Pediatric Cardiac Critical Care Consortium Research Articles

Abstract 14034: Sustaining and Spreading Success: Longer Term Outcomes and Spread of a Multi-Center Quality Improvement Project to Reduce Post-operative Chest Tube (CT) Duration (on Behalf of the Pediatric Acute Care Cardiology Collaborative and Pediatric Cardiac Critical Care Consortium)

Introduction: Using a collaborative learning model, we previously showed reduced post-operative CT duration and length of stay (LOS) after 10 STS benchmark surgeries. Here we report sustained gains across the original 9 centers (labeled era 1) and spread of the project (era 2) to 9 new centers in the PAC 3 -PC 4 network. Methods: Data on patients undergoing surgeries was collected across the two eras. Each era consisted of a baseline phase (era 1: 6/2017-6/2018, era 2: 5/2019-8/2019) and an intervention phase (era 1: 7/2018-3/2020, era 2: 9/2019-3/2020). The primary outcome was post-operative CT duration in hours, with aim of 20% reduction in the intervention vs baseline phases. Balancing measures included rate of reinsertion and readmission for effusion. The collaborative learning model included monthly webinars with peer support, data transparency, and QI education. Statistical process control methods and traditional statistics were used to analyze CT duration and LOS over time. Results: Among 3656 patients at 18 centers, demographics were comparable across eras. Era 1 cohort (n=2779) sustained a 23.5% reduction in CT duration (median 88.9 vs 67.9 hours, p=<.0001) and a 12.5% reduction in LOS days (median 8 vs 7, p=0.03). Era 2 cohort (n=877) showed a 6.95% reduction (median 68.3 vs 63.5 hours, p=0.03) in CT duration in the first 7 months of intervention phase. Across both eras, rates of reinsertion (1.77% vs 1.25%, p=0.48) and readmission for effusion did not change (1.26% vs 2.29%, p=1.00). Conclusions: In this multicenter prospective interventional cohort study, reductions in CT duration and LOS were sustained in 9 centers following a collaborative learning model, without adverse events. Nine new centers show promising early results, suggesting that this intervention can be spread successfully. With its use of phased spread, peer support, data transparency, and education, this project serves as a model for sustaining and spreading clinical quality improvement.

Relationship Between Gestational Age and Outcomes After Congenital Heart Surgery

Previous studies suggest that birth before 39 weeks' gestational age (GA) is associated with higher perioperative mortality and morbidity after congenital heart surgery. The optimal approach to timing of cardiac operation in premature infants remains unclear. We investigated the impact of GA at birth and corrected GA at surgery on postoperative outcomes using the Pediatric Cardiac Critical Care Consortium (PC4) database. Infants undergoing selected index cardiac operations before the end of the neonatal period were included (n= 2298). GA at birth and corrected GA at the time of the index cardiac operation were used as categorical predictors and fitted as a cubic spline to assess nonlinear relationships. The primary outcome was hospital mortality. Multivariable logistic regression models assessed the association between predictors and outcomes while adjusting for confounders. Late-preterm (34-36 weeks) birth was associated with increased odds of mortality compared with full-term (39-40 weeks) birth, while early-term (37-38 weeks) birth was not associated with increased mortality. Corrected GA at surgery of 34 to 37 weeks compared with 40 to 44 weeks was associated with increased mortality. When analyzing corrected GA at surgery as a continuous predictor of outcome, odds of survival improve as patients approach 39 weeks corrected GA. Contrary to previous literature, we did not find an association between early-term birth and hospital mortality at PC4 hospitals. Our analysis of the relationship between corrected GA and mortality suggests that operating closer to full-term corrected GA may improve survival.

Predicting and Surviving Prolonged Critical Illness After Congenital Heart Surgery.

Prolonged critical illness after congenital heart surgery disproportionately harms patients and the healthcare system, yet much remains unknown. We aimed to define prolonged critical illness, delineate between nonmodifiable and potentially preventable predictors of prolonged critical illness and prolonged critical illness mortality, and understand the interhospital variation in prolonged critical illness. Observational analysis. Pediatric Cardiac Critical Care Consortium clinical registry. All patients, stratified into neonates (≤28 d) and nonneonates (29 d to 18 yr), admitted to the pediatric cardiac ICU after congenital heart surgery at Pediatric Cardiac Critical Care Consortium hospitals. None. There were 2,419 neonates and 10,687 nonneonates from 22 hospitals. The prolonged critical illness cutoff (90th percentile length of stay) was greater than or equal to 35 and greater than or equal to 10 days for neonates and nonneonates, respectively. Cardiac ICU prolonged critical illness mortality was 24% in neonates and 8% in nonneonates (vs 5% and 0.4%, respectively, in nonprolonged critical illness patients). Multivariable logistic regression identified 10 neonatal and 19 nonneonatal prolonged critical illness predictors within strata and eight predictors of mortality. Only mechanical ventilation days and acute renal failure requiring renal replacement therapy predicted prolonged critical illness and prolonged critical illness mortality in both strata. Approximately 40% of the prolonged critical illness predictors were nonmodifiable (preoperative/patient and operative factors), whereas only one of eight prolonged critical illness mortality predictors was nonmodifiable. The remainders were potentially preventable (postoperative critical care delivery variables and complications). Case-mix-adjusted prolonged critical illness rates were compared across hospitals; six hospitals each had lower- and higher-than-expected prolonged critical illness frequency. Although many prolonged critical illness predictors are nonmodifiable, we identified several predictors to target for improvement. Furthermore, we observed that complications and prolonged critical care therapy drive prolonged critical illness mortality. Wide variation of prolonged critical illness frequency suggests that identifying practices at hospitals with lower-than-expected prolonged critical illness could lead to broader quality improvement initiatives.

Influence of Early Extubation Location on Outcomes Following Pediatric Cardiac Surgery.

Early extubation following pediatric cardiac surgery is common, but debate exists whether location affects outcome, with some centers performing routine early extubations in the operating room (odds ratio) and others in the cardiac ICU. We aimed to define early extubation practice variation across hospitals and assess impact of location on hospital length-of-stay and other outcomes. Secondary analysis of the Pediatric Cardiac Critical Care Consortium registry. Twenty-eight Pediatric Cardiac Critical Care Consortium hospitals. Patients undergoing Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery mortality category 1-3 operations between August 2014 and February 2018. None. We defined early extubation as extubation less than 6 hours after postoperative admission. Hospitals were categorized based on the proportion of their early extubation patients who underwent an odds ratio extubation. Categories included low- (< 50% of early extubation, n = 12), medium- (50%-90%, n = 8), or high- (> 90%, n = 8) frequency odds ratio early extubation centers. The primary outcome of interest was postoperative hospital length-of-stay. We analyzed 16,594 operations (9,143 early extubation, 55%). Rates of early extubation ranged from 16% to 100% across hospitals. Odds ratio early extubation rates varied from 16% to 99%. Patient characteristics were similar across hospital odds ratio early extubation categories. Early extubation rates paralleled the hospital odds ratio early extubation rates-77% patients underwent early extubation at high-frequency odds ratio extubation centers compared with 39% at low-frequency odds ratio extubation centers (p < 0.001). High- and low-frequency odds ratio early extubation hospitals had similar length-of-stay, cardiac arrest rates, and low mortality. However, high-frequency odds ratio early extubation hospitals used more noninvasive ventilation than low-frequency hospitals (15% vs. 9%; p < 0.01), but had fewer extubation failures (3.6% vs. 4.5%; p = 0.02). Considerable variability exists in early extubation practices after low- and moderate-complexity pediatric cardiac surgery. In this patient population, hospital length-of-stay did not differ significantly between centers with different early extubation strategies based on location or frequency.

Epidemiology and Outcomes of Acute Decompensated Heart Failure in Children.

Acute decompensated heart failure (ADHF) is a highly morbid condition among adults. Little is known about outcomes in children with ADHF. We analyzed the Pediatric Cardiac Critical Care Consortium registry to determine the epidemiology, contemporary treatments, and predictors of mortality in critically ill children with ADHF. Cardiac intensive care unit (CICU) patients ≤18 years of age meeting Pediatric Cardiac Critical Care Consortium criteria for ADHF were included. ADHF was defined as systolic or diastolic dysfunction requiring continuous vasoactive or diuretic infusion, respiratory support, or mechanical circulatory support. Demographics, diagnosis, therapies, complications, and mortality are described for the cohort. Predictors of CICU mortality were identified using logistic regression. Among 26 294 consecutive admissions (23 centers), 1494 (6%) met criteria for analysis. Median age was 0.93 years (interquartile range, 0.1-9.3 years). Patients with congenital heart disease (CHD) comprised 57% of the cohort. Common therapies included the following: vasoactive infusions (88%), central venous catheters (86%), mechanical ventilation (59%), and high flow nasal cannula (46%). Common complications were arrhythmias (19%), cardiac arrest (10%), sepsis (7%), and acute renal failure requiring dialysis (3%). Median length of CICU stay was 7.9 days (interquartile range, 3-18 days) and the CICU readmission rate was 22%. Overall, CICU mortality was 15% although higher for patients with CHD versus non-CHD (19% versus 11%; P<0.001). Independent risk factors associated with CICU mortality included age <30 days, CHD, vasoactive infusions, ventricular tachycardia, mechanical ventilation, sepsis, pulmonary hypertension, extracorporeal membrane oxygenation, and cardiac arrest. ADHF in children is characterized by comorbidities, high mortality rates, and frequent readmission, especially among patients with CHD. Opportunities exist to determine best practices around appropriate use of mechanical support, cardiac arrest prevention, and optimal heart transplantation candidacy to improve outcomes for these patients.

Central Venous Catheter Utilization and Complications in the Pediatric Cardiac ICU: A Report From the Pediatric Cardiac Critical Care Consortium (PC4).

Current central venous catheter utilization in patients within pediatric cardiac ICUs is not well elucidated. We aim to describe current use of central venous catheters in a multi-institutional cohort and to explore the prevalence and risk factors for central line-associated thrombosis and central line-associated bloodstream infections. Observational analysis. Pediatric Cardiac Critical Care Consortium hospitals. Hospitalizations with at least one cardiac ICU admission from October 2013 to July 2016. None. There were 17,846 hospitalizations and 69% included greater than or equal to one central venous catheter. Central venous catheter use was higher in younger patients (86% neonates). Surgical hospitalizations included at least one central venous catheter 88% of the time compared with 35% of medical hospitalizations. The most common location for central venous catheters was internal jugular (46%). Central venous catheters were in situ a median of 4 days (interquartile range, 2-10). There were 248 hospitalizations (2% overall, 1.8% medical, and 2.1% surgical) with at least one central line-associated thrombosis (271 total thromboses). Thrombosis was diagnosed at a median of 7 days (interquartile range, 4-14) after catheter insertion. There were 127 hospitalizations (1% overall, 1.4% medical, and 1% surgical) with at least one central line-associated bloodstream infection (136 total infections) with no association with catheter type or location. Central line-associated bloodstream infection was diagnosed at a median of 19 days (interquartile range, 8-36) after catheter insertion. Significant risk factors for central line-associated thrombosis and central line-associated bloodstream infection were younger age, greater surgical complexity, and total catheter days. Utilization of central venous catheters in pediatric cardiac ICUs differs according to indication for hospitalization. Although thrombosis and central line-associated bloodstream infection are infrequent complications of central venous catheter use in cardiac ICU patients, these events can have important short- and long-term consequences for patients. Total central venous catheter line days were the only modifiable risk factor identified. Future study must focus on understanding central venous catheter practices in high-risk patient subgroups that reduce the prevalence of thrombosis and central line-associated bloodstream infection.

Intensive Care Unit and Acute Care Unit Length of Stay After Congenital Heart Surgery

Postoperative length of stay (LOS) is an important quality metric and is known to vary widely across hospitals after congenital heart surgery. Whether this variability is explained by factors associated with the intensive care unit (ICU) or acute care unit (ACU) remains unclear. We evaluated the relationship between ICU and ACU LOS and the impact of ACU characteristics on postoperative LOS. Hospitalizations for congenital heart surgery within the Pediatric Cardiac Critical Care Consortium (PC4) registry (August 2014 to February 2018) were included. Models were developed for ICU, ACU, and postoperative LOS by adjusting for differences in case-mix across hospitals. PC4 hospitals participating in the Pediatric Acute Care Cardiology Collaborative (PAC3) were also surveyed on ACU organizational factors and practice patterns. Overall, 19,674 hospitalizations across 27 hospitals were included. There was significant variation in ICU and ACU LOS. Postperative LOS appeared to be most closely related to ICU LOS; 75% (6 of 8) of hospitals with shorter than expected postoperative LOS also had shorter than expected ICU LOS. A clear relationship between postoperative and ACU LOS was not observed. Hospitals with an ACU able to provide higher-acuity care as indexed according to the PAC3 survey were more likely to have shorter postoperative LOS (P < .01). For hospitals that achieve shorter than expected postoperative LOS after congenital heart surgery, ICU LOS appears to be the primary driver. Higher-acuity resources in the ACU may be an important factor facilitating earlier transfer from the ICU. These data are key to informing quality improvement initiatives geared toward reducing postoperative LOS.

Improvement in Pediatric Cardiac Surgical Outcomes Through Interhospital Collaboration

BackgroundPatients undergoing complex pediatric cardiac surgery remain at considerable risk of mortality and morbidity, and variation in outcomes exists across hospitals. The Pediatric Cardiac Critical Care Consortium (PC4) was formed to improve the quality of care for these patients through transparent data sharing and collaborative learning between participants. ObjectivesThe purpose of this study was to determine whether outcomes improved over time within PC4. MethodsThe study analyzed 19,600 hospitalizations (18 hospitals) in the PC4 clinical registry that included cardiovascular surgery from August 2014 to June 2018. The primary exposure was 2 years of PC4 participation; this provided adequate time for hospitals to accrue data and engage in collaborative learning. Aggregate case mix–adjusted outcomes were compared between the first 2 years of participation (baseline) and all months post-exposure. We also evaluated outcomes from the same era in a cohort of similar, non-PC4 hospitals. ResultsDuring the baseline period, there was no evidence of improvement. We observed significant improvement in the post-exposure period versus baseline for post-operative intensive care unit mortality (2.1% vs. 2.7%; 22% relative reduction [RR]; p = 0.001), in-hospital mortality (2.5% vs. 3.3%; 24% RR; p = 0.001), major complications (10.1% vs. 11.5%; 12% RR; p < 0.001), intensive care unit length of stay (7.3 days vs. 7.7 days; 5% RR; p < 0.001), and duration of ventilation (61.3 h vs. 70.6 h; 13% RR; p = 0.01). Non-PC4 hospitals showed no significant improvement in mortality, complications, or hospital length of stay. ConclusionsThis analysis demonstrates improving cardiac surgical outcomes at children’s hospitals participating in PC4. This change appears unrelated to secular improvement trends, and likely reflects PC4’s commitment to transparency and collaboration.

Center Variation in Chest Tube Duration and Length of Stay After Congenital Heart Surgery

Nearly every child undergoing congenital heart surgery has chest tubes placed intraoperatively. Center variation in removal practices and impact on outcomes has not been well described. This study evaluated variation in chest tube management practices and outcomes across centers. The study included patients undergoing any of 10 benchmark operations from June 2017 to May 2018 at participating Pediatric Acute Care Cardiology Collaborative (PAC3) and Pediatric Cardiac Critical Care Consortium (PC4) centers. Clinical data from PC4 centers were merged with chest tube data from PAC3 centers. Practices and outcomes were compared across centers in univariate and multivariable analysis. The cohort included 1029 patients (N= 9 centers). Median chest tube duration varied significantly across centers for 9 of 10 benchmark operations (all P ≤ .03), with a "model" center noted to have the shortest duration for 9 of 10 operations (range, 27.9% to 87.4% shorter duration vs other centers across operations). This effect persisted in multivariable analysis (P < .0001). The model center had higher volumes of chest tube output before removal (median, 8.5 mL/kg/24 h [model] vs 2.2 mL/kg/24 h [other centers]; P< .001], but it did not have higher rates of chest tube reinsertion (model center 1.3% vs 2.1%; P= .59) or readmission for pleural effusion (model center 4.4% vs 3.0%; P= .31), and had the shortest length of stay for 7 of 10 operations. This study suggests significant center variation in chest tube removal practices and associated outcomes after congenital heart surgery. Best practices used at the model center have informed the design of an ongoing collaborative learning project aimed at reducing chest tube duration and length of stay.

Abstract 301: Identifying Critical Care Unit Organizational Factors That Impact Cardiac Arrest Incidence and Outcomes: A Report From the Pediatric Cardiac Critical Care Consortium

Introduction: Patient factors leading to cardiac arrest (CA) in the pediatric cardiac critical care unit (CICU) are well understood, but may be unmodifiable. Our understanding of the impact of CICU organizational factors (OFs) such as staffing models, health care provider education, and CICU bed management is limited. The association between these potentially modifiable CICU OFs on CA prevention and rescue outcomes is unknown. Hypothesis: CICU OFs associate with CA prevention and rescue. Methods: Retrospective analysis of Pediatric Cardiac Critical Care Consortium (PC4) clinical registry including data for all patients admitted to CICUs from August 2014 to March 2019. Prevention was defined as the prevalence of subjects not suffering CA. Rescue was defined as survival after CA. CICU OFs were captured via questionnaire distributed to PC4 participants in 2017 (100% response). Stratified, multivariable regression was used to evaluate associations between OFs and outcome in medical and surgical admission subgroups: competing time-to-events framework (to assess prevention) and multinomial regression (to assess rescue), accounting for clustering of patients within hospitals. Results: We analyzed 54,521 CICU admissions (59% surgical, 41% medical) from 29 hospitals with 1398 CA events (2.5%). We studied 12 OFs that varied across centers after accounting for collinearity. For both surgical and medical admissions, lower average daily occupancy (&lt;80%) was associated with better arrest prevention for all admissions, and better rescue in the surgical cohort. Increased proportion of nurses with &gt;2 years experience, increased proportion of nurses with critical care certification, % of full-time intensivists, % of intensivists with critical care training, dedicated respiratory therapists, quality/safety resources, and annual CICU admission volume were not associated with improved prevention or rescue. Conclusion: Our multi-institutional analysis suggests that lower average CICU occupancy was the only consistent OF evaluated that was associated with CA prevention and rescue. CICUs that have average daily occupancy &gt;80% may need specific strategies to mitigate the risks of CA.

The Quest for Precision Medicine: Unmeasured Patient Factors and Mortality After Congenital Heart Surgery

Emerging data across many fields suggest that unique patient characteristics can impact disease manifestation and response to therapy, supporting "precision medicine" approaches and more individualized and targeted therapeutic strategies. In children undergoing congenital heart surgery, current risk models primarily focus on the population level, and their utility in understanding precise characteristics that place individual patients at risk for poor outcome remains unclear. We analyzed index surgeries in the Pediatric Cardiac Critical Care Consortium (PC4) registry (August 2014 to May 2016) and utilized a previously constructed model containing patient factors typically included in in-hospital mortality risk models (age, weight, prematurity, chromosomal anomalies/syndromes, preoperative factors, The Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery score). Partitioned variances based on a hierarchical generalized linear model were used to estimate the proportion of variation in mortality explained by these factors. A total of 8406 operations (22 hospitals) were included. We found that only 30% of the total between-patient variation in mortality in our cohort was explained by the patient factors included in our model. Age, The Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery score, and preoperative mechanical ventilation explained the greatest proportion of variation. Of the variation that remained unexplained, 95% was attributable to unmeasured patient factors. In stratified analyses, these results were consistent across patient subgroups. Patient factors typically included in congenital heart surgery risk models explain only a small portion of total variation in mortality. A better understanding of other underrecognized factors is critical in further defining risk profiles and in developing more individualized and tailored therapeutic strategies.

Neonatal and Paediatric Heart and Renal Outcomes Network: design of a multi-centre retrospective cohort study.

Cardiac surgery-associated acute kidney injury is common. In order to improve our understanding of acute kidney injury, we formed the multi-centre Neonatal and Pediatric Heart and Renal Outcomes Network. Our main goals are to describe neonatal kidney injury epidemiology, evaluate variability in diagnosis and management, identify risk factors, investigate the impact of fluid overload, and explore associations with outcomes. The Neonatal and Pediatric Heart and Renal Outcomes Network collaborative includes representatives from paediatric cardiac critical care, cardiology, nephrology, and cardiac surgery. The collaborative sites and infrastructure are part of the Pediatric Cardiac Critical Care Consortium. An acute kidney injury module was developed and merged into the existing infrastructure. A total of twenty-two participating centres provided data on 100-150 consecutive neonates who underwent cardiac surgery within the first 30 post-natal days. Additional acute kidney injury variables were abstracted by chart review and merged with the corresponding record in the quality improvement database. Exclusion criteria included &gt;1 operation in the 7-day study period, pre-operative renal replacement therapy, pre-operative serum creatinine &gt;1.5 mg/dl, and need for extracorporeal support in the operating room or within 24 hours after the index operation. A total of 2240 neonatal patients were enrolled across 22 centres. The incidence of acute kidney injury was 54% (stage 1 = 31%, stage 2 = 13%, and stage 3 = 9%). Neonatal and Pediatric Heart and Renal Outcomes Network represents the largest multi-centre study of neonatal kidney injury. This new network will enhance our understanding of kidney injury and its complications.

A Novel Model Demonstrates Variation in Risk-Adjusted Mortality Across Pediatric Cardiac ICUs After Surgery.

To develop a postoperative mortality case-mix adjustment model to facilitate assessment of cardiac ICU quality of care, and to describe variation in adjusted cardiac ICU mortality across hospitals within the Pediatric Cardiac Critical Care Consortium. Observational analysis. Multicenter Pediatric Cardiac Critical Care Consortium clinical registry. All surgical cardiac ICU admissions between August 2014 and May 2016. The analysis included 8,543 admissions from 23 dedicated cardiac ICUs. None. We developed a novel case-mix adjustment model to measure postoperative cardiac ICU mortality after congenital heart surgery. Multivariable logistic regression was performed to assess preoperative, intraoperative, and immediate postoperative severity of illness variables as candidate predictors. We used generalized estimating equations to account for clustering of patients within hospital and obtain robust SEs. Bootstrap resampling (1,000 samples) was used to derive bias-corrected 95% CIs around each predictor and validate the model. The final model was used to calculate expected mortality at each hospital. We calculated a standardized mortality ratio (observed-to-expected mortality) for each hospital and derived 95% CIs around the standardized mortality ratio estimate. Hospital standardized mortality ratio was considered a statistically significant outlier if the 95% CI did not include 1. Significant preoperative predictors of mortality in the final model included age, chromosomal abnormality/syndrome, previous cardiac surgeries, preoperative mechanical ventilation, and surgical complexity. Significant early postoperative risk factors included open sternum, mechanical ventilation, maximum vasoactive inotropic score, and extracorporeal membrane oxygenation. The model demonstrated excellent discrimination (C statistic, 0.92) and adequate calibration. Comparison across Pediatric Cardiac Critical Care Consortium hospitals revealed five-fold difference in standardized mortality ratio (0.4-1.9). Two hospitals had significantly better-than-expected and two had significantly worse-than-expected mortality. For the first time, we have demonstrated that variation in mortality as a quality metric exists across dedicated cardiac ICUs. These findings can guide efforts to reduce mortality after cardiac surgery.

Variation in Adjusted Mortality for Medical Admissions to Pediatric Cardiac ICUs*

Pediatric cardiac ICUs should be adept at treating both critical medical and surgical conditions for patients with cardiac disease. There are no case-mix adjusted quality metrics specific to medical cardiac ICU admissions. We aimed to measure case-mix adjusted cardiac ICU medical mortality rates and assess variation across cardiac ICUs in the Pediatric Cardiac Critical Care Consortium. Observational analysis. Pediatric Cardiac Critical Care Consortium clinical registry. All cardiac ICU admissions that did not include cardiac surgery. None. The primary endpoint was cardiac ICU mortality. Based on multivariable logistic regression accounting for clustering, we created a case-mix adjusted model using variables present at cardiac ICU admission. Bootstrap resampling (1,000 samples) was used for model validation. We calculated a standardized mortality ratio for each cardiac ICU based on observed-to-expected mortality from the fitted model. A cardiac ICU was considered a statistically significant outlier if the 95% CI around the standardized mortality ratio did not cross 1. Of 11,042 consecutive medical admissions from 25 cardiac ICUs (August 2014 to May 2017), the observed mortality rate was 4.3% (n = 479). Final model covariates included age, underweight, prior surgery, time of and reason for cardiac ICU admission, high-risk medical diagnosis or comorbidity, mechanical ventilation or extracorporeal membrane oxygenation at admission, and pupillary reflex. The C-statistic for the validated model was 0.87, and it was well calibrated. Expected mortality ranged from 2.6% to 8.3%, reflecting important case-mix variation. Standardized mortality ratios ranged from 0.5 to 1.7 across cardiac ICUs. Three cardiac ICUs were outliers; two had lower-than-expected (standardized mortality ratio <1) and one had higher-than-expected (standardized mortality ratio >1) mortality. We measured case-mix adjusted mortality for cardiac ICU patients with critical medical conditions, and provide the first report of variation in this quality metric within this patient population across Pediatric Cardiac Critical Care Consortium cardiac ICUs. This metric will be used by Pediatric Cardiac Critical Care Consortium cardiac ICUs to assess and improve outcomes by identifying high-performing (low-mortality) centers and engaging in collaborative learning.

Variation in Case-Mix Adjusted Unplanned Pediatric Cardiac ICU Readmission Rates.

To identify modifiable factors leading to unplanned readmission and characterize differences in adjusted unplanned readmission rates across hospitals. Retrospective cohort study using prospectively collected clinical registry data SETTING:: Pediatric Cardiac Critical Care Consortium clinical registry. Patients admitted to a pediatric cardiac ICU at Pediatric Cardiac Critical Care Consortium hospitals. None. We examined pediatric cardiac ICU encounters in the Pediatric Cardiac Critical Care Consortium registry from October 2013 to March 2016. The primary outcomes were early (< 48 hr from pediatric cardiac ICU transfer) and late (2-7 d) unplanned readmission. Generalized logit models identified independent predictors of unplanned readmission. We then calculated observed-to-expected ratios of unplanned readmission and identified higher-than or lower-than-expected unplanned readmission rates for those with an observed-to-expected ratios greater than or less than 1, respectively, and a 95% CI that did not cross 1. Of 11,301 pediatric cardiac ICU encounters (16 hospitals), 62% were surgical, and 18% were neonates. There were 175 (1.6%) early unplanned readmission, and 300 (2.7%) late unplanned readmission, most commonly for respiratory (31%), or cardiac (28%) indications. In multivariable analysis, unique modifiable factors were associated with unplanned readmission. Although shorter time between discontinuation of vasoactive infusions and pediatric cardiac ICU transfer was associated with early unplanned readmission, nighttime discharge was independently associated with a greater likelihood of late unplanned readmission. Two hospitals had lower-than-expected unplanned readmission in both the early and late categories, whereas two other hospitals were higher-than-expected in both. This analysis demonstrated time from discontinuation of critical care therapies to pediatric cardiac ICU transfer as a significant, modifiable predictor of unplanned readmission. We identified two hospitals with lower-than-expected adjusted rates of both early and late unplanned readmission, suggesting that their systems are well designed to prevent unplanned readmission. This offers the possibility of disseminating best practices to other hospitals through collaborative learning.

Atrioventricular block after congenital heart surgery: Analysis from the Pediatric Cardiac Critical Care Consortium

ObjectivesOur primary aims were to describe the contemporary epidemiology of postoperative high-grade atrioventricular block (AVB), the timing of recovery and permanent pacemaker (PPM) placement, and to determine predictors for development of and recovery from AVB. MethodsPatients who underwent congenital heart surgery from August 2014 to June 2017 were analyzed for AVB using the Pediatric Cardiac Critical Care Consortium registry. Predictors of AVB with or without PPM were identified using multinomial logistic regression. We used these predictors to model the probability of PPM for the subgroup of patients with intraoperative complete AVB. ResultsWe analyzed 15,901 surgical hospitalizations; 422 (2.7%) were complicated by AVB and 162 (1.0%) patients underwent PPM placement. In patients with transient AVB, 50% resolved by 2 days, and 94% resolved by 10 days. In patients who received a PPM, 50% were placed by 8 days and 62% were placed by 10 days. Independent risk factors associated with PPM compared with resolution of AVB were longer duration of cardiopulmonary bypass (relative risk ratio, 1.04; P = .023) and a high-risk operation (relative risk ratio, 2.59; P < .001). Among patients with complete AVB originating in the operating room, those with the highest predicted probability of PPM had a PPM placed only 77% of the time. ConclusionsIn this cohort, postoperative AVB complicated almost 3% of congenital heart surgery cases and 1% of patients underwent PPM placement. Because almost all patients (94%) with transient AVB had resolution by 10 days, our results suggest there is limited benefit to delaying PPM placement beyond that time frame.

Sustainability of Infant Cardiac Surgery Early Extubation Practices After Implementation and Study

The Pediatric Heart Network Collaborative Learning Study (PHN CLS) successfully changed practice at four hospitals to increase the rate of early extubation within 6 hours after infant heart surgery. It is unknown whether this practice continued after study completion. We linked the PHN CLS dataset to the Pediatric Cardiac Critical Care Consortium registry to compare outcomes at four active hospitals between the study period (post-clinical practice guideline [CPG]) and the first year after study completion (follow-up) after a 3-month washout. Inclusion and exclusion criteria were the same across eras. Primary outcome was early extubation rate after tetralogy of Fallot or aortic coarctation repair. Secondary outcomes included time to first extubation and intensive care and hospital lengths of stay. There were 121 patients in the post-CPG era and 139 patients in the follow-up era with no difference in patient characteristics or operation subtypes. Post-CPG early extubation rate declined from 67% to 30% in follow-up (p < 0.0001); time to first extubation increased (4.5 versus 13.5 hours, p < 0.0001). One hospital maintained the rate of early extubation (72% versus 67%), whereas the other three hospitals had significantly lower rates in follow-up (p < 0.02 for each). Intensive care (2.8 versus 2.9 days) and postoperative hospital (6 versus 5 days) stays did not differ between eras (p > 0.05 for both). Findings were consistent across operation subtypes. Extubation practice in the first year of follow-up after the PHN CLS reverted toward prestudy levels. One of four hospitals maintained its early extubation strategy, suggesting that specific implementation and maintenance approaches may effectively sustain impact from quality initiatives.

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

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. 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. 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. 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.

Collective quality improvement in the paediatric cardiology acute care unit: establishment of the Pediatric Acute Care Cardiology Collaborative (PAC3).

Collaborative quality improvement and learning networks have amended healthcare quality and value across specialities. Motivated by these successes, the Pediatric Acute Care Cardiology Collaborative (PAC3) was founded in late 2014 with an emphasis on improving outcomes of paediatric cardiology patients within cardiac acute care units; acute care encompasses all hospital-based inpatient non-intensive care. PAC3 aims to deliver higher quality and greater value care by facilitating the sharing of ideas and building alignment among its member institutions. These aims are intentionally aligned with the work of other national clinical collaborations, registries, and parent advocacy organisations. The mission and early work of PAC3 is exemplified by the formal partnership with the Pediatric Cardiac Critical Care Consortium (PC4), as well as the creation of a clinical registry, which links with the PC4 registry to track practices and outcomes across the entire inpatient encounter from admission to discharge. Capturing the full inpatient experience allows detection of outcome differences related to variation in care delivered outside the cardiac ICU and development of benchmarks for cardiac acute care. We aspire to improve patient outcomes such as morbidity, hospital length of stay, and re-admission rates, while working to advance patient and family satisfaction. We will use quality improvement methodologies consistent with the Model for Improvement to achieve these aims. Membership currently includes 36 centres across North America, out of which 26 are also members of PC4. In this report, we describe the development of PAC3, including the philosophical, organisational, and infrastructural elements that will enable a paediatric acute care cardiology learning network.

Characteristics, Risk Factors, and Outcomes of Extracorporeal Membrane Oxygenation Use in Pediatric Cardiac ICUs: A Report From the Pediatric Cardiac Critical Care Consortium Registry.

Cardiopulmonary failure in children with cardiac disease differs from the general pediatric critical care population, yet the epidemiology of extracorporeal membrane oxygenation support in cardiac ICUs has not been described. We aimed to characterize extracorporeal membrane oxygenation utilization and outcomes across surgical and medical patients in pediatric cardiac ICUs. Retrospective analysis of the Pediatric Cardiac Critical Care Consortium registry to describe extracorporeal membrane oxygenation frequency and outcomes. Within strata of medical and surgical hospitalizations, we identified risk factors associated with extracorporeal membrane oxygenation use through multivariate logistic regression. Tertiary-care children's hospitals. Neonates through adults with cardiac disease. None. There were 14,526 eligible hospitalizations from August 1, 2014, to June 30, 2016; 449 (3.1%) included at least one extracorporeal membrane oxygenation run. Extracorporeal membrane oxygenation was used in 329 surgical (3.5%) and 120 medical (2.4%) hospitalizations. Systemic circulatory failure and extracorporeal cardiopulmonary resuscitation were the most common extracorporeal membrane oxygenation indications. In the surgical group, risk factors associated with postoperative extracorporeal membrane oxygenation use included younger age, extracardiac anomalies, preoperative comorbidity, higher Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery category, bypass time, postoperative mechanical ventilation, and arrhythmias (all p < 0.05). Bleeding requiring reoperation (25%) was the most common extracorporeal membrane oxygenation complication in the surgical group. In the medical group, risk factors associated with extracorporeal membrane oxygenation use included acute heart failure and higher Vasoactive Inotropic Score at cardiac ICU admission (both p < 0.0001). Stroke (15%) and renal failure (15%) were the most common extracorporeal membrane oxygenation complications in the medical group. Hospital mortality was 49% in the surgical group and 63% in the medical group; mortality rates for hospitalizations including extracorporeal cardiopulmonary resuscitation were 50% and 83%, respectively. This is the first multicenter study describing extracorporeal membrane oxygenation use and outcomes specific to the cardiac ICU and inclusive of surgical and medical cardiac disease. Mortality remains high, highlighting the importance of identifying levers to improve care. These data provide benchmarks for hospitals to assess their outcomes in extracorporeal membrane oxygenation patients and identify unique high-risk subgroups to target for quality initiatives.