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.

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.

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.

Evolving Cost-Quality Relationship in Pediatric Heart Surgery.

BACKGROUND: For the more than 40,000 children in the United States undergoing congenital heart surgery annually, the relationship between hospital quality and costs remains unclear. Prior studies report conflicting results and clinical outcomes have continued to improve over time. We examined a large contemporary cohort, aiming to better inform ongoing initiatives seeking to optimize health care value in this population. METHODS: Clinical information (The Society of Thoracic Surgeons Congenital Database) was merged with standardized cost data (Pediatric Health Information Systems) for children undergoing heart surgery from 2010 to 2015. In-hospital cost variability was analyzed using Bayesian hierarchical models adjusted for case-mix. Quality metrics examined included in-hospital mortality, postoperative complications, postoperative length of stay (PLOS), and a composite. RESULTS: Overall, 32 hospitals (n = 45,315 patients) were included. Median adjusted cost per case varied across hospitals from $67,700 to $51,200 in the high vs low cost tertile (ratio 1.32; 95% credible interval, 1.29 to 1.35), and all quality metrics also varied across hospitals. Across cost tertiles, there were no significant differences in the quality metrics examined, with the exception of PLOS. The PLOS findings were driven by high-risk The Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery categories 4 and 5 cases (adjusted median length of stay 16.8 vs 14.9 days in high vs low cost tertile [ratio 1.13, 1.05 to 1.24]), and intensive care unit PLOS. CONCLUSIONS: Contemporary congenital heart surgery costs vary across hospitals but were not associated with most quality metrics examined, highlighting that performance in one area does not necessarily convey to others. Cost variability was associated with PLOS, particularly related to intensive care unit PLOS and high-risk cases. Care processes influencing PLOS may provide targets for value-based initiatives in this population.

Prediction of extubation failure in the paediatric cardiac ICU using machine learning and high-frequency physiologic data.

BACKGROUND: Cardiac intensivists frequently assess patient readiness to wean off mechanical ventilation with an extubation readiness trial despite it being no more effective than clinician judgement alone. We evaluated the utility of high-frequency physiologic data and machine learning for improving the prediction of extubation failure in children with cardiovascular disease. METHODS: This was a retrospective analysis of clinical registry data and streamed physiologic extubation readiness trial data from one paediatric cardiac ICU (12/2016-3/2018). We analysed patients' final extubation readiness trial. Machine learning methods (classification and regression tree, Boosting, Random Forest) were performed using clinical/demographic data, physiologic data, and both datasets. Extubation failure was defined as reintubation within 48 hrs. Classifier performance was assessed on prediction accuracy and area under the receiver operating characteristic curve. RESULTS: Of 178 episodes, 11.2% (N = 20) failed extubation. Using clinical/demographic data, our machine learning methods identified variables such as age, weight, height, and ventilation duration as being important in predicting extubation failure. Best classifier performance with this data was Boosting (prediction accuracy: 0.88; area under the receiver operating characteristic curve: 0.74). Using physiologic data, our machine learning methods found oxygen saturation extremes and descriptors of dynamic compliance, central venous pressure, and heart/respiratory rate to be of importance. The best classifier in this setting was Random Forest (prediction accuracy: 0.89; area under the receiver operating characteristic curve: 0.75). Combining both datasets produced classifiers highlighting the importance of physiologic variables in determining extubation failure, though predictive performance was not improved. CONCLUSION: Physiologic variables not routinely scrutinised during extubation readiness trials were identified as potential extubation failure predictors. Larger analyses are necessary to investigate whether these markers can improve clinical decision-making.

Epidemiology of Acute Kidney Injury After Neonatal Cardiac Surgery: A Report From the Multicenter Neonatal and Pediatric Heart and Renal Outcomes Network.

OBJECTIVES: Cardiac surgery-associated acute kidney injury occurs commonly following congenital heart surgery and is associated with adverse outcomes. This study represents the first multicenter study of neonatal cardiac surgery-associated acute kidney injury. We aimed to describe the epidemiology, including perioperative predictors and associated outcomes of this important complication. DESIGN: This Neonatal and Pediatric Heart and Renal Outcomes Network study is a multicenter, retrospective cohort study of consecutive neonates less than 30 days. Neonatal modification of The Kidney Disease Improving Global Outcomes criteria was used. Associations between cardiac surgery-associated acute kidney injury stage and outcomes (mortality, length of stay, and duration of mechanical ventilation) were assessed through multivariable regression. SETTING: Twenty-two hospitals participating in Pediatric Cardiac Critical Care Consortium. PATIENTS: Twenty-two-thousand forty neonates who underwent major cardiac surgery from September 2015 to January 2018. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Cardiac surgery-associated acute kidney injury occurred in 1,207 patients (53.8%); 983 of 1,657 in cardiopulmonary bypass patients (59.3%) and 224 of 583 in noncardiopulmonary bypass patients (38.4%). Seven-hundred two (31.3%) had maximum stage 1, 302 (13.5%) stage 2, 203 (9.1%) stage 3; prevalence of cardiac surgery-associated acute kidney injury peaked on postoperative day 1. Cardiac surgery-associated acute kidney injury rates varied greatly (27-86%) across institutions. Preoperative enteral feeding (odds ratio = 0.68; 0.52-0.9) and open sternum (odds ratio = 0.76; 0.61-0.96) were associated with less cardiac surgery-associated acute kidney injury; cardiopulmonary bypass was associated with increased cardiac surgery-associated acute kidney injury (odds ratio = 1.53; 1.01-2.32). Duration of cardiopulmonary bypass was not associated with cardiac surgery-associated acute kidney injury in the cardiopulmonary bypass cohort. Stage 3 cardiac surgery-associated acute kidney injury was independently associated with hospital mortality (odds ratio = 2.44; 1.3-4.61). No cardiac surgery-associated acute kidney injury stage was associated with duration of mechanical ventilation or length of stay. CONCLUSIONS: Cardiac surgery-associated acute kidney injury occurs frequently after neonatal cardiac surgery in both cardiopulmonary bypass and noncardiopulmonary bypass patients. Rates vary significantly across hospitals. Only stage 3 cardiac surgery-associated acute kidney injury is associated with mortality. Cardiac surgery-associated acute kidney injury was not associated with any other outcomes. Kidney Disease Improving Global Outcomes criteria may not precisely define a clinically meaningful renal injury phenotype in this population.

Estimating Resource Utilization in Congenital Heart Surgery.

BACKGROUND: Optimal methods to assess resource utilization in congenital heart surgery remain unclear. We compared traditional cost-to-charge ratio methods with newer standardized cost methods that aim to more directly assess resources consumed. METHODS: Clinical data from The Society of Thoracic Surgeons Database were linked with resource use data from the Pediatric Health Information Systems Database (2010 to 2015). Standardized cost methods specific to the congenital heart surgery population were developed and compared with cost-to-charge ratio methods. Resource use in the overall population and variability across hospitals were described using hierarchical mixed effect models adjusting for case-mix. RESULTS: Overall, 43 hospitals (65,331 patients) were included. There were minimal population-level differences in the distribution of resource use as estimated by the two methods. At the hospital level, there was less apparent variability in resource use across centers with the standardized cost vs cost-to-charge ratio method, overall (coefficient of variation 20% vs 25%) and across complexity (The Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery [STAT]) categories. When hospitals were categorized into tertiles by resource use, 33% changed classification depending on which resource use method was used (26% by one tertile and 7% by two tertiles). CONCLUSIONS: In this first evaluation of standardized cost methodology in the congenital heart population, we found minimal differences vs traditional methods at the population level. At the hospital level, the magnitude of variation in resource use was less with standardized cost methods, and approximately one third of centers changed resource use categories depending on the methodology used. Because of these differences, care should be taken in future studies and in benchmarking and reporting efforts in selecting optimal methodology.

Extubation Failure Rates After Pediatric Cardiac Surgery Vary Across Hospitals.

OBJECTIVES: Many hospitals aim to extubate children early after cardiac surgery, yet it remains unclear how this practice associates with extubation failure. We evaluated adjusted extubation failure rates and duration of postoperative mechanical ventilation across hospitals and assessed cardiac ICU organizational factors associated with extubation failure. DESIGN: Secondary analysis of the Pediatric Cardiac Critical Care Consortium clinical registry. SETTING: Pediatric Cardiac Critical Care Consortium cardiac ICUs. PATIENTS: Patients with qualifying index surgical procedures from August 2014 to June 2017. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We modeled hospital-level adjusted extubation failure rates using multivariable logistic regression. A previously validated Pediatric Cardiac Critical Care Consortium model was used to calculate adjusted postoperative mechanical ventilation. Observed-to-expected ratios for both metrics were derived for each hospital to assess performance. Hierarchical logistic regression was used to assess the association between cardiac ICU factors and extubation failure. Overall, 16,052 surgical hospitalizations were analyzed. Predictors of extubation failure (p < 0.05 in final case-mix adjustment model) included younger age, underweight, greater surgical complexity, airway anomaly, chromosomal anomaly/syndrome, longer cardiopulmonary bypass time, and other preoperative comorbidities. Three hospitals were better-than-expected outliers for extubation failure (95% CI around observed-to-expected < 1), and three hospitals were worse-than-expected (95% CI around observed-to-expected > 1). Two hospitals were better-than-expected outliers for both extubation failure and postoperative mechanical ventilation, and three were worse-than-expected for both. No hospital was an outlier in opposite directions. Greater nursing hours per patient day and percent nursing staff with critical care certification were associated with lower odds of extubation failure. Cardiac ICU factors such as fewer inexperienced nurses, greater percent critical care trained attendings, cardiac ICU-dedicated respiratory therapists, and fewer patients per cardiac ICU attending were not associated with lower odds of extubation failure. CONCLUSIONS: We saw no evidence that hospitals trade higher extubation failure rates for shorter duration of postoperative mechanical ventilation after pediatric cardiac surgery. Increasing specialized cardiac ICU nursing hours per patient day may achieve better extubation outcomes and mitigate the impact of inexperienced nurses.

Development of a Congenital Heart Surgery Composite Quality Metric: Part 1-Conceptual Framework.

BACKGROUND: Current pediatric and congenital heart surgery quality measures focus on operative mortality, and numerous stakeholders are interested in more comprehensive measures. This report describes the background, rationale, and conceptual framework related to the development of the first composite quality metric in the field. METHODS: A multidisciplinary panel reviewed methodology and framework related to quality measurement and several composite quality measures across adult cardiac surgery and other fields. The panel subsequently developed methodology and selected measures for a congenital heart surgery composite measure and reviewed potential advantages and limitations. Individual measures considered for potential inclusion in the composite were reviewed within the context of Donabedian's triad and the Institute of Medicine quality domains. Decisions were made through group consensus. RESULTS: The final composite measure selected is comprised of two domains: (1) a mortality domain (operative mortality) and (2) a morbidity domain (the 6 major complications endorsed by The Society of Thoracic Surgeons and Congenital Heart Surgeons Society plus cardiac arrest, and postoperative length of stay). Potential advantages include the more comprehensive view of quality compared with mortality alone and improvements in discrimination of hospital performance through increasing the number of end points. Potential limitations include the lack of longer term outcomes and challenges related to case-mix adjustment. CONCLUSIONS: We have applied and adapted conceptual framework and methodology related to composite quality measures across other fields to congenital heart surgery. The composite quality metric created is inclusive of both morbidity and mortality, and expands our view of quality in this patient population.

Development of a Congenital Heart Surgery Composite Quality Metric: Part 2-Analytic Methods.

BACKGROUND: We describe the statistical methods and results related to development of the first congenital heart surgery composite quality measure. METHODS: The composite measure was developed using The Society of Thoracic Surgeons Congenital Heart Surgery Database (2012 to 2015), Bayesian hierarchical modeling, and the current Society of Thoracic Surgeons risk model for case-mix adjustment. It consists of a mortality domain (operative mortality) and morbidity domain (major complications and postoperative length of stay). We evaluated several potential weighting schemes and properties of the final composite measure, including reliability (signal-to-noise ratio) and hospital classification in various performance categories. RESULTS: Overall, 100 hospitals (78,425 operations) were included. Each adjusted metric included in the composite varied across hospitals: operative mortality (median, 3.1%; 10th to 90th percentile, 2.1% to 4.4%) major complications (median 11.7%, 10th to 90th percentile, 6.4% to 17.4%), and length of stay (median, 7.0 days; 10th to 90th percentile, 5.9 to 8.2 days). In the final composite weighting scheme selected, mortality had the greatest influence, followed by major complications and length of stay (correlation with overall composite score of 0.87, 0.69, and 0.47, respectively). Reliability of the composite measure was 0.73 compared with 0.59 for mortality alone. The distribution of hospitals across composite measure performance categories (defined by whether the 95% credible interval overlapped The Society of Thoracic Surgeons average) was 75% (same as expected), 9% (worse than expected), and 16% (better than expected). CONCLUSIONS: This congenital heart surgery composite measure incorporates aspects of both morbidity and mortality, has clinical face validity, and greater ability to discriminate hospital performance compared with mortality alone. Ongoing efforts will support the use of the composite measure in benchmarking and quality improvement activities.

Variation in Implementation and Outcomes of Early Extubation Practices After Infant Cardiac Surgery.

BACKGROUND: The Pediatric Heart Network Collaborative Learning Study (PHN CLS) increased early extubation after infant tetralogy of Fallot (TOF) and coarctation repair overall at participating sites through implementing a clinical practice guideline (CPG). We evaluated variability across sites in CPG implementation and outcomes. METHODS: Patient characteristics and outcomes (time to extubation, length of stay [LOS]) were compared across sites, including pre-CPB to post-CPG changes. Semistructured interviews were analyzed to assess similarities and differences in implementation strategies across sites. RESULTS: A total of 322 patients were included (4 active sites, 1 model site). Patient characteristics were similar across active sites, whereas pre-CPG median time to extubation varied from 15.4 to 35.5 hours. All active sites had a significant post-CPG decline (p < 0.001); however, there was variation in the post-CPG median time to extubation (0.3 to 5.3 hours, p = 0.01) and magnitude of change (-73.3% to -99.2%). Site A achieved the shortest post-CPG time to extubation and had the greatest percentage change. Two sites had significant decreases in medical ICU LOS in TOF patients; no hospital LOS changes were seen. All sites valued the collaborative learning strategy, site visits, CPG flexibility, and had similar core team composition. Site A used several unique strategies: inclusion of other staff and fellows, regular in-person data reviews, additional data collection, and creation of complementary protocols. CONCLUSIONS: All PHN CLS sites successfully reduced time to extubation. The magnitude of change varied and may be partly explained by different CPG implementation strategies. These data can guide CPG dissemination and design of future improvement projects.

The Epidemiology of Healthcare-associated Infections in Pediatric Cardiac Intensive Care Units.

BACKGROUND: Healthcare-associated infections (HAIs) represent serious complications for patients within pediatric cardiac intensive care units (CICU). HAIs are associated with increased morbidity, mortality and resource utilization. There are few studies describing the epidemiology of HAIs across the entire spectrum of patients (surgical and nonsurgical) receiving care in dedicated pediatric CICUs. METHODS: Retrospective analyses of 22,839 CICU encounters from October 2013 to September 2016 across 22 North American CICUs contributing data to the Pediatric Cardiac Critical Care Consortium clinical registry. RESULTS: HAIs occurred in 2.4% of CICU encounters at a rate of 3.3 HAIs/1000 CICU days, with 73% of HAIs occurring in children <1 year. Eighty encounters (14%) had ≥2 HAIs. Aggregate rates for the 4 primary HAIs are as follows: central line-associated blood stream infection, 1.1/1000 line days; catheter-associated urinary tract infections, 1.5/1000 catheter days; ventilator-associated pneumonia, 1.9/1000 ventilator days; surgical site infections, 0.81/100 operations. Surgical and nonsurgical patients had similar HAIs rates/1000 CICU days. Incidence was twice as high in surgical encounters and increased with surgical complexity; postoperative infection occurred in 2.8% of encounters. Prematurity, younger age, presence of congenital anomaly, Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery Congenital Heart Surgery Mortality Categories (STAT) 4-5 surgery, admission with an active medical condition, open sternum and extracorporeal membrane oxygenation were independently associated with HAIs. In univariable analysis, HAI was associated with longer hospital length of stay and durations of urinary catheter, central venous catheter and ventilation. Mortality was 24.4% in patients with HAIs versus 3.4% in those without, P < 0.0001. CONCLUSIONS: We provide comprehensive multicenter benchmark data regarding rates of HAIs within dedicated pediatric CICUs. We confirm that although rare, HAIs of all types are associated with significant resource utilization and mortality.

Epidemiology and Outcomes of Cardiac Arrest in Pediatric Cardiac ICUs.

OBJECTIVES: In-hospital cardiac arrest occurs in 2.6-6% of children with cardiac disease and is associated with significant morbidity and mortality. Much remains unknown about cardiac arrest in pediatric cardiac ICUs; therefore, we aimed to describe cardiac arrest epidemiology in a contemporary multicenter cardiac ICU cohort. DESIGN: Retrospective analysis within the Pediatric Cardiac Critical Care Consortium clinical registry. SETTING: Cardiac ICUs within 23 North American hospitals. PATIENTS: All cardiac medical and surgical patients admitted from August 2014 to July 2016. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: There were 15,908 cardiac ICU encounters (6,498 medical, 9,410 surgical). 3.1% had cardiac arrest; rate was 4.8 cardiac arrest per 1,000 cardiac ICU days. Medical encounters had 50% higher rate of cardiac arrest compared with surgical encounters. Observed (unadjusted) cardiac ICU cardiac arrest prevalence varied from 1% to 5.5% among the 23 centers; cardiac arrest per 1,000 cardiac ICU days varied from 1.1 to 10.4. Over half cardiac arrest occur within 48 hours of admission. On multivariable analysis, prematurity, neonatal age, any Society of Thoracic Surgeons preoperative risk factor, and Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery mortality category 4, 5 had strongest association with surgical encounter cardiac arrest. In medical encounters, independent cardiac arrest risk factors were acute heart failure, prematurity, lactic acidosis greater than 3 mmol/dL, and invasive ventilation 1 hour after admission. Median cardiopulmonary resuscitation duration was 10 minutes, return of spontaneous circulation occurred in 64.5%, extracorporeal cardiopulmonary resuscitation in 27.2%. Unadjusted survival was 53.2% in encounters with cardiac arrest versus 98.2% without. Medical encounters had lower survival after cardiac arrest (37.7%) versus surgical encounters (62.5%); Norwood patients had less than half the survival after cardiac arrest (35.6%) compared with all others. Unadjusted survival after cardiac arrest varied greatly among 23 centers. CONCLUSIONS: We provide contemporary epidemiologic and outcome data for cardiac arrest occurring in the cardiac ICU from a multicenter clinical registry. As detailed above, we highlight high-risk patient cohorts and periods of time that may serve as targets for research and quality improvement initiatives aimed at cardiac arrest prevention.

Epinephrine dosing interval and survival outcomes during pediatric in-hospital cardiac arrest.

BACKGROUND: Current guidelines recommend epinephrine every 3-5min during cardiopulmonary resuscitation. For adults with in-hospital cardiac arrest (IHCA), longer dosing intervals are associated with improved survival to discharge. This study investigates whether longer epinephrine dosing intervals were associated with improved survival to discharge during pediatric IHCA. METHODS: Retrospective review of AHA Get With The Guidelines-Resuscitation registry identified 1630 pediatric IHCAs that met inclusion criteria. Average epinephrine dosing interval was defined by dividing duration of resuscitation after first dose of epinephrine by total doses. Average dosing intervals were categorized as 1-5min, >5 to <8min, and 8 to <10min/dose. Primary outcome was survival to hospital discharge. Multivariable logistic regression models controlled for age, gender, illness category, location of arrest, arrest duration, time of day, and time to first epinephrine dose. Secondary analysis separated patients on vasoactive infusion at the time of arrest from those without an infusion in place. RESULTS: Odds ratios (OR) calculated using 1-5min/dose interval as reference. For the total cohort, adjusted OR for survival to hospital discharge for >5 to <8min was 1.81 (95% CI 1.26-2.59), and 8 to <10min 2.64 (95% CI 1.53-4.55). For patients not receiving vasoactive infusion, adjusted OR for survival to discharge for >5 to <8min was 1.99 (95% CI 1.29-3.06) and 8 to <10min 2.67 (95% CI 1.14-5.04). CONCLUSIONS: Longer average dosing intervals than currently recommended for epinephrine administration during pediatric IHCA were associated with improved survival to hospital discharge.

Utilizing a Collaborative Learning Model to Promote Early Extubation Following Infant Heart Surgery.

OBJECTIVE: To determine whether a collaborative learning strategy-derived clinical practice guideline can reduce the duration of endotracheal intubation following infant heart surgery. DESIGN: Prospective and retrospective data collected from the Pediatric Heart Network in the 12 months pre- and post-clinical practice guideline implementation at the four sites participating in the collaborative (active sites) compared with data from five Pediatric Heart Network centers not participating in collaborative learning (control sites). SETTING: Ten children's hospitals. PATIENTS: Data were collected for infants following two-index operations: 1) repair of isolated coarctation of the aorta (birth to 365 d) and 2) repair of tetralogy of Fallot (29-365 d). There were 240 subjects eligible for the clinical practice guideline at active sites and 259 subjects at control sites. INTERVENTIONS: Development and application of early extubation clinical practice guideline. MEASUREMENTS AND MAIN RESULTS: After clinical practice guideline implementation, the rate of early extubation at active sites increased significantly from 11.7% to 66.9% (p < 0.001) with no increase in reintubation rate. The median duration of postoperative intubation among active sites decreased from 21.2 to 4.5 hours (p < 0.001). No statistically significant change in early extubation rates was found in the control sites 11.7% to 13.7% (p = 0.63). At active sites, clinical practice guideline implementation had no statistically significant impact on median ICU length of stay (71.9 hr pre- vs 69.2 hr postimplementation; p = 0.29) for the entire cohort. There was a trend toward shorter ICU length of stay in the tetralogy of Fallot subgroup (71.6 hr pre- vs 54.2 hr postimplementation, p = 0.068). CONCLUSIONS: A collaborative learning strategy designed clinical practice guideline significantly increased the rate of early extubation with no change in the rate of reintubation. The early extubation clinical practice guideline did not significantly change postoperative ICU length of stay.

Outcomes Analysis and Quality Improvement in Children With Congenital and Acquired Cardiovascular Disease.

OBJECTIVES: In this review, the current state of outcomes analysis and quality improvement in children with acquired and congenital cardiovascular disease will be discussed, with an emphasis on defining and measuring outcomes and quality in pediatric cardiac critical care medicine and risk stratification systems. DATA SOURCE: MEDLINE and PubMed CONCLUSION: : Measuring quality and outcomes in the pediatric cardiac critical care environment is challenging owing to many inherent obstacles, including a diverse patient mix, difficulty in determining how the care of the ICU team contributes to outcomes, and the lack of an adequate risk-adjustment method for pediatric cardiac critical care patients. Despite these barriers, new solutions are emerging that capitalize on lessons learned from other quality improvement initiatives, providing opportunities to build upon previous successes.

Congenital Heart Surgery Case Mix Across North American Centers and Impact on Performance Assessment.

BACKGROUND: Performance assessment in congenital heart surgery is challenging due to the wide heterogeneity of disease. We describe current case mix across centers, evaluate methodology inclusive of all cardiac operations versus the more homogeneous subset of Society of Thoracic Surgeons benchmark operations, and describe implications regarding performance assessment. METHODS: Centers (n = 119) participating in the Society of Thoracic Surgeons Congenital Heart Surgery Database (2010 through 2014) were included. Index operation type and frequency across centers were described. Center performance (risk-adjusted operative mortality) was evaluated and classified when including the benchmark versus all eligible operations. RESULTS: Overall, 207 types of operations were performed during the study period (112,140 total cases). Few operations were performed across all centers; only 25% were performed at least once by 75% or more of centers. There was 7.9-fold variation across centers in the proportion of total cases comprising high-complexity cases (STAT 5). In contrast, the benchmark operations made up 36% of cases, and all but 2 were performed by at least 90% of centers. When evaluating performance based on benchmark versus all operations, 15% of centers changed performance classification; 85% remained unchanged. Benchmark versus all operation methodology was associated with lower power, with 35% versus 78% of centers meeting sample size thresholds. CONCLUSIONS: There is wide variation in congenital heart surgery case mix across centers. Metrics based on benchmark versus all operations are associated with strengths (less heterogeneity) and weaknesses (lower power), and lead to differing performance classification for some centers. These findings have implications for ongoing efforts to optimize performance assessment, including choice of target population and appropriate interpretation of reported metrics.

Report of the National Heart, Lung, and Blood Institute Working Group: An Integrated Network for Congenital Heart Disease Research.

The National Heart, Lung, and Blood Institute convened a working group in January 2015 to explore issues related to an integrated data network for congenital heart disease research. The overall goal was to develop a common vision for how the rapidly increasing volumes of data captured across numerous sources can be managed, integrated, and analyzed to improve care and outcomes. This report summarizes the current landscape of congenital heart disease data, data integration methodologies used across other fields, key considerations for data integration models in congenital heart disease, and the short- and long-term vision and recommendations made by the working group.