Integration of Geriatrician Consultation for Trauma Admissions May Benefit Patient Outcomes.

Objective: Geriatric admissions to trauma centers have increased, and in 2013, our center integrated geriatrician consultation with the management of admitted patients. Our goal is to describe our experience with increasing geriatric fall volume to help inform organized geriatric trauma programs. Method: We retrospectively analyzed admitted trauma patients ≥65 years old, suffering falls from January 1, 2006, to December 31, 2017. We examined descriptive statistics and changes in outcomes after integration. Results: A total of 1,335 geriatric trauma patients were admitted, of which 1,054 (79%) had suffered falls. Falls increased disproportionately (+280%) compared with other mechanisms of injury (+97%). After 2013, patient discharge disposition to skilled nursing facility decreased significantly (-67%, p < .001), with a concomitant increase in safe discharges home with outpatient services. Regression analysis revealed association between integration of geriatrician consultation and outcomes. Discussion: Geriatrician consultation is associated with optimized discharge disposition of trauma patients. We recommend geriatrician consultation for all geriatric trauma activations.

Black children experience worse clinical and functional outcomes after traumatic brain injury: an analysis of the National Pediatric Trauma Registry.

BACKGROUND: Recent studies suggest racial disparities in the treatment and outcomes of children with traumatic brain injury (TBI). This study aims to identify race-based clinical and functional outcome differences among pediatric TBI patients in a national database. METHODS: A total of 41,122 patients (ages 2-16 years) who were included in the National Pediatric Trauma Registry (from 1996-2001) were studied. TBI was categorized by Relative Head Injury Severity Score (RHISS) and patients with moderate to severe TBI were included. Individual race groups were compared with white as the majority group. Differences between races in functional outcomes at discharge in three domains-speech, locomotion, and feeding-were determined using multiple logistic regression. Cases were adjusted for age, sex, severity of head injury (using RHISS), severity of injury (using New Injury Severity Score and Pediatric Trauma Score), premorbidities, mechanism, and injury intent. RESULTS: A total of 7,778 children had moderate or severe TBI with or without associated injuries. All races had similar demographics. Hispanics (n=1,041) had outcomes comparable to whites (n=4,762). Black children (n=1,238) had significantly increased premorbidities, penetrating trauma, and violent intent. They also had higher unadjusted mortality and longer mean intensive care unit and floor stays. After adjustment, there was no difference in the odds of death between black and white children. However, black patients were more likely to be discharged to an inpatient rehabilitation facility and had increased odds of possessing a functional deficit at discharge for all three domains studied. CONCLUSION: Black children with traumatic brain injury have worse clinical and functional outcomes at discharge when compared with equivalently injured white children.

Intubation of pediatric trauma patients in the field: predictor of negative outcome despite risk stratification.

BACKGROUND: Recently, evidence has shown that intubation in the field may not improve or may even adversely affect outcomes. Our objective was to analyze outcomes in pediatric intubated trauma patients using a large national pediatric trauma registry. METHODS: The patient population was derived from the last phase of the National Pediatric Trauma Registry, comprising admissions from 1994 through 2002. Intubated patients were identified, as was their place of intubation: in the field, at a hospital that was not a trauma center, and at a trauma center. Risk stratification was performed for mortality using logistic regression models and variables available at presentation to the emergency room. Odds ratio and variable significance were calculated from the logistic regression model. The percentage of patients discharged to home and an abnormal Functional Independence Measure at hospital discharge examined functional outcome of survivors. RESULTS: There were a total of 50,199 patients, 5460 (11.6%) of whom were intubated (1,930 in the field, 1,654 in the hospital, and 1,876 in a trauma center). Unadjusted mortality rates for intubated patients were as follows: field, 38.5%; hospital, 16.7%; and trauma center, 13.2% (all different, p < 0.05). The developed logistic regression model had an area under the receiver operating characteristic curve of 0.98. Compared with nonintubated patients, the odds ratio for field intubation, for non-trauma center, and for trauma center intubation was 14.4, 5.8, and 4.8, respectively (significantly different field vs. either hospital). The actual (observed) death rate was significantly higher than predicted in those intubated in the field. Stratification of injury by New Injury Severity Score or degree of head injury showed that this difference extended from mild to severe (e.g., odds ratio for New Injury Severity Score < 15 field vs. trauma center intubation, 12.3; odds ratio for none or moderate head injury, 5.1). Similar results were obtained for functional outcome in the survivors. CONCLUSION: Field intubation is an independent strong negative predictor of survival or good functional outcome despite adjustment for severity of injury. Although not causal, the magnitude of these differences should lead to future controlled studies of pediatric trauma field intubations.

Injury prevention priority score: a new method for trauma centers to prioritize injury prevention initiatives.

BACKGROUND: Trauma centers are expected to develop injury prevention programs that address needs of the local population. A relatively simple, objective, and quantitative method is needed for prioritizing local injury prevention initiatives based on both injury frequency and severity. STUDY DESIGN: Pediatric trauma patients (16 years or younger; n= 7,958) admitted to two Level I regional trauma centers (Johns Hopkins Children Center and Westchester Medical Center) from 1993 to 1999 were grouped by injury causal mechanism according to ICD-9 external cause codes. An Injury Prevention Priority Score (IPPS), balancing the influences of severity (based on the Injury Severity Score) and frequency, was calculated for each mechanism and mechanisms were ranked accordingly. RESULTS: IPPS-based rank lists differed across centers. The highest ranked mechanism of injury among children presenting to Johns Hopkins Children Center was "pedestrian struck by motor vehicle," and at Westchester Medical Center it was "motor vehicle crash." Different age groups also had specific injury prevention priorities, eg, "child abuse" was ranked second highest among infants at both centers. IPPS was found to be stable (r = 0.82 to 0.93, p < 0.05) across alternate measures of injury severity. CONCLUSIONS: IPPS is a relatively simple and objective tool that uses data available in trauma center registries to rank injury causes according to both frequency and severity. Differences between two centers and across age groups suggest IPPS may be useful in tailoring injury prevention programs to local population needs.

Prediction of mortality in pediatric trauma patients: new injury severity score outperforms injury severity score in the severely injured.

BACKGROUND: The Injury Severity Score (ISS) is a widely accepted method of measuring severity of traumatic injury. A modification has been proposed--the New Injury Severity Score (NISS). This has been shown to predict mortality better in adult trauma patients, but it had no predictive benefit in pediatric patients. The aim of this study was to determine whether the NISS outperforms the ISS in a large pediatric trauma population. METHODS: Admissions in the National Pediatric Trauma Registry between April 1996 and September 1999 were included. The ISS and NISS were calculated for each patient. The study endpoints were mortality at hospital discharge, functional outcome in three domains (expression, locomotion, and feeding), and discharge disposition for the survivors. Predictive ability of each score was assessed by area under the receiver operating characteristic curve. RESULTS: The NISS and ISS performed equally well at predicting mortality in patients with lower injury severity (ISS < 25), but the NISS was significantly better at predicting mortality in the more severely injured patients. Both scores performed equally well at predicting expression and feeding ability. The NISS was superior to the ISS in predicting locomotion ability at discharge. Thirty-seven percent of patients had an NISS that was higher than their ISS. These patients had a significantly higher mortality and suffered worse functional outcomes. CONCLUSION: The NISS performs as well as the ISS in pediatric patients with lower injury severity and outperforms the ISS in those with higher injury severity.

Traumatic brain injury in the elderly: increased mortality and worse functional outcome at discharge despite lower injury severity.

OBJECTIVE: The purpose of this study was to compare data obtained from a statewide data set for elderly patients (age > 64 years) that presented with traumatic brain injury with data from nonelderly patients (age > 15 and < 65 years) with similar injuries. METHODS: The New York State Trauma Registry from January 1994 through December 1995, from trauma centers and community hospitals excluding New York City (45,982 patients), was examined. Head-injured patients were identified by International Classification of Diseases, Ninth Revision diagnosis codes. A relative head injury severity scale (RHISS) was constructed on the basis of groups of these codes (range, 0 = none to 3 = severe). Comparisons were made with nonelderly patients for mortality, Glasgow Coma Scale (GCS) score at admission and discharge, Injury Severity Score, New Injury Severity Score, and RHISS. Outcome was assessed by a Functional Independence Measure score in three major domains: expression, locomotion, and feeding. Data were analyzed by the chi2 test and Mann-Whitney U test, with p < 0.05 considered significant. RESULTS: There were 11,772 patients with International Classification of Diseases, Ninth Revision diagnosis of head injury, of which 3,244 (27%) were elderly. There were more male subjects in the nonelderly population (78% male subjects) compared with the elderly population (50% men). Mortality was 24.0% in the elderly population compared with 12.8% in the nonelderly population (risk ratio, 2.2; 95% confidence interval, 1.99-2.43). The elderly nonsurvivors were statistically older, and mortality rate increased with age. Stratified by GCS score, there was a higher percentage of nonsurvivors in the elderly population, even in the group with only moderately depressed GCS score (GCS score of 13-15; risk ratio, 7.8; 95% confidence interval, 6.1-9.9 for elderly vs. nonelderly). Functional outcome in all three domains was significantly worse in the elderly survivors compared with the nonelderly survivors. CONCLUSION: Elderly traumatic brain injury patients have a worse mortality and functional outcome than nonelderly patients who present with head injury even though their head injury and overall injuries are seemingly less severe.

Development of a model for prediction of survival in pediatric trauma patients: comparison of artificial neural networks and logistic regression.

BACKGROUND/PURPOSE: There is a paucity of outcome prediction models for injured children. Using the National Pediatric Trauma Registry (NPTR), the authors developed an artificial neural network (ANN) to predict pediatric trauma death and compared it with logistic regression (LR). METHODS: Patients in the NPTR from 1996 through 1999 were included. Models were generated using LR and ANN. A data search engine was used to generate the ANN with the best fit for the data. Input variables included anatomic and physiologic characteristics. There was a single output variable: probability of death. Assessment of the models was for both discrimination (ROC area under the curve) and calibration (Lemeshow-Hosmer C-Statistic). RESULTS: There were 35,385 patients. The average age was 8.1 +/- 5.1 years, and there were 1,047 deaths (3.0%). Both modeling systems gave excellent discrimination (ROC A(z): LR = 0.964, ANN = 0.961). However, LR had only fair calibration, whereas the ANN model had excellent calibration (L/H C stat: LR = 36, ANN = 10.5). CONCLUSIONS: The authors were able to develop an ANN model for the prediction of pediatric trauma death, which yielded excellent discrimination and calibration exceeding that of logistic regression. This model can be used by trauma centers to benchmark their performance in treating the pediatric trauma population.

The effects of motorcycle helmet use between hospitals in states with and without a mandatory helmet law.

BACKGROUND: Motorcycle injuries and mortality are different depending on the use of a helmet. Helmet use varies greatly depending on state laws. METHODS: Retrospective study using trauma registry data from two Level 1 Trauma Centers in states with (NY) and without (CT) a mandatory helmet law, from 1996 through 1998. RESULTS: Motorcycle accident victims in both states were similar for sex, age, RTS, TRISS probability of survival, GCS on arrival and ISS. Helmet use was higher in New York than in Connecticut (91% vs 18%, P < .01). Mortality was higher in Connecticut than in New York (15% vs 6%, P < .05). CONCLUSION: The demographics and injury severity of motorcycle accident victims presenting to Level 1 Trama Centers were very similar in the two adjoining states. The most significant difference between the states is that of helmet use. This is closely related to the decreased mortality rate and the higher GCS at discharge seen in the state with the mandatory helmet law.