Factors influencing secondary overtriage in trauma patients undergoing interhospital transfer: A 10-year multi-center study in Hong Kong.

BACKGROUND: With the development of regionalised trauma networks, interhospital transfer of trauma patients is an inevitable component of the trauma system. However, unnecessary transfer is a common phenomenon, and it is not without risk and cost. A better understanding of secondary overtriage would enable emergency physicians to make better decisions about trauma transfers and allow guidelines to be developed to support this decision making. This study aimed to describe the pattern of secondary overtriage in Hong Kong and identify its associated factors. METHODS: This was a retrospective review of 10-years of prospectively collected multi-center data from two trauma registries in the New Territories of Hong Kong (2013-2022). The primary outcome is secondary overtriage, which was defined as early discharge alive within 48 h, Injury Severity Score (ISS) <15, and no surgical operation done. Patient characteristics, physiology, anatomy and investigation variables were compared against secondary overtriage using univariate and multivariable analyses. RESULTS: During the study period, 3852 patients underwent interhospital transfer from a non-trauma center to a trauma center, and 809 (21 %) of the transfers were considered secondary overtriage. The secondary overtriage rate was higher in pediatric age groups at 34.8 % (97/279). Logistic regression analysis showed secondary overtriage to be associated with blunt trauma and an Abbreviated Injury Scale (AIS) score of <3 for head or neck, thorax, abdomen and extremities. CONCLUSION: Interhospital transfer is an essential component of the trauma system. However, over one-fifth of the transfers were considered unnecessary in Hong Kong, and this could be considered to be an inefficient use of resources as well as cause inconvenience to patients and their families. We have identified related factors including blunt trauma, AIS <3 scores for head or neck, thorax, abdomen and extremities, and opportunities to establish and improve on transfer protocols. Further research should be aimed to safely reduce interhospital transfers in the future to improve the efficiency of the Hong Kong trauma system.

Association of the Affordable Care Act Medicaid Expansion With Secondary Overtriage among Young Adult Trauma Patients.

BACKGROUND: Previous work has shown that the Affordable Care Act (ACA) Medicaid expansion decreased the uninsured rate and improved some trauma outcomes among young adult trauma patients, but no studies have investigated the impact of ACA Medicaid expansion on secondary overtriage, namely the unnecessary transfer of non-severely injured patients to tertiary trauma centers. METHODS: Statewide hospital inpatient and emergency department discharge data from two Medicaid expansion and one non-expansion state were used to compare changes in insurance coverage and secondary overtriage among trauma patients aged 19-44 y transferred into a level I or II trauma center before (2011-2013) to after (2014-quarter 3, 2015) Medicaid expansion. Difference-in-difference (DD) analyses were used to compare changes overall, by race/ethnicity, and by ZIP code-level median income quartiles. RESULTS: Medicaid expansion was associated with a decrease in the proportion of patients uninsured (DD: -4.3 percentage points; 95% confidence interval (CI): -7.4 to -1.2), an increase in the proportion of patients insured by Medicaid (DD: 8.2; 95% CI: 5.0 to 11.3), but no difference in the proportion of patients who experienced secondary overtriage (DD: -1.5; 95% CI: -4.8 to 1.8). There were no differences by race/ethnicity or community income level in the association of Medicaid expansion with secondary overtriage. CONCLUSIONS: In the first 2 y after ACA Medicaid expansion, insurance coverage increased but secondary overtriage rates were unchanged among young adult trauma patients transferred to level I or II trauma centers.

Five Level Triage vs. Four Level Triage in a Quaternary Emergency Department: National Analysis on Waiting Time, Validity, and Crowding-The CREONTE (Crowding and RE-Organization National TriagE) Study Group.

Background and Objectives: Triage systems help provide the right care at the right time for patients presenting to emergency departments (EDs). Triage systems are generally used to subdivide patients into three to five categories according to the system used, and their performance must be carefully monitored to ensure the best care for patients. Materials and Methods: We examined ED accesses in the context of 4-level (4LT) and 5-level triage systems (5LT), implemented from 1 January 2014 to 31 December 2020. This study assessed the effects of a 5LT on wait times and under-triage (UT) and over-triage (OT). We also examined how 5LT and 4LT systems reflected actual patient acuity by correlating triage codes with severity codes at discharge. Other outcomes included the impact of crowding indices and 5LT system function during the COVID-19 pandemic in the study populations. Results: We evaluated 423,257 ED presentations. Visits to the ED by more fragile and seriously ill individuals increased, with a progressive increase in crowding. The length of stay (LOS), exit block, boarding, and processing times increased, reflecting a net raise in throughput and output factors, with a consequent lengthening of wait times. The decreased UT trend was observed after implementing the 5LT system. Conversely, a slight rise in OT was reported, although this did not affect the medium-high-intensity care area. Conclusions: Introducing a 5LT improved ED performance and patient care.

An Evaluation of Pediatric Secondary Overtriage in the Pennsylvania Trauma System.

BACKGROUND: We sought to determine the secondary overtriage rate of pediatric trauma patients admitted to pediatric trauma centers. We hypothesized that pediatric secondary overtriage (POT) would constitute a large percentage of admissions to PTC. MATERIALS AND METHODS: The Pennsylvania Trauma Outcome Study database was retrospectively queried from 2003 to 2017 for pediatric (age ≤ 18 y) trauma patients transferred to accredited pediatric trauma centers in Pennsylvania (n = 6). Patients were stratified based on discharge within (early) and beyond (late) 24 h following admission. POT was defined as patients transferred to a PTC with an early discharge. Multilevel mixed-effects logistic regression model controlling for demographic and injury severity covariates were utilized to determine the adjusted impact of injury patterns on early discharge. RESULTS: A total of 37,653 patients met inclusion criteria. For transfers, POT compromised 18,752 (49.8%) patients. Compared to POT, non-POT were more severely injured (ISS: 10 versus 6;P < 0.001) and spent less time in the ED (Min: 181 versus 207;P < 0.001). In adjusted analysis, concussion, closed skull vault fractures, supracondylar humerus fractures, and consults to neurosurgery were associated with increased odds of POT. Overall, femur fracture, child abuse evaluation, and consults to plastic surgery, orthopedics, and ophthalmology were all associated with a decreased risk of being POT. CONCLUSIONS: POT comprises 49.8% of PTC transfer admissions in Pennsylvania's trauma system. Improving community resources for management of pediatric concussion and mild TBI could result in decreased rates of POT to PTCs. Developing better inter-facility transfer guidelines and increased education of adult TC and nontrauma center hospitals is needed to decrease POT. LEVEL OF EVIDENCE: Epidemiologic study, level III.

The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression: a simulation study.

BACKGROUND: Accurate prehospital trauma triage is crucial for identifying critically injured patients and determining the level of care. In the prehospital setting, time and data are often scarce, limiting the complexity of triage models. The aim of this study was to assess whether, compared with logistic regression, the advanced machine learner XGBoost (eXtreme Gradient Boosting) is associated with reduced prehospital trauma mistriage. METHODS: We conducted a simulation study based on data from the US National Trauma Data Bank (NTDB) and the Swedish Trauma Registry (SweTrau). We used categorized systolic blood pressure, respiratory rate, Glasgow Coma Scale and age as our predictors. The outcome was the difference in under- and overtriage rates between the models for different training dataset sizes. RESULTS: We used data from 813,567 patients in the NTDB and 30,577 patients in SweTrau. In SweTrau, the smallest training set of 10 events per free parameter was sufficient for model development. XGBoost achieved undertriage rates in the range of 0.314-0.324 with corresponding overtriage rates of 0.319-0.322. Logistic regression achieved undertriage rates ranging from 0.312 to 0.321 with associated overtriage rates ranging from 0.321 to 0.323. In NTDB, XGBoost required the largest training set size of 1000 events per free parameter to achieve robust results, whereas logistic regression achieved stable performance from a training set size of 25 events per free parameter. For the training set size of 1000 events per free parameter, XGBoost obtained an undertriage rate of 0.406 with an overtriage of 0.463. For logistic regression, the corresponding undertriage was 0.395 with an overtriage of 0.468. CONCLUSION: The under- and overtriage rates associated with the advanced machine learner XGBoost were similar to the rates associated with logistic regression regardless of sample size, but XGBoost required larger training sets to obtain robust results. We do not recommend using XGBoost over logistic regression in this context when predictors are few and categorical.

Secondary Overtriage of Trauma Patients: Analysis of Clinical and Geographic Patterns.

BACKGROUND: The purpose of a trauma system is to match patients' needs with hospitals' ability to care for them, recognizing that the highest levels of care cannot be provided in all locations. This means that some patients will need to be transferred from a local facility to a higher level of care. Unnecessary transfers are expensive and inconvenient to patients and families. The aim of this study is to analyze the pattern of secondary transfers in a regional trauma system. METHODS: This is a retrospective analysis. We included patients aged 16 y and older who were transferred to University of Alabama at Birmingham Hospital between 2014 and 2018. We conducted bivariate and multivariate logistic regression analysis to identify clinical and organizational predictors of requiring a critical intervention, early discharge, intensive care unit admission, and mortality. Rather than treating each injury as isolated, we analyzed injury patterns. RESULTS: A total of3824 patients met the inclusion criteria. Of them, 664 patients (17.4%) required a critical intervention, 635 (16.6%) were discharged within 24 h, 1356 (35.5%) were admitted to the intensive care unit, and 172 (4.0%) patients died. Univariate and multivariate analyses revealed many positive associations, with regard to injury pattern, originating center, and insurance status. CONCLUSIONS: There are patterns in the data, and further study is required to understand drivers of secondary overtriage, and how we might be able to address this problem. Reducing the number of unnecessary transfers is a difficult task, which will require engagement at all levels of the trauma system.

Redefining the Trauma Triage Matrix: The Role of Emergent Interventions.

BACKGROUND: A tiered trauma team activation (TTA) system aims to allocate resources proportional to the patient's need based upon injury burden. The current metrics used to evaluate appropriateness of TTA are the trauma triage matrix (TTM), need for trauma intervention (NFTI), and secondary triage assessment tool (STAT). MATERIALS AND METHODS: In this retrospective study, we compared the effectiveness of the need for an emergent intervention within 6 h (NEI-6) with existing definitions. Data from the Michigan Trauma Quality Improvement Program was utilized. The dataset contains information from 31 level 1 and 2 trauma centers from 2011 to 2017. Inclusion criteria were: adult patients (≥16 y) and ISS ≥5. RESULTS: 73,818 patients were included in the study. Thirty percentage of trauma patients met criteria for STAT, 21% for NFTI, 20% for TTM, and 13% for NEI-6. NEI-6 was associated with the lowest rate of undertriage at 6.5% (STAT 22.3%, NFTI 14.0%, TTM 14.3%). NEI-6 best predicted undertriage mortality, early mortality, in-hospital mortality, and late (>60 h) mortality. Most patients who met criteria for TTM (58%), NFTI (51%), and STAT (62%) did not require emergent intervention. All four methods had similar rates of early mortality for patients who did not meet criteria (0.3%-0.5%). CONCLUSIONS: NEI-6 performs better than TTM, NFTI, and STAT in terms of undertriage, mortality and need for resource utilization. Other methods resulted in significantly more full TTAs than NEI-6 without identifying patients at risk for early mortality. NEI-6 represents a novel tool to determine trauma activation appropriateness.

Evaluation and Comparison of Different Prehospital Triage Scores of Trauma Patients on In-Hospital Mortality.

Introduction: Several prehospital major trauma patient triage scores have been developed, the triage revised trauma score (T-RTS), Vittel criteria, Mechanism/Glasgow Coma Scale/Age/Systolic blood pressure score (MGAP), and the new trauma score (NTS). These scoring schemes allow a rapid and accurate prognostic assessment of the severity of potential lesions. The aim of our study was to compare these scores with in-hospital mortality predictions in a cohort of consecutive trauma patients admitted in a Level 1 trauma center. Materials: Between 2013 and 2016, 1,112 patients were admitted to the "major trauma" spinneret of a Level 1 trauma center in the south of France. All prehospital data needed to calculate the T-RTS, Vittel criteria, the MGAP score, and the NTS were collected. The main evaluation criterion was in-hospital mortality at 30 days for all causes. The predictive performances of these scores were evaluated and compared with each other using the analysis of the receiver operating curves. Results: A total of 1,001 patients were included in the analysis, 238 (24%) females, aged 43 ± 19 years with ISS 15 ± 13. The area under the curve was for each score: T-RTS, AUC = 0.84, [0.82-0.87]; Vittel criteria, AUC = 0.87 [0.85-0.89]; MGAP score, AUC = 0.91 [0.89-0.92] and NTS, AUC = 0.90 [0.88-0.92]. By comparing the ROC curves of these scores, the MGAP and NTS scores were statistically higher than the T-RTS. With the current thresholds, the sensitivity, specificity, positive and negative predictive values of these scores were 91%, 35%, 10%, 98% for T-RTS, 100%, 2%, 8%, 100% for Vittel criteria, 91%, 71%, 24%, 99% for MGAP score, 82%, 86%, 33%, 98% for NTS. Only Vittel's criteria allowed undertriage below 5% as recommended by the American College of Surgeons Committee on Trauma (ACSCOT). Conclusion: The comparison of these different triage scores concluded with a superiority of the MGAP and NTS scores compared with the T-RTS. Including the calculation of MGAP or NTS scores with the Vittel criteria would reduce the risk of overtriage in the Level 1 trauma centers by further directing patients at low risk of death to a lower-level trauma facility.

Effects of an emergency transfer coordination center on secondary overtriage in an emergency department.

BACKGROUND: Patients who cannot be stabilized at a lower-level emergency department (ED) should be transferred to an upper-level ED by emergency medical services. However, some patients are subsequently discharged after transfer without any intervention or admission, and this secondary overtriage (SO) wastes the limited resources of upper-level EDs. This study aimed to investigate whether an emergency transfer coordination center (ETCC) could reduce the risk of SO among patients who were transferred to a tertiary ED by emergency medical services. METHODS: This retrospective observational study evaluated data from a prospective registry at an urban tertiary ED in Korea (January 2017 to May 2017). The exposure of interest was defined as ETCC approval prior to transfer and the primary outcome was SO. Univariate analyses were used to identify statistically significant variables, which were used for a multivariate logistic regression analysis to estimate the effects of ETCC approval on SO. RESULTS: During the study period, 1270 patients were considered eligible for this study. A total of 291 transfers were approved by the center's ETCC, and the remaining patients were transferred without approval. Compared to cases without ETCC approval, cases with transfer after ETCC approval had a significantly lower risk of SO (odds ratio: 0.624, 95% confidence interval: 0.413-0.944). CONCLUSION: Transfers that were evaluated by an ETCC had a lower risk of SO, which may improve the appropriateness of transfer. Thus, tertiary EDs that have high proportions of transferred patients should have a transfer coordination system that is similar to an ETCC.

Old Age With a Traumatic Mechanism of Injury Should Be a Trauma Team Activation Criterion.

BACKGROUND: Age is not a standard trauma team activation (TTA) criteria recommended by the Committee on Trauma. However, there is concern that vital signs in elderly patients are often unreliable. In addition, elderly patients are at risk after moderate trauma. At our institution, age ≥ 70 years with traumatic mechanisms of injury has been a TTA criterion for more than 15 years. OBJECTIVE: Our aim was to determine whether age ≥70 years as a TTA criterion appropriately identifies patients in need of additional resources without significantly impacting overtriage rates. METHODS: We conducted a retrospective trauma registry study of TTAs for age ≥ 70 years from January 2012-December 2016. Demographics, injury data, Injury Severity Score (ISS), procedures, emergency department (ED) disposition, and hospital data were collected. Primary outcome was mortality, secondary outcomes were intensive care unit (ICU) and hospital lengths of stay. Patients were stratified into meeting standard criteria (TTA-S) or activated based on age alone (TTA-A). TTA patients with ISS > 15, ED intubation, ICU admission, immediate operating room or catheter-based intervention, and mortalities were appropriately triaged. RESULTS: During the study, there were 5436 total TTAs. Seven hundred and thirty-nine TTAs in patients aged ≥ 70 years, of which 198 (26.8%) were TTA-S and 541 (73.2%) were TTA-A. In the TTA-A group, 49 (9%) patients died, 149 (27.5%) had ISS > 15, 65 (12%) underwent immediate intervention, 72 (13%) had ED intubations, and 306 (56.6%) required admission to the ICU. The overtriage rate in the TTA-A group was 39.6%. CONCLUSIONS: Elderly patients with severe trauma patients often do not meet the standard TTA criteria, resulting in potentially dangerous undertriage. Addition of age (≥70 years) criterion for TTA reduces undertriage and does not result in excessive overtriage.

Torso computed tomography in blunt trauma patients with normal vital signs can be avoided using non-invasive tests and close clinical evaluation.

PURPOSE: To determine whether torso CT can be avoided in patients who experience high-energy blunt trauma but have normal vital signs. METHODS: High-energy blunt trauma patients with normal vital signs were retrieved retrospectively from our registry. We reviewed 1317 patients (1027 men and 290 women) and 761 (57.8%) fulfilled the inclusion criteria. All patients were initially evaluated at the emergency room (ER), with a set of tests, part of a specific protocol. Patients with at least one altered exam at initial examination or after six-hour observation received a torso CECT. Sensitivity, specificity, accuracy, positive (PPV) and negative predictive values (NPV), and likelihood ratio (LH) of the protocol were evaluated. RESULTS: Of 761 patients, 354 (46.5%) received torso CECT because of the positive ER test, with 330 being true positive and 24 being false positive. The remaining 407 patients were negative at ER tests and did not receive torso CECT, showing a significantly (P < 0.001) lower Injury Severity Score (ISS). The positive and negative LH of the protocol to detect torso injuries were respectively 16.5 and 0.01 (overall accuracy of 0.96). CONCLUSIONS: Torso CT can be avoided without adverse clinical outcomes in patients who experience high-energy blunt trauma, are hemodynamically stable, and have normal initial laboratory and imaging tests.

HEMS inter-facility transfer: a case-mix analysis.

BACKGROUND: Helicopter emergency medical services (HEMS) are popular rescue systems despite inconsistent evidence in the scientific literature to support their use for primary interventions, as well as for inter-facility transfer (IFT). There is little research about IFT by HEMS, hence questions remain about the appropriateness of this method of transport. The aim of this study was to describe a case-mix of operational and medical characteristics for IFT activity of a sole HEMS base, and identify indicators of over-triage. METHODS: This is a retrospective study on HEMS IFT over 36 months, from January 1st 2013 to December 31st 2015. Medical and operational data from the database of the Emergency Department of Lausanne University Hospital, which provides the emergency physicians for this helicopter base, were reviewed. It included distance and time of flight transport, type of care during flight, and estimated distance of transport if conducted by ground. RESULTS: There were 2194 HEMS missions including 979 IFT (44.6%). Most transfers involved adults (> 17 years old; 799 patients, 81.6%). Forty patients (4.1%) were classified as having benefitted from resuscitation or life-saving measures performed in flight, 615 (62.8%) from emergency treatment and 324 (33.1%) from simple clinical examination. The median distance by air between hospitals was 35.4 km. The estimated median distance by road was 47.7 km. The median duration time from origin to destination by air was 12 min. CONCLUSIONS: This case-mix of IFTs by HEMS presents a high severity. There are many signs in favour of over-triage. We propose indicators to help choosing whether HEMS is the most appropriate mean of transport to perform the transfer regarding patient condition, geography, and medical competences available aboard ground ambulances; this may reduce over-triage.

Anticoagulated Trauma Patients: A Level I Trauma Center's Response to a Growing Geriatric Population.

BACKGROUND: Injured older adults often receive delayed care in the emergency department (ED) because they do not meet criteria for trauma team activation (TTA). This is particularly dangerous for the increasing number of patients taking anticoagulant or antiplatelet (AC/AP) medication at the time of injury. OBJECTIVES: The present study examined improvements in processes of care and triage accuracy when TTA criteria include an escalated response for older anticoagulated patients. METHODS: A retrospective study was performed at a Level I trauma center. The study population (referred to as A55) included patients aged 55 years or older who were taking an AC/AP medication at the time of injury. Study periods included 11 months prior to the criteria change (Phase 1: July 2013-May 2014; n = 107) and 11 months after the change (Phase 2: July 2014-May 2015; n = 211). Differences were assessed with Kruskal-Wallis and chi-squared tests. RESULTS: More A55 patients received a full or limited TTA after criteria were revised (70% vs. 26%, p < 0.001). Undertriage was reduced from 13% to 2% (p < 0.001). The trauma center significantly decreased time to first laboratory result, time to first computed tomography scan, and total time in ED prior to admission for A55 patients arriving from the scene of injury or by private vehicle. CONCLUSION: Criteria that escalated the trauma response for A55 patients led to reductions in undertriage for anticoagulated older adults, as well as more timely mobilization of important clinical resources.

Nationwide secondary overtriage in level 3 and level 4 trauma centers: are these transfers necessary?

BACKGROUND: Secondary overtriage (SO) refers to the interfacility transfer of trauma patients who are rapidly discharged home without surgical intervention by the receiving institution. SO imposes a financial hardship on patients and strains trauma center resources. Most studies on SO have been conducted from the perspective of the receiving hospital, which is usually a level 1 trauma center. Having previously studied SO from the referring rural hospital's perspective, we sought to identify variables contributing to SO at the national level. METHODS: Using data from the 2008-2012 National Trauma Data Bank, we isolated patients transferred to level 1 trauma centers who were: (1) discharged home within 48 h and (2) did not undergo any surgical procedure. This population was subsequently compared with similar patients treated at and discharged directly from level 3 and 4 centers. Multivariate logistic regression analysis was used to isolate variables that independently influenced a patient's risk of undergoing SO. Injury patterns were characterized by use of subspecialty consultants. RESULTS: A total of 99,114 patients met inclusion criteria, of which 13.2% were discharged directly from level 3 or 4 trauma centers, and 86.8% of them were transferred to a level 1 trauma center before discharge. The mean Injury Severity Score of the nontransfer and transfer groups was 5.4 ± 4.5 and 7.3 ± 5.7, respectively. Multivariate regression analysis showed that Injury Severity Score > 15, alcoholism, smoking, drug use, and certain injury patterns involving the head, vertebra, and face were associated with being transferred. In this minimally injured population, factors protective against transfers were: age > 65 y, female gender, systolic blood pressure <80, a head computed tomography scan and orthopedic injuries. CONCLUSIONS: SO results from the complex interplay of variables including patient demographics, facility characteristics, and injury type. The inability to exclude a potentially devastating neurologic injury seems to drive SO.

Secondary overtriage in a statewide rural trauma system.

BACKGROUND: Rural hospitals have variable degrees of involvement within the nationwide trauma system because of differences in resources and operational goals. "Secondary overtriage" refers to the patient who is discharged home shortly after being transferred from another hospital. An analysis of these occurrences is useful to determine the efficiency of the trauma system as a whole. MATERIALS AND METHODS: Data were extracted from a statewide trauma registry from 2007-2012 to include those who were (1) discharged home within 48 h of arrival and (2) did not undergo a surgical procedure. We then identified those who arrived as a transfer before being discharged (secondary overtriage) from those who arrived from the scene. Factors associated with transfers were analyzed using a logistic regression. Injuries were classified based on the need of a specific consultant. Time of arrival to the emergency department was analyzed using 8-h blocks, with the 7 AM-3 PM block as reference. RESULTS: A total of 19,319 patients fit our inclusion criteria of which 1897 (9.8%) arrived as transfers. Descriptive analysis showed a number of differences between transfers and nontransfers because of our large sample size. Thus, we examined variables that had more clinical significance using logistic regression controlling for age, injury severity score, the type of injury, blood products given, the time of arrival to initial emergency room, and whether a computed tomography scan was obtained initially. Factors associated with being transferred were injury severity score >15, transfusion of packed-red-blood-cells, graveyard-shift arrivals, and neurosurgical, spine, and facial injuries. Patients having a computed tomography scan were less likely to be transferred. CONCLUSIONS: Secondary overtriage may result from the hospital's limited resources. Some of these limitations are the availability of surgical specialists, blood products, and overall coverage during the "graveyard-shift." However, some of these transfers may be appropriate even though patients are ultimately discharged shortly after transfer.

Prehospital triage of trauma patients using the Random Forest computer algorithm.

BACKGROUND: Overtriage not only wastes resources but also displaces the patient from their community and causes delay of treatment for the more seriously injured. This study aimed to validate the Random Forest computer model (RFM) as means of better triaging trauma patients to level 1 trauma centers. METHODS: Adult trauma patients with "medium activation" presenting via helicopter to a level 1 trauma center from May 2007 to May 2009 were included. The "medium activation" trauma patient is alert and hemodynamically stable on scene but has either subnormal vital signs or accumulation of risk factors that may indicate a potentially serious injury. Variables included in the RFM analysis were demographics, mechanism of injury, prehospital fluid, medications, vitals, and disposition. Statistical analysis was performed via the Random Forest algorithm to compare our institutional triage rate to rates determined by the RFM. RESULTS: A total of 1653 patients were included in this study, of which 496 were used in the testing set of the RFM. In our testing set, 33.8% of patients brought to our level 1 trauma center could have been managed at a level 3 trauma center, and 88% of patients who required a level 1 trauma center were identified correctly. In the testing set, there was an overtriage rate of 66%, whereas using the RFM, we decreased the overtriage rate to 42% (P < 0.001). There was an undertriage rate of 8.3%. The RFM predicted patient disposition with a sensitivity of 89%, specificity of 42%, negative predictive value of 92%, and positive predictive value of 34%. CONCLUSIONS: Although prospective validation is required, it appears that computer modeling potentially could be used to guide triage decisions, allowing both more accurate triage and more efficient use of the trauma system.

Characteristics of undertriaged older patients in the emergency department: Retrospective study.

BACKGROUND: Older patients are more likely to be undertriaged as they often suffer from multiple diseases and complain of non-specific symptoms. Therefore, it is necessary to identify the characteristics of undertriaged older patients in emergency departments. METHODS: This descriptive study retrospectively reviewed and analyzed the electronic medical records of older patients who visited the emergency department of a general hospital in Seoul between January and December 2019. RESULTS: Approximately 29 % (n = 4,823) of older patients who visited the emergency department during the study period were classified as Korean Triage and Acuity Scale (KTAS) level 4 or 5, and approximately 8 % (n = 397) were undertriaged. Approximately 73 % (n = 288) of patients were hospitalized after visiting the emergency department. The undertriaged older patients exhibited nervous system symptoms such as dizziness and headache (28.8 %), cardiopulmonary symptoms such as chest discomfort, palpitations, and abdominal pain (28.4 %), head trauma (12.8 %), and respiratory symptoms such as cough and dyspnea (12.5 %). CONCLUSION: Triage nurses in emergency departments should carefully triage older patients as their chief complaints can be non-specific. In particular, when older patients visit the emergency department and exhibit symptoms such as dizziness, abnormal pain, chest discomfort, palpitations, and head trauma, they are more likely to be admitted to the intensive care unit. Therefore, meticulous care for older patients showing these symptoms is essential.

[Analysis of a differentiated resuscitation room activation at a national trauma center]. / Analyse einer differenzierten Schockraumalarmierung an einem überregionalen Traumazentrum.

BACKGROUND: In order to continue to efficiently provide both personnel-intensive and resource-intensive care to severely injured patients, some hospitals have introduced individually differentiated systems for resuscitation room treatment. The aim of this study was to evaluate the concept of the A and B classifications in terms of practicability, indications, and potential complications at a national trauma center in Bavaria. METHODS: In a retrospective study, data from resuscitation room trauma patients in the year 2020 were collected. The assignment to A and B was made by the prehospital emergency physician. Parameters such as the injury severity score (ISS), Glasgow outcome scale (GOS), upgrade rate, and the indication criteria according to the S3 guidelines were recorded. Statistical data comparisons were made using t­tests, χ2-tests, or Mann-Whitney U­tests. RESULTS: A total of 879 resuscitation room treatments (A 473, B 406) met the inclusion criteria. It was found that 94.5% of resuscitation room A cases had physician accompaniment, compared to 48% in resuscitation room B assignments. In addition to significantly lower ISS scores (4.1 vs. 13.9), 29.8% of B patients did not meet the treatment criteria defined in the S3 guidelines. With a low upgrade rate of 4.9%, 98% of B patients had a GOS score of 4 or 5. CONCLUSION: The presented categorization is an effective and safe way to manage the increasing number of resuscitation room alerts in a resource-optimized manner.

Defining futile and potentially avoidable interhospital trauma transfers.

PURPOSE: Interhospital transfer of critically injured patients to a major trauma service reduces preventable death in major trauma. Yet some of those transferred die without intervention. These 'futile' interhospital trauma transfers (IHTs), and other potentially avoidable IHTs place enormous stress on families of trauma victims, can delay care, and incur great cost to public health resources. This study sought to characterise these IHTs using current state guidelines for interhospital transfer. METHODS: A retrospective cohort study was conducted using our institution's trauma registry from January 2016-December 2020. All adult patients transferred to our major trauma service were analysed. Futile IHTs were defined as death or transfer to hospice care without surgical, endoscopic, or radiological intervention, and without ICU admission, within 72 h of admission. Potentially avoidable IHTs were defined as all patients discharged alive without intervention or ICU care, and secondary over-triage patients are a subset of these patients who were discharged within 72 h of admission. Patient demographics, injuries, and treatments were categorised from electronic records and analysed. RESULTS: Of 2,837 IHTs, seven (0.2 %) met criteria for futility. The majority were female, median age of 80 (IQR 85-75) and had a median Injury Severity Score (ISS) of 16 (IQR 25.5-11.5). By contrast, 1391 patients (49 %) were classified as potentially avoidable and 513 (18 %) were considered secondary over-triage. The majority were male, median age of 43 (IQR 62-28), and had a median ISS of 9 (IQR 13-4). Of these potentially avoidable IHTs, 984 (70.7 %) were discharged directly home. CONCLUSION: Futile IHTs were infrequent, however over half of all trauma patients transferred from other hospitals were discharged without tertiary-level intervention. Trauma services should consider developing systems such as telehealth to support regional general and orthopaedic surgeons to co-manage lower risk trauma, particularly minor head and minor spinal trauma patients. This could be an integral part of safely reducing potentially avoidable IHTs and their associated costs while maintaining a low rate of preventable mortality in trauma.

Time Delay in Motor Vehicle Accident Arrival: A Critical Analysis of Trauma Team Activation.

Introduction This research aims to investigate the role of time since trauma (TST) in refining trauma team activation (TTA) criteria within a level I trauma center. We analyze the association between TST and post-emergency department (ED) disposition, proposing new insights for the enhancement of TTA criteria. Methods A retrospective analysis was conducted on a dataset comprising 3,693 patients presenting to a level I trauma center following motor vehicle accidents (MVAs) from 2016 to 2021. Data from a trauma registry, encompassing time of injury, time of ED arrival, TTA status, and post-ED disposition, were utilized. TST was calculated as the difference between the time of injury and the time of ED arrival. Patients that received TTA, full or partial, were categorized based on TST (less than one hour, one to two hours, and two or more hours). Statistical analyses, including chi-square tests, were performed using the Statistical Analysis System (SAS) (version 3.8, SAS Institute Inc., Cary, NC). Results Of the 1,261 patients meeting the criteria, 98.3% received TTA, with decreasing TTA rates observed with increasing TST (p = 0.0076). A significant association was found between TST and post-ED disposition for patients who received TTA (p = 0.0007). Compared to the other TST groups, a higher proportion of patients with a TST of two or more hours were admitted, sent to the intensive care unit (ICU), and sent to the operating room (OR).  Conclusion The study indicates a statistically significant relationship between TST and TTA rates, challenging our assumptions about the decreased need for TTA over time. While a longer TST was associated with a lower percentage of TTA, patients with a TST of two or more hours demonstrated increased rates of admission, ICU utilization, and surgical interventions. This suggests that TTA criteria may benefit from refinement to include patients with longer TST. Acknowledging study limitations, such as a small sample size and retrospective design, this research contributes valuable insights into potential considerations for optimizing trauma care protocols.