based on population-based data from the two national trauma registries from New Zealand and Norway. All patients prospectively registered with severe TBI in either of the national registries for the 4-year study period were included. Patient and injury variables were described and age-adjusted incidence and mortality rates were calculated.ResultsA total of 1378 trauma patients were identified of whom 751 (54.5%) from New Zealand and 627 (45.5%) from Norway. The patient cohort from New Zealand was significantly younger (median 32 versus 53 years; p < 0.001) and more patients from New Zealand were injured in road traffic crashes (37% versus 13%; p < 0.001). The age-adjusted incidence rate of severe TBI was 3.8 per 100,000 in New Zealand and 2.9 per 100,000 in Norway. The age-adjusted mortality rates were 1.5 per 100,000 in New Zealand and 1.2 per 100,000 in Norway. The fatality rates were 38.5% in New Zealand and 34.2% in Norway (p = 0.112).ConclusionsRoad traffic crashes in younger patients were more common in New Zealand whereas falls in elderly patients were the main cause for severe TBI in Norway. The age-adjusted incidence and mortality rates of severe TBI among trauma patients are similar in New Zealand and Norway. The fatality rates of severe TBI are still considerable with more than one third of patients dying.

Femur fractures and hemorrhagic shock: Implications for point of injury treatment

BackgroundFemur shaft fractures (FSF) are perceived as potentially life-threatening injuries due to significant blood loss. However, these injuries are rarely the sole cause of hemorrhagic shock. Clinical practice guidelines for the prehospital management of FSF are inconsistent, especially concerning the use and timing of traction splinting which is postulated to reduce bleeding. We sought to understand the association between FSF and shock, and identify risk factors for shock among casualties with FSF. MethodsThis is a retrospective analysis of trauma casualties treated by Israeli Defense Forces (IDF) medical teams between the years 2000–2020 and suffering from isolated FSF. Prehospital data from the IDF-Medical Corps Trauma Registry was merged with hospitalization data from the Israeli National Trauma Registry. Isolated FSF was analyzed by excluding casualties with an Injury Severity Score ≥ 16 and an Abbreviated Injury Scale ≥ 3 in other anatomical regions. Shock was defined as systolic blood pressure ≤ 90 mmHg and/or heart rate ≥ 130 beats per minute. A case series review was performed for casualties in shock with isolated FSF injuries. Multivariable logistic regression was performed to assess for injury characteristics associated with shock. ResultsDuring the study period, we identified 213 patients with FSF (4.9%) of which 129 were isolated injuries. Overall, 9.9% and 26.3% of casualties had concurrent thoracic and abdominal injuries, respectively. Most FSF were due to motor vehicle accidents (60.1%) and shock was present in 17.1%. In isolated FSF patients, gunshot and explosive injury mechanisms were prevalent (65.0%) with severe shock being present in 8.5%. Open fractures were present in 72.7% of isolated FSF patients in shock. Open FSF injuries were characterized by prehospital bleeding which was difficult to control. In a multivariable logistic regression model, severe concomitant injuries were associated with increased odds of shock. ConclusionsShock rarely presents when FSF is the primary injury. Such casualties predominantly suffer from open FSF which may present as difficult to control thigh bleeding. Our findings do not support urgent prehospital leg traction splinting which may result in delayed evacuation to definitive care. Casualties with shock and FSF should be investigated for other sources of bleeding. Leg traction splinting should be reserved for suspected FSF injuries with shock or persistent thigh bleeding.

Gunshot casualties in Israel: A decade of violence

ObjectiveThe purpose of this study was to identify and characterize casualties hospitalized with assault (non-terror) related gunshot wounds (GSW) in Israel as a basis for determining the incidence, trends and at-risk population groups. MethodsThis retrospective cohort study is based on data from the Israel National Trauma Registry. The data includes GSW casualties hospitalized between January 1, 2011 and December 31, 2020. Attempted suicide, unintentional injury, legal intervention, children (ages 0–9) and terror (Israeli-Arab conflict) related GSW were excluded. The remaining population was classified with an ICD-9-CM diagnosis code of 965.0–965.4. ResultsThe study population included 2,763 GSW admissions. A noticeable increase in GSW casualties was reported, from 206 hospitalization in 2011 to 456 in 2020. The proportion of Arab casualties increased from 73.3% of all GSW casualties in 2011 to 90.8% in 2020, far more than their proportion in the population (∼20%). The majority of the GSW casualties were males (95.8%) and between the ages of 20 and 29 (42.2%). Among severe/critical casualties, 19% of Arabs and 9.9% of Jews arrived by private car. Severe thoracic and abdominal injuries were the prominent injuries among fatal casualties (47.6 and 40.8, respectively). While the all-severity mortality rate was 5.6% (n = 147), 24.4% (n = 135) of severe/critical (ISS16+) casualties died, with no significant differences between Jews and Arabs. Forty percent of deaths occurred in the emergency department. ConclusionsThis study establishes that during the past decade in Israel, not only has there been a continuous increase in hospitalizations due to GSW, but also Arabs are at great risk of such related hospitalizations. Preventive strategies targeting at-risk groups are crucial for minimizing morbidity and mortality related to GSW in Israel.

Machine learning-based prediction of emergency neurosurgery within 24 h after moderate to severe traumatic brain injury

BackgroundRapid referral of traumatic brain injury (TBI) patients requiring emergency neurosurgery to a specialized trauma center can significantly reduce morbidity and mortality. Currently, no model has been reported to predict the need for acute neurosurgery in severe to moderate TBI patients. This study aims to evaluate the performance of Machine Learning-based models to establish to predict the need for neurosurgery procedure within 24 h after moderate to severe TBI.MethodsRetrospective multicenter cohort study using data from a national trauma registry (Traumabase®) from November 2011 to December 2020. Inclusion criteria correspond to patients over 18 years old with moderate or severe TBI (Glasgow coma score ≤ 12) during prehospital assessment. Patients who died within the first 24 h after hospital admission and secondary transfers were excluded. The population was divided into a train set (80% of patients) and a test set (20% of patients). Several approaches were used to define the best prognostic model (linear nearest neighbor or ensemble model). The Shapley Value was used to identify the most relevant pre-hospital variables for prediction.Results2159 patients were included in the study. 914 patients (42%) required neurosurgical intervention within 24 h. The population was predominantly male (77%), young (median age 35 years [IQR 24–52]) with severe head injury (median GCS 6 [3–9]). Based on the evaluation of the predictive model on the test set, the logistic regression model had an AUC of 0.76. The best predictive model was obtained with the CatBoost technique (AUC 0.81). According to the Shapley values method, the most predictive variables in the CatBoost were a low initial Glasgow coma score, the regression of pupillary abnormality after osmotherapy, a high blood pressure and a low heart rate.ConclusionMachine learning-based models could predict the need for emergency neurosurgery within 24 h after moderate and severe head injury. Potential clinical benefits of such models as a decision-making tool deserve further assessment. The performance in real-life setting and the impact on clinical decision-making of the model requires workflow integration and prospective assessment.

Predictive Utility of the Glasgow Coma Scale and the Head Abbreviated Injury Scale in Traumatic Brain Injury: Results from the National Trauma Registry of Iran

Background: Trauma severity indices are commonly used to describe the severity of sustained injuries in a quantitative manner perceivable by healthcare providers in different settings. In this study, we aimed to assess the predictive utility of the Glasgow Coma Scale (GCS) and the 2015 revision of the head Abbreviated Injury Scale (head AIS) as two of the most widely used severity indices for traumatic brain injury (TBI). Methods: In this cross-sectional study, we used data from the National Trauma Registry of Iran. The area under the receiver operating characteristic curve (AUROC) was calculated to assess the utility of GCS and head AIS scores in predicting patients’ outcomes. Results: A total of 321 patients, predominantly males (81.9%) with an average age of 41.9 (±19.5) years were enrolled in the study. The most common cause of injury was road traffic accidents (73.5%) followed by falls (20.2%). The mean admission GCS and head AIS scores were 13.5 (±3.2) and 2.5 (±1.0), respectively. AUROC of the GCS was significantly higher than the head AIS for all outcome variables (P&lt;0.05). AUROC of both severity scoring systems for predicting in-hospital mortality was significantly higher in the 15–44 age group than the 65 or older age group (P&lt;0.05). Conclusion: Based on our study results, GCS had better performance in predicting patients’ outcomes than the head AIS. Also, we found that age significantly affected the ability of these indices in predicting in-hospital mortality of TBI patients.

The association between helicopter emergency medical services and early casualty survival: a nationwide study.

Helicopter emergency medical services (HEMS) allow for shorter transport duration in long-distance evacuations and facilitate advanced en-route medical care access. Studies comparing HEMS with ground emergency medical services (GEMS), including the outcome of prehospital mortality, are lacking. This study aimed to evaluate the association between HEMS and early mortality in Israel. A retrospective cohort study was conducted of the cross-referenced Israel Defense Forces Trauma Registry and Israel National Trauma Registry databases. Univariable logistic regression was used to assess the association between HEMS and early mortality, defined as mortality within 1 day of the injury. Regression analysis was further performed stratifying by event type (military or civilian) or type of injury (penetrating or nonpenetrating). A total of 2344 casualties were included in the study, of whom 756 (32.3%) were evacuated by air. Early mortality rates were 90/1588 (5.7%) and 37/756 (4.9%) in GEMS and HEMS groups, respectively. Regression analysis found no significant analysis between HEMS and early mortality [OR, 0.86 (95% CI, 0.57-1.26)]. Stratified by event type, a nonsignificant association between HEMS and early mortality was demonstrated for combat [OR, 1.69 (95% CI, 0.79-3.92)] and noncombat [OR, 0.73 (95% CI, 0.4-1.25)] events. HEMS was associated with decreased early mortality among casualties with a penetrating injury [OR, 0.59 (95% CI, 0.34-0.98)] but not associated with early mortality among casualties with a nonpenetrating injury [OR, 0.84 (95% CI, 0.43-1.52)]. HEMS was not associated with a decrease in early mortality among trauma casualties in this study encompassing the prehospital and hospital scenes. There was a positive trend and a decrease in mortality from penetrating injuries. Further research to ascertain which casualties benefit from HEMS is warranted and will allow for more precise use of this expensive resource.

Decision effect of a deep-learning model to assist a head computed tomography order for pediatric traumatic brain injury

The study aims to measure the effectiveness of an AI-based traumatic intracranial hemorrhage prediction model in the decisions of emergency physicians regarding ordering head computed tomography (CT) scans. We developed a deep-learning model for predicting traumatic intracranial hemorrhages (DEEPTICH) using a national trauma registry with 1.8 million cases. For simulation, 24 cases were selected from previous emergency department cases. For each case, physicians made decisions on ordering a head CT twice: initially without the DEEPTICH assistance, and subsequently with the DEEPTICH assistance. Of the 528 responses from 22 participants, 201 initial decisions were different from the DEEPTICH recommendations. Of these 201 initial decisions, 94 were changed after DEEPTICH assistance (46.8%). For the cases in which CT was initially not ordered, 71.4% of the decisions were changed (p < 0.001), and for the cases in which CT was initially ordered, 37.2% (p < 0.001) of the decisions were changed after DEEPTICH assistance. When using DEEPTICH, 46 (11.6%) unnecessary CTs were avoided (p < 0.001) and 10 (11.4%) traumatic intracranial hemorrhages (ICHs) that would have been otherwise missed were found (p = 0.039). We found that emergency physicians were likely to accept AI based on how they perceived its safety.

Use of a national trauma registry to target violence reduction initiatives

BackgroundThe incidence of interpersonal violence resulting in penetrating traumatic injury has increased in the UK. Violence reduction initiatives vary across the world, from reactive diversionary schemes to proactive educational intervention. To be successful a collaborative public health approach to violence reduction is vital. We examined regional data collected in a trauma network area as part of mandatory national trauma data submission to establish whether useful data could be extracted from this type of registry to inform regional violence reduction initiatives. Key information required to accurately target initiatives includes: who are the victims? where do incidents occur? and when do incidents occur? MethodsData were obtained from the national Trauma Audit and Research Network (TARN). This study utilised TARN inclusion criteria. Data for penetrating trauma patients from hospital sites in the Severn Major Trauma Network over an eight-year period were included in the analysis (1 June 2012 to 5 April 2020). The data were analysed using SPSS Statistics V27 and TARN analytics software. Existing ethical approval for anonymised registry data (PIAG section 60) was used. ResultsOver the eight-year study period, 299 cases of penetrating trauma were registered in the Major Trauma Network. Overall, the incidence of penetrating trauma is increasing (R value +0.470, and +0.900 when 2020 excluded). Male victims account for 87.3% of cases (n=261). Younger individuals are more likely to be victims of penetrating trauma. The proportion of victims aged 13-18 years increased from 0% in 2012 to 21.6% in 2019. There were 43 (14.3%) incidents of victims presenting more than once during the study period. The early evening and hour after midnight had the highest numbers of penetrating trauma incidents. Most incidents occurred in a small proportion of postcodes. All the postcodes identified as having high incidence of penetrating injuries were also areas with high deprivation. ConclusionThis study demonstrated that national trauma registry data can be used to establish valuable information about serious penetrating trauma in a region. This data provides key information with which to target a proactive approach to violence reduction in our region with implications for public health, police, and clinical policymakers.

Epidemiology of Traumatic Orthopedic Injuries: A Cross-Sectional Survey from Northern Tehran, Iran

Background: Trauma is a leading cause of death and morbidity in developing countries. Previous research has revealed that epidemiological features of fractures may change from one study to the next. National Trauma Registry of Iran (NTRI) was launched in 2015, but it did not include any centers in northern Tehran, Iran. This study aimed to evaluate the epidemiology of fractures in the only Level 1 Trauma Center in that area.&#x0D; Methods: This retrospective cross-sectional study was performed on all patients with the primary diagnosis of orthopedic injury, from July to October 2019, who referred to the emergency department of Shohada Tajrish Hospital, Tehran. The patients’ files and operation notes were reviewed for demographics, medical history, physical examination, referral time, mechanism of injury, hospital stay, level of education, and intensive care unit (ICU) hospitalization.&#x0D; Results: 398 patients with orthopedic trauma were referred to the hospital with a mean age of 40.85 ± 21.03 years. 317 patients (79.65%) were men. The peak referral time was between 12 AM and 12 PM. A road traffic accident was the main cause of orthopedic trauma (39.4%). The mean days of hospital stay were 6.29 ± 5.36 days. The waiting time for surgery and days of hospital stay were related to the fracture site (high in lower extremity fractures) and older age.&#x0D; Conclusion: Trauma in northern Tehran is primarily caused by motor vehicle accidents and falls, respectively. Patients with older age and lower extremity fractures need more time of hospitalization.

Health Care Implications of the COVID-19 Pandemic for Patients with Severe Traumatic Brain Injury—A Nationwide, Observational Cohort Study

BackgroundContainment measures during the coronavirus disease of 2019 (COVID-19) pandemic have resulted in a substantial reduction in treatment of injury. The effect of the COVID-19 pandemic on the epidemiology and mortality of severe traumatic brain injury on a national, population-based level is unknown.MethodsData on all patients with severe traumatic brain injury between 2017 and 2020 were retrieved from the National Trauma Registry of Norway. The study cohort was derived from the pandemic period (March 12 to December 31, 2020) and the control cohort from the prepandemic years 2017 to 2019. The outcome measures were 30-day mortality, in-hospital mortality, and discharge destination.ResultsThis study included 522 trauma patients with severe traumatic brain injury, 387 (74.1%) in the prepandemic and 135 (25.9%) in the pandemic period. Length of stay increased significantly during the pandemic period (4 vs. 3 days; P = 0.014). The 30-day mortality rate was 39% (n = 149) in the prepandemic versus 38% (n = 52) pandemic period (P = 0.998). In-hospital mortality was 33% (n = 128) in the prepandemic versus 33% (n = 44) in the pandemic period (P = 0.920). There were no statistically significant differences in discharge destination besides the number of patients discharged to home in the pandemic period (P = 0.003). When adjusted for clinical relevant factors such as age, gender, and head injury severity, the mortality outcomes did not change during the pandemic period.ConclusionsThe containment and lockdown measures during the COVID-19 pandemic in Norway did not affect the number of patients or mortality of patients with severe traumatic brain injury.

Relative incidence and demographics of hip fractures among subjects over the age of 50 from the Ethiopian ethnic minority in Israel: A preliminary survey from the Israel National Trauma Registry (INTR) database between 2011-2020

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)

Injuries From Explosions: More Differences Than Similarities Between Various Types.

To compare injury patterns of different types of explosions. A retrospective study of 4508 patients hospitalized due to explosions recorded in the Israel National Trauma Registry between January 1997 and December 2018. The events were divided into 4 groups: terror-related, war-related, civilian intentional explosions, and civilian unintentional explosions. The groups were compared in terms of injuries sustained, utilization of hospital resources, and clinical outcomes. Civilian intentional and terror-related explosions were found to be similar in most aspects except for factors directly influencing mortality and a larger volume of severely injured body regions among terror-victims. Comparisons between other groups produced some parallels, albeit less consistent. Civilian intentional explosions and civilian unintentional explosions were different from each other in most aspects. The latter group also differed from others by its high volume of life-threatening burns and a higher proportion of children casualties. While consistent similarities between explosion casualties exist, especially between victims of intentional civilian and terror-related explosions, the general rule is that clinical experience with a type of explosion cannot be directly transferred to other types.

The impact of upper-extremity injuries on polytrauma patients at a level 1 trauma center.

Upper-extremity injuries often lead to long-term problems in function and quality of life in patients. However, not much is known about the effects in polytrauma patients. This study aimed to describe the upper-extremity injuries in polytrauma patients and to compare self-reported disability and quality of life in polytrauma patients with vs. without upper-extremity injuries. We performed a retrospective cohort study of adult patients with an Injury Severity Score ≥ 16 admitted to Erasmus MC between January 1, 2007, and December 31, 2016. Patients were asked to complete the Disabilities of the Arm, Shoulder and Hand, Short Form 36, and EuroQol-5D questionnaires. Details on injuries, treatment, and clinical outcome were collected from the national trauma registry and medical files. Characteristics and self-reported outcomes of polytrauma patients with vs. without upper-extremity injuries were compared. In a cohort of 3469 trauma patients, 1246 (36.5%) had upper-extremity injuries. Of these, 278 (22.0%) had severe injuries (Abbreviated Injury Scale score ≥ 3). Upper-extremity injuries were associated with a longer hospitalization (median, 12 days vs. 8 days; P < .001), longer intensive care unit stay (median, 5 days vs. 4 days; P = .005), and lower mortality rate (14.6% vs. 23.9%, P < .001). Among the 598 patients who completed the questionnaires, no differences in the physical component summary score (47 vs. 48, P = .181) and mental component summary score (54 vs. 53, P = .315) of the Short Form 36 questionnaire, as well as the utility score (0.82 vs. 0.85, P = .101) and visual analog scale score (80 vs. 80, P = .963) of the EuroQol-5D questionnaire, were found. However, patients with upper-extremity injuries showed a minor increase in disability in the Disabilities of the Arm, Shoulder and Hand score (9.2 vs. 4.2, P = .023). Upper-extremity injuries in polytrauma patients are associated with a longer hospitalization, longer intensive care unit stay, and reduced mortality rate, as well as a minor increase in long-term disability.

Burns in Israel: Etiologic, Demographic, and Clinical trends-A 9-Year Updated Comprehensive Study, 2004-2010 versus 2011-2019.

Based on the Israeli National Trauma Registry (INTR) data, this study reports etiological, demographic, and clinical trends and includes all admissions to burn and trauma centers across Israel from 2011 to 2019 and compares these with 2004 to 2010 rates. From 2011 to 2019, 5,710 patients were admitted to burn centers across Israel. Children aged 0 to 1 years (25.9%), non-Jews (40.7%), and males (67.2%) remain the main groups of the burn casualties. Most of the casualties sustained 1 to 9% total body surface area (TBSA) burns with various depths. Scalds were less fatal than fire/flame-related casualties (<1 vs. 11.5%). Fewer surgical procedures were conducted for burns under 9% TBSA compared with greater TBSA. The percentage of TBSA and burn depth were found to be the most significant predictor of mortality among all age groups (>200 times increased risk with full-thickness burns >30% TBSA burn) and correlated with prolonged length of stay (>7 days).

Severe isolated injuries have a high impact on resource use and mortality: a Dutch nationwide observational study.

The Berlin poly-trauma definition (BPD) has proven to be a valuable way of identifying patients with at least a 20% risk of mortality, by combining anatomical injury characteristics with the presence of physiological risk factors (PRFs). Severe isolated injuries (SII) are excluded from the BPD. This study describes the characteristics, resource use and outcomes of patients with SII according to their injured body region, and compares them with those included in the BPD. Data were extracted from the Dutch National Trauma Registry between 2015 and 2019. SII patients were defined as those with an injury with an Abbreviated Injury Scale (AIS) score ≥ 4 in one body region, with at most minor additional injuries (AIS ≤ 2). We performed an SII subgroup analysis per AIS region of injury. Multivariable linear and logistic regression models were used to calculate odds ratios (ORs) for SII subgroup patient outcomes, and resource needs. A total of 10.344 SII patients were included; 47.8% were ICU admitted, and the overall mortality was 19.5%. The adjusted risk of death was highest for external (2.5, CI 1.9-3.2) and for head SII (2.0, CI 1.7-2.2). Patients with SII to the abdomen (2.3, CI 1.9-2.8) and thorax (1.8, CI 1.6-2.0) had a significantly higher risk of ICU admission. The highest adjusted risk of disability was recorded for spine injuries (10.3, CI 8.3-12.8). The presence of ≥ 1 PRFs was associated with higher mortality rates compared to their poly-trauma counterparts, displaying rates of at least 15% for thoracic, 17% for spine, 22% for head and 49% for external SII. A severe isolated injury is a high-risk entity and should be recognized and treated as such. The addition of PRFs to the isolated anatomical injury criteria contributes to the identification of patients with SII at risk of worse outcomes.

The Impact of Delays in Interfaculty Transfer on Outcomes in Elderly Trauma Patients.

Delay to definitive treatment is a significant and persistent challenge to trauma systems across the United States, especially in rural communities with limited resources. We hypothesized that elderly trauma patients with delay in transfer would have increased morbidity and mortality. This study evaluates the relationship between inter-facility transfer time and outcomes in elderly trauma patients, and the validity of the 4-hour dwell time as a performance improvement benchmark. The National Trauma Registry and Emergency Medical Services Database were queried from January 2010 to January 2018. Inclusion criteria included age ≥65, blunt mechanism, and transfer from another facility. Correlation analysis was used to evaluate the association between clinical and demographic variables and transfer time. Multicollinearity was evaluated using the variance inflation factor. 1535 patients were identified. This cohort was further subdivided into 4 cohorts based on dwell time: 0-1.5 hours (n = 384), ≥1.5-1.9 hours (n = 379), 1.9-<2.5 hours (n = 383), and ≥2.5 hours (n = 388). Analysis revealed that shorter dwell time was associated with male gender (P = .0039), higher ISS (injury severity score) (P < .0001), lower RTS (revised trauma score) (P < .0001), higher pre-hospital arrest (P = .0066), lower initial GCS (Glasgow Coma Scale) (P = .0012), higher mortality, longer ICU, and ventilator length of stay (P < .0001). Longer dwell times were associated with discharge from the hospital to home or skilled nursing facility as well as lower mortality (P < .0001). Longer dwell time was inversely related to outcome. More severely injured patients were rapidly transferred. This represents a mature rural trauma system. In addition, dwell time should be scrutinized as a meaningful indicator within a performance improvement program.

Blunt Traumatic Aortic Injury Management, a French TraumaBase Analytic Cohort

Blunt traumatic aortic injury (BTAI) in severe trauma patients is rare but potentially lethal. The aim of this work was to perform a current epidemiological analysis of the clinical and surgical management of these patients in a European country. This was a multicentre, retrospective study using prospectively collected data from the French National Trauma Registry and the National Uniform Hospital Discharge Database from 10 trauma centres in France. The primary endpoint was the prevalence of BTAI. The secondary endpoints focused chronologically on injury characteristics, management, and patient outcomes. 209 patients were included with a mean age of 43 ± 19 years and 168 (80%) were men. The calculated prevalence of BTAI at hospital admission was 1% (162/15 094) (BTAI admissions/all trauma). The time to diagnosis increased with the severity of aortic injury and the clinical severity of the patients (grade 1: 94 [74, 143] minutes to grade 4: 154 [112, 202] minutes, p = .020). This delay seemed to be associated with the intensity of the required resuscitation. Sixty seven patients (32%) received no surgical treatment. Among those treated, 130 (92%) received endovascular treatment, 14 (10%) open surgery (two were combined), and 123 (85%) were treated within the first 24 hours. Overall mortality was 20% and the attributed cause of death was haemorrhagic shock (69%). Mortality was increased according to aortic injury severity, from 6% for grade 1 to 65% for grade 4 (p < .001). Twenty-six (18.3%) patients treated by endovascular aortic repair had complications. BTAI prevalence at hospital admission was low but occurred in severe high velocity trauma patients and in those with a high clinical suspicion of severe haemorrhage. The association of shock with high grade aortic injury and increasing time to diagnosis suggests a need to optimise early resuscitation to minimise the time to treatment. Endovascular treatment has been established as the reference treatment, accounting for more than 90% of interventional treatment options for BTAI.

The significance of direct transportation to a trauma center on survival for severe traumatic brain injury

IntroductionWhile timely specialized care can contribute to improved outcomes following traumatic brain injury (TBI), this condition remains the most common cause of post-injury death worldwide. The purpose of this study was to investigate the difference in mortality between regional trauma centers in Sweden (which provide neurosurgical services round the clock) and non-trauma centers, hypothesizing that 1-day and 30-day mortality will be lower at regional trauma centers.Patients and methodsThis retrospective cohort study used data extracted from the Swedish national trauma registry and included adults admitted with severe TBI between January 2014 and December 2018. The cohort was divided into two subgroups based on whether they were treated at a trauma center or non-trauma center. Severe TBI was defined as a head injury with an AIS score of 3 or higher. Poisson regression analyses with both univariate and multivariate models were performed to determine the difference in mortality risk [Incidence Rate Ratio (IRR)] between the subgroups. As a sensitivity analysis, the inverse probability of treatment weighting (IPTW) method was used to adjust for the effects of confounding.ResultsA total of 3039 patients were included. Patients admitted to a trauma center had a lower crude 30-day mortality rate (21.7 vs. 26.4% days, p = 0.006). After adjusting for confounding variables, patients treated at regional trauma center had a 28% [adj. IRR (95% CI): 0.72 (0.55–0.94), p = 0.015] decreased risk of 1-day mortality and an 18% [adj. IRR (95% CI): 0.82 (0.69–0.98)] reduction in 30-day mortality, compared to patients treated at a non-trauma center. After adjusting for covariates in the Poisson regression analysis performed after IPTW, admission and treatment at a trauma center were associated with a 27% and 17% reduction in 1-day and 30-day mortality, respectively.ConclusionFor patients suffering a severe TBI, treatment at a regional trauma center confers a statistically significant 1-day and 30-day survival advantage over treatment at a non-trauma center.

Modification of the TRISS: simple and practical mortality prediction after trauma in an all-inclusive registry.

Numerous studies have modified the Trauma Injury and Severity Score (TRISS) to improve its predictive accuracy for specific trauma populations. The aim of this study was to develop and validate a simple and practical prediction model that accurately predicts mortality for all acute trauma admissions. This retrospective study used Dutch National Trauma Registry data recorded between 2015 and 2018. New models were developed based on nonlinear transformations of TRISS variables (age, systolic blood pressure (SBP), Glasgow Coma Score (GCS) and Injury Severity Score (ISS)), the New Injury Severity Score (NISS), the sex-age interaction, the best motor response (BMR) and the American Society of Anesthesiologists (ASA) physical status classification. The models were validated in 2018 data and for specific patient subgroups. The models' performance was assessed based on discrimination (areas under the curve (AUCs)) and by calibration plots. Multiple imputation was applied to account for missing values. The mortality rates in the development and validation datasets were 2.3% (5709/245363) and 2.5% (1959/77343), respectively. A model with sex, ASA class, and nonlinear transformations of age, SBP, the ISS and the BMR showed significantly better discrimination than the TRISS (AUC 0.915 vs. 0.861). This model was well calibrated and demonstrated good discrimination in different subsets of patients, including isolated hip fractures patients (AUC: 0.796), elderly (AUC: 0.835), less severely injured (ISS16) (AUC: 878), severely injured (ISS ≥ 16) (AUC: 0.889), traumatic brain injury (AUC: 0.910). Moreover, discrimination for patients admitted to the intensive care (AUC: s0.846), and for both non-major and major trauma center patients was excellent, with AUCs of 0.940 and 0.895, respectively. This study presents a simple and practical mortality prediction model that performed well for important subgroups of patients as well as for the heterogeneous population of all acute trauma admissions in the Netherlands. Because this model includes widely available predictors, it can also be used for international evaluations of trauma care within institutions and trauma systems.

Professionalism of Admitting and Consulting Services and Trauma Patient Outcomes.

To determine whether trauma patients managed by an admitting or consulting service with a high proportion of physicians exhibiting patterns of unprofessional behaviors are at greater risk of complications or death. Trauma care requires high-functioning interdisciplinary teams where professionalism, particularly modeling respect and communicating effectively, is essential. This retrospective cohort study used data from 9 level I trauma centers that participated in a national trauma registry linked with data from a national database of unsolicited patient complaints. The cohort included trauma patients admitted January 1, 2012 through December 31, 2017. The exposure of interest was care by 1 or more high-risk services, defined as teams with a greater proportion of physicians with high numbers of patient complaints. The study outcome was death or complications within 30 days. Among the 71,046 patients in the cohort, 9553 (13.4%) experienced the primary outcome of complications or death, including 1875 of 16,107 patients (11.6%) with 0 high-risk services, 3788 of 28,085 patients (13.5%) with 1 high-risk service, and 3890 of 26,854 patients (14.5%) with 2+ highrisk services (P < 0.001). In logistic regression models adjusting for relevant patient, injury, and site characteristics, patients who received care from 1 or more high-risk services were at 24.1% (95% confidence interval 17.2% to 31.3%; P < 0.001) greater risk of experiencing the primary study outcome. Trauma patients who received care from at least 1 service with a high proportion of physicians modeling unprofessional behavior were at an increased risk of death or complications.