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OBJECTIVE: We used machine learning to identify the highest impact components of emergency department (ED) pediatric readiness for predicting in-hospital survival among children cared for in US trauma centers. BACKGROUND: ED pediatric readiness is associated with improved short-term and long-term survival among injured children and part of the national verification criteria for US trauma centers. However, the components of ED pediatric readiness most predictive of survival are unknown. METHODS: This was a retrospective cohort study of injured children below 18 years treated in 458 trauma centers from January 1, 2012, through December 31, 2017, matched to the 2013 National ED Pediatric Readiness Assessment and the American Hospital Association survey. We used machine learning to analyze 265 potential predictors of survival, including 152 ED readiness variables, 29 patient variables, and 84 ED-level and hospital-level variables. The primary outcome was in-hospital survival. RESULTS: There were 274,756 injured children, including 4585 (1.7%) who died. Nine ED pediatric readiness components were associated with the greatest increase in survival: policy for mental health care (+8.8% change in survival), policy for patient assessment (+7.5%), specific respiratory equipment (+7.2%), policy for reduced-dose radiation imaging (+7.0%), physician competency evaluations (+4.9%), recording weight in kilograms (+3.2%), life support courses for nursing (+1.0%-2.5%), and policy on pediatric triage (+2.5%). There was a 268% improvement in survival when the 5 highest impact components were present. CONCLUSIONS: ED pediatric readiness components related to specific policies, personnel, and equipment were the strongest predictors of pediatric survival and worked synergistically when combined.

High emergency department (ED) pediatric readiness is associated with improved survival in children, but the cost is unknown. We evaluated the costs of emergency care for children across quartiles of ED pediatric readiness. This was a retrospective cohort study of children aged 0-17 years receiving emergency services in 747 EDs in 9 states from January 1, 2012, through December 31, 2017. We measured ED pediatric readiness using the weighted Pediatric Readiness Score (range: 0-100). The primary outcome was the total cost of acute care (ED and inpatient) in 2022 dollars, adjusted for ED case mix and hospital characteristics. A total of 15 138 599 children received emergency services, including 27.6% with injuries and 72.4% with acute medical illness. The average adjusted per-patient cost by quartile of ED pediatric readiness ranged from $991 (quartile 1) to $1064 (quartile 4) for injured children and $1104-$1217 for medical children. The resulting cost differences were $72 (95% CI: -$6 to $151) and $113 (95% CI: $20-$206), respectively. Receiving emergency care in high-readiness EDs was not associated with marked increases in the cost of delivering services.

BACKGROUND: Injured children initially treated at trauma centers with high emergency department (ED) pediatric readiness have improved survival. Centers with limited resources may not be able to address all pediatric readiness deficiencies, and there currently is no evidence-based guidance for prioritizing different components of readiness. The objective of this study was to identify individual components of ED pediatric readiness associated with better-than-expected survival in US trauma centers to aid in the allocation of resources targeted at improving pediatric readiness. METHODS: This cohort study of US trauma centers used the National Trauma Data Bank (2012-2017) matched to the 2013 National Pediatric Readiness Project assessment. Adult and pediatric centers treating at least 50 injured children (younger than 18 years) and recording at least one death during the 6-year study period were included. Using a standardized risk-adjustment model for trauma, we calculated the observed-to-expected mortality ratio for each trauma center. We used bivariate analyses and multivariable linear regression to assess for associations between individual components of ED pediatric readiness and better-than-expected survival. RESULTS: Among 555 trauma centers, the observed-to-expected mortality ratios ranged from 0.07 to 4.17 (interquartile range, 0.93-1.14). Unadjusted analyses of 23 components of ED pediatric readiness showed that trauma centers with better-than-expected survival were more likely to have a validated pediatric triage tool, comprehensive quality improvement processes, a pediatric-specific disaster plan, and critical airway and resuscitation equipment (all p < 0.03). The multivariable analysis demonstrated that trauma centers with both a physician and a nurse pediatric emergency care coordinator had better-than-expected survival, but this association weakened after accounting for trauma center level. Child maltreatment policies were associated with lower-than-expected survival, particularly in Levels III to V trauma centers. CONCLUSION: Specific components of ED pediatric readiness were associated with pediatric survival among US trauma centers. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level III.

OBJECTIVE: Whether ambulance transport patterns are optimized to match children to high-readiness emergency departments (EDs) and the resulting effect on survival are unknown. We quantified the number of children transported by 9-1-1 emergency medical services (EMS) to high-readiness EDs, additional children within 30 minutes of a high-readiness ED, and the estimated effect on survival. METHODS: This was a cross-sectional study using data from the National EMS Information System for 5,461 EMS agencies in 28 states from 1/1/2012 through 12/31/2019, matched to the 2013 National Pediatric Readiness Project assessment of ED pediatric readiness. We performed a geospatial analysis of children 0 to 17 years requiring 9-1-1 EMS transport to acute care hospitals, including day-, time-, and traffic-adjusted estimates for driving times to all EDs within 30 minutes of the scene. We categorized receiving hospitals by quartile of ED pediatric readiness using the weighted Pediatric Readiness Score (wPRS, range 0-100) and defined a high-risk subgroup of children as a proxy for admission. We used published estimates for the survival benefit of high readiness EDs to estimate the number of lives saved. RESULTS: There were 808,536 children transported by EMS, of whom 253,541 (31.4%) were high-risk. Among the 2,261 receiving hospitals, the median wPRS was 70 (IQR 57-85, range 26-100) and the median number of receiving hospitals within 30 minutes was 4 per child (IQR 2-11, range 1 to 53). Among all children, 411,685 (50.9%) were taken to EDs in the highest quartile of pediatric readiness, and 180,547 (22.3%) children transported to lower readiness EDs were within 30 minutes of a high readiness ED. Findings were similar among high-risk children. Based on high-risk children, we estimated that 3,050 pediatric lives were saved by transport to high-readiness EDs and an additional 1,719 lives could have been saved by shifting transports to high readiness EDs within 30 minutes. CONCLUSIONS: Approximately half of children transported by EMS were taken to high-readiness EDs and an additional one quarter could have been transported to such an ED, with measurable effect on survival.

OBJECTIVES: The Centers for Disease Control and Preventions field triage guidelines (FTG) are routinely used by emergency medical services personnel for triaging injured patients. The most recent (2011) FTG contains physiologic, anatomic, mechanism, and special consideration steps. Our objective was to systematically review the criteria in the mechanism and special consideration steps that might be predictive of serious injury or need for a trauma center. METHODS: We conducted a systematic review of the predictive utility of mechanism and special consideration criteria for predicting serious injury. A research librarian searched in Ovid Medline, EMBASE, and the Cochrane databases for studies published between January 2011 and February 2021. Eligible studies were identified using a priori inclusion and exclusion criteria. Studies were excluded if they lacked an outcome for serious injury, such as measures of resource use, injury severity scores, mortality, or composite measures using a combination of outcomes. Given the heterogeneity in populations, measures, and outcomes, results were synthesized qualitatively focusing on positive likelihood ratios (LR+) whenever these could be calculated from presented data or adjusted odds ratios (aOR). RESULTS: We reviewed 2418 abstracts and 315 full-text publications and identified 42 relevant studies. The factors most predictive of serious injury across multiple studies were death in the same vehicle (LR+ 2.2-7.4), ejection (aOR 3.2-266.2), extrication (LR+ 1.1-6.6), lack of seat belt use (aOR 4.4-11.3), high speeds (aOR 2.0-2.9), concerning crash variables identified by vehicle telemetry systems (LR+ 4.7-22.2), falls from height (LR+ 2.4-5.9), and axial load or diving (aOR 2.5-17.6). Minor or inconsistent predictors of serious injury were vehicle intrusion (LR+ 0.8-7.2), cardiopulmonary or neurologic comorbidities (LR+ 0.8-3.1), older age (LR+ 0.6-6.8), or anticoagulant use (LR+ 1.1-1.8). CONCLUSIONS: Select mechanism and special consideration criteria contribute positively to appropriate field triage of potentially injured patients.

Evidence that patients may avoid healthcare facilities for fear of COVID-19 infection has heightened the concern that true rates of myocardial infarctions have been under-ascertained and left untreated. We analyzed data from the National Emergency Medical Services Information System (NEMSIS) and incident COVID-19 infections across the United States (US) between January 1, 2020 and April 30, 2020. Grouping events by US Census Division, multivariable adjusted negative binomial regression models were utilized to estimate the relationship between COVID-19 and EMS cardiovascular activations. After multivariable adjustment, increasing COVID-19 rates were associated with less activations for chest pain and non-ST-elevation myocardial infarctions. Simultaneously, increasing COVID-19 rates were associated with more activations for cardiac arrests, ventricular fibrillation, and ventricular tachycardia. Although direct effects of COVID-19 infections may explain these discordant observations, these findings may also arise from patients delaying or avoiding care for myocardial infarction, leading to potentially lethal consequences.

The Injury Severity Score (ISS) is a measure of injury severity widely used for research and quality assurance in trauma. Calculation of ISS requires chart abstraction, so it is often unavailable for patients cared for in nontrauma centers. Whether ISS can be accurately calculated from International Classification of Diseases, Ninth Revision (ICD-9) codes remains unclear. Our objective was to compare ISS derived from ICD-9 codes with those coded by trauma registrars. This was a retrospective study of patients entered into 9 U.S. trauma registries from January 2006 through December 2008. Two computer programs, ICDPIC and ICDMAP, were used to derive ISS from the ICD-9 codes in the registries. We compared derived ISS with ISS hand-coded by trained coders. There were 24,804 cases with a mortality rate of 3.9%. The median ISS derived by both ICDPIC (ISS-ICDPIC) and ICDMAP (ISS-ICDMAP) was 8 (interquartile range [IQR] = 4-13). The median ISS in the registry (ISS-registry) was 9 (IQR = 4-14). The median difference between either of the derived scores and ISS-registry was zero. However, the mean ISS derived by ICD-9 code mapping was lower than the hand-coded ISS in the registries (1.7 lower for ICDPIC, 95% CI [1.7, 1.8], Bland-Altman limits of agreement = -10.5 to 13.9; 1.8 lower for ICDMAP, 95% CI [1.7, 1.9], limits of agreement = -9.6 to 13.3). ICD-9-derived ISS slightly underestimated ISS compared with hand-coded scores. The 2 methods showed moderate to substantial agreement. Although hand-coded scores should be used when possible, ICD-9-derived scores may be useful in quality assurance and research when hand-coded scores are unavailable.

Background and objectives: A better characterization of deaths in children following emergency care is needed to inform timely interventions. This study aimed to describe the timing, location, and causes of death to 1 year among a cohort of injured and medically ill children. Methods: We conducted a retrospective cohort study of children <18 years requiring emergency care in six states from January 1, 2012, through December 31, 2017, with follow‐up through December 31, 2018, for patients who were not discharged from the emergency department (ED). In this cohort, 1‐year mortality, time to death within 1 year, and causes of death were assessed from ED, inpatient, and vital status records. Results: There were 546,044 children during the 6‐year period. The 1‐year mortality rate was 2.2% (n = 1356) for injured children and 1.4% (n = 6687) for medically ill children. Matched death certificates were available for 861 (63.5%) of 1356 deaths in the injury cohort and for 4712 (70.5%) of 6687 deaths in the medical cohort. Among deaths in the injury cohort, 1274 (94.0%) occurred in the ED or hospital. The most common causes of death were motor vehicle collisions, firearm injuries, and pedestrian injuries. Among the 6687 deaths in the medical cohort, 5081 (76.0%) children died in the ED or hospital (primarily in the ED) and 1606 (24.0%) occurred after hospital discharge. The most common causes of death were sudden infant death syndrome, suffocation and drowning, and congenital conditions. Conclusions: The 1‐year mortality of children presenting to an ED is 2.2% for injured children and 1.4% for medically ill children with most deaths occurring in the ED. Future interventional trials, quality improvement efforts, and health policy focused in the ED could have the potential to improve outcomes of pediatric patients. [ABSTRACT FROM AUTHOR]

BackgroundThe American College of Surgeons Committee on Trauma sets national targets for the accuracy of field trauma triage at ≥95% sensitivity and ≥65% specificity, yet the cost-effectiveness of realizing these goals is unknown. We evaluated the cost-effectiveness of current field trauma triage practices compared with triage strategies consistent with the national targets.Study designThis was a cost-effectiveness analysis using data from 79,937 injured adults transported by 48 emergency medical services agencies to 105 trauma and nontrauma hospitals in 6 regions of the western United States from 2006 through 2008. Incremental differences in survival, quality-adjusted life years (QALYs), costs, and the incremental cost-effectiveness ratio (costs per QALY gained) were estimated for each triage strategy during a 1-year and lifetime horizon using a decision analytic Markov model. We considered an incremental cost-effectiveness ratio threshold of

Symmetry breaking caused by geometric fluctuations can enable processes that are otherwise forbidden. An example is a perylene bisimide dyad whose dipole moments are perpendicular to each other. Förster-type energy transfer is thus forbidden at the equilibrium geometry since the dipolar coupling vanishes. Yet, fluctuations of the geometric arrangement have been shown to induce finite energy transfer that depends on the dipole variance, rather than the mean. We demonstrate an analogous effect associated with chirality symmetry breaking. In its equilibrium geometry, this dimer is non-chiral. The linear chiral response which depends on the average geometry thus vanishes. However, we show that certain 2D chiral optical signals are finite due to geometric fluctuations. Furthermore, the correlation time of these fluctuations can be experimentally revealed by the waiting time dependence of the 2D signal.

ObjectiveTo evaluate the ability of out-of-hospital physiologic measures to predict serious injury for field triage purposes among older adults and potentially reduce the undertriage of seriously injured elders to non-trauma hospitals.MethodsThis was a retrospective cohort study involving injured adults 55 years and older transported by 94 emergency medical services (EMS) agencies to 122 hospitals (trauma and non-trauma) in 7 regions of the western United States from January 1, 2006 to December 31, 2008. We evaluated initial out-of-hospital Glasgow Coma Scale (GCS) score, systolic blood pressure (SBP), respiratory rate, heart rate, shock index (SBP ÷ heart rate), out-of-hospital procedures, mechanism of injury, and patient demographics. The primary outcome was "serious injury," defined as Injury Severity Score (ISS) ≥ 16, as a measure of trauma center need. We used multivariable regression models, fractional polynomials and binary recursive partitioning to evaluate appropriate physiologic cut-points and the value of different physiologic triage criteria.ResultsA total of 44,890 injured older adults were evaluated and transported by EMS, of whom 2,328 (5.2%) had ISS ≥ 16. Nonlinear associations existed between all physiologic measures and ISS ≥ 16 (unadjusted and adjusted p ≤ 0.001 for all,), except for heart rate (adjusted p = 0.48). Revised physiologic triage criteria included GCS score ≤ 14; respiratory rate < 10 or > 24 breaths per minute or assisted ventilation; and SBP < 110 or > 200 mmHg. Compared to current triage practices, the revised criteria would increase triage sensitivity from 78.6 to 86.3% (difference 7.7%, 95% CI 6.1-9.6%), reduce specificity from 75.5 to 60.7% (difference 14.8%, 95% CI 14.3-15.3%), and increase the proportion of patients without serious injuries transported to major trauma centers by 60%.ConclusionsExisting out-of-hospital physiologic triage criteria could be revised to better identify seriously injured older adults at the expense of increasing overtriage to major trauma centers.

While Black individuals experienced disproportionately increased firearm violence and deaths during the COVID-19 pandemic, less is known about community level disparities. We sought to evaluate national community race and ethnicity differences in 2020 and 2021 rates of penetrating trauma. We linked the 2018–2021 National Emergency Medical Services Information System databases to ZIP Code demographics. We stratified encounters into majority race/ethnicity communities (>50% White, Black, or Hispanic/Latino). We used logistic regression to compare penetrating trauma for each community in 2020 and 2021 to a combined 2018–2019 historical baseline. Majority Black and majority Hispanic/Latino communities were compared to majority White communities for each year. Analyses were adjusted for household income. We included 87,504,097 encounters (259,449 penetrating traumas). All communities had increased odds of trauma in 2020 when compared to 2018–2019, but this increase was largest for Black communities (aOR 1.4, [1.3–1.4]; White communities – aOR 1.2, [1.2–1.3]; Hispanic/Latino communities – aOR 1.1. [1.1–1.2]). There was a similar trend of increased penetrating trauma in 2021 for Black (aOR 1.2, [1.2–1.3]); White (aOR 1.2, [1.1–1.2]); Hispanic/Latino (aOR 1.1, [1.1–1.1]). Comparing penetrating trauma in each year to White communities, Black communities had higher odds of trauma in all years (2018/2019 – aOR 3.0, [3.0–3.1]; 2020 – aOR 3.3, [3.3–3.4]; 2021 – aOR 3.3, [3.2–3.2]). Hispanic/Latino also had more trauma each year but to a lesser degree (2018/2019 – aOR 2.0, [2.0–2.0]; 2020 – aOR 1.8, [1.8–1.9]; 2021 – aOR 1.9, [1.8–1.9]). Black communities were most impacted by increased penetrating trauma rates in 2020 and 2021 even after adjusting for income. [ABSTRACT FROM AUTHOR]

ObjectiveTo describe the incidence, injury severity, resource use, mortality, and costs for children with gunshot injuries, compared with other injury mechanisms.MethodsThis was a population-based, retrospective cohort study (January 1, 2006-December 31, 2008) including all injured children age ≤ 19 years with a 9-1-1 response from 47 emergency medical services agencies transporting to 93 hospitals in 5 regions of the western United States. Outcomes included population-adjusted incidence, injury severity score ≥ 16, major surgery, blood transfusion, mortality, and average per-patient acute care costs.ResultsA total of 49,983 injured children had a 9-1-1 emergency medical services response, including 505 (1.0%) with gunshot injuries (83.2% age 15-19 years, 84.5% male). The population-adjusted annual incidence of gunshot injuries was 7.5 cases/100,000 children, which varied 16-fold between regions. Compared with children who had other mechanisms of injury, those injured by gunshot had the highest proportion of serious injuries (23%, 95% confidence interval [CI] 17.6-28.4), major surgery (32%, 95% CI 26.1-38.5), in-hospital mortality (8.0%, 95% CI 4.7-11.4), and costs ($28,510 per patient, 95% CI 22,193-34,827).ConclusionsDespite being less common than other injury mechanisms, gunshot injuries cause a disproportionate burden of adverse outcomes in children, particularly among older adolescent males. Public health, injury prevention, and health policy solutions are needed to reduce gunshot injuries in children.

BackgroundElderly patients are frequently undertriaged. However, the associations between triage patterns and outcomes from a population perspective are unknown. We hypothesized that triage patterns would be associated with differences in outcomes.Study designThis is a population-based, retrospective, cohort study of all injured adults aged 55 years or older, from 3 counties in California and 4 in Utah (2006 to 2007). Prehospital data were linked to trauma registry data, state-level discharge data, emergency department records, and death files. The primary outcome was 60-day mortality. Patients treated at trauma centers were compared with those treated at nontrauma centers. Undertriage was defined as an Injury Severity Score (ISS) >15, with transport to a nontrauma center.ResultsThere were 6,015 patients in the analysis. Patients who were taken to nontrauma centers were, on average, older (79.4 vs 70.7 years, p < 0.001), more often female (68.6% vs 50.2%, p < 0.01), and less often had an ISS >15 (2.2% vs 6.7%, p < 0.01). There were 244 patients with an ISS >15 and the undertriage rate was 32.8% (n = 80). Overall 60-day mortality for patients with an ISS >15 was 17%, with no difference between trauma and nontrauma centers in unadjusted or adjusted analyses. However, the median per-patient costs were $21,000 higher for severely injured patients taken to trauma centers.ConclusionsThis is the first population-based analysis of triage patterns and outcomes in the elderly. We have shown high rates of undertriage that are not associated with higher mortality, but are associated with higher costs. Future work should focus on determining how to improve outcomes for this population.

Regionalized trauma care has been widely implemented in the United States, with field triage by emergency medical services (EMS) playing an important role in identifying seriously injured patients for transport to major trauma centers. In this study we estimated hospital-level differences in the adjusted cost of acute care for injured patients transported by 94 EMS agencies to 122 hospitals in 7 regions, overall and by injury severity. Among 301,214 patients, the average adjusted per episode cost of care was $5,590 higher in a level 1 trauma center than in a nontrauma hospital. We found hospital-level differences in cost among patients with minor, moderate, and serious injuries. Of the 248,342 low-risk patients-those who did not meet field triage guidelines for transport to trauma centers-85,155 (34.3 percent) were still transported to major trauma centers, accounting for up to 40 percent of acute injury costs. Adhering to field triage guidelines that minimize the overtriage of low-risk injured patients to major trauma centers could save up to $136.7 million annually in the seven regions we studied.

ObjectivesReasons for undertriage (transporting seriously injured patients to nontrauma centers) and the apparent lack of benefit of trauma centers among older adults remain unclear; understanding emergency medical services (EMS) provider reasons for selecting certain hospitals in trauma systems may provide insight to these issues. In this study, the authors evaluated reasons cited by EMS providers for selecting specific hospital destinations for injured patients, stratified by age, injury severity, field triage status, and prognosis.MethodsThis was a retrospective cohort study of injured children and adults transported by 61 EMS agencies to 93 hospitals (trauma and nontrauma centers) in five regions of the western United States from 2006 through 2008. Hospital records were probabilistically linked to EMS records using trauma registries, state discharge data, and emergency department data. The seven standardized reasons cited by EMS providers for selecting hospital destinations included closest facility, ambulance diversion, physician choice, law enforcement choice, patient or family choice, specialty resource center, and other. "Serious injury" was defined as an Injury Severity Score (ISS) ≥ 16, and unadjusted in-hospital mortality was considered as a marker of prognosis. All analyses were stratified by age in 10-year increments, and descriptive statistics were used to characterize the findings.ResultsA total of 176,981 injured patients were evaluated and transported by EMS over the 3-year period, of whom 5,752 (3.3%) had ISS ≥ 16 and 2,773 (1.6%) died. Patient or family choice (50.6%), closest facility (20.7%), and specialty resource center (15.2%) were the most common reasons indicated by EMS providers for selecting destination hospitals; these frequencies varied substantially by patient age. The frequency of patient or family choice increased with increasing age, from 36.4% among 21- to 30-year-olds to 75.8% among those older than 90 years. This trend paralleled undertriage rates and persisted when restricted to patients with serious injuries. Older patients with the worst prognoses were preferentially transported to major trauma centers, a finding that was not explained by field triage protocols.ConclusionsEmergency medical services transport patterns among injured patients are not random, even after accounting for field triage protocols. The selection of hospitals appears to be heavily influenced by patient or family choice, which increases with patient age and involves inherent differences in patient prognosis.

BackgroundNational benchmarks for trauma triage sensitivity (≥95%) and specificity (≥50%) have not been rigorously evaluated across broad populations of injured patients. We evaluated the impact of different field triage schemes for identifying seriously injured patients across a range of sensitivity values. Impact metrics included specificity and number of undertriaged and overtriaged patients compared with current triage practices.MethodsThis was a retrospective cohort study of injured children and adults transported by 48 emergency medical service (EMS) agencies to 105 hospitals in 6 regions of the Western United States from 2006 through 2008. Hospital outcomes were probabilistically linked to EMS records through trauma registries, state discharge databases, and state emergency department databases. The primary outcome was an Injury Severity Score (ISS) of 16 or greater. We evaluated 40 field predictor variables, including 31 current field triage criteria, using classification and regression tree analysis and cross-validation to generate estimates for sensitivity and specificity.ResultsA total of 89,261 injured patients were evaluated and transported by EMS providers during the 3-year period, of whom 5,711 (6.4%) had ISS of 16 or greater. As the 95% sensitivity target for triage was approached (from the current value of 87.5%), decision tree complexity increased, specificity decreased (from 62.8% to 18.7%), and the number of triage-positive patients without serious injury doubled (67,927 vs. 31,104). Analyses restricted to children and older adults were similar. The most consistent modification to the current triage algorithm to increase sensitivity without a major decrease in specificity was altering the Glasgow Coma Scale (GCS) score cutoff point from 13 or less to 14 or less (sensitivity increase to 90.4%).ConclusionReaching the field triage sensitivity benchmark of 95% would require a large decrease in specificity (increase in overtriage). A 90% sensitivity target seems more realistic and may be obtainable by modest changes to the current triage algorithm.

Study objectiveWe evaluate trauma undertriage by age group, the association between age and serious injury after accounting for other field triage criteria and confounders, and the potential effect of a mandatory age triage criterion for field triage.MethodsThis was a retrospective cohort study of injured children and adults transported by 48 emergency medical services (EMS) agencies to 105 hospitals in 6 regions of the western United States from 2006 through 2008. We used probabilistic linkage to match EMS records to hospital records, including trauma registries, state discharge databases, and emergency department databases. The primary outcome measure was serious injury, as measured by an Injury Severity Score greater than or equal to 16. We assessed undertriage (Injury Severity Score ≥16 and triage-negative or transport to a nontrauma center) by age decile and used multivariable logistic regression models to estimate the association (linear and nonlinear) between age and Injury Severity Score greater than or equal to 16, adjusted for important confounders. We also evaluated the potential influence of age on triage efficiency and trauma center volume.ResultsInjured patients (260,027) were evaluated and transported by EMS during the 3-year study period. Undertriage increased for patients older than 60 years, reaching approximately 60% for those older than 90 years. There was a strong nonlinear association between age and Injury Severity Score greater than or equal to 16. For patients not meeting other triage criteria, the probability of serious injury was most notable after 60 years. A mandatory age triage criterion would have decreased undertriage at the expense of overtriage, with 1 patient with Injury Severity Score greater than or equal to 16 identified for every 60 to 65 additional patients transported to major trauma centers.ConclusionTrauma undertriage increases in patients older than 60 years. Although the probability of serious injury increases among triage-negative patients with increasing age, the use of a mandatory age triage criterion appears inefficient for improving field triage.