The Utstein template for uniform reporting of data following major trauma: a joint revision by SCANTEM, TARN, DGU-TR and RITG

Severe traumatic injury is associated with profound changes in DNA methylation

Whether DNA methylation changes follow human physical trauma is uncertain. We aimed to investigate if severe trauma was associated with DNA methylation changes. In a prospective, observational, clinical study, we included severely injured adults and adults undergoing elective surgery (controls). Blood was obtained from trauma patients (n = 60) immediately- and 30-45 days post-trauma, and from surgical patients (n = 57) pre-, post-, and 30-45 days post-surgery. Epigenome-wide DNA methylation profiling was performed and analyzed for significant differentially methylated CpGs and -regions (DMRs) within and between groups. Within the trauma group we identified 10,126 significant differentially methylated CpGs and 1169 DMRs. No significant differential methylation was found in the surgical group. In the trauma group, differentially methylated sites were enriched in genes and pathways involved in blood coagulation and inflammatory response. Severe trauma was associated with profound alterations in the DNA methylome of circulating leucocytes, and differential methylation was located in trauma-relevant genes.

Bicycle helmets are associated with fewer and less severe head injuries and fewer neurosurgical procedures

PURPOSE

This study explores the protective capabilities of bicycle helmets on serious head injury among bicyclists hospitalized in a Norwegian level 1 trauma centre.

METHOD

Information on helmet use, demographic variables, Abbreviated Injury Scale (AIS) and surgical procedure codes was retrieved from the Oslo University Hospital Trauma Registry for patients with bicycle-related injuries from 2005 through 2016. Outcomes were serious head injury defined as maximum AIS severity score ≥ 3 in the AIS region Head, any cranial neurosurgical procedure, and 30-day mortality.

RESULTS

A total of 1256 hospitalized bicyclists were included. The median age was 41 years (quartiles 26-53), 73% were male, 5.3% had severe pre-injury comorbidities, and 54% wore a helmet at the time of injury. Serious head injury occurred in 30%, 9% underwent a cranial neurosurgical procedure, and 30-day mortality was 2%. Compared to non-helmeted bicyclists, helmeted bicyclists were older (43 years, quartiles 27-54, vs. 38 years, quartiles 23-53, p = 0.05), less often crashed during night-time (21% vs. 38%, p < 0.001), less frequently had serious head injury (22% vs. 38%, OR 0.29, 95% CI 0.22-0.39), and less often underwent cranial neurosurgery (6% vs. 14%, OR 0.36, 95% CI 0.24-0.54). No statistically significant difference in 30-day mortality between the two groups was found (1.5% vs. 2.9%, OR 0.50, 95% CI 0.22-1.11).

CONCLUSION

Helmet use was associated with fewer and less severe head injuries and fewer neurosurgical procedures. This adds evidence to the protective capabilities of bicycle helmets.

Association Between Admission Systolic Blood Pressure and Outcomes in Patients with Isolated Traumatic Brain Injury: A Cross-National Multicenter Cohort Study

The optimal prehospital blood pressure in patients following traumatic brain injury (TBI) remains controversial. We aimed to assess the association between the systolic blood pressure (SBP) at emergency department triage and patient outcomes following isolated moderate-to-severe TBI. We conducted a cross-national multicenter retrospective cohort study using the Pan-Asia Trauma Outcomes Study database from January 1, 2016, to November 30, 2018. The enrollees were adult patients with isolated moderate-to-severe TBI defined by the International Classification of Diseases code, a Glasgow Coma Scale (GCS) <13 at triage, and a nonhead Abbreviated Injury Scale ≤3. The studied variables were SBPs at triage categorized into different ranges. The primary outcome was 30-day mortality, and the secondary outcome was poor functional status at hospital discharge defined by the modified Rankin Scale ≥4. Multivariable logistic regression was applied to adjust for confounders including country, sex, age, mechanism of injury, prehospital vascular access, respiratory rate, GCS, oxygen saturation, intubation, Injury Severity Score, head surgery, intensive care unit admission, and length of hospital stay. Subgroup analyses were performed on different severity of TBI. A total of 785 patients (median age, 42 years; male patients 77.5%; mean SBP at triage, 136.3 ± 33.1 mmHg) were included in the primary analysis. The lowest 30-day mortality rate existed in patients with SBP of 100-119 mmHg. Taking it as baseline, the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of SBP <100 mmHg, 120-139 mmHg, 140-159 mmHg, and ≥160 mmHg were 7.05 (2.51-19.78), 3.14 (1.14-8.65), 2.91 (1.04-8.17), and 3.28 (1.14-9.42). As for the secondary outcome, the aORs and 95% CIs were 1.36 (0.68-2.68) of <100 mmHg, 0.99 (0.57-1.70) of 120-139 mmHg, 1.23 (0.67-2.25) of 140-159 mmHg, and 1.52 (0.78-2.95) of ≥160 mmHg. Subgroup analyses revealed trends of the best outcomes in both moderate and severe TBI patients with SBP 100-119 mmHg, whereas statistical significance appeared only in patients with severe TBI. SBP of 110-119 mmHg at triage is associated with the lowest 30-day mortality in patients following isolated moderate-to-severe TBI and possibly related to a better functional outcome.

Incidence, severity and changes of abnormal vital signs in trauma patients: A national population-based analysis

BACKGROUND

Physiological criteria are used to assess the potential severity of injury in the early phase of a trauma patient's care trajectory. Few studies have described the extent of abnormality in vital signs and different combinations of these at a national level. Aim of the study was to identify physiologic abnormalities in trauma patients and describe different combinations of abnormalities and changes between the pre-hospital and emergency department (ED) settings.

METHOD

Norwegian Trauma Registry (NTR) data between 01.01.15 - 31.12.18, where evaluated on the prevalence and characteristics of abnormal physiologic variables. Primary outcome were rates of hypoventilation (respiratory rate [RR] < 10 breaths per min), hyperventilation (RR > 29 breaths per min), hypotension (systolic blood pressure [SBP] < 90 mmHg), and reduced level of consciousness (Glasgow Coma Scale [GCS] < 13).

RESULTS

A total of 24,482 patients were included. Documented values for RR, SBP and GCS were 77.6%, 78.5% and 81.9% in the pre-hospital phase, and the corresponding percentages in the ED were 95.5%, 99.2% and 98.6%, respectively. In the pre-hospital phase, 3,615 (14.8%) patients had at least one abnormal vital sign, whereas the corresponding numbers in the ED, were 3,616 (14.8%) patients. The most frequent combination was low GCS and hyperventilation. A worsened RTS-score from pre-hospital phase to the ED was observed for RR, SBP and GCS in 3.9%, 1.2% and 1.9% of incidents, respectively. Overall 30-day mortality was 3.1% (n=752). Of these, 60.8% had abnormal vital signs, with decreased GCS as the most prevalent (61.3%).

CONCLUSION

Most trauma patients had normal vital signs. According to the RTS-score, there were few deteriorations in RR, SBP and GCS between pre-hospital phase and the ED. The most frequent abnormality was low GCS, with a higher proportion in those who died within 30 days.

Using the GAP score as a complement to the NISS score in identifying severely injured patients- A registry-based cohort study of adult trauma patients in Sweden

BACKGROUND

New Injury Severity Score (NISS) and Glasgow Coma Scale, Age and Pressure (GAP) scoring systems have cutoffs to define severe injury and identify high-risk patients. This is important in trauma quality monitoring and improvement. The overall aim was to explore if GAP scoring system can be a complement or an alternative to the traditional NISS scoring system.

METHODS

Adults exposed to trauma between 2017 and 2021 were included in the study, using data from The Swedish Trauma Registry. The performance of NISS and GAP scores in predicting mortality, and ICU admissions were assessed using the area under the receiver operator characteristics (AUROC) in all patients and in subgroups (blunt, penetrating trauma and older (≥65 years) trauma patients). Patients were classified as severely injured by NISS >15 as Severely Injured NISS (SIN) or with a high-risk for mortality, by GAP 3-18 as High Risk GAP (HRG). Undertriage was calculated based on the cutoffs HRG and SIN.

RESULTS

Overall, 37,017 patients were included. The AUROC (95 % CI) for mortality using NISS was 0.84 (0.83-0.85) and for GAP 0.92 (0.91-0.93) (p-value <0.001), the AUROC (95 % CI) for ICU-admissions was 0.82 (0.82-0.83) using NISS and for GAP 0.70 (0.70-0.71) p-value <0.001, in the overall cohort. In older patients the AUROC (95 % CI) for mortality was 0.76 (0.75-0.78) using NISS and 0.79 (0.78-0.81) using GAP, p-value <0.001. Overall, 8,572 (23.2 %) and 2,908 (7.9 %) were classified as SIN and HRG, respectively, with mortality rates of 13.7 % and 34.3 %. In the HRG group low-energy falls dominated and in the SIN group most patients were exposed to MVCs. In the SIN and HRG groups the rate of Emergency Trauma Interventions according to Utstein guidelines (ETIU) and ICU admission was 14.0 vs 9.5 % and 47.0 vs 62.5 % respectively.

CONCLUSION

Our findings suggest that the GAP score and its cutoff 3-18 can be used to define severe trauma as complement to NISS >15 and can be a valuable tool in trauma quality monitoring and improvement. However, both scoring systems were less accurate in predicting mortality for the older trauma patients and should be explored further.

[Analysis of serious trauma injury patterns in Navarre (Spain) (2010-2019)]

BACKGROUND

The aim of this study is to describe major trauma cases in Navarre and analyze differences based on mortality groups, sex, and mode of injury.

METHODS

Cross-sectional study of major traumas (severity =3) registered in Navarre between 2010 and 2019. We analyzed the type of trauma, intentionality, the mode of injury, and the affected anatomical area. The odds ratio for major trauma associated with different variables was calculated.

RESULTS

The study included 2,609 patients; mean age was 54.7 years (0-101) and 70.9% were male. A predominance of accidental (84%) / blunt (94.7%) major traumas was recorded, primarily resulting from falls (46.5%) and car accidents (18.4%). Women experienced more falls and pedestrian accidents, while men had more motorcycle, bicycle, knife/firearm accidents, and contusions. Most major traumas affected the head and thorax. Head trauma was significantly more common in deceased individuals and women, while thoracic trauma was more frequent in patients who died on-site and in men. Head injuries were caused by falls from low heights and firearms, whereas thoracic injuries resulted from car accidents and falls from height. The risk of major trauma decreased with age; deceased patients were between two and three times more likely to present lesions in all anatomical areas.

CONCLUSIONS

Gender differences are observed in intentionality, type, and mode of injury. Head and thoracic injuries are potentially life-threatening and abdominal and extremity/pelvic ring injuries are associated with early deaths. This suggests that the extent and severity of these injuries complicate treatment and management.

Cardiac Arrest and Cardiopulmonary Resuscitation Outcome Reports: 2024 Update of the Utstein Out-of-Hospital Cardiac Arrest Registry Template

The Utstein Out-of-Hospital Cardiac Arrest Resuscitation Registry Template, introduced in 1991 and updated in 2004 and 2015, standardizes data collection to enable research, evaluation, and comparisons of systems of care. The impetus for the current update stemmed from significant advances in the field and insights from registry development and regional comparisons. This 2024 update involved representatives of the International Liaison Committee on Resuscitation and used a modified Delphi process. Every 2015 Utstein data element was reviewed for relevance, priority (core or supplemental), and improvement. New variables were proposed and refined. All changes were voted on for inclusion. The 2015 domains-system, dispatch, patient, process, and outcomes-were retained. Further clarity is provided for the definitions of out-of-hospital cardiac arrest attended resuscitation and attempted resuscitation. Changes reflect advancements in dispatch, early response systems, and resuscitation care, as well as the importance of prehospital outcomes. Time intervals such as emergency medical service response time now emphasize precise reporting of the times used. New flowcharts aid the reporting of system effectiveness for patients with an attempted resuscitation and system efficacy for the Utstein comparator group. Recognizing the varying capacities of emergency systems globally, the writing group provided a minimal dataset for settings with developing emergency medical systems. Supplementary variables are considered useful for research purposes. These revisions aim to elevate data collection and reporting transparency by registries and researchers and to advance international comparisons and collaborations. The overarching objective remains the improvement of outcomes for patients with out-of-hospital cardiac arrest.

Prediction of mortality among severely injured trauma patients A comparison between TRISS and machine learning-based predictive models

BACKGROUND

Given the huge impact of trauma on hospital systems around the world, several attempts have been made to develop predictive models for the outcomes of trauma victims. The most used, and in many studies most accurate predictive model, is the "Trauma Score and Injury Severity Score" (TRISS). Although it has proven to be fairly accurate and is widely used, it has faced criticism for its inability to classify more complex cases. In this study, we aimed to develop machine learning models that better than TRISS could predict mortality among severely injured trauma patients, something that has not been studied using data from a nationwide register before.

METHODS

Patient data was collected from the national trauma register in Sweden, SweTrau. The studied period was from the 1st of January 2015 to 31st of December 2019. After feature selection and multiple imputation of missing data three machine learning (ML) methods (Random Forest, eXtreme Gradient Boosting, and a Generalized Linear Model) were used to create predictive models. The ML models and TRISS were then tested on predictive ability for 30-day mortality.

RESULTS

The ML models were well-calibrated and outperformed TRISS in all the tested measurements. Among the ML models, the eXtreme Gradient Boosting model performed best with an AUC of 0.91 (0.88-0.93).

CONCLUSION

This study showed that all the developed ML-based prediction models were superior to TRISS for the prediction of trauma mortality.

Cardiac arrest and cardiopulmonary resuscitation outcome reports: 2024 update of the Utstein Out-of-Hospital Cardiac Arrest Registry template

The Utstein Out-of-Hospital Cardiac Arrest Resuscitation Registry Template, introduced in 1991 and updated in 2004 and 2015, standardizes data collection to enable research, evaluation, and comparisons of systems of care. The impetus for the current update stemmed from significant advances in the field and insights from registry development and regional comparisons. This 2024 update involved representatives of the International Liaison Committee on Resuscitation and used a modified Delphi process. Every 2015 Utstein data element was reviewed for relevance, priority (core or supplemental), and improvement. New variables were proposed and refined. All changes were voted on for inclusion. The 2015 domains-system, dispatch, patient, process, and outcomes-were retained. Further clarity is provided for the definitions of out-of-hospital cardiac arrest attended resuscitation and attempted resuscitation. Changes reflect advancements in dispatch, early response systems, and resuscitation care, as well as the importance of prehospital outcomes. Time intervals such as emergency medical service response time now emphasize precise reporting of the times used. New flowcharts aid the reporting of system effectiveness for patients with an attempted resuscitation and system efficacy for the Utstein comparator group. Recognizing the varying capacities of emergency systems globally, the writing group provided a minimal dataset for settings with developing emergency medical systems. Supplementary variables are considered useful for research purposes. These revisions aim to elevate data collection and reporting transparency by registries and researchers and to advance international comparisons and collaborations. The overarching objective remains the improvement of outcomes for patients with out-of-hospital cardiac arrest.

Penetrating trauma on the rise- nine-year trends of severe trauma in Sweden

PURPOSE

Sweden has an established trauma system involving national trauma criteria and the Swedish trauma registry (SweTrau), since over a decade. Meanwhile, the injury panorama has evolved, with an increase in gang-related violence in the Swedish community. In this study, we aimed to investigate long-term trends in mortality, management and trauma type in two major Swedish trauma centers over a nine-year period.

METHODS

All trauma patients with a New Injury Score (NISS) > 15 or a Trauma Alert (TA) call during 2013-2021 were identified in the participating centers' SweTrau registries. Data were analysed regarding mortality, proportion of emergency interventions, intensive care unit (ICU) admissions, mechanism of injury and type of trauma (penetrating or blunt). To assess trends, Chi-Squared test for trend and JoinPoint regression method were used.

RESULTS

A total of 10,587 patients were included in the study. Mortality remained unchanged over time in patients with NISS > 15 (10.0-10.9%, p = 0.963) but increased in patients with a TA and NISS < 15 (1.3-2.7%, p = 0.005). For NISS > 15, the proportion undergoing emergency interventions was stable (53.9%-48.8%, p = 0.297) while ICU admissions declined (62.1%-45.7%, p < 0.001). Penetrating trauma increased (12.4-19.6%, p < 0.001), including knife (10.0-15.7%, p < 0.001) and gunshot wounds (2.3-3.8%, p < 0.001), whereas accidents involving motorcycles (8.8%-7.0%, p = 0.004) and pedestrians (5.3%-2.2%, p < 0.001) decreased. Assaults (both penetrating and blunt) increased from 14.7 to 21.4% (p < 0.001).

CONCLUSIONS

In this trend analysis at two major Swedish trauma centers during 2013-2021, penetrating trauma increased with over 50% while traffic injuries decreased. The rise in mortality in patients with a TA and NISS < 15 is concerning and requires further evaluation, as do the reduction in ICU admissions.

Key performance indicators in pre-hospital response to disasters and mass casualty incidents: a scoping review

PURPOSE

The objective of this study was to offer a comprehensive synthesis of the existing Key performance indicators (KPIs) used in the evaluation of the pre-Hospital response to disasters and mass casualty incidents (MCIs).

METHODS

At the end of December 2022 a scoping review has been performed on PubMed, Scopus, Embase, and Medline to identify articles describing the use of KPIs to assess the performance of first responders during the prehospital phase of an MCI (real or simulated). Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, fourteen articles were included in the analysis.

RESULTS

Eleven articles applied indicators in exercises and/or simulations. Two articles proposed new KPIs, and one used KPIs for developing a model for benchmarking pre-Hospital response. All articles analyzed quantitative indicators of time, whereas two studied indicators of structure, of process, and of outcome as well.

CONCLUSION

The findings from this review emphasize the need for employing common terminology and using uniformed data collection tools, if obtaining standardized evaluation method is the goal to be achieved.

Risk of epilepsy after traumatic brain injury: a nationwide Norwegian matched cohort study

Background

Post-traumatic epilepsy (PTE) is a well-known complication of traumatic brain injury (TBI). Although several risk factors have been identified, prediction of PTE is difficult. Changing demographics and advances in TBI treatment may affect the risk of PTE. Our aim was to provide an up-to-date estimate of the incidence of PTE by linking multiple nationwide registers.

Methods

Patients with TBI admitted to hospital 2015-2018 were identified in the Norwegian Trauma Registry and matched to trauma-free controls on sex and birth year according to a matched cohort design. They were followed up for epilepsy in nationwide registers 2015-2020. Cumulative incidence of epilepsy in TBI patients and controls was estimated taking competing risks into account. Analyses stratified by the Abbreviated Injury Scale (AIS) severity score, Glasgow Coma Scale score and age were conducted for the TBI group. Occurrence of PTE in different injury types was visualized using UpSet plots.

Results

In total, 8,660 patients and 84,024 controls were included in the study. Of the patients, 3,029 (35%) had moderate to severe TBI. The cumulative incidence of epilepsy in the TBI group was 3.1% (95% Confidence Interval [CI] 2.8-3.5%) after 2 years and 4.0% (3.6-4.5%) after 5 years. Corresponding cumulative incidences in the control group were 0.2% (95% CI 0.2-0.3%) and 0.5% (0.5-0.6%). The highest incidence was observed in patients with severe TBI according to AIS (11.8% [95% CI 9.7-14.4%] after 2 years and 13.2% [10.8-16.0%] after 5 years) and in patients >40 years of age.

Conclusion

Patients with TBI have significantly higher risk of developing epilepsy compared to population controls. However, PTE incidence following moderate-severe TBI was notably lower than what has been reported in several previously published studies.

Exploring the impact of traumatic injury on mortality: An analysis of the certified cause of death within one year of serious injury in the Scottish population

BACKGROUND

Few studies effectively quantify the long-term incidence of death following injury. The absence of detailed mortality and underlying cause of death data results in limited understanding and a potential underestimation of the consequences at a population level. This study takes a nationwide approach to identify the one-year mortality following injury in Scotland, evaluating survivorship in relation to pre-existing comorbidities and incidental causes of death.

STUDY DESIGN

This retrospective cohort study assessed the one-year mortality of adult trauma patients with an Injury Severity Score ≥ 9 during 2020 using the Scottish Trauma Audit Group (STAG) registry linked to inpatient hospital data and death certificate records. Patients were divided into three groups: trauma death, trauma-contributed death, and non-trauma death. Kaplan-Meier curves were used for survival analysis to evaluate mortality, and cox proportional hazards regression analysed risk factors linked to death.

RESULTS

4056 patients were analysed with a median age 63 years (58-88) and male predominance (55.2 %). Falls accounted for 73.1 % of injuries followed by motor vehicle accidents (16.3 %) and blunt force (4.9 %). Extremity was the most commonly injured region overall followed by chest and head. However, head injury prevailed in those who died. The registry demonstrated a one-year mortality of 19.3 % with 55 % deaths occurring post-discharge. Of all deaths reported, 35.3 % were trauma deaths, and 47.7 % were trauma-contributed deaths. These groups accounted for over 70 % of mortality within 30 days of hospital admission and continued to represent the majority of deaths up to 6 months post-injury. Patients who died after 6 months were mainly the result of non-traumatic causes, frequently circulatory, neoplastic, and respiratory diseases (37.7 %, 12.3 %, 9.1 %, respectively). Independent risk factors for one-year mortality included a GCS ≤ 8, modified Charlson Comorbidity score >5, Injury Severity Score >25, serious head injury, age and sex.

CONCLUSION

With a one-year mortality of 19.3 %, and post-discharge deaths higher than previously appreciated, patients can face an extended period of survival uncertainty. As mortality due to index trauma lasted up to 6 months post-admission, short-term outcomes fail to represent trauma burden and so cogent survival predictions should be avoided in clinical and patient settings.

Comparison of on-scene Glasgow Coma Scale with GCS-motor for prediction of 30-day mortality and functional outcomes of patients with trauma in Asia

BACKGROUND AND IMPORTANCE

This study compared the on-scene Glasgow Coma Scale (GCS) and the GCS-motor (GCS-M) for predictive accuracy of mortality and severe disability using a large, multicenter population of trauma patients in Asian countries.

OBJECTIVE

To compare the ability of the prehospital GCS and GCS-M to predict 30-day mortality and severe disability in trauma patients.

DESIGN

We used the Pan-Asia Trauma Outcomes Study registry to enroll all trauma patients >18 years of age who presented to hospitals via emergency medical services from 1 January 2016 to November 30, 2018.

SETTINGS AND PARTICIPANTS

A total of 16,218 patients were included in the analysis of 30-day mortality and 11 653 patients in the analysis of functional outcomes.

OUTCOME MEASURES AND ANALYSIS

The primary outcome was 30-day mortality after injury, and the secondary outcome was severe disability at discharge defined as a Modified Rankin Scale (MRS) score ≥4. Areas under the receiver operating characteristic curve (AUROCs) were compared between GCS and GCS-M for these outcomes. Patients with and without traumatic brain injury (TBI) were analyzed separately. The predictive discrimination ability of logistic regression models for outcomes (30-day mortality and MRS) between GCS and GCS-M is illustrated using AUROCs.

MAIN RESULTS

The primary outcome for 30-day mortality was 1.04% and the AUROCs and 95% confidence intervals for prediction were GCS: 0.917 (0.887-0.946) vs. GCS-M:0.907 (0.875-0.938), P  = 0.155. The secondary outcome for poor functional outcome (MRS ≥ 4) was 12.4% and the AUROCs and 95% confidence intervals for prediction were GCS: 0.617 (0.597-0.637) vs. GCS-M: 0.613 (0.593-0.633), P  = 0.616. The subgroup analyses of patients with and without TBI demonstrated consistent discrimination ability between the GCS and GCS-M. The AUROC values of the GCS vs. GCS-M models for 30-day mortality and poor functional outcome were 0.92 (0.821-1.0) vs. 0.92 (0.824-1.0) ( P  = 0.64) and 0.75 (0.72-0.78) vs. 0.74 (0.717-0.758) ( P  = 0.21), respectively.

CONCLUSION

In the prehospital setting, on-scene GCS-M was comparable to GCS in predicting 30-day mortality and poor functional outcomes among patients with trauma, whether or not there was a TBI.

Functional outcome and associations with prehospital time and urban-remote disparities in trauma: A Norwegian national population-based study

BACKGROUND

There is a lack of knowledge regarding the functional outcomes of patients after trauma. Remote areas in Norway has been associated with an increased risk of trauma-related mortality. However, it is unknown how this might influence trauma-related morbidity. The aim of this study was to assess the functional outcomes of patients in the Norwegian trauma population and the relationship between prehospital time and urban-remote disparities on functional outcome.

METHODS

This registry-based study included 34,611 patients from the Norwegian Trauma Registry from 2015 - 2020. Differences in study population characteristics and functional outcomes as measured on the Glasgow Outcome Scale (GOS) at discharge were analysed. Three multinomial regression models were performed to assess the association between total prehospital time and urban-remote disparities and morbidity reported as GOS categories.

RESULTS

Ninety-four per cent of trauma patients had no disability or moderate disability at discharge. Among patients with severe disability or vegetative state, 81 % had NISS > 15. Patients with fall-related injuries had the highest proportion of severe disability or vegetative state. Among children and adults, every minute increase in total prehospital time was associated with higher odds of moderate disability. Urban areas were associated with higher odds of moderate disability in all age groups, whereas remote areas were associated with higher odds of severe disability or vegetative state in elderly patients. NISS was associated with a worse functional outcome.

CONCLUSIONS

The majority of trauma patients admitted to a trauma hospital in Norway were discharged with minimal change in functional outcome. Patients with severe injuries (NISS > 15) and patients with injuries from falls experienced the greatest decline in function. Every minute increase in total prehospital time was linked to an increased likelihood of moderate disability in children and adults. Furthermore, incurring injuries in urban areas was found to be associated with higher odds of moderate disability in all age groups, while remote areas were found to be associated with higher odds of severe disability or vegetative state in elderly patients.

Retrospective charts for reporting, analysing, and evaluating disaster emergency response: a systematic review

OBJECTIVE

Given the frequency of disasters worldwide, there is growing demand for efficient and effective emergency responses. One challenge is to design suitable retrospective charts to enable knowledge to be gained from disasters. This study provides comprehensive understanding of published retrospective chart review templates for designing and updating retrospective research.

METHODS

We conducted a systematic review and text analysis of peer-reviewed articles and grey literature on retrospective chart review templates for reporting, analysing, and evaluating emergency responses. The search was performed on PubMed, Cochrane, and Web of Science and pre-identified government and non-government organizational and professional association websites to find papers published before July 1, 2022. Items and categories were grouped and organised using visual text analysis. The study is registered in PROSPERO (374,928).

RESULTS

Four index groups, 12 guidelines, and 14 report formats (or data collection templates) from 21 peer-reviewed articles and 9 grey literature papers were eligible. Retrospective tools were generally designed based on group consensus. One guideline and one report format were designed for the entire health system, 23 studies focused on emergency systems, while the others focused on hospitals. Five papers focused specific incident types, including chemical, biological, radiological, nuclear, mass burning, and mass paediatric casualties. Ten papers stated the location where the tools were used. The text analysis included 123 categories and 1210 specific items; large heterogeneity was observed.

CONCLUSION

Existing retrospective chart review templates for emergency response are heterogeneous, varying in type, hierarchy, and theoretical basis. The design of comprehensive, standard, and practicable retrospective charts requires an emergency response paradigm, baseline for outcomes, robust information acquisition, and among-region cooperation.

Health-Related Quality of Life in severely injured patients in Finland: an observational cohort study of 325 patients with 1-year follow-up

BACKGROUND

Major trauma has a significant effect on Health-Related Quality of Life (HR-QoL). It is unclear, however, which factors most affect HR-QoL. This study aims to evaluate HR-QoL after severe injury in Finland and determine how different injury patterns and patient-related factors, such as level of education and socioeconomic group, are associated with HR-QoL. We also assess how well different injury scoring systems associate with HR-QoL.

METHODS

We retrospectively analyzed 325 severely injured trauma patients (aged ≥ 18 years, New Injury Severity Score, (NISS) ≥ 16, and alive at 1 year after injury) treated in the Intensive Care Unit (ICU) or High Dependence Unit (HDU) of Tampere University Hospital (TAUH) from 2013 through 2016. HR-QoL was assessed with the EQ-5D-3L questionnaire completed during ICU stay and 1 year after injury. HR-QOL index values and reported problems were further compared with Finnish population norms.

RESULTS

The severity of the injury (measured by ISS and NISS) had no significant association with the decrease in HR-QoL. Length of ICU stay had a weak negative correlation with post-injury HR-QoL and a weak positive correlation with the change in HR-QoL. The largest mean decrease in HR-QoL occurred in patients with spinal cord injury (Spine AIS ≥ 4) (-0.338 (SD 0.136)), spine injury in general (Spine AIS ≥ 2 (-0.201 (SD 0.279)), and a lower level of education (-0.157 (SD 0.231)). Patient's age, sex, or socioeconomic status did not seem to associate with smaller or greater changes in HR-QoL.

CONCLUSIONS

After serious injury, many patients have permanent disabilities which reduce HR-QoL. Injury scoring systems intended for assessing the risk for death did not seem to associate with HR-QoL and are not, therefore, a meaningful way to predict the future HR-QoL of a severely injured patient. Recovery from the injury seems to be weaker in poorer educated patients and patients with spinal cord injury, and these patients may benefit from targeted additional measures. Although there were significant differences in baseline HR-QoL levels between different socioeconomic groups, recovery from injury appears to be similar, which is likely due to equal access to high-quality trauma care.

Cumulative costs of severe traffic injuries in Finland: a 2-year retrospective observational study of 252 patients

Road traffic injuries cause considerable financial strain on health care systems worldwide. We retrospectively analyzed injury-related costs of 252 severely injured (New Injury Severity Score, NISS ≥ 16) patients treated at Tampere University Hospital (TAUH) between 2013 and 2017, with 2-year follow-up. The costs were divided into direct treatment, indirect costs, and other costs. We analyzed various injury- and patient-related factors with costs. The total costs during the 2-year study period were 20 million euros. Median cost was 41,202 euros (Q1 23,409 euros, Q3 97,726 euros), ranging from 2,753 euros to 549,787 euros. The majority of costs (69.1%) were direct treatment costs, followed by indirect costs (28.4%). Other costs were small (5.4%). Treatment costs increased with the severity of the injury or when the injury affected the lower extremities or the face. Indirect costs were higher in working age patients and in patients with a higher level of education. The relative proportions of direct and indirect costs were constant regardless of the amount of the total costs. The largest share of costs was caused by a relatively small proportion of high-cost patients during the 1st year after injury. Combined, this makes planning of resource use challenging and calls for further studies to further identify factors for highest costs.

Psychiatric comorbidity and trauma: impact on inpatient outcomes and implications for future management

PURPOSE

This study aimed to quantify the impact of pre-existing psychiatric illness on inpatient outcomes after major trauma and to assess acuity of psychiatric presentation as a predictor of outcomes.

METHODS

A retrospective single-center cohort study identified adult trauma patients with an Injury Severity Score (ISS) ≥ 16 between January 2018 and December 2019. Bivariate analysis assessed patient characteristics, injury characteristics, and injury outcomes between patients with and without psychiatric comorbidity. A sub-group analysis explored further effects of psychiatric history and need for inpatient psychiatric consultation on outcomes.

RESULTS

Of 640 patients meeting inclusion criteria, 99 patients (15.4%) had at least one psychiatric comorbidity. Patients with psychiatric comorbidity sustained distinct mechanisms of injury and higher in-hospital morbidity (44% vs. 26%, OR 1.97, 95% CI 1.17-3.3, p = 0.01), including pulmonary morbidity (31% vs. 21%, p < 0.01), neurologic morbidity (18% vs 7%, p < 0.01), and deep wound infection (8% vs. 2%, p < 0.01) than the control cohort. Psychiatric patients also had significantly greater median intensive care unit (ICU), length of stay (LOS) (1 day vs. 0 days, p = 0.04), median inpatient ward LOS (10 days vs. 7 days, p = 0.02), and median overall hospital LOS (16 days vs. 11 days, p < 0.01). In sub-group analysis, patients with a history of psychiatric illness alone had comparable outcomes to the control group.

CONCLUSIONS

Psychiatric comorbidity negatively impacts inpatient morbidity and inpatient LOS. This effect is most pronounced among acute psychiatric episodes with or without a history of mental illness.

Characteristics of traumatic major haemorrhage in a tertiary trauma center

BACKGROUND

Major traumatic haemorrhage is potentially preventable with rapid haemorrhage control and improved resuscitation techniques. Although advances in prehospital trauma management, haemorrhage is still associated with high mortality. The aim of this study was to use a recent pragmatic transfusion-based definition of major bleeding to characterize patients at risk of major bleeding and associated outcomes in this cohort after trauma.

METHODS

This was a retrospective cohort study including all trauma patients (n = 7020) admitted to a tertiary trauma center from January 2015 to June 2020. The major bleeding cohort (n = 145) was defined as transfusion of 4 units of any blood components (red blood cells, plasma, or platelets) within 2 h of injury. Univariate and multivariable logistic regression analyses were performed to identify risk factors for 24-hour and 30-day mortality post trauma admission.

RESULTS

In the major bleeding cohort (n = 145; 145/7020, 2.1% of the trauma population), there were 77% men (n = 112) and 23% women (n = 33), median age 39 years [IQR 26-53] and median Injury Severity Score (ISS) was 22 [IQR 13-34]. Blunt trauma dominated over penetrating trauma (58% vs. 42%) where high-energy fall was the most common blunt mechanism and knife injury was the most common penetrating mechanism. The major bleeding cohort was younger (OR 0.99; 95% CI 0.98 to 0.998, P = 0.012), less female gender (OR 0.66; 95% CI 0.45 to 0.98, P = 0.04), and had more penetrating trauma (OR 4.54; 95% CI 3.24 to 6.36, P = 0.001) than the rest of the trauma cohort. A prehospital (OR 2.39; 95% CI 1.34 to 4.28; P = 0.003) and emergency department (ED) (OR 6.91; 95% CI 4.49 to 10.66, P = 0.001) systolic blood pressure < 90 mmHg was associated with the major bleeding cohort as well as ED blood gas base excess < -3 (OR 7.72; 95% CI 5.37 to 11.11; P < 0.001) and INR > 1.2 (OR 3.09; 95% CI 2.16 to 4.43; P = 0.001). Emergency damage control laparotomy was performed more frequently in the major bleeding cohort (21.4% [n = 31] vs. 1.5% [n = 106]; OR 3.90; 95% CI 2.50 to 6.08; P < 0.001). There was no difference in transportation time from alarm to hospital arrival between the major bleeding cohort and the rest of the trauma cohort (47 [IQR 38;59] vs. 49 [IQR 40;62] minutes; P = 0.17). However, the major bleeding cohort had a shorter time from ED to first emergency procedure (71.5 [IQR 10.0;129.0] vs. 109.00 [IQR 54.0; 259.0] minutes, P < 0.001). In the major bleeding cohort, patients with penetrating trauma, compared to blunt trauma, had a shorter alarm to hospital arrival time (44.0 [IQR 35.5;54.0] vs. 50.0 [IQR 41.5;61.0], P = 0.013). The 24-hour mortality in the major bleeding cohort was 6.9% (10/145). All fatalities were due to blunt trauma; 40% (4/10) high energy fall, 20% (2/10) motor vehicle accident, 10% (1/10) motorcycle accident, 10% (1/10) traffic pedestrian, 10% (1/10) traffic other, and 10% (1/10) struck/hit by blunt object. In the logistic regression model, prehospital cardiac arrest (OR 83.4; 95% CI 3.37 to 2063; P = 0.007) and transportation time (OR 0.95, 95% CI 0.91 to 0.99, P = 0.02) were associated with 24-hour mortality.

RESULTS

Early identification of patients at high risk of major bleeding is challenging but essential for rapid definitive haemorrhage control. The major bleeding trauma cohort is a small part of the entire trauma population, and is characterized of being younger, male gender, higher ISS, and exposed to more penetrating trauma. Early identification of patients at high risk of major bleeding is challenging but essential for rapid definitive haemorrhage control.

The association between head injury and facial fracture treatment: an observational study of hospitalized bicyclists from a level 1 trauma centre

PURPOSE

To compare the types of facial fractures and their treatment in bicyclists admitted to a level 1 trauma centre with major and minor-moderate head injury.

METHODS

Retrospective analysis of data from bicycle-related injuries in the period 2005-2016 extracted from the Oslo University Hospital trauma registry.

RESULTS

A total of 967 bicyclists with head injuries classified according to the Abbreviated Injury Scale (AIS) were included. The group suffering minor-moderate head injury (AIS Head 1-2) included 518 bicyclists, while 449 bicyclists had major head injury (AIS Head 3-6). The mean patient age was 40.2 years (range 3-91 years) and 701 patients (72%) were men. A total of 521 facial fractures were registered in 262 patients (on average 2 facial fractures per bicyclist). Bicyclists with major head injury exhibited increased odds for facial fractures compared to bicyclists with minor-moderate head injury (sex and age adjusted odds ratio (OR) 2.75, 95% confidence interval (CI) 2.03-3.72, p < 0.001. More specifically, there was increased odds for all midface fractures, but no difference for mandible fractures. There was also increased odds for orbital reconstruction in cyclist with major head injury compared to bicyclist with minor-moderate head injury (adjusted OR 3.34, 95% CI 1.30-8.60, p = 0.012).

CONCLUSION

Bicyclists with more severe head injuries had increased odds for midface fractures and surgical correction of orbital fractures. During trauma triage, the head and the face should be considered as one unit.

Trauma patient transport to hospital using helicopter emergency medical services or road ambulance in Sweden: a comparison of survival and prehospital time intervals

BACKGROUND

The benefits of helicopter emergency medical services (HEMS) transport of adults following major trauma have been examined with mixed results, with some studies reporting a survival benefit compared to regular emergency medical services (EMS). The benefit of HEMS in the context of the Swedish trauma system remains unclear.

AIM

To investigate differences in survival and prehospital time intervals for trauma patients in Sweden transported by HEMS compared to road ambulance EMS.

METHODS

A total of 74,032 trauma patients treated during 2012-2022 were identified through the Swedish Trauma Registry (SweTrau). The primary outcome was 30-day mortality and Glasgow Outcome Score at discharge from hospital (to home or rehab); secondary outcomes were the proportion of severely injured patients who triggered a trauma team activation (TTA) on arrival to hospital and the proportion of severely injured patients with GCS ≤ 8 who were subject to prehospital endotracheal intubation.

RESULTS

4529 out of 74,032 patients were transported by HEMS during the study period. HEMS patients had significantly lower mortality compared to patients transported by EMS at 1.9% vs 4.3% (ISS 9-15), 5.4% vs 9.4% (ISS 16-24) and 31% vs 42% (ISS ≥ 25) (p < 0.001). Transport by HEMS was also associated with worse neurological outcome at discharge from hospital, as well as a higher rate of in-hospital TTA for severely injured patients and higher rate of prehospital intubation for severely injured patients with GCS ≤ 8. Prehospital time intervals were significantly longer for HEMS patients compared to EMS across all injury severity groups.

CONCLUSION

Trauma patients transported to hospital by HEMS had significantly lower mortality compared to those transported by EMS, despite longer prehospital time intervals and greater injury severity. However, this survival benefit may have been at the expense of a higher degree of adverse neurological outcome. Increasing the availability of HEMS to include all regions should be considered as it may be the preferrable option for transport of severely injured trauma patients in Sweden.

Feasibility study of the Utstein Style For Drowning to aid data collection on the resuscitation of drowning victims

Aim

The revised Utstein Style For Drowning (USFD) was published in 2015. Core data were considered feasible to be reported in most health systems worldwide. We aimed to determine the suitability of the USFD as a template for reporting data from drowning research.

Method

Clinical records of 437 consecutive drowning presentations to the Sunshine Coast Hospital and Health Service Emergency Departments (ED) between 1/1/2015 and 31/12/2021 were examined for data availability to complete the USFD. The proportions of patients with each variable documented is reported. Time taken to record core and supplementary variables was recorded for 120 consecutive patients with severity of drowning Grade 1 or higher.

Results

There were 437 patients, including 227 (51.9%) aged less than 16 years. There were 253 (57.9%) males and 184 (42.1%) females. Sixty-one patients (13.9%) received cardiopulmonary resuscitation (CPR). There were nine (2.1%) deaths after presentation to the ED. Median time for data entry was 17 minutes for core variables and 6 min for supplementary. This increased to 29 + 6 minutes for patients in cardiac arrest. Sixteen (32.7%) of 49 core variables and four (13.3%) of 30 supplementary variables were documented 100% of the time. One (2.0%) core and seven (23.3%) supplementary variables were never documented. Duration of submersion was documented in 100 (22.9%) patients.

Conclusion

USFD is time consuming to complete. Data availability to enable completion of the USFD varies widely, even in a resource rich health system. These results should be considered in future revisions of the USFD.

Prevalence of use and impairment from drugs and alcohol among trauma patients: A national prospective observational study

BACKGROUND

Being under the influence of psychoactive substances increases the risk of involvement in and dying from a traumatic event. The study is a prospective population-based observational study that aims to determine the prevalence of use and likely impairment from psychoactive substances among patients with suspected severe traumatic injury.

METHOD

This study was conducted at 35 of 38 Norwegian trauma hospitals from 1 March 2019 to 29 February 2020. All trauma admissions for patients aged ≥ 16 years admitted via trauma team activation during the study period were eligible for inclusion. Blood samples collected on admission were analysed for alcohol, benzodiazepines, benzodiazepine-like hypnotics (Z-drugs), opioids, stimulants, and cannabis (tetrahydrocannabinol).

RESULTS

Of the 4878 trauma admissions included, psychoactive substances were detected in 1714 (35 %) and in 771 (45 %) of these, a combination of two or more psychoactive substances was detected. Regarding the level of impairment, 1373 (28 %) admissions revealed a concentration of one or more psychoactive substances indicating likely impairment, and 1052 (22 %) highly impairment. Alcohol was found in 1009 (21 %) admissions, benzodiazepines and Z-drugs in 613 (13 %), opioids in 467 (10 %), cannabis in 352 (7 %), and stimulants in 371 (8 %). Men aged 27-43 years and patients with violence-related trauma had the highest prevalence of psychoactive substance use with respectively 424 (50 %) and 275 (80 %) testing positive for one or more compounds.

CONCLUSION

The results revealed psychoactive substances in 35 % of trauma admissions, 80 % of which were likely impaired at the time of traumatic injury. A combination of several psychoactive substances was common, and younger males and patients with violence-related injuries were most often impaired. Injury prevention strategies should focus on high-risk groups and involve the prescription of controlled substances. We should consider toxicological screening in trauma admissions and incorporation of toxicological data into trauma registries.

Patient and process factors associated with opportunities for improvement in trauma care: a registry-based study

BACKGROUND

Trauma is one of the leading causes of morbidity and mortality worldwide. Morbidity and mortality review of selected patient cases is used to improve the quality of trauma care by identifying opportunities for improvement (OFI). The aim of this study was to assess how patient and process factors are associated with OFI in trauma care.

METHODS

We conducted a registry-based study using all patients between 2017 and 2021 from the Karolinska University Hospital who had been reviewed regarding the presence of OFI as defined by a morbidity and mortality conference. We used bi- and multivariable logistic regression to assess the associations between the following patient and process factors and OFI: age, sex, respiratory rate, systolic blood pressure, Glasgow Coma Scale (GCS), Injury Severity Score (ISS), survival at 30 days, highest hospital care level, arrival on working hours, arrival on weekends, intubation status and time to first computed tomography (CT).

RESULTS

OFI was identified in 300 (5.8%) out of 5182 patients. Age, missing Glasgow Coma Scale, time to first CT, highest hospital care level and ISS were statistically significantly associated with OFI.

CONCLUSION

Several patient and process factors were found to be associated with OFI, indicating that patients with moderate to severe trauma and those with delays to first CT are at the highest odds of OFI.

Identifying Trauma Patients in Need for Emergency Surgery in the Prehospital Setting: The Prehospital Prediction of In-Hospital Emergency Treatment (PROPHET) Study

Prehospital field triage often fails to accurately identify the need for emergent surgical or non-surgical procedures, resulting in inefficient resource utilization and increased costs. This study aimed to analyze prehospital factors associated with the need for emergent procedures (such as surgery or interventional angiography) within 6 h of hospital admission. Additionally, our goal was to develop a prehospital triage tool capable of estimating the likelihood of requiring an emergent procedure following hospital admission. We conducted a retrospective observational study, analyzing both prehospital and in-hospital data obtained from the Lombardy Trauma Registry. We conducted a multivariable logistic regression analysis to identify independent predictors of emergency procedures within the first 6 h from admission. Subsequently, we developed and internally validated a triage score composed of factors associated with the probability of requiring an emergency procedure. The study included a total of 3985 patients, among whom 295 (7.4%) required an emergent procedure within 6 h. Age, penetrating injury, downfall, cardiac arrest, poor neurological status, endotracheal intubation, systolic pressure, diastolic pressure, shock index, respiratory rate and tachycardia were identified as predictors of requiring an emergency procedure. A triage score generated from these predictors showed a good predictive power (AUC of the ROC curve: 0.81) to identify patients requiring an emergent surgical or non-surgical procedure within 6 h from hospital admission. The proposed triage score might contribute to predicting the need for immediate resource availability in trauma patients.

On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry

BACKGROUND

Providing optimal care for trauma, the leading cause of death for young adults, remains a challenge e.g., due to field triage limitations in assessing a patient's condition and deciding on transport destination. Data-driven On Scene Injury Severity Prediction (OSISP) models for motor vehicle crashes have shown potential for providing real-time decision support. The objective of this study is therefore to evaluate if an Artificial Intelligence (AI) based clinical decision support system can identify severely injured trauma patients in the prehospital setting.

METHODS

The Swedish Trauma Registry was used to train and validate five models - Logistic Regression, Random Forest, XGBoost, Support Vector Machine and Artificial Neural Network - in a stratified 10-fold cross validation setting and hold-out analysis. The models performed binary classification of the New Injury Severity Score and were evaluated using accuracy metrics, area under the receiver operating characteristic curve (AUC) and Precision-Recall curve (AUCPR), and under- and overtriage rates.

RESULTS

There were 75,602 registrations between 2013-2020 and 47,357 (62.6%) remained after eligibility criteria were applied. Models were based on 21 predictors, including injury location. From the clinical outcome, about 40% of patients were undertriaged and 46% were overtriaged. Models demonstrated potential for improved triaging and yielded AUC between 0.80-0.89 and AUCPR between 0.43-0.62.

CONCLUSIONS

AI based OSISP models have potential to provide support during assessment of injury severity. The findings may be used for developing tools to complement field triage protocols, with potential to improve prehospital trauma care and thereby reduce morbidity and mortality for a large patient population.

Effect of urban vs. remote settings on prehospital time and mortality in trauma patients in Norway: a national population-based study

BACKGROUND

Norway has a diverse population pattern and often long transport distances from injury sites to hospitals. Also, previous studies have found an increased risk of trauma-related mortality in remote areas in Norway. Studies on urban vs. remote differences on trauma outcomes from other countries are sparse and they report conflicting results.The aim of the present study was to investigate differences in prehospital time intervals in urban and remote areas in Norway and assess how prehospital time and urban vs. remote settings were associated with mortality in the Norwegian trauma population.

METHODS

We performed a population-based study of trauma cases included in the Norwegian Trauma Registry from 2015 to 2020. 28,988 patients met the inclusion criteria. Differences in study population characteristics and prehospital time intervals (response time, on-scene time and transport time) were analyzed. The Norwegian Centrality Index score was used for urban vs. remote classification. Descriptive statistics and relevant non-parametric tests with effect size measurements were used. A binary logistic regression model, adjusted for confounding factors, was performed.

RESULTS

The prehospital time intervals increased significantly from urban to remote areas.Adjusted for control variables we found a significant relationship between prolonged on-scene time and higher odds of mortality. Also, suburban areas compared with remote areas were associated with higher odds of mortality.

CONCLUSION

In this nationwide study comparing prehospital time intervals in urban and remote areas, we found that prehospital time intervals in remote areas exceeded those in urban areas. Prolonged on-scene time was found to be associated with higher odds of mortality, but remoteness itself was not.

Excellent agreement of Norwegian trauma registry data compared to corresponding data in electronic patient records

BACKGROUND

The Norwegian Trauma Registry (NTR) is designed to monitor and improve the quality and outcome of trauma care delivered by Norwegian trauma hospitals. Patient care is evaluated through specific quality indicators, which are constructed of variables reported to the registry by certified registrars. Having high-quality data recorded in the registry is essential for the validity, trust and use of data. This study aims to perform a data quality check of a subset of core data elements in the registry by assessing agreement between data in the NTR and corresponding data in electronic patient records (EPRs).

METHODS

We validated 49 of the 118 variables registered in the NTR by comparing those with the corresponding ones in electronic patient records for 180 patients with a trauma diagnosis admitted in 2019 at eight public hospitals. Agreement was quantified by calculating observed agreement, Cohen's Kappa and Gwet's first agreement coefficient (AC1) with 95% confidence intervals (CIs) for 27 nominal variables, quadratic weighted Cohen's Kappa and Gwet's second agreement coefficient (AC2) for five ordinal variables. For nine continuous, one date and seven time variables, we calculated intraclass correlation coefficient (ICC).

RESULTS

Almost perfect agreement (AC1 /AC2/ ICC > 0.80) was observed for all examined variables. Nominal and ordinal variables showed Gwet's agreement coefficients ranging from 0.85 (95% CI: 0.79-0.91) to 1.00 (95% CI: 1.00-1.00). For continuous and time variables there were detected high values of intraclass correlation coefficients (ICC) between 0.88 (95% CI: 0.83-0.91) and 1.00 (CI 95%: 1.00-1.00). While missing values in both the NTR and EPRs were in general negligeable, we found a substantial amount of missing registrations for a continuous "Base excess" in the NTR. For some of the time variables missing values both in the NTR and EPRs were high.

CONCLUSION

All tested variables in the Norwegian Trauma Registry displayed excellent agreement with the corresponding variables in electronic patient records. Variables in the registry that showed missing data need further examination.

Concepts, utilization, and perspectives on the Dutch Nationwide Trauma registry: a position paper

Over the last decades, the Dutch trauma care have seen major improvements. To assess the performance of the Dutch trauma system, in 2007, the Dutch Nationwide Trauma Registry (DNTR) was established, which developed into rich source of information for quality assessment, quality improvement of the trauma system, and for research purposes. The DNTR is one of the most comprehensive trauma registries in the world as it includes 100% of all trauma patients admitted to the hospital through the emergency department. This inclusive trauma registry has shown its benefit over less inclusive systems; however, it comes with a high workload for high-quality data collection and thus more expenses. The comprehensive prospectively collected data in the DNTR allows multiple types of studies to be performed. Recent changes in legislation allow the DNTR to include the citizen service numbers, which enables new possibilities and eases patient follow-up. However, in order to maximally exploit the possibilities of the DNTR, further development is required, for example, regarding data quality improvement and routine incorporation of health-related quality of life questionnaires. This would improve the quality assessment and scientific output from the DNTR. Finally, the DNTR and all other (European) trauma registries should strive to ensure that the trauma registries are eligible for comparisons between countries and healthcare systems, with the goal to improve trauma patient care worldwide.

Validation of the Swedish Trauma Registry (SweTrau)

PURPOSE

Validation of registries is important to ensure accuracy of data and registry-based research. This is often done by comparisons of the original registry data with other sources, e.g. another registry or a re-registration of data. Founded in 2011, the Swedish Trauma Registry (SweTrau) consists of variables based on international consensus (the Utstein Template of Trauma). This project aimed to perform the first validation of SweTrau.

METHODS

On-site re-registration was performed on randomly selected trauma patients and compared to the registration in SweTrau. Accuracy (exact agreement), correctness (exact agreement plus data within acceptable range), comparability (similarity with other registries), data completeness (1-missing data) and case completeness (1-missing cases) were deemed as either good ([Formula: see text] 85%), adequate (70-84%) or poor (< 70%). Correlation was determined as either excellent ([Formula: see text] 0.8), strong (0.6-0.79), moderate (0.4-0.59) or weak (< 0.4).

RESULTS

The data in SweTrau had good accuracy (85.8%), correctness (89.7%) and data completeness (88.5%), as well as strong or excellent correlation (87.5%). Case completeness was 44.3%, however, for NISS > 15 case completeness was 100%. Median time to registration was 4.5 months, with 84.2% registered one year after the trauma. The comparability showed an accordance with the Utstein Template of Trauma of almost 90%.

CONCLUSIONS

The validity of SweTrau is good, with high accuracy, correctness, data completeness and correlation. The data are comparable to other trauma registries using the Utstein Template of Trauma; however, timeliness and case completeness are areas of improvement.

Management and outcomes of firearm-related vascular injuries

BACKGROUND

Violence due to firearms is a major global public health issue and vascular injuries from firearms are particularly lethal. The aim of this study was to analyse population-based epidemiology of firearm-related vascular injuries.

METHODS

This was a retrospective nationwide epidemiological study including all patients with firearm injuries from the national Swedish Trauma Registry (SweTrau) from January 1, 2011 to December 31, 2019. There were 71,879 trauma patients registered during the study period, of which 1010 patients were identified with firearm injuries (1.4%), and 162 (16.0%) patients with at least one firearm-related vascular injury.

RESULTS

There were 162 patients admitted with 238 firearm-related vascular injuries, 96.9% men (n = 157), median age 26.0 years [IQR 22-33]. There was an increase in vascular firearm injuries over time (P < 0.005). The most common anatomical vascular injury location was lower extremity (41.7%) followed by abdomen (18.9%) and chest (18.9%). The dominating vascular injuries were common femoral artery (17.6%, 42/238), superficial femoral artery (7.1%, 17/238), and iliac artery (7.1%, 17/238). Systolic blood pressure (SBP) < 90 mmHg or no palpable radial pulse in the emergency department was seen in 37.7% (58/154) of patients. The most common vascular injuries in this cohort with hemodynamic instability were thoracic aorta 16.5% (16/97), femoral artery 10.3% (10/97), inferior vena cava 7.2% (7/97), lung vessels 6.2% (6/97) and iliac vessels 5.2% (5/97). There were 156 registered vascular surgery procedures including vascular suturing (22%, 34/156) and bypass/interposition graft (21%, 32/156). Endovascular stent was placed in five patients (3.2%). The 30-day and 90-day mortality was 29.9% (50/162) and 33.3% (54/162), respectively. Most deaths (79.6%; 43/54) were within 24-h of injury. In the multivariate regression analysis, vascular injury to chest (P < 0.001) or abdomen (P = 0.002) and injury specifically to thoracic aorta (P < 0.001) or femoral artery (P = 0.022) were associated with 24-h mortality.

CONCLUSIONS

Firearm-related vascular injuries caused significant morbidity and mortality. The lower extremity was the most common injury location but vascular injuries to chest and abdomen were most lethal. Improved early hemorrhage control strategies seem critical for better outcome.

Care pathways and factors associated with interhospital transfer to neurotrauma centers for patients with isolated moderate-to-severe traumatic brain injury: a population-based study from the Norwegian trauma registry

BACKGROUND

Systems ensuring continuity of care through the treatment chain improve outcomes for traumatic brain injury (TBI) patients. Non-neurosurgical acute care trauma hospitals are central in providing care continuity in current trauma systems, however, their role in TBI management is understudied. This study aimed to investigate characteristics and care pathways and identify factors associated with interhospital transfer to neurotrauma centers for patients with isolated moderate-to-severe TBI primarily admitted to acute care trauma hospitals.

METHODS

A population-based cohort study from the national Norwegian Trauma Registry (2015-2020) of adult patients (≥ 16 years) with isolated moderate-to-severe TBI (Abbreviated Injury Scale [AIS] Head ≥ 3, AIS Body < 3 and maximum 1 AIS Body = 2). Patient characteristics and care pathways were compared across transfer status strata. A generalized additive model was developed using purposeful selection to identify factors associated with transfer and how they affected transfer probability.

RESULTS

The study included 1735 patients admitted to acute care trauma hospitals, of whom 692 (40%) were transferred to neurotrauma centers. Transferred patients were younger (median 60 vs. 72 years, P < 0.001), more severely injured (median New Injury Severity Score [NISS]: 29 vs. 17, P < 0.001), and had lower admission Glasgow Coma Scale (GCS) scores (≤ 13: 55% vs. 27, P < 0.001). Increased transfer probability was significantly associated with reduced GCS scores, comorbidity in patients < 77 years, and increasing NISSs until the effect was inverted at higher scores. Decreased transfer probability was significantly associated with increasing age and comorbidity, and distance between the acute care trauma hospital and the nearest neurotrauma center, except for extreme NISSs.

CONCLUSIONS

Acute care trauma hospitals managed a substantial burden of isolated moderate-to-severe TBI patients primarily and definitively, highlighting the importance of high-quality neurotrauma care in non-neurosurgical hospitals. The transfer probability declined with increasing age and comorbidity, suggesting that older patients were carefully selected for transfer to specialized care.

National Neurotrauma Registry Data in Low- and Middle-Income Countries - Current Status and Future Requirements Comment on "Neurotrauma Surveillance in National Registries of Low- and Middle-Income Countries: A Scoping Review and Comparative Analysis of Data Dictionaries"

Since 1990 National Trauma Registries, - taking the form of "not for profit" small and medium enterprises - have been integral to improvementsin major injury case fatality in high-income settings. This is laudable but unsatisfactory as globally most years of life lost to injury occur in low- and middle-income countries (LMICs). International Journal of Health Policy and Management, recently published a scoping review of neurotrauma registries in LMICs by Barthelemy et al; from this the commentary reflects on the state of the art and how these LMIC registries could be taken to "the next level" as meaningful tools for improving major injury patient care.

Discriminant ability of the shock index, modified shock index, and reverse shock index multiplied by the Glasgow coma scale on mortality in adult trauma patients: a PATOS retrospective cohort study

BACKGROUND

The shock index (SI) predicts short-term mortality in trauma patients. Other shock indices have been developed to improve discriminant accuracy. The authors examined the discriminant ability of the SI, modified SI (MSI), and reverse SI multiplied by the Glasgow Coma Scale (rSIG) on short-term mortality and functional outcomes.

METHODS

The authors evaluated a cohort of adult trauma patients transported to emergency departments. The first vital signs were used to calculate the SI, MSI, and rSIG. The areas under the receiver operating characteristic curves and test results were used to compare the discriminant performance of the indices on short-term mortality and poor functional outcomes. A subgroup analysis of geriatric patients with traumatic brain injury, penetrating injury, and nonpenetrating injury was performed.

RESULTS

A total of 105 641 patients (49±20 years, 62% male) met the inclusion criteria. The rSIG had the highest areas under the receiver operating characteristic curve for short-term mortality (0.800, CI: 0.791-0.809) and poor functional outcome (0.596, CI: 0.590-0.602). The cutoff for rSIG was 18 for short-term mortality and poor functional outcomes with sensitivities of 0.668 and 0.371 and specificities of 0.805 and 0.813, respectively. The positive predictive values were 9.57% and 22.31%, and the negative predictive values were 98.74% and 89.97%. rSIG also had better discriminant ability in geriatrics, traumatic brain injury, and nonpenetrating injury.

CONCLUSION

The rSIG with a cutoff of 18 was accurate for short-term mortality in Asian adult trauma patients. Moreover, rSIG discriminates poor functional outcomes better than the commonly used SI and MSI.

Association between prehospital end-tidal carbon dioxide levels and mortality in patients with suspected severe traumatic brain injury

PURPOSE

Severe traumatic brain injury is a leading cause of mortality and morbidity, and these patients are frequently intubated in the prehospital setting. Cerebral perfusion and intracranial pressure are influenced by the arterial partial pressure of CO₂ and derangements might induce further brain damage. We investigated which lower and upper limits of prehospital end-tidal CO₂ levels are associated with increased mortality in patients with severe traumatic brain injury.

METHODS

The BRAIN-PROTECT study is an observational multicenter study. Patients with severe traumatic brain injury, treated by Dutch Helicopter Emergency Medical Services between February 2012 and December 2017, were included. Follow-up continued for 1 year after inclusion. End-tidal CO₂ levels were measured during prehospital care and their association with 30-day mortality was analyzed with multivariable logistic regression.

RESULTS

A total of 1776 patients were eligible for analysis. An L-shaped association between end-tidal CO₂ levels and 30-day mortality was observed (p = 0.01), with a sharp increase in mortality with values below 35 mmHg. End-tidal CO₂ values between 35 and 45 mmHg were associated with better survival rates compared to < 35 mmHg. No association between hypercapnia and mortality was observed. The odds ratio for the association between hypocapnia (< 35 mmHg) and mortality was 1.89 (95% CI 1.53-2.34, p < 0.001) and for hypercapnia (≥ 45 mmHg) 0.83 (0.62-1.11, p = 0.212).

CONCLUSION

A safe zone of 35-45 mmHg for end-tidal CO₂ guidance seems reasonable during prehospital care. Particularly, end-tidal partial pressures of less than 35 mmHg were associated with a significantly increased mortality.

Funnel plots a graphical instrument for the evaluation of population performance and quality of trauma care: a blueprint of implementation

BACKGROUND

Using patient outcomes to monitor medical centre performance has become an essential part of modern health care. However, classic league tables generally inflict stigmatization on centres rated as "poor performers", which has a negative effect on public trust and professional morale. In the present study, we aim to illustrate that funnel plots, including trends over time, can be used as a method to control the quality of data and to monitor and assure the quality of trauma care. Moreover, we aimed to present a set of regulations on how to interpret and act on underperformance or overperformance trends presented in funnel plots.

METHODS

A retrospective observational cohort study was performed using the Dutch National Trauma Registry (DNTR). Two separate datasets were created to assess the effects of healthy and multiple imputations to cope with missing values. Funnel plots displaying the performance of all trauma-receiving hospitals in 2020 were generated, and in-hospital mortality was used as the main indicator of centre performance. Indirect standardization was used to correct for differences in the types of cases. Comet plots were generated displaying the performance trends of two level-I trauma centres since 2017 and 2018.

RESULTS

Funnel plots based on data using healthy imputation for missing values can highlight centres lacking good data quality. A comet plot illustrates the performance trend over multiple years, which is more indicative of a centre's performance compared to a single measurement. Trends analysis offers the opportunity to closely monitor an individual centres' performance and direct evaluation of initiated improvement strategies.

CONCLUSION

This study describes the use of funnel and comet plots as a method to monitor and assure high-quality data and to evaluate trauma centre performance over multiple years. Moreover, this is the first study to provide a regulatory blueprint on how to interpret and act on the under- or overperformance of trauma centres. Further evaluations are needed to assess its functionality.

LEVEL OF EVIDENCE

Retrospective study, level III.

Comparison of trauma care structures, processes and outcomes between the English National Health Service and Quebec, Canada

BACKGROUND

Comparisons across trauma systems are key to identifying opportunities to improve trauma care. We aimed to compare trauma service structures, processes and outcomes between the English National Health Service (NHS) and the province of Quebec, Canada.

METHODS

We conducted a multicentre cohort study including admissions of patients aged older than 15 years with major trauma to major trauma centres (MTCs) from 2014/15 to 2016/17. We compared structures descriptively, and time to MTC and time in the emergency department (ED) using Wilcoxon tests. We compared mortality, and hospital and intensive care unit (ICU) length of stay (LOS) using multilevel logistic regression with propensity score adjustment, stratified by body region of the worst injury.

RESULTS

The sample comprised 36 337 patients from the NHS and 6484 patients from Quebec. Structural differences in the NHS included advanced prehospital medical teams (v. "scoop and run" in Quebec), helicopter transport (v. fixed-wing aircraft) and trauma team leaders. The median time to an MTC was shorter in Quebec than in the NHS for direct transports (1 h v. 1.5 h, p < 0.001) but longer for transfers (2.5 h v. 6 h, p < 0.001). Time in the ED was longer in Quebec than in the NHS (6.5 h v. 4.0 h, p < 0.001). The adjusted odds of death were higher in Quebec for head injury (odds ratio [OR] 1.28, 95% confidence interval [CI] 1.09-1.51) but lower for thoracoabdominal injuries (OR 0.69, 95% CI 0.52-0.90). The adjusted median hospital LOS was longer for spine, torso and extremity injuries in the NHS than in Quebec, and the median ICU LOS was longer for spine injuries.

CONCLUSION

We observed significant differences in the structure of trauma care, delays in access and risk-adjusted outcomes between Quebec and the NHS. Future research should assess associations between structures, processes and outcomes to identify opportunities for quality improvement.

Thoracic injuries in trauma patients: epidemiology and its influence on mortality

BACKGROUND

Thoracic injuries are common among trauma patients. Studies on trauma patients with thoracic injuries have reported considerable differences in morbidity and mortality, and there is limited research on comparison between trauma patients with and without thoracic injuries, particularly in the Scandinavian population. Thoracic injuries in trauma patients should be identified early and need special attention since the differences in injury patterns among patient population are important as they entail different treatment regimens and influence patient outcomes. The aim of the study was to describe the epidemiology of trauma patients with and without thoracic injuries and its influence on 30-day mortality.

METHODS

Patients were identified through the Karolinska Trauma Register. The Abbreviated Injury Scale (AIS) system was used to find patients with thoracic injuries. Logistic regression analysis was performed to evaluate factors [age, gender, ASA class, GCS (Glasgow Coma Scale), NISS (New Injury Severity Score) and thoracic injury] associated with 30-day mortality.

RESULTS

A total of 2397 patients were included. Of those, 768 patients (32%) had a thoracic injury. The mean (± SD, range) age of all patients (n = 2397) was 46 (20, 18-98) years, and the majority (n = 1709, 71%) of the patients were males. There was a greater proportion of patients with rib fractures among older (≥ 60 years) patients, whereas younger patients had a higher proportion of injuries to the internal thoracic organs. The 30-day mortality was 11% (n = 87) in patients with thoracic injury and 4.3% (n = 71) in patients without. After multivariable adjustment, a thoracic injury was found to be associated with an increased risk of 30-day mortality (OR 1.9, 95% CI 1.3-3.0); as was age ≥ 60 years (OR 3.7, 95% CI 2.3-6.0), ASA class 3-4 (OR 2.3, 95% CI 1.4-3.6), GCS 1-8 (OR 21, 95% CI 13-33) and NISS > 15 (OR 4.2, 2.4-7.3).

CONCLUSION

Thoracic injury was an independent predictor of 30-day mortality after adjustment for relevant key variables. We also found a difference in injury patterns with older patients having a higher proportion of rib fractures, whilst younger patients suffered more internal thoracic organ injuries.

Characteristics and outcome of traumatic cardiac arrest at a level 1 trauma centre over 10 years in Sweden

BACKGROUND

Historically, resuscitation in traumatic cardiac arrest (TCA) has been deemed futile. However, recent literature reports improved but varying survival. Current European guidelines emphasise the addressing of reversible aetiologies in TCA and propose that a resuscitative thoracotomy may be performed within 15 min from last sign of life. To improve clinician understanding of which patients benefit from resuscitative efforts we aimed to describe the characteristics and 30-day survival for traumatic cardiac arrest at a Swedish trauma centre with a particular focus on resuscitative thoracotomy.

METHODS

Retrospective cohort study of adult patients (≥ 15 years) with TCA managed at Karolinska University Hospital Solna between 2011 and 2020. Trauma demographics, intra-arrest factors, lab values and procedures were compared between survivors and non-survivors.

RESULTS

Among the 284 included patients the median age was 38 years, 82.2% were male and 60.5% were previously healthy. Blunt trauma was the dominant injury in 64.8% and median Injury Severity Score (ISS) was 38. For patients with a documented arrest rhythm, asystole was recorded in 39.2%, pulseless electric activity in 24.8% and a shockable rhythm in 6.8%. Thirty patients (10.6%) survived to 30 days with a Glasgow Outcome Scale score of 3 (n = 23) or 4 (n = 7). The most common causes of death were haemorrhagic shock (50.0%) and traumatic brain injury (25.5%). Survivors had a lower ISS (P < 0.001), more often had reactive pupils (P < 0.001) and a shockable rhythm (P = 0.04). In the subset of prehospital TCA, survivors less frequently received adrenaline (epinephrine) (P < 0.001) and in lower amounts (P = 0.02). Of patients that underwent resuscitative thoracotomy (n = 101), survivors (n = 12) had a shorter median time from last sign of life to thoracotomy (P = 0.03), however in four of these survivors the time exceeded 15 min.

CONCLUSION

Survival after TCA is possible. Determining futility in TCA is difficult and this study demonstrates survivors outside of recent guidelines.

Association of Early Norepinephrine Administration With 24-Hour Mortality Among Patients With Blunt Trauma and Hemorrhagic Shock

IMPORTANCE

Hemorrhagic shock is a common cause of preventable death after injury. Vasopressor administration for patients with blunt trauma and hemorrhagic shock is often discouraged.

OBJECTIVE

To evaluate the association of early norepinephrine administration with 24-hour mortality among patients with blunt trauma and hemorrhagic shock.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective, multicenter, observational cohort study used data from 3 registries in the US and France on all consecutive patients with blunt trauma from January 1, 2013, to December 31, 2018. Patients were alive on admission with hemorrhagic shock, defined by prehospital or admission systolic blood pressure less than 100 mm Hg and evidence of hemorrhage (ie, prehospital or resuscitation room transfusion of packed red blood cells, receipt of emergency treatment for hemorrhage control, transfusion of >10 units of packed red blood cells in the first 24 hours, or death from hemorrhage). Blunt trauma was defined as any exposure to nonpenetrating kinetic energy, collision, or deceleration. Statistical analysis was performed from January 15, 2021, to February 22, 2022.

EXPOSURE

Continuous administration of norepinephrine in the prehospital environment or resuscitation room prior to hemorrhage control, according to European guidelines.

MAIN OUTCOMES AND MEASURES

The primary outcome was 24-hour mortality, and the secondary outcome was in-hospital mortality. The average treatment effect (ATE) of early norepinephrine administration on 24-hour mortality was estimated according to the Rubin causal model. Inverse propensity score weighting and the doubly robust approach with 5 distinct analytical strategies were used to determine the ATE.

RESULTS

A total of 52 568 patients were screened for inclusion, and 2164 patients (1508 men [70%]; mean [SD] age, 46 [19] years; median Injury Severity Score, 29 [IQR, 17-36]) presented with acute hemorrhage and were included. A total of 1497 patients (69.1%) required emergency hemorrhage control, 128 (5.9%) received a prehospital transfusion of packed red blood cells, and 543 (25.0%) received a massive transfusion. Norepinephrine was administered to 1498 patients (69.2%). The 24-hour mortality rate was 17.8% (385 of 2164), and the in-hospital mortality rate was 35.6% (770 of 2164). None of the 5 analytical strategies suggested any statistically significant association between norepinephrine administration and 24-hour mortality, with ATEs ranging from -4.6 (95% CI, -11.9 to 2.7) to 2.1 (95% CI, -2.1 to 6.3), or between norepinephrine administration and in-hospital mortality, with ATEs ranging from -1.3 (95% CI, -9.5 to 6.9) to 5.3 (95% CI, -2.1 to 12.8).

CONCLUSIONS AND RELEVANCE

The findings of this study suggest that early norepinephrine infusion was not associated with 24-hour or in-hospital mortality among patients with blunt trauma and hemorrhagic shock. Randomized clinical trials that study the effect of early norepinephrine administration among patients with trauma and hypotension are warranted to further assess whether norepinephrine is safe for patients with hemorrhagic shock.

Differences in time-critical interventions and radiological examinations between adult and older trauma patients: A national register-based study

BACKGROUND

Older trauma patients are reported to receive lower levels of care than younger adults. Differences in clinical management between adult and older trauma patients hold important information about potential trauma system improvement targets. The aim of this study was to compare prehospital and early in-hospital management of adult and older trauma patients, focusing on time-critical interventions and radiological examinations.

METHODS

Retrospective analysis of the Norwegian Trauma Registry for 2015 through 2018. Trauma patients 16 years or older met by a trauma team and with New Injury Severity Score of 9 or greater were included, dichotomized into age groups 16 years to 64 years and 65 years or older. Prehospital and emergency department clinical management, advanced airway management, chest decompression, and admission radiological examinations was compared between groups applying descriptive statistics and appropriate statistical tests.

RESULTS

There were 9543 patients included, of which 28% (n = 2711) were 65 years or older. Older patients, irrespective of injury severity, were less likely attended by a prehospital doctor/paramedic team (odds ratio [OR], 0.64; 95% confidence interval [CI], 0.57-0.71), conveyed by air ambulance (OR, 0.65; 95% CI, 0.58-0.73), and transported directly to a trauma center (OR, 0.86; 95% CI, 0.79-0.94). Time-critical intervention and primary survey radiological examination rates only differed between age groups among patients with New Injury Severity Score of 25 or greater, showing lower rates for older adults (advanced airway management: OR, 0.60; 95% CI, 0.47-0.76; chest decompression: OR, 0.46; 95% CI, 0.25-0.85; x-ray chest: OR, 0.54; 95% CI, 0.39-0.75; x-ray pelvis: OR, 0.69; 95% CI, 0.57-0.84). However, for the patients attended by a doctor/paramedic team, there were no management differences between age groups.

CONCLUSION

Older trauma patients were less likely to receive advanced prehospital care compared with younger adults. Older patients with very severe injuries received fewer time-critical interventions and radiological examinations. Improved dispatch of doctor/paramedic teams to older adults and assessment of the impact the observed differences have on outcome are future research priorities.

LEVEL OF EVIDENCE

Therapeutic/Care Management; Level III.

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.

Influence of psychiatric co-morbidity on health-related quality of life among major trauma patients

PURPOSE

The purpose of this study was to compare 1-year post-discharge health-related quality of life (HRQL) between trauma patients with and without psychiatric co-comorbidity.

METHODS

A retrospective single-center cohort study identified all severely injured adult trauma patients admitted to a Level 1 trauma center between 2018 and 2019. Bivariate analysis compared patients with and without psychiatric co-morbidity, which was defined as prior diagnosis by a healthcare provider or acute psychiatric consultation for new or chronic mental illness. HRQL metrics included the EuroQol-5D-5L (EQ-5D) questionnaire, visual analogue scale (EQ-VAS), and overall index score. A multiple linear regression model was utilized to identify predictors of EQ-5D index scores.

RESULTS

Analysis of baseline characteristics revealed significantly greater rates of substance abuse, severe extremity injuries, inpatient morbidity, and hospital length-of-stay among patients with psychiatric illness. At 1-year follow-up, patients with psychiatric co-morbidity had lower median EQ-5D index scores compared to the control group (0.71, interquartile range [IQR] 0.32 vs. 0.79, IQR 0.22, p = 0.03). There were no differences between groups in individual EQ-5D dimensions, nor in EQ-VAS scores. Presence of psychiatric co-morbidity was not found to independently predict EQ-5D index scores in the linear regression model. Instead, Injury Severity Score (standardized regression coefficient [SRC] - 0.15, 95% confidence interval [CI] - 0.010 to - 0.001) and American Society of Anesthesiologists Physical Status score (SRC - 0.13, 95% CI - 0.08 to - 0.004) predicted poor HRQL 1-year after injury.

CONCLUSIONS

Psychiatric co-morbidity does not independently predict low HRQL 1 year after injury. Instead, lower HRQL scores among patients with psychiatric co-morbidity appear to be mediated by baseline health status and injury severity.

Differences in characteristics between patients ≥ 65 and < 65 years of age with orthopaedic injuries after severe trauma

Aim

Many trauma patients have associated orthopaedic injuries at admission. The existing literature regarding orthopaedic trauma often focuses on single injuries, but there is a paucity of information that gives an overview of this group of patients. Our aim was to describe the differences in characteristics between polytrauma patients ≥ 65 and < 65 years of age suffering orthopaedic injuries.

Methods

Patients registered in the Norwegian Trauma Registry (NTR) with an injury severity score (ISS) > 15 and orthopaedic injuries, who were admitted to Haukeland University Hospital in 2016–2018, were included. Data retrieved from the patients’ hospital records and NTR were analysed. The patients were divided into two groups based on age.

Results

The study comprised 175 patients, of which 128 (73%) and 47 (27%) were aged < 65 (Group 1) and ≥ 65 years (Group 2), respectively. The ISS and the new injury severity score (NISS) were similar in both groups. The dominating injury mechanism was traffic-related and thoracic injury was the most common location of main injury in both groups. The groups suffered a similar number of orthopaedic injuries. A significantly higher proportion of Group 1 underwent operative treatment for their orthopaedic injuries than in Group 2 (74% vs. 53%). The mortality in Group 2 was significantly higher than that in Group 1 (15% vs. 3%). In Group 2 most deaths were related to traffic injuries (71%). High energy falls and traffic-related incidents caused the same number of deaths in Group 1. In Group 1 abdominal injuries resulted in most deaths, while head injuries was the primary reason for deaths in Group 2.

Conclusions

Although the ISS and NISS were similar, mortality was significantly higher among patients aged ≥ 65 years compared to patients < 65 years of age. The younger age group underwent more frequently surgery for orthopaedic injuries than the elderly. There may be multiple reasons for this difference, but our study does not have sufficient data to draw any conclusions. Future studies may provide a deeper understanding of what causes treatment variation between age groups, which would hopefully help to further develop strategies to improve outcome for the elderly polytrauma patient.

Prehospital Intubation of Patients with Severe Traumatic Brain Injury: A Dutch Nationwide Trauma Registry Analysis

ObjectivePatients with severe traumatic brain injury (TBI) are commonly intubated during prehospital treatment despite a lack of evidence that this is beneficial. Accumulating evidence even suggests that prehospital intubation may be hazardous, in particular when performed by inexperienced EMS clinicians. To expand the limited knowledge base, we studied the relationship between prehospital intubation and hospital mortality in patients with severe TBI in a large Dutch trauma database. We specifically hypothesized that the relationship differs depending on whether a physician-based emergency medical service (EMS) was involved in the treatment, as opposed to intubation by paramedics.MethodsA retrospective analysis was performed using the Dutch Nationwide Trauma Registry that includes all trauma patients in the Netherlands who are admitted to any hospital with an emergency department. All patients treated for severe TBI (Head Abbreviated Injury Scale score ≥4) between January 2015 and December 2019 were selected. Multivariable logistic regression was used to assess the relationship between prehospital intubation and mortality while adjusting for potential confounders. An interaction term between prehospital intubation and the involvement of physician-based EMS was added to the model. Complete case analysis as well as multiple imputation were performed.Results8946 patients (62% male, median age 63 years) were analyzed. The hospital mortality was 26.4%. Overall, a relationship between prehospital intubation and higher mortality was observed (complete case: OR 1.86, 95%CI 1.35-2.57, P < 0.001; multiple imputation: OR 1.92, 95%CI 1.56-2.36, P < 0.001). Adding the interaction revealed that the relationship of prehospital intubation may depend on whether physician-based EMS is involved in the treatment (complete case: P = 0.044; multiple imputation: P = 0.062). Physician-based EMS involvement attenuated but did not completely remove the detrimental association between prehospital intubation and mortality.ConclusionThe data do not support the common practice of prehospital intubation. The effect of prehospital intubation on mortality might depend on EMS clinician experience, and it seems prudent to involve prehospital personnel well proficient in prehospital intubation whenever intubation is potentially required. The decision to perform prehospital intubation should not merely be based on the largely unsupported dogma that it is generally needed in severe TBI, but should rather individually weigh potential benefits and harms.

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

BACKGROUND

Containment 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.

METHODS

Data 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.

RESULTS

This 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.

CONCLUSIONS

The 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.

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

PURPOSE

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Trauma triage criteria as predictors of severe injury - a Swedish multicenter cohort study

BACKGROUND

Adequate performance of trauma team activation (TTA) criteria is important in order to accurately triage trauma patients. The Swedish National Trauma Triage Criteria (SNTTC) consists of 29 criteria that trigger either a Trauma Alert, the highest level of TTA, or a Trauma Response. This study aimed to evaluate the SNTTC and its accuracy in predicting a severely injured patient in a multicenter setting.

METHODS

A cohort study in Sweden involving six trauma receiving hospitals. Data was collected from the Swedish Trauma Registry. Some 626 patients were analyzed with regard to the specific criteria used to initiate the TTA, injury severity with New Injury Severity Score (NISS) and emergency interventions. Sensitivity, specificity, positive predictive value (PPV) and positive likelihood ratio (LR+) of the criteria were calculated, as well as undertriage and overtriage.

RESULTS

All 29 criteria of SNTTC had a sensitivity > 80% for identifying a severely injured patient. The 16 Trauma Alert Criteria had a lower sensitivity of 62.6% but higher LR+ (3.5 vs all criteria 1.4), specificity (82.3 vs 39.1%) and PPV (55.4 vs 37.6%) and the highest accuracy (AUC 0.724). When using only the six physiological criteria, sensitivity (44.8%) and accuracy (AUC 0.690) decreased while LR+ (6.7), specificity (93.3%) and PPV (70.2%) improved.

CONCLUSION

SNTTC is efficient in identifying severely injured patients. The current set of criteria exhibits the best sensitivity compared to other examined combinations and no additional criterion was found to improve the protocol enough to promote a change.

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

PURPOSE

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.