Pediatric Acute Respiratory Distress Syndrome Severity and Health-Related Quality of Life Outcomes: Single-Center Retrospective Cohort, 2011-2017.

OBJECTIVES: To determine factors associated with health-related quality of life (HRQL) decline among pediatric acute respiratory distress syndrome (PARDS) survivors. DESIGN: Retrospective cohort study. SETTING: Academic children's hospital. PATIENTS: Three hundred fifteen children 1 month to 18 years old with an unplanned PICU admission from December 2011 to February 2017 enrolled in the hospital's Outcomes Assessment Program. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Pre-admission baseline and median 6-week post-discharge HRQL were assessed using the Pediatric Quality of Life Inventory or the Functional Status II-R. Patients meeting retrospectively applied Second Pediatric Acute Lung Injury Consensus Conference criteria for PARDS were identified, and PARDS severity was classified using binary (mild/moderate, severe) and trichotomous (mild, moderate, severe) categorization for noninvasive ventilation and invasive mechanical ventilation (IMV). PARDS occurred in 41 of 315 children (13.0%). Clinically important HRQL decline (≥ 4.5 points) occurred in 17 of 41 patients (41.5%) with PARDS and 64 of 274 without PARDS (23.4%). On multivariable generalized linear regression adjusted for age, baseline Pediatric Overall Performance Category, maximum nonrespiratory Pediatric Logistic Organ Dysfunction score, diagnosis, length of stay, and time to follow-up, PARDS was associated with HRQL decline (adjusted relative risk [aRR], 1.70; 95% CI, 1.03-2.77). Four-hour and maximum PARDS severity were the only factors associated with HRQL decline. HRQL decline occurred in five of 18 patients with mild PARDS at 4 hours, five of 13 with moderate PARDS (aRR 2.35 vs. no PARDS [95% CI, 1.01-5.50]), and seven of ten with severe PARDS (aRR 2.56 vs. no PARDS [95% CI, 1.45-4.53]). The area under the receiver operating characteristic curve for discrimination of HRQL decline for IMV patients was 0.79 (95% CI, 0.66-0.91) for binary and 0.80 (95% CI, 0.69-0.93) for trichotomous severity categorization. CONCLUSIONS: HRQL decline is common among children surviving PARDS, and risk of decline is associated with PARDS severity. HRQL decline from baseline may be an efficient and clinically meaningful endpoint to incorporate into PARDS clinical trials.

Social Determinants of Health and Health-Related Quality of Life following Pediatric Septic Shock: Secondary Analysis of the Life After Pediatric Sepsis Evaluation Dataset, 2014-2017.

OBJECTIVES: Social determinants of health (SDOH) are associated with disparities in disease severity and in-hospital outcomes among critically ill children. It is unknown whether SDOH are associated with later outcomes. We evaluated associations between SDOH measures and mortality, new functional morbidity, and health-related quality of life (HRQL) decline among children surviving septic shock. DESIGN: Secondary analysis of the Life After Pediatric Sepsis Evaluation (LAPSE) prospective cohort study was conducted between 2014 and 2017. SETTING: Twelve academic U.S. PICUs were involved in the study. PATIENTS: Children younger than 18 years with community-acquired septic shock were involved in the study. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We assessed associations between race, ethnicity, income, education, marital status, insurance, language, and home U.S. postal code with day 28 mortality, new functional morbidity at discharge per day 28, and HRQL decline using logistic regression. Of 389 patients, 32% (n = 98) of families had household income less than $50,000 per year. Median Pediatric Risk of Mortality (PRISM) score was 11 (interquartile range 6, 17). We found that English language and Area Deprivation Index less than 50th percentile were associated with higher PRISM scores. Mortality was 6.7% (n = 26), new functional morbidity occurred in 21.8% (n = 78) of patients, and HRQL decline by greater than 10% occurred in 31.0% of patients (n = 63). We failed to identify any association between SDOH measures and mortality, new functional morbidity, or HRQL decline. We are unable to exclude the possibility that annual household income greater than or equal to $50,000 was associated with up to 81% lesser odds of mortality and, in survivors, more than three-fold greater odds of HRQL decline by greater than 10%. CONCLUSIONS: In this secondary analysis of the 2014-2017 LAPSE dataset, we failed to identify any association between SDOH measures and in-hospital or postdischarge outcomes following pediatric septic shock. This finding may be reflective of the high illness severity and single disease (sepsis) of the cohort, with contribution of clinical factors to functional and HRQL outcomes predominating over prehospital and posthospital SDOH factors.

Predicting functional and quality-of-life outcomes following pediatric sepsis: performance of PRISM-III and PELOD-2.

BACKGROUND: Illness severity scores predict mortality following pediatric critical illness. Given declining PICU mortality, we assessed the ability of the Pediatric Risk of Mortality-III (PRISM) and Pediatric Logistic Organ Dysfunction-2 (PELOD) scores to predict morbidity outcomes. METHODS: Among 359 survivors <18 years in the Life After Pediatric Sepsis Evaluation multicenter prospective cohort study, we assessed functional morbidity at hospital discharge (Functional Status Scale increase ≥3 points from baseline) and health-related quality of life (HRQL; Pediatric Quality of Life Inventory or Functional Status II-R) deterioration >25% from baseline at 1, 3, 6, and 12 months post-admission. We determined discrimination of admission PRISM and admission, maximum, and cumulative 28-day PELOD with functional and HRQL morbidity at each timepoint. RESULTS: Cumulative PELOD provided the best discrimination of discharge functional morbidity (area under the receive operating characteristics curve [AUROC] 0.81, 95% CI 0.76-0.87) and 3-month HRQL deterioration (AUROC 0.71, 95% CI 0.61-0.81). Prediction was inferior for admission PRISM and PELOD and for 6- and 12-month HRQL assessments. CONCLUSIONS: Illness severity scores have a good prediction of early functional morbidity but a more limited ability to predict longer-term HRQL. Identification of factors beyond illness severity that contribute to HRQL outcomes may offer opportunities for intervention to improve outcomes. IMPACT: Illness severity scores are commonly used for mortality prediction and risk stratification in pediatric critical care research, quality improvement, and resource allocation algorithms. Prediction of morbidity rather than mortality may be beneficial given declining pediatric intensive care unit mortality. The PRISM and PELOD scores have moderate to good ability to predict new functional morbidity at hospital discharge following pediatric septic shock but limited ability to predict health-related quality of life outcomes in the year following PICU admission. Further research is needed to identify additional factors beyond illness severity that may impact post-discharge health-related quality of life.

Outcomes of Children Surviving Pediatric Acute Respiratory Distress Syndrome: From the Second Pediatric Acute Lung Injury Consensus Conference.

OBJECTIVES: To summarize the evidence for the Second Pediatric Acute Lung Injury Consensus Conference-2 (PALICC-2) recommendations for assessment of outcomes among patients surviving pediatric acute respiratory distress syndrome (PARDS). DATA SOURCES: MEDLINE (Ovid), Embase (Elsevier), and CINAHL Complete (EBSCOhost). STUDY SELECTION: We conducted a scoping review to identify studies evaluating outcomes following PARDS. We included studies of survivors of PARDS, acute respiratory failure with a high proportion of PARDS patients, or other critical illnesses if PARDS-specific outcomes could be extracted. DATA EXTRACTION: Title/abstract review, full-text review, and data extraction using a standardized data collection form. DATA SYNTHESIS: The Grading of Recommendations Assessment, Development and Evaluation approach was used to identify and summarize evidence and develop recommendations. Of 8,037 abstracts screened, we identified 20 articles for inclusion. Morbidity following PARDS was common and affected multiple domains of pulmonary and nonpulmonary function. There was insufficient evidence to generate any evidence-based recommendations. We generated eight good practice statements and five research statements. A panel of 52 experts discussed each proposed good practice statement and research statement, and the agreement rate was measured with an online voting process. Good practice statements describe the approach to clinical outcome assessment, assessment of pulmonary outcomes of children surviving PARDS, and assessment of nonpulmonary outcomes of children surviving PARDS including health-related quality of life and physical, neurocognitive, emotional, family, and social functioning. The five research statements relate to assessment of patient preillness status, use of postdischarge endpoints for clinical trials, the association between short-term and longer term outcomes, the trajectory of recovery following PARDS, and practices to optimize follow-up. CONCLUSIONS: There is increasing evidence that children are at risk for impairments across a range of pulmonary and nonpulmonary health domains following hospitalization for PARDS. The results of this extensive scoping review and consensus conference involving experts in PARDS research, clinical care, and outcomes assessment provide guidance to clinicians and researchers on postdischarge follow-up to optimize the long-term health of patients surviving PARDS.

Family Presence at the PICU Bedside: A Single-Center Retrospective Cohort Study.

OBJECTIVES: To determine factors associated with bedside family presence in the PICU and to understand how individual factors interact as barriers to family presence. DESIGN: Mixed methods study. SETTING: Tertiary children's hospital PICU. SUBJECTS: Five hundred twenty-three children of less than 18 years enrolled in the Seattle Children's Hospital Outcomes Assessment Program from 2011 to 2017. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Quantitative: Family was documented every 2 hours. Exposures included patient and illness characteristics and family demographic and socioeconomic characteristics. We used multivariable logistic regression to identify factors associated with presence of less than 80% and stratified results by self-reported race. Longer PICU length of stay (LOS), public insurance, and complex chronic conditions (C-CD) were associated with family presence of less than 80%. Self-reported race modified these associations; no factors were associated with lower bedside presence for White families, in contrast with multiple associations for non-White families including public insurance, C-CD, and longer LOS. Qualitative: Thematic analysis of social work notes for the 48 patients with family presence of less than 80% matched on age, LOS, and diagnosis to 48 patients with greater than or equal to 95% family presence. Three themes emerged: the primary caregiver's prior experiences with the hospital, relationships outside of the hospital, and additional stressors during the hospitalization affected bedside presence. CONCLUSIONS: We identified sociodemographic and illness factors associated with family bedside presence in the PICU. Self-reported race modified these associations, representing racism within healthcare. Family presence at the bedside may help identify families facing greater disparities in healthcare access.

Noninvasive Ventilation for Pediatric Acute Respiratory Distress Syndrome: Experience From the 2016/2017 Pediatric Acute Respiratory Distress Syndrome Incidence and Epidemiology Prospective Cohort Study.

OBJECTIVES: The worldwide practice and impact of noninvasive ventilation (NIV) in pediatric acute respiratory distress syndrome (PARDS) is unknown. We sought to describe NIV use and associated clinical outcomes in PARDS. DESIGN: Planned ancillary study to the 2016/2017 prospective Pediatric Acute Respiratory Distress Syndrome Incidence and Epidemiology study. SETTING: One hundred five international PICUs. PATIENTS: Patients with newly diagnosed PARDS admitted during 10 study weeks. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Children were categorized by their respiratory support at PARDS diagnosis into NIV or invasive mechanical ventilation (IMV) groups. Of 708 subjects with PARDS, 160 patients (23%) received NIV at PARDS diagnosis (NIV group). NIV failure rate (defined as tracheal intubation or death) was 84 of 160 patients (53%). Higher nonrespiratory pediatric logistic organ dysfunction (PELOD-2) score, Pa o2 /F io2 was less than 100 at PARDS diagnosis, immunosuppression, and male sex were independently associated with NIV failure. NIV failure was 100% among patients with nonrespiratory PELOD-2 score greater than 2, Pa o2 /F io2 less than 100, and immunosuppression all present. Among patients with Pa o2 /F io2 greater than 100, children in the NIV group had shorter total duration of NIV and IMV, than the IMV at initial diagnosis group. We failed to identify associations between NIV use and PICU survival in a multivariable Cox regression analysis (hazard ratio 1.04 [95% CI, 0.61-1.80]) or mortality in a propensity score matched analysis ( p = 0.369). CONCLUSIONS: Use of NIV at PARDS diagnosis was associated with shorter exposure to IMV in children with mild to moderate hypoxemia. Even though risk of NIV failure was high in some children, we failed to identify greater hazard of mortality in these patients.

Defining Pediatric Chronic Critical Illness: A Scoping Review.

OBJECTIVES: Children with chronic critical illness (CCI) are hypothesized to be a high-risk patient population with persistent multiple organ dysfunction and functional morbidities resulting in recurrent or prolonged critical care; however, it is unclear how CCI should be defined. The aim of this scoping review was to evaluate the existing literature for case definitions of pediatric CCI and case definitions of prolonged PICU admission and to explore the methodologies used to derive these definitions. DATA SOURCES: Four electronic databases (Ovid Medline, Embase, CINAHL, and Web of Science) from inception to March 3, 2021. STUDY SELECTION: We included studies that provided a specific case definition for CCI or prolonged PICU admission. Crowdsourcing was used to screen citations independently and in duplicate. A machine-learning algorithm was developed and validated using 6,284 citations assessed in duplicate by trained crowd reviewers. A hybrid of crowdsourcing and machine-learning methods was used to complete the remaining citation screening. DATA EXTRACTION: We extracted details of case definitions, study demographics, participant characteristics, and outcomes assessed. DATA SYNTHESIS: Sixty-seven studies were included. Twelve studies (18%) provided a definition for CCI that included concepts of PICU length of stay (n = 12), medical complexity or chronic conditions (n = 9), recurrent admissions (n = 9), technology dependence (n = 5), and uncertain prognosis (n = 1). Definitions were commonly referenced from another source (n = 6) or opinion-based (n = 5). The remaining 55 studies (82%) provided a definition for prolonged PICU admission, most frequently greater than or equal to 14 (n = 11) or greater than or equal to 28 days (n = 10). Most of these definitions were derived by investigator opinion (n = 24) or statistical method (n = 18). CONCLUSIONS: Pediatric CCI has been variably defined with regard to the concepts of patient complexity and chronicity of critical illness. A consensus definition is needed to advance this emerging and important area of pediatric critical care research.

Executive Summary of the Second International Guidelines for the Diagnosis and Management of Pediatric Acute Respiratory Distress Syndrome (PALICC-2).

OBJECTIVES: We sought to update our 2015 work in the Second Pediatric Acute Lung Injury Consensus Conference (PALICC-2) guidelines for the diagnosis and management of pediatric acute respiratory distress syndrome (PARDS), considering new evidence and topic areas that were not previously addressed. DESIGN: International consensus conference series involving 52 multidisciplinary international content experts in PARDS and four methodology experts from 15 countries, using consensus conference methodology, and implementation science. SETTING: Not applicable. PATIENTS: Patients with or at risk for PARDS. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Eleven subgroups conducted systematic or scoping reviews addressing 11 topic areas: 1) definition, incidence, and epidemiology; 2) pathobiology, severity, and risk stratification; 3) ventilatory support; 4) pulmonary-specific ancillary treatment; 5) nonpulmonary treatment; 6) monitoring; 7) noninvasive respiratory support; 8) extracorporeal support; 9) morbidity and long-term outcomes; 10) clinical informatics and data science; and 11) resource-limited settings. The search included MEDLINE, EMBASE, and CINAHL Complete (EBSCOhost) and was updated in March 2022. Grading of Recommendations, Assessment, Development, and Evaluation methodology was used to summarize evidence and develop the recommendations, which were discussed and voted on by all PALICC-2 experts. There were 146 recommendations and statements, including: 34 recommendations for clinical practice; 112 consensus-based statements with 18 on PARDS definition, 55 on good practice, seven on policy, and 32 on research. All recommendations and statements had agreement greater than 80%. CONCLUSIONS: PALICC-2 recommendations and consensus-based statements should facilitate the implementation and adherence to the best clinical practice in patients with PARDS. These results will also inform the development of future programs of research that are crucially needed to provide stronger evidence to guide the pediatric critical care teams managing these patients.

Components of Health-Related Quality of Life Most Affected Following Pediatric Critical Illness.

OBJECTIVES: To evaluate which individual elements of health-related quality of life contribute most to decline in overall health-related quality of life status following pediatric critical care. DESIGN: Retrospective cohort study. SETTING: Seattle Children's Hospital. PATIENTS: ICU patients age 1 month to 18 years admitted between December 2011 and February 2017. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We assessed health-relatedquality of life decline from baseline to postdischarge (median, 6 wk) and determined the individual items of the Pediatric Quality of Life Inventory Infant Scales (< 2 yr) and Generic Core Scales (2-18 yr) with the highest prevalence of decline. We used multivariable regression to estimate the risk of decline in each of seven thematic categories by patient age, baseline health status, diagnosis, Pediatric Risk of Mortality score, and ICU length of stay. Decline from baseline health-related quality of life occurred in 22.5% of 539 patients. Items most commonly affected for infants less than 2 years were primarily emotional (cranky/crying, sleep, and self-soothing). Children 2-18 years most commonly experienced declines in physical functioning (play/exercise, lifting, and pain). Across the entire cohort, declines in categories of energy (31.5%), activity (31.0%), sleep (28.0%), and fear (24.7%) were most commonly endorsed. Risk of decline in each category varied with patient age, medical complexity, and diagnosis. CONCLUSIONS: Deconditioning, sleep, fear, and pain are important targets for intervention to improve health-related quality of life outcomes for critically ill children.

A Clinician's Guide to Conducting Research on Causal Effects.

Surgeons are uniquely poised to conduct research to improve patient care, yet a gap often exists between the clinician's desire to guide patient care with causal evidence and having adequate training necessary to produce causal evidence. This guide aims to address this gap by providing clinically relevant examples to illustrate necessary assumptions required for clinical research to produce causal estimates.

Health-Related Quality of Life Following Delirium in the PICU.

OBJECTIVES: To evaluate whether delirium during pediatric critical illness is associated with post-discharge health-related quality of life. DESIGN: Retrospective cohort study. SETTING: Academic tertiary care center. PATIENTS: Children 1 month to 18 years old admitted to the PICU or cardiac ICU and enrolled in the Seattle Children's Hospital Outcomes Assessment Program. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Delirium was assessed twice daily using the Cornell Assessment of Pediatric Delirium; a score greater than or equal to 9 (with fluctuating level of arousal for children with developmental disability) indicated delirium. Baseline (pre-admission) and post-discharge health-related quality of life were assessed by the Pediatric Quality of Life Inventory (Mapi Research Trust, Lyon, France) or the Functional Status II-R (for children with developmental disability). Among 534 patients, delirium was common (44%), as was clinically important decline in health-related quality of life (≥ 4.5 points) from baseline to follow-up (22%), measured at median 6.6 weeks post-hospital discharge (interquartile range, 5.1-8.5). On univariate analysis, children with delirium had similar likelihood of health-related quality of life decline compared with those without (25.5% vs 19.7%; p = 0.1). Using multivariable logistic regression adjusting for age, medical complexity, predicted risk of mortality, admission diagnosis, receipt of noninvasive ventilation, hospital length of stay, time to follow-up, and parent age, delirium was independently associated with health-related quality of life decline among children assessed by the Pediatric Quality of Life Inventory (adjusted odds ratio, 2.0; 95% CI, 1.1-3.5). Among children evaluated with the Functional Status II-R, delirium was not independently associated with health-related quality of life decline (odds ratio, 1.4; 95% CI, 0.6-3.2). In both groups, longer time to follow-up was also independently associated with improvements in health-related quality of life. CONCLUSIONS: Delirium during the ICU stay is associated with decline in health-related quality of life from baseline to post-discharge follow-up among children assessed by the Pediatric Quality of Life Inventory, who were generally characterized by normal baseline cognitive function and less medical comorbidity. This association was not present among children assessed by the Functional Status II-R, potentially due to their higher overall risk of health-related quality of life decline, or other clinical differences that modify the effects of delirium in this group.

A Core Outcome Measurement Set for Pediatric Critical Care.

OBJECTIVES: To identify a PICU Core Outcome Measurement Set (PICU COMS), a set of measures that can be used to evaluate the PICU Core Outcome Set (PICU COS) domains in PICU patients and their families. DESIGN: A modified Delphi consensus process. SETTING: Four webinars attended by PICU physicians and nurses, pediatric surgeons, rehabilitation physicians, and scientists with expertise in PICU clinical care or research ( n = 35). Attendees were from eight countries and convened from the Pediatric Acute Lung Injury and Sepsis Investigators Pediatric Outcomes STudies after PICU Investigators and the Eunice Kennedy Shriver National Institute of Child Health and Human Development Collaborative Pediatric Critical Care Research Network PICU COS Investigators. SUBJECTS: Measures to assess outcome domains of the PICU COS are as follows: cognitive, emotional, overall (including health-related quality of life), physical, and family health. Measures evaluating social health were also considered. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Measures were classified as general or additional based on generalizability across PICU populations, feasibility, and relevance to specific COS domains. Measures with high consensus, defined as 80% agreement for inclusion, were selected for the PICU COMS. Among 140 candidate measures, 24 were delineated as general (broadly applicable) and, of these, 10 achieved consensus for inclusion in the COMS (7 patient-oriented and 3 family-oriented). Six of the seven patient measures were applicable to the broadest range of patients, diagnoses, and developmental abilities. All were validated in pediatric populations and have normative pediatric data. Twenty additional measures focusing on specific populations or in-depth evaluation of a COS subdomain also met consensus for inclusion as COMS additional measures. CONCLUSIONS: The PICU COMS delineates measures to evaluate domains in the PICU COS and facilitates comparability across future research studies to characterize PICU survivorship and enable interventional studies to target long-term outcomes after critical illness.

The association of severe pain experienced in the pediatric intensive care unit and postdischarge health-related quality of life: A retrospective cohort study.

BACKGROUND: Pain may be a modifiable risk factor for lower health-related quality of life after pediatric critical illness. AIM: To evaluate the association between severe pain experienced in the (pediatrc intensive care unit) and postdischarge health-related quality of life. METHODS: This was a retrospective cohort study. Children aged 1 month to 18 years admitted to the pediatric intensive care unit and enrolled in the Seattle Children's Hospital Outcomes Assessment Program were included. Pain was assessed every 2 h by bedside nursing staff using a behavioral pain scale or numeric pain scale. A day of severe pain was defined as a pediatric intensive care unit day with ≥25% of pain scores ≥7/10. Baseline (preadmission) and postdischarge (median 6 weeks) health-related quality of life was assessed by the Pediatric Quality of Life Inventory (PedsQL™) or the Stein Jessop Functional Status II-R (FS II-R, for children with developmental disability). The cohort was stratified by diagnosis category (surgical vs. medical), and associations were measured using linear regression models. RESULTS: Among 546 patients, 11.9% experienced ≥1 day of severe pain. In multivariable linear regression, each day of severe pain was independently associated with a lower postdischarge health-related quality of life score by 3.6 points (95% CI -6.3 to -0.9) adjusted for baseline health-related quality of life score, age, baseline cognitive function, days with multi-organ dysfunction, pediatric intensive care unit length of stay, and decline in overall function. This association was stronger among surgical patients than medical patients with each day of severe pain resulting in a lower postdischarge health-related quality of life score by 5.3 points (95% CI -9.6 to -0.9) versus 2.6 points (95% CI -5.8 to 0.6). Surgical patients had lower postdischarge emotional functioning than physical functioning subdomain scores. CONCLUSIONS: Children who experience severe pain in the pediatric intensive care unit have lower postdischarge health-related quality of life adjusting for baseline health-related quality of life, particularly among children who have undergone surgery. Attention to pain management may be important to improve postdischarge health-related quality of life.

Association of Psychosocial Factors and Hospital Complications with Risk for Readmission After Trauma.

BACKGROUND: Unplanned hospital readmissions are associated with morbidity and high cost. Existing literature on readmission after trauma has focused on how injury characteristics are associated with readmission. We aimed to evaluate how psychosocial determinants of health and complications of hospitalization combined with injury characteristics affect risk of readmission after trauma. MATERIALS AND METHODS: We conducted a retrospective cohort study of adult trauma admissions from July 2015 to September 2017 to Harborview Medical Center in Seattle, Washington. We assessed patient, injury, and hospitalization characteristics and estimated associations between risk factors and unplanned 30-d readmission using multivariable generalized linear Poisson regression models. RESULTS: Of 8916 discharged trauma patients, 330 (3.7%) had an unplanned 30-d readmission. Patients were most commonly readmitted with infection (41.5%). Independent risk factors for readmission among postoperative patients included public insurance (adjusted Relative Risk (aRR) 1.34, 95% CI 1.02-1.76), mental illness (aRR 1.39, 1.04-1.85), and chronic renal failure (aRR 2.17, 1.39-3.39); undergoing abdominal, thoracic, or neurosurgical procedures; experiencing an index hospitalization surgical site infection (aRR 4.74, 3.00-7.50), pulmonary embolism (aRR 3.38, 2.04-5.60), or unplanned ICU readmission (aRR 1.74, 1.16-2.62); shorter hospital stay (aRR 0.98/d, 0.97-0.99), and discharge to jail (aRR 4.68, 2.63-8.35) or a shelter (aRR 4.32, 2.58-7.21). Risk factors varied by reason for readmission. Injury severity, trauma mechanism, and body region were not independently associated with readmission risk. CONCLUSIONS: Psychosocial factors and hospital complications were more strongly associated with readmission after trauma than injury characteristics. Improved social support and follow-up after discharge for high-risk patients may facilitate earlier identification of postdischarge complications.

Health-related quality of life outcome measures for children surviving critical care: a scoping review.

PURPOSE: Health-related quality of life (HRQL) has been identified as one of the core outcomes most important to assess following pediatric critical care, yet there are no data on the use of HRQL in pediatric critical care research. We aimed to determine the HRQL instruments most commonly used to assess children surviving critical care and describe study methodology, patient populations, and instrument characteristics to identify areas of deficiency and guide investigators conducting HRQL research. METHODS: We queried PubMed, EMBASE, PsycINFO, Cumulative Index of Nursing and Allied Health Literature, and the Cochrane Registry for studies evaluating pediatric critical care survivors published 1970-2017. We used dual review for article selection and data extraction. RESULTS: Of 60,349 citations, 66 articles met inclusion criteria. The majority of studies were observational (89.4%) and assessed HRQL at one post-discharge time-point (86.4%), and only 10.6% of studies included a baseline assessment. Time to the first follow-up assessment ranged from 1 month to 10 years post-hospitalization (median 3 years, IQR 0.5-6). For 26 prospective studies, the median follow-up time was 0.5 years [IQR 0.25-1]. Parent/guardian proxy-reporting was used in 83.3% of studies. Fifteen HRQL instruments were employed, with four used in >5% of articles: the Health Utility Index (n = 22 articles), the Pediatric Quality of Life Inventory (n = 17), the Child Health Questionnaire (n = 16), and the 36-Item Short Form Survey (n = 9). CONCLUSION: HRQL assessment in pediatric critical care research has been centered around four instruments, though existing literature is limited by minimal longitudinal follow-up and infrequent assessment of baseline HRQL.

Optimal Timing of Tracheostomy in Injured Adolescents.

OBJECTIVES: To evaluate the optimal timing of tracheostomy for injured adolescents. DESIGN: Retrospective cohort study. SETTING: Trauma facilities in the United States. PATIENTS: Adolescents (age 12-17 yr) in the National Trauma Data Bank (2007-2016) who were ventilated for greater than 24 hours and survived to discharge. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: After stratifying by traumatic brain injury diagnosis, we compared ICU and hospital length of stay, pneumonia, and discharge disposition of patients with tracheostomy prior to three cut points (3, 7, and 14 d after admission) to 1) patients intubated at least as long as each cut point and 2) patients with tracheostomy on or after each cut point. Of 11,045 patients, 1,391 (12.6%) underwent tracheostomy. Median time to tracheostomy was 9 days (interquartile range, 6-13 d) for traumatic brain injury and 7 days (interquartile range, 3-12 d) for nontraumatic brain injury patients. Nontraumatic brain injury patients with tracheostomy prior to 7 days had 5.6 fewer ICU days (-7.8 to -3.5 d) and 5.7 fewer hospital days (-8.8 to -2.7 d) than patients intubated greater than or equal to 7 days and had 14.8 fewer ICU days (-19.6 to -10.0 d) and 15.3 fewer hospital days (-21.7 to -8.9 d) than patients with tracheostomy greater than or equal to 7 days. Similar differences were observed at 14 days but not at 3 days for both traumatic brain injury and nontraumatic brain injury patients. At the 3- and 7-day cut points, both traumatic brain injury and nontraumatic brain injury patients with tracheostomy prior to the cut point had lower risk of pneumonia and risk of discharge to a facility than those with tracheostomy after the cut point. CONCLUSIONS: For injured adolescents, tracheostomy less than 7 days after admission was associated with improved in-hospital outcomes compared with those who remained intubated greater than or equal to 7 days and with those with tracheostomy greater than or equal to 7 days. Tracheostomy between 3 and 7 days may be the optimal time point when prolonged need for mechanical ventilation is anticipated; however, unmeasured consequences of tracheostomy such as long-term complications and care needs must also be considered.

Mean Arterial Pressure and Discharge Outcomes in Severe Pediatric Traumatic Brain Injury.

BACKGROUND AND OBJECTIVE: Optimizing blood pressure is an important target for intervention following pediatric traumatic brain injury (TBI). The existing literature has examined the association between systolic blood pressure (SBP) and outcomes. Mean arterial pressure (MAP) is a better measure of organ perfusion than SBP and is used to determine cerebral perfusion pressure but has not been previously examined in relation to outcomes after pediatric TBI. We aimed to evaluate the strength of association between MAP-based hypotension early after hospital admission and discharge outcome and to contrast the relative strength of association of hypotension with outcome between MAP-based and SBP-based blood pressure percentiles. METHODS: We examined the association between lowest age-specific MAP percentile within 12 h after pediatric intensive care unit admission and poor discharge outcome (in-hospital death or transfer to a skilled nursing facility) in children with severe (Glasgow Coma Scale score < 9) TBI who survived at least 12 h. Poisson regression results were adjusted for maximum head Abbreviated Injury Scale (AIS) severity score, maximum nonhead AIS, and vasoactive medication use. We also examined the ability of lowest MAP percentile during the first 12 h to predict discharge outcomes using receiver operating curve characteristic analysis without adjustment for covariates. We contrasted the predictive ability and the relative strength of association of blood pressure with outcome between MAP and SBP percentiles. RESULTS: Data from 166 children aged < 18 years were examined, of whom 20.4% had a poor discharge outcome. Poor discharge outcome was most common among patients with lowest MAP < 5th percentile (42.9%; aRR 5.3 vs. 50-94th percentile, 95% CI 1.2, 23.0) and MAP 5-9th percentile (40%; aRR 8.5, 95% CI 1.9, 38.7). Without adjustment for injury severity or vasoactive medication use, lowest MAP percentile was moderately predictive of poor discharge outcome (AUC: 0.75, 95% CI 0.66, 0.85). In contrast, lowest SBP was associated with poor discharge outcome only for the < 5th percentile (50%; aRR 5.4, 95% CI 1.3, 22.2). Lowest SBP percentile was moderately predictive of poor discharge outcome (AUC: 0.82, 95% CI 0.74, 0.91). CONCLUSIONS: In children with severe TBI, a single MAP < 10th percentile during the first 12 h after Pediatric Intensive Care Unit admission was associated with poor discharge outcome. Lowest MAP percentile during the first 12 h was moderately predictive of poor discharge outcome. Lowest MAP percentile was more strongly associated with outcome than lowest SBP percentile but had slightly lower predictive ability than SBP.

Acute Respiratory Distress Syndrome Following Pediatric Trauma: Application of Pediatric Acute Lung Injury Consensus Conference Criteria.

OBJECTIVES: To assess the incidence, severity, and outcomes of pediatric acute respiratory distress syndrome following trauma using Pediatric Acute Lung Injury Consensus Conference criteria. DESIGN: Retrospective cohort study. SETTING: Level 1 pediatric trauma center. PATIENTS: Trauma patients less than or equal to 17 years admitted to the ICU from 2009 to 2017. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We queried electronic health records to identify patients meeting pediatric acute respiratory distress syndrome oxygenation criteria for greater than or equal to 6 hours and determined whether patients met complete pediatric acute respiratory distress syndrome criteria via chart review. We estimated associations between pediatric acute respiratory distress syndrome and outcome using generalized linear Poisson regression adjusted for age, injury mechanism, Injury Severity Score, and serious brain and chest injuries. Of 2,470 critically injured children, 103 (4.2%) met pediatric acute respiratory distress syndrome criteria. Mortality was 34.0% among pediatric acute respiratory distress syndrome patients versus 1.7% among patients without pediatric acute respiratory distress syndrome (adjusted relative risk, 3.7; 95% CI, 2.0-6.9). Mortality was 50.0% for severe pediatric acute respiratory distress syndrome at onset, 33.3% for moderate, and 30.5% for mild. Cause of death was neurologic in 60.0% and multiple organ failure in 34.3% of pediatric acute respiratory distress syndrome nonsurvivors versus neurologic in 85.4% of nonsurvivors without pediatric acute respiratory distress syndrome (p = 0.001). Among survivors, 77.1% of pediatric acute respiratory distress syndrome patients had functional disability at discharge versus 30.7% of patients without pediatric acute respiratory distress syndrome patients (p < 0.001), and only 17.5% of pediatric acute respiratory distress syndrome patients discharged home without ongoing care versus 86.4% of patients without pediatric acute respiratory distress syndrome (adjusted relative risk, 1.5; 1.1-2.1). CONCLUSIONS: Incidence and mortality associated with pediatric acute respiratory distress syndrome following traumatic injury are substantially higher than previously recognized, and pediatric acute respiratory distress syndrome development is associated with high risk of poor outcome even after adjustment for underlying injury type and severity.

Postdischarge Outcome Domains in Pediatric Critical Care and the Instruments Used to Evaluate Them: A Scoping Review.

OBJECTIVES: Assessing outcomes after pediatric critical illness is imperative to evaluate practice and improve recovery of patients and their families. We conducted a scoping review of the literature to identify domains and instruments previously used to evaluate these outcomes. DESIGN: Scoping review. SETTING: We queried PubMed, EMBASE, PsycINFO, Cumulative Index of Nursing and Allied Health Literature, and the Cochrane Central Register of Controlled Trials Registry for studies evaluating pediatric critical care survivors or their families published between 1970 and 2017. We identified articles using key words related to pediatric critical illness and outcome domains. We excluded articles if the majority of patients were greater than 18 years old or less than 1 month old, mortality was the sole outcome, or only instrument psychometrics or procedural outcomes were reported. We used dual review for article selection and data extraction and categorized outcomes by domain (overall health, emotional, physical, cognitive, health-related quality of life, social, family). SUBJECTS: Manuscripts evaluating outcomes after pediatric critical illness. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Of 60,349 citations, 407 articles met inclusion criteria; 87% were published after 2000. Study designs included observational (85%), interventional (7%), qualitative (5%), and mixed methods (3%). Populations most frequently evaluated were traumatic brain injury (n = 96), general pediatric critical illness (n = 87), and congenital heart disease (n = 72). Family members were evaluated in 74 studies (18%). Studies used a median of 2 instruments (interquartile range 1-4 instruments) and evaluated a median of 2 domains (interquartile range 2-3 domains). Social (n = 223), cognitive (n = 183), and overall health (n = 161) domains were most frequently studied. Across studies, 366 unique instruments were used, most frequently the Wechsler and Glasgow Outcome Scales. Individual domains were evaluated using a median of 77 instruments (interquartile range 39-87 instruments). CONCLUSIONS: A comprehensive, generalizable understanding of outcomes after pediatric critical illness is limited by heterogeneity in methodology, populations, domains, and instruments. Developing assessment standards may improve understanding of postdischarge outcomes and support development of interventions after pediatric critical illness.

Prediction of Pediatric Critical Care Resource Utilization for Disaster Triage.

OBJECTIVES: Pediatric protocols to guide allocation of limited resources during a disaster lack data to validate their use. The 2011 Pediatric Emergency Mass Critical Care Task Force recommended that expected duration of critical care be incorporated into resource allocation algorithms. We aimed to determine whether currently available pediatric illness severity scores can predict duration of critical care resource use. DESIGN: Retrospective cohort study. SETTING: Seattle Children's Hospital. PATIENTS: PICU patients admitted 2016-2018 for greater than or equal to 12 hours (n = 3,206). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We developed logistic and linear regression models in two-thirds of the cohort to predict need for and duration of PICU resources based on Pediatric Risk of Mortality-III, Pediatric Index of Mortality-3, and serial Pediatric Logistic Organ Dysfunction-2 scores. We tested the predictive accuracy of the models with the highest area under the receiver operating characteristic curve (need for each resource) and R (duration of use) in a validation cohort of the remaining one of three of the sample and among patients admitted during one-third of the sample and among patients admitted during surges of respiratory illness. Pediatric Logistic Organ Dysfunction score calculated 12 hours postadmission had higher predictive accuracy than either Pediatric Risk of Mortality or Pediatric Index of Mortality scores. Models incorporating 12-hour Pediatric Logistic Organ Dysfunction score, age, Pediatric Overall Performance Category, Pediatric Cerebral Performance Category, chronic mechanical ventilation, and postoperative status had an area under the receiver operating characteristic curve = 0.8831 for need for any PICU resource (positive predictive value 80.2%, negative predictive value 85.9%) and area under the receiver operating characteristic curve = 0.9157 for mechanical ventilation (positive predictive value 85.7%, negative predictive value 89.2%) within 7 days of admission. Models accurately predicted greater than or equal to 24 hours of any resource use for 78.9% of patients and greater than or equal to 24 hours of ventilation for 83.1%. Model fit and accuracy improved for prediction of resource use within 3 days of admission, and was lower for noninvasive positive pressure ventilation, vasoactive infusions, continuous renal replacement therapy, extracorporeal membrane oxygenation, and length of stay. CONCLUSIONS: A model incorporating 12-hour Pediatric Logistic Organ Dysfunction score performed well in estimating how long patients may require PICU resources, especially mechanical ventilation. A pediatric disaster triage algorithm that includes both likelihood for survival and for requiring critical care resources could minimize subjectivity in resource allocation decision-making.