Pediatric trauma mortality by type of designated hospital in a mature inclusive trauma system

Association between trauma center type and mortality for injured children with severe traumatic brain injury

BACKGROUND

There is conflicting evidence regarding the relationship between trauma center type and mortality for children with traumatic brain injuries. Identification of mortality differences following brain injury across differing trauma center types may result in actionable quality improvement initiatives to standardize care for these children.

METHODS

We used Trauma Quality Improvement Program data from 2017 to 2020 to identify children with severe traumatic brain injury (TBI) managed at levels I and II state or American College of Surgeon-verified trauma centers. We used a random intercept multilevel logistic regression model to assess the relationship between exposure (trauma center type either adult, pediatric, or mixed) and outcome (in-hospital mortality). Several secondary analyses were performed to assess the influence of trauma center volume, age strata, and TBI heterogeneity.

RESULTS

There were 10,105 patients identified across 512 trauma centers. Crude mortality was 25.2%, 36.2%, and 28.9% for pediatric, adult, and mixed trauma centers, respectively. After adjustment for confounders, odds of mortality were higher for children managed at adult trauma centers (odds ratio, 1.67; 95% confidence interval, 1.30-2.13) compared with pediatric trauma centers. There were several patient demographic and injury factors associated with greater odds of death; these included male sex, self-pay insurance status, interfacility transfer, non-fall related inury, age-adjusted hypotension, lack of pupil reactivity and midline shift >5 mm. Adjustment for trauma volume and subgroup analysis using a homogenous TBI subgroup did not change the demonstrated associations.

CONCLUSION

Our results suggest that mortality was higher at adult trauma centers compared with mixed and pediatric trauma centers for children with traumatic brain injuries. Importantly, there exists the potential for unmeasured confounding. We aim for these findings to direct continuing quality improvement initiatives to improve outcomes for brain injured children.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

Admission to a Verified Pediatric Trauma Center is Associated With Improved Outcomes in Severely Injured Children

BACKGROUND

Previous studies have shown improved survival for severely injured adult patients treated at American College of Surgeons verified level I/II trauma centers compared to level III and undesignated centers. However, this relationship has not been well established in pediatric trauma centers (PTCs). We hypothesize that severely injured children will have lower mortality at verified level I/II PTCs compared to centers without PTC verification.

METHODS

All patients 1-15 years of age with ISS >15 in the 2017-2019 American College of Surgeons Trauma Quality Programs (ACS TQP) dataset were reviewed. Patients with pre-hospital cardiac arrest, burns, and those transferred out for ongoing inpatient care were excluded. Logistic regression models were used to assess the effects of pediatric trauma center verification on mortality.

RESULTS

16,301 patients were identified (64 % male, median ISS 21 [17-27]), and 60 % were admitted to verified PTCs. Overall mortality was 6.0 %. Mortality at centers with PTC verification was 5.1 % versus 7.3 % at centers without PTC verification (p < 0.001). After controlling for injury mechanism, sex, age, pediatric-adjusted shock index (SIPA), ISS, arrival via interhospital transfer, and adult trauma center verification, pediatric level I/II trauma center designation was independently associated with decreased mortality (OR 0.72, 95 % CI 0.61-0.85).

CONCLUSIONS

Treatment at ACS-verified pediatric trauma centers is associated with improved survival in critically injured children. These findings highlight the importance of PTC verification in optimizing outcomes for severely injured pediatric patients and should influence trauma center apportionment and prehospital triage.

LEVEL OF EVIDENCE

Level IV - Retrospective review of national database.

Utilization of Machine Learning Approaches to Predict Mortality in Pediatric Warzone Casualties

BACKGROUND

Identification of pediatric trauma patients at the highest risk for death may promote optimization of care. This becomes increasingly important in austere settings with constrained medical capabilities. This study aimed to develop and validate predictive models using supervised machine learning (ML) techniques to identify pediatric warzone trauma patients at the highest risk for mortality.

METHODS

Supervised learning approaches using logistic regression (LR), support vector machine (SVM), neural network (NN), and random forest (RF) models were generated from the Department of Defense Trauma Registry, 2008-2016. Models were tested and compared to determine the optimal algorithm for mortality.

RESULTS

A total of 2,007 patients (79% male, median age range 7-12 years old, 62.5% sustaining penetrating injury) met the inclusion criteria. Severe injury (Injury Severity Score > 15) was noted in 32.4% of patients, while overall mortality was 7.13%. The RF and SVM models displayed recall values of .9507 and .9150, while LR and NN displayed values of .8912 and .8895, respectively. Random forest (RF) outperformed LR, SVM, and NN on receiver operating curve (ROC) analysis demonstrating an area under the ROC of .9752 versus .9252, .9383, and .8748, respectively.

CONCLUSION

Machine learning (ML) techniques may prove useful in identifying those at the highest risk for mortality within pediatric trauma patients from combat zones. Incorporation of advanced computational algorithms should be further explored to optimize and supplement the diagnostic and therapeutic decision-making process.

Comparison of age-adjusted shock indices as predictors of injury severity in paediatric trauma patients immediately after emergency department triage: A report from the Korean multicentre registry

INTRODUCTION

Shock index paediatric-adjusted (SIPA) was presented for early prediction of mortality and trauma team activation in paediatric trauma patients. However, the derived cut-offs of normal vital signs were based on old references. We established alternative SIPAs based on the other commonly used references and compared their predictive values.

METHODS

We performed a retrospective review of all paediatric trauma patients aged 1-15 years in the Emergency Department (ED)-based Injury In-depth Surveillance (EDIIS) database from January 1, 2011 to December 31, 2019. A total of 4 types of SIPA values were obtained based on the references as follows: uSIPA based on the Nelson textbook of paediatrics 21st ed., SIATLS based on the ATLS 10th guideline, SIPALS based on the PALS 2020 guideline, and SIPA. In each SIPA group, the cut-off was established by dividing the group into 4 subgroups: toddler (age 1-3), preschooler (age 4-6), schooler (age 7-12), and teenager (age 13-15). We performed an ROC analysis and calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) to compare the predicted values of each SIPA in mortality, ICU admission, and emergent surgery or intervention.

RESULTS

A total of 332,271 patients were included. The proportion of patients with an elevated shock index was 14.9 % (n = 49,347) in SIPA, 22.8 % (n = 75,850) in uSIPA, 0.3 % (n = 1058) in SIATLS, and 4.3 % (n = 14,168) in SIPALS. For mortality, uSIPA achieved the highest sensitivity (57.0 %; 95 % confidence interval 56.9 %-57.2 %) compared to SIPA (49.4 %, 95 % CI 49.2 %-49.5 %), SIATLS (25.5 %, 95 % CI 25.4 %-25.7 %), and SIPALS (43.8 %, 95 % CI 43.7 %-44.0 %), but there were no significant differences in the negative predictive value (NPV) or area under the curve (AUC). The positive predictive value (PPV) was highest in SIATLS (5.7 %, 95 % CI 5.6 %-5.8 %) compared to SIPA (0.2 %, 95 % CI 0.2 %-0.3 %), uSIPA (0.2 %, 95 % CI 0.2 %-0.2 %), and SIPALS (0.7 %, 95 % CI 0.7 %-0.8 %). The same findings were presented in ICU admission and emergent operation or intervention.

CONCLUSION

The ATLS-based shock index achieved the highest PPV and specificity compared to SIPA, uSIPA, and SIPALS for adverse outcomes in paediatric trauma.

Pediatric vs Adult or Mixed Trauma Centers in Children Admitted to Hospitals Following Trauma: A Systematic Review and Meta-Analysis

Importance

Adult trauma centers (ATCs) have been shown to decrease injury mortality and morbidity in major trauma, but a synthesis of evidence for pediatric trauma centers (PTCs) is lacking.

Objective

To assess the effectiveness of PTCs compared with ATCs, combined trauma centers (CTCs), or nondesignated hospitals in reducing mortality and morbidity among children admitted to hospitals following trauma.

Data Sources

MEDLINE, Embase, and Web of Science through March 2023.

Study Selection

Studies comparing PTCs with ATCs, CTCs, or nondesignated hospitals for pediatric trauma populations (aged ≤19 years).

Data Extraction and Synthesis

This systematic review and meta-analysis was performed following the Preferred Reporting Items for Systematic Review and Meta-analysis and Meta-analysis of Observational Studies in Epidemiology guidelines. Pairs of reviewers independently extracted data and evaluated risk of bias using the Risk of Bias in Nonrandomized Studies of Interventions tool. A meta-analysis was conducted if more than 2 studies evaluated the same intervention-comparator-outcome and controlled minimally for age and injury severity. Subgroup analyses were planned for age, injury type and severity, trauma center designation level and verification body, country, and year of conduct. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to assess certainty of evidence.

Main Outcome(s) and Measure(s)

Primary outcomes were mortality, complications, functional status, discharge destination, and quality of life. Secondary outcomes were resource use and processes of care, including computed tomography (CT) and operative management of blunt solid organ injury (SOI).

Results

A total of 56 studies with 286 051 participants were included overall, and 34 were included in the meta-analysis. When compared with ATCs, PTCs were associated with a 41% lower risk of mortality (OR, 0.59; 95% CI, 0.46-0.76), a 52% lower risk of CT use (OR, 0.48; 95% CI, 0.26-0.89) and a 64% lower risk of operative management for blunt SOI (OR, 0.36; 95% CI, 0.23-0.57). The OR for complications was 0.80 (95% CI, 0.41-1.56). There was no association for mortality for older children (OR, 0.71; 95% CI, 0.47-1.06), and the association was closer to the null when PTCs were compared with CTCs (OR, 0.73; 95% CI, 0.53-0.99). Results remained similar for other subgroup analyses. GRADE certainty of evidence was very low for all outcomes.

Conclusions and Relevance

In this systematic review and meta-analysis, results suggested that PTCs were associated with lower odds of mortality, CT use, and operative management for SOI than ATCs for children admitted to hospitals following trauma, but certainty of evidence was very low. Future studies should strive to address selection and confounding biases.

Paediatric Major Trauma: A Retrospective Observational Comparison of Mortality in Prehospital Bypass and Secondary Transfer in the East of England

Background More than half of seriously injured children are not initially treated at a major trauma centre (MTC). Children may be transported by private vehicle to a trauma unit (TU). Children may also be transported by emergency medical services (EMS) to the nearest TU with approximately one in five of these undergoing secondary transfer to an MTC. Most trauma networks permit TU bypass to an MTC. However, the evidence on outcomes between transfer and bypass is limited. This study aimed to evaluate the use of the trauma network by comparing outcomes between paediatric major trauma patients by the method of presentation. Methods In this retrospective observational study, a consecutive sample of paediatric (<16 years old) major trauma patients transported to the regional MTC (Cambridge University Hospitals NHS Foundation Trust (CUH)) between 1st January 2015 and 31st December 2020 was included. Patients were excluded if they arrived at the MTC >24 hours post-injury or were transported to the MTC as the nearest hospital. Patients were divided into four groups: self-presented to MTC, MTC as nearest hospital, bypass and secondary transfer. Results A total of 315 patients (28 'self-presented', 55 'nearest', 58 'bypass' and 174 'secondary transfers') were included. The median age was 9.4 [3.7-13.6] years, and n=209 (66.3%) were male. The median Injury Severity Score (ISS) was 16.0 [9.0-25.0] and n=190 (60.3%) had an ISS >15. There was no difference in 30-day mortality between the 'bypass' and 'secondary transfer' groups. There was a significantly longer hospital and intensive care unit length of stay (LOS) in the bypass group compared to other groups, both p<0.001. The median time to definitive care was five hours greater in the secondary transfer group compared to 'bypass' (bypass 117.6 minutes [100.8-136.6], secondary transfer 418.8 minutes [315.6-529.8]). Conclusion There was no significant difference in 30-day mortality of paediatric major trauma patients who underwent secondary transfer compared to those transported directly from the scene to the MTC, despite significant time delays in reaching definitive care.

Adding age-adjusted shock index to the American College of Surgeons' trauma team activation criteria to predict severe injury in children

BACKGROUND

The American College of Surgeons (ACS) requires trauma centers to use six minimum criteria (ACS-6) for full trauma team activation. Our goal was to evaluate the effect of adding age-adjusted shock index (SI) to the ACS-6 for the prediction of severe injury among pediatric trauma patients with the hypothesis that SI would significantly improve sensitivity with an acceptable decrease in specificity.

METHODS

We performed a secondary analysis of prospectively collected EMS and trauma registry data from two urban pediatric trauma centers. Age-adjusted SI thresholds were calculated as heart rate divided by systolic blood pressure using 2020 Pediatric Advanced Life Support SI vital sign ranges and previously published Shock Index, Pediatric Adjusted (SIPA) thresholds. The primary outcome was a composite of emergency operative (within 1 hour of arrival) or emergency procedural intervention (EOPI) or Injury Severity Score (ISS) greater than 15. Sensitivities, specificities, and 95% CIs were calculated for the ACS-6 alone and in combination with age-adjusted SI.

RESULTS

There were 8,078 patients included; 20% had an elevated age-adjusted SI and 17% met at least one ACS minimum criterion; 1% underwent EOPI; and 17% had ISS >15. Sensitivity and specificity of the ACS-6 for EOPI or ISS > 5 were 45% (95% confidence interval [CI], 41-50%) and 89% (95% CI, 81-96%). Inclusion of Pediatric Advanced Life Support-SI and SIPA resulted in sensitivities of 51% (95% CI, 47-56%) and 69% (95% CI, 65-72%), and specificities of 80% (95% CI, 71-89%) and 60% (95% CI, 53-68%), respectively. Similar trends were seen for each secondary outcome.

CONCLUSION

In this cohort of pediatric trauma registry patients, the addition of SIPA to the ACS-6 for trauma team activation resulted in significantly increased sensitivity for EOPI or ISS greater than 15 but poor specificity. Future investigation should explore using age-adjusted shock index in a two-tiered trauma activation system, or in combination with novel triage criteria, in a population-based cohort.

LEVEL OF EVIDENCE

Diagnostic Tests or Criteria; Level II.

Definitive Care for Severely Injured Children in Quebec

INTRODUCTION

Injury is the leading cause of death in children over the age of one in Canada, and remains the most common cause of death in Quebec pediatric patients. Indigenous communities are 3-4 times more likely to be affected by injuries than the national average. In Quebec, health centres can range from 30 to 1000 km away from the closest level I trauma center.

METHODS

Descriptive analysis and multiple logistic regression were performed for severely injured pediatric trauma patients received at the Montreal Children's Hospital (MCH) over a ten-year period. Outcomes were compared between regional groups in Quebec using forward sortation areas.

RESULTS

Two hundred and forty four pediatric patients presented to the MCH with major trauma between 2006 and 2016. Of those, 42% of patients resided in Montreal, 42% off-island, and 16% in Northern Quebec. Admission to the Intensive Care Unit (ICU) was required for 60% of off-island patients and 58% of Northern residents. The median length of hospital stay (LOS) was 5 days for off-island and 15 days for Northern patients. Most patients (78% off-island vs. 76% Northern Quebec) were discharged home. The overall mortality was 5%. In multiple regression analysis, residence in Northern Quebec was associated with increased incidence of longer than median length of stay compared to off-island patients (OR 2.78, 95%CI (1.12-7.29)) after adjusting for injury severity, operative intervention, age, and sex.

CONCLUSION

ICU admission rate was similar among Northern and off-island populations. Patients from Northern Quebec appeared to have longer-than-median hospital length of stay. In-hospital mortality was infrequent and limited to on-island and off-island populations. A further exploration of this data is required to identify the "trauma deserts" and advocate for children involved in trauma in all areas of Quebec.

Does shock index, pediatric age-adjusted predict mortality by trauma center type?

BACKGROUND

Pediatric trauma patients are treated at adult trauma centers (ATCs), mixed pediatric and ATCs (MTC), or pediatric trauma centers (PTCs). Shock index, pediatric age-adjusted (SIPA) can prospectively identify severely injured children. This study characterized the differences in mortality and hospital length of stay (LOS) among pediatric trauma patients with elevated SIPA (eSIPA) at different trauma centers types.

METHODS

Pediatric patients (1-14 years) were queried from the 2013 to 2016 National Trauma Data Bank. Patients with eSIPA were included for analysis. The primary outcome was mortality. Secondary outcomes included rates of splenectomy, computed tomography chest scans, laparotomy, and hospital LOS. Unadjusted frequencies and multivariable regression analyses were performed. An alpha level of 0.01 was used to determine significance.

RESULTS

Out of 189,003 pediatric trauma patients, 15,832 were included for analysis. After controlling for age, race, sex, payment method, Injury Severity Score, Glasgow Coma Scale score, hospital teaching status, and number of hospital beds, there was no significant difference in mortality among eSIPA patients at ATCs (odds ratio [OR], 0.753; p = 0.078) and MTCs (OR, 1.051; p = 0.776) when compared with PTCs. This remained true even among the most severely injured eSIPA patients (Injury Severity Score > 25). Splenectomy rates were higher at ATCs (OR, 3.234; p = 0.005), as were computed tomography chest scan rates (ATC OR, 4.423; p < 0.001; MTC OR, 6.070; p < 0.001) than at PTCs. There was a trend toward higher splenectomy rates at MTCs (OR, 2.910; p = 0.030) compared with PTCs, but this did not reach statistical significance. Laparotomy rates and hospital LOS were not significantly different.

CONCLUSION

Among eSIPA pediatric trauma patients, there was no difference in mortality between trauma center types. However, other secondary findings indicate that specialty care at PTCs may help optimize the care of pediatric trauma patients.

LEVEL OF EVIDENCE

Retrospective cohort study, level IV.

Machine learning for outcome predictions of patients with trauma during emergency department care

OBJECTIVES

To develop and evaluate a machine learning model for predicting patient with trauma mortality within the US emergency departments.

METHODS

This was a retrospective prognostic study using deidentified patient visit data from years 2007 to 2014 of the National Trauma Data Bank. The predictive model intelligence building process is designed based on patient demographics, vital signs, comorbid conditions, arrival mode and hospital transfer status. The mortality prediction model was evaluated on its sensitivity, specificity, area under receiver operating curve (AUC), positive and negative predictive value, and Matthews correlation coefficient.

RESULTS

Our final dataset consisted of 2 007 485 patient visits (36.45% female, mean age of 45), 8198 (0.4%) of which resulted in mortality. Our model achieved AUC and sensitivity-specificity gap of 0.86 (95% CI 0.85 to 0.87), 0.44 for children and 0.85 (95% CI 0.85 to 0.85), 0.44 for adults. The all ages model characteristics indicate it generalised, with an AUC and gap of 0.85 (95% CI 0.85 to 0.85), 0.45. Excluding fall injuries weakened the child model (AUC 0.85, 95% CI 0.84 to 0.86) but strengthened adult (AUC 0.87, 95% CI 0.87 to 0.87) and all ages (AUC 0.86, 95% CI 0.86 to 0.86) models.

CONCLUSIONS

Our machine learning model demonstrates similar performance to contemporary machine learning models without requiring restrictive criteria or extensive medical expertise. These results suggest that machine learning models for trauma outcome prediction can generalise to patients with trauma across the USA and may be able to provide decision support to medical providers in any healthcare setting.

The Association of Glasgow Coma Scale Score With Clinically Important Traumatic Brain Injuries in Children

OBJECTIVE

An accurate understanding of the incidence of clinically important traumatic brain injuries (ciTBIs) based on presenting Glasgow Coma Scale (GCS) scores in pediatric patients is required to formulate a pretest probability of disease to guide testing and treatment. Our objective was to determine the prevalence of ciTBI and neurosurgical intervention for each GCS score (range 3-15) in children presenting after blunt head trauma.

METHODS

This was a secondary analysis of prospectively collected observational data from 25 pediatric emergency departments in the Pediatric Emergency Care Applied Research Network. Patients younger than 18 years with nontrivial blunt head injury were included.

RESULTS

A total of 43,379 children with complete GCS scores were included in the analysis. Seven hundred sixty-three children had ciTBIs (1.8%) and 200 underwent neurosurgery (0.5%). Children with GCS scores of 4 had the highest incidence of ciTBI (21/22, 95.5%) and neurosurgical intervention (16/22, 72.2%). A nearly linear decrease in the prevalence of ciTBI from a GCS score of 4 to a score of 15 was observed (R = 0.92). Of 1341 children, 107 (8.0%) presenting with GCS scores of 14 were found to have ciTBIs and 17 (1.3%) underwent neurosurgical intervention.

CONCLUSIONS

A nearly linear relationship exists between the initial GCS score and ciTBI in children with blunt head trauma. The highest prevalence of ciTBI and neurosurgical intervention occurred in children with GCS scores of 4. Children presenting with GCS scores of 14 had a nonnegligible prevalence of ciTBI. These findings are critical to providers caring for children with blunt head trauma to accurately formulate pretest probabilities of ciTBI.

The economics of a pediatric surgical ICU

PURPOSE OF REVIEW

The purpose of this review is to describe quality and financial economic principles that form the foundation for complex care delivery systems for the critically ill pediatric surgical population.

RECENT FINDINGS

Advances in neonatology along with innovation in surgical techniques in children led to the need to care for more complex postoperative surgical patients. Several studies have demonstrated improved outcomes in specialized pediatric centers. Furthermore, there is some evidence to suggest that there is overall financial benefit with decreased costs and more efficient resource use to pediatric subspecialty critical care.

SUMMARY

As more becomes known regarding the impact of specialized ICU environments, pediatric surgical critical care, and pediatric surgical ICUs have the potential to improve the value of care delivered to these complex patients. Well-designed, prospective, observational studies are needed to assist in defining appropriate outcome and quality measures to inform the development of these specialized units. Currently, there are a variety of models used in children's hospitals to care for critically ill surgical patients. This represents a tremendous opportunity for a collaborative, multidisciplinary effort amongst pediatric medical and surgical intensivists.

Simulation-based training is associated with lower risk-adjusted mortality in ACS pediatric TQIP centers

BACKGROUND

Although use of simulation-based team training for pediatric trauma resuscitation has increased, its impact on patient outcomes has not yet been shown. The purpose of this study was to determine the association between simulation use and patient outcomes.

METHODS

Trauma centers that participate in the American College of Surgeons (ACS) Pediatric Trauma Quality Improvement Program (TQIP) were surveyed to determine frequency of simulation use in 2014 and 2015. Center-specific clinical data for 2016 and 2017 were abstracted from the ACS TQIP registry (n = 57,916 patients) and linked to survey responses. Center-specific risk-adjusted mortality was estimated using multivariable hierarchical logistic regression and compared across four levels of simulation-based training use: no training, low-volume training, high-volume training, and survey nonresponders (unknown training use).

RESULTS

Survey response rate was 75% (94/125 centers) with 78% of the responding centers (73/94) reporting simulation use. The average risk-adjusted odds of mortality was lower in centers with a high volume of training compared with centers not using simulation (odds ratio, 0.58; 95% confidence interval, 0.37-0.92). The times required for resuscitation processes, evaluations, and critical procedures (endotracheal intubation, head computed tomography, craniotomy, and surgery for hemorrhage control) were not different between centers based on levels of simulation use.

CONCLUSION

Risk-adjusted mortality is lower in TQIP-Pediatric centers using simulation-based training, but this improvement in mortality may not be mediated by a reduction in time to critical procedures. Further investigation into alternative mediators of improved mortality associated with simulation use is warranted, including assessment of resuscitation quality, improved communication, enhanced teamwork skills, and decreased errors.

LEVEL OF EVIDENCE

Therapeutic/care management, Level III.

Pediatric trauma mortality: an ecological analysis evaluating correlation between injury-related mortality and geographic access to trauma care in the United States in 2010

Background

Trauma is the leading cause of mortality in the pediatric population &gt;1 year. Analyzing relationships between pediatric trauma-related mortality and geographic access to trauma centers (among other social covariates) elucidates the importance of cost and care effective regionalization of designated trauma facilities.

Methods

Pediatric crude injury mortality in 49 United States served as a dependent variable and state population within 45 minutes of trauma centers acted as the independent variable in four linear regression models. Multivariate analyses were performed using previously identified demographics as covariates.

Results

There is a favorable inverse relation between pediatric access to trauma centers and pediatric trauma-related mortality. Though research shows care is best at pediatric trauma centers, access to Adult Level 1 or 2 trauma centers held the most predictive power over mortality. A 4-year college degree attainment proved to be the most influential covariate, with predictive powers greater than the proximity variable.

Conclusions

Increased access to adult or pediatric trauma facilities yields improved outcomes in pediatric trauma mortality. Implementation of qualified, designated trauma centers, with respect to regionalization, has the potential to further lower pediatric mortality. Additionally, the percentage of state populations holding 4-year degrees is a stronger predictor of mortality than proximity and warrants further investigation.

Criteria for Critical Care Infants and Children: PICU Admission, Discharge, and Triage Practice Statement and Levels of Care Guidance

OBJECTIVES

To update the American Academy of Pediatrics and Society of Critical Care Medicine's 2004 Guidelines and levels of care for PICU.

DESIGN

A task force was appointed by the American College of Critical Care Medicine to follow a standardized and systematic review of the literature using an evidence-based approach. The 2004 Admission, Discharge and Triage Guidelines served as the starting point, and searches in Medline (Ovid), Embase (Ovid), and PubMed resulted in 329 articles published from 2004 to 2016. Only 21 pediatric studies evaluating outcomes related to pediatric level of care, specialized PICU, patient volume, or personnel. Of these, 13 studies were large retrospective registry data analyses, six small single-center studies, and two multicenter survey analyses. Limited high-quality evidence was found, and therefore, a modified Delphi process was used. Liaisons from the American Academy of Pediatrics were included in the panel representing critical care, surgical, and hospital medicine expertise for the development of this practice guidance. The title was amended to "practice statement" and "guidance" because Grading of Recommendations, Assessment, Development, and Evaluation methodology was not possible in this administrative work and to align with requirements put forth by the American Academy of Pediatrics.

METHODS

The panel consisted of two groups: a voting group and a writing group. The panel used an iterative collaborative approach to formulate statements on the basis of the literature review and common practice of the pediatric critical care bedside experts and administrators on the task force. Statements were then formulated and presented via an online anonymous voting tool to a voting group using a three-cycle interactive forecasting Delphi method. With each cycle of voting, statements were refined on the basis of votes received and on comments. Voting was conducted between the months of January 2017 and March 2017. The consensus was deemed achieved once 80% or higher scores from the voting group were recorded on any given statement or where there was consensus upon review of comments provided by voters. The Voting Panel was required to vote in all three forecasting events for the final evaluation of the data and inclusion in this work. The writing panel developed admission recommendations by level of care on the basis of voting results.

RESULTS

The panel voted on 30 statements, five of which were multicomponent statements addressing characteristics specific to PICU level of care including team structure, technology, education and training, academic pursuits, and indications for transfer to tertiary or quaternary PICU. Of the remaining 25 statements, 17 reached consensus cutoff score. Following a review of the Delphi results and consensus, the recommendations were written.

CONCLUSIONS

This practice statement and level of care guidance manuscript addresses important specifications for each PICU level of care, including the team structure and resources, technology and equipment, education and training, quality metrics, admission and discharge criteria, and indications for transfer to a higher level of care. The sparse high-quality evidence led the panel to use a modified Delphi process to seek expert opinion to develop consensus-based recommendations where gaps in the evidence exist. Despite this limitation, the members of the Task Force believe that these recommendations will provide guidance to practitioners in making informed decisions regarding pediatric admission or transfer to the appropriate level of care to achieve best outcomes.

Rural health, telemedicine and access for pediatric surgery

PURPOSE OF REVIEW

Access to care for children requiring pediatric general or specialty surgery or trauma care who live in rural areas remains a challenge in the United States.

RECENT FINDINGS

The expertise of specialists in tertiary centers can be extended to rural and underserved areas using telemedicine. There are challenges to making these resources available that need to be methodically approached to facilitate appropriate relationships between hospitals and providers. Programs, such as the National Pediatric Readiness Project and the HRSA Emergency Medical Services for Children Program enhance the capability of the emergency care system to function optimally, keep children at the home hospital if resources are available, facilitate transfer of patients and relationship building, and develop necessary transfer protocols and guidelines between hospitals.

SUMMARY

Telehealth services have the potential to enhance the reach of tertiary care for children in rural and underserved areas where surgical and trauma specialty care is not readily available, particularly when used to augment the objectives of national programs.

Impact of Simulation-Based Training on Perceived Provider Confidence in Acute Multidisciplinary Pediatric Trauma Resuscitation

PURPOSE

Simulation-based training has the potential to improve team-based care. We hypothesized that implementation of an in situ multidisciplinary simulation-based training program would improve provider confidence in team-based management of severely injured pediatric trauma patients.

METHODS

An in situ multidisciplinary pediatric trauma simulation-based training program with structured debriefing was implemented at a free-standing children's hospital. Trauma providers were anonymously surveyed 1 month before (pre-), 1 month after (post-), and 2 years after implementation.

RESULTS

Survey response rate was 49% (n = 93/190) pre-simulation, 22% (n = 42/190) post-simulation, and 79% (n = 150/190) at 2-year follow-up. These providers reported more anxiety (p = 0.01) and less confidence (p = 0.02) 1-month post-simulation. At 2-year follow-up, trained providers reported less anxiety (p = 0.02) and greater confidence (p = 0.01), compared to untrained providers.

CONCLUSIONS

Implementation of an in situ multidisciplinary pediatric trauma simulation-based training program may initially lead to increased anxiety, but long-term exposure may lead to greater confidence.

LEVEL OF EVIDENCE

II, Prospective cohort.

Secondary overtriage of pediatric neurosurgical trauma at a Level I pediatric trauma center

The authors looked at all of the pediatric patients with a head injury who were transferred from other hospitals to their own over 12 years and tried to identify factors that would allow patients to stay closer to home at their local hospitals and not be transferred. Many patients with isolated, nondisplaced skull fractures or negative CT imaging likely could have avoided transfer. While hospitals should be cautious, this may help families stay closer to home.

Atraumatic Transition from a Pediatric Emergency Center to a Pediatric Trauma Center: A Fight for Better Outcomes

Opening a new pediatric trauma center (PTC) is a sizable undertaking. A pediatric trauma team of specialists must be assembled, appropriate equipment and facilities prepared, and staff educated. Our PTC opened in May 2016, before that we had a pediatric emergency center. This study aimed to evaluate initial performance, and compare practices and outcomes before and after becoming a PTC. A review of prospectively collected data using our hospital's Trauma Registry. We compared patient profiles and outcomes 4.5 years before and one year after our hospital became a PTC. Demographic variables, outcomes, Injury Severity Score, and surgical interventions were compared. Chi Squared analysis and t test were used, with significance defined as P < 0.05. For the 4.5 years before opening the PTC, we averaged 96 pediatric trauma admissions annually. After opening, we had 289 admissions in one year, (146% increase, P < 0.05). Mean Injury Severity Score significantly increased from 3.7 to 5.3 postopening (P < 0.05), as did the number of surgical interventions from 19 to 88 (P < 0.001), but mortality did not change (no deaths). Transfers out of the hospital significantly decreased (3.8%) compared with preopening (10.4%, P = 0.03), whereas transfers into the hospital significantly increased, (38 compared with 62, P = 0.003). When mode of transportation was compared, pre- and postopening of the PTC, patient transport by air increased from 3 per cent to 35 per cent (P < 0.001). Transitioning from a pediatric emergency center to a PTC resulted in increased patient volumes, presentation of more severely injured patients, and increased surgical interventions, without a change in mortality.

Perspectives of health professionals on the best care settings for pediatric trauma casualties: a qualitative study

BACKGROUND

Critically-injured children are frequently treated by providers who lack specialty pediatric training in facilities that have not been modified for the care of children. We set out to understand the attitudes and perspectives of policy makers, and senior nursing and medical managers in the Israeli healthcare system, concerning the provision of medical care to pediatric trauma casualties in emergency departments.

METHODS

We conducted semi-structured interviews with 17 health professionals from medical centers across Israel and the Ministry of Health. The interviews were analyzed by qualitative methods.

RESULTS

There was lack of clarity and uniformity concerning the definition of a pediatric trauma casualty. All of the participants attributed extreme importance to the professional level of the care team manager, and most suggested that this should be a pediatric emergency medicine specialist. They emphasized the importance of around-the-clock availability of pediatric medical teams to care for young trauma casualties, and the crucial need for caregivers to be equipped with a wide variety of professional skills for the adequate treatment of a broad spectrum of injuries. All participants described significant variability in pediatric-care training and experience among physicians and nurses working in emergency departments. Most participants believe that pediatric trauma casualties should be treated in designated pediatric emergency departments, in a limited number of medical centers across the country.

CONCLUSIONS

Our findings indicate that specialized pediatric EDs would constitute the best location for intake of children with major traumatic injuries. Pediatric emergency medicine specialists should manage trauma cases using pediatric surgeons as ad-hoc consultants. The term 'pediatric patient' should be defined to allow trauma patients to be referred to the most appropriate ED. Teams working at these EDs should undergo specialized pediatric emergency medicine training. Finally, to regulate the key aspects of trauma care, clear statutory guidelines should be formulated at national and local levels.

Timing of mortality in pediatric trauma patients: A National Trauma Data Bank analysis

BACKGROUND/PURPOSE

The classic "trimodal" distribution of death has been described in adult patients, but the timing of mortality in injured children is not well understood. The purpose of this study was to define the temporal distribution of mortality in pediatric trauma patients.

METHODS

A retrospective cohort of patients with mortality from the National Trauma Data Bank (2007-2014) was analyzed. Categorical comparison of 'dead on arrival', 'death in the emergency department', and early (≤24h) or late (>24h) inpatient death was performed. Secondary analyses included mortality by pediatric age, predictors of early mortality, and late complication rates.

RESULTS

Children (N=5463 deaths) had earlier temporal distribution of death compared to adults (n=104,225 deaths), with 51% of children dead on arrival or in ED compared to 44% of adults (p<0.001). For patients surviving ED resuscitation, children and adolescents had a shorter median time to death than adults (1.2 d and 0.8 days versus 1.6 days, p<0.001). Older age, penetrating mechanism, bradycardia, hypotension, tube thoracostomy, and thoracotomy were associated with early mortality in children.

CONCLUSIONS

Injured children have higher incidence of early mortality compared to adults. This suggests that injury prevention efforts and strategies for improving early resuscitation have potential to improve mortality after pediatric injury.

LEVEL OF EVIDENCE

Level III: Retrospective cohort study.

Evolution of a level I pediatric trauma center: Changes in injury mechanisms and improved outcomes

BACKGROUND

Trauma is the leading cause of mortality among children, underscoring the need for specialized child-centered care. The impact on presenting mechanisms of injury and outcomes during the evolution of independent pediatric trauma centers is unknown. The aim of this study was to evaluate the impact of our single center transition from an adult to American College of Surgeons-verified pediatric trauma center.

METHODS

A retrospective analysis was performed of 1,190 children who presented as level I trauma activations between 2005 and 2016. Patients were divided into 3 chronological treatment eras: adult trauma center, early pediatric trauma center, and late pediatric trauma center after American College of Surgeons verification review. Comparisons were made using Pearson χ², Wilcoxon rank sum, and Kruskal-Wallis tests.

RESULTS

The predominant mechanism of injury was motor vehicle crash, with increases noted in assault/abuse (2% adult trauma center, 11% late pediatric trauma center). A decrease in intensive care admissions was identified during late pediatric trauma center compared with early pediatric trauma center and adult trauma center (51% vs 62.4% vs 67%, P < .001), with concomitant increases in admissions to the floor and immediate operative interventions, but overall mortality was unchanged.

CONCLUSION

Transition to a verified pediatric trauma center maintains the safety expected of the American College of Surgeons certification, but with notable changes identified in mechanism of injury and improvements in resource utilization.

Comparison of outcomes in severe pediatric trauma at adult trauma centers with different trauma case volumes

BACKGROUND

In addition to trauma center levels and types, trauma volume may be an important factor impacting outcomes in severe pediatric trauma.

METHODS

All severely injured pediatric patients treated at adult trauma centers were identified from the National Trauma Data Bank. All qualifying centers were stratified into four groups based on the cumulative pediatric trauma case volumes with ISS >15: lowest (group 1), lower (group 2), higher (group 3), and highest (group 4) volume centers. Mortality rates among the groups were compared.

RESULTS

A total of 3747 patients were stratified into group 1 (n=2122, median annual pediatric trauma volume 3 cases/year), group 2 (n=842, 15 cases/year), group 3 (n=494, 24 cases/year), and group 4 (n=289, 43 cases/year). In the hierarchical logistic regression analysis, the highest volume centers (group 4) were shown to have improved mortality (odds ratio 0.474, 95% confidence interval [CI] 0.301-0.747) compared to the lowest volume centers (group 1). Odds ratios of group 4 against group 1 for subgroups were 0.634 (age<10, 95% CI 0.335-1.198), 0.491 (blunt injury, 95% CI 0.310-0.777), and 0.495 (level 1 center, 95% CI 0.312-0.785).

CONCLUSIONS

In severe pediatric trauma treated at adult trauma centers, higher volume centers were associated with improved mortality in comparison to the lower volume centers.

LEVEL OF EVIDENCE

Level III, therapeutic/care management, retrospective comparative study without negative criteria.

Epidemiology of paediatric trauma presenting to US emergency departments: 2006-2012

BACKGROUND

Traumatic injury is the leading cause of paediatric morbidity and mortality in the USA. We present updated national data on emergency department (ED) discharges for traumatic injury for a recent 7-year period.

METHODS

We conducted a descriptive epidemiological analysis of the Nationwide Emergency Department Sample Survey, the largest and most comprehensive database in the USA, for 2006-2012. Among children and adolescents, we tracked changes in injury mechanism and severity, cost of care, injury intent and the role of trauma centres.

RESULTS

There was an 8.3% (95% CI 7.7 to 8.9) decrease in the annual number of ED visits for traumatic injury in children and adolescents over the study period, from 8 557 904 (SE=5861) in 2006 to 7 846 912 (SE=5191) in 2012. The case-fatality rate was 0.04% for all injuries and 3.2% for severely injured children. Children and adolescents with high-mortality injury mechanisms were more than three times more likely to be treated at a level 1 trauma centre (OR=3.5, 95% CI 3.3 to 3.7), but were more no more likely to die (OR=0.96, 95% CI 0.93 to 1.00). Traumatic brain injury diagnoses increased 22.2% (95% CI 20.6 to 23.9) during the study period. Intentional assault accounted for 3% (SE=0.1) of all child and adolescent ED injury discharges and 7.2% (SE=0.3) of discharges among 15-19 year-olds. There was an 11.3% (95% CI 10.0 to 12.6) decline in motor vehicle injuries from 2009 to 2012. The total cost of care was $23 billion (SE=0.01), a 78% increase from 2006 to 2012.

CONCLUSIONS

This analysis presents a recent portrait of paediatric trauma across the USA. These analyses indicate the important role and value of trauma centre care for injured children and adolescents, and that the most common causes and mechanisms of injury are preventable.

Risk factors for nonelective 30-day readmission in pediatric assault victims

PURPOSE

Hospital readmission in trauma patients is associated with significant morbidity and increased healthcare costs. There is limited published data on early hospital readmission in pediatric trauma patients. As presently in healthcare outcomes and readmissions rates are increasingly used as hospital quality indicators, it is paramount to recognize risk factors for readmission. We sought to identify national readmission rates in pediatric assault victims and identify the most common readmission diagnoses among these patients.

METHODS

The Nationwide Readmission Database (NRD) for 2013 was queried for all patients under 18years of age with a non-elective admission with an E-code that is designed as assault using National Trauma Data Bank Standards. Multivariate logistic regression was implemented using 18 variables to determine the odds ratios (OR) for non-elective readmission within 30-days.

RESULTS

There were 4050 pediatric victims of assault and 92 (2.27%) died during the initial admission. Of the surviving patients 128 (3.23%) were readmitted within 30days. Of these readmitted patients 24 (18.75%) were readmitted to a different hospital and 31 (24.22%) were readmitted for repeated assault. The variables associated with the highest risk for non-elective readmission within 30-days were: length of stay (LOS) >7days (OR 3.028, p<0.01, 95% CI 1.67-5.50), psychoses (OR 3.719, p<0.01, 95% CI 1.70-8.17), and weight loss (OR 4.408, p<0.01, 95% CI 1.92-10.10). The most common readmission diagnosis groups were bipolar disorders (8.2%), post-operative, posttraumatic, or other device infections (6.2%), or major depressive disorders and other/unspecified psychoses (5.2%).

CONCLUSIONS

Readmission after pediatric assault represents a significant resource burden and almost a quarter of those patients are readmitted after a repeated assault. Understanding risk factors and reasons for readmission in pediatric trauma assault victims can improve discharge planning, family education, and outpatient support, thereby decreasing overall costs and resource burden. Psychoses, weight loss, and prolonged hospitalization are independent prognostic indicators of readmission in pediatric assault patients.

LEVEL OF EVIDENCE

Level IV - Prognostic and Epidemiological - Retrospective Study.

Comparison of pediatric motor vehicle collision injury outcomes at Level I trauma centers

OBJECTIVE

Examine the association of American College of Surgeons Level I pediatric trauma center designation with outcomes of pediatric motor vehicle collision-related injuries.

METHODS

Observational study of the 2009-2012 National Trauma Data Bank, including n=28,145 patients <18years directly transported to a Level I trauma center. Generalized estimating equations estimated odds ratios (ORs) for injury outcomes, comparing freestanding pediatric trauma centers (PTCs) with adult centers having added Level I pediatric qualifications (ATC+PTC) and general adult trauma centers (ATC). Models were stratified by age following PTC designation guidelines, and adjusted for demographic and clinical risk factors.

RESULTS

Analyses included n=16,643 children <15 and n=11,502 adolescents 15-17years. Among children, odds of laparotomy (OR=1.88, 95% CI 1.28-2.74) and pneumonia (OR=2.13, 95% CI 1.32-3.46) were greater at ATCs vs. freestanding PTCs. Adolescents treated at ATC+PTCs or ATCs experienced greater odds of death (OR=2.18, 95% CI 1.30-3.67; OR=1.98, 95% CI 1.37-2.85, respectively) and laparotomy (OR=4.33, 95% CI 1.56-12.02; OR=5.11, 95% CI 1.92-13.61, respectively).

CONCLUSIONS

Compared with freestanding PTCs, children treated at general ATCs experienced more complications; adolescents treated at ATC+PTCs or general ATCs had greater odds of death. Identification and sharing of best practices among Level I trauma centers may reduce variation in care and improve outcomes for children.

Management of Pediatric Trauma

Injury is still the number 1 killer of children ages 1 to 18 years in the United States (http://www.cdc.gov/nchs/fastats/children.htm). Children who sustain injuries with resulting disabilities incur significant costs not only for their health care but also for productivity lost to the economy. The families of children who survive childhood injury with disability face years of emotional and financial hardship, along with a significant societal burden. The entire process of managing childhood injury is enormously complex and varies by region. Only the comprehensive cooperation of a broadly diverse trauma team will have a significant effect on improving the care of injured children.

Association Between Trauma Center Type and Mortality Among Injured Adolescent Patients

IMPORTANCE

Although data obtained from regional trauma systems demonstrate improved outcomes for children treated at pediatric trauma centers (PTCs) compared with those treated at adult trauma centers (ATCs), differences in mortality have not been consistently observed for adolescents. Because trauma is the leading cause of death and acquired disability among adolescents, it is important to better define differences in outcomes among injured adolescents by using national data.

OBJECTIVES

To use a national data set to compare mortality of injured adolescents treated at ATCs, PTCs, or mixed trauma centers (MTCs) that treat both pediatric and adult trauma patients and to determine the final discharge disposition of survivors at different center types.

DESIGN, SETTING, AND PARTICIPANTS

Data from level I and II trauma centers participating in the 2010 National Trauma Data Bank (January 1 to December 31, 2010) were used to create multilevel models accounting for center-specific effects to evaluate the association of center characteristics (PTC, ATC, or MTC) on mortality among patients aged 15 to 19 years who were treated for a blunt or penetrating injury. The models controlled for sex; mechanism of injury (blunt vs penetrating); injuries sustained, based on the Abbreviated Injury Scale scores (post-dot values <3 or ≥3 by body region); initial systolic blood pressure; and Glasgow Coma Scale scores. Missing data were managed using multiple imputation, accounting for multilevel data structure. Data analysis was conducted from January 15, 2013, to March 15, 2016.

EXPOSURES

Type of trauma center.

MAIN OUTCOMES AND MEASURES

Mortality at each center type.

RESULTS

Among 29 613 injured adolescents (mean [SD] age, 17.3 [1.4] years; 72.7% male), most were treated at ATCs (20 402 [68.9%]), with the remainder at MTCs (7572 [25.6%]) or PTCs (1639 [5.5%]). Adolescents treated at PTCs were more likely to be injured by a blunt than penetrating injury mechanism (91.4%) compared with those treated at ATCs (80.4%) or MTCs (84.6%). Mortality was higher among adolescents treated at ATCs and MTCs than those treated at PTCs (3.2% and 3.5% vs 0.4%; P < .001). The adjusted odds of mortality were higher at ATCs (odds ratio, 4.19; 95% CI, 1.30-13.51) and MTCs (odds ratio, 6.68; 95% CI, 2.03-21.99) compared with PTCs but was not different between level I and II centers (odds ratio, 0.76; 95% CI, 0.59-0.99).

CONCLUSION AND RELEVANCE

Mortality among injured adolescents was lower among those treated at PTCs, compared with those treated at ATCs and MTCs. Defining resource and patient features that account for these observed differences is needed to optimize adolescent outcomes after injury.

A paradigm for achieving successful pediatric trauma verification in the absence of pediatric surgical specialists while ensuring quality of care

BACKGROUND

Pediatric trauma centers (PTCs) are concentrated in urban areas, leaving large areas where children do not have access. Although adult trauma centers (ATCs) often serve to fill the gap, disparities exist. Given the limited workforce in pediatric subspecialties, many adult centers that are called upon to care for children cannot sufficiently staff their program to meet the requirements of verification as a PTC. We hypothesized that ATCs in collaboration with a PTC could achieve successful American College of Surgeons (ACS) verification as a PTC with measurable improvements in care. This article serves to provide an initial description of this collaborative approach.

METHODS

Beginning in 2008, a Level I PTC partnered with three ATC seeking ACS-PTC verification. The centers adopted a plan for education, simulation training, guidelines, and performance improvement support. Results of ACS verification, patient volumes, need to transfer patients, and impact on solid organ injury management were evaluated.

RESULTS

Following partnership, each of the ATCs has achieved Level II PTC verification. As part of each review, the collaborative was noted to be a significant strength. Total pediatric patient volume increased from 128.1 to 162.1 a year (p = 0.031), and transfers out decreased from 3.8% to 2.4% (p = 0.032) from prepartnership to postpartnership periods. At the initial ATC partner site, 10.7 children per year with solid organ injury were treated before the partnership and 11.8 children per year after the partnership. Following partnership, we found significant reductions in length of stay, number of images, and laboratory draws among this limited population.

CONCLUSION

The collaborative has resulted in ACS Level II PTC verification in the absence of on-site pediatric surgical specialists. In addition, more patients were safely cared for in their community without the need for transfer with improved quality of care. This paradigm may serve to advance the care of injured children at sites without access to pediatric surgical specialists through a collaborative partnership with an experienced Level I PTC. Further risk-adjusted analysis of outcomes will need to be performed in the future.

LEVEL OF EVIDENCE

Therapeutic/care management, level IV.

Physician staffed helicopter emergency medical service case identification - a before and after study in children

BACKGROUND

Severely injured children may have better outcomes when transported directly to a Paediatric Trauma Centre (PTC). A case identification system using the crew of a physician staffed helicopter emergency medical service (P-HEMS) that identified severely injured children for P-HEMS dispatch was previously associated with high rates of direct transfer. It was theorised that discontinuation of this system may have resulted in deterioration of system performance.

METHODS

Severe paediatric trauma cases were identified from a state based trauma registry over two time periods. In Period A the P-HEMS case identification system operated in parallel with a paramedic dispatcher (Rapid Launch Trauma Co-ordinator-RLTC) operating from a central control room (n = 71). In Period B the paramedic dispatcher operated in isolation (n = 126). Case identification and direct transfer rates were compared as was time to arrival at the PTC.

RESULTS

After cessation of the P-HEMS system the rate of case identification fell from 62 to 31 % (P < 0.001), identification of fatal cases fell from 100 to 47 % (P < 0.001), the rate of direct transfer to a PTC fell from 66 to 53 % (P = 0.076) and the time to arrival in a PTC increased from a median 69 (interquartile range 52 - 104) mins to 97 (interquartile range 56 - 305) mins (P = 0.003). When analysing the rate of direct transfer to a PTC as a function of team composition, after adjusting for age and injury severity scores, there was no change in the rate between the physician and paramedic groups across the two time periods (relative risk 0.92, 95 % CI: 0.44 to 1.41).

DISCUSSION

The parallel identification system improves case identification rates and decreases time to arrival at the PTC, whilst requiring RLTC authorisation preserves the safety and efficiency benefits of centralised dispatch. The model could be extended to adult patients with similar benefits.

CONCLUSIONS

A case identification system relying solely on RLTC paramedics resulted in a significantly lower case identification rate and increased prehospital time with a non-significant fall in direct transfer rate to the PTC. The elimination of the P-HEMS input from the tasking system resulted in worse performance indicators and has the potential for poorer outcomes.

The impact of transfer on pediatric trauma outcomes

BACKGROUND

Recently, concerns have been raised over delays that result from transferring patients to designated trauma centers. This study aimed to assess whether transfer status had an impact on pediatric trauma outcomes.

METHODS

Using a local 1996-2014 pediatric trauma database containing 1541 patients, the following outcomes were tested: death, major complication, time to definitive treatment (TDT), hospital length of stay (LOS), and ICU length of stay (ICU LOS). Logistic, generalized linear, and Poisson regression models were used.

RESULTS

Mortality and complication rates did not differ significantly between direct (mortality=52/1000, complications=54/1000) and transferred (mortality=59/1000; complications=67/1000) patients (mortality aRR: 1.17, 95% CI: 0.76-1.80, p=0.48; complication aRR: 1.13, 95% CI: 0.75-1.70, p=0.57). Transfer status was not a significant predictor of ICU LOS (p=0.72). Transfer status was a significant predictor of time to definitive treatment (transfer x-=17.4h vs. direct x-=2.6h, p=0.0035) and of LOS for severely injured patients (p=0.005). The significant predictors of pediatric trauma mortality were: ISS, transport mode, age, and TDT, and of major complication were ISS and TDT.

CONCLUSIONS

Although transferred patients had longer time to specialized care, there were no significant differences in the mortality or complication rates between transferred and direct patients after adjusting for injury severity.

Comparison of outcomes for children with cervical spine injury based on destination hospital from scene of injury

BACKGROUND

Pediatric cervical spine injury is rare. As a result, evidence-based guidance for prehospital triage of children with suspected cervical spine injuries is limited. The effects of transport time and secondary transfer for specialty care have not previously been examined in the subset of children with cervical spine injuries.

OBJECTIVES

The primary objective was to determine if prehospital destination choice affects outcomes for children with cervical spine injuries. The secondary objectives were to describe prehospital and local hospital interventions for children ultimately transferred to pediatric trauma centers for definitive care of cervical spine injuries.

METHODS

The authors searched the Pediatric Emergency Care Applied Research Network (PECARN) cervical spine injury data set for children transported by emergency medical services (EMS) from scene of injury. Neurologic outcomes in children with cervical spine injuries transported directly to pediatric trauma centers were compared with those transported to local hospitals and later transferred to pediatric trauma centers, adjusting for injury severity, indicated by altered mental status, focal neurologic deficits, and substantial comorbid injuries. In addition, transport times and interventions provided in the prehospital, local hospital, and pediatric trauma center settings were compared. Multiple imputation was used to handle missing data.

RESULTS

The PECARN cervical spine injury cohort contains 364 patients transported from scene of injury by EMS. A total of 321 met our inclusion criteria. Of these, 180 were transported directly to pediatric trauma centers, and 141 were transported to local hospitals and later transferred. After adjustments for injury severity, odds of a normal outcome versus death or persistent neurologic deficit were higher for patients transported directly to pediatric trauma centers (odds ratio [OR] = 1.89, 95% confidence interval [CI] = 1.03 to 3.47). EMS transport times to first hospital did not differ and did not affect outcomes. Prehospital analgesia was very infrequent.

CONCLUSIONS

Initial destination from scene (pediatric trauma center vs. local hospital) appears to be associated with neurologic outcome of children with cervical spine injuries. Markers of injury severity (altered mental status and focal neurologic findings) are important predictors of poor outcome in children with cervical spine injuries and should remain the primary guide for prehospital triage to designated trauma centers.

Base excess as a predictor for injury severity in pediatric trauma patients

BACKGROUND

Base excess is considered a predictor of mortality and severity of injury in trauma patients. Base excess had been widely examined in different settings. Only few studies have examined the role of base excess in pediatric trauma patients.

OBJECTIVE

To evaluate the value of admission base excess in pediatric trauma patients with respect to intensive care unit (ICU) admission rate and length of hospital stay.

METHODS

A retrospective study of pediatric trauma patients was conducted at a Level II trauma center. All patients aged 0-16 years for which a trauma team was activated over the years 2006-2009 were included. Study database included admission base excess, mechanism of injury, location and nature of injury, injury severity score, length of hospital stay, and ICU admission.

RESULTS

The study group consisted of 359 patients. There was a weak linear correlation between admission base excess, length of stay in the hospital, and ICU admission. Base excess seemed to show a stronger correlation for the youngest age group (0-6 years) and no correlation for the middle age group. There was a positive but weak correlation (R Spearman = 0.26) between admission base excess and Injury Severity Score (ISS). However, 40% of the children with an ISS score >25 had normal admission base excess values. The area under the curve of the receiver operating characteristic curves of base excess for predicting ICU admission was 0.66.

CONCLUSIONS

The admission base excess in pediatric trauma patients seems to be a weak prognostic factor in our facility.

Physician staffed helicopter emergency medical service dispatch via centralised control or directly by crew - case identification rates and effect on the Sydney paediatric trauma system

Background

Severe paediatric trauma patients benefit from direct transport to dedicated Paediatric Trauma Centres (PTC). Parallel case identification systems utilising paramedics from a centralised dispatch centre versus the crew of a physician staffed Helicopter Emergency Medical Service (HEMS) allowed comparison of the two systems for case identification rates and subsequent timeliness of direct transfer to a PTC.

Methods

Paediatric trauma patients over a two year period from the Sydney region with an Injury Severity Score (ISS) > 15 were retrospectively identified from a state wide trauma registry. Overall paediatric trauma system performance was assessed by comparisons of the availability of the physician staffed HEMS for patient characteristics, transport mode (direct versus indirect) and the times required for the patient to arrive at the paediatric trauma centre. The proportion of patients transported directly to a PTC was compared between the times that the HEMS service was available versus the time that it was unavailable to determine if the HEMS system altered the rate of direct transport to a PTC. Analysis of variance was used to compare the identifying systems for various patient characteristics when the HEMS was available.

Results

Ninety nine cases met the inclusion criteria, 44 when the HEMS system was operational. Patients identified for physician response by the HEMS system were significantly different to those that were not identified with higher median ISS (25 vs 18, p = 0.011), and shorter times to PTC (67 vs 261mins, p = 0.015) and length of intensive care unit stays (2 vs 0 days, p = 0.045). Of the 44 cases, 21 were not identified, 3 were identified by the paramedic system and 20 were identified by the HEMS system, (P < 0.001). Direct transport to a PTC was more likely to occur when the HEMS dispatch system was available (RR 1.81, 95% CI 1.20-2.73). The median time (minutes) to arrival at the PTC was shorter when HEMS available (HEMS available 92, IQR 50-261 versus HEMS unavailable 296, IQR 84-583, P < 0.01).

Conclusions

Physician staffed HEMS crew dispatch is significantly more likely to identify cases of severe paediatric trauma and is associated with a greater proportion of transports directly to a PTC and with faster times to arrival.

Quality care in pediatric trauma

Infrastructure, processes of care and outcome measurements are the cornerstone of quality care for pediatric trauma. This review aims to evaluate current evidence on system organization and concentration of pediatric expertise in the delivery of pediatric trauma care. It discusses key quality indicators for all phases of care, from pre-hospital to post-discharge recovery. In particular, it highlights the importance of measuring quality of life and psychosocial recovery for the injured child.