Sampling Multiple Catheter Lumens to Improve Detection of Bloodstream Infection in Pediatric Oncology Patients.

Current guidelines recommend sampling each central-access lumen during the initial evaluation of febrile pediatric oncology patients. We investigated this recommendation's validity at centers implementing a diagnostic stewardship program to reduce blood cultures in critically ill children. Among 146 oncology patients admitted to the intensive care unit, there were 34 eligible blood culture-sets. Eleven (34%) sets yielded discordant results, most commonly cultivating a likely pathogen from one lumen and no growth from another. As hospitals move toward reducing testing overuse, these results emphasize the continued importance of culturing each central-access lumen to optimize the detection of bacteremia in the initial evaluation of critically ill pediatric oncology patients.

Antibiotic Prescription in Young Children With Respiratory Syncytial Virus-Associated Respiratory Failure and Associated Outcomes.

OBJECTIVES: To describe antibiotic prescribing practices during the first 2 days of mechanical ventilation among previously healthy young children with respiratory syncytial virus-associated lower respiratory tract infection and evaluate associations between the prescription of antibiotics at onset of mechanical ventilation with clinical outcomes. DESIGN: Retrospective cohort study. SETTING: Forty-six children's hospitals in the United States. PATIENTS: Children less than 2 years old discharged between 2012 and 2016 with an International Classification of Diseases diagnosis of respiratory syncytial virus-associated lower respiratory tract infection, no identified comorbid conditions, and receipt of mechanical ventilation. INTERVENTIONS: Antibiotic prescription during the first 2 days of mechanical ventilation. MEASUREMENTS AND MAIN RESULTS: We compared duration of mechanical ventilation and hospital length of stay between children prescribed antibiotics on both of the first 2 days of mechanical ventilation and children not prescribed antibiotics during the first 2 days of mechanical ventilation. We included 2,107 PICU children with respiratory syncytial virus-associated lower respiratory tract infection (60% male, median age of 1 mo [interquartile range, 1-4 mo]). The overall proportion of antibiotic prescription on both of the first 2 days of mechanical ventilation was 82%, decreasing over the study period (p = 0.004) and varying from 36% to 100% across centers. In the bivariate analysis, antibiotic prescription was associated with a shorter duration of mechanical ventilation (6 d [4-9 d] vs 8 d [6-11 d]; p < 0.001) and a shorter hospital length of stay (11 d [8-16 d] vs 13 d [10-18 d]; p < 0.001). After adjustment for center, demographics, and vasoactive medication prescription, antibiotic prescription was associated with a 1.21-day shorter duration of mechanical ventilation and a 2.07-day shorter length of stay. Ultimately, 95% of children were prescribed antibiotics sometime during hospitalization, but timing, duration, and antibiotic choice varied markedly. CONCLUSIONS: Although highly variable across centers and decreasing over time, the practice of instituting antibiotics after intubation in young children with respiratory syncytial virus-associated lower respiratory tract infection was associated with a shortened clinical course after adjustment for the limited available covariates. A prudent approach to identify and optimally treat bacterial coinfection is needed.

Factors Associated With Pediatric Ventilator-Associated Conditions in Six U.S. Hospitals: A Nested Case-Control Study.

OBJECTIVES: A newly proposed surveillance definition for ventilator-associated conditions among neonatal and pediatric patients has been associated with increased morbidity and mortality among ventilated patients in cardiac ICU, neonatal ICU, and PICU. This study aimed to identify potential risk factors associated with pediatric ventilator-associated conditions. DESIGN: Retrospective cohort. SETTING: Six U.S. hospitals PATIENTS:: Children less than or equal to 18 years old ventilated for greater than or equal to 1 day. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We identified children with pediatric ventilator-associated conditions and matched them to children without ventilator-associated conditions. Medical records were reviewed for comorbidities and acute care factors. We used bivariate and multivariate conditional logistic regression models to identify factors associated with ventilator-associated conditions. We studied 192 pairs of ventilator-associated conditions cases and matched controls (113 in the PICU and cardiac ICU combined; 79 in the neonatal ICU). In the PICU/cardiac ICU, potential risk factors for ventilator-associated conditions included neuromuscular blockade (odds ratio, 2.29; 95% CI, 1.08-4.87), positive fluid balance (highest quartile compared with the lowest, odds ratio, 7.76; 95% CI, 2.10-28.6), and blood product use (odds ratio, 1.52; 95% CI, 0.70-3.28). Weaning from sedation (i.e., decreasing sedation) or interruption of sedation may be protective (odds ratio, 0.44; 95% CI, 0.18-1.11). In the neonatal ICU, potential risk factors included blood product use (odds ratio, 2.99; 95% CI, 1.02-8.78), neuromuscular blockade use (odds ratio, 3.96; 95% CI, 0.93-16.9), and recent surgical procedures (odds ratio, 2.19; 95% CI, 0.77-6.28). Weaning or interrupting sedation was protective (odds ratio, 0.07; 95% CI, 0.01-0.79). CONCLUSIONS: In mechanically ventilated neonates and children, we identified several possible risk factors associated with ventilator-associated conditions. Next steps include studying propensity-matched cohorts and prospectively testing whether changes in sedation management, transfusion thresholds, and fluid management can decrease pediatric ventilator-associated conditions rates and improve patient outcomes.

Pediatric Triage in a Severe Pandemic: Maximizing Survival by Establishing Triage Thresholds.

OBJECTIVES: To develop and validate an algorithm to guide selection of patients for pediatric critical care admission during a severe pandemic when Crisis Standards of Care are implemented. DESIGN: Retrospective observational study using secondary data. PATIENTS: Children admitted to VPS-participating PICUs between 2009-2012. INTERVENTIONS: A total of 111,174 randomly selected nonelective cases from the Virtual PICU Systems database were used to estimate each patient's probability of death and duration of ventilation employing previously derived predictive equations. Using real and projected statistics for the State of Ohio as an example, triage thresholds were established for casualty volumes ranging from 5,000 to 10,000 for a modeled pandemic with peak duration of 6 weeks and 280 pediatric intensive care beds. The goal was to simultaneously maximize casualty survival and bed occupancy. Discrete Event Simulation was used to determine triage thresholds for probability of death and duration of ventilation as a function of casualty volume and the total number of available beds. Simulation was employed to compare survival between the proposed triage algorithm and a first come first served distribution of scarce resources. MEASUREMENTS AND MAIN RESULTS: Population survival was greater using the triage thresholds compared with a first come first served strategy. In this model, for five, six, seven, eight, and 10 thousand casualties, the triage algorithm increased the number of lives saved by 284, 386, 547, 746, and 1,089, respectively, compared with first come first served (all p < 0.001). CONCLUSIONS: Use of triage thresholds based on probability of death and duration of mechanical ventilation determined from actual critically ill children's data demonstrated superior population survival during a simulated overwhelming pandemic.

Ventilator-Associated Events in Neonates and Children--A New Paradigm.

OBJECTIVES: To identify a pediatric ventilator-associated condition definition for use in neonates and children by exploring whether potential ventilator-associated condition definitions identify patients with worse outcomes. DESIGN: Retrospective cohort study and a matched cohort analysis. SETTING: Pediatric, cardiac, and neonatal ICUs in five U.S. hospitals. PATIENTS: Children 18 years old or younger ventilated for at least 1 day. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We evaluated the evidence of worsening oxygenation via a range of thresholds for increases in daily minimum fraction of inspired oxygen (by 0.20, 0.25, and 0.30) and daily minimum mean airway pressure (by 4, 5, 6, and 7 cm H2O). We required worsening oxygenation be sustained for at least 2 days after at least 2 days of stability. We matched patients with a ventilator-associated condition to those without and used Cox proportional hazard models with frailties to examine associations with hospital mortality, hospital and ICU length of stay, and duration of ventilation. The cohort included 8,862 children with 10,209 hospitalizations and 77,751 ventilator days. For the fraction of inspired oxygen 0.25/mean airway pressure 4 definition (i.e., increase in minimum daily fraction of inspired oxygen by 0.25 or mean airway pressure by 4), rates ranged from 2.9 to 3.2 per 1,000 ventilator days depending on ICU type; the fraction of inspired oxygen 0.30/mean airway pressure 7 definition yielded ventilator-associated condition rates of 1.1-1.3 per 1,000 ventilator days. All definitions were significantly associated with greater risk of hospital death, with hazard ratios ranging from 1.6 (95% CI, 0.7-3.4) to 6.8 (2.9-16.0), depending on thresholds and ICU type. Each definition was associated with prolonged hospitalization, time in ICU, and duration of ventilation, among survivors. The advisory board of the study proposed using the fraction of inspired oxygen 0.25/mean airway pressure 4 thresholds to identify pediatric ventilator-associated conditions in ICUs. CONCLUSIONS: Pediatric patients with ventilator-associated conditions are at substantially higher risk for mortality and morbidity across ICUs, regardless of thresholds used. Next steps include identification of risk factors, etiologies, and preventative measures for pediatric ventilator-associated conditions.

Evidence-Based Pediatric Outcome Predictors to Guide the Allocation of Critical Care Resources in a Mass Casualty Event.

OBJECTIVE: ICU resources may be overwhelmed by a mass casualty event, triggering a conversion to Crisis Standards of Care in which critical care support is diverted away from patients least likely to benefit, with the goal of improving population survival. We aimed to devise a Crisis Standards of Care triage allocation scheme specifically for children. DESIGN: A triage scheme is proposed in which patients would be divided into those requiring mechanical ventilation at PICU presentation and those not, and then each group would be evaluated for probability of death and for predicted duration of resource consumption, specifically, duration of PICU length of stay and mechanical ventilation. Children will be excluded from PICU admission if their mortality or resource utilization is predicted to exceed predetermined levels ("high risk"), or if they have a low likelihood of requiring ICU support ("low risk"). Children entered into the Virtual PICU Performance Systems database were employed to develop prediction equations to assign children to the exclusion categories using logistic and linear regression. Machine Learning provided an alternative strategy to develop a triage scheme independent from this process. SETTING: One hundred ten American PICUs SUBJECTS: : One hundred fifty thousand records from the Virtual PICU database. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The prediction equations for probability of death had an area under the receiver operating characteristic curve more than 0.87. The prediction equation for belonging to the low-risk category had lower discrimination. R for the prediction equations for PICU length of stay and days of mechanical ventilation ranged from 0.10 to 0.18. Machine learning recommended initially dividing children into those mechanically ventilated versus those not and had strong predictive power for mortality, thus independently verifying the triage sequence and broadly verifying the algorithm. CONCLUSION: An evidence-based predictive tool for children is presented to guide resource allocation during Crisis Standards of Care, potentially improving population outcomes by selecting patients likely to benefit from short-duration ICU interventions.