Trauma Triage Research Articles

Current situation and development of Chinese trauma care system

Trauma has always been a global public health issue and urgently needed to be solved. It has great practical significance for the research of trauma care system. There are two mainstream models of trauma care system in the world. One is the prehospital care represented by the United States and the United Kingdom, which emphasizes rapid transport, and the other is the prehospital care represented by France and Germany, which emphasizes on-site care. The trauma care system was deficient in most developing countries. During the past ten years, rapid progresses have been achieved in trauma care system construction in China which refers to "Chinese regional trauma care system(CRTCS)". CRTCS is established in one administrative region, with one large tertiary hospital as trauma center and five to six secondary hospitals as trauma care sites to form the closed-cycle regional trauma triage and transportation protocols. After several years of construction and implementation, CRTCS is considered to be a feasible new trauma care system in line with the characteristics of China's national conditions, which can significantly shorten the time of trauma treatment and reduce the mortality of trauma. It is worthy of reference for developing countries.

Assessment of the Suitability of Trauma Triage According to Physiological Criteria in Korea

Purpose: A trauma center project for treating patients with trauma has been established in Korea. A trauma team is activated based on the Centers for Disease Control and Prevention (CDC) field triage Step 1 for patient triage. Here, we determined if the currently applied criteria were appropriate for the triage of patients with trauma in Korea.Methods: This retrospective study included patients who were taken to the regional trauma center from January 1, 2016 to December 31, 2019, and were registered in the Korean Trauma database. The rates for undertriage and overtriage were calculated from the in-field and in-hospital triage according to the CDC guidelines Step 1.Results: Among the 9,383 patients transferred to the trauma center, 3,423 were directly transferred from the site and were investigated. The overall rates for undertriage and overtriage of these patients were 28.13% and 30.35%, respectively. For the patients who received in-field triage and were directly transferred to the trauma center, the rates for undertriage and overtriage were 27.92% and 32.39%, and 25.92% and 29.11% for in-hospital triage, respectively. The concordance rate of triage was 87.09%.Conclusion: The current use of in-hospital triage physiological criteria as set out in the CDC guidelines Step 1, indicated an undertriage rate which was high and an overtriage rate within the acceptable range. Further studies on triaging patients with trauma are warranted. Improvements in the guidelines of the trauma center project are necessary and this needs to be supported by resources and training for field personnel.

Enhancing utility of interfacility triage guidelines using machine learning: Development of the Geriatric Interfacility Trauma Triage score.

Undertriage of injured older adults to tertiary trauma centers (TTCs) has been demonstrated by many studies. In predominantly rural regions, a majority of trauma patients are initially transported to nontertiary trauma centers (NTCs). Current interfacility triage guidelines do not highlight the hierarchical importance of risk factors nor do they allow for individual risk prediction. We sought to develop a transfer risk score that may simplify secondary triage of injured older adults to TTCs. This was a retrospective prognostic study of injured adults 55 years or older initially transported to an NTC from the scene of injury. The study used data reported to the Oklahoma State Trauma Registry between 2009 and 2019. The outcome of interest was either mortality or serious injury (Injury Severity Score, ≥16) requiring an interventional procedure at the receiving facility. In developing the model, machine-learning techniques including random forests were used to reduce the number of candidate variables recorded at the initial facility. Of the 5,913 injured older adults initially transported to an NTC before subsequent transfer to a TTC, 32.7% (1,696) had the outcome of interest at the TTC. The final prognostic model (area under the curve, 75.4%; 95% confidence interval, 74-76%) included the following top four predictors and weighted scores: airway intervention (10), traffic-related femur fracture (6), spinal cord injury (5), emergency department Glasgow Coma Scale score of ≤13 (5), and hemodynamic support (4). Bias-corrected and sample validation areas under the curve were 74% and 72%, respectively. A risk score of 7 yields a sensitivity of 78% and specificity of 56%. Secondary triage of injured older adults to TTCs could be enhanced by use of a risk score. Our study is the first to develop a risk stratification tool for injured older adults requiring transfer to a higher level of care. Prognostic and Epidemiolgical; Level III.

Adaptive Risk Modeling: Improving Risk Assessment of Geriatric Hip Fracture Patients Throughout their Hospitalization

IntroductionThe purpose of this study was twofold: 1. To assess how adaptive modeling, accounting for development of inpatient complications, affects the predictive capacity of the risk tool to predict inpatient mortality for a cohort of geriatric hip fracture patients. 2. To compare how risk triaging of secondary outcomes is affected by adaptive modeling. We hypothesize that adaptive modeling will improve the predictive capacity of the model and improve the ability to risk triage secondary outcomes. MethodsBetween October 2014-August 2021, 2421 patients >55 years old treated for hip fracture obtained through low-energy mechanisms were analyzed for demographics, injury details and hospital quality measures. The baseline Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) tool for hip fractures (STTGMAHIP) was calculated in the emergency department setting. A new mortality risk score (STTGMAHIP_ADPTV) was created including inpatient complications. Each models’ predictive ability was compared using DeLong's test. Patients were grouped into quartiles based on their respective STTGMAHIP_ADPTV and comparative analyses were conducted. ResultsAUROC comparison demonstrated STTGMAHIP_ADPTV significantly improved the predictive capacity for inpatient mortality compared to STTGMAHIP (p < 0.01). STTGMAHIP_ADPTV correctly triaged 80% and 64% of high-risk patients with inpatient and 30-day mortality compared to 64% and 57% for STTGMAHIP. STTGMAHIP_ADPTV quartile stratification demonstrated that the highest risk cohort had the worst mortality outcomes and hospital quality measures. Patients whose risk classification changed from minimal risk using STTGMAHIP to high risk using STTGMAHIP_ADPTV experienced the highest rate of mortality, readmission, ICU admission, with longer lengths of stay and higher hospital costs. DiscussionAdaptive modeling accounting for inpatient complications improves the predictive capacity and risk triaging of the STTGMAHIP tool. Real-time modulation of a patient's mortality risk profile can inform their requisite level of medical management to improve the quality and value of care as patients progress through their index hospitalization. STTGMAHIP_ADPTV can better identify patients at risk for developing complications whose mortality and readmission risk profile increase significantly, allowing their new risk classification to inform higher levels of care. While this may increase length of stay and total costs, it may improve outcomes in both the short and long-term. Level of evidenceIII.

Use of reverse shock index times Glasgow coma scale (rSIG) to determine need for transfer of pediatric trauma patients to higher levels of care

IntroductionMost children in the US live more than one hour from a Level 1 PTC. The Need For Trauma Intervention (NFTI) score was developed to assess trauma triage criteria and is dependent on whether someone requires one of six urgent interventions (NFTI+). We sought to determine if a novel scoring tool, rSIG, could predict NFTI and facilitate the transfer decision making process. MethodsChildren 1–18 years old transferred to our level 1 PTC from 2010 - 2020 with complete vital signs and Glasgow Coma Scale (GCS) score at the transferring facility were included. rSIG was calculated as previously described [(SBP/HR) x GCS], and the following cutoffs were used for each age group: ≤13.1, ≤16.5, and ≤20.1 for 1–6, 7–12, and 13–18 years, respectively. Clinical outcomes upon arrival to the PTC were collected to determine if patients met any NTFI criteria. ResultsA total of 456 patients met inclusion criteria. The proportion of patients with an abnormal rSIG was 60.1% (274) and 37.0% (169) were NFTI+. Patients with an abnormal rSIG had an odds ratio of 6.18 (95% CI: 3.90, 10.07), p < 0.001 of being NFTI+ compared to those with a normal rSIG. ConclusionChildren with an abnormal rSIG are more likely to be NFTI+ and require higher levels of care, indicating this scoring tool can identify pediatric trauma patients who may benefit from expedited transfer. Incorporating rSIG into initial evaluation and triage of traumatically injured children may expedite the transfer decision making process and limit delays in transport to a PTC. Type of studyRetrospective Comparative Study Level of evidenceIII

PREHOSPITAL SHOCK INDEX MULTIPLIED BY AVPU SCALE AS A PREDICTOR OF CLINICAL OUTCOMES IN TRAUMATIC INJURY.

Objectives: Many prehospital trauma triage scores have been proposed, but none has emerged as a criterion standard. Therefore, a rapid and accurate tool is necessary for field triage. The shock index (SI) multiplied by the AVPU (Alert, responds to Voice, responds to Pain, Unresponsive) score (SIAVPU) reflected the hemodynamic and neurological conditions through a combination of the SI and AVPU. This study aimed to investigate the prediction performance of SI multiplied by the AVPU and to compare the prediction performance of other prehospital trauma triage scores in a population with traumatic injury. Patients and Methods: This study included 6,156 patients with trauma injury from the Taipei Tzu Chi trauma database. We investigated the accuracy of four scoring systems in predicting mortality, intensive care unit (ICU) admission, and prolonged hospital stay (defined as a duration of hospitalization >14 days). In the subgroup analysis, we also analyzed the effects of age, injury mechanism and severity, underlying diseases, and traumatic brain injury. Results: The predictive accuracy of SIAVPU for mortality, ICU admission, and prolonged hospital stay was significantly higher than that of SI, modified SI, and SI multiplied by age in the traumatic injury population, with an area under the receiver operating characteristic curve of 0.738 for mortality, 0.641 for ICU admission, and 0.606 for prolonged hospital stay. In the subgroup analysis, the prediction accuracy of mortality, ICU admission, and prolonged hospital stay of SIAVPU was also better in patients with younger age, older age, major trauma (Injury Severity Score ≥16), motor vehicle collisions, fall injury, healthy, cardiovascular disease, mixed traumatic brain injury, and isolated traumatic brain injury. The best cutoff levels of SIAVPU score to predict mortality, ICU admission, and total length of stay ≥14 days in trauma injury patients were 0.90, 0.82, and 0.80, with accuracies of 88.56%, 79.84%, and 78.62%, respectively. Conclusions: In conclusion, SIAVPU is a rapid and accurate field triage score with better prediction accuracy for mortality, ICU admission, and prolonged hospital stay than SI, modified SI, and SI multiplied by age in patients with trauma. Patients with SIAVPU ≥0.9 should be considered for the highest-level trauma center available within the geographic constraints of regional trauma systems.

Emergency Department Shock Index Outperforms Prehospital and Delta Shock Indices at Predicting Outcomes of Trauma Patients: An Analysis of the Trauma Quality Improvement Program

INTRODUCTION: Multiple shock indices, including prehospital, emergency department (ED), and Delta (ED shock index [SI] minus prehospital SI), have been developed to predict outcomes. We aimed to compare the predictive abilities of prehospital, ED, and Delta SIs for outcomes of polytrauma patients. METHODS: We analyzed the 2017 to 2018 ACS-TQIP including adult (18 years and older) trauma patients, and excluded patients who were transferred, and those with severe traumatic brain injury (head AIS greater than 3). Prehospital and ED SIs were categorized into 3 groups: SI 0.7 or less, SI less than 0.7 but 0.9 or greater, and SI greater than 0.9, and into 2 groups based on Delta SI less than 0.1 and 0.1 or greater. Outcomes were 24-hour and in-hospital mortality, 24-hour PRBC transfusions, ICU, and hospital length of stay. Predictive performances of SIs were evaluated by AUC-ROC. Paired-sample design was performed to compare AUC (95% CI among SIs for outcomes. RESULTS: A total of 750,407 adult trauma patients were identified. The mean age was 53 ± 21 years, 59% were male, mean prehospital and ED pulse rates were 90 ± 21 and 87 ± 21 bpm, respectively. Overall, 24-hour and in-hospital mortality were 1.2% and 2.5%, respectively. On multivariate analysis, all 3 SIs were independently associated with higher rates of 24-hour mortality, in-hospital mortality, blood product transfusion, and ICU and hospital length of stay (p < 0.001). ED SI was superior to prehospital SI, Delta SI, SBP, and HR alone (p < 0.001) for all outcome measures except for in-hospital length of stay (p > 0.05; Figure).Figure.: ED, emergency department; ISS, Injury Severity Score; LOS, length of stay; SI, shock index.CONCLUSION: All SIs outperformed SBP and HR alone at predicting worse outcomes of trauma patients, but ED SI outperformed both prehospital and Delta SIs across all injury severities. Trauma triage guidelines should prioritize ED SI to identify patients who may benefit from earlier trauma activations.

Rethinking pediatric trauma triage

Despite advances in the delivery of trauma care, trauma remains the leading cause of death amongst the pediatric population within the United States and is one of the leading causes of death in children worldwide. Accurately triaging pediatric trauma patients is essential to minimize preventable mortality without burdening the system by utilizing unnecessary resources. This article will review the accuracy of current pediatric trauma triage practices and how it will evolve in the future including moving away from mechanism of injury towards physiologic scoring tools such as the pediatric age-adjust shock index, and intervention-based systems including. Need for Surgeon Presence and Need For Trauma Intervention. This paper will also present evidence regarding over-utilization of air transport for pediatric trauma patients and the associated unnecessary costs placed on the trauma system.

Comparison of clinical outcomes in cases of blunt, penetrating, and combination trauma in dogs: A VetCOT registry study.

To evaluate outcome (survival to discharge) among trauma types (blunt, penetrating, both) in dogs. The secondary objective was to evaluate if other trauma registry parameters differ between trauma types and influence survival. Retrospective evaluation of veterinary trauma registry data. Veterinary Committee on Trauma (VetCOT) identified Veterinary Trauma Centers (VTCs). A total of 20,289 canine trauma patients with data entered in the VetCOT trauma registry from April 1, 2017 to December 31, 2019 INTERVENTIONS: None. Data were obtained from the VetCOT database and included patient demographics, trauma type (blunt, penetrating, both), Animal Trauma Triage (ATT) score, modified Glasgow Coma Scale (mGCS), abdominal fluid score (AFS), loss of glide sign on thoracic focused assessment with sonography for trauma (TFAST), pleural effusion on TFAST, surgical procedure performed and in what location (emergency room vs operating room), and outcome. Data from 20,289 dogs were collected over a 30-month period. The most common type of trauma was penetrating (10,816, 53.3%), followed by blunt (8360, 41.2%) and then combined blunt and penetrating trauma (1113, 5.5%). Dogs suffering only penetrating trauma had a 96.5% survival rate, blunt trauma had an 89.5% survival rate, and combined trauma had an 86.3% survival rate. Dogs suffering from both types of trauma had higher ATT scores, lower mGCS scores, and were more likely to be admitted to the ICU. Trauma type, mGCS, and ATT score were found to be associated with survival. The present study highlights that dogs suffering from a combination of blunt and penetrating trauma are more likely to suffer moderate to severe injuries, have lower survival rates, and are more likely to be admitted to the ICU compared to dogs suffering from only blunt or penetrating trauma.Trauma type, mGCS, and ATT scores were found to be associated with survival in all groups.

Prehospital triage tools in major trauma: a critical appraisal of a systematic review.

Effective triage is critical to ensure patients suffering major trauma are identified and access a pathway to definitive major trauma care, typically provided in a major trauma centre as part of an established major trauma system. The pre-hospital triage of trauma patients often relies upon the use of major trauma triage tools; this commentary critically appraises a recent systematic review which sought to evaluate and compare the accuracy of pre-hospital triage tools for major trauma.

Pediatric Injury Transfer Patterns During the COVID-19 Pandemic: An Interrupted time Series Analysis

IntroductionWith the expected surge of adult patients with COVID-19, the Children's Hospital Association recommended a tiered approach to divert children to pediatric centers. Our objective was understanding changes in interfacility transfer to Pediatric Trauma Centers (PTCs) during the first 6 mo of the pandemic. MethodsChildren aged < 18 y injured between January 1, 2016 and September 30, 2020, who met National Trauma Databank inclusion criteria from 9 PTCs were included. An interrupted time-series analysis was used to estimate an expected number of transferred patients compared to observed volume. The “COVID” cohort was compared to a historical cohort (historical average [HA]), using an average across 2016-2019. Site-based differences in transfer volume, demographics, injury characteristics, and hospital-based outcomes were compared between cohorts. ResultsTwenty seven thousand thirty one/47,382 injured patients (57.05%) were transferred to a participating PTC during the study period. Of the COVID cohort, 65.4% (4620/7067) were transferred, compared to 55.7% (3281/5888) of the HA (P < 0.001). There was a decrease in 15-y-old to 17-y-old patients (10.43% COVID versus 12.64% HA, P = 0.003). More patients in the COVID cohort had injury severity scores ≤ 15 (93.25% COVID versus 87.63% HA, P < 0.001). More patients were discharged home after transfer (31.80% COVID versus 21.83% HA, P < 0.001). ConclusionsTransferred trauma patients to Level I PTC increased during the COVID-19 pandemic. The proportion of transferred patients discharged from emergency departments increased. Pediatric trauma transfers may be a surrogate for referring emergency department capacity and resources and a measure of pediatric trauma triage capability.

Clinical parameters at time of admission as prognostic indicators in cats presented for trauma to an emergency centre in New Zealand: a retrospective analysis.

The aims of this study were to describe the clinical features of cats presented for trauma in a first-opinion and referral teaching hospital in New Zealand, and to determine the relationship between those features and outcome. The electronic medical records of cats presented for trauma to the Massey University Pet Emergency Centre between September 2013 and January 2019 were examined, from which the signalment, clinical parameters and patient outcomes were extracted. Cases were assigned an Animal Trauma Triage (ATT) score and Modified Glasgow Coma Scale (MGCS) score. Variables were selected for inclusion in a logistic regression model to predict survival, and backward elimination was used to find the minimal significant model. In total, 530 cats met the inclusion criteria. The cause of injury was not known in the majority of cases (38.0%). The most common location of injury was the hindlimbs/pelvis/tail (n = 247; 41%), and skin lacerations/abrasions were the most common specific injury. Multivariate analysis revealed altered mentation (odds ratio [OR] 0.31, P = 0.029), hypothermia (rectal temperature <37.8°C [<100.04°F]; OR 0.45, P = 0.015) and an ATT score ⩾5 (OR 0.13, P <0.001) to be statistically significantly associated with mortality. Altered mentation and hypothermia are easily measurable perfusion parameter abnormalities associated with mortality in cats presenting with trauma. The ATT score appears to be an accurate prognostic indicator in cats presenting with trauma in New Zealand. These results highlight the importance of incorporating a hands-on triage examination in each cat that presents as an emergency after trauma.

Advanced Automatic Crash Notification Algorithm for Children.

Advanced automatic crash notification (AACN) can improve triage decision-making by using vehicle telemetry to alert first responders of a motor vehicle crash and estimate an occupant's likelihood of injury. The objective was to develop an AACN algorithm to predict the risk that a pediatric occupant is seriously injured and requires treatment at a Level I or II trauma center. Based on 3 injury facets (severity; time sensitivity; predictability), a list of Target Injuries associated with a child's need for Level I/II trauma center treatment was determined. Multivariable logistic regression of motor vehicle crash occupants was performed creating the pediatric-specific AACN algorithm to predict risk of sustaining a Target Injury. Algorithm inputs included: delta-v, rollover quarter-turns, belt status, multiple impacts, airbag deployment, and age. The algorithm was optimized to achieve under-triage ≤5% and over-triage ≤50%. Societal benefits were assessed by comparing correctly triaged motor vehicle crash occupants using the AACN algorithm against real-world decisions. The pediatric AACN algorithm achieved 25% to 49% over-triage across crash modes, and under-triage rates of 2% for far-side, 3% for frontal and near-side, 8% for rear, and 14% for rollover crashes. Applied to real-world motor vehicle crashes, improvements of 59% in under-triage and 45% in over-triage are estimated: more appropriate triage of 32,320 pediatric occupants annually. This AACN algorithm accounts for pediatric developmental stage and will aid emergency personnel in correctly triaging pediatric occupants after a motor vehicle crash. Once incorporated into the trauma triage network, it will increase triage efficiency and improve patient outcomes.

Intervention rates are low after direct discharge from the Edinburgh trauma triage clinic: Outcomes of 6,688 patients

AimThe Edinburgh Trauma Triage clinic (TTC) is an established form of Virtual Fracture clinic (VFC) that permits the direct discharge of simple, isolated fractures from the Emergency Department (ED). Small, short-term cohort studies of similar systems have been published, but to detect low rates of complications requires a large study sample and longer-term follow-up. This study details the outcomes of all patients with injuries suitable for a direct discharge protocol over a four-year period, reviewed at a minimum of three years after attendance. PatientsAll TTC records between February 2014 and December 2017 were collated from a prospective database. Fractures of the radial head, little finger metacarpal, fifth metatarsal, toe phalanges and mallet finger injuries were included. TTC outcome, including any deviations from a well-established direct discharge protocol, were noted. All records were re-assessed at a minimum of 36 months after TTC triage (mean 54 months) to ascertain which injuries attended the trauma clinic after initial discharge. Reasons for attendance, the source of referral and any subsequent surgical procedures were identified. ResultsThere were 6688 patients with fractures of the radial head (1861), little finger metacarpal (1621), fifth metatarsal (1916), toe phalanges (920) and mallet finger injuries (370). 298 (6%) patients were re-referred after direct discharge and attended trauma clinic at a mean time after injury of 11.9 weeks, of whom 11 (0.2%) underwent a surgical intervention. Serious adverse events, defined as those in which a patient may not have come to harm if early clinical review had been undertaken, occurred in 1 patient (0.01%). ConclusionIntervention after direct discharge of simple pre-defined injuries of the elbow, hand and foot is low. Within a TTC system, patients with these injuries can be safely discharged without routine follow-up.

Undertriage of Geriatric Trauma Patients in Florida

IntroductionElderly undertriage rates are estimated up to 55% in the United States. This study examined risk factors for undertriage among hospitalized trauma patients in a state with high volumes of geriatric trauma patients. Materials and methodsThis is a population–based retrospective cohort study of 62,557 patients admitted to Florida hospitals between 2016 and 2018 from the Agency for Healthcare Administration database. Severely injured trauma patients were defined by American College of Surgeons definitions and an International Classification of Disease Injury Severity Score <0.85. Undertriage was defined as definitive care of these severely injured patients at any Florida hospital other than a state-designated trauma center (TC). Univariate analyses were used to identify risk factors associated with inpatient mortality and undertriage. Multiple variable regression was used to estimate risk-adjusted odds of mortality after admission to either a designated or nondesignated TC. ResultsUndertriaged patients were more likely to have isolated traumatic brain injuries, lower International Classification of Disease Injury Severity Scores, multiple comorbidities, and older age. Trauma patients aged 65 and older were more than twice as likely to be undertriaged (34% versus 15.7%, P < 0.0001). Undertriaged patients of all ages were also more likely to suffer from pneumonia, urinary tract infection, arrhythmias, and sepsis. After risk adjustment, severely injured trauma patients admitted to non-TC were also more likely to be at risk for mortality (adjusted odds ratio, 1.27; 95% confidence interval, 1.17-1.38). ConclusionsAge and multiple comorbidities are significant predictors of mortality among undertriage of trauma patients. As a result, trauma triage guidelines should account for high-risk geriatric trauma patients who would benefit from definitive treatment at designated TCs.

The Role of Smoking and Body Mass Index in Mortality Risk Assessment for Geriatric Hip Fracture Patients.

BackgroundSmoking, obesity, and being below a healthy body weight are known to increase all-cause mortality rates and are considered modifiable risk factors. The purpose of this study is to assess whether adding these risk factors to a validated geriatric inpatient mortality risk tool will improve the predictive capacity for hip fracture patients. We hypothesize that the predictive capacity of the Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) tool will improve.MethodologyBetween October 2014 and August 2021, 2,421 patients >55-years-old treated for hip fractures caused by low-energy mechanisms were analyzed for demographics, injury details, hospital quality measures, and mortality. Smoking status was recorded as a current every-day smoker, former smoker, or never smoker. Smokers (current and former) were compared to non-smokers (never smokers). Body mass index (BMI) was defined as underweight (<18.5 kg/m2), healthy weight (18.5-24.9 kg/m2), overweight (25.0-24.9 kg/m2), or obese (>30 kg/m2). The baseline STTGMA tool for hip fractures (STTGMAHIP_FX_SCORE) was modified to include patients’ BMI and smoking status (STTGMA_MODIFIABLE), and new mortality risk scores were calculated. Each model’s predictive ability was compared using DeLong’s test by analyzing the area under the receiver operating curves (AUROCs). Comparative analyses were conducted on each risk quartile.ResultsA comparison of smokers versus non-smokers demonstrated that smokers experienced higher rates of inpatient (p = 0.025) and 30-day (p = 0.048) mortality, myocardial infarction (p < 0.01), acute respiratory failure (p < 0.01), and a longer length of stay (p = 0.014). Comparison among BMI cohorts demonstrated that underweight patients experienced higher rates of pneumonia (p = 0.033), decubitus ulcers (p = 0.046), and the need for an intensive care unit (ICU) (p < 0.01). AUROC comparison demonstrated that STTGMA_MODIFIABLE significantly improved the predictive capacity for inpatient mortality compared to STTGMAHIP_FX_SCORE (0.792 vs. 0.672, p = 0.0445). Quartile stratification demonstrated the highest risk cohort had a longer length of stay (p < 0.01), higher rates of inpatient (p < 0.01) and 30-day mortality (p < 0.01), and need for an ICU (p < 0.01) compared to the minimal risk cohort. Patients in the lowest risk quartile were most likely to be discharged home (p < 0.01).ConclusionsSmoking, obesity, and being below a healthy body weight increase the risk of perioperative complications and poor outcomes. Including smoking and BMI improves the STTGMAHIP_FX_SCORE tool to predict mortality and risk stratify patient outcomes. Because smoking, obesity, and being below a healthy body weight are modifiable patient factors, providers can counsel patients and implement lifestyle changes to potentially decrease their risk of longer-term poor outcomes, especially in the setting of another fracture. For patients who are former smokers, providers can use this information to encourage continued restraint and healthy choices.

Seasonality Affects Elderly Hip Fracture Mortality Risk During the COVID-19 Pandemic.

BackgroundThe incidence of geriatric hip fractures, respiratory infections (e.g., coronavirus disease 2019 (COVID-19), influenza), and mortality is higher during the fall and winter. The purpose of this study is to assess whether the addition of seasonality to a validated geriatric inpatient mortality risk tool will improve the predictive capacity and risk stratification for geriatric hip fracture patients. We hypothesize that seasonality will improve the predictive capacity.MethodologyBetween October 2014 and August 2021, 2,421 patients >55-year-old treated for hip fracture were analyzed for demographics, date of presentation, COVID-19 status (for patients after February 2020), and mortality. Patients were grouped by season based on their admission dates into the following four cohorts: fall (September-November), winter (December-February), spring (March-May), and summer (June-August). Patients presenting during the fall/winter and spring/summer were compared. The baseline Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) tool for hip fractures (STTGMAHIP_FX_SCORE) and the seasonality iteration (STTGMA_SEASON) were also compared. Sub-analysis was conducted on 687 patients between February 2020 and August 2021 amid the COVID-19 pandemic. The baseline score (STTGMAHIP_FX_SCORE) and the COVID-19 iteration (STTGMACOVID_ORIGINAL_2020) were modified to include seasonality (STTGMA_COVID/SEASON). Patients were stratified by risk score and compared. The predictive ability of the models was compared using DeLong’s test.ResultsFor the overall cohort, patients who presented during the fall/winter had a higher rate of inpatient mortality (2.87% vs. 1.25%, p < 0.01). STTGMA_SEASON improved the predictive capacity for inpatient mortality compared to STTGMAHIP_FX_SCORE but not significantly (0.773 vs. 0.672, p = 0.105) On sub-analysis, regression weighting showed a coefficient of 0.643, with fall and winter having a greater absolute effect size (fall = 2.572, winter = 1.929, spring = 1.286, summer = 0.643). STTGMA_COVID/SEASON improved the predictive capacity for inpatient mortality compared to STTGMAHIP_FX_SCORE (0.882 vs. 0.581, p < 0.01) and STTGMACOVID_ORIGINAL_2020 (0.882 vs. 0.805, p = 0.04). The highest risk quartile contained 89.5% of patients who expired during their index inpatient hospitalization (p < 0.01) and 68.2% of patients who died within 30 days of discharge (p < 0.01).ConclusionsSeasonality may play a role in both the incidence and impact of COVID-19 and additional respiratory infections. Including seasonality improves the predictive capacity and risk stratification of the STTGMA tool during the COVID-19 pandemic. This allows for effective triage and closer surveillance of high-risk geriatric hip fracture patients by better accounting for the increased respiratory infection incidence and the associated mortality risk seen during fall and winter.

Accuracy of Prehospital Trauma Triage to Select Older Adults Requiring Urgent and Specialized Trauma Care

This study aims to assess the sensitivity and specificity of a 5-step prehospital trauma triage protocol to identify older adults who require urgent and specialized trauma care using different age cut-offs to define an older adult (≥55, ≥65, and≥75y old). Prehospital and in-hospital medical records were reviewed for injured patients transported by an ambulance to an emergency department (ED) between November 11, 2016 and March 3, 2017 in Quebec City, Canada. Sensitivities and specificities were calculated to assess the accuracy of our prehospital trauma triage protocol to identify patients who required at least one urgent in-hospital trauma intervention. A total of 822 patients were included of which 62.9% were ≥55y old and 56.3% were female. Fall (65.8%) was the main trauma mechanism. Seventy-six (9.2%) patients required urgent trauma care. This proportion was similar regardless of age (8.9%-9.5%). The proportion of patients who needed to be transported to the level-1 trauma center as per the triage protocol tended to decrease with increasing age (20.6% [whole cohort], 15.3% [≥55 y old], 11.4% [≥65 y old], and 9.0% [≥75y old]). The sensitivity of the protocol for steps 1, 2, and 3 was 56.6% (whole cohort) and 30.0% for patients aged ≥75y. The specificity ranged between 83.1% (whole cohort) and 93.1% (≥75y old). Our prehospital trauma triage protocol has insufficient sensitivity to identify patients with urgent trauma care needs, particularly in older adults.

The effects of sex and neuter status on trauma survival in dogs: A Veterinary Committee on Trauma registry study.

To determine the effect of sex and neuter status on trauma survival in dogs. Multi-institutional prospective case series, September 2013 to March 2019, retrospectively analyzed. Level I and II Veterinary Trauma Centers. Consecutive sample of 2649 dogs in the American College of Veterinary Emergency and Critical Care Veterinary Committee on Trauma patient registry meeting inclusion criteria. For inclusion, dogs had to have complete data entries, be postpubertal (≥7 months age in females and ≥10 months age in males), and have sustained moderate to severe trauma (animal trauma triage [ATT] score ≥5/18). Dogs that were dead upon arrival, euthanized for financial or unknown reasons alone, or that were presented by a Good Samaritan but subsequently humanely euthanized were excluded. Data collected included age, sex, neuter status (intact, neutered), trauma type (blunt, penetrating, both), outcome (survived to hospital discharge, died, euthanized), and reason for euthanasia (grave prognosis, financial reasons, or both). Of 2649 eligible dogs, 56% survived to hospital discharge (n=1469). Neutered females had a significantly higher survival rate (58.3% vs 51.3%; P=0.03) compared to intact females, and neutered males had a significantly higher survival rate (56.6% vs 50.7%; P=0.04) compared to intact males. There was no significant difference in survival between intact females and intact males (P=0.87) or between neutered females and neutered males (P=0.46). Mean cumulative ATT score was higher in intact groups and was found to be a significant predictor of survival (P<0.01). Based on logistic models, overall odds of survival were 20.7% greater in neutered dogs. Gonadectomy is associated with lower ATT scores and improved survival after moderate to severe trauma in both female and male dogs.

The introduction of the trauma triage clinic at a district general hospital: safety and efficacy during the first year of implementation.

Previously published work has shown that there are no missed injuries following the introduction of a trauma triage clinic (TTC). This study aimed to assess both the safety and efficacy of the TTC model in a district general hospital in the United Kingdom. We aimed to assess the rate of missed 'high-risk' injuries, including posterior shoulder dislocations, talar injuries, Lisfranc injuries and complex carpal instability. Data were collected retrospectively between November 2017 and October 2018 (inclusive). During this time, 3,721 patients were reviewed (mean age 38 years, SD 25.5, range 1-103 years). Case notes and x-rays were reviewed for all patients. Compliance was assessed against British Orthopaedic Association Standards for Trauma (BOAST 7) guidelines for fracture clinic services. The standard for adherence to guidelines was 100%. Thirty-two of 3,721 patients had a missed injury during the study period, and 66% of these injuries were high risk. TTC was effective in reducing the number of patients seen in the fracture clinic, with 23% of patients discharged directly from the TTC. Eighty-nine per cent of patients were reviewed in clinic within 72 hours of presentation, with a median time to review of 2 days. This study has shown that TTC is efficient in reducing the burden of patients seen in the fracture clinic, but it is not as safe as reported previously. Although the prevalence of missed injuries is low, hospitals introducing a TTC model should consider departmental processes to help accurately identify and triage high-risk injuries.