Existing data analysis in pediatric critical care research

Probabilistic Linkage Creates a Novel Database to Study Bronchiolitis Care in the PICU

OBJECTIVES

Lack of a comprehensive database containing diagnosis, patient and clinical characteristics, diagnostics, treatments, and outcomes limits needed comparative effectiveness research (CER) to improve care in the PICU. Combined, the Pediatric Hospital Information System (PHIS) and Virtual Pediatric Systems (VPS) databases contain the needed data for CER, but limits on the use of patient identifiers have thus far prevented linkage of these databases with traditional linkage methods. Focusing on the subgroup of patients with bronchiolitis, we aim to show that probabilistic linkage methods accurately link data from PHIS and VPS without the need for patient identifiers to create the database needed for CER.

METHODS

We used probabilistic linkage to link PHIS and VPS records for patients admitted to a tertiary children's hospital between July 1, 2017 to June 30, 2019. We calculated the percentage of matched records, rate of false-positive matches, and compared demographics between matched and unmatched subjects with bronchiolitis.

RESULTS

We linked 839 of 920 (91%) records with 4 (0.5%) false-positive matches. We found no differences in age (P = .76), presence of comorbidities (P = .16), admission illness severity (P = .44), intubation rate (P = .41), or PICU stay length (P = .36) between linked and unlinked subjects.

CONCLUSIONS

Probabilistic linkage creates an accurate and representative combined VPS-PHIS database of patients with bronchiolitis. Our methods are scalable to join data from the 38 hospitals that jointly contribute to PHIS and VPS, creating a national database of diagnostics, treatment, outcome, and patient and clinical data to enable CER for bronchiolitis and other conditions cared for in the PICU.

Pediatric intensive care unit admissions network-rationale, framework and method of operation of a nationwide collaborative pediatric intensive care research network in Germany

The Pediatric Intensive Care Unit Admissions (PIA) network aims to establish a nationwide database in Germany to gather epidemiological, clinical, and outcome data on pediatric critical illness. The heterogeneity of pediatric patients in intensive care units (PICU) poses challenges in obtaining sufficient case numbers for reliable research. Multicentered approaches, such as patient registries, have proven effective in collecting large-scale data. However, Germany lacks a systematic registration system for pediatric intensive care admissions, hindering epidemiological and outcome assessments. The PIA network intends to address these gaps and provide a framework for clinical and epidemiological research in pediatric intensive care. The network will interconnect PICUs across Germany and collect structured data on diagnoses, treatment, clinical course, and short-term outcomes. It aims to identify areas for improvement in care, enable disease surveillance, and potentially serve as a quality control tool. The PIA network builds upon the existing infrastructure of the German Pediatric Surveillance Unit ESPED and utilizes digitalized data collection techniques. Participating units will complete surveys on their organizational structure and equipment. The study population includes patients aged ≥28 days admitted to participating PICUs, with a more detailed survey for cases meeting specific criteria. Data will be collected by local PIA investigators, anonymized, and entered into a central database. The data protection protocol complies with regulations and ensures patient privacy. Quarterly data checks and customized quality reports will be conducted to monitor data completeness and plausibility. The network will evaluate its performance, data collection feasibility, and data quality. Eligible investigators can submit proposals for data analyses, which will be reviewed and analyzed by trained statisticians or epidemiologists. The PIA network aims to improve pediatric intensive care medicine in Germany by providing a comprehensive understanding of critical illness, benchmarking treatment quality, and enabling disease surveillance.

Pericardial Effusions After the Arterial Switch Operation: A PHIS Database Review

Background: Pericardial effusion (PCE) is a significant complication after pediatric cardiac surgery. This study investigates PCE development after the arterial switch operation (ASO) and its short-term and longitudinal impacts. Methods: A retrospective review of the Pediatric Health Information System database. Patients with dextro-transposition of the great arteries who underwent ASO from January 1, 2004, to March 31, 2022, were identified. Patients with and without PCE were analyzed with descriptive, univariate, and multivariable regression statistics. Results: There were 4896 patients identified with 300 (6.1%) diagnosed with PCE. Thirty-five (11.7%) with PCE underwent pericardiocentesis. There were no differences in background demographics or concomitant procedures between those who developed PCE and those who did not. Patients who developed PCE more frequently had acute renal failure (N = 56 (18.7%) vs N = 603(13.1%), P = .006), pleural effusions (N = 46 (15.3%) vs N = 441 (9.6%), P = .001), mechanical circulatory support (N = 26 (8.7%) vs N = 199 (4.3%), P < .001), and had longer postoperative length of stay (15 [11-24.5] vs 13 [IQR: 9-20] days). After adjustment for additional factors, pleural effusions (OR = 1.7 [95% CI: 1.2-2.4]), and mechanical circulatory support (OR = 1.81 [95% CI: 1.15-2.85]) conferred higher odds of PCE. There were 2298 total readmissions, of which 46 (2%) had PCE, with no difference in median readmission rate for patients diagnosed with PCE at index hospitalization (median 0 [IQR: 0-1] vs 0 [IQR: 0-0], P = .208). Conclusions: PCE occurred after 6.1% of ASO and was associated with pleural effusions and mechanical circulatory support. PCE is associated with morbidity and prolonged length of stay; however, there was no association with in-hospital mortality or readmissions.

Sharing and Safeguarding Pediatric Data

Data sharing is key to advancing our understanding of human health and well-being. While issues related to pediatric research warrant strong ethical protections, overly protectionist policies may serve to exclude minors from data sharing initiatives. Pediatric data sharing is critical to scientific research concerning health and well-being, to say nothing of understanding human development generally. For example, large-scale pediatric longitudinal studies, such as those in the DREAM-BIG Consortium, on the influence of prenatal adversity factors on child psychopathology, will provide prevention data and generate future health benefits. Recent initiatives have formulated sound policy to help enable and foster data sharing practices for pediatric research. To help translate these policy initiatives into practice, we discuss how model consent clauses for pediatric research can help address some of the issues and challenges of pediatric data sharing, while enabling data sharing.

Leveraging EHR Data to Evaluate the Association of Late Recognition of Deterioration With Outcomes

OBJECTIVES

Emergency transfers (ETs), deterioration events with late recognition requiring ICU interventions within 1 hour of transfer, are associated with adverse outcomes. We leveraged electronic health record (EHR) data to assess the association between ETs and outcomes. We also evaluated the association between intervention timing (urgency) and outcomes.

METHODS

We conducted a propensity-score-matched study of hospitalized children requiring ICU transfer between 2015 and 2019 at a single institution. The primary exposure was ET, automatically classified using Epic Clarity Data stored in our enterprise data warehouse endotracheal tube in lines/drains/airway flowsheet, vasopressor in medication administration record, and/or ≥60 ml/kg intravenous fluids in intake/output flowsheets recorded within 1 hour of transfer. Urgent intervention was defined as interventions within 12 hours of transfer.

RESULTS

Of 2037 index transfers, 129 (6.3%) met ET criteria. In the propensity-score-matched cohort (127 ET, 374 matched controls), ET was associated with higher in-hospital mortality (13% vs 6.1%; odds ratio, 2.47; 95% confidence interval [95% CI], 1.24-4.9, P = .01), longer ICU length of stay (subdistribution hazard ratio of ICU discharge 0.74; 95% CI, 0.61-0.91, P < .01), and longer posttransfer length of stay (SHR of hospital discharge 0.71; 95% CI, 0.56-0.90, P < .01). Increased intervention urgency was associated with increased mortality risk: 4.1% no intervention, 6.4% urgent intervention, and 10% emergent intervention.

CONCLUSIONS

An EHR measure of deterioration with late recognition is associated with increased mortality and length of stay. Mortality risk increased with intervention urgency. Leveraging EHR automation facilitates generalizability, multicenter collaboratives, and metric consistency.

Administrative data in pediatric critical care research-Potential, challenges, and future directions

Heterogenous patient populations with small case numbers constitute a relevant barrier to research in pediatric critical care. Prospective studies bring along logistic barriers and-if interventional-ethical concerns. Therefore, retrospective observational investigations, mainly multicenter studies or analyses of registry data, prevail in the field of pediatric critical care research. Administrative health care data represent a possible alternative to overcome small case numbers and logistic barriers. However, their current use is limited by a lack of knowledge among clinicians about the availability and characteristics of these data sets, along with required expertise in the handling of large data sets. Specifically in the field of critical care research, difficulties to assess the severity of the acute disease and estimate organ dysfunction and outcomes pose additional challenges. In contrast, trauma research has shown that classification of injury severity from administrative data can be achieved and chronic disease scores have been developed for pediatric patients, nurturing confidence that the remaining obstacles can be overcome. Despite the undoubted challenges, interdisciplinary collaboration between clinicians and methodologic experts have resulted in impactful publications from across the world. Efforts to enable the estimation of organ dysfunction and measure outcomes after critical illness are the most urgent tasks to promote the use of administrative data in critical care. Clever analysis and linking of different administrative health care data sets carry the potential to advance observational research in pediatric critical care and ultimately improve clinical care for critically ill children.

Outcome Differences Between Direct Admissions to the PICU From ED and Escalations From Floor

OBJECTIVES

To compare the outcomes (mortality and ICU length of stay) of patients with direct admissions to the PICU from the emergency department [ED]) versus as an escalation of care from the floor.

METHODS

A retrospective cohort study with a secondary analysis of registry data. Patient demographics and outcome variables collected from January 1, 2015, to December 31, 2019, were obtained from the Virtual Pediatric Systems database. Patients with a source of admission other than the hospital's ED or pediatric floor were excluded. Multivariable regression analysis controlling for age groups, sex, race, diagnostic categories, and severity of illness (Pediatric Index of Mortality III), with clustering for sites, was performed.

RESULTS

A total of 209 695 patients from 121 sites were included in the analysis. A total of 154 716 (73.7%) were admitted directly from the ED, and 54 979 were admitted (26.2%) as an escalation of care from the floor. Two groups differed in age and race distribution, medical complexity, diagnostic categories, and severity of illness. After controlling for measured confounders, patients with floor escalations had higher mortality (2.78% vs 1.95%; P < .001), with an odds ratio of 1.71 (95% CI 1.5 to 1.9) and longer PICU length of stay (4.9 vs 3.6 days; P < .001). The rates of most of the common ICU procedures and their durations were also significantly higher in patients with an escalation of care.

CONCLUSIONS

Compared with direct admissions to the PICU from the ED, patients who were initially triaged to the pediatric floor and then require escalation to the PICU have worse outcomes. Further research is needed to explore the potential causes of this difference.

Prevalence of Reintubation Within 24 Hours of Extubation in Bronchiolitis: Retrospective Cohort Study Using the Virtual Pediatric Systems Database

OBJECTIVES

High-flow nasal cannula and noninvasive positive pressure ventilation are used to support children following liberation from invasive mechanical ventilation. Evidence comparing extubation failure rates between patients randomized to high-flow nasal cannula and noninvasive positive pressure ventilation is available for adult and neonatal patients; however, similar pediatric trials are lacking. In this study, we employed a quality controlled, multicenter PICU database to test the hypothesis that high-flow nasal cannula is associated with higher prevalence of reintubation within 24 hours among patients with bronchiolitis.

DESIGN

Secondary analysis of a prior study utilizing the Virtual Pediatric Systems database.

SETTING

One-hundred twenty-four participating PICUs.

PATIENTS

Children less than 24 months old with a primary diagnosis of bronchiolitis who were admitted to one of 124 PICUs between January 2009 and September 2015 and received invasive mechanical ventilation.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Among 759 patients, median age was 2.4 months (1.3-5.4 mo), 41.2% were female, 39.7% had greater than or equal to 1 comorbid condition, and 43.7% were Caucasian. Median PICU length of stay was 8.7 days (interquartile range, 5.8-13.7 d) and survival to PICU discharge was 100%. Median duration of intubation was 5.5 days (3.4-9.0 d) prior to initial extubation. High-flow nasal cannula was used following extubation in most (656 [86.5%]) analyzed subjects. The overall prevalence of reintubation within 24 hours was 5.9% (45 children). Extubation to noninvasive positive pressure ventilation was associated with greater prevalence of reintubation than extubation to high-flow nasal cannula (11.7% vs 5.0%; p = 0.016) and, in an a posteriori model that included Pediatric Index of Mortality 2 score and comorbidities, was associated with increased odds of reintubation (odds ratio, 2.43; 1.11-5.34; p = 0.027).

CONCLUSIONS

In this secondary analysis of a multicenter database of children with bronchiolitis, extubation to high-flow nasal cannula was associated with a lower prevalence of reintubation within 24 hours compared with noninvasive positive pressure ventilation in both unmatched and propensity-matched analysis. Prospective trials are needed to determine if post-extubation support modality can mitigate the risk of extubation failure.

Performance of PRISM III, PELOD-2, and P-MODS Scores in Two Pediatric Intensive Care Units in China

Objective: The performances of the pediatric risk of mortality score III (PRISM III), pediatric logistic organ dysfunction score-2 (PELOD-2), and pediatric multiple organ dysfunction score (P-MODS) in Chinese patients are unclear. This study aimed to assess the performances of these scores in predicting mortality in critically ill pediatric patients. Methods: This retrospective observational study was conducted at two tertiary-care PICUs of teaching hospitals in China. A total of 1,253 critically ill pediatric patients admitted to the two Pediatric Intensive Care Units (PICUs) of the First Affiliated Hospital, Sun Yat-Sen University from August 2014 to December 2019 and Shen-Zhen Children's Hospital from January 2019 to December 2019 were analyzed. The indexes of discrimination and calibration were applied to evaluate score performance for the three models (PRISM III, PELOD-2, and P-MODS scores). The receiver operating characteristic (ROC) curve was plotted, and the efficiency of PRISM III, PELOD-2, and P-MODS in predicting death were evaluated by the area under ROC curve (AUC). Hosmer-Lemeshow goodness-of-fit test was used to evaluate the degree of fitting between the mortality predictions of each scoring system and the actual mortality. Results: A total of 1,253 pediatric patients were eventually enrolled in this study (median age, 38 months; overall mortality rate, 8.9%; median length of PICU stay, 8 days). Compared to the survival group, the non-survival group showed significantly higher PRISM III, PELOD-2, and P-MODS scores [PRISM III: 18 (12, 23) vs. 11 (0, 16); PELOD-2, 8 (4, 10) vs. 4 (0, 6); and P-MODS: 5 (4, 9) vs. 3 (0, 4), all P < 0.001]. ROC curve analysis showed that the AUCs of PRISM III, PELOD-2, and P-MODS for predicting the death of critically ill children were 0.858, 0.721, and 0.596, respectively. Furthermore, in the Hosmer-Lemeshow goodness-of-fit test, PRISM III and PELOD-2 showed the better calibration between predicted mortality and observed mortality (PRISM III: χ² = 5.667, P = 0.368; PELOD-2: χ² = 9.582, P = 0.276; P-MODS: χ² = 12.449, P = 0.015). Conclusions: PRISM III and PELOD-2 can discriminate well between survivors and non-survivors. PRISM III and PELOD-2 showed the better calibration between predicted and observed mortality, while P-MODS showed poor calibration.

Emergency room endotracheal intubation in children with bronchiolitis: A cohort study using a multicenter database

BACKGROUND AND AIMS

Bronchiolitis and asthma have a clinical overlap, and it has been shown that pediatric intensive care unit (PICU) patients with asthma undergoing endotracheal intubation in a community hospital emergency room (ER) have a shorter duration of mechanical ventilation (MV) and PICU length of stay (LOS) vs children undergoing intubation in a children's hospital. We aimed to determine if the setting of intubation (community vs children's hospital ER) is associated with the duration of MV and PICU LOS among children with bronchiolitis.

METHODS

With IRB approval, data in the Virtual Pediatric Systems (VPS, LLC) database were queried for bronchiolitis patients <24 months of age admitted to one of 103 predominantly North American PICUs between 1/2009 and 1/2016 who had an endotracheal tube in place at PICU admission. There were no exclusion criteria. Extracted data included ER type (community/external or children's hospital/internal), demographics, and reported comorbidities. Outcomes analyzed were duration of MV and PICU LOS. Multivariable linear regression was used to evaluate if intubation location was independently associated with the outcomes of interest.

RESULTS

Among 1934 patients, median age was 2.0 (IQR: 1.0-4.8) months, 51% were admitted from an external ER, 41% were White, 61% were male, and 28% had ≥1 comorbidity. Median duration of MV was 6.6 (4.6-9.5) days and the median PICU LOS was 7.0 (4.6-10.6) days. Children who underwent endotracheal intubation in a children's hospital ER had a modestly longer duration of MV (6.7 [4.4-9.4] vs 6.5 [5.2-9.6] days, P < .001, Mann-Whitney U) and longer PICU LOS (7.2 [4.8-10.8] vs 6.9 [4.2-10.1] days, P = .004, Mann-Whitney U). After adjusting for confounding variables, we did not observe a significant association between the location of endotracheal intubation and duration of MV or PICU LOS.

CONCLUSION

In this cohort, and unlike outcomes of near-fatal asthma, we observed that clinical outcomes of critical bronchiolitis were similar regardless of location of endotracheal intubation.

Joining Datasets Without Identifiers: Probabilistic Linkage of Virtual Pediatric Systems and PEDSnet

OBJECTIVES

To 1) probabilistically link two important pediatric data sources, Virtual Pediatric Systems and PEDSnet, 2) evaluate linkage accuracy overall and in patients with severe sepsis or septic shock, and 3) identify variables important to linkage accuracy.

DESIGN

Retrospective linkage of prospectively collected datasets from Virtual Pediatrics Systems, Inc (Los Angeles, CA) and the PEDSnet consortium.

SETTING

Single-center academic PICU.

PATIENTS

All PICU encounters between January 1, 2012, and December 31, 2017, that were deterministically matched between the two datasets.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We abstracted records from Virtual Pediatric Systems and PEDSnet corresponding to PICU encounters and probabilistically linked using 44 features shared by the two datasets. We generated a gold standard deterministic linkage using protected health information elements, which were then removed from datasets. We then calculated candidate pair log-likelihood ratios for all pairs of subjects and selected optimal pairs in a two-stage algorithm. A total of 22,051 gold standard PICU encounter pairs were identified over the study period. The optimal linkage model demonstrated excellent discrimination (area under the receiver operating characteristic curve > 0.99); 19,801 cases (89.9%) were matched with 13 false positives. The addition of two protected health information dates (admission month, birth day-of-year) increased to 20,189 (91.6%) the cases matched, with three false positives. Restricting to patients with Virtual Pediatric Systems diagnosis of severe sepsis or septic shock (n = 1,340 [6.1%]) matched 1,250 cases (93.2%) with zero false positives. Increased number of laboratory values present in the first 12 hours of admission significantly increased log-likelihood ratios, suggesting stronger candidate pair matching.

CONCLUSIONS

We demonstrated the use of probabilistic linkage to accurately join two complementary pediatric critical care datasets at a single academic PICU in the absence of protected health information. Combining datasets with curated diagnoses and granular measurements can validate patient acuity metrics and facilitate multicenter machine learning algorithms. We anticipate these methods will generalize to other common PICU diagnoses.

Illustration of the current practice and outcome comparison of early versus late tracheostomy after pediatric ECMO

OBJECTIVE

Pediatric extracorporeal membrane oxygenation typically necessitates protracted ventilator support, yet not much is known about the use of tracheostomy in the pediatric subpopulation. The study was designed with an objective to quantify the prevalence of tracheostomy in children with respiratory/cardiac failure requiring extracorporeal membrane oxygenation and to compare outcomes for patients undergoing early, late, and no tracheostomy.

METHODS

Data of patients <18 years of age who underwent extracorporeal membrane oxygenation for respiratory/cardiac failure between 2009 and 2015 were obtained from the Virtual Pediatric Systems (VPS, LLC) Database. Patients who underwent post-operative cardiac ECMO were excluded. Early versus late tracheostomy was defined as ⩽21 or >21 days after intensive care unit admission.

RESULTS

Data were analyzed for 2127 patients meeting inclusion and exclusion criteria. Five percent (107/2127) underwent a tracheostomy. Of these, 28% (30/107) underwent early and 72% (77/107) late tracheostomy. A higher mortality was found in the no tracheostomy group (41.3%) compared to early (13.3%) and late tracheostomy (14.3%) groups. Late tracheostomy was associated with 2.4 times the expected intensive care unit length of stay and 1.87 times the expected ventilator days as compared to patients with no tracheostomy. Early tracheostomy was associated with a shorter intensive care unit length of stay (p value < 0.001) and ventilator days (p value = 0.04) compared to late tracheostomy and no difference with the no tracheostomy group.

CONCLUSIONS

Late tracheostomy (>21 days) is associated with worse outcomes in the cohort of children who underwent Pediatric extracorporeal membrane oxygenation compared to patients who did not undergo tracheostomy. Early tracheostomy is associated with shorter intensive care unit stay and ventilator duration when compared to late tracheostomy.

Evaluating Mortality Risk Adjustment Among Children Receiving Extracorporeal Support for Respiratory Failure

This study evaluates whether three commonly used pediatric intensive care unit (PICU) severity of illness scores, pediatric risk of mortality score (PRISM) III, pediatric index of mortality (PIM) 2, and pediatric logistic organ dysfunction (PELOD), are the appropriate tools to discriminate mortality risk in children receiving extracorporeal membrane oxygenation (ECMO) support for respiratory failure. This study also evaluates the ability of the Pediatric Risk Estimate Score for Children Using Extracorporeal Respiratory Support (Ped-RESCUERS) to discriminate mortality risk in the same population, and whether Ped-RESCUERS' discrimination of mortality is improved by additional clinical and laboratory measures of renal, hepatic, neurologic, and hematologic dysfunction. A multi-institutional retrospective cohort study was conducted on children aged 29 days to 17 years with respiratory failure requiring respiratory ECMO support. Discrimination of mortality was evaluated with the area under the receiver operating curve (AUC); model calibration was measured by the Hosmer-Lemeshow goodness of fit test and Brier score. Admission PRISM-III, PIM-2, and PELOD were found to have poor ability to discriminate mortality with an AUC of 0.56 [0.46-0.66], 0.53 [0.43-0.62], and 0.57 [0.47-0.67], respectively. Alternatively, Ped-RESCUERS performed better with an AUC of 0.68 [0.59-0.77]. Higher alanine aminotransferase, ratio of the arterial partial pressure of oxygen the fraction of inspired oxygen, and lactic acidosis were independently associated with mortality and, when added to Ped-RESCUERS, resulted in an AUC of 0.75 [0.66-0.82]. Admission PRISM-III, PIM-2, and PELOD should not be used for pre-ECMO risk adjustment because they do not discriminate death. Extracorporeal membrane oxygenation population-derived scores should be used to risk adjust ECMO populations as opposed to general PICU population-derived scores.

Association Between Mobile Telephone Interruptions and Medication Administration Errors in a Pediatric Intensive Care Unit

IMPORTANCE

Incoming text messages and calls on nurses' mobile telephones may interrupt medication administration, but whether such interruptions are associated with errors has not been established.

OBJECTIVE

To assess whether a temporal association exists between mobile telephone interruptions and subsequent errors by pediatric intensive care unit (PICU) nurses during medication administration.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective cohort study was performed using telecommunications and electronic health record data from a PICU in a children's hospital. Data were collected from August 1, 2016, through September 30, 2017. Participants included 257 nurses and the 3308 patients to whom they administered medications.

EXPOSURES

Primary exposures were incoming telephone calls and text messages received on the institutional mobile telephone assigned to the nurse in the 10 minutes leading up to a medication administration attempt. Secondary exposures were the nurse's PICU experience, work shift (day vs night), nurse to patient ratio, and level of patient care required.

MAIN OUTCOMES AND MEASURES

Primary outcome, errors during medication administration, was a composite of reported medication administration errors and bar code medication administration error alerts generated when nurses attempted to give medications without active orders for the patient whose bar code they scanned.

RESULTS

Participants included 257 nurses, of whom 168 (65.4%) had 6 months or more of PICU experience; and 3308 patients, of whom 1839 (55.6%) were male, 1539 (46.5%) were white, and 2880 (87.1%) were non-Hispanic. The overall rate of errors during 238 540 medication administration attempts was 3.1% (95% CI, 3.0%-3.3%) when nurses were uninterrupted by incoming telephone calls and 3.7% (95% CI, 3.4%-4.0%) when they were interrupted by such calls. During day shift, the odds ratios (ORs) for error when interrupted by calls (compared with uninterrupted) were 1.02 (95% CI, 0.92-1.13; P = .73) among nurses with 6 months or more of PICU experience and 1.22 (95% CI, 1.00-1.47; P = .046) among nurses with less than 6 months of experience. During night shift, the ORs for error when interrupted by calls were 1.35 (95% CI, 1.16-1.57; P < .001) among nurses with 6 months or more of PICU experience and 1.53 (95% CI, 1.16-2.03; P = .003) among nurses with less than 6 months of experience. Nurses administering medications to 1 or more patients receiving mechanical ventilation and arterial catheterization while caring for at least 1 other patient had an increased risk of error (OR, 1.21; 95% CI, 1.03-1.42; P = .02). Incoming text messages were not associated with error (OR, 0.97; 95% CI, 0.92-1.02; P = .22).

CONCLUSIONS AND RELEVANCE

This study's findings suggest that incoming telephone call interruptions may be temporally associated with medication administration errors among PICU nurses. Risk of error varied by shift, experience, nurse to patient ratio, and level of patient care required.

Identifying the "Blip on the Radar Screen": Leveraging Big Data in Defining Drug Safety and Efficacy in Pediatric Practice

The immense amount of electronic health data (pharmacy and administrative claims, electronic health records, and clinical registries) that is being generated every day in the care of patients has the potential to be leveraged for improving clinical decisions at the point of care, uncovering or validating drug efficacy and drug safety. The potential use of big data for improving safe and effective use of medications is especially important in children because of their low drug exposure relative to adults. Electronic health data is collected primarily for clinical or billing purposes and not for research purposes. The major steps involved in data acquisition, extraction, aggregation, analysis, modeling, and interpretation are discussed. It is important to understand the limitation of big data and utilize appropriate study design and statistical methods. Possible applications are presented along with specific examples of how big data has been used in drug research to find that blip on the radar screen that may give an efficacy or safety signal that can lead to further investigation.

Outcomes of Day 1 Multiple Organ Dysfunction Syndrome in the PICU

OBJECTIVES

We sought to describe current outcomes of Multiple Organ Dysfunction Syndrome present on day 1 of PICU admission.

DESIGN

Retrospective observational cohort study.

SETTING

Virtual Pediatric Systems, LLC, database admissions, January 2014 and December 2015.

PATIENTS

We analyzed 194,017 consecutive PICU admissions, (age 1 mo to 18 yr) from the 2014-2015 Virtual Pediatric Systems database.

INTERVENTIONS

We identified day 1 Multiple Organ Dysfunction Syndrome by International Pediatric Sepsis Consensus Conference criteria with day 1 laboratory and vital sign values. Functional status was evaluated by Pediatric Overall Performance Category and Pediatric Cerebral Performance Category scores from PICU admission and discharge.

MEASUREMENTS AND MAIN RESULTS

Overall, PICU mortality was 2.1%. We identified day 1 Multiple Organ Dysfunction Syndrome in 14.4% of admissions. Patients with Multiple Organ Dysfunction Syndrome had higher mortality than those without Multiple Organ Dysfunction Syndrome (10.3% vs 0.7%; p < 0.0001), and a higher percentage of survivors had greater than or equal to 2 category worsening in Pediatric Cerebral Performance Category score (3.6% vs 0.5%; p < 0.0001) or Pediatric Overall Performance Category score (6.0% vs 1.8%; p < 0.0001). The odds of death with day 1 Multiple Organ Dysfunction Syndrome was 14.3 (95% CI, 13-15.7), while the odds of death or discharge with Pediatric Overall Performance Category/Pediatric Cerebral Performance Category score greater than or equal to 3 (poor functional outcome) was 6.7 (95% CI, 6-7.4). In a subset of 148,188 patients from hospitals where limitation of support decisions were recorded, 5.8% patients with Multiple Organ Dysfunction Syndrome had limitation of support decisions in place, compared with 0.8% of patients without Multiple Organ Dysfunction Syndrome (p < 0.0001). Of day 1 Multiple Organ Dysfunction Syndrome patients who died, 43.1% had limitation of support decisions in place, and 41.6% had withdrawal of life-sustaining therapies (p < 0.0001).

CONCLUSIONS

Multiple Organ Dysfunction Syndrome present on day 1 of admission continues to be a major source of morbidity and mortality in the PICU, but risk of poor neurologic outcome may be improved. Further research is needed to understand decisions regarding limitation of support and withdrawal of life-sustaining therapy decisions in patients admitted with day 1 Multiple Organ Dysfunction Syndrome.

Expanding analytic possibilities in pediatric solid organ transplantation through linkage of administrative and clinical registry databases

Database linkage is a common strategy to expand analytic possibilities. Our group recently completed a linkage between the SRTR and PHIS databases for pediatric heart transplant recipients. The aim of this project was to expand the linkage between SRTR and PHIS to include liver, kidney, lung, heart-lung, and small bowel transplants. All patients (<21 years) who underwent liver, kidney, lung, heart-lung, or small bowel transplant were identified from the PHIS database using APR-DRG codes (2002-2018). Linkage was performed in a stepwise approach using indirect identifiers. Hospital costs were estimated based on hospital charges and cost-to-charge ratios, inflated to 2018 dollars and described by transplant type. A total of 14 061 patients overlapped between databases. Of these, 13 388 (95.2%) were uniquely linked. Linkage success ranged from 92.6% to 97.8% by organ system. A total of 12 940 (92%) patients had complete cost data. Hospitalization costs were greatest for patients undergoing small bowel transplantation with a median cost of $734 454 (IQR $336 174 - $1 504 167), followed by heart $565 386 (IQR $352 813 - $999 216), heart-lung $471 573 (IQR $328 523 - 992 438), lung $303 536 (IQR $215 383 - $612 749), liver $200 448 (IQR $130 880 - $357 897), and kidney transplant $94 796 (IQR $73 157 -$131 040). We report a robust linkage between the SRTR and PHIS databases, providing an invaluable tool to assess resource utilization in solid organ transplant recipients. Our analysis provides contemporary cost data for pediatric solid organ transplantation from the largest US sample reported to date. It also provides a platform for expanded analyses in the pediatric transplant population.

Readmissions to the ICU Among Children With Tracheostomies Placed After Cardiac Arrest

OBJECTIVE

Describe clinical outcomes and risk factors for ICU readmissions in a cohort of children who underwent tracheostomy placement after cardiac arrest.

METHODS

A retrospective, multicenter cohort analysis of children <18 years old admitted to a Virtual Pediatric Systems, LLC-participating PICU from January 2009 to December 2016 and underwent tracheostomy after cardiac arrest.

RESULTS

Among 394 index admissions, the median age was 16.8 months (interquartile range [IQR] 5.3-89.3), and Pediatric Risk of Mortality 3 scores (median 9 [IQR 4.75-16]) indicated severe illness. Baseline neurologic function was generally age appropriate (Pediatric Cerebral Performance Category score: median 2 [IQR 1-3]). The most common primary diagnosis categories were respiratory (31.0%), cardiac (21.6%), and injury and/or poisoning (18.3%). Post-tracheostomy mortality during the index admission was 9.3%. Among the 358 patients who survived to discharge, 334 had >180 days of available follow-up data. Two hundred and five (61.4%) patients were readmitted at least once for a total of 643 readmissions (range 0-30; median 1 [IQR 0-2]). We observed 0.54 readmissions per patient-year. The median time to first readmission was 50.3 days (IQR 12.8-173.7). Significant risk factors for readmission included a pre-existing diagnosis of chronic lung disease, congenital heart disease and/or heart failure, prematurity, and new seizures during the index admission. The most common indication for readmission was respiratory illness (46.2%). Mortality (3.3%) and procedural burden during readmission were consistent with general PICU care.

CONCLUSIONS

ICU readmission among children who undergo postarrest tracheostomy is common, usually due to respiratory causes, and involves outcomes and resource use similar to other ICU admissions. Risk factors for readmission are largely nonmodifiable.

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.

Outcomes of Children With Bronchiolitis Treated With High-Flow Nasal Cannula or Noninvasive Positive Pressure Ventilation

OBJECTIVES

Initial respiratory support with noninvasive positive pressure ventilation or high-flow nasal cannula may prevent the need for invasive mechanical ventilation in PICU patients with bronchiolitis. However, it is not clear whether the initial choice of respiratory support modality influences the need for subsequent invasive mechanical ventilation. The purpose of this study is to compare the rate of subsequent invasive mechanical ventilation after initial support with noninvasive positive pressure ventilation or high-flow nasal cannula in children with bronchiolitis.

DESIGN

Analysis of the Virtual Pediatric Systems database.

SETTING

Ninety-two participating PICUs.

PATIENTS

Children less than 2 years old admitted to a participating PICU between 2009 and 2015 with a diagnosis of bronchiolitis who were prescribed high-flow nasal cannula or noninvasive positive pressure ventilation as the initial respiratory treatment modality.

INTERVENTIONS

None. Subsequent receipt of invasive mechanical ventilation was the primary outcome.

MEASUREMENTS AND MAIN RESULTS

We identified 6,496 subjects with a median age 3.9 months (1.7-9.5 mo). Most (59.7%) were male, and 23.4% had an identified comorbidity. After initial support with noninvasive positive pressure ventilation or high-flow nasal cannula, 12.3% of patients subsequently received invasive mechanical ventilation. Invasive mechanical ventilation was more common in patients initially supported with noninvasive positive pressure ventilation compared with high-flow nasal cannula (20.1% vs 11.0%: p < 0.001). In a multivariate logistic regression model that adjusted for age, weight, race, viral etiology, presence of a comorbid diagnosis, and Pediatric Index of Mortality score, initial support with noninvasive positive pressure ventilation was associated with a higher odds of subsequent invasive mechanical ventilation compared with high-flow nasal cannula (odds ratio, 1.53; 95% CI, 1.24-1.88).

CONCLUSIONS

In this large, multicenter database study of infants with acute bronchiolitis that received initial respiratory support with high-flow nasal cannula or noninvasive positive pressure ventilation, noninvasive positive pressure ventilation use was associated with higher rates of invasive mechanical ventilation, even after adjusting for demographics, comorbid condition, and severity of illness. A large, prospective, multicenter trial is needed to confirm these findings.

Comparison of Methods for Identification of Pediatric Severe Sepsis and Septic Shock in the Virtual Pediatric Systems Database

OBJECTIVES

To compare the performance of three methods of identifying children with severe sepsis and septic shock from the Virtual Pediatric Systems database to prospective screening using consensus criteria.

DESIGN

Observational cohort study.

SETTING

Single-center PICU.

PATIENTS

Children admitted to the PICU in the period between March 1, 2012, and March 31, 2014.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

During the study period, all PICU patients were prospectively screened daily for sepsis, and those meeting consensus criteria for severe sepsis or septic shock on manual chart review were entered into the sepsis registry. Of 7,459 patients admitted to the PICU during the study period, 401 met consensus criteria for severe sepsis or septic shock (reference standard cohort). Within Virtual Pediatric Systems, patients identified using "Martin" (n = 970; κ = 0.43; positive predictive value = 34%; F1 = 0.48) and "Angus" International Classification of Diseases, 9th Edition, Clinical Modification codes (n = 1387; κ = 0.28; positive predictive value = 22%; F1 = 0.34) showed limited agreement with the reference standard cohort. By comparison, explicit International Classification of Diseases, 9th Edition, Clinical Modification codes for severe sepsis (995.92) and septic shock (785.52) identified a smaller, more accurate cohort of children (n = 515; κ = 0.61; positive predictive value = 57%; F1 = 0.64). PICU mortality was 8% in the reference standard cohort and the cohort identified by explicit codes; age, illness severity scores, and resource utilization did not differ between groups. Analysis of discrepancies between the reference standard and Virtual Pediatric Systems explicit codes revealed that prospective screening missed 66 patients with severe sepsis or septic shock. After including these patients in the reference standard cohort as an exploratory analysis, agreement between the cohort of patients identified by Virtual Pediatric Systems explicit codes and the reference standard cohort improved (κ = 0.73; positive predictive value = 70%; F1 = 0.75).

CONCLUSIONS

Children with severe sepsis and septic shock are best identified in the Virtual Pediatric Systems database using explicit diagnosis codes for severe sepsis and septic shock. The accuracy of these codes and level of clinical detail available in the Virtual Pediatric Systems database allow for sophisticated epidemiologic studies of pediatric severe sepsis and septic shock in this large, multicenter database.

Management guidelines for paediatric patients receiving chimeric antigen receptor T cell therapy

In 2017, an autologous chimeric antigen receptor (CAR) T cell therapy indicated for children and young adults with relapsed and/or refractory CD19+ acute lymphoblastic leukaemia became the first gene therapy to be approved in the USA. This innovative form of cellular immunotherapy has been associated with remarkable response rates but is also associated with unique and often severe toxicities, which can lead to rapid cardiorespiratory and/or neurological deterioration. Multidisciplinary medical vigilance and the requisite health-care infrastructure are imperative to ensuring optimal patient outcomes, especially as these therapies transition from research protocols to standard care. Herein, authors representing the Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) Network Hematopoietic Stem Cell Transplantation (HSCT) Subgroup and the MD Anderson Cancer Center CAR T Cell Therapy-Associated Toxicity (CARTOX) Program have collaborated to provide comprehensive consensus guidelines on the care of children receiving CAR T cell therapy.

Intensive care resources required to care for critically ill children with focal intracranial infections

The authors reviewed cases in which children with a focal infection inside the head (ex: a brain abscess) were cared for in their pediatric ICU to describe the frequency of complications and quantify the ICU resources needed (ex: breathing tube, blood pressure medications, and/or an intracranial pressure monitor). This information helps clarify illness severity and has identified complications that we should further investigate to improve care for these children.

Illness Severity of Children Admitted to the PICU From Referring Emergency Departments

OBJECTIVES

To compare patient factors and outcomes among children admitted to PICUs from referring versus children's hospital emergency departments (EDs).

METHODS

Pediatric patients (<19 years old) admitted to PICUs from referring and children's hospital EDs from July 1, 2011 to June 30, 2013. We compared demographic and clinical factors, including severity of illness as measured by a recalibrated Pediatric Index of Mortality, version 2 score.

RESULTS

Of 80 045 children from 109 PICUs, 35.6% were admitted from referring EDs and 64.4% were admitted from children's hospital EDs. Children from referring EDs had higher illness severity (Pediatric Index of Mortality, version 2-predicted risk of mortality, 3.1% vs 2.2%, P < .001), were more likely to be mechanically ventilated within their first hour in the PICU (28.4% vs 23.4%, P < .001), and had higher observed mortality (3.3% vs 2.1%, P < .001). Once adjusted for illness severity and other confounders in a multivariable logistic regression model, there was no difference in the odds of mortality between children from referring and children's hospital EDs (odds ratio: 0.90; 95% confidence interval: 0.79 to 1.02, P = .09) CONCLUSIONS: Children transferred to PICUs from referring EDs had higher illness severity on arrival compared with children admitted from children's hospital EDs. Variations in patient selection for transfer or pretransfer treatment at referring EDs may contribute to the greater illness severity of transferred children. Referring hospitals may benefit from leveraging existing resources to improve patient stabilization before transfer.

Effect of the Procalcitonin Assay on Antibiotic Use in Critically Ill Children

We retrospectively studied the effect of introducing procalcitonin into clinical practice on antibiotic use within a large academic pediatric intensive care unit. In the absence of a standardized algorithm, availability of the procalcitonin assay did not reduce the frequency of antibiotic initiations or the continuation of antibiotics for greater than 72 hours.

Pediatric admissions that include intensive care: a population-based study

Background

Pediatric admissions to intensive care outside children’s hospitals are generally excluded from registry-based studies. This study compares pediatric admission to specialist pediatric intensive care units (PICU) with pediatric admissions to intensive care units (ICU) in general hospitals in an Australian population.

Methods

We undertook a population-based record linkage cohort study utilizing longitudinally-linked hospital and death data for pediatric hospitalization from New South Wales, Australia, 2010–2013. The study population included all new pediatric, post-neonatal hospital admissions that included time in ICU (excluding neonatal ICU).

Results

Of 498,466 pediatric hospitalizations, 7525 (1.5%) included time in an intensive care unit – 93.7% to PICU and 6.3% to ICU in a general (non-PICU) hospital. Non-PICU admissions were of older children, in rural areas, with shorter stays in ICU, more likely admitted for acute conditions such as asthma, injury or diabetes, and less likely to have chronic conditions, receive continuous ventilatory support, blood transfusion, parenteral nutrition or die.

Conclusions

A substantial proportion of children are admitted to ICUs in general hospitals. A comprehensive overview of pediatric ICU admissions includes these admissions and the context of the total hospitalization.

Improving Long-Term Outcomes After Extracorporeal Membrane Oxygenation: From Observational Follow-Up Programs Toward Risk Stratification

Since the introduction of extracorporeal membrane oxygenation (ECMO), more neonates and children with cardiorespiratory failure survive. Interest has therefore shifted from reduction of mortality toward evaluation of long-term outcomes and prevention of morbidity. This review addresses the changes in ECMO population and the ECMO-treatment that may affect long-term outcomes, the diagnostic modalities to evaluate neurological morbidities and their contributions to prognostication of long-term outcomes. Most follow-up data have only become available from observational follow-up programs in neonatal ECMO-survivors. The main topics are discussed in this review. Recommendations for long-term follow up depend on the presence of neurological comorbidity, the nature and extent of the underlying disease, and the indication for ECMO. Follow up should preferably be offered as standard of care, and in an interdisciplinary, structured and standardized way. This permits evaluation of outcome data and effect of interventions. We propose a standardized approach and recommend that multiple domains should be evaluated during long-term follow up of neonates and children who needed extracorporeal life support.

A unique linkage of administrative and clinical registry databases to expand analytic possibilities in pediatric heart transplantation research

BACKGROUND

Large clinical, research, and administrative databases are increasingly utilized to facilitate pediatric heart transplant (HTx) research. Linking databases has proven to be a robust strategy across multiple disciplines to expand the possible analyses that can be performed while leveraging the strengths of each dataset. We describe a unique linkage of the Scientific Registry of Transplant Recipients (SRTR) database and the Pediatric Health Information System (PHIS) administrative database to provide a platform to assess resource utilization in pediatric HTx.

METHODS

All pediatric patients (1999-2016) who underwent HTx at a hospital enrolled in the PHIS database were identified. A linkage was performed between the SRTR and PHIS databases in a stepwise approach using indirect identifiers. To determine the feasibility of using these linked data to assess resource utilization, total and post-HTx hospital costs were assessed.

RESULTS

A total of 3188 unique transplants were identified as being present in both databases and amenable to linkage. Linkage of SRTR and PHIS data was successful in 3057 (95.9%) patients, of whom 2896 (90.8%) had complete cost data. Median total and post-HTx hospital costs were $518,906 (IQR $324,199-$889,738), and $334,490 (IQR $235,506-$498,803) respectively with significant differences based on patient demographics and clinical characteristics at HTx.

CONCLUSIONS

Linkage of the SRTR and PHIS databases is feasible and provides an invaluable tool to assess resource utilization. Our analysis provides contemporary cost data for pediatric HTx from the largest US sample reported to date. It also provides a platform for expanded analyses in the pediatric HTx population.

Coming full circle: thirty years of paediatric fluid resuscitation

Fluid bolus therapy (FBT) is a cornerstone of the management of the septic child, but clinical research in this field is challenging to perform, and hard to interpret. The evidence base for independent benefit from liberal FBT in the developed world is limited, and the Fluid Expansion as Supportive Therapy (FEAST) trial has led to conservative changes in the World Health Organization-recommended approach to FBT in resource-poor settings. Trials in the intensive care unit (ICU) and emergency department settings post-FEAST have continued to explore liberal FBT strategies as the norm, despite a strong signal associating fluid accumulation with pulmonary pathology in the paediatric population. Modern clinical trial methodology may ameliorate the traditional challenges of performing randomised interventional trials in critically ill children. Such trials could examine differing strategies of fluid resuscitation, or compare early FBT to early vasoactive agent use. Given the ubiquity of FBT and the potential for harm, appropriately powered examinations of the efficacy of FBT compared to alternative interventions in the paediatric emergency and ICU settings in the developed world appear justified and warranted.

Is Magnet® recognition associated with improved outcomes among critically ill children treated at freestanding children's hospitals?

PURPOSE

With increasing emphasis on high-quality care, we designed this study to evaluate the relationship between Magnet® recognition and patient outcomes in pediatric critical care.

MATERIALS AND METHODS

Post hoc analysis of data from an existing administrative national database. We used inverse probability of treatment weighting and multivariate models to compare outcomes between two study groups after adjusting for confounding variables.

RESULTS

A total of 823,634 pediatric patients from 41 centers were included. Of these, 454,616 patients (55.2%) were treated in 23 Magnet hospitals. The majority of baseline characteristics did not vary significantly among the two study groups. In adjusted models, there was no difference in mortality between the two groups (Magnet vs. non-Magnet; odds ratio: 0.92, 95% confidence interval: 0.77-1.11). When stratified by various subgroups, such as cardiac, non-cardiac, ECMO, cardiac arrest, respiratory failure, use of nitric oxide, genetic abnormality etc., Magnet status of the hospital did not confer a survival advantage. In a sensitivity analysis on patients from crossover hospitals only, attainment of magnet status was associated with increased hospital charges.

CONCLUSIONS

This large observational study calls into question the utility of the Magnet Recognition Program among children with critical illness, at least among the freestanding children's hospitals.

Quality Improvement Initiative to Reduce Pediatric Intensive Care Unit Noise Pollution With the Use of a Pediatric Delirium Bundle

OBJECTIVES:

Noise pollution in pediatric intensive care units (PICU) contributes to poor sleep and may increase risk of developing delirium. The Environmental Protection Agency (EPA) recommends <45 decibels (dB) in hospital environments. The objectives are to assess the degree of PICU noise pollution, to develop a delirium bundle targeted at reducing noise, and to assess the effect of the bundle on nocturnal noise pollution.

METHODS:

This is a QI initiative at an academic PICU. Thirty-five sound sensors were installed in patient bed spaces, hallways, and common areas. The pediatric delirium bundle was implemented in 8 pilot patients (40 patient ICU days) while 108 non-pilot patients received usual care over a 28-day period.

RESULTS:

A total of 20,609 hourly dB readings were collected. Hourly minimum, average, and maximum dB of all occupied bed spaces demonstrated medians [interquartile range] of 48.0 [39.0-53.0], 52.8 [48.1-56.2] and 67.0 [63.5-70.5] dB, respectively. Bed spaces were louder during the day (10AM to 4PM) than at night (11PM to 5AM) (53.5 [49.0-56.8] vs. 51.3 [46.0-55.3] dB, P < 0.01). Pilot patient rooms were significantly quieter than non-pilot patient rooms at night (n=210, 45.3 [39.7-55.9]) vs. n=1841, 51.2 [46.9-54.8] dB, P < 0.01). The pilot rooms compliant with the bundle had the lowest hourly nighttime average dB (44.1 [38.5-55.5]).

CONCLUSIONS:

Substantial noise pollution exists in our PICU, and utilizing the pediatric delirium bundle led to a significant noise reduction that can be perceived as half the loudness with hourly nighttime average dB meeting the EPA standards when compliant with the bundle.

Development and Prospective Validation of Tools to Accurately Identify Neurosurgical and Critical Care Events in Children With Traumatic Brain Injury

OBJECTIVE

To develop and validate case definitions (computable phenotypes) to accurately identify neurosurgical and critical care events in children with traumatic brain injury.

DESIGN

Prospective observational cohort study, May 2013 to September 2015.

SETTING

Two large U.S. children's hospitals with level 1 Pediatric Trauma Centers.

PATIENTS

One hundred seventy-four children less than 18 years old admitted to an ICU after traumatic brain injury.

MEASUREMENTS AND MAIN RESULTS

Prospective data were linked to database codes for each patient. The outcomes were prospectively identified acute traumatic brain injury, intracranial pressure monitor placement, craniotomy or craniectomy, vascular catheter placement, invasive mechanical ventilation, and new gastrostomy tube or tracheostomy placement. Candidate predictors were database codes present in administrative, billing, or trauma registry data. For each clinical event, we developed and validated penalized regression and Boolean classifiers (models to identify clinical events that take database codes as predictors). We externally validated the best model for each clinical event. The primary model performance measure was accuracy, the percent of test patients correctly classified. The cohort included 174 children who required ICU admission after traumatic brain injury. Simple Boolean classifiers were greater than or equal to 94% accurate for seven of nine clinical diagnoses and events. For central venous catheter placement, no classifier achieved 90% accuracy. Classifier accuracy was dependent on available data fields. Five of nine classifiers were acceptably accurate using only administrative data but three required trauma registry fields and two required billing data.

CONCLUSIONS

In children with traumatic brain injury, computable phenotypes based on simple Boolean classifiers were highly accurate for most neurosurgical and critical care diagnoses and events. The computable phenotypes we developed and validated can be used in any observational study of children with traumatic brain injury and can reasonably be applied in studies of these interventions in other patient populations.

Strategic Planning for Research in Pediatric Critical Care

OBJECTIVE

To summarize the scientific priorities and potential future research directions for pediatric critical care research discussed by a panel of experts at the inaugural Strategic Planning Conference of the Pediatric Trauma and Critical Illness Branch of the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

DATA SOURCES

Expert opinion expressed during the Strategic Planning Conference.

STUDY SELECTION

Not applicable.

DATA EXTRACTION

Chaired by an experienced expert from the field, issues relevant to the conduct of pediatric critical care research were discussed and debated by the invited participants.

DATA SYNTHESIS

Common themes and suggested priorities were identified and coalesced.

CONCLUSIONS

Of the many pathophysiologic conditions discussed, the multiple organ dysfunction syndrome emerged as a topic in need of more study that is most relevant to the field. Additionally, the experts offered that the interrelationship and impact of critical illness on child development and family functioning are important research priorities. Consequently, long-term outcomes research was encouraged. The expert group also suggested that multidisciplinary conferences are needed to help identify key knowledge gaps to advance and direct research in the field. The Pediatric Critical Care and Trauma Scientist Development National K12 Program and the Collaborative Pediatric Critical Care Research Network were recognized as successful and important programs supported by the branch. The development of core data resources including biorepositories with robust phenotypic data using common data elements was also suggested to foster data sharing among investigators and to enhance disease diagnosis and discovery. Multicenter clinical trials and innovative study designs to address understudied and poorly understood conditions were considered important for field advancement. Finally, the growth of the pediatric critical care research workforce was offered as a priority that could be spawned in many ways including by expanded transdisciplinary and multiprofessional collaboration and diversity representation.

Impact of Telemedicine on Severity of Illness and Outcomes Among Children Transferred From Referring Emergency Departments to a Children's Hospital PICU

OBJECTIVES

To compare the severity of illness and outcomes among children admitted to a children's hospital PICU from referring emergency departments with and without access to a pediatric critical care telemedicine program.

DESIGN

Retrospective cohort study.

SETTING

Tertiary academic children's hospital PICU.

PATIENTS

Pediatric patients admitted directly to the PICU from referring emergency departments between 2010 and 2014.

INTERVENTIONS

None.

MEASUREMENTS

Demographic factors, severity of illness, and clinical outcomes among children receiving care in emergency departments with and without access to pediatric telemedicine, as well as a subcohort of children admitted from emergency departments before and after the implementation of telemedicine.

MAIN RESULTS

Five hundred eighty-two patients from 15 emergency departments with telemedicine and 524 patients from 60 emergency departments without telemedicine were transferred and admitted to the PICU. Children admitted from emergency departments using telemedicine were younger (5.6 vs 6.9 yr; p< 0.001) and less sick (Pediatric Risk of Mortality III score, 3.2 vs 4.0; p < 0.05) at admission to the PICU compared with children admitted from emergency departments without telemedicine. Among transfers from emergency departments that established telemedicine programs during the study period, children arrived significantly less sick (mean Pediatric Risk of Mortality III scores, 1.2 units lower; p = 0.03) after the implementation of telemedicine (n = 43) than before the implementation of telemedicine (n = 95). The observed-to-expected mortality ratios of posttelemedicine, pretelemedicine, and no-telemedicine cohorts were 0.81 (95% CI, 0.53-1.09), 1.07 (95% CI, 0.53-1.60), and 1.02 (95% CI, 0.71-1.33), respectively.

CONCLUSIONS

The implementation of a telemedicine program designed to assist in the care of seriously ill children receiving care in referring emergency departments was associated with lower illness severity at admission to the PICU. This study contributes to the body of evidence that pediatric critical care telemedicine programs assist referring emergency departments in the care of critically ill children and could result in improved clinical outcomes.

Research as a Standard of Care in the PICU

OBJECTIVES

Excellence in clinical care coupled with basic and applied research reflects the maturation of a medical subspecialty, advances that field, and provides objective data for identifying best practices. PICUs are uniquely suited for conducting translational and clinical research. In addition, multiple investigations have reported that a majority of parents are interested in their children's participation in clinical research, even when the research offers no direct benefit to their child. However, such activity may generate ethical conflict with bedside care providers trying to acutely identify the best approach for an individual critically ill child. Ultimately, this conflict may diminish enthusiasm for the generation of scientific evidence that supports the application of evidence-based medicine into PICU clinical standard work. Accordingly this review endeavors to provide an overview of current state PICU clinical research strengths, liabilities, opportunities, and barriers and contrast this with an established pediatric hematology-oncology iterative research model that constitutes a learning healthcare system.

DATA SOURCES, DATA EXTRACTION, AND DATA SYNTHESIS

Narrative review of medical literature published in English.

CONCLUSIONS

Currently, most PICU therapy is not evidence based. Developing a learning healthcare system in the PICU integrates clinical research into usual practice and fosters a culture of evidence-based learning and continual care improvement. As PICU mortality has significantly decreased, identification and validation of patient-centered, clinically relevant research outcome measures other than mortality is essential for future clinical trial design. Because most pediatric critical illness may be classified as rare diseases, participation in research networks will facilitate iterative, collaborative, multiinstitutional investigations that over time identify the best practices to improve PICU outcomes. Despite real ethical challenges, critically ill children and their families should have the opportunity to participate in translational/clinical research whenever feasible.

Pediatric Intensive Care Databases for Quality Improvement

The availability and breadth of collected data has grown exponentially in pediatric critical care medicine. This growth is driven by the practitioners' desire to understand and improve practice. In this manuscript, the author details the registry design factors that must be considered to meet quality improvement and safety needs in pediatric critical care units. The challenges to maintain a high standard database and data on health care delivery performances using the VPS registry data are provided.

Databases for Research in Pediatric Acute Respiratory Distress Syndrome

Problem Addressed Observational data, either previously existing or gathered specifically for research, provide exciting opportunities to understand practice variation, generate hypotheses, test the feasibility of future clinical trials, and perform comparative effectiveness research. Pediatric acute respiratory distress syndrome (PARDS) provides a prototypical example of a disease state where our science can be furthered by using observational data in the form of research databases. Investigational Approach Literature review. Results There are several key issues that are important to consider in the creation of PARDS databases to inform future research and answer comparative effectiveness questions. They surround (1) time-sensitive measurements mandating careful annotations of key variables, (2) explicit methodology for ventilator-related variables, (3) explicit data to calculate outcome measures, (4) granularity of data to handle dose-dependent questions, and (5) operational definitions of crucial comorbidities or other factors implicated in PARDS outcome. These areas must be explicitly handled in the ontologic framework of PARDS databases. Conclusions In summary, there are many opportunities to use existing data to further our knowledge of PARDS. However, the aggregation of these data from previous studies, future studies, or existing electronic health care records must be done with careful consideration that the variables and data annotations are of adequate granularity and specificity to answer the questions we want to ask.

Retrospective Evaluation of the Epidemiology and Practice Variation of Dexmedetomidine Use in Invasively Ventilated Pediatric Intensive Care Admissions, 2007-2013

OBJECTIVES

The study assessed dexmedetomidine utilization and practice variation over time in ventilated pediatric intensive care unit (PICU) patients; and evaluated differences in hospital outcomes between high- and low-dexmedetomidine utilization hospitals.

STUDY DESIGN

This serial cross-sectional analysis used administrative data from PICU admissions in the pediatric health information system (37 US tertiary care pediatric hospitals). Included admissions from 2007 to 2013 had simultaneous dexmedetomidine and invasive mechanical ventilation charges, <18 years of age, excluding neonates. Patient and hospital characteristics were compared as well as hospital-level severity-adjusted indexed length of stay (LOS), charges, and mortality.

RESULTS

The utilization of dexmedetomidine increased from 6.2 to 38.2 per 100 ventilated PICU patients among pediatric hospitals. Utilization ranged from 3.8 to 62.8 per 100 in 2013. Few differences in patient demographics and no differences in hospital-level volume/severity of illness measures between high- and low-utilization hospitals occurred. No differences in hospital-level, severity-adjusted indexed outcomes (LOS, charges, and mortality) were found.

CONCLUSION

Wide practice variation in utilization of dexmedetomidine for ventilated PICU patients existed even as use has increased sixfold. Higher utilization was not associated with increased hospital charges or reduced hospital LOS. Further work should define the expected outcome benefits of dexmedetomidine and its appropriate use.