Factors Associated with Pathway-Concordant Neuroimaging for Pediatric Ischemic Stroke.

OBJECTIVE: To determine factors associated with magnetic resonance imaging (MRI) and noninvasive diagnostic angiography among children presenting to the emergency department (ED) with acute ischemic stroke. STUDY DESIGN: We performed a cross-sectional study using data from >50 US children's hospitals. We included children 29 days through 17 years old hospitalized from the ED with an International Classification of Diseases, Tenth Revision, Clinical Modification, diagnosis code for acute ischemic stroke between October 1, 2015, and November 30, 2022. We excluded children with a principal diagnosis code of trauma/external injury, without neuroimaging on day of presentation, and into-ED transfers. Our outcomes were defined as acquisition of MRI (vs computed tomography only) and angiography (vs no angiography) on day of presentation. We performed generalized linear mixed modeling with hospital as a random effect to determine the association of demographics, known comorbidities, and treatment factors with each outcome. RESULTS: We included 1601 children. In multivariable analysis, younger age, mechanical ventilation, and Black race were associated with lower odds of MRI acquisition, whereas history of moyamoya disease and sickle cell disease were associated with greater odds. Younger age, mechanical ventilation, Hispanic ethnicity, Black race, other races, history of metabolic disease, and history of seizures were associated with lower odds of angiography. CONCLUSIONS: Younger and non-White children experienced lower odds of MRI and angiography, which may be driven by health system limitations or provider implicit biases or both. Our results expose risk factors for underdiagnosis of ischemic stroke and provide opportunities to tailor institutional pathways reflective of underlying pathophysiology.

Association of midazolam route of administration and need for recurrent dosing among children with seizures cared for by emergency medical services.

OBJECTIVE: National guidelines in the United States recommend the intramuscular and intranasal routes for midazolam for the management of seizures in the prehospital setting. We evaluated the association of route of midazolam administration with the use of additional benzodiazepine doses for children with seizures cared for by emergency medical services (EMS). METHODS: We conducted a retrospective cohort study from a US multiagency EMS dataset for the years 2018-2022, including children transported to the hospital with a clinician impression of seizures, convulsions, or status epilepticus, and who received an initial correct weight-based dose of midazolam (.2 mg/kg intramuscular, .1 mg/kg intravenous, .2 mg/kg intranasal). We evaluated the association of route of initial midazolam administration with provision of additional benzodiazepine dose in logistic regression models adjusted for age, vital signs, pulse oximetry, level of consciousness, and time spent with the patient. RESULTS: We included 2923 encounters with patients who received an appropriate weight-based dose of midazolam for seizures (46.3% intramuscular, 21.8% intranasal, 31.9% intravenous). The median time to the first dose of midazolam from EMS arrival was similar between children who received intramuscular (7.3 min, interquartile range [IQR] = 4.6-12.5) and intranasal midazolam (7.8 min, IQR = 4.5-13.4) and longer for intravenous midazolam (13.1 min, IQR = 8.2-19.4). At least one additional dose of midazolam was given to 21.4%. In multivariable models, intranasal midazolam was associated with higher odds (odds ratio [OR] = 1.39, 95% confidence interval [CI] = 1.10-1.76) and intravenous midazolam was associated with similar odds (OR = 1.00, 95% CI = .80-1.26) of requiring additional doses of benzodiazepines relative to intramuscular midazolam. SIGNIFICANCE: Intranasal midazolam was associated with greater odds of repeated benzodiazepine dosing relative to initial intramuscular administration, but confounding factors could have affected this finding. Further study of the dosing and/or the prioritization of the intranasal route for pediatric seizures by EMS clinicians is warranted.

Trends in Respiratory Viral Testing in Pediatric Emergency Departments Following the COVID-19 Pandemic.

STUDY OBJECTIVE: To evaluate for increases in the use and costs of respiratory viral testing in pediatric emergency departments (EDs) because of the COVID-19 pandemic. METHODS: We performed a cross-sectional study using the pediatric health information system. Eligible subjects were children (90 days to 18 years) who were discharged from a pediatric ED and included in the pediatric health information system from October 2016 through March 2024. To evaluate for changes in the frequency and costs of respiratory viral testing, we performed an interrupted time series analysis across 3 study periods: prepandemic (October 1, 2016 to March 14, 2020), early pandemic (March 15, 2020 to December 31, 2023), and late pandemic (January 1, 2023 to March 31, 2024). RESULTS: We included 15,261,939 encounters from 34 pediatric EDs over the 90-month study period. At least 1 viral respiratory test was performed for 460,826 of 7,311,177 prepandemic encounters (6.3%), 1,240,807 of 5,100,796 early pandemic encounters (24.3%), and 545,696 of 2,849,966 late pandemic encounters (19.1%). There was a positive prepandemic slope in viral testing (0.17% encounters/month; 95% CI 0.17 to 0.18). The early pandemic was associated with a shift change of 4.98% (95% CI 4.90 to 5.07) and a positive slope (0.54% encounters/month; 95% CI 0.54 to 0.55). The late pandemic period was associated with a negative shift (-17.80%; 95% CI -17.90 to -17.70) and a positive slope (0.42% encounters/month; 95% CI 0.41 to 0.42). The slope in testing costs increased from $5,000/month (95% CI $4,200 to $5,700) to $33,000/month (95% CI $32,000 to $34,000) during the early pandemic. CONCLUSION: Respiratory testing and associated costs increased during the COVID-19 pandemic and were sustained despite decreasing incidence of disease. These findings highlight a need for further efforts to clarify indications for viral testing in the ED and efforts to reduce low-value testing.

New Morbidities During Critical Illness and Associated Risk of ICU Readmission: Virtual Pediatric Systems Cohort, 2017-2020.

OBJECTIVES: To describe change in Functional Status Scale (FSS) associated with critical illness and assess associated development of new morbidities with PICU readmission. DESIGN: Retrospective, cross-sectional cohort study using the Virtual Pediatric Systems (VPS; Los Angeles, CA) database. SETTING: One hundred twenty-six U.S. PICUs participating in VPS. SUBJECTS: Children younger than 21 years old admitted 2017-2020 and followed to December 2022. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among 40,654 patients, 86.2% were classified as having good function or mild dysfunction before illness. Most patients did not have a change in their FSS category during hospitalization. Survival with new morbidity occurred most in children with baseline good/mild dysfunction (8.7%). Hospital mortality increased across categories of baseline dysfunction. Of 39,701 survivors, 14.2% were readmitted within 1 year. Median time to readmission was 159 days. In multivariable, mixed-effects Cox modeling, time to readmission was most associated with discharge functional status (hazard ratio [HR], 5.3 [95% CI, 4.6-6.1] for those with very severe dysfunction), and associated with lower hazard in those who survived with new morbidity (HR, 0.7 [95% CI, 0.6-0.7]). CONCLUSIONS: Development of new morbidities occurs commonly in pediatric critical illness, but we failed to find an association with greater hazard of PICU readmission. Instead, patient functional status is associated with hazard of PICU readmission.

Completeness of Pediatric Versus Adult Patient Assessment Documentation in the National Emergency Medical Services Information System.

BACKGROUND: Pediatric prehospital encounters are proportionally low-frequency events. National pediatric readiness initiatives have targeted gaps in prehospital pediatric assessment and management. Regional studies suggest that pediatric vital signs are inconsistently obtained and documented. We aimed to assess national emergency medical services (EMS) data to evaluate completeness of assessment documentation for pediatric versus adult patients and to identify the documentation of condition-specific assessments. METHODS: We performed a retrospective cross-sectional analysis of EMS encounters from the National Emergency Medical Services Information System for 2019, including all 9-1-1 encounters resulting in transport. Our primary outcome was the proportion of encounters with complete vital signs (heart rate, respiratory rate, and systolic blood pressure) documented by pediatric age category relative to adult encounters. Pediatric patients were considered as those less than 18 years old. Our secondary outcome was condition-specific assessments for encounters with respiratory emergencies, cardiac complaints, and trauma. We performed multivariable logistic regression to calculate odds ratios (OR) and 95% confidence intervals (95% CI) for vital signs documentation by age after adjusting for sex, injury status, transport type (advanced vs basic life support), census region, urbanicity, organization nonprofit status, and organization type. RESULTS: Of 18,918,914 EMS encounters, 6.4% involved pediatric patients. Documentation of complete vital signs was lowest in those <1 month old (30.8%) and rose with increasing age (highest in adults; 91.8%). Relative to adults, the adjusted odds of documented complete vital signs in patients <1 month old was 0.03 (95% CI 0.03-0.03) and increased with age to 0.76 (95% CI 0.75-0.77) in those 12-17 years old. Among those patients with respiratory, cardiac, and traumatic complaints, children had lower proportions of documented pulse oximetry, monitor use, and pain scores, respectively, compared to adults. CONCLUSION: Documentation of complete vital signs and condition-specific assessments occurs less frequently in children, especially in younger age groups, as compared to adults, which is a finding that exists across urbanicity, region, and level of response. These findings provide a benchmark for clinical care, quality improvement, and research in the prehospital setting.

External Validation of Empirically Derived Vital Signs in Children and Comparison to Other Vital Signs Classification Criteria.

OBJECTIVE: Various vital sign ranges for pediatric patients have differing utility in identifying children with serious illness or injury requiring immediate intervention. While commonly used ranges are derived from samples of healthy children, limited research has explored the utility of those derived from real-world encounters by emergency medical services (EMS). We first sought to externally validate pediatric vital sign ranges empirically derived from the prehospital setting. Second, we compared the proportion of children who received prehospital interventions using current common classification systems versus empirically derived vital sign ranges. METHODS: We retrospectively reviewed pediatric (<18 years) prehospital records from the 2021 ESO Collaborative dataset. We compared the proportions of encounters having vital signs (heart rate, respiratory rate, and systolic blood pressure) at the cutoffs of >99th, >95th, >90th, <10th, <5th and <1st centiles to previously reported centiles derived from EMS encounters in 2019-2020. We compared the deviation of mean Z-score by age between data sources. We identified the proportion of encounters with extreme (defined as <10th or >90th centile) vital signs who received prehospital interventions for the empirically derived criteria to six other classification criteria. RESULTS: 510,414 encounters were included, of which 66.9% were for medical indications and 70.7% resulted in hospital transport. The study sample had similar proportions of encounters identified at studied cutoffs compared to the previously published derivation sample, with all differences in proportions ≤1.1% between samples. All mean Z-scores were within 0.2 standard deviations of those from the derivation sample for each vital sign. Using empirically derived criteria, 34.2% had at least one extreme vital sign, compared to 69.1% with Pediatric Advanced Life Support criteria. Empirically derived extreme vital signs identified a higher proportion of children requiring most prehospital interventions compared to other vital signs criteria. CONCLUSION: Previously published empirically derived centiles for pediatric prehospital vital signs were replicated in this large multi-agency dataset. Compared to commonly used vital sign ranges, empirically derived criteria identified a higher proportion of children who received key prehospital interventions. Future steps include evaluating the role of these criteria in predictive models for in-hospital outcomes.

Mapping Prehospital Clinician Impression to Hospital-Based Diagnoses in Children Transported to the Hospital by Emergency Medical Services.

OBJECTIVES: Emergency medical services (EMS) serves a critical role in the delivery of services to children with out-of-hospital emergencies. The EMS clinicians' initial field diagnoses, termed "impressions," facilitate focused patient assessments, guide the application of prehospital treatment protocols, and help determine transport destination. We sought to evaluate the concordance of the EMS clinician impression to a child's hospital-based diagnosis. METHODS: We retrospectively studied de-identified pediatric (<18 years old) scene runs transported to the hospital and with available linked hospital data from the 2021 ESO Data Collaborative, a multi-agency prehospital electronic health record dataset. EMS impressions and primary emergency department or admission-based diagnoses were categorized into one of twenty-one major groups in the Diagnosis Grouping System. We identified the most common hospital-based discharge diagnoses and evaluated for the agreement between EMS impression and hospital-based diagnosis using Cohen's Kappa statistic. RESULTS: We included 35,833 pediatric transports from the scene with linked prehospital and in-hospital data (median age 11 years, interquartile range, 3-15 years; 50.9% male). The most common categories for both EMS impressions and hospital-based diagnoses were as follows respectively: trauma (26.1%; 24.6%), neurologic diseases (18.9%; 16.4%), psychiatric and behavioral diseases and substance use disorder (11.8%; 11.6%), and respiratory diseases (11.1% and 9.5%). A total of 23,224 out of 35,833 patients, or 64.8%, had concordant EMS impressions and hospital-based diagnoses. There was high agreement between common EMS impression and in-hospital diagnoses (trauma 77.3%; neurologic diseases 70.3%; respiratory diseases 64.5%; and psychiatric, behavioral disease and substance use disorder 73.9%). Hospital-based diagnoses demonstrated moderate concordance with prehospital data (Cohen's κ = 0.59). CONCLUSIONS: We found moderate concordance between EMS primary impression and hospital diagnoses. The EMS encounter is brief and without capabilities of advanced testing, but initial impressions may influence the basis of the triage assignment and interventions during the hospital-based encounter. By evaluating EMS impressions and ultimate hospital diagnoses, pediatric protocols may be streamlined, and specific training emphasized in pursuit of improving patient outcomes. Future work is needed to examine instances of discordance and evaluate the impact on patient care and outcomes.

Measures of Patient Acuity Among Children Encountered by Emergency Medical Services by the Child Opportunity Index.

Background: Children have differing utilization of emergency medical services (EMS) by socioeconomic status. We evaluated differences in prehospital care among children by the Child Opportunity Index (COI), the agreement between a child's COI at the scene and at home, and in-hospital outcomes for children by COI. Methods: We performed a retrospective study of pediatric (<18 years) scene encounters from approximately 2,000 United States EMS agencies from the 2021-2022 ESO Data Collaborative. We evaluated socioeconomic status using the multi-dimensional COI v2.0 at the scene. We described EMS interventions and in-hospital outcomes by COI categories using ordinal regression. We evaluated the agreement between the home and scene COI. Results: Data were available for 99.8% of pediatric scene runs, with 936,940 included EMS responses. Children from lower COI areas more frequently had a response occurring at home (62.9% in Very Low COI areas; 47.1% in Very High COI areas). Children from higher COI areas were more frequently not transported to the hospital (odds ratio [OR] 0.87, 95% confidence interval [CI] 0.86-0.87). Children in lower COI areas had lower use of physical (OR 1.23, 95% CI 1.13-1.33) and chemical (OR 1.41, 95% CI 1.29-1.55) restraints for behavioral health problems. Among injured children with elevated pain scores (≥7), analgesia was provided more frequently to children in higher COI areas (OR 1.73, 95% CI 1.65-1.81). The proportion of children in cardiac arrest was lowest from higher COI areas. Among 107,114 encounters with in-hospital data, the odds of hospitalization was higher among children from higher COI areas (OR 1.14, 95% CI 1.11-1.18) and was lower for in-hospital mortality (OR 0.75, 95% CI 0.65-0.85). Home and scene COI had a strong agreement (Kendall's W = 0.81). Conclusion: Patterns of EMS utilization among children with prehospital emergencies differ by COI. Some measures, such as for in-hospital mortality, occurred more frequently among children transported from Very Low COI areas, whereas others, such as admission, occurred more frequently among children from Very High COI areas. These findings have implications in EMS planning and in alternative out-of-hospital care models, including in regional placement of ambulance stations.

Injury patterns and mortality associated with near-hanging in children.

BACKGROUND: The pathophysiology of near-hanging in children is different from that of adults due to anatomic, physiologic, and injury-related mechanisms, with evidence suggesting that blunt cerebrovascular injuries (BCVI) and cervical spine injuries (CSI) are uncommon. We sought to estimate the incidence of secondary injuries and their association with mortality in pediatric near-hanging victims. METHODS: We performed a retrospective observational study of children (≤17 years) with a diagnosis code for hanging between October 1, 2015 and February 28, 2023 who presented to one of 47 geographically diverse US children's hospitals. We evaluated the incidence of the following secondary injuries: cerebral edema, pneumothorax, pulmonary edema, BCVI, and CSI. We performed Fisher's exact test with Bonferroni correction to identify associations between intentionality, sex, age, and secondary injuries with mortality. RESULTS: We included 1929 children, of whom 33.8% underwent neuroimaging, 45.9% underwent neck imaging, and 38.7% underwent neck angiography. The most common injury was cerebral edema (24.0%), followed by pulmonary edema (3.2%) and pneumothorax (2.8%). CSI (2.1%) and BCVI (0.9%) occurred infrequently. Cerebral edema, pneumothorax, pulmonary edema, and younger age (≤12 years) were associated with mortality. CONCLUSIONS: In this multi-center study of pediatric near-hanging victims, BCVI and CSI occurred rarely and were not associated with mortality. While children in our study underwent neck imaging more frequently than head imaging, cerebral edema occurred more often than other injury types and imparted the highest mortality risk. Given the rarity of BCVI and CSI, a selective approach to neck imaging may be warranted in pediatric near-hanging events.

Mapping Glasgow Coma scale to AVPU scores among adults in the prehospital setting.

OBJECTIVE: To develop a translation between the Glasgow Come Scale and the Alert-Verbal-Pain-Unresponsive (AVPU) scale among adults with out-of-hospital emergencies. METHODS: We performed a retrospective analysis of adults (≥18 years) from the 2022 National Emergency Medical Services (EMS) Information System with a ground scene encounter with a concurrently documented GCS and AVPU assessment. Using a training partition of 2.5 million encounters, we performed a grid search to identify all combinations of mutually exclusive cutpoints which divided the GCS into four segments. We identified the combination with the highest Kappa statistic and reported metrics of performance in this sample in the test partition. RESULTS: We identified 16,321,299 encounters with a concurrent AVPU and GCS. Using the AVPU scale, 93.3 % were classified as Alert; 2.9 % as Verbal; 1.5 % as Pain; and 2.3 % as Unresponsive. Using a grid-based search, optimal cutpoints were identified when using a GCS of 14-15 for Alert, 10-13 for Verbal, 7-9 for Pain, and 3-6 for Unresponsive. Cohen's Kappa was 0.63 in the test partition, indicating substantial agreement. Intraclass F1 score varied across different alertness levels and were 0.97 for "Alert", 0.43 for "Verbal", 0.49 for "Pain", and 0.83 for "Unresponsive". Findings were similar in analyses performed by age group and by the presence or absence of trauma. CONCLUSION: We report an optimal crosswalk between the AVPU and GCS scales. Performance in the Verbal and Pain categories was lower than the Alert and Unresponsive categories. These findings may facilitate clinician handovers between EMS and non-EMS clinicians.

Comparing the performance of pediatric weight estimation methods.

BACKGROUND: Weight estimation is essential in the care of ill children when a weight cannot be obtained. This is particularly important for children with medical complexity, who are at higher risk for adverse drug events. Our objective was to compare the accuracy of different methods of weight estimation in children and stratify by the presence of medical complexity. METHODS: We performed a retrospective cross-sectional study of children (<18 years) seen in the emergency department (ED) or ambulatory clinic from January 1, 2013 to December 31, 2022 at a tertiary academic pediatric center. We compared the performance of nine age-based formulae and two length-based methods using metrics of mean average error (MAE), root mean square error (RMSE), and agreement within 10% and 20% of measured weight. We additionally evaluated the approaches stratified by body mass index (BMI) and the presence of medical complexity. RESULTS: Of 361,755 children (median age 8.2 years, IQR 2.5-14.2 years; 51.5% male), 59,283 (16.4%) were seen in the ED. Length was measured or available in 21,330 (36.0%) patients in the ED and 293,410 (97%) patients in clinics. The Broselow tape outperformed all methods, with 50.7% estimates within 10% of measured weight, 80.0% estimates within 20% of measured weight, the lowest MAE (2.5 kg), and lowest RMSE (4.5 kg). The Antevy formula was the most accurate age-based formula, with 49.2% estimates within 10% of measured weight, 80.1% estimates within 20% of measured weight, MAE of 2.8 kg, and RMSE of 4.7 kg. Estimates became less accurate as BMI and estimated weight increased for all methods. Among children with medical complexity (14.1%), the Broselow tape consistently outperformed age-based formulae, with 47.7% estimates within 10% of measured weight, 77.1% estimates within 20% of measured weight, MAE of 2.6 kg, and RMSE of 5.4 kg. The Antevy formula remained the most accurate age-based method among children with medical complexity. CONCLUSION: The Broselow tape predicted weight most accurately in this large sample of children, including among those with medical complexity. The Antevy formula is the most accurate age-based method for pediatric weight estimation.

Centiles for the shock index among injured children in the prehospital setting.

OBJECTIVE: The shock index (SI), the ratio of heart rate to systolic blood pressure, is a clinical tool for assessing injury severity. Age-adjusted SI models may improve predictive value for injured children in the out-of-hospital setting. We sought to characterize the proportion of children in the prehospital setting with an abnormal SI using established criteria, describe the age-based distribution of SI among injured children, and determine prehospital interventions by SI. METHODS: We performed a multi-agency retrospective cross-sectional study of children (<18 years) in the prehospital setting with a scene encounter for suspected trauma and transported to the hospital between 2018 and 2022 using the National Emergency Medical Services (EMS) Information System datasets. Our exposure of interest was the first calculated SI. We identified the proportion of children with an abnormal SI when using the SI, pediatric age-adjusted (SIPA); and the pediatric SI (PSI) criteria. We developed and internally validated an age-based distributional model for the SI using generalized additive models for location, scale, and shape to describe the age-based distribution of the SI as a centile or Z-score. We evaluated EMS interventions (basic airway interventions, advanced airway interventions, cardiac interventions, vascular access, intravenous fluids, and vasopressor use) in relation to both the SIPA, PSI, and distributional SI values. RESULTS: We analyzed 1,007,863 pediatric EMS trauma encounters (55.0% male, median age 13 years [IQR, 8-16 years]). The most common dispatch complaint was for traffic/transport related injury (32.9%). When using the PSI and SIPA, 13.1% and 16.3% were classified as having an abnormal SI, respectively. There were broad differences in the percentage of encounters classified as having an abnormal SI across the age range, varying from 5.1 to 22.8% for SIPA and 3.7-20.1% for PSI. The SIPA values ranged from the 75th to 95th centiles, while the PSI corresponded to an SI greater than the 90th centile, except in older children. The centile distribution for SI declined during early childhood and stabilized during adolescence and demonstrated a difference of <0.1% at cutoff values. An abnormal PSI, SIPA and higher SI centiles (>90th centile and >95th centiles) were associated with interventions related to basic and advanced airway management, cardiac procedures, vascular access, and provision of intravenous fluids occurred with greater frequency at higher SI centiles. Some procedures, including airway management and vascular access, had a smaller peak at lower (<10th) centiles. DISCUSSION: We describe the empiric distribution of the pediatric SI across the age range, which may overcome limitations of extant criteria in identifying patients with shock in the prehospital setting. Both high and low SI values were associated with important, potentially lifesaving EMS interventions. Future work may allow for more precise identification of children with significant injury using cutpoint analysis paired to outcome-based criteria. These may additionally be combined with other physiologic and mechanistic criteria to assist in triage decisions.

Trends and hospital practice variation for analgesia for children with sickle cell disease with vaso-occlusive pain episodes: An 11-year analysis.

This cross-sectional analysis of 86,111 visits for sickle cell disease and vaso-occlusive episodes (VOE) in U.S. pediatric emergency departments between 2013 and 2023 shows increased use of NSAIDs, ketamine, and acetaminophen, with unchanged opioid use. Hospitals with a higher volume of VOE visits more frequently administered opioids. BACKGROUND: Vaso-occlusive episodes (VOEs) are a hallmark of sickle cell disease (SCD), leading to frequent emergency department (ED) visits. Effective pain management is crucial, with guidelines recommending routine use of non-steroidal anti-inflammatory drugs (NSAIDs) with opioids, and emerging evidence supporting ketamine use. However, these recommendations are based on low-certainty evidence, and the impact of these guidelines on analgesia use over time remains unclear. OBJECTIVE: This study aimed to analyze trends in analgesia use over an 11-year period in pediatric SCD patients presenting to U.S. EDs with VOE and assess variations in treatment across hospitals. METHODS: A cross-sectional study was conducted using data from the Pediatric Health Information System covering 34 U.S. children's hospitals from January 1, 2013, to December 31, 2023. The primary outcomes were the proportions of visits where opioids, NSAIDs, acetaminophen, and/or ketamine were administered on the first calendar day of the initial visit. Secondary outcomes included the co-administration of NSAIDs with opioids. Logistic and linear regression models were used to assess trends and hospital-level variations. RESULTS: A total of 86,111 ED visits for VOE were analyzed. Opioids were administered in 82 % of encounters, NSAIDs in 72 %, acetaminophen in 17 %, and ketamine in 1 %. Co-administration of NSAIDs with opioids occurred in 59 % of the visits. Among discharged patients, there was a positive trend for NSAID use (slope: 1.68 %/year, 95 % CI: 0.91 %, 2.45 %) and NSAID-opioid co-administration (slope: 1.03 %/year, 95 % CI: 0.37 %, 1.69 %) over time. Acetaminophen use also increased over the study period (slope: 0.99 %/year, 95 % CI: 0.80 %, 1.17 %). In hospitalized patients, there was a significant upward trend for acetaminophen (slope: 1.29 %/year, 95 % CI: 0.69 %, 1.89 %) and ketamine (slope: 0.36 %/year, 95 % CI: 0.27 %, 0.45 %), while opioid use remained unchanged. Significant hospital-level variations were observed, with larger hospitals more likely to administer opioids but less likely to co-administer NSAIDs with opioids compared to medium-volume hospitals. CONCLUSION: Over the past decade, the use of NSAIDs, acetaminophen, and ketamine has increased in the management of VOE in pediatric SCD patients, while opioid use remains consistent. The co-administration of NSAIDs and opioids has also increased, reflecting guideline adherence. Variations in analgesia practices across hospitals underscore the need for standardizing pain management strategies in this population.

The Shock Index among Children Presenting to the Emergency Department: Analysis of Nationally Representative Sample.

BACKGROUND: The Shock Index (SI) is emerging as a potentially useful measure among children with injury or suspected sepsis. OBJECTIVE: The aim of this study was to evaluate the distribution of the SI and evaluate its association with clinical outcomes among all children presenting to the emergency department (ED). METHODS: A complex survey of nonfederal U.S. ED encounters from 2016 through 2021 was analyzed. Among children, the Pediatric Age-Adjusted Shock Index (SIPA), Pediatric Shock Index (PSI), and the Temperature- and Age-Adjusted Shock Index (TAMSI) were analyzed. The association of these criteria with disposition, acuity, medication administration, diagnoses and procedures was analyzed. RESULTS: A survey-weighted 81.5 million ED visits were included for children aged 4-16 years and 117.2 million visits were included for children aged 1-12 years. SI could be calculated for 78.6% of patients aged 4-16 years and 57.9% of patients aged 1-12 years. An abnormal SI was present in 15.9%, 11.1%, and 31.7% when using the SIPA, PSI, and TAMSI, respectively. With all criteria, an elevated SI was associated with greater hospitalization. The SIPA and PSI were associated with triage acuity. All criteria were associated with medical interventions, including provision of IV fluids and acquisition of blood cultures. CONCLUSIONS: An elevated SI is indicative of greater resource utilization needs among children in the ED. When using any criteria, an elevated SI was associated with clinically important outcomes. Further research is required to evaluate the distribution of the SI in children and to investigate its potential role within existing triage algorithms for children in the ED.

Preferences for Management of Pediatric Pneumonia: A Clinician Survey of Artificially Generated Patient Cases.

BACKGROUND: It is unknown which factors are associated with chest radiograph (CXR) and antibiotic use for suspected community-acquired pneumonia (CAP) in children. We evaluated factors associated with CXR and antibiotic preferences among clinicians for children with suspected CAP using case scenarios generated through artificial intelligence (AI). METHODS: We performed a survey of general pediatric, pediatric emergency medicine, and emergency medicine attending physicians employed by a private physician contractor. Respondents were given 5 unique, AI-generated case scenarios. We used generalized estimating equations to identify factors associated with CXR and antibiotic use. We evaluated the cluster-weighted correlation between clinician suspicion and clinical prediction model risk estimates for CAP using 2 predictive models. RESULTS: A total of 172 respondents provided responses to 839 scenarios. Factors associated with CXR acquisition (OR, [95% CI]) included presence of crackles (4.17 [2.19, 7.95]), prior pneumonia (2.38 [1.32, 4.20]), chest pain (1.90 [1.18, 3.05]) and fever (1.82 [1.32, 2.52]). The decision to use antibiotics before knowledge of CXR results included past hospitalization for pneumonia (4.24 [1.88, 9.57]), focal decreased breath sounds (3.86 [1.98, 7.52]), and crackles (3.45 [2.15, 5.53]). After revealing CXR results to clinicians, these results were the sole predictor associated with antibiotic decision-making. Suspicion for CAP correlated with one of 2 prediction models for CAP (Spearman's rho = 0.25). Factors associated with a greater suspicion of pneumonia included prior pneumonia, duration of illness, worsening course of illness, shortness of breath, vomiting, decreased oral intake or urinary output, respiratory distress, head nodding, focal decreased breath sounds, focal rhonchi, fever, and crackles, and lower pulse oximetry. CONCLUSIONS: Ordering preferences for CXRs demonstrated similarities and differences with evidence-based risk models for CAP. Clinicians relied heavily on CXR findings to guide antibiotic ordering. These findings can be used within decision support systems to promote evidence-based management practices for pediatric CAP.

Prehospital Seizure Management in Children: An Evaluation of a Nationally Representative Sample.

OBJECTIVE: To describe the characteristics and emergency medical services (EMS) interventions, appropriateness of medication dosing, and factors associated with use of any or multiple doses of benzodiazepines for children with seizures in the prehospital setting from a nationally representative dataset. METHODS: We performed a retrospective study of EMS encounters within the National EMS Information System between 2019 and 2021, including children (<18 years) with an impression of seizures. We identified (1) factors associated with the use of benzodiazepines in a logistic regression model and (2) factors associated with multiple doses of benzodiazepines in an ordinal regression model. RESULTS: We included 361 177 encounters for seizure. Among transports with an Advanced Life Support clinician, 89.9% were given no benzodiazepines and 7.7%, 1.9%, and 0.4% were given 1, 2, and ≥3 doses of benzodiazepines, respectively. Encounters given more doses of benzodiazepines had increased use of supplemental oxygen. A high proportion (43.4%) of EMS-provided initial benzodiazepine doses were inappropriately low. EMS-provided benzodiazepine use was associated with use of benzodiazepine prior to EMS arrival. Provision of multiple doses of EMS-provided benzodiazepines was associated with use of a low initial dose of benzodiazepine and use of lorazepam or diazepam compared with midazolam. CONCLUSION: A large proportion of prehospital pediatric patients with seizure are given inappropriately low dose of benzodiazepines. Use of a low dose of benzodiazepine and use of benzodiazepines other than midazolam are associated with additional benzodiazepine usage. Our findings have implications for future research and quality improvement needs in pediatric prehospital seizure management.

Hospitalizations at United States Children's Hospitals and Severity of Illness by Neighborhood Child Opportunity Index.

OBJECTIVE: To describe the association between neighborhood opportunity measured by the Child Opportunity Index 2.0 (COI) and patterns of hospital admissions and disease severity among children admitted to US pediatric hospitals. STUDY DESIGN: Retrospective, cross-sectional study of 773 743 encounters for children <18 years of age admitted to US children's hospitals participating in the Pediatric Health Information System database 7/2020-12/2021. RESULTS: The proportion of children from each COI quintile was inversely related to the degree of neighborhood opportunity. The difference between the proportion of patients from Very Low COI and Very High COI ranged from +32.0% (type 2 diabetes mellitus with complications) to -14.1% (mood disorders). The most common principal diagnoses were acute bronchiolitis, respiratory failure/insufficiency, chemotherapy, and asthma. Of the 45 diagnoses which occurred in ≥0.5% of the cohort, 22, including type 2 diabetes mellitus, asthma, and sleep apnea had higher odds of occurring in lower COI tiers in multivariable analysis. Ten diagnoses, including mood disorders, neutropenia, and suicide and intentional self-inflicted injury had lower odds of occurring in the lower COI tiers. The proportion of patients needing critical care and who died increased, as neighborhood opportunity decreased. CONCLUSIONS: Pediatric hospital admission diagnoses and severity of illness are disproportionately distributed across the range of neighborhood opportunity, and these differences persist after adjustment for factors including race/ethnicity and payor status, suggesting that these patterns in admissions reflect disparities in neighborhood resources and differential access to care.

External Validation of the UTICalc with and Without Race for Pediatric Urinary Tract Infection.

OBJECTIVE: To validate externally the UTICalc, a popular clinical decision support tool used to determine the risk of urinary tract infections (UTIs) in febrile children, and compare its performance with and without the inclusion of race and at differing risk thresholds. METHODS: We performed a retrospective, singlecenter case-control study of febrile children (2-24 months) in an emergency department. Cases with culture-confirmed UTI were matched 1:1 to controls. We compared the performance of the original model which included race (version 1.0) to a revised model which did not consider race (version 3.0). We evaluated model performance at risk thresholds between 2% and 5%. RESULTS: We included 185 cases and 197 controls (median age 8.4 months; IQR, 4.4-13.0 months; 60.5% girls). When using UTICalc version 1.0, the model area under the receiver operator characteristic curve (AUROC) was 73.4% (95% CI 68.4%-78.5%), which was similar to the version 3.0 model (73.8%; 95% CI 68.7%-78.8%). When using a 2% risk threshold, the version 3.0 model demonstrated a sensitivity of 96.7% and a specificity of 25.0%, with declines in sensitivity and gains in specificity at higher risk thresholds. Version 1.0 of the UTICalc had 12 false negatives, of whom 10 were Black (83%); whereas version 3.0 had 6 false negatives, of whom 2 were Black (33%). CONCLUSIONS: Versions of the UTICalc with and without race had similar performance to each other with a slight decline from the original derivation sample. The removal of race did not adversely affect the accuracy of the UTICalc.

Artificial intelligence-based clinical decision support in pediatrics.

Machine learning models may be integrated into clinical decision support (CDS) systems to identify children at risk of specific diagnoses or clinical deterioration to provide evidence-based recommendations. This use of artificial intelligence models in clinical decision support (AI-CDS) may have several advantages over traditional "rule-based" CDS models in pediatric care through increased model accuracy, with fewer false alerts and missed patients. AI-CDS tools must be appropriately developed, provide insight into the rationale behind decisions, be seamlessly integrated into care pathways, be intuitive to use, answer clinically relevant questions, respect the content expertise of the healthcare provider, and be scientifically sound. While numerous machine learning models have been reported in pediatric care, their integration into AI-CDS remains incompletely realized to date. Important challenges in the application of AI models in pediatric care include the relatively lower rates of clinically significant outcomes compared to adults, and the lack of sufficiently large datasets available necessary for the development of machine learning models. In this review article, we summarize key concepts related to AI-CDS, its current application to pediatric care, and its potential benefits and risks. IMPACT: The performance of clinical decision support may be enhanced by the utilization of machine learning-based algorithms to improve the predictive performance of underlying models. Artificial intelligence-based clinical decision support (AI-CDS) uses models that are experientially improved through training and are particularly well suited toward high-dimensional data. The application of AI-CDS toward pediatric care remains limited currently but represents an important area of future research.

Empirically Derived Age-Based Vital Signs for Children in the Out-of-Hospital Setting.

STUDY OBJECTIVE: To compare Pediatric Advanced Life Support (PALS) vital signs criteria to empirically derived vital signs cut-points for predicting out-of-hospital interventions in children. METHODS: We performed a cross-sectional study of pediatric encounters (<18 years) using the 2019 to 2020 datasets of the National Emergency Medical Services Information System, which we randomly divided into equal size derivation and validation samples. We developed age-based centile curves for initial heart rate, respiratory rate, and systolic blood pressure using generalized additive models for location, scale, and shape, which we evaluated in the validation sample. In addition, we compared the proportion of encounters with at least 1 abnormal vital sign when using empirically derived and PALS criteria and calculated their associations with the delivery of out-of-hospital medical interventions (eg, vascular access, medication delivery, or airway maneuvers). RESULTS: We included 3,704,398 encounters. Among encounters with all 3 vital signs recorded (n=2,595,217), 45.9% had at least 1 abnormal vital sign using empirically derived criteria and 75.6% with PALS derived criteria. A higher proportion of encounters with a heart rate, respiratory rate, or systolic blood pressure less than 10th or more than 90th age-based empirically derived percentile had medical interventions than those with abnormal vital signs using PALS criteria. CONCLUSION: PALS criteria classified a high proportion of children as having abnormal vital signs. Empirically derived vital signs developed from out-of-hospital encounters more accurately predict the delivery of the out-of-hospital medical interventions. If externally validated and correlated to inhospital outcomes, these cut-points may provide a useful assessment tool for children in the out-of-hospital setting.