Outcomes of Injured Patients Before and After the Institution of a Third-Tier Activation at a Level 1 Trauma Center.

BACKGROUND: We hypothesized that the addition of a third-level trauma activation would improve outcomes by formalizing an evaluation process for patients in need of urgent evaluation who did not meet the criteria for full or partial trauma alert activation. METHODS: Admission records for all trauma patients admitted between 2000 and 2021 were obtained. The gamma alert trauma activation was implemented in 2011. A washout period of 6 months was used to account for adjustment to the new protocol. Propensity score matching was performed based on ISS scores, age, injury mechanism, and best-validated comorbidities to create a balanced patient distribution. Patients with missing data were excluded from this study. The association between era and outcomes was determined using logistic and linear regression analyses. RESULTS: The matched cohort was well balanced (SMD <.1, all balanced covariates) and included 18,572 patients. Patients in the gamma alert era had decreased ED dwell time, hospital length of stay, and intensive care unit (ICU) length of stay. Readmission rates and rates of upgrade to ICU status were reduced in the gamma alert era. This era was also associated with lower rates of renal failure, UTI, and pneumonia. There was no significant difference in mortality following implementation of the gamma alert. DISCUSSION: Implementation of the gamma alert was associated with an improvement in ED dwell times, fewer unplanned admissions to the ICU, decreased readmissions, and a reduction in other in-hospital events. We believe that this reflects improved triage of patients to the ICU and more effective care of trauma patients.

Interest of the MGAP score on in-hospital trauma patients: Comparison with TRISS, ISS and NISS scores.

Trauma scoring systems were created to predict mortality and enhance triage capabilities. However, efficacy of scoring systems to predict mortality and accuracy of originally reported severity thresholds remains uncertain. A single-center, retrospective study was conducted at University of Virginia (UVA), an American College of Surgeons verified Level I trauma center. We compared four scoring systems: MGAP (Mechanism, Glasgow Coma Scale, Age, and arterial pressure), Injury Severity Score (ISS), New Injury Severity Score (NISS), and Trauma Related Injury Severity Score (TRISS) to predict in-hospital mortality and disposition from the emergency department to higher acuity level of care including mortality (i.e. operating room, intensive care unit, morgue) versus standard floor admission using area under the curve (AUC) for receiver operating characteristic analysis. Second, we examined sensitivity of these scores at standard thresholds to determine if adjustments were needed to minimize under-triage (sensitivity ≥95%). TRISS was the best predictor of mortality in a cohort of n = 16,265 with AUC of 0.920 (95% CI: 0.911-0.929, p<0.0001), followed by MGAP with AUC of 0.900 (95% CI: 0.889-0.911, p<0.0001), and finally ISS and NISS (0.830 (95% CI: 0.814-0.847) and 0.827 (95% CI: 0.809-0.844) respectively). NISS was the best predictor of high acuity disposition with an AUC of 0.729 (95% CI: 0.721-0.736, p<0.0001), followed by ISS with AUC of 0.714 (95% CI: 0.707-0.722, p<0.0001), and finally TRISS and MGAP (0.673 (95% CI: 0.665-0.682) and 0.613 (95% CI: 0.604-0.621) respectively (p<0.0001). At historic thresholds, no scoring system displayed adequate sensitivity to predict mortality, with values ranging from 73% for ISS to 80% for NISS. In conclusion, in the reported study cohort, TRISS was the best predictor of mortality while NISS was the best predictor of high acuity disposition. We also stress updating scoring system thresholds to achieve ideal sensitivity, and investigating how scoring systems derived to predict mortality perform when predicting indicators of morbidity such as disposition from the emergency department.

Relative Mortality Analysis Of The "Golden Hour": A Comprehensive Acuity Stratification Approach To Address Disagreement In Current Literature.

OBJECTIVE: This study sought to address the disagreement in literature regarding the "golden hour" in trauma by using the Relative Mortality Analysis to overcome previous studies' limitations in accounting for acuity when evaluating the impact of prehospital time on mortality. METHODS: The previous studies that failed to support the "golden hour" suffered from limitations in their efforts to account for the confounding effects of patient acuity on the relationship between prehospital time and mortality in their trauma populations. The Relative Mortality Analysis was designed to directly address these limitations using a novel acuity stratification approach, based on patients' probability of survival (PoS), a comprehensive triage metric calculated using Trauma and Injury Severity Score methodology. For this analysis, the population selection and analysis methods of these previous studies were compared to the Relative Mortality Analysis on how they capture the relationship between prehospital time and mortality in the University of Virginia (UVA) Trauma Center population. RESULTS: The methods of the previous studies that failed to support the "golden hour" also failed to do so when applied to the UVA Trauma Center population. However, when applied to the same population, the Relative Mortality Analysis identified a subgroup, 9.9% (with a PoS 23%-91%), of the 5,063 patient population with significantly lower mortality when transported to the hospital within 1 hour, supporting the "golden hour." CONCLUSION: These results suggest that previous studies failed to support the "golden hour" not due to a lack of patients significantly impacted by prehospital time within their trauma populations, but instead due to limitations in their efforts to account for patient acuity. As a result, these studies inappropriately rejected the "golden hour," leading to the current disagreement in literature regarding the relationship between prehospital time and trauma patient mortality. The Relative Mortality Analysis was shown to overcome the limitations of these studies and demonstrated that the "golden hour" was significant for patients who were not low acuity (PoS >91%) or severely high acuity (PoS <23%).

Preparation and response to a targeted automobile ramming mass casualty (TARMAC) attack: An analysis of the 2017 Charlottesville, Virginia TARMAC attack.

Targeted automobile ramming mass casualty (TARMAC) attacks have recently become a common modality for those wishing to inflict mass harm. Intentional vehicular ramming is a unique wounding mechanism and deserves special consideration. An emergency response case analysis of the 2017 TARMAC attack in Charlottesville was conducted to review preparedness and identify shortcomings at the University of Virginia Health System University Hospital. Intentional mass blunt trauma is unique to TARMAC events, and current all-hazards approach preparedness may not suffice. TARMAC attacks warrant further attention by disaster medicine specialists; with adequate data, researchers may identify injury patterns and "lessons learned" that may improve mitigation strategies, provider preparation, and overall emergency care.

Outcomes after Falls Continue to Worsen Despite Trauma and Geriatric Care Advancements.

The most common mechanism of traumatic injury is ground-level fall. The objective of this study was to understand how patients sustaining falls and their outcomes have evolved. An institutional trauma database was used to identify adult patients who suffered a fall and were admitted to a Level I trauma center during two distinct time periods: 1998 to 2003 (past) and 2008 to 2013 (current). Data on anticoagulant use and comorbidities was gathered by retrospective chart review of patients treated during 2003 and 2013. Univariable analyses and multivariable regression were used to evaluate demographics and outcomes. A total of 6116 patients were identified, with a 24 per cent increase in number of falls between groups. Current fall patients are older (70 vs 66 years, P < 0.001), more often admitted to intensive care (28 vs 12%, P < 0.001), have longer lengths of stay (5 vs 4 days, P < 0.001), are frequently discharged to skilled nursing facilities (24 vs 8%, P < 0.001), and have higher mortality (5 vs 3%, P = 0.002). The adjusted odds of mortality for patients treated during 2003 and 2013 was associated with age, gender, injury severity score, and Glasgow Coma Scale score. Current fall patients use more health care resources and have worse outcomes, despite advances in trauma and geriatric care.

External validation in an intermediate unit of a respiratory decompensation model trained in an intensive care unit.

BACKGROUND: Preventing urgent intubation and upgrade in level of care in patients with subclinical deterioration could be of great utility in hospitalized patients. Early detection should result in decreased mortality, duration of stay, and/or resource use. The goal of this study was to externally validate a previously developed, vital sign-based, intensive care unit, respiratory instability model on a separate population, intermediate care patients. METHODS: From May 2014 to May 2016, the model calculated relative risk of adverse events every 15 minutes (n = 373,271 observations) for 2,050 patients in a surgical intermediate care unit. RESULTS: We identified 167 upgrades and 57 intubations. The performance of the model for predicting upgrades within 12 hours was highly significant with an area under the curve of 0.693 (95% confidence interval, 0.658-0.724). The model was well calibrated with relative risks in the highest and lowest deciles of 2.99 and 0.45, respectively (a 6.6-fold increase). The model was effective at predicting intubation, with a demonstrated area under the curve within 12 hours of the event of 0.748 (95% confidence interval, 0.685-0.800). The highest and lowest deciles of observed relative risk were 3.91 and 0.39, respectively (a 10.1-fold increase). Univariate analysis of vital signs showed that transfer upgrades were associated, in order of importance, with rising respiration rate, rising heart rate, and falling pulse-oxygen saturation level. CONCLUSION: The respiratory instability model developed previously is valid in intermediate care patients to predict both urgent intubations and requirements for upgrade in level of care to an intensive care unit.

Analysis of Profit and Loss by Injury Severity over 20 Years at a University Level I Trauma Center.

We examined financial data from a University Level I Trauma Center from 1994 to 2014. We sought to investigate the hypothesis that lower injury severity correlates with increased profitability. We examined data from July 1994 to December 2014. This included hospital charges, Medicare cost data, final reimbursement, and payor source. Patients were separated into Injury Severity Score (ISS) groupings: 0 to 9, 10 to 14, 15 to 24, >24, and >14. Mean and standard deviation of mean are reported. We had complete data on 27,582 patients. Overall profit per case when subtracting costs from reimbursements was $1,932/case (total profit in unadjusted dollars = $53,475,828 or $2,673,791/year). When examined by ISS, profitability was significantly different between ISS 0 to 14 and 15 to 24, and > 24. When charge data were examined, the average loss per case was -$31,313 for the 27,582 patient data set. When using cost, and not charge data, overall trauma care had a positive margin. Severely injured patients (ISS > 14) were the most profitable, with a significantly higher profit per case than all other groupings. Only through examination of cost data can realistic determinations of trauma center profitability be made. If only charge data had been examined in this study, the overall loss from the 20-year period would have been $863,675,166 and not a profit of $53,475,828.

Trauma Survival Margin Analysis: A Dissection of Trauma Center Performance through Initial Lactate.

Measurement of trauma center performance presently relies on W-score calculation and comparison to national data sets. A limitation to this practice is a skewing of the W score, as it determines overall performance of a trauma population that is often heavily weighted by patients of low acuity. The University of Virginia relative mortality metric (RMM) was formulated to provide higher resolution in identifying areas of performance improvement within subpopulations of a trauma center using traditional Trauma Injury Severity Score methodology. Lactic acidosis has been established as a risk factor for mortality in the setting of trauma. This study aims to compare survival margin, defined as the area between actual and predicted mortality curves, in patients with either normal or elevated initial lactate. W score and RMM were calculated and compared in these cohorts. Whereas the W score suggested increased survival within the high initial lactate group, the RMM demonstrated the expected finding of increased survival margin in the normal lactate cohort. The RMM is a potentially valuable tool for trauma centers to monitor and improve performance. In addition, these findings validate the use of lactate as a triage and risk adjustment tool in the trauma setting.

Mortality factors in geriatric blunt trauma patients: creation of a highly predictive statistical model for mortality using 50,765 consecutive elderly trauma admissions from the National Sample Project.

Elderly patients are at high risk for mortality after injury. We hypothesized that trauma benchmarking efforts would benefit from development of a geriatric-specific model for risk-adjusted analyses of trauma center outcomes. A total of 57,973 records of elderly patients (age older than 65 years), which met our selection criteria, were submitted to the National Trauma Database and included within the National Sample Project between 2003 and 2006. These cases were used to construct a multivariable logistic regression model, which was compared with the American College of Surgeons Committee on Trauma's Trauma Quality Improvement Project's (TQIP) existing model. Additional spline regression analyses were performed to further objectively quantify the physiologic differences between geriatric patients and their younger counterparts. The geriatric-specific and TQIP mortality models shared several covariates: age, Injury Severity Score, motor component of the Glasgow Coma Scale, and systolic blood pressure. Our model additionally used temperature and the presence of mechanical ventilation. Our geriatric-specific regression mode generated a superior c-statistic as compared with the TQIP approximation (0.85 vs 0.77; P = 0.048). Spline analyses demonstrated that elderly patients appear to be less likely to tolerate relative hypotension with higher observed mortality at initial systolic blood pressures of 90 to 130 mmHg. Although the TQIP model includes a single age component, these data suggest that each variable needs to be adjusted for age to more accurately predict mortality in the elderly. Clearly, a separate geriatric model for predicting outcomes is not only warranted, but necessary.

The effect of dead-on-arrival and emergency department death classification on risk-adjusted performance in the American College of Surgeons Trauma Quality Improvement Program.

BACKGROUND: The American College of Surgeons' Trauma Quality Improvement Program is focused on identifying variations in outcomes across trauma centers for the purposes of performance improvement. In previous analyses, patients who died in the emergency department were excluded. We investigated the effect of inclusion and exclusion of emergency department (ED) deaths (dead on arrival [DOA] and died in ED [DIE]) on analyses of overall risk-adjusted trauma center performance. METHODS: Data for patients admitted to 65 Trauma Quality Improvement Program hospitals during the 2009 calendar year was used. A logistic regression model was developed to estimate risk-adjusted mortality. Trauma centers were then ranked based on their observed-to-expected (O/E) mortality ratio with 90% confidence intervals (CIs) and classified by outlier status: low outliers/high performers had a 90% CI for O/E mortality ratio of less than 1, and high outliers/low performers had a 90% CI for O/E mortality ratio of greater than 1. Changes in outlier status, rank, and quartile were examined with and without DOA and DIE patients included in the analyses to discern the impact of such exclusions on overall risk-adjusted center-specific performance. RESULTS: Thirty-one trauma centers (48%) reported no DOA patients in 2009, while 6 centers (9%) reported more than 10. Of 224 patients, 14 (6.2%) had a documented time of death of more than 30 minutes after ED arrival despite being recorded as DOA. Forty-one trauma centers (63%) changed rank by three positions or less. Ten trauma centers changed their quartile ranking by a single quartile, but no centers were found to change quartile rank more than one quartile. Changes in outlier status occurred for 6 trauma centers (9%). CONCLUSION: The relative frequency of patients classified as DOA varies greatly between trauma centers. Misclassification of patients as DOA occurs. Inclusion of ED deaths in risk-adjusted analysis of mortality results in a small but insignificant change in predicting the outcome results of a trauma center. This change is less than the rate of finding a center to be a high or low outlier by chance alone using the 90% CI. Inclusion of DOA and DIE patients in risk-adjusted analysis of mortality is appropriate and eliminates the bias introduced by exclusion of ED deaths owing to misuse of the DOA classification. LEVEL OF EVIDENCE: Prognostic/epidemiologic study, level III.

Burn-center quality improvement: are burn outcomes dependent on admitting facilities and is there a volume-outcome "sweet-spot"?

Risk factors of mortality in burn patients such as inhalation injury, patient age, and percent of total body surface area (%TBSA) burned have been identified in previous publications. However, little is known about the variability of mortality outcomes between burn centers and whether the admitting facilities or facility volumes can be recognized as predictors of mortality. De-identified data from 87,665 acute burn observations obtained from the National Burn Repository between 2003 and 2007 were used to estimate a multivariable logistic regression model that could predict patient mortality with reference to the admitting burn facility/facility volume, adjusted for differences in age, inhalation injury, %TBSA burned, and an additional factor, percent full thickness burn (%FTB). As previously reported, all three covariates (%TBSA burned, inhalation injury, and age) were found to be highly statistically significant risk factors of mortality in burn patients (P value < 0.0001). The additional variable, %FTB, was also found to be a statistically significant determinant, although it did not greatly improve the multivariable model. The treatment/admitting facility was found to be an independent mortality predictor, with certain hospitals having increased odds of death and others showing a protective effect (decreased odds ratio). Hospitals with high burn volumes had the highest risk of mortality. Mortality outcomes of patients with similar risk factors (%TBSA burned, inhalation injury, age, and %FTB) are significantly affected by the treating facility and their admission volumes.

Severe traumatic head injury affects systemic cytokine expression.

BACKGROUND: The neuroimmunologic effect of traumatic head injury remains ill-defined. This study aimed to characterize systemic cytokine profiles among traumatically injured patients to assess the effect of traumatic head injury on the systemic inflammatory response. STUDY DESIGN: For 5 years, 1,022 patients were evaluated from a multi-institutional Trauma Immunomodulatory Database. Patients were stratified by presence of severe head injury (SHI; head Injury Severity Score ≥4, n = 335) vs nonsevere head injury (NHI; head Injury Severity Score ≤3, n = 687). Systemic cytokine expression was quantified by ELISA within 72 hours of admission. Patient factors, outcomes, and cytokine profiles were compared by univariate analyses. RESULTS: SHI patients were more severely injured with higher mortality, despite similar ICU infection and ventilator-associated pneumonia rates. Expression of early proinflammatory cytokines, interleukin-6 (p < 0.001) and tumor necrosis factor-α (p = 0.02), was higher among NHI patients, and expression of immunomodulatory cytokines, interferon-γ (p = 0.01) and interleukin-12 (p = 0.003), was higher in SHI patients. High tumor necrosis factor-α levels in NHI patients were associated with mortality (p = 0.01), increased mechanical ventilation (p = 0.02), and development of ventilator-associated pneumonia (p = 0.01). Alternatively, among SHI patients, high interleukin-2 levels were associated with survival, decreased mechanical ventilation, and absence of ventilator-associated pneumonia. CONCLUSIONS: The presence of severe traumatic head injury significantly alters systemic cytokine expression and exerts an immunomodulatory effect. Early recognition of these profiles can allow for targeted intervention to reduce patient morbidity and mortality.

What is the safety of nonemergent operative procedures performed at night? A study of 10,426 operations at an academic tertiary care hospital using the American College of Surgeons national surgical quality program improvement database.

BACKGROUND: Ever-increasing numbers of in-house acute care surgeons and competition for operating room time during normal daytime business hours have led to an increased frequency of nonemergent general and vascular surgery procedures occurring at night when there are fewer residents, consultants, nurses, and support staff available for assistance. This investigation tests the hypothesis that patients undergoing such procedures after hours are at increased risk for postoperative morbidity and mortality. METHODS: Clinical data for 10,426 operative procedures performed over a 5-year period at a single academic tertiary care hospital were obtained from the American College of Surgeons National Surgical Quality Improvement Program Database. The prevalence of preoperative comorbid conditions, postoperative length of stay, morbidity, and mortality was compared between two cohorts of patients: one who underwent nonemergent operative procedures at night and other who underwent similar procedures during the day. Subsequent statistical comparisons utilized chi tests for comparisons of categorical variables and F-tests for continuous variables. RESULTS: Patients undergoing procedures at night had a greater prevalence of serious preoperative comorbid conditions. Procedure complexity as measured by relative value unit did not differ between groups, but length of stay was longer after night procedures (7.8 days vs. 4.3 days, p < 0.0001). CONCLUSIONS: Patients undergoing nonemergent general and vascular surgery procedures at night in an academic medical center do not seem to be at increased risk for postoperative morbidity or mortality. Performing nonemergent procedures at night seems to be a safe solution for daytime overcrowding of operating rooms.

The use of "war games" to enhance high-risk clinical decision-making in students and residents.

BACKGROUND: Initial studies found that residents and students performed poorly in simple clinical scenarios. We hypothesized that repeated simulations in the "war games" format would improve performance. METHODS: Participants included medical students and residents on the trauma and surgical intensive care unit (SICU) services. Subjects were given a nursing report of an unstable patient and asked to verbalize management of the situation. Responses were transcribed and graded. RESULTS: Eighty subjects and 5 experts participated in 227 simulations. Naive medical students, postgraduate year (PGY)-1, and PGY-2+ subjects performed worse than experts (P <.05). After participation in >/=3 war games sessions, trainees' scores were similar to experts. Subjects with the least amount of clinical experience demonstrated the most improvement. DISCUSSION: We have designed an educational system that rapidly enhances the cognitive performance of students and residents. This may represent an important tool in assessing and enhancing the competencies of medical trainees in a safe environment.

Differences in early- and late-onset ventilator-associated pneumonia between surgical and trauma patients in a combined surgical or trauma intensive care unit.

INTRODUCTION: Ventilator-associated pneumonia (VAP) is a leading cause of morbidity in the perioperative period. Based on differences in causes, VAP has been divided into early (96 hours of admission) onset. We sought to compare differences in patient characteristics and outcome between early- and late-onset VAP in trauma and nontrauma surgical patients. METHODS: A retrospective analysis of prospectively collected data were performed for all surgical and trauma patients admitted to the surgical or trauma intensive care unit of an academic medical center from December 1996 to March 2005 who developed VAP. Patients with early- and late-onset VAP were compared with regard to patient characteristics, cause, and outcome using bivariate and multivariate analyses. RESULTS: Three hundred thirty VAPs were identified in 233 trauma (71%) and 97 nontrauma surgery patients (29%). There was no statistically significant difference in recurrence, mortality, or length of stay between early- and late-onset VAP in trauma patients. Mortality for late- onset VAPs in nontrauma patients was 44% versus 23% for early-onset VAPs (p = 0.09). On a per case basis, trauma patients had significantly better mortality (11% vs. 41%) and length of stay (33.1 +/- 1.4 vs. 55.8 +/- 4.1 days) than nontrauma surgical patients with VAP (p < 0.0001), although the rate of VAP-related death favored the nontrauma patients (1.8 deaths of 100 intensive care unit trauma admissions vs. 1.1 deaths of 100 intensive care unit nontrauma admissions, p = 0.05). CONCLUSIONS: Although there is a trend toward worse outcome in nontrauma patients with late-onset VAP, trauma patients with late- and early-onset VAP behave similarly. On a per case basis, trauma patients have significantly better outcomes than nontrauma surgical patients with VAP when cared for within the same surgical or trauma intensive care unit.

The use of "war games" to evaluate performance of students and residents in basic clinical scenarios: a disturbing analysis.

BACKGROUND: "Failure to Rescue" is a term applied to clinical issues that, if unrecognized or improperly treated, lead to adverse outcomes. We examined the cognitive components of rescue through the use of a "War Games" simulator format. Our hypothesis was that junior and senior medical students would be less able than interns and residents to detail the actions needed to assess, intervene, and stabilize patients. METHODS: Medical students and residents rotating on the trauma and surgical intensive care unit service participated. Twelve scenarios were created to focus on basic floor emergencies. Scores were assigned for clinical actions ordered. The scenarios were validated by two critical care attending physicians, and these scores were used as the expert group. Scores were assigned by two examiners, and the average of the grades in each area was used. The scores are a ratio of actual to possible correct responses in each section, and in the entire exercise. RESULTS: Subjects were divided into third-year medical students (MS3), fourth-year students (MS4), first-year residents (PGY1), residents beyond their first year (PGY2+), and experts. There were 20 subjects and 5 experts (n = 85) in each group for a total of 140 simulated cases examined. On initial evaluation, MS4 and PGY2+ performed significantly worse than expert, and MS3 and PGY1 performed similarly to experts. On secondary evaluation, all groups performed significantly worse than the expert group. In determining the diagnosis, only MS3 differed significantly from the experts. On follow-up, and in total score, all performed significantly worse than the experts. DISCUSSION: All groups had significant deficits in cognitive performance compared with experts in the areas of secondary evaluation, follow-up of the presenting problem, and total performance in simple clinical scenarios. We must design educational systems that rapidly enhance the cognitive performance of students and residents before they are left to independently diagnose and intervene in life-threatening clinical situations.