Should we still use motor vehicle intrusion as a sole triage criterion for the use of trauma center resources?

BACKGROUND: Motor vehicle intrusion (MVI) is one of the field triage criteria recommended by the American College of Surgeons Committee of Trauma (ACS-COT) and Centers for Disease Control and Prevention (CDC). However, the evidence supporting its validity is scarce. The purpose of this study was to evaluate the validity of this criterion and assess its impact on overtriage or undertriage. PATIENTS AND METHODS: This was a retrospective study based on the Los Angeles County Trauma and Emergency Medicine Information System (TEMIS) Trauma database. Included in the analysis were patients with MVI as the sole criterion for trauma center triage. Physiological characteristics, severity of injury, and outcomes of the MVI patients were compared between different age groups. Further, a logistic regression model was used to identify factors significantly associated with the need for trauma center resources. RESULTS: During the period 2002-2012, a total of 10,554 trauma patients involved in motor vehicle crashes had documentation of MVI. A subgroup of 3998 patients (37.9%) did not meet any other criteria that require immediate transportation to a designated trauma center. Only 0.7% of these patients had hypotension and 0.1% had deterioration of the Glasgow Coma Scale on admission to the emergency room. Overall, 18.8% of patients required trauma center resources defined as intubation in the emergency room, certain surgical procedures, in-hospital death, or intensive care unit admission. Age ≥65 years, male gender, prehospital heart rate >100/min, and systolic blood pressure <110 mmHg were significantly associated with the need for trauma center resources. CONCLUSIONS: The MVI itself did not appear to be a strong indicator for the use of trauma center resources and is associated with excessive overtriage. However, age >65 years, systolic blood pressure <110 mmHg, and heart rate >100/min were significant predictors for the need of trauma center resources. The MVI criterion should be refined for better utilization of trauma center resources.

Compliance With Evidence-Based Guidelines and Interhospital Variation in Mortality for Patients With Severe Traumatic Brain Injury.

IMPORTANCE: Compliance with evidence-based guidelines in traumatic brain injury (TBI) has been proposed as a marker of hospital quality. However, the association between hospital-level compliance rates and risk-adjusted clinical outcomes for patients with TBI remains poorly understood. OBJECTIVE: To examine whether hospital-level compliance with the Brain Trauma Foundation guidelines for intracranial pressure monitoring and craniotomy is associated with risk-adjusted mortality rates for patients with severe TBI. DESIGN, SETTING, AND PARTICIPANTS: All adult patients (N = 734) who presented to a regional consortium of 14 hospitals from January 1, 2009, through December 31, 2010, with severe TBI (ie, blunt head trauma, Glasgow Coma Scale score of <9, and abnormal intracranial findings from computed tomography of the head). Data analysis took place from December 2013 through January 2015. We used hierarchical mixed-effects models to assess the association between hospital-level compliance with Brain Trauma Foundation guidelines and mortality rates after adjusting for patient-level demographics, severity of trauma (eg, mechanism of injury and Injury Severity Score), and TBI-specific variables (eg, cranial nerve reflexes and findings from computed tomography of the head). MAIN OUTCOMES AND MEASURES: Hospital-level risk-adjusted inpatient mortality rate and hospital-level compliance with Brain Trauma Foundation guidelines for intracranial pressure monitoring and craniotomy. RESULTS: Unadjusted mortality rates varied by site from 20.0% to 50.0% (median, 42.6; interquartile range, 35.5-46.2); risk-adjusted rates varied from 24.3% to 56.7% (median, 41.1; interquartile range, 36.4-47.8). Overall, only 338 of 734 patients (46.1%) with an appropriate indication underwent placement of an intracranial pressure monitor and only 134 of 335 (45.6%) underwent craniotomy. Hospital-level compliance ranged from 9.6% to 65.2% for intracranial pressure monitoring and 6.7% to 76.2% for craniotomy. Despite widespread variation in compliance across hospitals, we found no association between hospital-level compliance rates and risk-adjusted patient outcomes (Spearman ρ = 0.030 [P = .92] for ICP monitoring and Spearman ρ = -0.066 [P = .83] for craniotomy). CONCLUSIONS AND RELEVANCE: Hospital-level compliance with evidence-based guidelines has minimal association with risk-adjusted outcomes in patients with severe TBI. Our results suggest that caution should be taken before using compliance with these measures as independent quality metrics. Given the complexity of TBI care, outcomes-based metrics, including functional recovery, may be more accurate than current process measures at determining hospital quality.

Intracranial pressure monitoring and inpatient mortality in severe traumatic brain injury: A propensity score-matched analysis.

BACKGROUND: Although intracranial pressure (ICP) monitoring in severe traumatic brain injury (TBI) is recommended by the Brain Trauma Foundation, the benefits remain controversial. We sought to determine the impact of ICP monitor placement on inpatient mortality within a regional trauma system after correcting for selection bias through propensity score matching. METHODS: Data were collected on all severe TBI cases presenting to 14 trauma centers during the 2-year study period (2009-2010). Inclusion criteria were as follows: blunt injury, Glasgow Coma Scale (GCS) score of 8 or lower in the emergency department, and abnormal intracranial findings on head computed tomography (CT). Two separate multivariate logistic regression models were used to predict ICP monitor placement and inpatient mortality after controlling for demographics, severity of injury, comorbidities, and TBI-specific variables (GCS score, pupil reactivity, international normalized ratio, and nine specific head CT findings). To account for selection bias, we developed a propensity score-matched model to estimate the "true" effect of ICP monitoring on in-hospital mortality. RESULT: A total of 844 patients met inclusion criteria; 22 died on arrival to the emergency department. Inpatient mortality was 38.8%; 46.0% of the patients underwent ICP monitor placement. Unadjusted mortality rates were significantly lower in the ICP monitoring group (30.7% vs. 45.7%, p < 0.001). ICP monitor placement was positively associated with CT findings of subdural hematoma, intraparenchymal contusion, and mass effect and negatively associated with age, alcoholism, and elevated international normalized ratio. After adjusting for selection bias via propensity score matching, ICP monitor placement was associated with an 8.3 percentage point reduction in the risk-adjusted mortality rate. CONCLUSION: ICP monitor placement occurred in only 46% of eligible patients but was associated with significantly decreased mortality after adjusting for baseline risk profile and the propensity to undergo monitoring. As the individual impact of ICP monitoring may vary, future efforts must determine who stands to benefit from invasive monitoring techniques. LEVEL OF EVIDENCE: Therapeutic/care management study, level III.

Motorcycle-related injuries: effect of age on type and severity of injuries and mortality.

BACKGROUND: The aim of this study was to evaluate the relationship of age to the injury types, distribution, and severity in motorcycle crash (MCC) victims admitted to Los Angeles County emergency hospitals in California. METHODS: This Los Angeles countywide trauma registry study included all MCC victims admitted to the 13 trauma centers of the Los Angeles County between January 1995 and December 2007. Besides demographical data collected, the Injury Severity Score, body area (head, chest, abdomen, and extremities), Abbreviated Injury Scale score >or=3, specific organ injuries, and mortality were calculated according to age groups (55 years). A stepwise logistic regression model was used to identify independent risk factors for death. RESULTS: Among 6,530 admissions due to MCCs, there were 493 patients (7.5%) aged 18 years or younger, 5,627 patients (86%) aged 19 years to 55 years, and 398 patients (6.5%) older than 55 years. The incidences of severe injury (Injury Severity Score >15) in the three ascending age groups were 23.5%, 30.3%, and 36.2%, respectively (p < 0.05), and critical injuries (Injury Severity Score >25) occurred in 6.5%, 12.3%, and 13.8%, respectively (p < 0.05). Severe head injuries were significantly more likely in the population older than 55 year (odds ratio [OR] {95% confidence interval [CI] } = 1.45 {1.03-2.03}, p = 0.04). The risk of sustaining a severe chest injury (Abbreviated Injury Scale Chest Score >or=3) increased in a stepwise fashion with increasing age, with an OR (95% CI) = 1.86 (1.44-2.39) in the age group 19 years to 55 years and 2.81 (2.03-3.88) in the older than 55 years group, p < 0.001. Mortality was twofold higher in the 19-year- to 55-year-old group [OR (95% CI) = 2.30 (1.08-4.93), p = 0.03] and threefold higher in the older than 55 years group [OR (95% CI) = 3.28 (1.36-7.93), p = 0.05] compared with the

Motor vehicle crashes: the association of alcohol consumption with the type and severity of injuries and outcomes.

The effect of alcohol ingestion on short-term outcomes for trauma patients is indeterminate. Experimental and clinical reports often conflict. The objective of this study was to investigate the prevalence of positive alcohol screens, the effect of alcohol ingestion on injury patterns, severity, and outcomes in patients who were involved in motor vehicle crashes (MVC). MVC patients aged > 10 years treated in any of the 13 trauma centers in Los Angeles County during the calendar year 2003 were studied. All patients underwent routine alcohol screening on admission. The alcohol negative group ("no ETOH") had a blood alcohol level (BAL) of < or = 0.005 g/dL. Low and high alcohol groups ("low ETOH" and "high ETOH") had a BAL of > 0.005 g/dL to < 0.08 g/dL and > or = 0.08 g/dL, respectively. Logistic regression was performed to compare injury severity, complications, survival, and length of hospital stay among the three groups. Of the 3025 patients studied, 2013 (67%) were in the no ETOH group, 216 (7%) were in the low ETOH group, and 796 (26%) were in the high ETOH group. Levels were not associated with injury severity, Emergency Department hypotension, or Intensive Care Unit length of stay. Patients with an injury severity score > 15 and a high BAL had a higher incidence of severe head trauma (head abbreviated injury score > 3) and increased incidence of sepsis. However, in this group of severely injured, the high ETOH group had a significantly better survival rate than patients in the no ETOH group (adjusted odds ratio 0.41, 95% confidence interval 0.16-0.94, p = 0.05). Severely injured MVC victims with a high BAL have a higher incidence of severe head trauma and septic complications than no ETOH patients. However, the high ETOH group had superior adjusted survival rates.

Pedestrian injuries: the association of alcohol consumption with the type and severity of injuries and outcomes.

BACKGROUND: Literature on the effect of alcohol ingestion on short-term outcomes for trauma patients shows conflicting results. We performed this study to investigate the prevalence of positive alcohol screens and the effect of alcohol level on injury patterns, injury severity, and outcomes in pedestrians and bicyclists involved in a collision with an automobile. STUDY DESIGN: The study population included all pedestrians and bicyclists older than 10 years, treated in any of the 13 trauma centers in the Los Angeles County Emergency Services System during the calendar year 2003, who were involved in a collision with an automobile and had a blood alcohol level measured. The alcohol negative group was defined as those patients with a blood alcohol level 0.05 g/dL to<0.08 g/dL and>/=0.08 g/dL, respectively. We compared the three study groups with respect to demographics, injury patterns, injury severity, complications, and outcomes. Logistic regression was used to determine if alcohol had an independent association with any outcomes. RESULTS: There were 1,042 patients who met study criteria. Overall, 606 patients (58%) had a negative alcohol screen, 84 (8%) had low alcohol levels, and 352 (34%) had high alcohol levels. Alcohol level was not notably associated with severity of injury, admission hypotension, ICU length of stay, major complications, and injury pattern (head, chest, abdomen, or extremity Area Injury Score). Mortality was similar in the three alcohol level groups, but the overall complication rate and hospital length of stay were markedly higher in the high alcohol level group than they were in the negative alcohol level group. CONCLUSIONS: In pedestrians and bicyclists involved in a collision with an automobile, a high alcohol level is not associated with body area severity of injury, overall severity of injury, and hospital mortality. But high alcohol level is notably associated with higher overall complication rate and longer hospital length of stay.

Trauma deaths in a mature urban trauma system: is "trimodal" distribution a valid concept?

BACKGROUND: Trimodal distribution of trauma deaths, described more than 20 years ago, is still widely taught in the design of trauma systems. The purpose of this study was to examine the applicability of this trimodal distribution in a modern trauma system. STUDY DESIGN: A study of trauma registry and emergency medical services records of trauma deaths in the County of Los Angeles was conducted over a 3-year period. The times from injury to death were analyzed according to mechanism of injury and body area (head, chest, abdomen, extremities) with severe trauma (abbreviated injury score [AIS] >/= 4). RESULTS: During the study period there were 4,151 trauma deaths. Penetrating trauma accounted for 50.0% of these deaths. The most commonly injured body area with critical trauma (AIS >/= 4) was the head (32.0%), followed by chest (20.8%), abdomen (11.5%), and extremities (1.8%). Time from injury to death was available in 2,944 of these trauma deaths. Overall, there were two distinct peaks of deaths: the first peak (50.2% of deaths) occurred within the first hour of injury. The second peak occurred 1 to 6 hours after admission (18.3% of deaths). Only 7.6% of deaths were late (>1 week), during the third peak of the classic trimodal distribution. Temporal distribution of deaths in penetrating trauma was very different from blunt trauma and did not follow the classic trimodal distribution. Other significant independent factors associated with time of death were chest AIS and head AIS. Temporal distribution of deaths as a result of severe head trauma did not follow any pattern and did not resemble classic trimodal distribution at all. CONCLUSIONS: The classic "trimodal" distribution of deaths does not apply in our trauma system. Temporal distribution of deaths is influenced by the mechanism of injury, age of the patient, and body area with severe trauma. Knowledge of the time of distribution of deaths might help in allocating trauma resources and focusing research effort.