Emergency department pediatric readiness of United States trauma centers in 2021: Trauma center facility characteristics and opportunities for improvement.

BACKGROUND: Emergency department (ED) pediatric readiness has been associated with lower mortality for injured children but has historically been suboptimal in non-pediatric trauma centers. Over the past decade, the National Pediatric Readiness Project (NPRP) has invested resources in improving ED pediatric readiness. This study aimed to quantify current trauma center pediatric readiness and identify associations with center-level characteristics to target further efforts to guide improvement. METHODS: The study cohort included all centers that responded to the 2021 NPRP national assessment and contributed data to the National Trauma Databank (NTDB) the same calendar year. Center characteristics and pediatric (0-15y) volume from the NTDB were linked to weighted pediatric readiness scores (wPRS) obtained from the NPRP assessment. Univariate and multivariable analyses were used to determine associations between wPRS and trauma center type as well as center-level facility characteristics. RESULTS: The wPRS was reported for 77% (749/973) of centers that contributed to the NTDB. ED Pediatric Readiness was highest in ACS level one pediatric trauma centers (PTCs), but wPRS in the highest quartile was seen among all adult and pediatric trauma center types. Independent predictors of high wPRS included ACS level one PTC verification, pediatric trauma volume, and the presence of a PICU. Higher-level adult trauma centers and pediatric trauma centers were more likely to have pediatric-specific physician requirements, pediatric emergency care coordinators, and pediatric quality improvement initiatives. CONCLUSION: ED pediatric readiness in trauma centers remains variable and is predictably lower in centers that lack inpatient resources. There is, however, no aspect of ED pediatric readiness that is constrained to high-level pediatric facilities, and a highest quartile wPRS was achieved in all types of adult centers in our study. Ongoing efforts to improve pediatric readiness for initial stabilization at non-pediatric centers are needed, particularly in centers that routinely transfer children out. LEVEL OF EVIDENCE: Epidemiologic, Level III.

The Association between Pediatric Readiness and Mortality for Injured Children Treated at US Trauma Centers.

OBJECTIVE: To use updated 2021 weighted Pediatric Readiness Score (wPRS) data to identify a threshold level of trauma center emergency department (ED) pediatric readiness. SUMMARY BACKGROUND DATA: Most children in the US receive initial trauma care at non-pediatric centers. The National Pediatric Readiness Project (NPRP) aims to ensure that all EDs are prepared to provide quality care for children. Trauma centers reporting the highest quartile of wPRS on the 2013 national assessment have been shown to have lower mortality. Significant efforts have been invested to improve pediatric readiness in the past decade. STUDY DESIGN: A retrospective cohort of trauma centers that completed the NPRP 2021 national assessment and contributed to the National Trauma Data Bank (NTDB) in 2019-21 was analyzed. Center-specific observed-to-expected mortality estimates for children (0-15y) were calculated using Pediatric TQIP models. Deterministic linkage was used for transferred patients to account for wPRS at the initial receiving center. Center-specific mortality odds ratios were then compared across quartiles of wPRS. RESULTS: 66,588 children from 630 centers with a median [IQR] wPRS of 79 [66-93] were analyzed. The average observed-to-expected odds of mortality (1.02 [0.97-1.06]) for centers in the highest quartile (wPRS≥93) was lower than any of the lowest three wPRS quartiles (1.19 [1.14-1.23](Q1), 1.29 [1.24-1.33](Q2), and 1.28 [1.19-1.36](Q3), all P <0.05). The presence of a pediatric-specific quality improvement plan was the domain with the strongest independent association with mortality (standardized beta -0.095 [-0.146--0.044]). CONCLUSION: Trauma centers should address gaps in pediatric readiness to include a pediatric-specific quality improvement plan and aim to achieve wPRS ≥93.

Bundled Care to Reduce Sepsis Mortality: The Improving Pediatric Sepsis Outcomes (IPSO) Collaborative.

OBJECTIVES: We sought to improve utilization of a sepsis care bundle and decrease 3- and 30- day sepsis-attributable mortality, as well as determine which care elements of a sepsis bundle are associated with improved outcomes. METHODS: Children's Hospital Association formed a QI collaborative to Improve Pediatric Sepsis Outcomes (IPSO) (January 2017-March 2020 analyzed here). IPSO Suspected Sepsis (ISS) patients were those without organ dysfunction where the provider "intended to treat" sepsis. IPSO Critical Sepsis (ICS) patients approximated those with septic shock. Process (bundle adherence), outcome (mortality), and balancing measures were quantified over time using statistical process control. An original bundle (recognition method, fluid bolus < 20 min, antibiotics < 60 min) was retrospectively compared with varying bundle time-points, including a modified evidence-based care bundle, (recognition method, fluid bolus < 60 min, antibiotics < 180 min). We compared outcomes using Pearson χ-square and Kruskal Wallis tests and adjusted analysis. RESULTS: Reported are 24 518 ISS and 12 821 ICS cases from 40 children's hospitals (January 2017-March 2020). Modified bundle compliance demonstrated special cause variation (40.1% to 45.8% in ISS; 52.3% to 57.4% in ICS). The ISS cohort's 30-day, sepsis-attributable mortality dropped from 1.4% to 0.9%, a 35.7% relative reduction over time (P < .001). In the ICS cohort, compliance with the original bundle was not associated with a decrease in 30-day sepsis-attributable mortality, whereas compliance with the modified bundle decreased mortality from 4.75% to 2.4% (P < .01). CONCLUSIONS: Timely treatment of pediatric sepsis is associated with reduced mortality. A time-liberalized care bundle was associated with greater mortality reductions.

Children's surgery verification and value-based care in pediatric surgery.

With the prevailing focus on increasing value in healthcare, understanding the different components of the value equation is of primary importance. Michael E. Porter's writings on the value agenda and the use of integrated practice units (IPUs) have provided easy correlation to adult disease entities with large populations sharing common pathways and providers in the diagnosis and care of these patients. In pediatric surgery, with smaller populations and larger numbers of rare or unique conditions and anatomic challenges, utilizing the concept of an IPU is more challenging. The literature has generally shown the improvements in quality of care through participation in various programs through the American College of Surgeons (ACS) such as trauma verification, or the National Surgical Quality Improvement Project (NSQIP), but that participation alone does not guarantee better outcomes. Use of these programs in conjunction with participation in quality collaboratives have tended to show favorable returns on investment for these programs. We seek to demonstrate how the Children's Surgery Verification (CSV) program provides pediatric surgeons an effective vehicle with which to engage the value agenda, evaluating and improving care over the care continuum in order to improve the function of children's hospitals as larger integrated units.

Federated data health networks hold potential for accelerating emergency research.

Multi-center research networks often supported by centralized data centers are integral in generating high-quality evidence needed to address the gaps in emergency care. However, there are substantial costs to maintain high-functioning data centers. A novel distributed or federated data health networks (FDHN) approach has been used recently to overcome the shortcomings of centralized data approaches. A FDHN in emergency care is comprised of a series of decentralized, interconnected emergency departments (EDs) where each site's data is structured according to a common data model that allows data to be queried and/or analyzed without the data leaving the site's institutional firewall. To best leverage FDHNs for emergency care research networks, we propose a stepwise, 2-level development and deployment process-creating a lower resource requiring Level I FDHN capable of basic analyses, or a more resource-intense Level II FDHN capable of sophisticated analyses such as distributed machine learning. Importantly, existing electronic health records-based analytical tools can be leveraged without substantial cost implications for research networks to implement a Level 1 FDHN. Fewer regulatory barriers associated with FDHN have a potential for diverse, non-network EDs to contribute to research, foster faculty development, and improve patient outcomes in emergency care.

Utilizing big data from electronic health records in pediatric clinical care.

Big data has the capacity to transform both pediatric healthcare delivery and research, but its potential has yet to be fully realized. Curation of large multi-institutional datasets of high-quality data has allowed for significant advances in the timeliness of quality improvement efforts. Improved access to large datasets and computational power have also paved the way for the development of high-performing, data-driven decision support tools and precision medicine approaches. However, implementation of these approaches and tools into pediatric practice has been hindered by challenges in our ability to adequately capture the heterogeneity of the pediatric population as well as the nuanced complexities of pediatric diseases such as sepsis. Moreover, there are large gaps in knowledge and definitive evidence demonstrating the utility, usability, and effectiveness of these types of tools in pediatric practice, which presents significant challenges to provider willingness to leverage these solutions. The next wave of transformation for pediatric healthcare delivery and research through big data and sophisticated analytics will require focusing efforts on strategies to overcome cultural barriers to adoption and acceptance. IMPACT: Big data from EHRs can be used to drive improvement in pediatric clinical care. Clinical decision support, artificial intelligence, machine learning, and precision medicine can transform pediatric care using big data from the EHR. This article provides a review of barriers and enablers for the effective use of data analytics in pediatric clinical care using pediatric sepsis as a use case. The impact of this review is that it will inform influencers of pediatric care about the importance of current trends in data analytics and its use in improving outcomes of care through EHR-based strategies.

The evolving value of older biomarkers in the clinical diagnosis of pediatric sepsis.

Sepsis remains the leading cause of childhood mortality worldwide. The evolving definition of pediatric sepsis is extrapolated from adult studies. Although lacking formal validation in the pediatric population, this working definition has historically proven its clinical utility. Prompt identification of pediatric sepsis is challenging as clinical picture is often variable. Timely intervention is crucial for optimal outcome, thus biomarkers are utilized to aid in immediate, yet judicious, diagnosis of sepsis. Over time, their use in sepsis has expanded with discovery of newer biomarkers that include genomic bio-signatures. Despite recent scientific advances, there is no biomarker that can accurately diagnose sepsis. Furthermore, older biomarkers are readily available in most institutions while newer biomarkers are not. Hence, the latter's clinical value in pediatric sepsis remains theoretical. Albeit promising, scarce data on newer biomarkers have been extracted from research settings making their clinical value unclear. As interest in newer biomarkers continue to proliferate despite their ambiguous clinical use, the literature on older biomarkers in clinical settings continue to diminish. Thus, revisiting the evolving value of these earliest biomarkers in optimizing pediatric sepsis diagnosis is warranted. This review focuses on the four most readily available biomarkers to bedside clinicians in diagnosing pediatric sepsis. IMPACT: The definition of pediatric sepsis remains an extrapolation from adult studies. Older biomarkers that include C-reactive protein, procalcitonin, ferritin, and lactate are the most readily available biomarkers in most pediatric institutions to aid in the diagnosis of pediatric sepsis. Older biomarkers, although in varying levels of reliability, remain to be useful clinical adjuncts in the diagnosis of pediatric sepsis if used in the appropriate clinical context. C-reactive protein and procalcitonin are more sensitive and specific among these older biomarkers in diagnosing pediatric sepsis although evidence varies in different age groups and clinical scenarios.

Intravenous Fluid Bolus Rates Associated with Outcomes in Pediatric Sepsis: A Multi-Center Analysis.

Purpose: Pediatric sepsis guidelines recommend rapid intravenous fluid (IVF) bolus administration rates (BAR). Recent sepsis studies suggest that rapid BAR may be associated with increased morbidity. We aimed to describe the association between emergency department (ED) IVF BAR and clinical outcomes in pediatric sepsis. Patients and Methods: Secondary post-hoc analysis of retrospective cohort data from 19 hospitals in the Pediatric Septic Shock Collaborative (PSSC) database. Patients with presumed septic shock were defined by severe sepsis/septic shock diagnostic codes, receipt of septic shock therapies, or floor-to-ICU transfers within 12 hours from ED admission for septic shock. Patients (2 months-21 years) with complete data on weight, antibiotic receipt, bolus timing, and bolus volumes were included. The primary outcome was 30-day mortality. Associations between BAR and mortality and secondary (intubation or non-invasive positive pressure ventilation = NIPPV) outcomes were assessed using unadjusted and adjusted logistic regression. Results: The PSSC database included 6731 patients; 3969 met inclusion and received a median ED volume of 40.2 mL/kg. Seventy-six (1.9%) patients died, 151 (3.8%) were intubated, and 235 (5.9%) had NIPPV administered. The median BAR was 25.7 mL/kg/hr. For each 20 mL/kg/hr increase in BAR, the adjusted odds ratio (aOR) for 30-day mortality [aOR = 1.11 (95% CI 1.01, 1.23)], intubation [aOR = 1.25 (95% CI 1.09, 1.44)], and NIPPV [aOR = 1.20 (95% CI 1.05, 1.38)] significantly increased. Conclusion: Faster ED IVF bolus administration rates in this pediatric sepsis database were associated with higher adjusted odds of death, intubation and NIPPV. Controlled trials are needed to determine if these associations are replicable.

Establishing national stakeholder priorities for quality improvement in pediatric trauma care: Consensus results using a modified Delphi process.

BACKGROUND: Quality improvement efforts within pediatric trauma centers (PTCs) are robust, but the majority of children do not receive initial postinjury care at PTCs. Disparities in access to quality trauma care remain, particularly for children who initially access the trauma system outside of a PTC. The purpose of this project was to identify unmet needs for injured children within the pediatric emergency care system and to determine national priorities for quality improvement across the continuum of pediatric trauma care. METHODS: A panel of delegates representing patients and families, prehospital providers, federal funding partners, nurses, and physicians was recruited from 10 national stakeholder organizations. Potential targets were identified using an initial stakeholder meeting followed by a free text response survey. Free text items were coded and condensed as themes and then ranked by the panel using a modified Delphi approach to determine consensus priorities. Items not achieving >35% prioritization on a given iteration were dropped from subsequent iterations. Consensus was defined as 75% of members designating an item as a top-four priority. RESULTS: Nineteen themes were identified as potential targets for QI initiatives. Four iterations of panel ranking were used to achieve consensus, with four priorities identified: (1) creation of a toolkit and standard provider training for pediatric trauma triage, shock recognition, and early recognition for need to transfer to higher level of care; (2) development of minimum standards for pediatric trauma resuscitation and stabilization capability in nonpediatric centers; (3) facilitating creation of local nursing and physician champions for pediatric trauma; and (4) development and dissemination of best-practice guidelines to improve imaging practices for injured children. CONCLUSION: System-level quality improvement priorities for pediatric trauma care should focus resources on developing and implementing minimum pediatric standards for injury care, frontline provider training, stabilization protocols, imaging guidelines, and local pediatric champions. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level IV.

Pediatric Septic Shock Collaborative Improves Emergency Department Sepsis Care in Children.

OBJECTIVES: The pediatric emergency department (ED)-based Pediatric Septic Shock Collaborative (PSSC) aimed to improve mortality and key care processes among children with presumed septic shock. METHODS: This was a multicenter learning and improvement collaborative of 19 pediatric EDs from November 2013 to May 2016 with shared screening and patient identification recommendations, bundles of care, and educational materials. Process metrics included minutes to initial vital sign assessment and to first and third fluid bolus and antibiotic administration. Outcomes included 3- and 30-day all-cause in-hospital mortality, hospital and ICU lengths of stay, hours on increased ventilation (including new and increases from chronic baseline in invasive and noninvasive ventilation), and hours on vasoactive agent support. Analysis used statistical process control charts and included both the overall sample and an ICU subgroup. RESULTS: Process improvements were noted in timely vital sign assessment and receipt of antibiotics in the overall group. Timely first bolus and antibiotics improved in the ICU subgroup. There was a decrease in 30-day all-cause in-hospital mortality in the overall sample. CONCLUSIONS: A multicenter pediatric ED improvement collaborative showed improvement in key processes for early sepsis management and demonstrated that a bundled quality improvement-focused approach to sepsis management can be effective in improving care.

International variation in evidence-based emergency department management of bronchiolitis: a retrospective cohort study.

OBJECTIVES: We aimed to evaluate the international variation in the use of evidence-based management (EBM) in bronchiolitis. We hypothesised that management consistent with full-EBM practices is associated with the research network of care, adjusted for patient-level characteristics. Secondary objectives were to determine the association between full-EBM and (1) hospitalisation and (2) emergency department (ED) revisits resulting in hospitalisation within 21 days. DESIGN: A secondary analysis of a retrospective cohort study. SETTING: 38 paediatric EDs belonging to the Paediatric Emergency Research Network in Canada, USA, Australia/New Zealand UK/Ireland and Spain/Portugal. PATIENTS: Otherwise healthy infants 2-11 months old diagnosed with bronchiolitis between 1 January 2013 and 31 December, 2013. OUTCOME MEASURES: Primary outcome was management consistent with full-EBM, that is, no bronchodilators/corticosteroids/antibiotics, no chest radiography or laboratory testing. Secondary outcomes included hospitalisations during the index and subsequent ED visits. RESULTS: 1137/2356 (48.3%) infants received full-EBM (ranging from 13.2% in Spain/Portugal to 72.3% in UK/Ireland). Compared with the UK/Ireland, the adjusted ORs (aOR) of full-EBM receipt were lower in Spain/Portugal (aOR 0.08, 95% CI 0.02 to 0.29), Canada (aOR 0.13 (95% CI 0.06 to 0.31) and USA (aOR 0.16 (95% CI 0.07 to 0.35). EBM was less likely in infants with dehydration (aOR 0.49 (95% CI 0.33 to 0.71)), chest retractions (aOR 0.69 (95% CI 0.52 to 0.91)) and nasal flaring (aOR 0.69 (95% CI 0.52 to 0.92)). EBM was associated with reduced odds of hospitalisation at the index visit (aOR 0.77 (95% CI 0.60 to 0.98)) but not at revisits (aOR 1.17 (95% CI 0.74 to 1.85)). CONCLUSIONS: Infants with bronchiolitis frequently do not receive full-EBM ED management, particularly those outside of the UK/Ireland. Furthermore, there is marked variation in full-EBM between paediatric emergency networks, and full-EBM delivery is associated with lower likelihood of hospitalisation. Given the global bronchiolitis burden, international ED-focused deimplementation of non-indicated interventions to enhance EBM is needed.

Ready for Children Part II: Increasing Pediatric Care Coordination and Psychomotor Skills Evaluation in the Prehospital Setting.

Objectives: Treating pediatric patients often invokes discomfort and anxiety among emergency medical service (EMS) personnel. As part of the process to improve pediatric care in the prehospital system, the Health Resources and Services Administration (HRSA) Emergency Services for Children (EMSC) Program implemented two prehospital performance measures -access to a designated pediatric care coordinator (PECC) and skill evaluation using pediatric equipment-along with a multi-year plan to aid states in achieving the measures. Baseline data from a survey conducted in 2017 showed that less than 25% of EMS agencies had access to PECC and 47% performed skills evaluation using pediatric equipment at least twice a year. To evaluate change over time, the survey was again conducted in 2020, and agencies that participated in both years are compared. Methods: A web-based survey was sent to EMS agency administrators in 58 states and territories from January to March 2020. Descriptive statistics, odds ratios, and 95% confidence intervals were conducted. Results: The response rate was 56%. A total of 5,221 agencies participated in both survey periods representing over 250,000 providers. The percentage of agencies reporting the presence of a PECC increased from 24% to 34% (p= <0.001). However, some agencies reported that they no longer had a PECC, while others reported having a PECC for the first time. Fifty percent (50%) of agencies conduct pediatric psychomotor skills evaluation at least twice/year, a 2% increase over time (p = 0.041); however, a third (34%) evaluate skills using pediatric equipment less than once a year. The presence of a PECC continues to be the variable associated with the highest odds (AOR 2.15, 95% CI 1.91-2.43) of conducting at least semiannual skills evaluation.Conclusions: There is an increase in the presence of pediatric care coordination and the frequency of pediatric psychomotor skills evaluation among national EMS agencies over time. Continued efforts to increase and sustain PECC presence should be an ongoing focus to improve pediatric readiness in the prehospital system.

Metric Development for the Multicenter Improving Pediatric Sepsis Outcomes (IPSO) Collaborative.

BACKGROUND: A 56 US hospital collaborative, Improving Pediatric Sepsis Outcomes, has developed variables, metrics and a data analysis plan to track quality improvement (QI)-based patient outcomes over time. Improving Pediatric Sepsis Outcomes expands on previous pediatric sepsis QI efforts by improving electronic data capture and uniformity across sites. METHODS: An expert panel developed metrics and corresponding variables to assess improvements across the care delivery spectrum, including the emergency department, acute care units, hematology and oncology, and the ICU. Outcome, process, and balancing measures were represented. Variables and statistical process control charts were mapped to each metric, elucidating progress over time and informing plan-do-study-act cycles. Electronic health record (EHR) abstraction feasibility was prioritized. Time 0 was defined as time of earliest sepsis recognition (determined electronically), or as a clinically derived time 0 (manually abstracted), identifying earliest physiologic onset of sepsis. RESULTS: Twenty-four evidence-based metrics reflected timely and appropriate interventions for a uniformly defined sepsis cohort. Metrics mapped to statistical process control charts with 44 final variables; 40 could be abstracted automatically from multiple EHRs. Variables, including high-risk conditions and bedside huddle time, were challenging to abstract (reported in <80% of encounters). Size or type of hospital, method of data abstraction, and previous QI collaboration participation did not influence hospitals' abilities to contribute data. To date, 90% of data have been submitted, representing 200 007 sepsis episodes. CONCLUSIONS: A comprehensive data dictionary was developed for the largest pediatric sepsis QI collaborative, optimizing automation and ensuring sustainable reporting. These approaches can be used in other large-scale sepsis QI projects in which researchers seek to leverage EHR data abstraction.

Development of a Quality Improvement Learning Collaborative to Improve Pediatric Sepsis Outcomes.

Pediatric sepsis is a major public health problem. Published treatment guidelines and several initiatives have increased adherence with guideline recommendations and have improved patient outcomes, but the gains are modest, and persistent gaps remain. The Children's Hospital Association Improving Pediatric Sepsis Outcomes (IPSO) collaborative seeks to improve sepsis outcomes in pediatric emergency departments, ICUs, general care units, and hematology/oncology units. We developed a multicenter quality improvement learning collaborative of US children's hospitals. We reviewed treatment guidelines and literature through 2 in-person meetings and multiple conference calls. We defined and analyzed baseline sepsis-attributable mortality and hospital-onset sepsis and developed a key driver diagram (KDD) on the basis of treatment guidelines, available evidence, and expert opinion. Fifty-six hospital-based teams are participating in IPSO; 100% of teams are engaged in educational and information-sharing activities. A baseline, sepsis-attributable mortality of 3.1% was determined, and the incidence of hospital-onset sepsis was 1.3 cases per 1000 hospital admissions. A KDD was developed with the aim of reducing both the sepsis-attributable mortality and the incidence of hospital-onset sepsis in children by 25% from baseline by December 2020. To accomplish these aims, the KDD primary drivers focus on improving the following: treatment of infection; recognition, diagnosis, and treatment of sepsis; de-escalation of unnecessary care; engagement of patients and families; and methods to optimize performance. IPSO aims to improve sepsis outcomes through collaborative learning and reliable implementation of evidence-based interventions.

Evaluating Pediatric Sepsis Definitions Designed for Electronic Health Record Extraction and Multicenter Quality Improvement.

OBJECTIVES: To describe the Children's Hospital Association's Improving Pediatric Sepsis Outcomes sepsis definitions and the identified patients; evaluate the definition using a published framework for evaluating sepsis definitions. DESIGN: Observational cohort. SETTING: Multicenter quality improvement collaborative of 46 hospitals from January 2017 to December 2018, excluding neonatal ICUs. PATIENTS: Improving Pediatric Sepsis Outcomes Sepsis was defined by electronic health record evidence of suspected infection and sepsis treatment or organ dysfunction. A more severely ill subgroup, Improving Pediatric Sepsis Outcomes Critical Sepsis, was defined, approximating septic shock. INTERVENTIONS: Participating hospitals identified patients, extracted data, and transferred de-identified data to a central data warehouse. The definitions were evaluated across domains of reliability, content validity, construct validity, criterion validity, measurement burden, and timeliness. MEASUREMENTS AND MAIN RESULTS: Forty hospitals met data quality criteria across four electronic health record platforms. There were 23,976 cases of Improving Pediatric Sepsis Outcomes Sepsis, including 8,565 with Improving Pediatric Sepsis Outcomes Critical Sepsis. The median age was 5.9 years. There were 10,316 (43.0%) immunosuppressed or immunocompromised patients, 4,135 (20.3%) with central lines, and 2,352 (11.6%) chronically ventilated. Among Improving Pediatric Sepsis Outcomes Sepsis patients, 60.8% were admitted to intensive care, 26.4% had new positive-pressure ventilation, and 19.7% received vasopressors. Median hospital length of stay was 6.0 days (3.0-13.0 d). All-cause 30-day in-hospital mortality was 958 (4.0%) in Improving Pediatric Sepsis Outcomes Sepsis; 541 (6.3%) in Improving Pediatric Sepsis Outcomes Critical Sepsis. The Improving Pediatric Sepsis Outcomes Sepsis definitions demonstrated strengths in content validity, convergent construct validity, and criterion validity; weakness in reliability. Improving Pediatric Sepsis Outcomes Sepsis definitions had significant initial measurement burden (median time from case completion to submission: 15 mo [interquartile range, 13-18 mo]); timeliness improved once data capture was established (median, 26 d; interquartile range, 23-56 d). CONCLUSIONS: The Improving Pediatric Sepsis Outcomes Sepsis definitions demonstrated feasibility for large-scale data abstraction. The patients identified provide important information about children treated for sepsis. When operationalized, these definitions enabled multicenter identification and data aggregation, indicating practical utility for quality improvement.

Machine learning-based prediction of acute severity in infants hospitalized for bronchiolitis: a multicenter prospective study.

We aimed to develop machine learning models to accurately predict bronchiolitis severity, and to compare their predictive performance with a conventional scoring (reference) model. In a 17-center prospective study of infants (aged < 1 year) hospitalized for bronchiolitis, by using routinely-available pre-hospitalization data as predictors, we developed four machine learning models: Lasso regression, elastic net regression, random forest, and gradient boosted decision tree. We compared their predictive performance-e.g., area-under-the-curve (AUC), sensitivity, specificity, and net benefit (decision curves)-using a cross-validation method, with that of the reference model. The outcomes were positive pressure ventilation use and intensive treatment (admission to intensive care unit and/or positive pressure ventilation use). Of 1,016 infants, 5.4% underwent positive pressure ventilation and 16.0% had intensive treatment. For the positive pressure ventilation outcome, machine learning models outperformed reference model (e.g., AUC 0.88 [95% CI 0.84-0.93] in gradient boosted decision tree vs 0.62 [95% CI 0.53-0.70] in reference model), with higher sensitivity (0.89 [95% CI 0.80-0.96] vs. 0.62 [95% CI 0.49-0.75]) and specificity (0.77 [95% CI 0.75-0.80] vs. 0.57 [95% CI 0.54-0.60]). The machine learning models also achieved a greater net benefit over ranges of clinical thresholds. Machine learning models consistently demonstrated a superior ability to predict acute severity and achieved greater net benefit.

International Practice Patterns of Antibiotic Therapy and Laboratory Testing in Bronchiolitis.

BACKGROUND AND OBJECTIVES: International patterns of antibiotic use and laboratory testing in bronchiolitis in emergency departments are unknown. Our objective is to evaluate variation in the use of antibiotics and nonindicated tests in infants with bronchiolitis in 38 emergency departments in Pediatric Emergency Research Networks in Canada, the United States, Australia and New Zealand, the United Kingdom and Ireland, and Spain and Portugal. We hypothesized there would be significant variation, adjusted for patient characteristics. METHODS: We analyzed a retrospective cohort study of previously healthy infants aged 2 to 12 months with bronchiolitis. Variables examined included network, poor feeding, dehydration, nasal flaring, chest retractions, apnea, saturation, respiratory rate, fever, and suspected bacterial infection. Outcomes included systemic antibiotic administration and urine, blood, or viral testing or chest radiography (CXR). RESULTS: In total, 180 of 2359 (7.6%) infants received antibiotics, ranging from 3.5% in the United Kingdom and Ireland to 11.1% in the United States. CXR (adjusted odds ratio [aOR] 2.3; 95% confidence interval 1.6-3.2), apnea (aOR 2.2; 1.1-3.5), and fever (aOR 2.4; 1.7-3.4) were associated with antibiotic use, which did not vary across networks (P = .15). In total, 768 of 2359 infants (32.6%) had ≥1 nonindicated test, ranging from 12.7% in the United Kingdom and Ireland to 50% in Spain and Portugal. Compared to the United Kingdom and Ireland, the aOR (confidence interval) results for testing were Canada 5.75 (2.24-14.76), United States 4.14 (1.70-10.10), Australia and New Zealand 2.25 (0.86-5.74), and Spain and Portugal 3.96 (0.96-16.36). Testing varied across networks (P < .0001) and was associated with suspected bacterial infections (aOR 2.12; 1.30-2.39) and most respiratory distress parameters. Viral testing (591 of 768 [77%]) and CXR (507 of 768 [66%]) were obtained most frequently. CONCLUSIONS: The rate of antibiotic use in bronchiolitis was low across networks and was associated with CXR, fever, and apnea. Nonindicated testing was common outside of the United Kingdom and Ireland and varied across networks irrespective of patient characteristics.

Clinical Predictors for Abnormal Renal Bladder Ultrasound in Hospitalized Young Children With a First Febrile Urinary Tract Infection.

BACKGROUND: Physicians often obtain a routine renal bladder ultrasound (RBUS) for young children with a first febrile urinary tract infection (UTI). However, few children are diagnosed with serious anatomic anomalies, and opportunity may exist to take a focused approach to ultrasonography. We aimed to identify characteristics of the child, prenatal ultrasound (PNUS), and illness that could be used to predict an abnormal RBUS and measure the impact of RBUS on management. METHODS: We conducted a single-center prospective cohort study of hospitalized children 0 to 24 months of age with a first febrile UTI from October 1, 2016, to December 23, 2018. Independent variables included characteristics of the child, PNUS, and illness. The primary outcome, abnormal RBUS, was defined through consensus of a multidisciplinary team on the severity of ultrasound findings important to identify during a first UTI. RESULTS: A total of 211 children were included; the median age was 1.0 month (interquartile range 0-2), and 55% were uncircumcised boys. All mothers had a PNUS with 10% being abnormal. Escherichia coli was the pathogen in 85% of UTIs, 20% (n = 39 of 197) had bacteremia, and 7% required intensive care. Abnormal RBUS was found in 36% (n = 76 of 211) of children; of these, 47% (n = 36 of 76) had moderately severe findings and 53% (n = 40 of 76) had severe findings. No significant difference in clinical characteristics was seen among children with and without an abnormal RBUS. One child had Foley catheter placement, and 33% received voiding cystourethrograms, 15% antibiotic prophylaxis, and 16% subspecialty referrals. CONCLUSIONS: No clinical predictors were identified to support a focused approach to RBUS examinations. Future studies should investigate the optimal timing for RBUS.

Characterizing Avoidable Transfer Admissions in Infants Hospitalized for Bronchiolitis.

OBJECTIVES: The appropriateness of interfacility transfer admissions for bronchiolitis to pediatric centers is uncertain. We characterized avoidable transfer admissions for bronchiolitis. We hypothesized that a higher proportion of hospitalized infants transferred from a community emergency department (ED) or hospital (transfer admission) would be discharged within 48 hours with little or no intervention, compared with direct admissions from an enrolling ED (nontransfer admission). METHODS: We analyzed a 17-center, prospective infant cohort (age <1 year) hospitalized for bronchiolitis (2011-2014). An avoidable transfer admission (primary outcome) was hospitalization for <48 hours without an intervention for severe illness in which a pediatric specialist could be beneficial (oxygen, advanced airway management, life support). Parenteral fluids and routine medications were excluded. We compared admissions by patient, ED, inpatient, and transferring hospital characteristics to identify factors associated with avoidable transfer admissions. Multivariable logistic regression was used to identify predictors of avoidable transfer admission. RESULTS: Among 1007 infants, 558 (55%) were nontransfer admissions, 164 (16%) were transfer admissions, and 204 (20%) were referrals from clinics; 81 (8%) were missing referral type. Significantly fewer transferred infants were hospitalized for <48 hours with little or no intervention (40 of 164; 24% [95% confidence interval 18%-32%]) than nontransferred infants (199 of 558; 36% [95% confidence interval 32%-40%]; P = .007). Avoidable transfer admissions were more likely to be children of color, have nonprivate insurance, receive fewer ED interventions, and originate from small EDs. A multivariable model revealed that minority race and/or ethnicity, normal oxygenation, and small ED transfers increased odds of avoidable transfer admission. CONCLUSIONS: Although most transferred infants hospitalized for bronchiolitis required interventions for severe illness, 1 in 4 admissions were potentially avoidable.