Direct transport to tertiary trauma centers versus transfer from lower level facilities: impact on mortality and morbidity among patients with major trauma

Ambulance deserts and inequities in access to emergency medical services care: Are injured patients at risk for delayed care in the prehospital system?

INTRODUCTION

Delayed Emergency Medical Services (EMS) response and transport (time from injury occurrence to hospital arrival) are associated with increased injury mortality. Inequities in accessing EMS care for injured patients are not well characterized. We sought to evaluate the association between the area deprivation index (ADI), a measure of geographic socioeconomic disadvantage, and timely access to EMS care within the United States.

METHODS

The Homeland Infrastructure Foundation Level Data open-source database from the National Geospatial Intelligence Agency was used to evaluate the location of EMS stations across the United States using longitude and latitude coordinates. The ADI was obtained from Neighborhood Atlas at the census block group level. An ambulance desert (AD) was defined as populated census block groups with a geographic center outside of a 25-minute ambulance service area. The total population (urban and rural) located within an AD and outside an AD (non-ambulance desert [NAD]) and the ADI index distribution within those areas were calculated with their statistical significance derived from χ2 testing. Spearman correlations between the number of EMS stations available within 25-minutes service areas and ADI were calculated, and statistical significance was derived after accounting for spatial autocorrelation.

RESULTS

A total of 42,472 ground EMS stations were identified. Of the 333,036,755 people (current US population), 2.6% are located within an AD. When stratified by type of population, 0.3% of people within urban populations and 8.9% of people within rural populations were located within an AD (p < 0.01). When compared with NADs, ADs were more likely to have a higher ADI (ADIAD, 53.13; ADINAD, 50.41; p < 0.01). The number of EMS stations available per capita was negatively correlated with ADI (rs = -0.25, p < 0.01), indicating that people living in more disadvantaged neighborhoods are likely to have fewer EMS stations available.

CONCLUSION

Ambulance deserts are more likely to affect rural versus urban populations and are associated with higher ADIs. The impact of inequities in access to EMS care on outcomes deserves further study.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

A narrative review: Resuscitation of older adults with hemorrhagic shock

BACKGROUND

The increasing population of older adults presents unique challenges in trauma care due to their reduced physiologic reserve compared to younger patients. Trauma-induced hemorrhage remains a leading cause of mortality, yet there is a significant gap in the optimal management of hemodynamically unstable older adults. This review aims to synthesize current literature on resuscitation strategies, coagulopathy, triage, and the impact of timely interventions in older adult trauma patients experiencing hemorrhagic shock.

STUDY DESIGN AND METHODS

A comprehensive narrative review was conducted following PRISMA-Scr guidelines. A systematic literature search was performed using PubMed, Scopus, and Web of Science databases, yielding 380 titles. After removing duplicates, 287 unique articles were screened, of which 120 full-text articles were reviewed. A total of 45 studies met the inclusion criteria and were analyzed. Studies were categorized based on resuscitation protocols (14 studies), coagulopathy management (7 studies), frailty and aging physiology (10 studies), and timing/triage in trauma care (14 studies).

RESULTS

Studies highlight the effectiveness of the shock index (SI) over traditional vital signs for identifying hemodynamic instability in older adults. Balanced transfusion ratios and whole blood resuscitation show potential benefits, though data specific to older adults remain limited. Goal-directed resuscitation protocols improve outcomes by addressing the unique physiological needs of this population. While trauma-induced coagulopathy rates are similar across age groups, older adults frequently present with pre-existing anticoagulation, complicating management. Standardized care pathways, early activation of massive transfusion protocols (MTP), and tailored resuscitation approaches are critical for optimizing care.

DISCUSSION

The growing geriatric trauma population necessitates improved resuscitation strategies tailored to their unique physiological responses. While balanced transfusions and goal-directed protocols have demonstrated efficacy, further research is required to refine these interventions specifically for older adults. Establishing standardized resuscitation guidelines and defining futility criteria will enhance decision-making and improve outcomes for this vulnerable population.

Exploring patient and system factors impacting undertriage of injured patients meeting national field triage guideline criteria

BACKGROUND

Trauma systems save lives by coordinating timely and effective responses to injury. However, trauma system effectiveness varies geographically, with worse outcomes observed in rural settings. Prior data suggest that undertriage may play a role in this disparity. Our aim was to explore potential driving factors for decision making among clinicians for undertriaged trauma patients.

METHODS

We performed a retrospective analysis of the National Emergency Medical Services Information System database among patients who met physiologic or anatomic national field triage guideline criteria for transport to the highest level of trauma center. Undertriage was defined as transport to a non-level I/II trauma center. Multivariable logistic regression was used to determine demographic, injury, and system characteristics associated with undertriage. Undertriaged patients were then categorized into "recognized" and "unrecognized" groups using the documented reason for transport destination to identify underlying factors associated with undertriage.

RESULTS

A total of 36,094 patients were analyzed. Patients in urban areas were more likely to be transported to a destination based on protocol rather than the closest available facility. As expected, patients injured in urban regions were less likely to be undertriaged than their suburban (adjusted odds ratio [aOR], 2.69; 95% confidence interval [95% CI], 2.21-3.31), rural (aOR, 2.71; 95% CI, 2.28-3.21), and wilderness counterparts (aOR, 3.99; 95% CI, 2.93-5.45). The strongest predictor of undertriage was patient/family choice (aOR, 6.29; 5.28-7.50), followed by closest facility (aOR, 5.49; 95% CI, 4.91-6.13) as the reason for hospital selection. Nonurban settings had over twice the odds of recognizing the presence of triage criteria among undertriaged patients ( p < 0.05).

CONCLUSION

Patients with injuries in nonurban settings and those with less apparent causes of severe injury are more likely to experience undertriage. By analyzing how prehospital clinicians choose transport destinations, we identified patient and system factors associated with undertriage. Targeting these at-risk demographics and contributing factors may help alleviate regional disparities in undertriage.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

Trauma center proliferation in the United States: concerns and potential solutions

There has been an increase in the number of Level I and II trauma centers across the United States in the past few decades. However, data suggest that access to trauma care remains poor in rural areas of the country, while in many urban areas, trauma center density may be too high. Excessive trauma center proliferation in urban areas has the potential for negative effects on patient care and increased trauma system costs. The efficiency and competency of each trauma center may be decreased by having less access to patients, with research, surgeon experience, and training programs for residents, fellows, medical students, and other allied health providers all affected. Because of these concerns, the Orthopaedic Trauma Association (OTA) Health Policy Committee reviewed trauma center trends and trauma system needs and considered the potential effect of the increase in the number of centers on patient care as well as surgeon experience and training. This article reviews the different types of trauma centers and their designation process, as well as the growth in trauma centers during the past few decades. The committee identified and explored each of these issues and provides suggestions for improvement. Potential solutions identified include developing and applying strict criteria for determining the number of trauma centers needed within a given region, considering the needs of the local population, cost containment, and impact on adjacent trauma centers and their educational and research missions. There is opportunity for the OTA to work even more collaboratively with the American College of Surgeons to develop such criteria and to be involved with the orthopaedic accreditation and orthopaedic requirements. Collaboration between professional medical societies such as the OTA and American College of Surgeons and state and federal agencies is needed to help optimize the distribution of trauma centers.

Inter-facility transfers to an urban level 1 trauma center and rates of secondary overtriage

PURPOSE

Many patients originally transported to non-trauma centers (NTC) require transfer to a trauma center (TC) for treatment. The aim was to analyze injury characteristics and outcomes of transfer patients and investigate the secondary overtriage (SOT).

METHODS

Study included 2,056 transfers to an urban level 1 TC between 01/2016 and 06/2020. Analyzed variables included: demographics, Injury Severity Score (ISS), Glasgow Coma Scale (GCS), transfer reason and timing, computed tomography (CT) scans, surgery rate, intensive care unit (ICU) admissions, hospital lengths of stay (HLOS), mortality and SOT. SOT was defined as discharge within 48 h without surgery or ICU admission.

RESULTS

Transfers constituted 32.1% of TC admissions. Mean age was 66.7 and 60.7% were geriatric (≥ 65 years). Mean ISS was 11.6 and GCS was 14.3. The average time between NTC and TC admission was 4.2 h. Main reason for transfer was a head injury (57.9%), followed by a spine injury (19.2%). CT scans were repeated at the TC in 76.1% of patients. Surgical interventions were necessary in 18.5% of patients, with lowest rate in head (13.8%) and spine (15.4%) injuries. 45.9% of patients required ICU admissions. Overall mortality was 7.2%. SOT was 30.5%, being the highest in patients with spine (43.0%) and head (29.4%) injuries. Short HLOS affected SOT rates the most.

CONCLUSIONS

Transfers constituted a third of all TC admissions. The main reasons for transfer were head and spine injuries. SOT accounted for one third of transfers and occurred primarily in patients with spine and head injuries.

Influence of Hospital Transfer Status on Surgical Outcomes for Traumatic Thoracolumbar Spine Fractures: Insights from a Multicenter Investigation

OBJECTIVE

Surgical intervention for unstable thoracolumbar spine fractures is common, but delayed management and complications can impact outcomes. This study compares perioperative outcomes between patients directly admitted and those transferred from another facility for thoracolumbar spine surgery, aiming to identify predictors of complications and mortality.

METHODS

A multicenter retrospective cohort study used the American College of Surgeons National Surgical Quality Improvement Program database from 2011 to 2021 identified 61,626 patients undergoing fusion surgeries for thoracolumbar spine fractures, excluding spinal cord injury or pathological fractures. Patients were categorized as Direct (admitted from the emergency department) and Transfer (transferred from another facility). Perioperative outcomes, including operative time, length of stay (LOS), 30-day mortality, and complications, were compared.

RESULTS

Our patient population (54.3% female, mean age 62.4 ± 12.9 years) comprised 12.2% Transfer and 87.8% Direct patients. Following propensity score matching, Transfer patients had a longer hospital LOS (5.1 ± 5.7 days vs. 4.5 ± 4.6 days, P < 0.001). Transfer exhibited higher rates of superficial incisional surgical site infection (1.7% vs. 1.1%, P = 0.003), sepsis (1.7% vs. 1.3%, P = 0.038), pneumonia (1.7% vs. 1.2%, P = 0.019), postoperative reintubation (0.9% vs. 0.6%, P = 0.036), and failure to wean off ventilator >48 hours postsurgery (0.7% vs. 0.3%, P = 0.005) compared to Direct admissions. Direct group had a higher rate of perioperative transfusion (16.5% vs. 13.4%, P < 0.001). Transfer patients also had a higher 30-day mortality rate compared to Direct admissions (1.1% vs. 0.6%, P = 0.002).

CONCLUSIONS

Interhospital transfers significantly affect hospital LOS, postoperative morbidity, and mortality in thoracolumbar spine surgery. Enhancing postoperative monitoring for transfer patients is crucial.

Identification and Management of Pelvic Fractures in Prehospital and Emergency Department Settings

INTRODUCTION

This study aims to describe the characteristics of patients with a pelvic fracture treated at a level 1 trauma center, the proportion of prehospital undertriage and the use of pelvic circumferential compression device (PCCD).

METHODS

This is a retrospective cohort study. Prehospital and inhospital medical records of adults (≥16 y old) with a pelvic fracture who were treated at Hopital de l'Enfant-Jesus-CHU de Québec (Quebec City, Canada), a university-affiliated level 1 trauma center, between September 01, 2017 and September 01, 2021 were reviewed. Isolated hip or pubic ramus fracture were excluded. Data are presented using proportions and means with standard deviations.

RESULTS

A total of 228 patients were included (males: 62.3%; mean age: 54.6 [standard deviation 21.1]). Motor vehicle collision (47.4%) was the main mechanism of injury followed by high-level fall (21.5%). Approximately a third (34.2%) needed at least one blood transfusion. Compared to those admitted directly, transferred patients were more likely to be male (73.0% versus 51.3%, P < 0.001) and to have a surgical procedure performed at the trauma center (71.3% versus 46.9%, P < 0.001). The proportion of prehospital undertriage was 22.6%. Overall, 17.1% had an open-book fracture and would have potentially benefited from a prehospital PCCD. Forty-six transferred patients had a PCCD applied at the referral hospital of which 26.1% needed adjustment.

CONCLUSIONS

Pelvic fractures are challenging to identify in the prehospital environment and are associated with a high undertriage of 22.6%. Reducing undertriage and optimizing the use of PCCD are key opportunities to improve care of patients with a pelvic fracture.

Should We Keep or Transfer Our Severely Injured Geriatric Patients to Higher Levels of Care?

INTRODUCTION

Interfacility transfer to higher levels of care is becoming increasingly common. This study aims to evaluate the association between transfer to higher levels of care and prolonged transfer times with outcomes of severely injured geriatric trauma patients compared to those who are managed definitively at lower-level trauma centers.

METHODS

Severely injured (Injury Severity Score >15) geriatric (≥60 y) trauma patients in the 2017-2018 American College of Surgeons Trauma Quality Improvement Program database managing at an American College of Surgeons/State Level III trauma center or transferring to a level I or II trauma center were included. Outcome measures were 24-h and in-hospital mortality and major complications.

RESULTS

Forty thousand seven hundred nineteen patients were identified. Mean age was 75 ± 8 y, 54% were male, 98% had a blunt mechanism of injury, and the median Injury Severity Score was 17 [16-21]. Median transfer time was 112 [79-154] min, and the most common transport mode was ground ambulance (82.3%). Transfer to higher levels of care within 90 min was associated with lower 24-h mortality (adjusted odds ratio [aOR]: 0.493, P < 0.001) and similar odds of in-hospital mortality as those managed at level III centers. However, every 30-min delay in transfer time beyond 90 min was progressively associated with increased odds of 24-h (aOR: 1.058, P < 0.001) and in-hospital (aOR: 1.114, P < 0.001) mortality and major complications (aOR: 1.127, P < 0.001).

CONCLUSIONS

Every 30-min delay in interfacility transfer time beyond 90 min is associated with 6% and 11% higher risk-adjusted odds of 24-h and in-hospital mortality, respectively. Estimated interfacility transfer time should be considered while deciding about transferring severely injured geriatric trauma patients to a higher level of care.

Does Referral Distance Deteriorates the Burn Patients Outcome? Results From an Academic Tertiary Hospital in a Developing Country

Every year millions of people are burned and many of them are transported to specialized burn centers. One of the most important challenges in the face of burn patients in urban areas is deciding about referring patients to specialized burn centers. In this study, correlation between referral distance and mortality rate is investigated. Our cross-sectional analytic study included admission data of 7248 burn patients from Imam Reza Burn Center (Mashhad, Iran) over 9 years. The outcomes of interest were mortality, length of hospital stay, and the Abbreviated Burn Severity Index (ABSI). Also, we measured the distance between the patient referral location to Mashhad. SPSS version 16 was used for data analysis. Overall, 52.7% of admitted patients were referred from hospitals in other cities. The referred group had more severe burn injury (P < .001), higher mortality rate (P < .001), and longer length of hospital stay (P < .001). The referred distance was associated with an increased risk of death (Odds ratio = 1.68, 95% CI, 1.47-1.92), but after controlling the severity of burns, only ABSI was the statistically significant predictor of mortality (Odds ration = 2.17, 95% CI, 2.05-2.28). Therefore, increasing the distance from urban areas to specialized burn center did not increase the mortality rate. After adjusting for ABSI, the mortality rate in referred patients was not related to referral distance. By observing referral points based on available guidelines, distance from a referral burn center does not affect mortality rate independently. Therefore, equipping the existing burn centers instead of building new ones and focusing on improving referral system can be a good strategy in low- and middle-income countries with limited resources.

Effectiveness of road safety interventions: An evidence and gap map

Background

Road Traffic injuries (RTI) are among the top ten leading causes of death in the world resulting in 1.35 million deaths every year, about 93% of which occur in low- and middle-income countries (LMICs). Despite several global resolutions to reduce traffic injuries, they have continued to grow in many countries. Many high-income countries have successfully reduced RTI by using a public health approach and implementing evidence-based interventions. As many LMICs develop their highway infrastructure, adopting a similar scientific approach towards road safety is crucial. The evidence also needs to be evaluated to assess external validity because measures that have worked in high-income countries may not translate equally well to other contexts. An evidence gap map for RTI is the first step towards understanding what evidence is available, from where, and the key gaps in knowledge.

Objectives

The objective of this evidence gap map (EGM) is to identify existing evidence from all effectiveness studies and systematic reviews related to road safety interventions. In addition, the EGM identifies gaps in evidence where new primary studies and systematic reviews could add value. This will help direct future research and discussions based on systematic evidence towards the approaches and interventions which are most effective in the road safety sector. This could enable the generation of evidence for informing policy at global, regional or national levels.

Search Methods

The EGM includes systematic reviews and impact evaluations assessing the effect of interventions for RTI reported in academic databases, organization websites, and grey literature sources. The studies were searched up to December 2019.

Selection Criteria

The interventions were divided into five broad categories: (a) human factors (e.g., enforcement or road user education), (b) road design, infrastructure and traffic control, (c) legal and institutional framework, (d) post-crash pre-hospital care, and (e) vehicle factors (except car design for occupant protection) and protective devices. Included studies reported two primary outcomes: fatal crashes and non-fatal injury crashes; and four intermediate outcomes: change in use of seat belts, change in use of helmets, change in speed, and change in alcohol/drug use. Studies were excluded if they did not report injury or fatality as one of the outcomes.

Data Collection and Analysis

The EGM is presented in the form of a matrix with two primary dimensions: interventions (rows) and outcomes (columns). Additional dimensions are country income groups, region, quality level for systematic reviews, type of study design used (e.g., case-control), type of road user studied (e.g., pedestrian, cyclists), age groups, and road type. The EGM is available online where the matrix of interventions and outcomes can be filtered by one or more dimensions. The webpage includes a bibliography of the selected studies and titles and abstracts available for preview. Quality appraisal for systematic reviews was conducted using a critical appraisal tool for systematic reviews, AMSTAR 2.

Main Results

The EGM identified 1859 studies of which 322 were systematic reviews, 7 were protocol studies and 1530 were impact evaluations. Some studies included more than one intervention, outcome, study method, or study region. The studies were distributed among intervention categories as: human factors (n = 771), road design, infrastructure and traffic control (n = 661), legal and institutional framework (n = 424), post-crash pre-hospital care (n = 118) and vehicle factors and protective devices (n = 111). Fatal crashes as outcomes were reported in 1414 records and non-fatal injury crashes in 1252 records. Among the four intermediate outcomes, speed was most commonly reported (n = 298) followed by alcohol (n = 206), use of seatbelts (n = 167), and use of helmets (n = 66). Ninety-six percent of the studies were reported from high-income countries (HIC), 4.5% from upper-middle-income countries, and only 1.4% from lower-middle and low-income countries. There were 25 systematic reviews of high quality, 4 of moderate quality, and 293 of low quality.

Authors' Conclusions

The EGM shows that the distribution of available road safety evidence is skewed across the world. A vast majority of the literature is from HICs. In contrast, only a small fraction of the literature reports on the many LMICs that are fast expanding their road infrastructure, experiencing rapid changes in traffic patterns, and witnessing growth in road injuries. This bias in literature explains why many interventions that are of high importance in the context of LMICs remain poorly studied. Besides, many interventions that have been tested only in HICs may not work equally effectively in LMICs. Another important finding was that a large majority of systematic reviews are of low quality. The scarcity of evidence on many important interventions and lack of good quality evidence-synthesis have significant implications for future road safety research and practice in LMICs. The EGM presented here will help identify priority areas for researchers, while directing practitioners and policy makers towards proven interventions.

The Association Between Inter-Hospital Transfers and the Prognosis of Pediatric Injury in the Emergency Department

BACKGROUND

Inter-hospital transfers of severely injured patients are inevitable due to limited resources. We investigated the association between inter-hospital transfer and the prognosis of pediatric injury using the Korean multi-institutional injury registry.

METHODS

This retrospective observational study was conducted from January 2013 to December 2017; data for hospitalized subjects aged < 18 years were extracted from the Emergency Department-based Injury in Depth Surveillance database, in which 22 hospitals are participating as of 2022. The survival rates of the direct transfer group and the inter-hospital transfer group were compared, and risk factors affecting 30-day mortality and 72- hour mortality were analyzed.

RESULTS

The total number of study subjects was 18,518, and the transfer rate between hospitals was 14.5%. The overall mortality rate was 2.3% (n = 422), the 72-hour mortality was 1.7% (n = 315) and the 30-day mortality rate was 2.2% (n = 407). The Kaplan-Meier survival curve revealed a lower survival rate in the inter-hospital transfer group than in the direct visit group (log-rank, P < 0.001). Cox proportional hazards regression analysis showed that inter-hospital transfer group had a higher 30-day mortality rate and 72-hour mortality (hazard ratio [HR], 1.681; 95% confidence interval [CI], 1.232-2.294 and HR, 1.951; 95% CI, 1.299-2.930) than direct visit group when adjusting for age, sex, injury severity, and head injury.

CONCLUSION

Among the pediatric injured patients requiring hospitalization, inter-hospital transfer in the emergency department was associated with the 30-day mortality rate and 72-hour mortality rate in Korea.

It is (not) always on Friday: inter-hospital patient transfers in orthopedic and trauma surgery

BACKGROUND

While inter-hospital transfers for patients who have suffered major trauma have been well investigated, patient flows for other injured patients, or cases with orthopedic complications, are rarely described. This study aims to analyze the affected collective and to show possible reasons, patterns, and pitfalls to optimize the process in future.

MATERIALS AND METHODS

In a prospective cohort study, all consecutive transfers to a Level I trauma center in Germany were documented and assessed. Patients suffering a major trauma were excluded. Data on the primary treating hospital, patient characteristics, and differences between emergency and elective surgery were analyzed.

RESULTS

A total of 227 patients were included; 162 were injured, while 65 had suffered a complication after elective orthopedic surgery or had a complex orthopedic pathology. The most common diagnoses leading to transfer were pathologies of the extremities (n = 62), pathologies of the spine (n = 50), and infections (n = 18). The main reasons stated by the transferring hospitals were a lack of expertise (137 cases) and a lack of capacity (43 cases). There was a significantly higher rate of transfers due to trauma (n = 162) than for orthopedic patients (n = 65), p < 0.0001.

CONCLUSION

There is currently no structured procedure or algorithm for transferring patients in orthopedics and trauma surgery.

Evaluation of the interhospital patient transfer after implementation of a regionalized trauma care system (TraumaNetzwerk DGU®) in Germany

Purpose

The aim of the study was to evaluate how many patients are being transferred between trauma centers and and their characteristics in the 2006 initiated TraumaNetzwerk DGU® (TNW). We further investigated the time point of transfer and differences in outcome, compared to patients not being transferred. We wanted to know how trauma centers judged the performance of the TNW in transfer.

Method

(1) We analyzed the data of the TraumaRegister DGU® (TR-DGU) from 2014-2018. Included were patients that were treated in German trauma centers, maximum AIS (MAIS) >2 and MAIS 2 only in case of admission on ICU or death of the patient. Patients being transferred were compared to patients who were not. Characteristics were compared, and a logistic regression analysis performed to identify predictive factors. (2) We performed a survey in the TNW focussing on frequency, timing and communication between hospitals and improvement through TNW.

Results

Study I analyzed 143,195 patients from the TR-DGU. Their mean ISS was 17.8 points (SD 11.5). 56.4% were admitted primarily to a Level-I, 32.2% to a Level-II and 11.4% to a Level-III Trauma Center. 10,450 patients (7.9%) were transferred. 3,667 patients (22.7%) of the admitted patients of Level-III Center and 5,610 (12.6%) of Level-II Center were transferred, these patients showed a higher ISS (Level-III: 18.1 vs. 12.9; Level-II: 20.1 vs. 15.8) with more often a severe brain injury (AIS 3+) (Level-III: 43.6% vs. 13.1%; Level-II: 53.2% vs. 23.8%). Regression analysis showed ISS 25+ and severe brain injury AIS 3+ are predictive factors for patients needing a rapid transfer. Study II: 215 complete questionnaires (34%) of the 632 trauma centers. Transfers were executed within 2 h after the accident (Level-III: 55.3%; Level-II: 25.0%) and between 2-6 h (Level-III: 39.5%; Level-II: 51.3%). Most trauma centers judged that implementation of TNW improved trauma care significantly (Level III: 65.0%; Level-II: 61.4%, Level-I: 56.7%).

Conclusion

The implementation of TNW has improved the communication and quality of comprehensive trauma care of severely injured patients within Germany. Transfer is mostly organized efficient. Predictors such as higher level of head injury reveal that preclinical algorithm present a potential of further improvement.

Prehospital times and outcomes of patients transported using an ambulance trauma transport protocol: A data linkage analysis from New South Wales Australia

INTRODUCTION

Prehospital trauma systems are designed to ensure optimal survival from critical injuries by triaging and transporting such patients to the most appropriate hospital in a timely manner.

OBJECTIVES

We sought to evaluate whether prehospital time and location (metropolitan versus non-metropolitan) were associated with 30-day mortality in a cohort of patients transported by road ambulance using a trauma transport protocol.

METHODS

Data linkage analysis of routinely collected ambulance and hospital data across all public hospitals in New South Wales (NSW). The data linkage cohort included adult patients (age ≥ 16years) transported by NSW Ambulance, where a T1 Major Trauma Transport Protocol was documented by paramedic crews and transported by road to a public hospital emergency department in NSW for two years between January 2019 and December 2020. The outcomes of interest were prehospital times (response time, scene time and transport time) and 30-day mortality due to injury.

RESULTS

9012 cases were identified who were transported to an emergency department with T1 protocol indication. Median prehospital transport times were longer in non-metropolitan road transports [n = 3,071, 98 min (71-126)] compared to metropolitan transports [n = 5,941, 65 min (53-80), p < 0.001]. There was no significant difference in 30-day mortality between the two groups (1.24% vs 1.65%, p = 0.13). In the subgroup of patients with abnormal vital signs, the only predictors of mortality were increasing age, presence of severe injury (OR 24.87, 95%CI 11.02, 56.15, p < 0.001), and arrival at a non-trauma facility (OR 3.01, 95%CI 1.26, 7.20, p < 0.05). Increasing transport times were not found to increase the odds of 30-day mortality.

DISCUSSION

In the context of an inclusive trauma system and an established prehospital major trauma protocol, increasing prehospital transport times and scene location were not associated with increased mortality.

Development and validation of a Bayesian network predicting neurosurgical intervention after injury in children and adolescents

BACKGROUND

Timely surgical decompression improves functional outcomes and survival among children with traumatic brain injury and increased intracranial pressure. Previous scoring systems for identifying the need for surgical decompression after traumatic brain injury in children and adults have had several barriers to use. These barriers include the inability to generate a score with missing data, a requirement for radiographic imaging that may not be immediately available, and limited accuracy. To address these limitations, we developed a Bayesian network to predict the probability of neurosurgical intervention among injured children and adolescents (aged 1-18 years) using physical examination findings and injury characteristics observable at hospital arrival.

METHODS

We obtained patient, injury, transportation, resuscitation, and procedure characteristics from the 2017 to 2019 Trauma Quality Improvement Project database. We trained and validated a Bayesian network to predict the probability of a neurosurgical intervention, defined as undergoing a craniotomy, craniectomy, or intracranial pressure monitor placement. We evaluated model performance using the area under the receiver operating characteristic and calibration curves. We evaluated the percentage of contribution of each input for predicting neurosurgical intervention using relative mutual information (RMI).

RESULTS

The final model included four predictor variables, including the Glasgow Coma Scale score (RMI, 31.9%), pupillary response (RMI, 11.6%), mechanism of injury (RMI, 5.8%), and presence of prehospital cardiopulmonary resuscitation (RMI, 0.8%). The model achieved an area under the receiver operating characteristic curve of 0.90 (95% confidence interval [CI], 0.89-0.91) and had a calibration slope of 0.77 (95% CI, 0.29-1.26) with a y intercept of 0.05 (95% CI, -0.14 to 0.25).

CONCLUSION

We developed a Bayesian network that predicts neurosurgical intervention for all injured children using four factors immediately available on arrival. Compared with a binary threshold model, this probabilistic model may allow clinicians to stratify management strategies based on risk.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

Comparison of Preventable Trauma Death Rates in Patients With Traumatic Brain Injury Before and After the Establishment of Regional Trauma Center: A Single Center Experience

Objective

To compare preventable trauma death rates (PTDRs) in patients with traumatic brain injury before and after the establishment of a regional trauma center (RTC) at a single center.

Methods

Our institution established an RTC in 2014. A total of 709 patients were enrolled from January 2011 to December 2013 (before RTC) and 672 from January 2019 to December 2021 (after RTC). The revised trauma score, injury severity score, and trauma and injury severity score (TRISS) were evaluated. Definitive preventable (DP), possibly preventable (PP), and non-preventable deaths were defined as TRISS >0.5, TRISS 0.25-0.5, and TRISS <0.25, respectively. PTDR was the proportion of deaths from DP+PP out of all deaths, and the preventable major trauma death rate (PMTDR) was the proportion of deaths from DP+PP out of all DP+PP.

Results

The overall mortality rates before and after the establishment of RTC were 20.3 and 13.1%, respectively. PTDR was lower after the establishment of RTC than before (90.3% vs. 79.5%). The PMTDR was also lower after the establishment of RTC than before (18.8% vs. 9.7%). The ratio of direct hospital visits was higher in patients before the establishment of RTC than in those after (74.9% vs. 61.3%, p<0.001).

Conclusion

Establishing the RTC reduced PTDRs. Additional studies on factors associated with PTDR reduction are required.

Predicting Futility in Severely Injured Patients: Using Arrival Lab Values and Physiology to Support Evidence-Based Resource Stewardship

BACKGROUND

The recent pandemic exposed a largely unrecognized threat to medical resources, including daily available blood products. Some of the most severely injured patients who arrive in extremis consume tremendous resources yet succumb shortly after arrival. We sought to identify cut points available early in the patient's resuscitation that predicted 100% mortality.

STUDY DESIGN

Cut points were developed from a previously collected data set of all level 1 trauma patients admitted January 2010 to December 2016. Objective values available on or shortly after arrival were evaluated. Once generated, we then validated these variables against (1) a prospective data set November 2017 to October 2021 of severely injured patients and (2) a multicenter, randomized trial of hemorrhagic shock patients. Analyses were conducted using STATA 17.0 (College Station, TX), generating positive predictive value (PPV), negative predictive value, sensitivity, and specificity.

RESULTS

The development data set consisted of 9,509 patients (17% mortality), with 2,137 (24%) and 680 (24%) in the two validation data sets. Several combinations of arrival vitals and labs had 100% PPV. Patients undergoing CPR in the field or on arrival (with subsequent return of spontaneous circulation) required lower fibrinolysis LY-30 (30%) than those with systolic blood pressures of ≤50 (30 to 50%), ≤70 (80 to 90%), and ≤90 mmHg (90%). Using a combination of these validated variables, the Suspension of Transfusions and Other Procedures (STOP) criteria were developed, with each element predicting 100% mortality, allowing physicians to cease further resuscitative efforts.

CONCLUSIONS

The use of evidence-based STOP criteria provides cut points of futility to help guide early decisions for discontinuing aggressive treatment of severely injured patients arriving in extremis.

Performance of a provincial prehospital trauma triage protocol: A retrospective audit

Objective

To assess the accuracy of a five-step prehospital trauma triage protocol ( Échelle québécoise de triage préhospitalier en traumatologie (EQTPT)) to identify patients requiring urgent and specialized in-hospital trauma care in the Capitale-Nationale region – Québec.

Methods

The medical records of trauma patients transported by ambulance to one of the five participating emergency departments (EDs) between November 2016 and March 2017 were reviewed. Our primary outcome was the need for one of the following urgent and specialized trauma care: endotracheal intubation in the ED, administration of ≥ 2 blood products in the ED, angioembolization or surgery (excluding single limb surgery) < 24 h and admission to the intensive care unit (ICU) or in-hospital trauma-related death.

Results

A total of 902 patients were included. The median age was 63 (interquartile range (IQR) 51) and 494 (54.8%) were female. The main trauma mechanism was falls (n = 592), followed by motor vehicle accidents (n = 201). Eighty-two (9.1%) patients required at least one urgent and specialized trauma care. Of those, 44 (53.6%) were identified as requiring transport to a level one trauma centre (steps 1–3), 16 were identified as requiring transport to a centre with a lower level of trauma designation (steps 4–5) while 22 (26.8%) did not meet any of the EQTPT criteria. For steps 1 to 3, the sensitivity was 53.7% (95% confidence interval (CI) 42.9–64.4) and the specificity was 81.7% (95% CI 79.1–84.4) in identifying patients requiring specialized trauma care.

Conclusion

The EQTPT lacked sensitivity and was poorly specific to identify trauma patients who need specialized in-hospital trauma care.

Geographic Disparities in Re-triage Destinations Among Seriously Injured Californians

Objective

To quantify geographic disparities in sub-optimal re-triage of seriously injured patients in California.

Summary of Background Data

Re-triage is the emergent transfer of seriously injured patients from the emergency departments of non-trauma and low-level trauma centers to, ideally, high-level trauma centers. Some patients are re-triaged to a second non-trauma or low-level trauma center (sub-optimal) instead of a high-level trauma center (optimal).

Methods

This was a retrospective observational cohort study of seriously injured patients, defined by an Injury Severity Score > 15, re-triaged in California (2009-2018). Re-triages within one day of presentation to the sending center were considered. The sub-optimal re-triage rate was quantified at the state, regional trauma coordinating committees (RTCC), local emergency medical service agencies, and sending center level. A generalized linear mixed-effects regression quantified the association of sub-optimality with the RTCC of the sending center. Geospatial analyses demonstrated geographic variations in sub-optimal re-triage rates and calculated alternative re-triage destinations.

Results

There were 8,882 re-triages of seriously injured patients and 2,680 (30.2 %) were sub-optimal. Sub-optimally re-triaged patients had 1.5 higher odds of transfer to a third short-term acute care hospital and 1.25 increased odds of re-admission within 60 days from discharge. The sub-optimal re-triage rates increased from 29.3 % in 2009 to 38.6 % in 2018. 56.0 % of non-trauma and low-level trauma centers had at least one sub-optimal re-triage. The Southwest RTCC accounted for the largest proportion (39.8 %) of all sub-optimal re-triages in California.

Conclusion

High population density geographic areas experienced higher sub-optimal re-triage rates.

Traumatic Brain Injury Under Triage Risk: A Rural Trauma System Experience

BACKGROUND

The process of interfacility transfer may cause a delay in the necessary medical treatment, which could lead to poor outcomes and increased mortality rates. The ACS-COT considers an acceptable under triage rate of <5%. The aim of this research was to identify the likelihood of under triage among transferred-in traumatic brain injury (TBI) patients.

METHODS

This is a single-center study of Trauma Registry data, from July 1, 2016, to October 31, 2021. The inclusion criteria were based upon age (≥40 years), ICD10 diagnosis of TBI, and interfacility transfer. Under triage using the Cribari matrix method was the dependent variable. A logistic regression was performed to identify additional predictor variables on the likelihood that an adult TBI trauma patient experienced under triage.

RESULTS

878 patients were included in the analysis; 168 (19%) experienced an under triage. The logistic regression model was statistically significant (N = 837, P < .01). In addition, several significant increases in odds for under triage were identified, which included increasing injury severity score (ISS; OR 1.40, P < .01), increasing AIS head region (OR 6.19, P < .01), and personality disorders (OR 3.61, P = .02). In addition, a reduction in odds in TBI adult trauma under triage is the comorbidity of anticoagulant therapy (OR .25, P < .01).

CONCLUSIONS

The likelihood of under triage in the adult TBI trauma population is associated with increasing AIS head injuries and increasing ISS and among those with mental health comorbidities. This evidence and additional protective factors, such as patients on anticoagulant therapy, may aid in education and outreach efforts to reduce under triage among the regional referring centers.

Transfer status may not be associated with worse outcomes in elderly trauma patients

PURPOSE

To compare outcomes of elderly patients who arrive directly to a lead trauma centre to those who are transferred from a peripheral hospital.

METHODS

This study used a retrospective cohort design and data obtained from the local trauma registry. The study population was patients 65 years and older who presented with an Injury Severity Score (ISS) of 12 or greater, or for whom the trauma team was activated, over a 10-year period. Patients were excluded from the study if they arrived direct from the scene and died within 3 hours of arrival, they were found to have no injuries, or they were directly admitted more than 2 days from the time of injury. Following the use of multiple imputation, multivariable logistic regression analysis was used to evaluate the relationship between in-hospital mortality and directness of transport, while adjusting for potentially confounding variables.

RESULTS

Of the 1619 patients included in the analyses over half (54.2%) were transported directly from the scene of injury to the lead trauma hospital (LTH). The remaining 45.8% initially presented to a non-tertiary hospital and were later transferred to the LTH. Crude mortality was 18.7% in the direct group and 14.0% in the transfer group (p = 0.015). The unadjusted odds of death for patients arriving to LTH by referral was 0.71 (95% confidence interval, 0.54, 0.93), compared to patients arriving to the LTH directly. After adjustment for age, ISS, presence of severe head injury, Charlson Comorbidity Index, shock, initial GCS, and ICU admission from the emergency department, the mortality risk did not differ significantly for transferred patients compared to those arriving directly (OR = 0.77 (95% confidence interval, 0.54, 1.09).

CONCLUSION

There was no significant difference in in-hospital mortality between elderly patients transported directly to the trauma centre and those who were transferred from peripheral hospitals.

National Follow-up Survey of Preventable Trauma Death Rate in Korea

BACKGROUND

The preventable trauma death rate survey is a basic tool for the quality management of trauma treatment because it is a method that can intuitively evaluate the level of national trauma treatment. We conducted this study as a national biennial follow-up survey project and report the results of the review of the 2019 trauma death data in Korea.

METHODS

From January 1, 2019 to December 31, 2019, of a total of 8,482 trauma deaths throughout the country, 1,692 were sampled from 279 emergency medical institutions in Korea. All cases were evaluated for preventability of death and opportunities for improvement using a multidisciplinary panel review approach.

RESULTS

The preventable trauma death rate was estimated to be 15.7%. Of these, 3.1% were judged definitive preventable deaths, and 12.7% were potentially preventable deaths. The odds ratio for preventable traumatic death was 2.56 times higher in transferred patients compared to that of patients who visited the final hospital directly. The group that died 1 hour after the accident had a statistically significantly higher probability of preventable death than that of the group that died within 1 hour after the accident.

CONCLUSION

The preventable trauma death rate for trauma deaths in 2019 was 15.7%, which was 4.2%p lower than that in 2017. To improve the quality of trauma treatment, the transfer of severe trauma patients to trauma centers should be more focused.

Evaluation of a new medical retrieval and primary health care advice model in Central Australia: Results of pre‐ and post‐implementation surveys

INTRODUCTION

In February 2018 the Remote Medical Practitioner (RMP)-led telehealth model for providing both primary care advice and aeromedical retrievals in Central Australia was replaced by the Medical Retrieval and Consultation Centre (MRaCC) and Remote Outreach Consultation Centre (ROCC). In this new model, specialists with advanced critical care skills provide telehealth consultations for emergencies 24/7 and afterhours primary care advice (MRaCC) while RMPs (general practitioners) provide primary care telehealth advice in business hours via the separate ROCC.

OBJECTIVE

To evaluate changes in clinicians' perceptions of efficiency and timeliness of the new (MRaCC) and (ROCC) model in Central Australia.

DESIGN

There were 103 and 72 respondents, respectively, to pre- and post-implementation surveys of remote clinicians and specialist staff.

FINDINGS

Both emergency and primary care aspects of telehealth support were perceived as being significantly more timely and efficient under the newly introduced MRaCC/ROCC model. Importantly, health professionals in remote community were more likely to feel that their access to clinical support during emergencies was consistent and immediately available.

DISCUSSION

Respondents consistently perceived the new MRaCC/ROCC model more favourably than the previous RMP-led model, suggesting that there are benefits to having separate referral streams for telehealth advice for primary health care and emergencies, and staffing the emergency stream with specialists with advanced critical care skills.

CONCLUSION

Given the paucity of literature about optimal models for providing pre-hospital medical care to remote residents, the findings have substantial local, national and international relevance and implications, particularly in similar geographically large countries, with low population density.

Do direct admissions to trauma centers have a survival benefit compared to inter-hospital transfers in severe trauma?

PURPOSE

To compare mortality among severe and critically injured patients who were directly admitted (DA) to level I trauma center (TCI) or level II trauma center (TCII) with those who were transferred to a TCI after being initially admitted to a TCII.

METHODS

A cohort study of severe and critically injured patients (Injury Severity Score 16-75) hospitalized between 2010 and 2019 using data from the National Program for Trauma Registration. Multivariate logistic regression models estimated mortality risk, including stratified analyses.

RESULTS

Of the 27,131 hospitalizations, 9.5% were transfers, 60.1% were DA to TCI and 30.4% were DA to TCII. Children ages ≤ 17 years, Non-Jews (minority), critical injuries (ISS 25-75), head injuries (AIS ≥ 3) and fall injuries were significantly more frequent among transfers, compared with the DA groups. Evacuation by emergency medical services was less frequent among transfers. After accounting for possible confounders, transfers had a greater risk of in-hospital mortality [DA to TCI vs transfer, OR (95% CI) 0.61 (0.52-0.72); DA to TCII vs transfer, OR (95% CI) 0.78 (0.65-0.94)]. In stratified analyses, these mortality differences persisted among the sub-group of patients who sustained critical injuries, among the patients with non-penetrating injuries, among the elderly ages ≥ 65 year and during the first 2 weeks of hospitalization.

CONCLUSION

This study has intervention implications that should be directed primarily at prehospital triage and the inter-hospital transfer processes. In addition, there may be a need to optimize the capabilities of regional trauma systems along with continuous performance evaluations and actions as required.

Risk factors for death during newborn and post-newborn hospitalizations among preterm infants

OBJECTIVES

To examine risk factors for mortality among preterm infants during newborn and subsequent hospitalizations, and whether they differ by race/ethnicity.

STUDY DESIGN

We conducted a cross-sectional analysis using the 2016 Kids Inpatient Database. Hospitalizations of preterm infants were categorized as "newborn" for birth admissions, and "post-newborn" for all others. Multivariate logistic regression was performed to calculate associations of mortality with sociodemographic factors.

RESULTS

Of 285915 hospitalizations, there were 7827 (2.7%) deaths. During newborn hospitalizations, adjusted OR (aOR) of death equaled 1.14 (95% CI 1.09-1.20) for males, 68.73 (61.91-76.30) for &lt;29 weeks GA, and 0.81 (0.71-0.92) for transfer. Stratified by race/ethnicity, aOR was 0.69 (0.61-0.71) for Medicaid only among black infants. During post-newborn hospitalizations, death was associated with transfer (aOR 5.02, 3.31-7.61).

CONCLUSIONS

Risk factors for death differ by hospitalization types and race/ethnicity. Analysis by hospitalization types may identify risk factors that inform public health interventions for reducing infant mortality.

Comparing Outcomes between Major Trauma Patients Transferred from a Different Hospital and Patients Transported Directly to Trauma Centers: A Retrospective Analysis with Propensity Score Matching Analysis

This study aimed to explore differences in outcomes between these major trauma patients who were transferred and those directly transported to trauma centers. The medical information and outcome of 5,341 major trauma patients with an injury severity score (ISS) ≥ 16 who were hospitalized for treatment between January 1, 2009, and December 31, 2019, were collected from the Trauma Registry System of the hospital. There were 2,386 patients who were transferred (transfer group) and 2,955 patients transported directly to trauma centers first (direct group). Regarding the outcomes, there was no significant difference in the mortality rate between patients in the transfer group and the direct group (11.1% vs. 10.5%, respectively, $p=0.527$ ). However, the patients in the transfer group had a longer hospital stay (16.8 days vs. 14.3 days, respectively, $p<0.001$ ) and higher incidence of intensive care unit (ICU) admission (74.9% vs. 70.5%, respectively, $p<0.001$ ) than those patients in the direct group. Similar results were observed in the selected 2,139 pairs of propensity score-matched patient populations, who did not present with significant differences in sex, age, comorbidities, trauma mechanisms, and ISS. This study revealed no significant difference in the mortality rate between the two groups of major trauma patients. However, the transferred patients had significantly longer hospital stays and higher rates of ICU admission than patients directly transported to trauma centers.

Disparity in Transport of Critically Injured Patients to Trauma Centers: Analysis of the National Emergency Medical Services Information System (NEMSIS)

BACKGROUND

Patient morbidity and mortality decrease when injured patients meeting CDC Field Triage Criteria (FTC) are transported by emergency medical services (EMS) directly to designated trauma centers (TCs). This study aimed to identify potential disparities in the transport of critically injured patients to TCs by EMS.

STUDY DESIGN

We identified all patients in the National EMS Information System (NEMSIS) database in the National Association of EMS State Officials East region from January 1, 2018, to December 31, 2019, with a final prehospital acuity of critical or emergent by EMS. The cohort was stratified into patients transported to TCs or non-TCs. Analyses consisted of descriptive epidemiology, comparisons, and multivariable logistic regression analysis to measure the association of demographic features, vital signs, and CDC FTC designation by EMS with transport to a TC.

RESULTS

A total of 670,264 patients were identified as sustaining an injury, of which 94,250 (14%) were critically injured. Of those 94,250 critically injured, 56.0% (52,747) were transported to TCs. Among all critically injured women (n = 41,522), 50.4% were transported to TCs compared with 60.4% of critically injured men (n = 52,728, p < 0.001). In a multivariable logistic regression model, critically injured women were 19% less likely to be taken to a TC compared with critically injured men (OR 0.81, 95% CI 0.71-0.93, p = 0.003).

CONCLUSIONS

Critically injured female patients are less likely to be transported to TCs when compared with their male counterparts. Performance improvement processes that assess EMS compliance with field triage guidelines should explicitly evaluate for sex-based disparities. Further studies are warranted.

A Delphi study of rescue and clinical subject matter experts on the extrication of patients following a motor vehicle collision

BACKGROUND

Approximately 1.3 million people die each year globally as a direct result of motor vehicle collisions (MVCs). Following an MVC some patients will remain trapped in their vehicle; these patients have worse outcomes and may require extrication. Following new evidence, updated multidisciplinary guidance for extrication is needed.

METHODS

This Delphi study has been developed, conducted and reported to CREDES standards. A literature review identified areas of expertise and appropriate individuals were recruited to a Steering Group. The Steering Group formulated initial statements for consideration. Stakeholder organisations were invited to identify subject matter experts (SMEs) from a rescue and clinical background (total 60). SMEs participated over three rounds via an online platform. Consensus for agreement / disagreement was set at 70%. At each stage SMEs could offer feedback on, or modification to the statements considered which was reviewed and incorporated into new statements or new supporting information for the following rounds. Stakeholders agreed a set of principles based on the consensus statements on which future guidance should be based.

RESULTS

Sixty SMEs completed Round 1, 53 Round 2 (88%) and 49 Round 3 (82%). Consensus was reached on 91 statements (89 agree, 2 disagree) covering a broad range of domains related to: extrication terminology, extrication goals and approach, self-extrication, disentanglement, clinical care, immobilisation, patient-focused extrication, emergency services call and triage, and audit and research standards. Thirty-three statements did not reach consensus.

CONCLUSION

This study has demonstrated consensus across a large panel of multidisciplinary SMEs on many key areas of extrication and related practice that will provide a key foundation in the development of evidence-based guidance for this subject area.

Accuracy and influencing factors of the Field Triage Decision Scheme for adult trauma patients at a level-1 trauma center in Korea

BACKGROUND

We evaluated the accuracy of the prehospital Field Triage Decision Scheme, which has recently been applied in the Korean trauma system, and the factors associated with severe injury and prognosis at a regional trauma center in Korea.

METHODS

From 2016 to 2018, prehospital data of injured patients were obtained from the emergency medical services of the national fire agency and matched with trauma outcomes at our institution. Severe injury (Injury Severity Score > 15), overtriage/undertriage rate, positive predictive value, negative predictive value, and accuracy were reviewed according to the triage protocol steps. A multivariate logistic regression analysis was performed to identify influencing factors in the field triage.

RESULTS

Of the 2438 patients reviewed, 853 (35.0%) were severely injured. The protocol accuracy was as follows: step 1, 72.3%; step 2, 65.0%; step 3, 66.2%; step 1 or 2, 70.2%; and step 1, 2, or 3, 66.4%. Odds ratios (OR) (95% confidence interval [CIfor systolic blood pressure < 90 mmHg (3.535 [1.920-6.509]; p < 0.001), altered mental status (17.924 [8.980-35.777]; p < 0.001), and pedestrian injuries (2.473 [1.339-4.570], p = 0.04) were significantly associated with 24-h mortality. Penetrating torso injuries (7.108 [4.108-12.300]; p < 0.001); two or more proximal long bone fractures (4.134 [2.316-7.377]); p < 0.001); crushed, degloved, and mangled extremities (8.477 [4.068-17.663]; p < 0.001); amputation proximal to the wrist or ankle (42.964 [5.764-320.278]; p < 0.001); and fall from height (2.141 [1.497-3.062]; p < 0.001) were associated with 24-h surgical intervention.

CONCLUSION

The Korean field triage protocol is not yet accurate, with only some factors reflecting injury severity, making reevaluation necessary.

Positive impact of trauma center to exsanguinating pelvic bone fracture patient survival: A Korean trauma center study

Background:

Trauma center and multidisciplinary management protocols have been proven to improve the outcomes of severely injured patients. Hemorrhage from pelvic injury is associated with high mortality and is a common cause of preventable trauma death. This study aimed to evaluate the effects of the establishment of a trauma center and management protocols on the outcomes of hemodynamically unstable patients with pelvic fractures.

Methods:

Hemodynamically unstable patients with pelvic fractures were reviewed retrospectively over a 10-year period. They were grouped into the pre-phase and post-phase, which were defined as before and after the establishment of a trauma center and protocols, respectively. Basic characteristics and outcomes were compared between periods.

Results:

This study enrolled a total of 106 patients. Basic and physiological characteristics were not significantly different in both phases. Pre-peritoneal packing and resuscitative endovascular balloon occlusion of aorta were only performed in the post-phase (pre-peritoneal packing, N = 27; resuscitative endovascular balloon occlusion of aorta, N = 10). In the post-phase, the time from emergency department arrival to hemostatic intervention was significantly shorter (269 ± 132.4 min vs 147.2 ± 95.5 min, p < 0.0001), and mortality due to acute hemorrhage was significantly lower (p = 0.003; absolute risk reduction: 0.22; relative risk reduction: 0.72). Multivariate logistic regression analysis identified age, injury severity score, and the pre-phase as independent risk factors for mortality.

Conclusion:

The establishment of a trauma center and multidisciplinary management protocols, such as pre-peritoneal packing and resuscitative endovascular balloon occlusion of aorta, improved the outcomes of hemodynamically unstable patients with pelvic fractures.

Can mechanism of injury improve trauma diversion? A retrospective cross-sectional study

Objective:

The objective of this study was to determine the impact of adding selected mechanism of injury (MOI) to the existing trauma diversion criteria adopted in Hong Kong.

Method:

This is a cross-sectional study based on the trauma registry of New Territory West Cluster (NTWC) of Hospital Authority from January 2017 to December 2019. All adult patients aged 18 years or above were recruited if their injury occurred in the catchment area of Pok Oi Hospital (POH) or Tin Shui Wai Hospital (TSWH). Performance of the protocol before and after MOI criteria being added in terms of over-diversion and under-diversion rate was determined. Model discrimination was evaluated by plotting the receiver operating characteristic curve, and the area under the curve was compared before and after MOI criteria added. Net reclassification improvement and integrated discrimination improvement indices were evaluated.

Result:

A total of 502 patients were included for analysis. Before MOI criteria were added, the over-diversion rate and under-diversion rate were 31.1% and 54.7%, respectively. After MOI criteria were added, the over-diversion rate and under-diversion rate were 33.1% and 34.3%, respectively. The receiver operating characteristic curve of current primary trauma diversion (PTD) criteria had an area under the curve of 66.9% (95% confidence interval: 63%–71%). After adding MOI criteria, the new receiver operating characteristic curve yielded an area under the curve of 73.7% (95% confidence interval: 70%–78%), which is significantly better (p < 0.001). Net reclassification improvement and integrated discrimination improvement indices indicated that including MOI criteria would improve the model prediction.

Conclusion:

Adding mechanism of injury can improve trauma diversion protocol performance.

Evaluation of an Expedited Trauma Transfer Protocol: Right Place, Right Time

BACKGROUND

Trauma patients may initially be evaluated at non-trauma centers. This may cause a delay in treatment, which could affect their outcome. Additionally, advanced imaging may be performed which may be suboptimal or unnecessary, increase time to transfer, or unable to be viewed when the patient reaches a trauma center increasing the delays to treatment or need for repeat imaging. Rapid identification and transfer to definitive trauma care, minimizing unnecessary delays should be the priority.

METHODS

The trauma registry at a regional Level 1 Adult/Pediatric Trauma center was queried for transferred trauma patients over a 3-y period. A retrospective review was performed. Transferred trauma patients were compared prior to an expedited transfer protocol to after implementation. Demographics, mechanism of injury, injury severity score, computerized tomography scans performed prior to transfer, mortality, hospital and intensive care unit length of stay were compared using bivariate and multivariable regression statistics where appropriate.

RESULTS

Transferred trauma patients were identified, 683 in the pre-protocol group and 821 in the post-protocol group, an increase of 16.8%. There were no differences in age, sex, injury severity score, mechanism of injury, mortality, hospital, or intensive care unit length of stay (LOS) throughout the study period. There was a significant decrease in time to transfer (263 min ± 222 versus 227 ± 189, P < 0.001) and computerized tomography scans performed prior to transfer (Head 47% versus 32%, C-spine 36% versus 23%, Thorax 22% versus 16%, Abdomen/Pelvis 24% versus 14%, all P values <0.001 except CT Thorax). Interestingly, the rate of underinsured patients did not increase (21% versus 25%, P = 0.05). Risk-adjusted mortality and hospital LOS also did not change during the study period.

CONCLUSIONS

After implementation of an expedited trauma transfer protocol to a regional Level 1 trauma center there was an associated reduced time of arrival to definitive care and decreased advanced imaging done prior to transfer. However, there was no associated decrease in mortality or LOS among transferred patients. Further studies examining prehospital transport or hospital choice decisions and subsequent care provided at non-trauma facilities regarding imaging obtained, care rendered, and transfer decisions can be explored.

Severe traumatic brain injury management in Tanzania: analysis of a prospective cohort

OBJECTIVE

Given the high burden of neurotrauma in low- and middle-income countries (LMICs), in this observational study, the authors evaluated the treatment and outcomes of patients with severe traumatic brain injury (TBI) accessing care at the national neurosurgical institute in Tanzania.

METHODS

A neurotrauma registry was established at Muhimbili Orthopaedic Institute, Dar-es-Salaam, and patients with severe TBI admitted within 24 hours of injury were included. Detailed emergency department and subsequent medical and surgical management of patients was recorded. Two-week mortality was measured and compared with estimates of predicted mortality computed with admission clinical variables using the Corticoid Randomisation After Significant Head Injury (CRASH) core model.

RESULTS

In total, 462 patients (mean age 33.9 years) with severe TBI were enrolled over 4.5 years; 89% of patients were male. The mean time to arrival to the hospital after injury was 8 hours; 48.7% of patients had advanced airway management in the emergency department, 55% underwent cranial CT scanning, and 19.9% underwent surgical intervention. Tiered medical therapies for intracranial hypertension were used in less than 50% of patients. The observed 2-week mortality was 67%, which was 24% higher than expected based on the CRASH core model.

CONCLUSIONS

The 2-week mortality from severe TBI at a tertiary referral center in Tanzania was 67%, which was significantly higher than the predicted estimates. The higher mortality was related to gaps in the continuum of care of patients with severe TBI, including cardiorespiratory monitoring, resuscitation, neuroimaging, and surgical rates, along with lower rates of utilization of available medical therapies. In ongoing work, the authors are attempting to identify reasons associated with the gaps in care to implement programmatic improvements. Capacity building by twinning provides an avenue for acquiring data to accurately estimate local needs and direct programmatic education and interventions to reduce excess in-hospital mortality from TBI.

Secondary overtriage of isolated facial trauma

DESIGN

Retrospective chart review.

SETTING

Academic, tertiary care, level I trauma center in a rural state.

BACKGROUND

Unnecessary transfer of certain facial trauma patients results in a burden of time, money, and other resources on both the patient and healthcare system; identification and development of outpatient treatment pathways for these patients is a significant opportunity for cost savings.

OBJECTIVES

To investigate the treatment and disposition of un-complicated, stable, isolated facial trauma injuries transferred from outside hospitals and determine the significance of secondary overtriage.

METHODS

Retrospective chart review utilizing our institutional trauma database, including patients transferred to our emergency department between January 2012 and December 2017. Patients were identified by ICD9 or ICD10 codes and only those with isolated facial trauma were included.

RESULTS

We identified 538 isolated facial trauma patients who were transferred to our institution during the study period. The majority of those patients were transferred via ground ambulance for an average of 76 miles. Overall, 82% of patients (N = 440) were discharged directly from our institution's emergency department. Almost 30% of patients did not require any formal treatment for their injuries; the potential savings associated with elimination of these unnecessary transfers was estimated to be between $388,605 and $771,372.

CONCLUSIONS

We identified a high rate of patients with stable, isolated facial trauma that could potentially be evaluated and treated without emergent transfer. The minimization of these unnecessary transfers represents a significant opportunity for cost and resource utilization savings.

LEVEL OF EVIDENCE

2b- Economic and Cost Analysis.

Interfacility Transfers for Isolated Craniomaxillofacial Trauma: Perspectives of the Facial Trauma Surgeon

STUDY DESIGN

Secondary overtriage is a burden to the medical system. Unnecessary transfers overload trauma centers, occupy emergency transfer resources, and delay definitive patient care. Craniomaxillofacial (CMF) trauma, especially in isolation, is a frequent culprit.

OBJECTIVE

The aim of this study is to assess the perspectives of facial trauma surgeons regarding the interfacility transfer of patients with isolated CMF trauma.

METHODS

A 31-item survey was developed using Likert-type scale and open-ended response systems. Internal consistency testing among facial trauma surgeons yielded a Cronbach's α calculation of .75. The survey was distributed anonymously to the American Society of Maxillofacial Surgeons, the North American Division of AO Craniomaxillofacial, and the American Academy of Facial Plastic and Reconstructive Surgery. Statistical significance in response plurality was determined by nonoverlapping 99.9% confidence intervals (P < .001). Sum totals were reported as means with standard deviations and z scores with P values of less than .05 considered significant.

RESULTS

The survey yielded 196 responses. Seventy-seven percent of respondents did not believe that most isolated CMF transfers required emergency surgery and roughly half (49%) thought that most emergency transfers were unnecessary. Fifty-four percent of respondents agreed that most patients transferred could have been referred for outpatient management and 87% thought that transfer guidelines could help decrease unnecessary transfers. Twenty-seven percent of respondents had no pre-transfer communication with the referring facility. Perspectives on the transfer of specific fracture patterns and their presentations were also collected.

CONCLUSION

Most facial trauma surgeons in this study believe that emergent transfer for isolated CMF trauma is frequently unnecessary. Such injuries rarely require emergent surgery and can frequently be managed in the outpatient setting without activating emergency transfer services. The fracture-specific data collected are a representation of the national, multidisciplinary opinion of facial trauma surgeons and correlate with previously published data on which specific types of facial fractures are most often transferred unnecessarily. The results of this study can serve as the foundation for interfacility transfer guidelines, which may provide a valuable resource in triaging transfers and decreasing associated health-care costs.

Comparison of trauma scores and total prehospital time in the prediction of clinical course in a plane crash: Does timing matter?

OBJECTIVE

To investigate how the total prehospital time (TPT), Abbreviated Injury Scale (AIS), Injury Severity Score (ISS), and Trauma Score-Injury Severity Score (TRISS) affect the outcome of plane crash victims from anatomical, physiological and psychological perspectives. The accuracy or strength of these scores and TPT in predicting hospitalization and surgery, sequelae development and psychiatric complications [permanent temporary disability (PoTDs)] and PTSD can allow medical professionals to direct and prioritize management efforts of the victims of mass casualties in general.

METHODS

The study was designed as a single-center retrospective study. By examining the records of victims of a plane crash transferred to the ED, AIS, ISS, TRISS and TPT were calculated on admission. The clinical severity of the patients was determined by a joint decision of five clinicians. The performances of the trauma scores on hospitalization, surgery, PTSD and PoTDs were compared. The study data were analyzed via the Mann-Whitney U test and descriptive statistical methods. Pearson's chi-square test was used for the comparison of qualitative data, and ROC analyses were employed to determine cutoff levels.

RESULTS

The AIS, ISS, and TRISS scores of the victims with an indication for hospitalization, calculated on admission to the ED, were significantly higher than those of the other victims (p = 0.001). In addition, TPT, AIS, ISS, and TRISS scores were significantly higher in hospitalized patients than in outpatients (p < 0.05). The cutoff levels for AIS and ISS were ≥ 1.50 and ≥ 4.50, respectively, while they were ≥ 123.5 min for TPT with regard to hospitalization decisions. The AIS, ISS, and TRISS scores calculated on admission for the patients who underwent surgery were significantly higher than those who did not (p = 0.001). Cutoff levels for AIS and ISS were ≥ 2.50 and ≥ 11.50, respectively, while they were ≥ 135.5 min for TPT with respect to the decision to operate on the victims.

CONCLUSIONS

It is expected that everyone who practices medicine be equipped to handle multiple casualties. As the number of people involved in mass casualties increases, diagnostic tools, workups such as laboratory and radiological studies, and prognostic markers such as trauma scores should be simpler and more user-friendly.

Identifying trauma patients with benefit from direct transportation to Level-1 trauma centers

Background

Prehospital triage protocols typically try to select patients with Injury Severity Score (ISS) above 15 for direct transportation to a Level-1 trauma center. However, ISS does not necessarily discriminate between patients who benefit from immediate care at Level-1 trauma centers. The aim of this study was to assess which patients benefit from direct transportation to Level-1 trauma centers.

Methods

We used the American National Trauma Data Bank (NTDB), a retrospective observational cohort. All adult patients (ISS > 3) between 2015 and 2016 were included. Patients who were self-presenting or had isolated limb injury were excluded. We used logistic regression to assess the association of direct transportation to Level-1 trauma centers with in-hospital mortality adjusted for clinically relevant confounders. We used this model to define benefit as predicted probability of mortality associated with transportation to a non-Level-1 trauma center minus predicted probability associated with transportation to a Level-1 trauma center. We used a threshold of 1% as absolute benefit. Potential interaction terms with transportation to Level-1 trauma centers were included in a penalized logistic regression model to study which patients benefit.

Results

We included 388,845 trauma patients from 232 Level-1 centers and 429 Level-2/3 centers. A small beneficial effect was found for direct transportation to Level-1 trauma centers (adjusted Odds Ratio: 0.96, 95% Confidence Interval: 0.92–0.99) which disappeared when comparing Level-1 and 2 versus Level-3 trauma centers. In the risk approach, predicted benefit ranged between 0 and 1%. When allowing for interactions, 7% of the patients (n = 27,753) had more than 1% absolute benefit from direct transportation to Level-1 trauma centers. These patients had higher AIS Head and Thorax scores, lower GCS and lower SBP. A quarter of the patients with ISS > 15 were predicted to benefit from transportation to Level-1 centers (n = 26,522, 22%).

Conclusions

Benefit of transportation to a Level-1 trauma centers is quite heterogeneous across patients and the difference between Level-1 and Level-2 trauma centers is small. In particular, patients with head injury and signs of shock may benefit from care in a Level-1 trauma center. Future prehospital triage models should incorporate more complete risk profiles.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12873-021-00487-3.

Paediatric major trauma in the setting of the Irish trauma network

BACKGROUND

The construction of a new tertiary children's hospital and reconfiguration of its two satellite centres will become the Irish epicentre for all paediatric care including paediatric trauma. Ireland is also currently establishing a national trauma network although further planning of how to manage paediatric trauma in the context of this system is required. This research defines the unknown epidemiology of paediatric major trauma in Ireland to assist strategic planning of a future paediatric major trauma network.

METHODS

Data from 1068 paediatric trauma cases was extracted from a longitudinal series of annual cross-sectional studies collected by the Trauma Audit and Research Network (TARN). All paediatric patients between the ages of 0-16 suffering AIS ≥2 injuries in Ireland between 2014-2018 were included. Demographics, injury patterns, hospital care processes and outcomes were analysed.

RESULTS

Children were most commonly injured at home (45.1%) or in public places/roads (40.1%). The most frequent mechanisms of trauma were falls <2 m (36.8%) followed by RTAs (24.3%). Limb injuries followed by head injuries were the most often injured body parts. The proportion of head injuries in those aged <1 year is double that of any other age group. Only 21% of patients present directly to a children's hospital and 46% require transfer. Consultant-led emergency care is currently delivered to 41.5% of paediatric major trauma patients, there were 555 (48.2%) patients who required operative intervention and 22.8% who required critical care admission. A significant number of children in Ireland aged 1-5 years die from asphyxia/drowning. The overall mortality rate was 3.8% and was significantly associated with the presence of head injuries (p < 0.001).

CONCLUSION

Paediatric Trauma represents a significant childhood burden of mortality and morbidity in Ireland. There are currently several sub-optimal elements of paediatric trauma service delivery that will benefit from the establishment of a trauma network. This research will help guide prevention strategy, policy-making and workforce planning during the establishment of an Irish paediatric trauma network and will act as a benchmark for future comparison studies after the network is implemented.

Pre-hospital hypothermia is associated with transfusion risk after traumatic injury

OBJECTIVES

In traumatically injured patients, excessive blood loss necessitating the transfusion of red blood cell (RBC) units is common. Indicators of early RBC transfusion in the pre-hospital setting are needed. This study aims to evaluate the association between hypothermia (<36°C) and transfusion risk within the first 24 hours after arrival to hospital for a traumatic injury.

METHODS

We completed an audit of all traumatically injured patients who had emergent surgery at a single tertiary care center between 2010 and 2014. Using multivariable logistic regression analysis, we evaluated the association between pre-hospital hypothermia and transfusion of ≥1 unit of RBC within 24 hours of arrival to the trauma bay.

RESULTS

Of the 703 patients included to evaluate the association between hypothermia and RBC transfusion, 203 patients (29%) required a transfusion within 24 hours. After controlling for important confounding variables, including age, sex, coagulopathy (platelets and INR), hemoglobin, and vital signs (blood pressure and heart rate), hypothermia was associated with a 68% increased odds of transfusion in multivariable analysis (OR: 1.68; 95% CI: 1.11-2.56).

CONCLUSIONS

Hypothermia is strongly associated with RBC transfusion in a cohort of trauma patients requiring emergent surgery. This finding highlights the importance of early measures of temperature after traumatic injury and the need for intervention trials to determine if strategies to mitigate the risk of hypothermia will decrease the risk of transfusion and other morbidities.

The effectiveness of trauma care systems at different stages of development in reducing mortality: a systematic review and meta-analysis

BACKGROUND

Traumatic injury remains the leading cause of death, with more than five million deaths every year. Little is known about the comparative effectiveness in reducing mortality of trauma care systems at different stages of development. The objective of this study was to review the literature and examine differences in mortality associated with different stages of trauma system development.

METHOD

A systematic review of peer-reviewed population-based studies retrieved from MEDLINE, EMBASE, and CINAHL. Additional studies were identified from references of articles, through database searching, and author lists. Articles written in English and published between 2000 and 2020 were included. Selection of studies, data extraction, and quality assessment of the included studies were performed by two independent reviewers. The results were reported as odds ratio (OR) with 95 % confidence intervals (CI).

RESULTS

A total of 52 studies with a combined 1,106,431 traumatic injury patients were included for quantitative analysis. The overall mortality rate was 6.77% (n = 74,930). When patients were treated in a non-trauma centre compared to a trauma centre, the pooled statistical odds of mortality were reduced (OR 0.74 [95% CI 0.69-0.79]; p < 0.001). When patients were treated in a non-trauma system compared to a trauma system the odds of mortality rates increased (OR 1.17 [95% CI 1.10-1.24]; p < 0.001). When patients were treated in a post-implementation/initial system compared to a mature system, odds of mortality were significantly higher (OR 1.46 [95% CI 1.37-1.55]; p < 0.001).

CONCLUSION

The present study highlights that the survival of traumatic injured patients varies according to the stage of trauma system development in which the patient was treated. The analysis indicates a significant reduction in mortality following the introduction of the trauma system which is further enhanced as the system matures. These results provide evidence to support efforts to, firstly, implement trauma systems in countries currently without and, secondly, to enhance existing systems by investing in system development.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42019142842 .

Transport Time and Mortality in Critically Ill Patients with Severe Traumatic Brain Injury

PURPOSE

Severe traumatic brain injury (TBI) is a major cause of morbidity and mortality in critically ill patients. Pre-hospital care and transportation time may impact their outcomes.

METHODS

Using the British Columbia Trauma Registry, we included 2,860 adult (≥18 years) patients with severe TBI (abbreviated injury scale head score ≥4), who were admitted to an intensive care unit (ICU) in a centre with neurosurgical services from January 1, 2000 to March 31, 2013. We evaluated the impact of transportation time (time of injury to time of arrival at a neurosurgical trauma centre) on in-hospital mortality and discharge disposition, adjusting for age, sex, year of injury, injury severity score (ISS), revised trauma score at the scene, location of injury, socio-economic status and direct versus indirect transfer.

RESULTS

Patients had a median age of 43 years (interquartile range [IQR] 26-59) and 676 (23.6%) were female. They had a median ISS of 33 (IQR 26-43). Median transportation time was 80 minutes (IQR 40-315). ICU and hospital length of stay were 6 days (IQR 2-12) and 20 days (IQR 7-42), respectively. Six hundred and ninety-six (24.3%) patients died in hospital. After adjustment, there was no significant impact of transportation time on in-hospital mortality (odds ratio 0.98, 95% confidence interval 0.95-1.01). There was also no significant effect on discharge disposition.

CONCLUSIONS

No association was found between pre-hospital transportation time and in-hospital mortality in critically ill patients with severe TBI.

Effect of under triage on early mortality after major pediatric trauma: a registry-based propensity score matching analysis

Background

Little is known about the effect of under triage on early mortality in trauma in a pediatric population. Our objective is to describe the effect of under triage on 24-h mortality after major pediatric trauma in a regional trauma system.

Methods

This cohort study was conducted from January 2009 to December 2017. Data were obtained from the registry of the Northern French Alps Trauma System. The network guidelines triage pediatric trauma patients according to an algorithm shared with adult patients. Under triage was defined by the number of pediatric trauma patients that required specialized trauma care transported to a non-level I pediatric trauma center on the total number of injured patients with critical resource use. The effect of under triage on 24-h mortality was assessed with inverse probability treatment weighting (IPTW) and a propensity score (Ps) matching analysis.

Results

A total of 1143 pediatric patients were included (mean [SD], age 10 [5] years), mainly after a blunt trauma (1130 [99%]). Of the children, 402 (35%) had an ISS higher than 15 and 547 (48%) required specialized trauma care. Nineteen (1.7%) patients died within 24 h. Under triage rate was 33% based on the need of specialized trauma care. Under triage of children requiring specialized trauma care increased the risk of death in IPTW (risk difference 6.0 [95% CI 1.3–10.7]) and Ps matching analyses (risk difference 3.1 [95% CI 0.8–5.4]).

Conclusions

In a regional inclusive trauma system, under triage increased the risk of early death after pediatric major trauma.

Out-of-hospital Respiratory Measures to Identify Patients With Serious Injury: A Systematic Review

OBJECTIVES

The objective was to systematically review the published literature on the diagnostic accuracy of out-of-hospital respiratory measures for identifying patients with serious injury, focusing on measures feasible for field triage by emergency medical services personnel.

METHODS

We searched Ovid MEDLINE, CINAHL, and the Cochrane databases from January 1, 1996, through August 31, 2017. We included studies on the diagnostic accuracy (sensitivity, specificity, and area under the receiver operating characteristic curve [AUROC]) for all respiratory measures used to identify patients with serious injury (resource use, serious anatomic injury, and mortality). We assessed studies for risk of bias and strength of evidence (SOE). We performed meta-analysis for measures with sufficient data.

RESULTS

We identified 46 articles reporting results of 44 studies. Out-of-hospital respiratory measures included respiratory rate, pulse oximetry, and airway support. Meta-analysis was only possible for respiratory rate, which demonstrated a pooled sensitivity for serious injury of 13% (95% confidence interval [CI] = 5 to 29, I2  = 97.8%), specificity of 96% (95% CI = 83 to 99, I2  = 99.6%), and AUROC of 0.70 (95% CI = 0.66 to 0.79, I2  = 16.6%). For oxygen saturation, sensitivity ranged from 13% to 63%; specificity, 85% to 99%; and AUROC, 0.53 to 0.76. Need for airway support had a sensitivity of 8% to 53% and specificity of 61% to 100%; studies did not report AUROC. Across respiratory measures, the SOE was low. Other respiratory measures (pH, end-tidal carbon dioxide [CO2 ], and sublingual partial pressure of CO2 ) were reported only in emergency department studies.

CONCLUSIONS

Data on the accuracy of out-of-hospital respiratory measures for field triage are limited and of low quality. Based on available research, respiratory rate, oxygen saturation, and need for airway intervention all have low sensitivity, high specificity, and poor to fair discrimination for identifying seriously injured patients.

The "Golden Hour" and field triage pattern for road trauma patients

INTRODUCTION

Although the term "golden hour" is a well-known concept among trauma system and emergency medical service providers, the relationship between time and trauma patient outcome and the process of prehospital care for road trauma patients in rural settings are poorly understood. As the underlying basis for triage decision-making, the estimated transport interval to trauma center is usually absent in the existing studies.

METHOD

In this study, the crash data between 2013 and 2017 were obtained from the Fatality Analysis Reporting System, and the estimated intervals were calculated by using a Geographic Information System software. By comparing the estimated intervals with actual emergency medical services records, the field triage patterns for road patients were investigated at the state and county levels.

RESULTS AND CONCLUSIONS

With the help of the interval prediction maps, the different triage patterns among counties were identified. Further, the average fatalities per 100,000 population by county from the National Highway Traffic Safety Administration were adopted to clarify the associated outcomes. The linear regression analysis results revealed that, for most states, all intervals except the notification interval had a significant correlation with the mortality. The estimated interval had a more significant relationship with the mortality than the actual transport interval. Practical applications: These findings indicated that adhering to the "golden hour" without regarding the destination may not be helpful for the survival of road trauma patients. The regression analyses and the interval maps can be used to identify patterns of inappropriate destination selection so that prospective decision-making can be improved.

Impact of early ICU admission on outcome of critically ill and critically ill cancer patients: A systematic review and meta-analysis

OBJECTIVE

Prognostic impact of early ICU admission remains controversial. The aim of this review was to investigate the impact of early ICU admission in the general ICU population and in critically ill cancer patients and to report level of evidences of this later.

METHODS

Systematic review and meta-analysis performed on articles published between 1970 and 2017. Two authors extracted data. Influence of early ICU admission on mortality is reported as Risk Ratio (95%CI) using both fixed and random-effects model.

DATA SYNTHESIS

For general ICU population, 31 studies reporting on 73,213 patients were included (including 66,797 patients with early ICU admission) and for critically ill cancer patients 14 studies reporting on 2414 patients (including 1272 with early ICU admission) were included. Early ICU admission was associated with decreased mortality using a random effect model (RR 0.65; 95% confidence interval 0.58-0.73; I² = 66%) in overall ICU population as in critically ill cancer patients (RR 0.69; 95% confidence interval 0.52-0.90; I² = 85%). To explore heterogeneity, a meta-regression was performed. Characteristics of the trials (prospective vs. retrospective, monocenter vs. multicenter) had no impact on findings. Publication after 2010 (median publication period) was associated with a lower effect of early ICU admission (estimate 0.37; 95%CI 0.14-0.60; P = 0.002) in the general ICU population. A significant publication bias was observed.

CONCLUSION

Theses results suggest that early ICU admission is associated with decreased mortality in the general ICU population and in CICP. These results were however obtained from high risk of bias studies and a high heterogeneity was noted. Systematic review registration: PROSPERO 2018 CRD42018094828.

Time to definitive care within major trauma networks in England

BACKGROUND

Significant mortality improvements have been reported following the implementation of English trauma networks. Timely transfer of seriously injured patients to definitive care is a key indicator of trauma network performance. This study evaluated timelines from emergency service (EMS) activation to definitive care between 2013 and 2016.

METHODS

An observational study was conducted on data collected from the UK national clinical audit of major trauma care of patients with an Injury Severity Score above 15. Outcomes included time from EMS activation to: arrival at a trauma unit (TU) or major trauma centre (MTC); to CT; to urgent surgery; and to death.

RESULTS

Secondary transfer was associated with increased time to urgent surgery (median 7·23 (i.q.r. 5·48-9·28) h versus 4·37 (3·00-6·57) h for direct transfer to MTC; P < 0·001) and an increased crude mortality rate (19·6 (95 per cent c.i. 16·9 to 22·3) versus 15·7 (14·7 to 16·7) per cent respectively). CT and urgent surgery were performed more quickly in MTCs than in TUs (2·00 (i.q.r. 1·55-2·73) versus 3·15 (2·17-4·63) h and 4·37 (3·00-6·57) versus 5·37 (3·50-7·65) h respectively; P < 0·001). Transfer time and time to CT increased between 2013 and 2016 (P < 0·001). Transfer time, time to CT, and time to urgent surgery varied significantly between regional networks (P < 0·001).

CONCLUSION

Secondary transfer was associated with significantly delayed imaging, delayed surgery, and increased mortality. Key interventions were performed more quickly in MTCs than in TUs.

High acuity polytrauma centers in orthopaedic trauma: Decreasing patient mortality with effective resource utilization

BACKGROUND

There is a select number of massive-volume, high-acuity trauma centers (HACs) in the United States. Expertise in polytrauma care has been associated with improved mortality in general surgery trauma, though has not been investigated in orthopaedic trauma. With complex polytrauma proficiency comes the inherent risk of intensive care, complications, and prolonged inpatient stays, without a commensurate increase in allocated resources. The purpose of this study was to compare mortality, complications, and length of stay in polytraumatized orthopaedic patients treated at HACs vs. low-acuity trauma centers (LACs).

METHODS

The National Trauma Data Bank was queried for orthopaedic injuries with injury severity score (ISS)>15 and mortality, complications, hospital length of stay, ICU length of stay, ventilation duration, and demographics. Hospitals where at least 13% (median percentage of patients with ISS > 15 admitted to all hospitals) of total admissions had an ISS>15 were classified as HAC; all others were LACs.

RESULTS

HACs admitted 86.8% of 28,314 patients with ISS>15. On univariate analysis, patients at HACs have 16% decreased odds of in-hospital mortality vs. LACs (p=0.005); the effect increased to 27% (p=0.002) on multivariate analysis. Patients at HACs have 63% greater odds of ICU admission (p<0.001), 48% higher odds of ventilatory support (p=<0.001), 38% increased odds of unplanned reoperation (p=0.007), and 37% increased odds of medical complications (p<0.001). On multivariate analysis, secondary outcome measures showed no significant difference between HACs and LACs. Patients at HACs had 2.8 days longer length-of-stay (p<0.001).

CONCLUSION

Severely injured orthopaedic trauma patients have decreased mortality at HACs, despite having a higher average ISS and a higher prevalence of obesity and active smoking. While there is a higher incidence of ICU admission, mechanical ventilation, complications, and unplanned reoperation on univariate analysis, correction for ISS and patient factors enhances the effect of HACs on mortality, but removes the effect on secondary measures. Thus, HACs are life-saving institutions for polytraumatized orthopaedic patients, and the known resource demand of these hospitals is supported by their favorable outcome profile.

LEVEL OF EVIDENCE

IV.

The Effect of a Multidisciplinary Trauma Team Leader Paradigm at a Tertiary Trauma Center: 10-Year Experience

Background

To illustrate the impact of the implementation of a multidisciplinary TTL program in 2005 on the mortality of trauma patients in a level 1 trauma center as well as admission rates and length of stay.

Methods

Retrospective observational study of all trauma patients included in the provincial trauma database at the Montreal General Hospital between 1998 and 2015. The primary outcome studied was in-hospital mortality. The secondary outcomes studied were hospital and intensive care unit (ICU) rates of admission and hospital and ICU length of stay.

Results

24,107 patients were included. We observed a statistically significant reduction in mortality of 1.25% or a relative reduction of 16% (p value = 0.0058; rate ratio 0.844 (95% CI 0.747-0.952)). ICU admissions were also significantly reduced where we observed a statistically significant absolute reduction of 4.46% or a relative reduction of 14% (p value = 8.38 × 10^-7; rate ratio 0.859 (95% CI 0.808-0.912)). The ICU length of stay was increased by 0.91 days or 19.03% (p value = 0.016 (95% CI 0.167-1.655)). There was no observed change in overall length of stay (13.97 days pre-TTL and 12.91 post-TTL (p value = 0.13; estimate -1.053 (95% CI -2.424-0.318))).

Conclusions

This article suggests that multidisciplinary TTL model may be beneficial in the care of trauma patients. Further subgroup analysis may help determine which patients could benefit more.

Suspicion of abdominal injuries in high-energy trauma patients: which clinical factors influence decision making for diagnostic imaging?

Background: The choice of diagnostic imaging for high-energy trauma (HET) patients is highly debated. Currently, different diagnostic imaging is used in trauma centres to identify abdominal injuries. However, it remains unclear when physicians have a suspicion for abdominal injuries, and when diagnostic imaging is performed. Over-triage may lead to unnecessary diagnostics in relatively minor injured HET-patients.Purpose: We investigated which clinical factors influence the decision to perform a focused assessment with sonography in trauma (FAST) or abdominal computed tomography (CT) in HET-patients. Additionally, we investigated which clinical factors determined whether HET-patients were admitted to the hospital or discharged from the emergency department.Methods: We performed a retrospective data analysis of all HET-patients in a single level II trauma centre in the Netherlands, between June 2015 and January 2017.Results: 316 HET-patients were included in this study. We found two clinical factors that proved to significantly predict whether a FAST or abdominal CT was performed: abdominal pain and the degree of concomitant injury. Furthermore, we found that the degree of concomitant injury as well as low haemoglobin levels proved to significantly predict whether a patient was admitted to the hospital for observation.Conclusion: This study clarifies on which clinical factors the decision is taken to perform diagnostic imaging to identify abdominal injuries. Future prospective multicentre studies should clarify whether these clinical factors are trustworthy predictors of abdominal injuries, and whether patients can safely be discharged after trauma work-up.