The Burden of Stroke in Neonates Undergoing Congenital Heart Surgery: A Large Multicenter Analysis.

BACKGROUND: Stroke affects surgical decision making and outcomes of neonatal cardiac surgery(CHS). We sought to assess the burden of stroke in this population from a large multi-center database. METHODS: We analyzed neonates undergoing CHS with cardiopulmonary bypass from the Pediatric Health Information System database(2004-2022). The cohort was divided into stroke-group which included pre/post-op ischemic, hemorrhagic-subtypes and grade III-IV intraventricular hemorrhages and compared in-hospital and follow-up outcomes to non-stroke group. RESULTS: Of 14,228 neonates, 800(5.6%) had a peri-operative stroke. Stroke-group was more likely to have hypoplastic left-heart syndrome (HLHS)(30.5% vs 20.7%), born pre-term(19.4% vs 11.7%), low-birthweight(17.8% vs 11.9%) and require ECMO(48.8% vs 13.8%)(all, p<0.001). Outcomes comparing stroke vs no-stroke were, mortality:33.1% vs 8.9%, non-home discharge:12.5% vs 6.9%, length of stay:41 vs 24 days, hospitalization-costs:$354,521 vs $180,489(all, p<0.05). Stroke increased odds of mortality by two-fold[OR 2.20(1.75-2.77), p<0.001] after adjusting for ECMO, prematurity among other significant factors. On follow-up, stroke-group had higher incidence of hydrocephalus(9.5% vs 1.3%), cerebral palsy (6.2% vs 1.3%), autism spectrum disorder(7.1% vs 3.5%) and had higher one- and five- year mortality among survivors of index admission(5.3% and 11.3% vs 3.3% and 5.9%, respectively) (all p<0.05). CONCLUSIONS: Neonatal CHS patients born prematurely, diagnosed with HLHS or those requiring ECMO are disproportionately affected by stroke. The occurrence of stroke is marked by significantly higher mortality. Future research should seek to identify factors leading to stroke, in order to increase rescue after stroke and for improvement of long-term outcomes.

Assessing enrollment of eligible infants in the national pediatric cardiology quality improvement collaborative (NPC-QIC) through linkage to the pediatric cardiac critical care consortium (PC4) registry.

BACKGROUND: The National Pediatric Cardiology Quality Improvement Collaborative (NPC-QIC) lacks a rigorous enrollment audit process, unlike other collaborative networks. Most centers require individual families to consent to participate. It is unknown whether there is variation across centers or biases in enrollment. METHODS: We used the Pediatric Cardiac Critical Care Consortium (PC4) registry to assess enrollment rates in NPC-QIC for those centers participating in both registries using indirect identifiers (date of birth, date of admission, gender, and center) to match patient records. All infants born 1/1/2018-12/31/2020 and admitted 30 days of life were eligible. In PC4, all infants with a fundamental diagnosis of hypoplastic left heart or variant or who underwent a surgical or hybrid Norwood or variant were eligible. Standard descriptive statistics were used to describe the cohort and center match rates were plotted on a funnel chart. RESULTS: Of 898 eligible NPC-QIC patients, 841 were linked to 1,114 eligible PC4 patients (match rate 75.5%) in 32 centers. Match rates were lower in patients of Hispanic/Latino ethnicity (66.1%, p = 0.005), and those with any specified chromosomal abnormality (57.4%, p = 0.002), noncardiac abnormality (67.8%, p = 0.005), or any specified syndrome (66.5%, p = 0.001). Match rates were lower for patients who transferred to another hospital or died prior to discharge. Match rates varied from 0 to 100% across centers. CONCLUSIONS: It is feasible to match patients between the NPC-QIC and PC4 registries. Variation in match rates suggests opportunities for improvement in NPC-QIC patient enrollment.

Development of the data registry for the Cardiac Neurodevelopmental Outcome Collaborative.

Children with congenital heart disease (CHD) can face neurodevelopmental, psychological, and behavioural difficulties beginning in infancy and continuing through adulthood. Despite overall improvements in medical care and a growing focus on neurodevelopmental screening and evaluation in recent years, neurodevelopmental disabilities, delays, and deficits remain a concern. The Cardiac Neurodevelopmental Outcome Collaborative was founded in 2016 with the goal of improving neurodevelopmental outcomes for individuals with CHD and pediatric heart disease. This paper describes the establishment of a centralised clinical data registry to standardize data collection across member institutions of the Cardiac Neurodevelopmental Outcome Collaborative. The goal of this registry is to foster collaboration for large, multi-centre research and quality improvement initiatives that will benefit individuals and families with CHD and improve their quality of life. We describe the components of the registry, initial research projects proposed using data from the registry, and lessons learned in the development of the registry.

Initiative to increase family presence and participation in daily rounds on a paediatric acute care cardiology unit.

INTRODUCTION: Family-centred rounds benefit families and clinicians and improve outcomes in general paediatrics, but are understudied in subspecialty settings. We sought to improve family presence and participation in rounds in a paediatric acute care cardiology unit. METHODS: We created operational definitions for family presence, our process measure, and participation, our outcome measure, and gathered baseline data over 4 months of 2021. Our SMART aim was to increase mean family presence from 43 to 75% and mean family participation from 81 to 90% by 30 May, 2022. We tested interventions with iterative plan-do-study-act cycles between 6 January, 2022 and 20 May, 2022, including provider education, calling families not at bedside, and adjustment to rounding presentations. We visualised change over time relative to interventions with statistical control charts. We conducted a high census days subanalysis. Length of stay and time of transfer from the ICU served as balancing measures. RESULTS: Mean presence increased from 43 to 83%, demonstrating special cause variation twice. Mean participation increased from 81 to 96%, demonstrating special cause variation once. Mean presence and participation were lower during high census (61 and 93% at project end) but improved with special cause variation. Length of stay and time of transfer remained stable. CONCLUSIONS: Through our interventions, family presence and participation in rounds improved without apparent unintended consequences. Family presence and participation may improve family and staff experience and outcomes; future research is warranted to evaluate this. Development of high level of reliability interventions may further improve family presence and participation, particularly on high census days.

Contemporary Care and Outcomes of Critically-ill Children With Clinically Diagnosed Myocarditis.

PURPOSE: To describe contemporary management and outcomes in children with myocarditis who are admitted to a cardiac intensive care unit (CICU) and to identify the characteristics associated with mortality. METHODS: All patients in the Pediatric Cardiac Critical Care Consortium (PC4) registry between August 2014 and June 2021 who were diagnosed with myocarditis were included. Univariable analyses and multivariable logistic regression evaluated the factors associated with in-hospital mortality. RESULTS: There were 847 CICU admissions for myocarditis in 51 centers. The median age was 12 years (IQR 2.7-16). In-hospital mortality occurred in 53 patients (6.3%), and 60 (7.1%) had cardiac arrest during admission. Mechanical ventilation was required in 339 patients (40%), and mechanical circulatory support (MCS) in 177 (21%); extracorporeal membrane oxygenation (ECMO)-only in 142 (16.7%), ECMO-to-ventricular assist device (VAD) in 20 (2.4%), extracorporeal cardiac resuscitation in 43 (5%), and VAD-only in 15 (1.8%) patients. MCS was associated with in-hospital mortality; 20.3% receiving MCS died compared to 2.5% without MCS (P < 0.001). Mortality rates were similar in ECMO-only, ECMO-to-VAD and VAD-only groups. The median time from CICU admission to ECMO was 2.0 hours (IQR 0-9.4) and to VAD, it was 9.9 days (IQR 6.3-16.8). Time to MCS was not associated with mortality. In multivariable modeling of patients' characteristics, smaller body surface area (BSA) and low eGFR were independently associated with mortality, and after including critical therapies, mechanical ventilation and ECMO were independent predictors of mortality. CONCLUSION: This contemporary cohort of children admitted to CICUs with myocarditis commonly received high-resource therapies; however, most patients survived to hospital discharge and rarely received VAD. Smaller patient size, acute kidney injury and receipt of mechanical ventilation or ECMO were independently associated with mortality.

Hospital ECMO capability is associated with survival in pediatric cardiac arrest.

AIM: Extracorporeal membrane oxygenation (ECMO) provides temporary support in severe cardiac or respiratory failure and can be deployed in children who suffer cardiac arrest. However, it is unknown if a hospital's ECMO capability is associated with better outcomes in cardiac arrest. We evaluated the association between pediatric cardiac arrest survival and the availability of pediatric extracorporeal membrane oxygenation (ECMO) at the treating hospital. METHODS: We identified cardiac arrest hospitalizations, including in- and out-of-hospital, in children (0-18 years old) using data from the Health Care Utilization Project (HCUP) National Inpatient Sample (NIS) between 2016 and 2018. The primary outcome was in-hospital survival. Hierarchical logistic regression models were built to test the association between hospital ECMO capability and in-hospital survival. RESULTS: We identified 1276 cardiac arrest hospitalizations. Survival of the cohort was 44%; 50% at ECMO-capable hospitals and 32% at non-ECMO hospitals. After adjusting for patient-level factors and hospital factors, receipt of care at an ECMO- capable hospital was associated with higher in-hospital survival, with an odds ratio of 1.49 [95% CI 1.09, 2.02]. Patients who received treatment at ECMO-capable hospitals were younger (median 3 years vs 11 years, p < 0.001) and more likely to have a complex chronic condition, specifically congenital heart disease. A total of 10.9% (88/811) of patients at ECMO-capable hospitals received ECMO support. CONCLUSION: A hospital's ECMO capability was associated with higher in-hospital survival among children suffering cardiac arrest in this analysis of a large United States administrative dataset. Future work to understand care delivery differences and other organizational factors in pediatric cardiac arrest is necessary to improve outcomes.

Does Compliance with Resuscitation Practice Guidelines Differ Between Pediatric Intensive Care Units and Cardiac Intensive Care Units?

Objective: Hospitalized children with cardiac disease have the highest rate of cardiac arrest compared to other disease types. Different intensive care unit (ICU) models exist, but it remains unknown whether resuscitation guideline adherence is different between cardiac ICUs (CICU) and general pediatric ICUs (PICU). We hypothesize there is no difference in resuscitation practices between unit types. Design: Retrospective observational study. Setting: The American Heart Association's Get With The Guidelines®-Resuscitation (GWTG-R) registry. Patients: Children < 18 years old with medical or surgical cardiac disease who had cardiopulmonary arrest from 2014 to 2018. Intervention: None. Measurements and Main Results: Events were assessed for compliance with GWTG-R achievement measures of time to first chest compressions ≤ 1 min, time to intravenous/intraosseous epinephrine ≤ 5 min, time to first shock ≤ 2 min for ventricular fibrillation (VF)/pulseless ventricular tachycardia (VT), and confirmation of endotracheal tube placement. Additional practices were evaluated for consistency with Pediatric Advanced Life Support (PALS) recommendations. Eight hundred and eighty-six patients were evaluated, 687 (79%) in CICUs and 179 (21%) in PICUs. 484 (56%) had surgical cardiac disease. There were no differences in GWTG-R achievement measures or PALS recommendations between ICU types in univariable or multivariable models. Amiodarone, lidocaine, and nonstandard medication use did not differ by unit type. Extracorporeal cardiopulmonary resuscitation (ECPR) was more common in CICUs for both medical (16% vs 7%) and surgical (25% vs 2.5%) categories (P < .0001). Conclusions: Resuscitation compliance for patients with cardiac disease is similar between CICUs and PICUs. Patients were more likely to receive ECPR in CICUs. Additional study should evaluate how ICU type affects arrest outcomes in children with cardiac disease.

Methods to Enhance Causal Inference for Assessing Impact of Clinical Informatics Platform Implementation.

BACKGROUND: Hospitals are increasingly likely to implement clinical informatics tools to improve quality of care, necessitating rigorous approaches to evaluate effectiveness. We leveraged a multi-institutional data repository and applied causal inference methods to assess implementation of a commercial data visualization software in our pediatric cardiac intensive care unit. METHODS: Natural experiment in the University of Michigan (UM) Cardiac Intensive Care Unit pre and postimplementation of data visualization software analyzed within the Pediatric Cardiac Critical Care Consortium clinical registry; we identified N=21 control hospitals that contributed contemporaneous registry data during the study period. We used the platform during multiple daily rounds to visualize clinical data trends. We evaluated outcomes-case-mix adjusted postoperative mortality, cardiac arrest and unplanned readmission rates, and postoperative length of stay-most likely impacted by this change. There were no quality improvement initiatives focused specifically on these outcomes nor any organizational changes at UM in either era. We performed a difference-in-differences analysis to compare changes in UM outcomes to those at control hospitals across the pre versus postimplementation eras. RESULTS: We compared 1436 pre versus 779 postimplementation admissions at UM to 19 854 (pre) versus 14 160 (post) at controls. Admission characteristics were similar between eras. Postimplementation at UM we observed relative reductions in cardiac arrests among medical admissions, unplanned readmissions, and postoperative length of stay by -14%, -41%, and -18%, respectively. The difference-in-differences estimate for each outcome was statistically significant (P<0.05), suggesting the difference in outcomes at UM pre versus postimplementation is statistically significantly different from control hospitals during the same time. CONCLUSIONS: Clinical registries provide opportunities to thoroughly evaluate implementation of new informatics tools at single institutions. Borrowing strength from multi-institutional data and drawing ideas from causal inference, our analysis solidified greater belief in the effectiveness of this software across our institution.

Age at surgery and outcomes following neonatal cardiac surgery: An analysis from the Pediatric Cardiac Critical Care Consortium.

OBJECTIVE: The optimal timing for neonatal cardiac surgery is a potentially modifiable factor that may affect outcomes. We studied the relationship between age at surgery (AAS) and outcomes across multiple hospitals, focusing on neonatal operations where timing appears is not emergency. METHODS: We studied neonates ≥37 weeks' gestation and ≥2.5 kg admitted to a treating hospital on or before day of life 2 undergoing selected index cardiac operations. The impact of AAS on outcomes was evaluated across the entire cohort and a standard risk subgroup (ie, free of preoperative mechanical ventilation, mechanical circulatory support, or other organ failure). Outcomes included mortality, major morbidity (ie, cardiac arrest, mechanical circulatory support, unplanned cardiac reintervention, or neurologic complication), and postoperative cardiac intensive care unit and hospital length of stay. Post hoc analyses focused on operations undertaken between day of life 2 and 7. RESULTS: We studied 2536 neonates from 47 hospitals. AAS from day of life 2 through 7 was not associated with risk adjusted mortality or major morbidity among the entire cohort and the standard risk subgroup. Older AAS, although associated with modest increases in postoperative cardiac intensive care unit and hospital length of stay in the entire cohort, was not associated with hospital length of stay in the standard risk subgroup. CONCLUSIONS: Among select nonemergency neonatal cardiac operations, AAS between day of life 2 and 7 was not found to be associated with risk adjusted mortality or major morbidity. Although delays in surgical timing may modestly increase preoperative resource use, studies of AAS and outcomes not evident at the time of discharge are needed.

Operational Definitions Related to Pediatric Ventilator Liberation.

BACKGROUND: Common, operational definitions are crucial to assess interventions and outcomes related to pediatric mechanical ventilation. These definitions can reduce unnecessary variability among research and quality improvement efforts, to ensure findings are generalizable, and can be pooled to establish best practices. RESEARCH QUESTION: Can we establish operational definitions for key elements related to pediatric ventilator liberation using a combination of detailed literature review and consensus-based approaches? STUDY DESIGN AND METHODS: A panel of 26 international experts in pediatric ventilator liberation, two methodologists, and two librarians conducted systematic reviews on eight topic areas related to pediatric ventilator liberation. Through a series of virtual meetings, we established draft definitions that were voted upon using an anonymous web-based process. Definitions were revised by incorporating extracted data gathered during the systematic review and discussed in another consensus meeting. A second round of voting was conducted to confirm the final definitions. RESULTS: In eight topic areas identified by the experts, 16 preliminary definitions were established. Based on initial discussion and the first round of voting, modifications were suggested for 11 of the 16 definitions. There was significant variability in how these items were defined in the literature reviewed. The final round of voting achieved ≥ 80% agreement for all 16 definitions in the following areas: what constitutes respiratory support (invasive mechanical ventilation and noninvasive respiratory support), liberation and failed attempts to liberate from invasive mechanical ventilation, liberation from respiratory support, duration of noninvasive respiratory support, total duration of invasive mechanical ventilation, spontaneous breathing trials, extubation readiness testing, 28 ventilator-free days, and planned vs rescue use of post-extubation noninvasive respiratory support. INTERPRETATION: We propose that these consensus-based definitions for elements of pediatric ventilator liberation, informed by evidence, be used for future quality improvement initiatives and research studies to improve generalizability and facilitate comparison.

Executive Summary: International Clinical Practice Guidelines for Pediatric Ventilator Liberation, A Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) Network Document.

Rationale: Pediatric-specific ventilator liberation guidelines are lacking despite the many studies exploring elements of extubation readiness testing. The lack of clinical practice guidelines has led to significant and unnecessary variation in methods used to assess pediatric patients' readiness for extubation. Methods: Twenty-six international experts comprised a multiprofessional panel to establish pediatrics-specific ventilator liberation clinical practice guidelines, focusing on acutely hospitalized children receiving invasive mechanical ventilation for more than 24 hours. Eleven key questions were identified and first prioritized using the Modified Convergence of Opinion on Recommendations and Evidence. A systematic review was conducted for questions that did not meet an a priori threshold of ⩾80% agreement, with Grading of Recommendations, Assessment, Development, and Evaluation methodologies applied to develop the guidelines. The panel evaluated the evidence and drafted and voted on the recommendations. Measurements and Main Results: Three questions related to systematic screening using an extubation readiness testing bundle and a spontaneous breathing trial as part of the bundle met Modified Convergence of Opinion on Recommendations criteria of ⩾80% agreement. For the remaining eight questions, five systematic reviews yielded 12 recommendations related to the methods and duration of spontaneous breathing trials, measures of respiratory muscle strength, assessment of risk of postextubation upper airway obstruction and its prevention, use of postextubation noninvasive respiratory support, and sedation. Most recommendations were conditional and based on low to very low certainty of evidence. Conclusions: This clinical practice guideline provides a conceptual framework with evidence-based recommendations for best practices related to pediatric ventilator liberation.

Measuring Critical Care Unit Performance Using a Postoperative Mechanical Ventilation Quality Metric.

BACKGROUND: Safely minimizing postoperative mechanical ventilation duration after congenital heart surgery could be a cardiac intensive care unit (CICU) quality measure. We aimed to measure CICU performance using duration of postoperative mechanical ventilation and identify organizational factors associated with this metric. METHODS: Observational analysis of 16,848 surgical hospitalizations of patients invasively ventilated on admission from the operating room from 26 Pediatric Cardiac Critical Care Consortium CICUs. We fitted a multivariable model to predict duration of postoperative mechanical ventilation adjusting for pre- and postoperative factors to measure CICU performance accounting for postoperative illness severity. We used our model to calculate observed-to-expected (adjusted) ventilation duration ratios for each CICU, describe variation across CICUs, and characterize outliers based on bias-corrected bootstrap 95% CIs. We explored associations between organizational characteristics and patient-level adjusted ventilation duration by adding these as independent variables to the model. RESULTS: We observed wide variation across CICUs in adjusted ventilation duration ratios, ranging from 0.7 to 1.7. Nine of 26 CICUs had statistically better than expected ventilation duration, while 10 were significantly worse than expected. Organizational characteristics associated with shorter adjusted ventilation duration included mixed (60%-90%) staffing by critical care or anesthesia-trained attendings, lower average attending-to-patient ratio, average CICU daily occupancy 80% to 90%, and greater nurse staffing ratios and experience. CONCLUSIONS: CICU performance in postoperative duration of mechanical ventilation varies widely across Pediatric Cardiac Critical Care Consortium centers. Several potentially modifiable organizational factors are associated with this metric. Taken together, these findings could spur efforts to improve ventilation duration at outlier hospitals.

Impact of tight glycemic control and hypoglycemia after pediatric cardiac surgery on neurodevelopmental outcomes at three years of age: Findings from a randomized clinical trial.

BACKGROUND: Studies examining the impact of randomization As per standard instruction, city is required for affiliations; however, this information is missing in affiliation 6. Please check if the provided city is correct and amend if necessary. to tight glycemic control (TGC) and resultant hypoglycemia on later neurodevelopmental outcomes have produced mixed results. Our study examined this association in children undergoing cardiac surgery. METHODS: Participants who were enrolled in the Safe Pediatric Euglycemia after Cardiac Surgery (SPECS) trial returned for neurodevelopmental (ND) follow-up between 30 to 42.5 months of age. ND outcomes were assessed using the Bayley Scales of Infant and Toddler Development, Third Edition. ND scores were compared between the TGC and standard care treatment groups and between patients with moderate to severe and no to mild hypoglycemia. As a secondary analysis, to increase sample size and power, we combined the three-year-old assessments with previously collected assessments done at < 30 months of age to further examine differences between groups longitudinally. RESULTS: Among the 269 participants who completed neurodevelopmental evaluation (in-person testing or questionnaires) at three years of age (follow-up rate, 31%), there were no statistically significant differences in ND outcomes according to treatment group or hypoglycemia status. In the combined analysis of all evaluations (from 9 to 42.5 months of age), we found no treatment group differences. However, in these longitudinal analyses, children who experienced moderate to severe hypoglycemia had lower scores on the Bayley-III cognitive and motor domains compared to children with no to mild hypoglycemia. CONCLUSIONS: For infants undergoing cardiac surgery, there was no impact of tight glycemic control on neurodevelopmental outcomes. Moderate to severe hypoglycemia was associated with worse ND outcomes in longitudinal analyses. TRIAL REGISTRATION: ClinicalTrials.gov NCT00443599. Registered: November 2016.

Preventing Cardiac Arrest in the Pediatric Cardiac Intensive Care Unit Through Multicenter Collaboration.

Importance: Preventing in-hospital cardiac arrest (IHCA) likely represents an effective strategy to improve outcomes for critically ill patients, but feasibility of IHCA prevention remains unclear. Objective: To determine whether a low-technology cardiac arrest prevention (CAP) practice bundle decreases IHCA rate. Design, Setting, and Participants: Pediatric cardiac intensive care unit (CICU) teams from the Pediatric Cardiac Critical Care Consortium (PC4) formed a collaborative learning network to implement the CAP bundle consistent with the Institute for Healthcare Improvement framework; 15 hospitals implemented the bundle voluntarily. Risk-adjusted IHCA incidence rates were analyzed across 2 time periods, 12 months (baseline) and 18 months after CAP implementation (intervention) using difference-in-differences (DID) regression to compare 15 CAP and 16 control PC4 hospitals that chose not to participate in CAP but had IHCA rates tracked in the PC4 registry. Patients deemed at high risk for IHCA, based on a priori evidence-based criteria and empirical hospital-specific criteria, were selected to receive the CAP bundle. Data were collected from July 2018 to December 2019, and data were analyzed from March to August 2020. Interventions: CAP bundle included 5 elements developed to promote increased situational awareness and communication among bedside clinicians to recognize and mitigate deterioration in high-risk patients. Main Outcomes and Measures: Risk-adjusted IHCA incidence rate across all CICU admissions (IHCA events divided by all admissions). Results: The bundle was activated in 2664 of 10 510 CAP hospital admissions (25.3%); admission characteristics were similar across study periods. There was a 30% relative reduction in risk-adjusted IHCA incidence rate at CAP hospitals (intervention period: 2.6%; 95% CI, 2.2-2.9; baseline: 3.7%; 95% CI, 3.1-4.0), but no change at control hospitals (intervention period: 2.7%; 95% CI, 2.3-2.9; baseline: 2.7%; 95% CI, 2.2-3.0). DID analysis confirmed significantly reduced odds of IHCA among all admissions at CAP hospitals compared with control hospitals during the intervention period vs baseline (odds ratio, 0.72; 95% CI, 0.56-0.91; P = .01). DID odds ratios were 0.72 (95% CI, 0.53-0.98) for the surgical subgroup, 0.74 (95% CI, 0.48-1.14) for the medical subgroup, and 0.72 (95% CI, 0.50-1.03) for the high-risk admission subgroup at CAP hospitals after intervention. All-cause risk-adjusted mortality rate did not change after intervention. Conclusions and Relevance: Implementation of this CAP bundle led to significant IHCA reduction across multiple pediatric CICUs. Future studies may determine if this bundle can be effective in other critically ill populations.

Fluid Accumulation After Neonatal Congenital Cardiac Operation: Clinical Implications and Outcomes.

BACKGROUND: This study was conducted to determine the association between fluid balance metrics and mortality and other postoperative outcomes after neonatal cardiac operation in a contemporary multicenter cohort. METHODS: This was an observational cohort study across 22 hospitals in neonates (≤30 days) undergoing cardiac operation. We explored overall percentage fluid overload, postoperative day 1 percentage fluid overload, peak percentage fluid overload, and time to first negative daily fluid balance. The primary outcome was in-hospital mortality. Secondary outcomes included postoperative duration of mechanical ventilation and intensive care unit (ICU) and hospital length of stay. Multivariable logistic or negative binomial regression was used to determine independent associations between fluid overload variables and each outcome. RESULTS: The cohort included 2223 patients. In-hospital mortality was 3.9% (n = 87). Overall median peak percentage fluid overload was 4.9% (interquartile range, 0.4%-10.5%). Peak percentage fluid overload and postoperative day 1 percentage fluid overload were not associated with primary or secondary outcomes. Hospital resource utilization increased on each successive day of not achieving a first negative daily fluid balance and was characterized by longer duration of mechanical ventilation (incidence rate ratio, 1.11; 95% CI, 1.08-1.14), ICU length of stay (incidence rate ratio, 1.08; 95% CI, 1.03-1.12), and hospital length of stay (incidence rate ratio, 1.09; 95% CI, 1.05-1.13). CONCLUSIONS: Time to first negative daily fluid balance, but not percentage fluid overload, is associated with improved postoperative outcomes in neonates after cardiac operation. Specific treatments to achieve an early negative fluid balance may decrease postoperative care durations.

Critical Care Unit Organizational and Personnel Factors Impact Cardiac Arrest Prevention and Rescue in the Pediatric Cardiac Population.

OBJECTIVES: Patient-level factors related to cardiac arrest in the pediatric cardiac population are well understood but may be unmodifiable. The impact of cardiac ICU organizational and personnel factors on cardiac arrest rates and outcomes remains unknown. We sought to better understand the association between these potentially modifiable organizational and personnel factors on cardiac arrest prevention and rescue. DESIGN: Retrospective analysis of the Pediatric Cardiac Critical Care Consortium registry. SETTING: Pediatric cardiac ICUs. PATIENTS: All cardiac ICU admissions were evaluated for cardiac arrest and survival outcomes. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Successful prevention was defined as the proportion of admissions with no cardiac arrest (inverse of cardiac arrest incidence). Rescue was the proportion of patients surviving to cardiac ICU discharge after cardiac arrest. Cardiac ICU organizational and personnel factors were captured via site questionnaires. The associations between organizational and personnel factors and prevention/rescue were analyzed using Fine-Gray and multinomial regression, respectively, accounting for clustering within hospitals. We analyzed 54,521 cardiac ICU admissions (29 hospitals) with 1,398 cardiac arrest events (2.5%) between August 1, 2014, and March 5, 2019. For both surgical and medical admissions, lower average daily cardiac ICU occupancy was associated with better cardiac arrest prevention. Better rescue for medical admissions was observed for higher registered nursing hours per patient day and lower proportions of "part time" cardiac ICU physician staff (< 6 service weeks/yr). Increased registered nurse experience was associated with better rescue for surgical admissions. Increased proportion of critical care certified nurses, full-time intensivists with critical care fellowship training, dedicated respiratory therapists, quality/safety resources, and annual cardiac ICU admission volume were not associated with improved prevention or rescue. CONCLUSIONS: Our multi-institutional analysis identified cardiac ICU bed occupancy, registered nurse experience, and physician staffing as potentially important factors associated with cardiac arrest prevention and rescue. Recognizing the limitations of measuring these variables cross-sectionally, additional studies are needed to further investigate these organizational and personnel factors, their interrelationships, and how hospitals can modify structure to improve cardiac arrest outcomes.

Oral Aversion in Infants With Congenital Heart Disease: A Single-Center Retrospective Cohort Study.

OBJECTIVES: Neonates undergoing cardiac surgery are at risk for oral aversion (OA). OA is not well described outside of the index hospitalization and impacts patients and families. We evaluated the prevalence of OA at 1 year old after neonatal cardiopulmonary bypass (CPB) surgery. DESIGN: Retrospective cohort study. SETTING: Single quaternary care hospital. SUBJECTS: Our cohort included 157 neonates who underwent CPB surgery from 2014 to 2017 and had follow-up data available at 1 year old. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Three feeding experts reviewed the medical record to define children with OA; 30% of charts were evaluated in triplicate for validation. Neonates with and without OA were compared in univariate analysis, and risk factors for OA were explored in a limited multivariable analysis. OA was present at 1 year in 37 patients (23.6%) and other feeding difficulties were present in an additional 29 patients (18.5%). Thirty-eight patients (24.2%) had a feeding tube, including 12 (7.6%) with a gastrostomy tube. Factors associated with OA at 1 year included total ICU days, duration of mechanical ventilation, total number of nil per os days, and number of postoperative days (PODs) until oral feeding initiation (all p < 0.0001). Number of POD until oral feeding initiation remained independently associated with OA at 1 year in multivariable analysis (adjusted odds ratio, 1.08; 95% CI, 1.04-1.12; p < 0.0001). Infants with any oral intake at discharge had lower odds of OA at 1 year (0.21; 95% CI, 0.08-0.5; p = 0.0003). At hospital discharge, 132 patients (84.1%) were taking some oral feeds, and 128 patients (81.5%) received tube feeding. CONCLUSIONS: OA and other feeding difficulties are common at 1 year old in neonates undergoing CPB surgery. Delayed exposure to oral intake may be a modifiable risk factor for OA and efforts to improve early oral feeding could lead to better functional outcomes.

Assessing data accuracy in a large multi-institutional quality improvement registry: an update from the Pediatric Cardiac Critical Care Consortium (PC4).

BACKGROUND: The Pediatric Cardiac Critical Care Consortium (PC4) is a multi-institutional quality improvement registry focused on the care delivered in the cardiac ICU for patients with CHD and acquired heart disease. To assess data quality, a rigorous procedure of data auditing has been in place since the inception of the consortium. MATERIALS AND METHODS: This report describes the data auditing process and quantifies the audit results for the initial 39 audits that took place after the transition from version one to version two of the registry's database. RESULTS: In total, 2219 total encounters were audited for an average of 57 encounters per site. The overall data accuracy rate across all sites was 99.4%, with a major discrepancy rate of 0.52%. A passing score is based on an overall accuracy of >97% (achieved by all sites) and a major discrepancy rate of <1.5% (achieved by 38 of 39 sites, with 35 of 39 sites having a major discrepancy rate of <1%). Fields with the highest discrepancy rates included arrhythmia type, cardiac arrest count, and current surgical status. CONCLUSIONS: The extensive PC4 auditing process, including initial and routinely scheduled follow-up audits of every participating site, demonstrates an extremely high level of accuracy across a broad array of audited fields and supports the continued use of consortium data to identify best practices in paediatric cardiac critical care.

Pediatric Organ Dysfunction Information Update Mandate (PODIUM) Contemporary Organ Dysfunction Criteria: Executive Summary.

Prior criteria for organ dysfunction in critically ill children were based mainly on expert opinion. We convened the Pediatric Organ Dysfunction Information Update Mandate (PODIUM) expert panel to summarize data characterizing single and multiple organ dysfunction and to derive contemporary criteria for pediatric organ dysfunction. The panel was composed of 88 members representing 47 institutions and 7 countries. We conducted systematic reviews of the literature to derive evidence-based criteria for single organ dysfunction for neurologic, cardiovascular, respiratory, gastrointestinal, acute liver, renal, hematologic, coagulation, endocrine, endothelial, and immune system dysfunction. We searched PubMed and Embase from January 1992 to January 2020. Study identification was accomplished using a combination of medical subject headings terms and keywords related to concepts of pediatric organ dysfunction. Electronic searches were performed by medical librarians. Studies were eligible for inclusion if the authors reported original data collected in critically ill children; evaluated performance characteristics of scoring tools or clinical assessments for organ dysfunction; and assessed a patient-centered, clinically meaningful outcome. Data were abstracted from each included study into an electronic data extraction form. Risk of bias was assessed using the Quality in Prognosis Studies tool. Consensus was achieved for a final set of 43 criteria for pediatric organ dysfunction through iterative voting and discussion. Although the PODIUM criteria for organ dysfunction were limited by available evidence and will require validation, they provide a contemporary foundation for researchers to identify and study single and multiple organ dysfunction in critically ill children.