Strategies to Obtain and Deliver Blood Products Into Critically Injured Children: A Survey of Pediatric Trauma Society Members.

OBJECTIVES: Timely transfusion is associated with improved survival and a reduction in in-hospital morbidity. The benefits of early hemorrhagic shock recognition may be limited by barriers to accessing blood products and their timely administration. We examined how pediatric trauma programs obtain blood products, the types of rapid infusion models used, and the metrics tracked to improve transfusion process efficiency in their emergency department (ED). METHODS: We developed and distributed a self-report survey to members of the Pediatric Trauma Society. The survey consisted of 6 initial questions, including the respondent's role and institution, whether a blood storage refrigerator was present in their ED, the rapid infuser model used to transfuse critically injured children in their ED, if their program tracked 4 transfusion process metrics, and if a video recording system was present in the trauma bay. Based on these responses, additional questions were prompted with an option for a free-text response. RESULTS: We received 137 responses from 77 institutions. Most pediatric trauma programs have a blood storage refrigerator in the ED (n = 46, 59.7%) and use a Belmont rapid infuser to transfuse critically injured children (n = 45, 58.4%). The American College of Surgeons Level 1 designated trauma programs, or state-based equivalents, and "pediatric" trauma programs were more likely to have video recording systems for performance improvement review compared with lower designated trauma programs and "combined pediatric and adult" trauma programs, respectively. CONCLUSIONS: Strategies to improve the timely acquisition and infusion of blood products to critically injured children are underreported. This study examined the current practices that pediatric trauma programs use to transfuse critically injured children and may provide a resource for trauma programs to cite for transfusion-related quality improvement.

Survival Bias in Pediatric Hemorrhagic Shock: Are We Misrepresenting the Data?

BACKGROUND: Studies of hemorrhage following pediatric injury often use the occurrence of transfusion as a surrogate definition for the clinical need for a transfusion. Using this approach, patients who are bleeding but die before receiving a transfusion are misclassified as not needing a transfusion. In this study, we aimed to evaluate the potential for this survival bias and to estimate its presence among a retrospective observational cohort of children and adolescents who died from injury. METHODS: We obtained patient, injury, and resuscitation characteristics from the 2017 to 2020 Trauma Quality Improvement Program database of children and adolescents (age < 18 years) who arrived with or without signs of life and died. We performed univariate analysis and a multivariable logistic regression to analyze the association between the time to death and the occurrence of transfusion within four hours after hospital arrival controlling for initial vital signs, injury type, body regions injured, and scene versus transfer status. RESULTS: We included 6,063 children who died from either a blunt or penetrating injury. We observed that children who died within 15 minutes had lower odds of receiving a transfusion (odds ratio [OR] = 0.1, 95% CI = 0.1, 0.2) compared to those who survived longer. We estimated that survival bias that occurs when using transfusion administration alone to define hemorrhagic shock may occur in up to 11% of all children who died following a blunt or penetrating injury but less than 1% of all children managed as trauma activations. CONCLUSION: Using the occurrence of transfusion alone may underestimate the number of children who die from uncontrolled hemorrhage early after injury. Additional variables than just transfusion administration are needed to more accurately identify the presence of hemorrhagic shock among injured children and adolescents. LEVEL OF EVIDENCE: Prognostic and Epidemiological, Level III.

Injury Patterns and Outcomes at a Single Pediatric Trauma Center During the Coronavirus Disease 19 Pandemic.

INTRODUCTION: The coronavirus disease 19 (COVID-19) pandemic is reported to have changed injury patterns, prevalence, and outcomes across multiple institutions in the United States. Interpretation of aggregate data is difficult because injury patterns vary between urban and rural hospitals and the implementation of locoregional public health policies and guidelines in response to COVID-19 differed. To prepare our trauma system for future societal shutdowns, we compared injury patterns and outcomes of injured children and adolescents at a single pediatric trauma center before and during the first 2 y of the COVID-19 pandemic. METHODS: We abstracted demographic, injury, and outcome data for injured children and adolescents (age <15 y) who required admission using our hospital trauma registry and the electronic medical record. We compared differences prior to and during the COVID-19 pandemic using univariate analysis. To address confounding variables, we also analyzed in-hospital mortality using a multivariable regression. RESULTS: We observed an increase in the number of injured children requiring admission during the first year of the COVID-19 pandemic compared to the prepandemic era. Among injury types sustained, we observed an increase in firearm and nonfirearm related penetrating injuries (P < 0.001) during the first year, but not the second year, of the COVID-19 pandemic. Controlling for several confounding variables, we also observed an increase in in-hospital mortality (P = 0.04) during the first year of the COVID-19 pandemic. CONCLUSIONS: The psychosocial and socioeconomic burden of the COVID-19 pandemic may have contributed to the rise in penetrating injuries and the odds of in-hospital mortality among a cohort of children and adolescents who were admitted to our hospital following injury. This data may be used to prepare our trauma system for future societal shutdowns through data informed resource utilization.

Functional impairment associated with nonfatal pediatric firearm injuries.

BACKGROUND: Firearm injury is now the leading cause of death for children in the United States. Functional morbidity among survivors also contributes to the public health burden of firearm injury but has not been quantified in children. This study aimed to assess functional impairment among survivors of pediatric firearm injury. METHODS: We analyzed an 8-year (2014-2022) retrospective cohort of children (0-18 years) treated for firearm injuries at 2 urban level 1 pediatric trauma centers. The Functional Status Scale was used to assess functional impairment among survivors at discharge and at follow-up. Functional impairment was defined using multisystem (Functional Status Scale ≥8) and single-system (Functional Status Scale = 7) definitions. RESULTS: The cohort included 282 children with a mean age of 11.1 (standard deviation 4.5) years. In-hospital mortality was 7% (n = 19). Functional impairment (Functional Status Scale ≥8) was present in 9% (n = 24) of children at discharge and in 7% (n = 13/192) at follow-up. Mild impairment in a single domain (Functional Status Scale = 7) was seen in 42% (n = 110) of the cohort at discharge. This impairment persisted to follow-up in most (67%, n = 59/88) of these children. CONCLUSION: Functional impairment at discharge after firearm injury is common among children surviving transport in these trauma centers. These data highlight the added value of non-mortality metrics in assessing the health burden of pediatric firearm injuries. The collective impact of mortality and functional morbidity should be considered when advocating for resources to protect children.

Discovering interpretable medical process models: A case study in trauma resuscitation.

Understanding the actual work (i.e., "work-as-done") rather than theorized work (i.e., "work-as-imagined") during complex medical processes is critical for developing approaches that improve patient outcomes. Although process mining has been used to discover process models from medical activity logs, it often omits critical steps or produces cluttered and unreadable models. In this paper, we introduce a TraceAlignment-based ProcessDiscovery method called TAD Miner to build interpretable process models for complex medical processes. TAD Miner creates simple linear process models using a threshold metric that optimizes the consensus sequence to represent the backbone process, and then identifies both concurrent activities and uncommon-but-critical activities to represent the side branches. TAD Miner also identifies the locations of repeated activities, an essential feature for representing medical treatment steps. We conducted a study using activity logs of 308 pediatric trauma resuscitations to develop and evaluate TAD Miner. TAD Miner was used to discover process models for five resuscitation goals, including establishing intravenous (IV) access, administering non-invasive oxygenation, performing back assessment, administering blood transfusion, and performing intubation. We quantitively evaluated the process models with several complexity and accuracy metrics, and performed qualitative evaluation with four medical experts to assess the accuracy and interpretability of the discovered models. Through these evaluations, we compared the performance of our method to that of two state-of-the-art process discovery algorithms: Inductive Miner and Split Miner. The process models discovered by TAD Miner had lower complexity and better interpretability than the state-of-the-art methods, and the fitness and precision of the models were comparable. We used the TAD process models to identify (1) the errors and (2)the best locations for the tentative steps in knowledge-driven expert models. The knowledge-driven models were revised based on the modifications suggested by the discovered models. The improved modeling using TAD Miner may enhance understanding of complex medical processes.

Development and validation of a Bayesian network predicting neurosurgical intervention after injury in children and adolescents.

BACKGROUND: Timely surgical decompression improves functional outcomes and survival among children with traumatic brain injury and increased intracranial pressure. Previous scoring systems for identifying the need for surgical decompression after traumatic brain injury in children and adults have had several barriers to use. These barriers include the inability to generate a score with missing data, a requirement for radiographic imaging that may not be immediately available, and limited accuracy. To address these limitations, we developed a Bayesian network to predict the probability of neurosurgical intervention among injured children and adolescents (aged 1-18 years) using physical examination findings and injury characteristics observable at hospital arrival. METHODS: We obtained patient, injury, transportation, resuscitation, and procedure characteristics from the 2017 to 2019 Trauma Quality Improvement Project database. We trained and validated a Bayesian network to predict the probability of a neurosurgical intervention, defined as undergoing a craniotomy, craniectomy, or intracranial pressure monitor placement. We evaluated model performance using the area under the receiver operating characteristic and calibration curves. We evaluated the percentage of contribution of each input for predicting neurosurgical intervention using relative mutual information (RMI). RESULTS: The final model included four predictor variables, including the Glasgow Coma Scale score (RMI, 31.9%), pupillary response (RMI, 11.6%), mechanism of injury (RMI, 5.8%), and presence of prehospital cardiopulmonary resuscitation (RMI, 0.8%). The model achieved an area under the receiver operating characteristic curve of 0.90 (95% confidence interval [CI], 0.89-0.91) and had a calibration slope of 0.77 (95% CI, 0.29-1.26) with a y intercept of 0.05 (95% CI, -0.14 to 0.25). CONCLUSION: We developed a Bayesian network that predicts neurosurgical intervention for all injured children using four factors immediately available on arrival. Compared with a binary threshold model, this probabilistic model may allow clinicians to stratify management strategies based on risk. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

Development and validation of a Bayesian belief network predicting the probability of blood transfusion after pediatric injury.

BACKGROUND: Early recognition and intervention of hemorrhage are associated with decreased morbidity in children. Triage models have been developed to aid in the recognition of hemorrhagic shock after injury but require complete data and have limited accuracy. To address these limitations, we developed a Bayesian belief network, a machine learning model that represents the joint probability distribution for a set of observed or unobserved independent variables, to predict blood transfusion after injury in children and adolescents. METHODS: We abstracted patient, injury, and resuscitation characteristics of injured children and adolescents (age 1 to 18 years) from the 2017 to 2019 Trauma Quality Improvement Project database. We trained a Bayesian belief network to predict blood transfusion within 4 hours after arrival to the hospital following injury using data from 2017 and recalibrated the model using data from 2018. We validated our model on a subset of patients from the 2019 Trauma Quality Improvement Project. We evaluated model performance using the area under the receiver operating characteristic curve and calibration curves and compared performance with pediatric age-adjusted shock index (SIPA) and reverse shock index with Glasgow Coma Scale (rSIG) using sensitivity, specificity, accuracy, and Matthew's correlation coefficient (MCC). RESULTS: The final model included 14 predictor variables and had excellent discrimination and calibration. The model achieved an area under the receiver operating characteristic curve of 0.92 using emergency department data. When used as a binary predictor at an optimal threshold probability, the model had similar sensitivity, specificity, accuracy, and MCC compared with SIPA when only age, systolic blood pressure, and heart rate were observed. With the addition of the Glasgow Coma Scale score, the model has a higher accuracy and MCC than SIPA and rSIG. CONCLUSION: A Bayesian belief network predicted blood transfusion after injury in children and adolescents better than SIPA and rSIG. This probabilistic model may allow clinicians to stratify hemorrhagic control interventions based upon risk. LEVEL OF EVIDENCE: Prognostic and Epidemiologic; Level III.

Factors Affecting Peripheral Intravenous Catheter Placement During Pediatric Trauma Resuscitation.

INTRODUCTION: Intravenous access is required for resuscitation of injured patients but may be delayed in children because of challenges associated with peripheral intravenous (PIV) catheter placement. Early identification of factors predisposing patients to difficult PIV placement can assist in deciding strategies for timely intravenous access. METHODS: We conducted a retrospective, video-based review of injured children and adolescents treated between April 2018 and May 2019. Patient demographic, physiological, injury, and resuscitation characteristics were obtained from the patient record, including age, race, weight, injury type, Injury Severity Score, initial systolic blood pressure, initial Glasgow Coma Score, intubation status, activation level, and presence of prearrival notification. Video review was used to determine the time to PIV placement, the number of attempts required, the purpose for additional access, and the reason for abandonment of PIV placement. Multivariable regressions were used to determine factors associated with successful placement. RESULTS: During the study period, 154 consented patients underwent attempts at PIV placement in the trauma bay. Placement was successful in 139 (90.3%) patients. Older patients (OR [odds ratio]: 0.9, 95% confidence interval [CI]: 0.9, 0.9) and patients who required the highest level activation response (OR: 0.0, 95% CI: 0.0, 0.3) were less likely to have an attempt at PIV placement abandoned. Children with nonblunt injuries (OR: 11.6, 95% CI: 1.3, 119.2) and pre-existing access (OR: 39.6, 95% CI: 7.0, 350.6) were more likely to have an attempt at PIV placement abandoned. Among patients with successful PIV placement, the time required for establishing PIV access was faster as age increased (-0.5 s, 95% CI: -1.1, -0.0). CONCLUSIONS: Younger age was associated with abandonment of PIV attempts and, when successful, increased time to placement. Strategies to improve successful PIV placement and alternate routes of access should be considered early to prevent treatment delays in younger children.

Evaluation of Missing Prehospital Physiological Values in Injured Children and Adolescents.

INTRODUCTION: Prehospital vital signs and the Glasgow Coma Scale score are often missing in clinical practice and not recorded in trauma databases. Our study aimed to identify factors associated with missing prehospital physiological values, including systolic blood pressure, heart rate, respiratory rate, peripheral oxygen saturation, and Glasgow Coma Scale. METHODS: We used our hospital trauma registry to obtain patient, injury, resuscitation, and transportation characteristics for injured children and adolescents (age <15 y). We evaluated the association of missing documentation of prehospital values with other patient, injury, transportation, and resuscitation characteristics using multivariable regression. We standardized vital sign values using age-adjusted z-scores. RESULTS: The odds of a missing physiological value decreased with age (odds ratio [OR] = 0.9, 95% confidence interval [CI] = 0.9, 0.9) and were higher when prehospital cardiopulmonary resuscitation was required (OR = 3.3, 95% CI = 1.9, 5.7). Among the physiological values considered, we observed the highest odds of missingness of systolic blood pressure, respiratory rate, and oxygen saturation. The odds of observing normal emergency department physiological values were lower when prehospital physiological values were missing (OR = 0.9, 95% CI = 0.9, 1.0; P = 0.04). CONCLUSIONS: Missing prehospital physiological values were associated with younger age and cardiopulmonary resuscitation among the injured children treated at our hospital. Measurement and documentation of physiological variables of patients with these characteristics should be targeted.

Postoperative Respiratory Complications in SARS-CoV-2 Positive Pediatric Patients Across 20 United States Hospitals: A Cohort Study.

INTRODUCTION: Data examining rates of postoperative complications among SARS-CoV-2 positive children are limited. The purpose of this study was to evaluate the impact of symptomatic and asymptomatic SARS-CoV-2 positive status on postoperative respiratory outcomes for children. METHODS: This retrospective cohort study included SARS-CoV-2 positive pediatric patients across 20 hospitals who underwent general anesthesia from March to October 2020. The primary outcome was frequency of postoperative respiratory complications, including: high-flow nasal cannula/non invasive ventilation, reintubation, pneumonia, Extracorporeal Membrane Oxygenation (ECMO), and 30-day respiratory-related readmissions or emergency department (ED) visits. Univariate analyses were used to evaluate associations between patient and procedure characteristics and stratified analyses by symptoms were performed examining incidence of complications. RESULTS: Of 266 SARS-CoV-2 positive patients, 163 (61.7%) were male, and the median age was 10 years (interquartile range 4-14). The majority of procedures were emergent or urgent (n = 214, 80.5%). The most common procedures were appendectomies (n = 78, 29.3%) and fracture repairs (n = 40,15.0%). 13 patients (4.9%) had preoperative symptoms including cough or dyspnea. 26 patients (9.8%) had postoperative respiratory complications, including 15 requiring high-flow oxygen, 8 with pneumonia, 4 requiring non invasive ventilation, 3 respiratory ED visits, and 2 respiratory readmissions. Respiratory complications were more common among symptomatic patients than asymptomatic patients (30.8% vs. 8.7%, p = 0.01). Higher ASA class and comorbidities were also associated with postoperative respiratory complications. CONCLUSIONS: Postoperative respiratory complications are less common in asymptomatic versus symptomatic SARS-COV-2 positive children. Relaxation of COVID-19-related restrictions for time-sensitive, non urgent procedures in selected asymptomatic patients may be reasonably considered. Additionally, further research is needed to evaluate the costs and benefits of routine testing for asymptomatic patients. LEVEL OF EVIDENCE: Iii, Respiratory complications.

Time is tissue: Barriers to timely transfusion after pediatric injury.

ABSTRACT: Strategies to improve outcomes among children and adolescents in hemorrhagic shock have primarily focused on component resuscitation, pharmaceutical coagulation adjuncts, and hemorrhage control techniques. Many of these strategies have been associated with better outcomes in children, but the barriers to their use and the impact of timely use on morbidity and mortality have received little attention. Because transfusion is uncommon in injured children, few studies have identified and described barriers to the processes of using these interventions in bleeding patients, processes that move from the decision to transfuse, to obtaining the necessary blood products and adjuncts, and to delivering them to the patient. In this review, we identify and describe the steps needed to ensure timely blood transfusion and propose practices to minimize barriers in this process. Given the potential impact of time on hemorrhage associated outcomes, ensuring timely intervention may have a similar or greater impact than the interventions themselves.

Analysis of Task Attributes Associated with Crisis Checklist Compliance in Pediatric Trauma Resuscitation.

Although checklists can improve overall team performance during medical crises, non-compliant checklist use poses risks to patient safety. We examined how task attributes affected checklist compliance by studying the use of a digital checklist during trauma resuscitation. We first determined task attributes and checklist compliance behaviors for 3,131 resuscitation tasks. Using statistical analyses and qualitative video review, we then identified barriers to accurately tracking task status, finding that certain task attributes were associated with non-compliant checklist behaviors. For example, tasks with multiple steps were more likely to be incorrectly recorded as completed when the task was not performed to completion. We discuss challenges in capturing and tracking the status of tasks with attributes that contribute to non-compliant checklist use. We also contribute a framework for understanding how tasks with certain attributes can be designed on checklists to improve compliance.

Reducing the Time to Blood Administration after Pediatric Injury: A Quality Improvement Initiative.

Introduction: Hemorrhage is the leading cause of preventable death in pediatric trauma patients. Timely blood administration is associated with improved outcomes in children and adults. This study aimed to identify delays to transfusion and improve the time to blood administration among injured children. Methods: A multidisciplinary team identified three activities associated with blood transfusion delays during the acute resuscitation of injured children. To address delays related to these activities, we relocated the storage of un-crossmatched blood to the emergency department (ED), created and disseminated an intravenous access algorithm, and established a nursing educator role for resuscitations. We performed comparative and regression analyses to identify the impact of these factors on the timeliness and likelihood of blood administration. Results: From January 2017 to June 2021, we treated 2159 injured children and adolescents in the resuscitation area, 54 (2.5%) of whom received blood products in the ED. After placing a blood storage refrigerator in the ED, we observed a centerline change that lowered the adjusted time-to-blood administration to 17 minutes (SD 11), reducing the time-to-blood administration by 11 minutes (ß = -11.0, 95% CI = -22.0 to -0.9). The likelihood of blood administration was not changed after placement of the blood refrigerator. We observed no reduction in time following the implementation of the intravenous access algorithm or a nursing educator. Conclusions: Relocation of un-crossmatched blood storage to the ED decreased the time to blood transfusion. This system-based intervention should be considered a strategy for reducing delays in transfusion in time-critical settings.