Low-Resource Hospital Days for Children Following New Tracheostomy.

BACKGROUND AND OBJECTIVES: Children with new tracheostomy and invasive mechanical ventilation (IMV) require transitional care involving caregiver education and nursing support. To better understand hospital resource use during this transition, our study aimed to: (1) define and characterize low-resource days (LRDs) for this population and (2) identify factors associated with LRD occurrence. METHODS: This retrospective cohort analysis included children ≤21 years with new tracheostomy and IMV dependence admitted to an ICU from 2017 to 2022 using the Pediatric Health Information System database. A LRD was defined as a post tracheostomy day that accrued nonroom charges <10% of each patient's accrued nonroom charges on postoperative day 1. Factors associated with LRDs were analyzed using negative binomial regression. RESULTS: Among 4048 children, median post tracheostomy stay was 69 days (interquartile range 34-127.5). LRDs were common: 38.6% and 16.4% experienced ≥1 and ≥7 LRDs, respectively. Younger age at tracheostomy (0-7 days rate ratio [RR] 2.42 [1.67-3.51]; 8-28 days RR 1.8 (1.2-2.69) versus 29-365 days; Asian race (RR 1.5 [1.04-2.16]); early tracheostomy (0-7 days RR 1.56 [1.2-2.04]), and longer post tracheostomy hospitalizations (31-60 days RR 1.85 [1.44-2.36]; 61-90 days RR 2.14 [1.58-2.91]; >90 days RR 2.21 [1.71-2.86]) were associated with more LRDs. CONCLUSIONS: Approximately 1 in 6 children experienced ≥7 LRDs. Younger age, early tracheostomy, Asian race, and longer hospital stays were associated with increased risk of LRDs. Understanding the postacute phase, including bed utilization, serves as an archetype to explore care models for children with IMV dependence.

Understanding Disparities in the Pediatric ICU: A Scoping Review.

BACKGROUND AND OBJECTIVES: Health disparities are pervasive in pediatrics. We aimed to describe disparities among patients who are likely to be cared for in the PICU and delineate how sociodemographic data are collected and categorized. METHODS: Using MEDLINE as a data source, we identified studies which included an objective to assess sociodemographic disparities among PICU patients in the United States. We created a review rubric, which included methods of sociodemographic data collection and analysis, outcome and exposure variables assessed, and study findings. Two authors reviewed every study. We used the National Institute on Minority Health and Health Disparities Research Framework to organize outcome and exposure variables. RESULTS: The 136 studies included used variable methods of sociodemographic data collection and analysis. A total of 30 of 124 studies (24%) assessing racial disparities used self- or parent-identified race. More than half of the studies (52%) dichotomized race as white and "nonwhite" or "other" in some analyses. Socioeconomic status (SES) indicators also varied; only insurance status was used in a majority of studies (72%) evaluating SES. Consistent, although not uniform, disadvantages existed for racial minority populations and patients with indicators of lower SES. The authors of only 1 study evaluated an intervention intended to mitigate health disparities. Requiring a stated objective to evaluate disparities aimed to increase the methodologic rigor of included studies but excluded some available literature. CONCLUSIONS: Variable, flawed methodologies diminish our understanding of disparities in the PICU. Meaningfully understanding and addressing health inequity requires refining how we collect, analyze, and interpret relevant data.

Race, Ethnicity, and Intensive Care Utilization for Common Pediatric Diagnoses: U.S. Pediatric Health Information System 2019 Database Study.

OBJECTIVES: Racial and ethnic disparities in healthcare delivery for acutely ill children are pervasive in the United States; it is unknown whether differential critical care utilization exists. DESIGN: Retrospective study of the Pediatric Health Information System (PHIS) database. SETTING: Multicenter database of academic children's hospitals in the United States. PATIENTS: Children discharged from a PHIS hospital in 2019 with one of the top ten medical conditions where PICU utilization was present in greater than or equal to 5% of hospitalizations. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Race and ethnicity categories included Asian, Black, Hispanic, White, and other. Primary outcomes of interest were differences in rate of PICU admission, and for children requiring PICU care, total hospital length of stay (LOS). One-quarter (n = 44,200) of the 178,134 hospital discharges included a PICU admission. In adjusted models, Black children had greater adjusted odds ratio (aOR [95% CI]) of PICU admission in bronchiolitis (aOR, 1.08 [95% CI, 1.02-1.14]; p = 0.01), respiratory failure (aOR, 1.18 [95% CI, 1.10-1.28]; p < 0.001), seizure (aOR, 1.28 [95% CI, 1.08-1.51]; p = 0.004), and diabetic ketoacidosis (DKA) (aOR, 1.18 [95% CI, 1.05-1.32]; p = 0.006). Together, Hispanic, Asian, and other race children had greater aOR of PICU admission in five of the diagnostic categories, compared with White children. The geometric mean (± sd) hospital LOS ranged from 47.7 hours (± 2.1 hr) in croup to 206.6 hours (± 2.8 hr) in sepsis. After adjusting for demographics and illness severity, non-White children had longer LOS in respiratory failure, pneumonia, DKA, and sepsis. CONCLUSIONS: The need for critical care to treat acute illness in children may be inequitable. Additional studies are needed to understand and eradicate differences in PICU utilization based on race and ethnicity.

Child Opportunity Index and Pediatric Intensive Care Outcomes: A Multicenter Retrospective Study in the United States.

OBJECTIVES: To evaluate for associations between a child's neighborhood, as categorized by Child Opportunity Index (COI 2.0), and 1) PICU mortality, 2) severity of illness at PICU admission, and 3) PICU length of stay (LOS). DESIGN: Retrospective cohort study. SETTING: Fifteen PICUs in the United States. PATIENTS: Children younger than 18 years admitted from 2019 to 2020, excluding those after cardiac procedures. Nationally-normed COI category (very low, low, moderate, high, very high) was determined for each admission by census tract, and clinical features were obtained from the Virtual Pediatric Systems LLC (Los Angeles, CA) data from each site. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among 33,901 index PICU admissions during the time period, median patient age was 4.9 years and PICU mortality was 2.1%. There was a higher percentage of admissions from the very low COI category (27.3%) than other COI categories (17.2-19.5%, p < 0.0001). Patient admissions from the high and very high COI categories had a lower median Pediatric Index of Mortality 3 risk of mortality (0.70) than those from the very low, low, and moderate COI groups (0.71) ( p < 0.001). PICU mortality was lowest in the very high (1.7%) and high (1.9%) COI groups and highest in the moderate group (2.5%), followed by very low (2.3%) and low (2.2%) ( p = 0.001 across categories). Median PICU LOS was between 1.37 and 1.50 days in all COI categories. Multivariable regression revealed adjusted odds of PICU mortality of 1.30 (95% CI, 0.94-1.79; p = 0.11) for children from a very low versus very high COI neighborhood, with an odds ratio [OR] of 0.996 (95% CI, 0.993-1.00; p = 0.05) for mortality for COI as an ordinal value from 0 to 100. Children without insurance coverage had an OR for mortality of 3.58 (95% CI, 2.46-5.20; p < 0.0001) as compared with those with commercial insurance. CONCLUSIONS: Children admitted to a cohort of U.S. PICUs were often from very low COI neighborhoods. Children from very high COI neighborhoods had the lowest risk of mortality and observed mortality; however, odds of mortality were not statistically different by COI category in a multivariable model. Children without insurance coverage had significantly higher odds of PICU mortality regardless of neighborhood.

Association of Interventions With Outcomes in Children At-Risk for Pediatric Acute Respiratory Distress Syndrome: A Pediatric Acute Respiratory Distress Syndrome Incidence and Epidemiology Study.

OBJECTIVES: Describe the frequency with which transfusion and medications that modulate lung injury are administered to children meeting at-risk for pediatric acute respiratory distress syndrome (ARF-PARDS) criteria and evaluate for associations of transfusion, fluid balance, nutrition, and medications with unfavorable clinical outcomes. DESIGN: Secondary analysis of the Pediatric Acute Respiratory Distress Syndrome Incidence and Epidemiology study, a prospective point prevalence study. All enrolled ARF-PARDS patients were included unless they developed subsequent pediatric acute respiratory distress syndrome (PARDS) within 24 hours of PICU admission or PICU length of stay was less than 24 hours. Univariate and multivariable analyses were used to identify associations between therapies given during the first 2 calendar days after ARF-PARDS diagnosis and subsequent PARDS diagnosis (primary outcome), 28-day PICU-free days (PFDs), and 28-day ventilator-free days (VFDs). SETTING: Thirty-seven international PICUs. PATIENTS: Two hundred sixty-seven children meeting Pediatric Acute Lung Injury Consensus Conference ARF-PARDS criteria. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: During the first 2 days after meeting ARF-PARDS criteria, 55% of subjects received beta-agonists, 42% received corticosteroids, 28% received diuretics, and 9% were transfused. Subsequent PARDS (15%) was associated with platelet transfusion (n = 11; adjusted odds ratio: 4.75 [95% CI 1.03-21.92]) and diuretics (n = 74; 2.55 [1.19-5.46]) in multivariable analyses that adjusted for comorbidities, PARDS risk factor, initial oxygen saturation by pulse oximetry:Fio2 ratio, and initial type of ventilation. Beta-agonists were associated with lower adjusted odds of subsequent PARDS (0.43 [0.19-0.98]). Platelets and diuretics were also associated with fewer PFDs and fewer VFDs in the multivariable models, and TPN was associated with fewer PFDs. Corticosteroids, net fluid balance, and volume of enteral feeding were not associated with the primary or secondary outcomes. CONCLUSIONS: There is an independent association between platelet transfusion, diuretic administration, and unfavorable outcomes in children at risk for PARDS, although this may be related to treatment bias and unmeasured confounders. Nevertheless, prospective evaluation of the role of these management strategies on outcomes in children with ARF-PARDS is needed.

Machine learning models to predict and benchmark PICU length of stay with application to children with critical bronchiolitis.

OBJECTIVE: To create models for prediction and benchmarking of pediatric intensive care unit (PICU) length of stay (LOS) for patients with critical bronchiolitis. HYPOTHESIS: We hypothesize that machine learning models applied to an administrative database will be able to accurately predict and benchmark the PICU LOS for critical bronchiolitis. DESIGN: Retrospective cohort study. PATIENTS: All patients less than 24-month-old admitted to the PICU with a diagnosis of bronchiolitis in the Pediatric Health Information Systems (PHIS) Database from 2016 to 2019. METHODOLOGY: Two random forest models were developed to predict the PICU LOS. Model 1 was developed for benchmarking using all data available in the PHIS database for the hospitalization. Model 2 was developed for prediction using only data available on hospital admission. Models were evaluated using R2 values, mean standard error (MSE), and the observed to expected ratio (O/E), which is the total observed LOS divided by the total predicted LOS from the model. RESULTS: The models were trained on 13,838 patients admitted from 2016 to 2018 and validated on 5254 patients admitted in 2019. While Model 1 had superior R2 (0.51 vs. 0.10) and (MSE) (0.21 vs. 0.37) values compared to Model 2, the O/E ratios were similar (1.18 vs. 1.20). Institutional median O/E (LOS) ratio was 1.01 (IQR 0.90-1.09) with wide variability present between institutions. CONCLUSIONS: Machine learning models developed using an administrative database were able to predict and benchmark the length of PICU stay for patients with critical bronchiolitis.

Screening for Social Determinants of Health in the Pediatric Intensive Care Unit: Recommendations for Clinicians.

Social determinants of health (SDoH) play a significant role in the health and well-being of children in the United States. Disparities in the risk and outcomes of critical illness have been extensively documented but are yet to be fully explored through the lens of SDoH. In this review, we provide justification for routine SDoH screening as a critical first step toward understanding the causes of, and effectively addressing health disparities affecting critically ill children. Second, we summarize important aspects of SDoH screening that need to be considered before implementing this practice in the pediatric critical care setting.

Nutritional Support in Children Meeting the At-Risk for Pediatric Acute Respiratory Distress Syndrome Criteria.

Pediatric acute respiratory distress syndrome (PARDS) is a prevalent condition in the PICU with a high morbidity and mortality, but effective preventative strategies are lacking. OBJECTIVES: To examine associations between early enteral nutrition (EN) and PICU outcomes in a cohort of children meeting the 2015 Pediatric Acute Lung Injury Consensus Conference "at-risk" for pediatric acute respiratory distress syndrome (ARF-PARDS) criteria. DESIGN SETTING AND PARTICIPANTS: This was a single-center, electronic health record-based retrospective chart review. We included children less than or equal to 18 years-old admitted to our mixed medical-surgical PICU from January 2017 to December 2018 who met ARF-PARDS criteria within 48 hours of admission. Children were categorized as receiving "early" EN if feeds were initiated within 48 hours of admission. All others were categorized as "delayed" EN. MAIN OUTCOMES AND MEASURES: Extracted data included demographics, illness characteristics including primary diagnosis and Pediatric Risk of Mortality (PRISM) III score, respiratory support and oxygenation indices, nutritional data, and PICU length of stay (LOS). The primary outcome of interest was subsequent diagnosis of PARDS. RESULTS: Of 201 included children, 152 (75.6%) received early EN. The most common admission diagnoses were pneumonia, bronchiolitis, and influenza. Overall, 21.4% (n = 43) of children developed PARDS. Children receiving early EN had a subsequent diagnosis of PARDS less often then children receiving delayed EN (15.1% vs 40.8%; p < 0.001), an association that persisted after adjusting for patient demographics and illness characteristics, including PRISM III and diagnosis (adjusted odds ratio, 0.24; 95% CI, 0.10-0.58; p = 0.002). Early EN was also associated with a shorter PICU LOS in univariate analysis (2.2 d [interquartile range, 1.5-3.4 d] vs 4.2 d [2.7-8.9 d]; p < 0.001). CONCLUSIONS AND RELEVANCE: In this single-center, retrospective cohort study, compared with children with ARF-PARDS who received late EN, those who received early EN demonstrated a reduced odds of subsequent diagnosis of PARDS, and an unadjusted reduction in PICU LOS when compared with delayed EN. Prospective studies should be designed to confirm these findings.

Child Opportunity Index and Hospital Utilization in Children With Traumatic Brain Injury Admitted to the PICU.

The need to understand how Community-based disparities impact morbidity and mortality in pediatric critical illness, such as traumatic brain injury. Test the hypothesis that ZIP code-based disparities in hospital utilization, including length of stay (LOS) and hospital costs, exist in a cohort of children with traumatic brain injury (TBI) admitted to a PICU using the Child Opportunity Index (COI). DESIGN: Multicenter retrospective cohort study. SETTING: Pediatric Health Information System (PHIS) database. PATIENTS: Children 0-18 years old admitted to a PHIS hospital with a diagnosis of TBI from January 2016 to December 2020 requiring PICU care. To identify the most severely injured children, a study-specific definition of "Complicated TBI" was created based on radiology, pharmacy, and procedure codes. INTERVENTIONS: None. Main Outcomes and Measures: Using nationally normed ZIP code-level COI data, patients were categorized into COI quintiles. A low COI ZIP code has low childhood opportunity based on weighted indicators within educational, health and environmental, and social and economic domains. Population-averaged generalized estimating equation (GEE) models, adjusted for patient and clinical characteristics examined the association between COI and study outcomes, including hospital LOS and accrued hospital costs. The median age of this cohort of 8,055 children was 58 months (interquartile range [IQR], 8-145 mo). There were differences in patient demographics and rates of Complicated TBI between COI levels. The median hospital LOS was 3.0 days (IQR, 2.0-6.0 d) and in population-averaged GEE models, children living in very low COI ZIP codes were expected to have a hospital LOS 10.2% (95% CI, 4.1-16.8%; p = 0.0142) longer than children living in very high COI ZIP codes. For the 11% of children with a Complicated TBI, the relationship between COI and LOS was lost in multivariable models. COI level was not predictive of accrued hospital costs in this study. CONCLUSIONS: Children with TBI requiring PICU care living in low-opportunity ZIP codes have higher injury severity and longer hospital LOS compared with children living in higher-opportunity ZIP codes. Additional studies are needed to understand why these differences exist.

Measuring Social Health Following Pediatric Critical Illness: A Scoping Review and Conceptual Framework.

OBJECTIVE: Social health is an important component of recovery following critical illness as modeled in the pediatric Post-Intensive Care Syndrome framework. We conducted a scoping review of studies measuring social outcomes (measurable components of social health) following pediatric critical illness and propose a conceptual framework of the social outcomes measured in these studies. DATA SOURCES: PubMed, EMBASE, PsycINFO, CINAHL, and the Cochrane Registry. STUDY SELECTION: We identified studies evaluating social outcomes in pediatric intensive care unit (PICU) survivors or their families from 1970-2017 as part of a broader scoping review of outcomes after pediatric critical illness. DATA EXTRACTION: We identified articles by dual review and dual-extracted study characteristics, instruments, and instrument validation and administration information. For instruments used in studies evaluating a social outcome, we collected instrument content and described it using qualitative methods adapted to a scoping review. DATA SYNTHESIS: Of 407 articles identified in the scoping review, 223 (55%) evaluated a social outcome. The majority were conducted in North America and the United Kingdom, with wide variation in methodology and population. Among these studies, 38 unique instruments were used to evaluate a social outcome. Specific social outcomes measured included individual (independence, attachment, empathy, social behaviors, social cognition, and social interest), environmental (community perceptions and environment), and network (activities and relationships) characteristics, together with school and family outcomes. While many instruments assessed more than one social outcome, no instrument evaluated all areas of social outcome. CONCLUSIONS: The full range of social outcomes reported following pediatric critical illness were not captured by any single instrument. The lack of a comprehensive instrument focused on social outcomes may contribute to under-appreciation of the importance of social outcomes and their under-representation in PICU outcomes research. A more comprehensive evaluation of social outcomes will improve understanding of overall recovery following pediatric critical illness.

High flow nasal cannula in the pediatric intensive care unit.

INTRODUCTION: The use of high flow nasal cannula (HFNC) has become widely used in pediatric intensive care units (PICUs) throughout the world. The rapid adoption has outpaced the number of studies evaluating the safety and efficacy in a variety of pediatric diseases/conditions. AREAS COVERED: This scoping review begins with the definition and mechanisms of action of HFNC and then follows with a review of the literature focused on studies performed on critically ill children cared for in the PICU. The PubMed database was searched with a pediatric filter from the time period 2000 to 2021. EXPERT OPINION: The rapid adoption of HFNC in PICUs has largely been driven by changes in institutional practices and small observational studies. There is a lack of adequately powered studies evaluating patient-centered outcomes, such as intubation rates, mortality, PICU, and hospital length of stay. Given the wide variability in flow rates and clinical indications, more research is needed to better define effective flow rates for different disease states as well as markers of treatment success and failure. One particular entity that is poorly studied is the use of HFNC in those at risk for developing pediatric acute respiratory distress syndrome (PARDS).

Human Trafficking ICD-10 Code Utilization in Pediatric Tertiary Care Centers Within the United States.

BACKGROUND: Human trafficking is a global public health issue that affects pediatric patients widely. The International Labor Organization estimates children comprise approximately 25% of the identified trafficked persons globally, with domestic estimates including over 2000 children a year. Trafficked children experience a broad range of health consequences leading to interface with healthcare systems during their exploitation. In June 2018, International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) released diagnostic codes for human trafficking. OBJECTIVE: To use a large, multicenter database of US pediatric hospitalizations to describe the utilization of the ICD-10-CM codes related to child trafficking, as well as the demographic and clinical characteristics of these children. METHODS: This study was descriptive in nature. Encounters using data from the Pediatric Health Information System database (PHIS) with ICD-10-CM codes indicating trafficking from June 1, 2018 to March 1st, 2020 were included in the study cohort, with data collection continuing for 30 days after first hospital encounter, until March 31st, 2020. Patients 19 years old and younger were included. Condition-specific prevalence as well as demographic and clinical characteristics for patient encounters were analyzed. Study subjects were followed for 30 days after first hospital encounter to describe healthcare utilization patterns. RESULTS: During the study period, 0.005% (n = 293) of patient encounters in the PHIS database were identified as trafficked children. The children of our cohort were mostly female (90%), non-Hispanic Black (38%), and had public insurance (59%). Nearly two-thirds of patients (n = 190) had a documented mental health disorder at the initial encounter, with 32.1% classified as the principal diagnosis. Our cohort had a 30-day hospital inpatient, overnight observation, or emergency department readmission rate of 16% (n = 48). DISCUSSION: Our study demonstrates a low utilization of human trafficking ICD-10-CM codes in academic children's health centers, with code usage predominantly assigned to Non-Hispanic Black teenage girls. As comparison, in 2019 the National Human Trafficking Hotline identified 2,582 trafficked US children in a single year. These results suggest widespread under-recognition of child trafficking in health care settings, including the intensive care unit, in addition to racial and socioeconomic disparities amongst trafficked children.

Hospital Charges Associated With Critical Bronchiolitis From 2009 to 2019.

OBJECTIVES: To evaluate the contribution of PICU care to increasing hospital charges for patients with bronchiolitis over a 10-year study period. DESIGN: In this retrospective multicenter study, changes in annual hospital charges (adjusted for inflation) were analyzed using linear regression for subjects admitted to the PICU with invasive mechanical ventilation (PICU + IMV) and without IMV (PICU - IMV), and for children not requiring PICU care. SETTING: Free-standing children's hospitals contributing to the Pediatric Health Information System (PHIS) database. SUBJECTS: Children less than 2 years with bronchiolitis discharged from a PHIS hospital between July 2009 and June 2019. Subjects were categorized as high risk if they were born prematurely or had a chronic complex condition. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: PICU patients were 26.5% of the 283,006 included subjects but accrued 66% of the total $14.83 billion in charges. Annual charges increased from $1.01 billion in 2009-2010 to $2.07 billion in 2018-2019, and PICU patients accounted for 83% of this increase. PICU + IMV patients were 22% of all PICU patients and accrued 64% of all PICU charges, but PICU - IMV patients without a high-risk condition had the highest relative increase in annual charges, increasing from $76.7 million in 2009-2010 to $377.9 million in 2018-2019 (374% increase, ptrend < 0.001). CONCLUSIONS: In a multicenter cohort study of children hospitalized with bronchiolitis, PICU patients, especially low-risk children without the need for IMV, were the highest driver of increased hospital charges over a 10-year study period.

Derivation and Validation of the Critical Bronchiolitis Score for the PICU.

OBJECTIVES: To derive and internally validate a bronchiolitis-specific illness severity score (the Critical Bronchiolitis Score) that out-performs mortality-based illness severity scores (e.g., Pediatric Risk of Mortality) in measuring expected duration of respiratory support and PICU length of stay for critically ill children with bronchiolitis. DESIGN: Retrospective database study using the Virtual Pediatric Systems (VPS, LLC; Los Angeles, CA) database. SETTING: One-hundred twenty-eight North-American PICUs. PATIENTS: Fourteen-thousand four-hundred seven children less than 2 years old admitted to a contributing PICU with primary diagnosis of bronchiolitis and use of ICU-level respiratory support (defined as high-flow nasal cannula, noninvasive ventilation, invasive mechanical ventilation, or negative pressure ventilation) at 12 hours after PICU admission. INTERVENTIONS: Patient-level variables available at 12 hours from PICU admission, duration of ICU-level respiratory support, and PICU length of stay data were extracted for analysis. After randomly dividing the cohort into derivation and validation groups, patient-level variables that were significantly associated with the study outcomes were selected in a stepwise backward fashion for inclusion in the final score. Score performance in the validation cohort was assessed using root mean squared error and mean absolute error, and performance was compared with that of existing PICU illness severity scores. MEASUREMENTS AND MAIN RESULTS: Twelve commonly available patient-level variables were included in the Critical Bronchiolitis Score. Outcomes calculated with the score were similar to actual outcomes in the validation cohort. The Critical Bronchiolitis Score demonstrated a statistically significantly stronger association with duration of ICU-level respiratory support and PICU length of stay than mortality-based scores as measured by root mean squared error and mean absolute error. CONCLUSIONS: The Critical Bronchiolitis Score performed better than PICU mortality-based scores in measuring expected duration of ICU-level respiratory support and ICU length of stay. This score may have utility to enrich interventional trials and adjust for illness severity in observational studies in this very common PICU condition.

Long-Term Neurodevelopmental and Functional Outcomes of Normally Developing Children Requiring PICU Care for Bronchiolitis.

Bronchiolitis is a common pediatric intensive care unit (PICU) illness and often affects generally healthy children, making it a promising disease in which to study long-term neurodevelopmental outcomes. We previously found that approximately 15% of critical bronchiolitis patients have evidence of post-PICU morbidity using coarse definitions available in administrative data sets. In this study, we measured neurodevelopmental outcomes using four more precise tools. Children who had previously been admitted to our PICU with bronchiolitis were included; those with evidence of developmental delay at PICU admission were excluded. Approximately 1 to 2 years after PICU discharge, the parent of each subject completed two questionnaires (Ages and Stages Questionnaire and Pediatric Evaluation of Disability Inventory Computer Adaptive Test). Each subject also underwent two in-person assessments administered by a certified examiner (Bayley Scales of Infant and Toddler Development, 3rd edition, and the Amiel-Tison neurological assessment). For each domain of each test, a score of > 1 standard deviation below the norm for the subject's age defined "moderate" disability and a score ≥ 2 standard deviations below the norm defined "severe" disability. Eighteen subjects (median ages of 3.7 months at PICU admission and 2.3 years at testing) were enrolled, 17 of whom were supported by high-flow nasal cannula and/or mechanical ventilation. Fifteen children (83%) scored abnormally on ≥ 1test. Eight children (44%) had disabilities in ≥ 3 domains and/or ≥ 1 severe disability identified. Our findings that motor, language, and cognitive disabilities are commonly observed months to years after critical bronchiolitis require larger studies to confirm this finding, assess causality, and identify modifiable risk factors.

Social Factors Predictive of Intensive Care Utilization in Technology-Dependent Children, a Retrospective Multicenter Cohort Study.

Objective: Technology-dependent children with medical complexity (CMC) are frequently admitted to the pediatric intensive care unit (PICU). The social risk factors for high PICU utilization in these children are not well described. The objective of this study was to describe the relationship between race, ethnicity, insurance status, estimated household income, and PICU admission following the placement of a tracheostomy and/or gastrostomy (GT) in CMC. Study Design: This was a retrospective multicenter study of children <19 years requiring tracheostomy and/or GT placement discharged from a hospital contributing to the Pediatric Health Information System (PHIS) database between January 2016 and March 2019. Primary predictors included estimated household income, insurance status, and race/ethnicity. Additional predictor variables collected included patient age, sex, number of chronic complex conditions (CCC), history of prematurity, and discharge disposition following index hospitalization. The primary outcome was need for PICU readmission within 30 days of hospital discharge. Secondary outcomes included repeated PICU admissions and total hospital costs within 1 year of tracheostomy and/or GT placement. Results: Patients requiring a PICU readmission within 30 days of index hospitalization for tracheostomy or GT placement accounted for 6% of the 20,085 included subjects. In multivariate analyses, public insurance [OR 1.28 (95% C.I. 1.12-1.47), p < 0.001] was associated with PICU readmission within 30 days of hospital discharge while living below the federal poverty threshold (FPT) was associated with a lower odds of 30-day PICU readmission [OR 0.7 (95% C.I. 0.51-0.95), p = 0.0267]. Over 20% (n = 4,197) of children required multiple (>1) PICU admissions within one year from index hospitalization. In multivariate analysis, Black children [OR 1.20 (95% C.I. 1.10-1.32), p < 0.001] and those with public insurance [OR 1.34 (95% C.I. 1.24-1.46), p < 0.001] had higher odds of multiple PICU admissions. Social risk factors were not associated with total hospital costs accrued within 1 year of tracheostomy and/or GT placement. Conclusions: In a multicenter cohort study, Black children and those with public insurance had higher PICU utilization following tracheostomy and/or GT placement. Future research should target improving healthcare outcomes in these high-risk populations.

US children of minority race are less likely to be admitted to the pediatric intensive care unit after traumatic injury, a retrospective analysis of a single pediatric trauma center.

BACKGROUND: The public health impact of pediatric trauma makes identifying opportunities to equalize health related disparities imperative. The influence of a child's race on the likelihood of admission to the pediatric intensive care unit (PICU) is not well described. We hypothesized that traumatically injured children of minority race would have higher rates of PICU admission, compared to White children. METHODS: This was a retrospective review of a single institution's trauma registry including children ≤18 years of age presenting to the emergency department (ED) whose injury necessitated pediatric trauma team activation at a Level 1 Pediatric Trauma Center from July 1, 2011 through June 30, 2016. Demographics, injury characteristics and hospital utilization data were collected. Race was categorized as White or racial minority, which included patients identifying as Black, Hispanic ethnicity, Native American or "other." The primary outcome measure was admission to the PICU. Chi square or Mann Whitney rank sum tests were used, as appropriate, to compare differences in demographics and injury characteristics between those children who were and were not admitted to the PICU setting. Variables associated with PICU admission in univariate analyses were included in a multivariate analysis. Data are presented as median values and interquartile ranges, or numbers and percentages. RESULTS: The median age of the 654 included subjects was 8 [IQR 4-13] years; 55.2% were a racial minority. Nine (1.4%) children died in the ED and 576 (88.1%) were admitted to the hospital. Of the children requiring hospitalization, 195 (33.9%) were admitted to the PICU. Children admitted to the PICU were less likely to be from a racial minority group (26.1% vs 42.5%, p < 0.001). After adjusting for age and injury characteristics in a multivariable analysis, racial minority children had a lower odds of PICU admission compared to White children (OR 0.492 [95% C.I. 0.298-0.813, p = 0.006]). CONCLUSIONS: In this retrospective analysis of traumatically injured children, minority race was associated with lower odds of PICU admission, suggesting that health care disparities based on race persist in pediatric trauma-related care.

Use of Negative Pressure Ventilation in Pediatric Critical Care: Experience in 56 PICUs in the Virtual Pediatric Systems Database (2009-2019).

OBJECTIVES: Negative pressure ventilation may be more physiologic than positive pressure ventilation, but data describing negative pressure ventilation use in the PICU are limited. We aimed to describe the epidemiology and outcomes of PICU patients receiving negative pressure ventilation. DESIGN: Descriptive analysis of a large, quality-controlled multicenter database. SETTING: Fifty-six PICUs in the Virtual Pediatric Systems database who reported use of negative pressure ventilation. PATIENTS: Children admitted to a participating PICU between 2009 and 2019 who received negative pressure ventilation. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among 788 subjects, 71% were less than 2 years old, and 45% had underlying health conditions. Two concurrent aspiration events were the only adverse events reported. After excluding one over-represented center, the 3 years with the most negative pressure ventilation usage were 2017-2019 (all > 25 cases/yr and ≥ 13 centers reporting usage). Among those 187 children, the most common primary diagnoses were bronchiolitis and cardiac disease (both 15.5%), 24.1% required endotracheal intubation after negative pressure ventilation, and 9.1% died. CONCLUSIONS: Negative pressure ventilation is being used in many PICUs, most commonly for pulmonary infections or cardiac disease, in children with high rates of subsequent intubation and mortality and with few documented adverse events. Use at individual centers is rare but increasing, suggesting need for prospective collaboration to better evaluate the role of negative pressure ventilation in the PICU.

Resources and Costs Associated With Repeated Admissions to PICUs.

OBJECTIVE: To determine the costs and hospital resource use from all PICU patients readmitted with a PICU stay within 12 months of hospital index discharge. DESIGN: Cross-sectional, retrospective cohort study using Pediatric Health Information System. SETTING: Fifty-two tertiary children's hospitals. SUBJECTS: Pediatric patients under 18 years old admitted to the PICU from January 1, 2016, to December 31, 2017. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Patient characteristics and costs of care were compared between those with readmission requiring PICU care and those with only a single PICU admission per annum. In this 2-year cohort, there were 239,157 index PICU patients of which 36,970 (15.5%) were readmitted and required PICU care during the 12 months following index admission. The total hospital cost for all index admissions and readmissions was $17.3 billion, of which 21.5% ($3.71 billion) were incurred during a readmission stay involving care in the PICU; of the 3,459,079 hospital days, 20.3% (702,200) were readmission days including those where PICU care was required. Of the readmitted patients, 11,703 (30.0%) received only PICU care, accounting for $662 million in costs and 110,215 PICU days. Although 43.6% of all costs were associated with patients who required readmission, these patients only accounted for 15.5% of the index patients and 28% of index hospitalization expenditures. More patients in the readmitted group had chronic complex conditions at index discharge compared with those not readmitted (83.9% vs 54.9%; p < 0.001). Compared with those discharged directly to home without home healthcare, patients discharged to a skilled nursing facility had 18% lower odds of readmission (odds ratio 0.82 [95% CI, 0.75-0.89]; p < 0.001) and those discharged home with home healthcare had 43% higher odds of readmission (odds ratio, 1.43 [95% CI, 1.36-1.51]; p < 0.001). CONCLUSIONS: Repeated admissions with PICU care resulted in significant direct medical costs and resource use for U.S. children's hospitals.