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.

The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research

OBJECTIVE

Perform a scoping review of supervised machine learning in pediatric critical care to identify published applications, methodologies, and implementation frequency to inform best practices for the development, validation, and reporting of predictive models in pediatric critical care.

DESIGN

Scoping review and expert opinion.

SETTING

We queried CINAHL Plus with Full Text (EBSCO), Cochrane Library (Wiley), Embase (Elsevier), Ovid Medline, and PubMed for articles published between 2000 and 2022 related to machine learning concepts and pediatric critical illness. Articles were excluded if the majority of patients were adults or neonates, if unsupervised machine learning was the primary methodology, or if information related to the development, validation, and/or implementation of the model was not reported. Article selection and data extraction were performed using dual review in the Covidence tool, with discrepancies resolved by consensus.

SUBJECTS

Articles reporting on the development, validation, or implementation of supervised machine learning models in the field of pediatric critical care medicine.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 5075 identified studies, 141 articles were included. Studies were primarily (57%) performed at a single site. The majority took place in the United States (70%). Most were retrospective observational cohort studies. More than three-quarters of the articles were published between 2018 and 2022. The most common algorithms included logistic regression and random forest. Predicted events were most commonly death, transfer to ICU, and sepsis. Only 14% of articles reported external validation, and only a single model was implemented at publication. Reporting of validation methods, performance assessments, and implementation varied widely. Follow-up with authors suggests that implementation remains uncommon after model publication.

CONCLUSIONS

Publication of supervised machine learning models to address clinical challenges in pediatric critical care medicine has increased dramatically in the last 5 years. While these approaches have the potential to benefit children with critical illness, the literature demonstrates incomplete reporting, absence of external validation, and infrequent clinical implementation.

Ventilator Weaning and Terminal Extubation: Withdrawal of Life-Sustaining Therapy in Children. Secondary Analysis of the Death One Hour After Terminal Extubation Study

OBJECTIVE

Terminal extubation (TE) and terminal weaning (TW) during withdrawal of life-sustaining therapies (WLSTs) have been described and defined in adults. The recent Death One Hour After Terminal Extubation study aimed to validate a model developed to predict whether a child would die within 1 hour after discontinuation of mechanical ventilation for WLST. Although TW has not been described in children, pre-extubation weaning has been known to occur before WLST, though to what extent is unknown. In this preplanned secondary analysis, we aim to describe/define TE and pre-extubation weaning (PW) in children and compare characteristics of patients who had ventilatory support decreased before WLST with those who did not.

DESIGN

Secondary analysis of multicenter retrospective cohort study.

SETTING

Ten PICUs in the United States between 2009 and 2021.

PATIENTS

Nine hundred thirteen patients 0-21 years old who died after WLST.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

71.4% ( n = 652) had TE without decrease in ventilatory support in the 6 hours prior. TE without decrease in ventilatory support in the 6 hours prior = 71.4% ( n = 652) of our sample. Clinically relevant decrease in ventilatory support before WLST = 11% ( n = 100), and 17.6% ( n = 161) had likely incidental decrease in ventilatory support before WLST. Relevant ventilator parameters decreased were F io2 and/or ventilator set rates. There were no significant differences in any of the other evaluated patient characteristics between groups (weight, body mass index, unit type, primary diagnostic category, presence of coma, time to death after WLST, analgosedative requirements, postextubation respiratory support modality).

CONCLUSIONS

Decreasing ventilatory support before WLST with extubation in children does occur. This practice was not associated with significant differences in palliative analgosedation doses or time to death after extubation.

Analgesia and Sedation at Terminal Extubation: A Secondary Analysis From Death One Hour After Terminal Extubation Study Data

OBJECTIVES

To describe the doses of opioids and benzodiazepines administered around the time of terminal extubation (TE) to children who died within 1 hour of TE and to identify their association with the time to death (TTD).

DESIGN

Secondary analysis of data collected for the Death One Hour After Terminal Extubation study.

SETTING

Nine U.S. hospitals.

PATIENTS

Six hundred eighty patients between 0 and 21 years who died within 1 hour after TE (2010-2021).

MEASUREMENTS AND MAIN RESULTS

Medications included total doses of opioids and benzodiazepines 24 hours before and 1 hour after TE. Correlations between drug doses and TTD in minutes were calculated, and multivariable linear regression performed to determine their association with TTD after adjusting for age, sex, last recorded oxygen saturation/F io2 ratio and Glasgow Coma Scale score, inotrope requirement in the last 24 hours, and use of muscle relaxants within 1 hour of TE. Median age of the study population was 2.1 years (interquartile range [IQR], 0.4-11.0 yr). The median TTD was 15 minutes (IQR, 8-23 min). Forty percent patients (278/680) received either opioids or benzodiazepines within 1 hour after TE, with the largest proportion receiving opioids only (23%, 159/680). Among patients who received medications, the median IV morphine equivalent within 1 hour after TE was 0.75 mg/kg/hr (IQR, 0.3-1.8 mg/kg/hr) ( n = 263), and median lorazepam equivalent was 0.22 mg/kg/hr (IQR, 0.11-0.44 mg/kg/hr) ( n = 118). The median morphine equivalent and lorazepam equivalent rates after TE were 7.5-fold and 22-fold greater than the median pre-extubation rates, respectively. No significant direct correlation was observed between either opioid or benzodiazepine doses before or after TE and TTD. After adjusting for confounding variables, regression analysis also failed to show any association between drug dose and TTD.

CONCLUSIONS

Children after TE are often prescribed opioids and benzodiazepines. For patients dying within 1 hour of TE, TTD is not associated with the dose of medication administered as part of comfort care.

Mechanisms to expedite pediatric clinical trial site activation: The DOSE trial experience

BACKGROUND

Timely trial start-up is a key determinant of trial success; however, delays during start-up are common and costly. Moreover, data on start-up metrics in pediatric clinical trials are sparse. To expedite trial start-up, the Trial Innovation Network piloted three novel mechanisms in the trial titled Dexmedetomidine Opioid Sparing Effect in Mechanically Ventilated Children (DOSE), a multi-site, randomized, double-blind, placebo-controlled trial in the pediatric intensive care setting.

METHODS

The three novel start-up mechanisms included: 1) competitive activation; 2) use of trial start-up experts, called site navigators; and 3) supplemental funds earned for achieving pre-determined milestones. After sites were activated, they received a web-based survey to report perceptions of the DOSE start-up process. In addition to perceptions, metrics analyzed included milestones met, time to start-up, and subsequent enrollment of subjects.

RESULTS

Twenty sites were selected for participation, with 19 sites being fully activated. Across activated sites, the median (quartile 1, quartile 3) time from receipt of regulatory documents to site activation was 82 days (68, 113). Sites reported that of the three novel mechanisms, the most motivating factor for expeditious activation was additional funding available for achieving start-up milestones, followed by site navigator assistance and then competitive site activation.

CONCLUSION

Study start-up is a critical time for the success of clinical trials, and innovative methods to minimize delays during start-up are needed. Milestone-based funds and site navigators were preferred mechanisms by sites participating in the DOSE study and may have contributed to the expeditious start-up timeline achieved.

CLINICALTRIALS

gov #: NCT03938857.

Nonadherence to appropriate tidal volume and PEEP in children with pARDS at a single center

BACKGROUND

Low tidal volume and adequate positive end-expiratory pressure (PEEP) are evidence-based approaches for pediatric acute respiratory distress syndrome (pARDS), however, data are limited regarding their use since pARDS guidelines were revised in 2015.

OBJECTIVE

To identify prevalence of, and factors associated with, nonadherence to appropriate tidal volume and PEEP in children with pARDS.

METHODS

Retrospective cohort study of children 1 month to <18 years with pARDS who received invasive mechanical ventilation from 2016 to 2018 in a single pediatric intensive care unit (PICU).

RESULTS

At 24 h after meeting pARDS criteria, 48/86 (56%) patients received tidal volume ≤8 ml/kg of ideal body weight and 45/86 (52%) received appropriate PEEP, with 22/86 (26%) receiving both. Among patients ≥2 years of age, a lower proportion of patients with overweight/obesity (9/25, 36%) had appropriate tidal volume versus those in the normal or underweight category (16/22, 73%, p = 0.02). When FIO2 was ≥50%, PEEP was appropriate in 19/60 (32%) cases versus 26/26 (100%) with FIO2  < 50% (p < 0.0001). pARDS was documented in the progress note in 7/86 (8%) patients at 24 h. Severity of pARDS, documentation in the progress note, and other clinical factors were not significantly associated with use of appropriate tidal volume and PEEP, however pARDS was documented more commonly in patients with severe pARDS.

CONCLUSIONS

In a single PICU in the United States, children with pARDS did not receive appropriate tidal volume for ideal body weight nor PEEP. Targets for improving tidal volume and PEEP adherence may include overweight patients and those receiving FIO2  ≥ 50%, respectively.

Associations Between Weight and Lower Respiratory Tract Disease Outcomes in Hospitalized Children

OBJECTIVE

To identify associations between weight status and clinical outcomes in children with lower respiratory tract infection (LRTI) or asthma requiring hospitalization.

METHODS

We performed a retrospective cohort study of 2 to 17 year old children hospitalized for LRTI and/or asthma from 2009 to 2019 using electronic health record data from the PEDSnet clinical research network. Children <2 years, those with medical complexity, and those without a calculable BMI were excluded. Children were classified as having underweight, normal weight, overweight, or class 1, 2, or 3 obesity based on Body Mass Index percentile for age and sex. Primary outcomes were need for positive pressure respiratory support and ICU admission. Subgroup analyses were performed for children with a primary diagnosis of asthma. Outcomes were modeled with mixed-effects multivariable logistic regression incorporating age, sex, and payer as fixed effects.

RESULTS

We identified 65 132 hospitalizations; 6.7% with underweight, 57.8% normal weight, 14.6% overweight, 13.2% class 1 obesity, 5.0% class 2 obesity, and 2.8% class 3 obesity. Overweight and obesity were associated with positive pressure respiratory support (class 3 obesity versus normal weight odds ratio [OR] 1.62 [1.38-1.89]) and ICU admission (class 3 obesity versus normal weight OR 1.26 [1.12-1.42]), with significant associations for all categories of overweight and obesity. Underweight was also associated with positive pressure respiratory support (OR 1.39 [1.24-1.56]) and ICU admission (1.40 [1.30-1.52]).

CONCLUSIONS

Both underweight and overweight or obesity are associated with increased severity of LRTI or asthma in hospitalized children.

Weight Status and Risk of Inpatient Admission for Children With Lower Respiratory Tract Disease

OBJECTIVES

To identify associations between weight category and hospital admission for lower respiratory tract disease (LRTD), defined as asthma, community-acquired pneumonia, viral pneumonia, or bronchiolitis, among children evaluated in pediatric emergency departments (PEDs).

METHODS

We performed a retrospective cohort study of children 2 to <18 years of age evaluated in the PED at 6 children's hospitals within the PEDSnet clinical research network from 2009 to 2019. BMI percentile of children was classified as underweight, healthy weight, overweight, and class 1, 2, or 3 obesity. Children with complex chronic conditions were excluded. Mixed-effects multivariable logistic regression was used to assess associations between BMI categories and hospitalization or 7- and 30-day PED revisits, adjusted for covariates (age, sex, race and ethnicity, and payer).

RESULTS

Among 107 446 children with 218 180 PED evaluations for LRTD, 4.5% had underweight, 56.4% had healthy normal weight, 16.1% had overweight, 14.6% had class 1 obesity, 5.5% had class 2 obesity, and 3.0% had class 3 obesity. Underweight was associated with increased risk of hospital admission compared with normal weight (odds ratio [OR] 1.76; 95% confidence interval [CI] 1.69-1.84). Overweight (OR 0.87; 95% CI 0.85-0.90), class 1 obesity (OR 0.88; 95% CI 0.85-0.91), and class 2 obesity (OR 0.91; 95% CI 0.87-0.96) had negative associations with hospital admission. Class 1 and class 2, but not class 3, obesity had small positive associations with 7- and 30-day PED revisits.

CONCLUSIONS

We found an inverse relationship between patient weight category and risk for hospital admission in children evaluated in the PED for LRTD.

The Impact of Strict Public Health Restrictions on Pediatric Critical Illness

OBJECTIVES

To characterize the impact of public health interventions on the volume and characteristics of admissions to the PICU.

DESIGN

Multicenter retrospective cohort study.

SETTING

Six U.S. referral PICUs during February 15, 2020-May 14, 2020, compared with the same months during 2017-2019 (baseline).

PATIENTS

PICU admissions excluding admissions for illnesses due to severe acute respiratory syndrome coronavirus 2 and readmissions during the same hospitalization.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Primary outcome was admission volumes during the period of stay-at-home orders (March 15, 2020-May 14, 2020) compared with baseline. Secondary outcomes were hospitalization characteristics including advanced support (e.g., invasive mechanical ventilation), PICU and hospital lengths of stay, and mortality. We used generalized linear mixed modeling to compare patient and admission characteristics during the stay-at-home orders period to baseline. We evaluated 7,960 admissions including 1,327 during March 15, 2020-May 14, 2020. Daily admissions and patients days were lower during the period of stay-at-home orders compared with baseline: median admissions 21 (interquartile range, 17-25) versus 36 (interquartile range, 30-42) (p < 0.001) and median patient days 93.0 (interquartile range, 55.9-136.7) versus 143.6 (interquartile range, 108.5-189.2) (p < 0.001). Admissions during the period of stay-at-home orders were less common in young children and for respiratory and infectious illnesses and more common for poisonings, endocrinopathies and for children with race/ethnicity categorized as other/unspecified. There were no differences in hospitalization characteristics except fewer patients received noninvasive ventilation during the period of stay-at-home orders.

CONCLUSIONS

Reductions in PICU admissions suggest that much of pediatric critical illness in younger children and for respiratory and infectious illnesses may be preventable through targeted public health strategies.

Taxonomy of Pathogen Codetection in Pediatric Case Fatalities with Adenoviral Respiratory Infection

Objective The aim of this study was to determine the prevalence and taxonomy of pathogen codetection in pediatric case fatalities associated with adenoviral respiratory infection.

Methods This retrospective case series included 107 pediatric case fatalities associated with adenoviral respiratory infection.

Results We observed a high rate of pathogen codetection with broad diversity from both respiratory and nonrespiratory sources. We noted differences in codetection characteristics based on immune status; most notably that immunocompromised cases were more likely to have bacteremia and adenoviremia.

Conclusions In pediatric case fatalities associated with adenoviral respiratory infection, we observed a high degree of pathogen codetection.

Characteristics of Burn-Injured Children in 117 U.S. PICUs (2009-2017): A Retrospective Virtual Pediatric Systems Database Study

OBJECTIVES

To describe characteristics and outcomes of children with burn injury treated in U.S. PICUs.

DESIGN

Retrospective study of admissions in the Virtual Pediatric Systems, LLC, database from 2009 to 2017.

SETTING

One hundred and seventeen PICUs in the United States.

PATIENTS

Patients less than 18 years old admitted with an active diagnosis of burn at admission.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A total of 2,056 patients were included. They were predominantly male (62.6%) and less than 6 years old (66.7%). Cutaneous burns were recorded in 92.1% of patients, mouth/pharynx burns in 5.8%, inhalation injury in 5.1%, and larynx/trachea/lung burns in 4.5%. Among those with an etiology recorded (n = 861), scald was most common (38.6%), particularly in children less than 2 years old (67.8%). Fire/flame burns were most common (46.6%) in children greater than or equal to 2 years. Multiple organ failure was present in 26.2% of patients. Most patients (89%) were at facilities without American Burn Association pediatric verification. PICU mortality occurred in 4.5% of patients. On multivariable analysis using Pediatric Index of Mortality 2, greater than or equal to 30% total body surface area burned was significantly associated with mortality (odds ratio, 5.40; 95% CI, 2.16-13.51; p = 0.0003). When Pediatric Risk of Mortality III was used, greater than or equal to 30% total body surface area burned (odds ratio, 5.45; 95% CI, 1.95-15.26; p = 0.001) and inhalation injury (odds ratio, 5.39; 95% CI, 1.58-18.42; p = 0.007) were significantly associated with mortality. Among 366 survivors (18.6%) with Pediatric Cerebral Performance Category or Pediatric Overall Performance Category data, 190 (51.9%) had a greater than or equal to 1 point increase in Pediatric Cerebral Performance Category or Pediatric Overall Performance Category disability category and 80 (21.9%) had a new designation of moderate or severe disability, or persistent vegetative state.

CONCLUSIONS

Burn-injured patients in U.S. PICUs have a substantial burden of organ failure, morbidity, and mortality. Coordination among specialized facilities may be particularly important in this population, especially for those with higher % total body surface area burned or inhalation injury.

Adenoviral Respiratory Infection-Associated Mortality in Children: A Retrospective Case Series

Viral respiratory infections are a leading cause of illness and hospitalization in young children worldwide. Case fatality rates in pediatric patients with adenoviral lower respiratory tract infection requiring intensive care unit (ICU) admission have been reported between 7 and 22%. We investigated the demographics and clinical characteristics in pediatric mortalities associated with adenoviral respiratory infection at 12 academic children's hospitals in the United States. There were 107 mortality cases included in our study, 73% of which had a chronic medical condition. The most common chronic medical condition was immunocompromised state in 37 cases (35%). The incidences of pediatric acute respiratory distress syndrome (78%) and multiple organ dysfunction syndrome (94%) were profound. Immunocompetent cases were more likely to receive mechanical ventilation within the first hour of ICU admission (60 vs. 14%, p < 0.001) and extracorporeal membrane oxygenation (27 vs. 5%, p = 0.009), and less likely to receive continuous renal replacement therapy (20 vs. 49%, p = 0.002) or have renal dysfunction (54 vs. 78%, p = 0.014) as compared with immunocompromised cases. Immunocompromised cases were more likely to have bacteremia (57 vs. 16%, p < 0.001) and adenoviremia (51 vs. 17%, p < 0.001) and be treated with antiviral medications (81 vs. 26%, p < 0.001). We observed a high burden of nonrespiratory organ system dysfunction in a cohort of pediatric case fatalities with adenoviral respiratory infection. The majority of cases had a chronic medical condition associated with an increased risk of complications from viral respiratory illness, most notably immunocompromised state. Important treatment differences were noted between immunocompromised and immunocompetent cases.

Predictors of need for mechanical ventilation at discharge after tracheostomy in the PICU

BACKGROUND

The objective of this study was to determine factors predictive of need for mechanical ventilation (MV) upon discharge from the pediatric intensive care unit (PICU) among patients who receive a tracheostomy during their stay.

METHODS

This was a retrospective cohort study using the Virtual PICU Systems (VPS) database. Patients <18 years old admitted between 2009-2011 who required MV for at least 3 days and received a tracheostomy during their PICU stay were included.

RESULTS

A total of 680 pediatric patients from 74 PICUs were included, of whom 347 (51%) remained on MV at the time of PICU discharge. Neonates (30/38, 79%) and infants (129/203, 64%) required MV at PICU discharge after tracheostomy more often than adolescents (66/141, 47%) and children (122/298, 41%). Time on MV pre-tracheostomy was longer among those who required MV at discharge (median 18.3 vs. 13.8 days, P < 0.0001); however, number of failed extubations was similar (median 1 for both groups, P = 0.97). On mixed-effects multivariable regression analysis, the age categories of neonate (OR 2.9, 95%CI 1.1-7.6, P = 0.03), and infant (OR 1.7, 95%CI 1.1-2.8, P = 0.03), and ventilator days prior to tracheostomy (OR 1.01, 95%CI 1.0-1.02, P = 0.01) were significantly associated with increased odds of MV upon PICU discharge, while being a trauma admission was associated with decreased odds (OR 0.45, 95%CI 0.28-0.73, P = 0.001).

CONCLUSIONS

Younger patients and those with prolonged courses of MV prior to tracheostomy are more likely to continue to need MV upon PICU discharge.

Communication at pediatric rapid response events: a survey of health care providers

OBJECTIVES

The objective of this study was to explore perceptions of communication quality at pediatric rapid response events and to determine whether these perceptions differed between rapid response team (RRT) members (RRTm) and floor providers (FP).

METHODS

This survey study was conducted of clinical providers involved in RRT events at a tertiary care children's hospital. Perceptions of RRT communication were assessed by using a 5-point Likert scale, and qualitative comments were collected. Responses were compared between RRTm (responder nurses and intensive care fellows) and FP (floor nurses and resident physicians).

RESULTS

Survey response was 64% (18 of 28) for RRTm and 70% (194 of 278) for FP. RRTm gave lower ratings than FP for communication of: (1) the purpose of the call; (2) airway and breathing; (3) circulation; (4) background information; and (5) possible diagnosis and treatment. RRTm were more likely than FP to indicate that description of background information delayed communication of critical management problems ("often": RRTm, 7 of 17 [41%]; FP, 23 of 175 [13%]; "always": RRTm, 2 of 18 [12%]; FP, 19 of 175 [11%]; P=.001 for overall comparison). A structured approach for communication was generally supported, although less strongly among floor nurses. Themes from qualitative responses included role confusion, fractured room entry, and a dismissive attitude by RRTm.

CONCLUSIONS

A disconnect in perceived quality of communication was observed between RRTm and FP at pediatric rapid response events. A structured approach with well-defined roles may improve communication quality.

Off-hours admission to pediatric intensive care and mortality

BACKGROUND

Critically ill patients are admitted to the pediatric ICU at all times, while staffing and other factors may vary by day of the week or time of day. The purpose of this study was to evaluate whether admission during off-hours is independently associated with mortality in PICUs.

METHODS

A retrospective cohort study of admissions of patients <18 years of age to PICUs was performed using the Virtual PICU Systems (VPS, LLC) database. "Off-hours" was defined as nighttime (7:00 pm to 6:59 am) or weekend (Saturday or Sunday any time). Mixed-effects multivariable regression was performed by using Pediatric Index of Mortality 2 (PIM2) to adjust for severity of illness. Primary outcome was death in the pediatric ICU.

RESULTS

Data from 234,192 admissions to 99 PICUs from January 2009 to September 2012 were included. When compared with regular weekday admissions, off-hours admissions were less likely to be elective, had a higher risk for mortality by PIM2, and had a higher observed ICU mortality (off-hours 2.7% vs weekdays 2.2%; P < .001). Multivariable regression revealed that, after adjustment for other significant factors, off-hours admission was associated with lower odds of mortality (odds ratio, 0.91; 95% confidence interval, 0.85-0.97; P = .004). Post hoc multivariable analysis revealed that admission during the morning period 6:00 am to 10:59 am was independently associated with death (odds ratio, 1.27; 95% confidence interval, 1.16-1.39; P < .0001).

CONCLUSIONS

Off-hours admission does not independently increase odds of death in the PICU. Admission from 6:00 am to 10:59 am is associated with increased risk for death and warrants further investigation in the PICU population.

Simulated pediatric resuscitation use for personal protective equipment adherence measurement and training during the 2009 influenza (H1N1) pandemic

Background

Previous experience with simulated pediatric cardiac arrests (that is, mock codes) suggests frequent deviation from American Heart Association (AHA) basic and advanced life support algorithms. During highly infectious outbreaks, acute resuscitation scenarios may also increase the risk of insufficient personal protective equipment (PPE) use by health care workers (HCWs). Simulation was used as an educational tool to measure adherence with PPE use and pediatric resuscitation guidelines during simulated cardiopulmonary arrests of 2009 influenza A patients.

Methods

A retrospective, observational study was performed of 84 HCWs participating in 11 in situ simulations in June 2009. Assessment included (1) PPE adherence, (2) confidence in PPE use, (3) elapsed time to specific resuscitation maneuvers, and (4) deviation from AHA guidelines.

Results

Observed adherence with PPE use was 61% for eye shields, 81% for filtering facepiece respirators or powered air-purifying respirators, and 87% for gown/gloves. Use of a “gatekeeper” to control access and facilitate donning of PPE was associated with 100% adherence with gown and respirator precautions and improved respirator adherence. All simulations showed deviation from pediatric basic life support protocols. The median time to bag-valve-mask ventilation improved from 4.3 to 2.7 minutes with a gatekeeper present. Rapid isolation carts appeared to improve access to necessary PPE. Confidence in PPE use improved from 64% to 85% after the mock code and structured debriefing.

Conclusions

Large gaps exist in the use of PPE and self-protective behaviors, as well as adherence to resuscitation guidelines, during simulated resuscitation events. Intervention opportunities include use of rapid isolation measures, use of gatekeepers, reinforcement of first responder roles, and further simulation training with PPE.