Mature Trauma System Research Articles

Epidemiology of postinjury multiple organ failure: a prospective multicenter observational study.

Postinjury multiple organ failure (MOF) is the sequela to the disease of polytrauma. We aimed to describe the contemporary population-based epidemiology of MOF within a mature trauma system, to analyse the time taken for MOF to develop, and to evaluate the temporal patterns and contributions of the individual constituent organ failures. Prospective observational study conducted across five Level-1 trauma centers in New South Wales, Australia. Trauma patients at-risk of MOF (Denver > 3 from 48h post-admission), aged > 16 years, ISS > 15, and who stayed in ICU for ≥ 48h were eligible for inclusion. From May 2018-February 2021, 600 at-risk polytrauma patients were prospectively enrolled (mean(SD)age = 49(21)years, males = 453/600(76%),median(IQR)ISS = 26(20,34)). MOF incidence was 136/600(23%) among at-risk patients, 142/6248(2%) among major trauma patients (ISS > 12 per Australian definition), and 0.8/100,000 in the general population. The mortality rate was 55/600(11%) in the overall study population, and 34/136(25%) in MOF patients. 82/136(60%) of MOF patients developed MOF on day-3. No patients developed MOF after day-13. Among MOF patients, 60/136(44%) had cardiac failures (mortality = 37%), 39/136(29%) had respiratory failures (mortality = 23%), 24/136(18%) had renal failures (mortality = 63%), and 12/136(9%) had hepatic failures (mortality = 50%). Although a rare syndrome in the general population, MOF occurred in 23% of the most severely injured polytrauma patients. When compared to previous risk-matched cohorts, MOF become more common, but not more lethal, despite a decade older cohort. The heart has superseded the lungs as the most common organ to fail. Cardiac and respiratory failures occurred earlier and were associated with lower mortality than renal and hepatic failures.

Unsupervised clustering analysis of trauma/non-trauma centers using hospital features including surgical care.

Injuries are a leading cause of death in the United States. Trauma systems aim to ensure all injured patients receive appropriate care. Hospitals that participate in a trauma system, trauma centers (TCs), are designated with different levels according to guidelines that dictate access to medical and research resources but not specific surgical care. This study aimed to identify patterns of injury care that distinguish different TCs and hospitals without trauma designation, non-trauma centers (non-TCs). We extracted hospital-level features from the state inpatient hospital discharge data in Washington state, including all TCs and non-TCs, in 2016. We provided summary statistics and tested the differences of each feature across the TC/non-TC levels. We then conducted 3 sets of unsupervised clustering analyses using the Partition Around Medoids method to determine which hospitals had similar features. Set 1 and 2 included hospital surgical care (volume or distribution) features and other features (e.g., the average age of patients, payer mix, etc.). Set 3 explored surgical care without additional features. The clusters only partially aligned with the TC designations. Set 1 found the volume and variation of surgical care distinguished the hospitals, while in Set 2 orthopedic procedures and other features such as age, social vulnerability indices, and payer types drove the clusters. Set 3 results showed that procedure volume rather than the relative proportions of procedures aligned more, though not completely, with TC designation. Unsupervised machine learning identified surgical care delivery patterns that explained variation beyond level designation. This research provides insights into how systems leaders could optimize the level allocation for TCs/non-TCs in a mature trauma system by better understanding the distribution of care in the system.

Identification of major hemorrhage in trauma patients in the prehospital setting: diagnostic accuracy and impact on outcome

BackgroundHemorrhage is the most common cause of potentially preventable death after injury. Early identification of patients with major hemorrhage (MH) is important as treatments are time-critical. However, diagnosis can be...

Independent factors of preventable death in a mature trauma center: a propensity-score analysis.

The rate of potentially preventable deaths (PPD) and preventable deaths (PD) can reach more than 20% of overall trauma mortality. Bleeding is the leading cause of preventable mortality. The aim of our study is to define the independent factors of preventable or potentially preventable mortality in our mature trauma system. We conducted a single-center retrospective study in the Sainte Anne Military Teaching Hospital, Toulon, France, including all severe trauma patients admitted to our trauma center and discharged alive as well as all severe trauma patients who died with a death considered preventable or potentially preventable from January 2013 to December 2020. We matched the two groups using a propensity score and searched for independent factors using a generalized linear model. 846 patients were included and analyzed. After matching, our cohort consisted of 245 patients in the survivor group and 49 patients in the preventable deaths group. Pre-hospital delays (73min vs 54min P = 0.003) as well as delays before incision in the operating room (80min vs 52min P < 0.001) were significantly longer in the PD group. These delays were independent factors of preventable mortality OR 10.35 (95% CI [3.44-31.11] P < 0.001) and OR 37.53 (95% CI [8.51-165.46] P < 0.001) as well as pelvic trauma OR 6.20 (95% CI [1.53-25.20] P = 0.011). Delays in pre-hospital care, delays in access to the operating room from arrival at the trauma center, and pelvic injuries are independent factors associated with an increased risk of preventable mortality in trauma.

Initial Heart Rate Predicts Functional Independence in Patients With Spinal Cord Injury Requiring Surgery: A Registry-Based Study in a Mature Trauma System Over the Past 10Years.

Retrospective Cohort Study. To determine the ability of early vital sign abnormalities to predict functional independence in patients with SCI that required surgery. A retrospective analysis of data extracted from the Pennsylvania Trauma Outcome Study database. Inclusion criteria were patients >18years with a diagnosis of SCI who required urgent spine surgery in Pennsylvania from 1/1/2010-12/31/2020 and had complete records available. A total of 644 patients met the inclusion criteria. The mean age was 47.1 ± 14.9years old and the mean injury severity score (ISS) was 22.3 ± 12.7 with the SCI occurring in the cervical, thoracic, and lumbar spine in 61.8%, 19.6% and 18.0%, respectively. Multivariable logistic regression analyses for predictors of functional independence at discharge showed that higher HR at the scene (OR 1.016, 95% CI 1.006-1.027, P = .002) and lower ISS score (OR .894, 95% CI .870-.920, P < .001) were significant predictors of functional independence. Similarly, higher admission HR (OR 1.015, 95% CI 1.004-1.027, P = .008) and lower ISS score (OR .880, 95% CI 0.864-.914, P < .001) were significant predictors of functional independence. Peak Youden indices showed that patients with HR at scene >70 and admission HR ≥83 were more likely to achieve functional independence. Early heart rate is a strong predictor of functional independence in patients with SCI. HR at scene >70 and admission HR ≥83 is associated with improved outcomes, suggesting lack of neurogenic shock.

Surgical stabilization of critical abdominal injuries in a mature rural trauma system: A retrospective study.

Worse outcomes following injuries are more likely in rural versus urban areas. In 2001, our state established an inclusive trauma system to improve mortality. In 2015, the trauma system had a consultation visit from the American College of Surgeons' Committee on Trauma, who made several recommendations. We hypothesized that continued maturation of this system would lead to more laparotomies prior to transfer to a higher level of care and better outcomes. Our trauma registry was queried to identify all patients transferred between January 1, 2010, and December 31, 2020, who underwent laparotomy either before transfer or within 4 hours of arrival. The preconsultation (2010-2015) and postconsultation periods (2016-2020) were compared. Categorical and continuous variables were compared using χ2 and Mann-Whitney U tests, respectively. We included 213 patients; 63 had laparotomy before transfer and 150 within 4 hours after transfer. Age, injury severity scores, systolic blood pressure, and mechanism of injury were not different between periods. Proportions of laparotomy before and after transfer and outcomes (mortality, hospital length of stay, intensive care unit length of stay, ventilator days) were also similar (p = 0.368 for laparotomy, p = 0.840, 0.124, 0.286, 0.822 for outcomes). Compared with the preconsultation period, the proportion of laparotomy performed before transfer for severe injuries (abdominal Abbreviated Injury Scale score >3) significantly increased postconsultation (57.1% vs. 30.6%, p = 0.011). Incidence of damage-control laparotomies (43.9% vs. 23.6%; p = 0.020) and transfusion of plasma and platelets (33.6% vs. 13.2%; p < 0.001, 22.4% vs. 8.5%, p = 0.007, respectively) significantly increased. Identification and surgical stabilization of critical patients at the non-Level I facilities prior to transfer, as well as blood product use and damage-control techniques, improved postconsultation, suggesting a shift in the approaches to surgical stabilization and resuscitation efforts in our trauma system. Therapeutic/Care Management; Level IV.

Outcomes in traumatic cardiac arrest patients who underwent advanced life support.

Survival following a traumatic cardiac arrest (TCA) remains poor despite research focused on specific management and guideline adaptation. Previous research has identified factors including age, arresting rhythm, injury severity and distance from hospital to be associated with prehospital TCA outcomes. The present study aimed to review the local incidence of TCA to inform local practice within a mature trauma system. A retrospective trauma database review from 2008 to 2021 was conducted at the Royal Brisbane and Women's Hospital. Patients were categorised by prehospital and in-hospital arrest, prehospital return of spontaneous circulation (ROSC), and year in relation to TCA management protocol changes. Descriptive comparative analysis was performed with the primary outcome of interest being survival to hospital discharge. Survival to hospital discharge was similar in patients in whom TCA occurred in the prehospital environment and hospital (24 vs 29%). Mechanism of injury, response to intervention and location of cardiac arrest were important outcome associations. Patients with a positive focused assessment with sonography in trauma scan were less likely to achieve ROSC but more likely to survive to discharge. The frequency of prehospital interventions remained similar after the guideline changes; with more patients arriving to the hospital with improved haemodynamic parameters and increased survival. These results support the identification and immediate management of TCA. No patients survived if they did not achieve ROSC by hospital arrival, questioning the role for aggressive management beyond the ED in this cohort. Future research will focus on the identification of patients with potentially positive survival outcomes and further define futile intervention factors.

Multi-disciplinary, simulation-based, standardised trauma team training within the Victorian State Trauma System.

Inconsistency in the structure and function of team-based major trauma reception and resuscitation is common. A standardised trauma team training programme was initiated to improve quality and consistency among trauma teams across a large, mature trauma system. The aim of this manuscript is to outline the programme and report on the initial perception of participants. The Alfred Trauma Team Reception and Resuscitation Training (TTRRT) programme commenced in March 2019. Participants included critical care and surgical craft group members commonly involved in trauma teams. Training was site-specific and included rural, urban and tertiary referral centres. The programme consisted of prescribed pre-learning, didactic lectures, skill stations and simulated team-based scenarios. Participant perceptions of the programme were collected before and after the programme for analysis. The TTRRT was delivered to 252 participants and 120 responses were received. Significant improvement in participant-reported confidence was identified across all key topic areas. There was also a significant increase in both confidence and clinical exposure to trauma team leadership roles after participation in the programme (from 53 [44.2%] to 74 [61.7%; P=0.007]). This finding was independent of clinician experience. A team-based trauma reception and resuscitation education programme, introduced in a large, mature trauma system led to positive participant-reported outcomes in clinical confidence and real-life team leadership participation. Wider implementation combined with longitudinal data collection will facilitate correlation with patient and staff-centred outcomes.

Close to zero preventable in-hospital deaths in pediatric trauma patients – An observational study from a major Scandinavian trauma center

BackgroundIn line with international trends, initial treatment of trauma patients has changed substantially over the last two decades. Although trauma is the leading cause of death and disability in children globally, in-hospital pediatric trauma related mortality is expected to be low in a mature trauma system. To evaluate the performance of a major Scandinavian trauma center we assessed treatment strategies and outcomes in all pediatric trauma patients over a 16-year period. MethodsA retrospective cohort study of all trauma patients under the age of 18 years admitted to a single institution from 1st of January 2003 to 31st of December 2018. Outcomes for two time periods were compared, 2003–2009 (Period 1; P1) and 2010–2018 (Period 2; P2). Deaths were further analyzed for preventability by the institutional trauma Mortality and Morbidity panel. ResultsThe study cohort consisted of 3939 patients. A total of 57 patients died resulting in a crude mortality of 1.4%, nearly one quarter of the study cohort (22.6%) was severely injured (Injury Severity Score > 15) and mortality in this group decreased from 9.7% in P1 to 4.1% in P2 (p<0.001). The main cause of death was brain injury in both periods, and 55 of 57 deaths were deemed non-preventable. The rate of emergency surgical procedures performed in the emergency department (ED) decreased during the study period. None of the 11 ED thoracotomies in non-survivors were performed after 2013. ConclusionA dedicated multidisciplinary trauma service with ongoing quality improvement efforts secured a low in-hospital mortality among severely injured children and a decrease in futile care. Deaths were shown to be almost exclusively non-preventable, pointing to the necessity of prioritizing prevention strategies to further decrease pediatric trauma related mortality.

Coming in hot: Police transport and prehospital time after firearm injury.

In Philadelphia, PA, police and emergency medical services (EMS) transport patients with firearm injuries. Prior studies evaluating this system have lacked reliable prehospital times. By linking police and hospital data sets, we established a complete timeline from firearm injury to outcome. We hypothesized that police-transported patients have shorter prehospital times that, in turn, are associated with improved survival and increased unexpected survivorship at 6 and 24 hours. This retrospective study linked patient-level data from OpenDataPhilly Shooting Victims and the Pennsylvania Trauma Systems Foundation. All adults transported to a Level I or II trauma center after firearm injury in Philadelphia from 2015 to 2018 were included. Patient-level characteristics were compared between cohorts; unexpected survivors were identified using Trauma Score-Injury Severity Score. Multiple regression estimated risk-adjusted associations between transport method, prehospital time, and outcomes. Police-transported patients (n = 977) had significantly shorter prehospital times than EMS-transported patients (n = 320) (median, 9 minutes [interquartile range, 7-12 minutes] vs. 21 minutes [interquartile range, 16-29 minutes], respectively; p < 0.001). Police-transported patients were more often severely injured than those transported by EMS (60% vs. 50%, p = 0.002). After adjusting for confounders, police-transported patients had improved survival relative to EMS on hospital arrival (87% vs. 84%, respectively, p = 0.035), but not at 6 hours (79% vs. 78%, respectively, p = 0.126) or 24 hours after arrival (76% vs. 76%, respectively, p = 0.224). Compared with EMS, police-transported patients were significantly more likely to be unexpected survivors at 6 hours (6% vs. 2%, respectively, p < 0.001) and 24 hours (3% vs. 1%, respectively, p = 0.021). Police-transported patients had more severe injuries, shorter prehospital times, and increased likelihood of unexpected survival compared with EMS-transported patients. After controlling for confounders, patient physiology and injury severity represent meaningful determinants of mortality in our mature trauma system, indicating an ongoing opportunity to optimize in-hospital care. Future studies should investigate causes of death among unexpected early survivors to mitigate preventable mortality. Prognostic/Epidemiological, Level III.

The Homeless Population: Medical Refugees in a Mature Trauma System.

On any given day, there are >550,000 homeless persons in the United States. Little research has examined the relationship between the homeless population and traumatic injuries. We hypothesized that homeless trauma patients have a higher mortality compared to those who are not homeless. The Pennsylvania Trauma Outcome Study database was retrospectively queried from 2003-2018 for all adult (age ≥15) patients admitted to trauma centers in Pennsylvania. Homelessness was defined as homeless on admission or homeless as their discharge status. Patient demographics, comorbidities, and clinical variables were compared between homeless and non-homeless patients. Logistic regression was used to control for age, gender, injury severity, injury type, admission Glasgow Coma Scale, and systolic blood pressure to assess morbidity and mortality. 773 patients were identified upon query. Homeless trauma patients were more likely to be male, younger, black, and of Hispanic ethnicity. Compared to non-homeless, they were more likely to have a positive drug screen or mental illness at the time of injury. They were not more significantly injured than their counterparts; however, in adjusted analysis, the homeless had significantly higher odds of both complications (Adjusted Odds Ratio [AOR]: 3.11; 95%CI: 2.64-3.66, P < .001) and mortality (AOR: 1.79; 95%CI: 1.29-2.50, P = .001). Although homeless patients were not more severely injured than the general trauma population, they had significantly higher odds of both complications and mortality. This population represents a very vulnerable community in need of medical intervention and injury prevention programs.

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

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

Operative trauma volume is not related to risk-adjusted mortality rates among Pennsylvania trauma centers.

Higher center-level operative volume is associated with lower mortality after complex elective surgeries, but this relationship has not been robustly demonstrated for operative trauma. We hypothesized that trauma centers in Pennsylvania with higher operative trauma volumes would have lower risk-adjusted mortality rates than lower volume institutions. We queried the Pennsylvania Trauma Outcomes Study database (2017-2019) for injured patients 18 years or older at Level I and II trauma centers who underwent an International Classification of Diseases, Tenth Revision (ICD-10), procedure code -defined operative procedure within 6 hours of admission. The primary exposure was tertile of center-level operative volume. The primary outcome of interest was inpatient mortality. We entered factors associated with mortality in univariate analysis (age, injury severity, mechanism, physiology) into multivariable logistic regression models with tertiles of volume accounting for center-level clustering. We conducted secondary analyses varying the form of the association between the volume and mortality to including dichotomous and fractional polynomial models. We identified 3,650 patients at 29 centers meeting the inclusion criteria. Overall mortality was 15.9% (center-level range, 6.7-34.2%). Operative procedure types were cardiopulmonary (7.3%), vascular (20.1%), abdominopelvic (24.3%), and multiple (48.3%). The mean annual operative volume over the 3 years of data was 10 to 21 operations for low-volume centers, 22 to 47 for medium-volume centers, and 47 to 158 for high-volume centers. After controlling for patient demographics, physiology, and injury characteristics, there was no significant difference in mortality between highest and lowest tertile centers (odds ratio, 0.92; confidence interval, 0.57-1.49). Secondary analyses similarly demonstrated no relationship between center operative volume and mortality in key procedure subgroups. In a mature trauma system, we found no association between center-level operative volume and mortality for patients who required early operative intervention for trauma. Efforts to standardize the care of seriously injured patients in Pennsylvania may ensure that even lower-volume centers are prepared to generate satisfactory outcomes. Prognostic and Epidemiological; Level III.

The impact of prehospital tranexamic acid on mortality and transfusion requirements: match-pair analysis from the nationwide German TraumaRegister DGU\xae

BackgroundOutcome data about the use of tranexamic acid (TXA) in civilian patients in mature trauma systems are scarce. The aim of this study was to determine how severely injured patients are affected by the widespread prehospital use of TXA in Germany.MethodsThe international TraumaRegister DGU® was retrospectively analyzed for severely injured patients with risk of bleeding (2015 until 2019) treated with at least one dose of TXA in the prehospital phase (TXA group). These were matched with patients who had not received prehospital TXA (control group), applying propensity score-based matching. Adult patients (≥ 16) admitted to a trauma center in Germany with an Injury Severity Score (ISS) ≥ 9 points were included.ResultsThe matching yielded two comparable cohorts (n = 2275 in each group), and the mean ISS was 32.4 ± 14.7 in TXA group vs. 32.0 ± 14.5 in control group (p = 0.378). Around a third in both groups received one dose of TXA after hospital admission. TXA patients were significantly more transfused (p = 0.022), but needed significantly less packed red blood cells (p ≤ 0.001) and fresh frozen plasma (p = 0.023), when transfused. Massive transfusion rate was significantly lower in the TXA group (5.5% versus 7.2%, p = 0.015). Mortality was similar except for early mortality after 6 h (p = 0.004) and 12 h (p = 0.045). Among non-survivors hemorrhage as leading cause of death was less in the TXA group (3.0% vs. 4.3%, p = 0.021). Thromboembolic events were not significantly different between both groups (TXA 6.1%, control 4.9%, p = 0.080).ConclusionThis is the largest civilian study in which the effect of prehospital TXA use in a mature trauma system has been examined. TXA use in severely injured patients was associated with a significantly lower risk of massive transfusion and lower mortality in the early in-hospital treatment period. Due to repetitive administration, a dose-dependent effect of TXA must be discussed.

A comprehensive analysis of undertriage in a mature trauma system using geospatial mapping.

The correct triage of trauma patients to trauma centers (TCs) is essential. We sought to determine the percentage of patients who were undertriaged within the Pennsylvania (PA) trauma system and spatially analyze areas of undertriage (UTR) in PA for all age groups: pediatric, adult, and geriatric. We hypothesized that there would be certain areas that had high UTR for all age groups. From 2003 to 2015, all admissions from the Pennsylvania Trauma Systems Foundation registry and those meeting trauma criteria (International Classification of Diseases, Ninth Diseases: 800-959) from the Pennsylvania Health Care Cost Containment Council (PHC4) database were included. Admissions were divided into age groups: pediatric (<15 years), adult (15-64 years), and geriatric (≥65 years). All pediatric trauma cases were included from the Pennsylvania Trauma Systems Foundation and PHC4 registry, while only cases with Injury Severity Score of >9 were included in adult and geriatric age groups. Undertriage was defined as patients not admitted to level I/II adult TCs (n = 24), pediatric (n = 3), or adult and pediatric combined facility (n = 3) divided by the total number of patients from the PHC4 database. ArcGIS Desktop (version 10.7; ESRI, Redlands, CA) and GeoDa (version 1.14.0; CSDS, Chicago, IL) open source license were used for geospatial mapping of UTR with a spatial empirical Bayesian smoothed UTR by zip code tabulation area (ZCTA) and Stata (version 16.1; Stata Corp., College Station, TX) for statistical analyses. There were significant percentages of UTR for all age groups. One area of high UTR for all age groups had TCs and large nontrauma centers in close proximity. There were high rates of UTR for all ages in rural areas, specifically in the upper central regions of PA, with limited access to TCs. It appears there are two patterns leading to UTR. The first is in areas where TCs are in close proximity to large competing nontrauma centers, which may lead to inappropriate triage. The second has to do with lack of access to TCs. Geospatial mapping is a valuable tool that can be used to ascertain where trauma systems should focus scarce resources to decrease UTR. Epidemiological, level III; Care management, level III.

Location of trauma care resources with inter-facility patient transfers

Traumatic injury is the third leading cause of death in the United States and is the leading cause of death among people aged 1–44. Regional trauma care systems can significantly reduce this mortality rate if resources are located and used appropriately. Trauma centers are categorized as able to either provide total care (Level I or II) or prompt care (Level III and IV). We study trauma system planning by introducing an integer programming model to optimally relocate existing air ambulances, locate new air ambulances, and upgrade Level III and IV trauma centers to Level I or II trauma centers within a mature trauma system. The goal of these models to improve timely access to care and ensure the appropriate level of care is provided to severely injured patients. A novel aspect of the modeling approach is the inclusion of patient transfers from Level III/IV trauma centers to Level I/II trauma centers. Patient transfers are of particular importance after mass casualty events when a surge of trauma patients can overwhelm local trauma center capacity. As a result, we introduce a mass casualty incident response stochastic programming model to optimally relocate air ambulances within the trauma system following a mass casualty incident but before patient demand is known with certainty. The two models inform planning decisions by considering the interrelated response decisions. We construct case studies for both models based on the Wisconsin, USA trauma care system. The results highlight the importance of relocating air ambulances for increasing the number of patients transported directly to a Level I/II trauma center. The results also indicate that considering patient transfers within the model can significantly alter the optimal locations of trauma care resources compared to when transfers are not considered.

A comparison of adolescent penetrating trauma patients managed at pediatric versus adult trauma centers in a mature trauma system

A comparison of adolescent penetrating trauma patients managed at pediatric versus adult trauma centers in a mature trauma system

Changes in error patterns in unanticipated trauma deaths during 20 years: In pursuit of zero preventable deaths.

A fundamental goal of continuous process improvement programs is to evaluate and improve the ratio of actual to expected mortality. To study this, we examined contributors to error-associated deaths during two consecutive periods from 1996 to 2004 (period 1) and 2005 to 2014 (period 2). All deaths at a level I trauma center with an anticipated probability of death less than 50% and/or identified through process improvement committees were examined. Demographics were assessed for trend only because period 1 data were only available in median and interquartile range. Each death was critically appraised to identify potential error, with subsequent classification of error type, phase, cause, and contributing cognitive processes, with comparison of outcomes made using χ test of independence. During period 1, there were a total of 44,401 admissions with 2,594 deaths and 64 deaths (2.5%) associated with an error, compared with 60,881 admissions during period 2 with 2,659 deaths and 77 (2.9%) associated with an error. Deaths associated with an error occurred in younger and less severely injured patients in period 1 and were likely to occur during the early phase of care, primarily from failed resuscitation and hemorrhage control. In period 2, deaths occurred in older more severely injured patients and were likely to occur in the later phase of care primarily because of respiratory failure from aspiration. Despite injured patients being older and more severely injured, error-associated deaths during the early phase of care that was associated with hemorrhage improved over time. Successful implementation of system improvements resolved issues in the early phase of care but shifted deaths to later events during the recovery phase including respiratory failure from aspiration. This study demonstrates that ongoing evaluation is essential for continuous process improvement and realignment of efforts, even in a mature trauma system. Therapeutic/Care Management, level IV.

Use of 911 for Rapid Re-Triage of Critical Trauma Patients.

The objective of this study was to evaluate the effectiveness of a 911 trauma re-triage protocol implemented at a new community hospital in a region with a high volume of trauma and frequent transports by private vehicle. This retrospective cohort study included all trauma patients ≥15 years old transferred via 911 trauma re-triage from a new community hospital over a 10-month period from August 2015 through April 2016. Criteria for 911 trauma re-triage were developed with input from local Emergency Medical Services (EMS) and trauma experts. An educational module, along with the criteria and implementation steps, was distributed to the emergency department (ED) personnel at the community hospital. Data were abstracted from the regional trauma registry, and the EMS patient care records were reviewed. Primary outcomes were: (1) median total transport time; and (2) proportion of patients who met the 911 re-triage criteria. During the study period, 32 patients with traumatic injuries were transferred via 911 re-triage to the closest trauma center (TC). The median age of patients was 31 years (IQR 24-45 years) with 78% male and 66% suffering from a penetrating mechanism. The median prehospital provider scene time was 10 minutes (IQR 8-12 minutes) and transport time was seven minutes (IQR 6-9 minutes). Median total transport time was 17 minutes (IQR 15-20 minutes). Seventeen patients (53%) met 911 re-triage criteria as determined by study investigators. The most common criteria met was "penetrating injury to the head, neck, or torso" in 14 cases. This study demonstrated that 911 re-triage was a feasible strategy to expeditiously transfer critical trauma patients to a TC within a mature trauma system in an urban-suburban setting with a median total transport time of 17 minutes.

An analysis of overtriage and undertriage by advanced life support transport in a mature trauma system.

While issues regarding triage of severely injured trauma patients are well publicized, little information exists concerning the difference between triage rates for patients transported by advanced life support (ALS) and basic life support (BLS). We sought to analyze statewide trends in undertriage (UT) and overtriage (OT) to address this question, hypothesizing that there would be a difference between the UT and OT rates for ALS compared with BLS over a 13-year period. All patients submitted to Pennsylvania Trauma Outcomes Study database from 2003 to 2015 were analyzed. Undertriage was defined as not calling a trauma alert for patients with an Injury Severity Score (ISS) of 16 or greater. Overtriage was defined as calling a trauma alert for patients with an ISS of 9 or less. A logistic regression was used to assess mortality between triage groups in ALS and BLS. A multinomial logistic regression assessed the adjusted impact of ALS versus BLS transport on UT and OT versus normal triage while controlling for age, sex, Glasgow Coma Scale, systolic blood pressure (SBP), pulse, Shock Index and injury year. A total of 462,830 patients met inclusion criteria, of which 115,825 had an ISS of 16 or greater and 257,855 had an ISS of 9 or less. Both ALS and BLS had significantly increased mortality when patients were undertriaged compared with the reference group. Multivariate analysis in the form of a multinomial logistic regression revealed that patients transported by ALS had a decreased adjusted rate of undertriage (relative risk ratio, 0.92; 95% confidence interval, 0.87-0.97; p = 0.003) and an increased adjusted rate of OT (relative risk ratio, 1.59; 95% confidence interval, 1.54-1.64; p < 0.001) compared with patients transported by BLS. Compared with their BLS counterparts, while UT is significantly lower, OT is substantially higher in ALS-further increasing the high levels of resource (over)utilization in trauma patients. Undertriage in both ALS and BLS are associated with increased mortality rates. Additional education, especially in the BLS provider, on identifying the major trauma victim may be warranted based on the results of this study. Epidemiological, Level III.