Associations between Child Opportunity Index and Pediatric Cardiac Surgical Outcomes.

OBJECTIVE: To assess the relationship between the Child Opportunity Index (COI), a comprehensive measurement of social determinants of health, and specific COI domains on patient-specific outcomes following congenital cardiac surgery in the metropolitan region of Atlanta, Georgia. STUDY DESIGN: In this retrospective chart review, we included patients who underwent an index operation for congenital heart disease between 2010 and 2020 in a single pediatric health care system. Patients' addresses were geocoded and mapped to census tracts. Descriptive statistics, univariable analysis, and multivariable regression models were employed to assess associations between variables and outcomes. RESULTS: Of the 7460 index surgeries, 3798 (51%) met eligibility criteria. Presence of an adverse outcome, defined as either mortality or 1 of several other major postoperative morbidities, was significantly associated with COI in the univariable model (P = .008), but not the multivariable regression model (P = .39). Postoperative hospital length of stay was significantly associated with COI (P < .001) in univariable and multivariable regression models. There was no significant association between COI and readmission within 30 days of hospital discharge in univariable (P < .094) and multivariable (P = .49) models. CONCLUSION: COI is associated with postoperative hospital length of stay but not all outcomes in patients after congenital heart surgery. By understanding the role of COI in outcomes related to cardiac surgery, targeted interventions can be developed to improve health equity.

Antimicrobial Stewardship and Improved Antibiotic Utilization in the Pediatric Cardiac Intensive Care Unit.

Background: We developed a multidisciplinary antimicrobial stewardship team to optimize antimicrobial use within the Pediatric Cardiac Intensive Care Unit. A quality improvement initiative was conducted to decrease unnecessary broad-spectrum antibiotic use by 20%, with sustained change over 12 months. Methods: We conducted this quality improvement initiative within a quaternary care center. PDSA cycles focused on antibiotic overuse, provider education, and practice standardization. The primary outcome measure was days of therapy (DOT)/1000 patient days. Process measures included electronic medical record order-set use. Balancing measures focused on alternative antibiotic use, overall mortality, and sepsis-related mortality. Data were analyzed using statistical process control charts. Results: A significant and sustained decrease in DOT was observed for vancomycin and meropenem. Vancomycin use decreased from a baseline of 198 DOT to 137 DOT, a 31% reduction. Meropenem use decreased from 103 DOT to 34 DOT, a 67% reduction. These changes were sustained over 24 months. The collective use of gram-negative antibiotics, including meropenem, cefepime, and piperacillin-tazobactam, decreased from a baseline of 323 DOT to 239 DOT, a reduction of 26%. There was no reciprocal increase in cefepime or piperacillin-tazobactam use. Key interventions involved electronic medical record changes, including automatic stop times and empiric antibiotic standardization. All-cause mortality remained unchanged. Conclusions: The initiation of a dedicated antimicrobial stewardship initiative resulted in a sustained reduction in meropenem and vancomycin usage. Interventions did not lead to increased utilization of alternative broad-spectrum antimicrobials or increased mortality. Future interventions will target additional broad-spectrum antimicrobials.

Durable Vascular Access in Neonates in the Cardiac ICU: A Novel Technique for Tunneled Femoral Central Venous Catheters.

OBJECTIVES: There is an ongoing need for a method of obtaining long-term venous access in critically ill pediatric patients that can be completed at the bedside and results in a durable, highly functional device. We designed a novel technique for tunneled femoral access to address this need. Herein, we describe the procedure and review the outcomes at our institution. DESIGN: A single-center retrospective chart review identifying patients who underwent tunneled femoral central venous catheter (tfCVC) placement between 2017 and 2021 using a two-puncture technique developed by our team. SETTING: Academic, Quaternary Children's Hospital with a dedicated pediatric cardiac ICU (CICU). PATIENTS: Patients in our pediatric CICU who underwent this procedure. INTERVENTIONS: Tunneled femoral central line placement. MEASUREMENTS AND MAIN RESULTS: One hundred eighty-two encounters were identified in 161 patients. The median age and weight at the time of catheter placement was 22 days and 3.2 kg. The median duration of the line was 22 days. The central line-associated bloodstream infection (CLABSI) rate was 0.75 per 1,000-line days. The prevalence rate of thrombi necessitating pharmacologic treatment was 2.0 thrombi per 1,000-line days. There was no significant difference in CLABSI rate per 1,000-line days between the tfCVC and nontunneled peripherally inserted central catheters placed over the same period in a similar population (-0.40 [95% CI, -1.61 to 0.82; p = 0.52]) and no difference in thrombus rates per 1,000-line days (1.37 [95% CI, -0.15 to 2.89; p = 0.081]). CONCLUSIONS: tfCVCs can be placed by the intensivist team using a two-puncture technique at the bedside with a high-rate of procedural success and low rate of complications. Advantages of this novel technique of obtaining vascular access include a low rate of CLABSIs, the ability to place it at the bedside, and preservation of the upper extremity vasculature.

Quantifying the Healthcare Burden of Pediatric Feeding Disorder after Congenital Heart Surgery.

OBJECTIVE: To determine the healthcare costs and use burden of pediatric feeding disorder after congenital heart surgery. STUDY DESIGN: A retrospective, population-based cohort study using claims data (2009-2018) was performed. Participants include patients aged 0-18 years who had undergone congenital heart surgery and were included in the insurance database ≥1 year after surgery. The main exposure variable was the presence of a pediatric feeding disorder, defined as a need for a feeding tube at discharge or diagnosis of dysphagia or feeding-related difficulty within the study timeframe. Main outcomes include overall and feeding-related medical care use, defined as readmissions and outpatient use, and feeding-related cost of care within 1 year of surgery. RESULTS: A total of 10 849 pediatric patients were identified, with 3347 (30.9%) presenting with pediatric feeding disorder within 1 year of surgery. Patients with pediatric feeding disorder spent a median of 12 days (IQR, 6-33 days) in the hospital, compared with 5 days (IQR, 3-8 days) in patients without (P < .001). Rate ratios for overall readmissions, feeding-related readmissions, feeding-related outpatient use, and cost of care over the first year after surgery were significantly increased at 2.9 (95% CI, 2.5-3.4), 5.1 (95% CI, 4.6-5.7), 7.7 (95% CI, 6.5-9.1), and 2.2 (95% CI, 2.0-2.3) among patients with pediatric feeding disorder as compared with those without. CONCLUSIONS: Pediatric feeding disorder after congenital heart surgery is associated with a significant healthcare burden. Multidisciplinary care for and research on this health condition is needed to identify optimal management strategies to reduce this burden and improve outcomes.

Functional Status Change Among Infants, Children, and Adolescents Following Extracorporeal Life Support: a Multicenter Report.

In our retrospective multicenter study of patients 0 to 18 years of age who survived extracorporeal life support (ECLS) between January 2010 and December 2018, we sought to characterize the functional status scale (FSS) of ECLS survivors, determine the change in FSS from admission to discharge, and examine risk factors associated with development of new morbidity and unfavorable outcome. During the study period, there were 1,325 ECLS runs, 746 (56%) survived to hospital discharge. Pediatric patients accounted for 56%. Most common ECLS indication was respiratory failure (47%). ECLS support was nearly evenly split between veno-arterial and veno-venous (51% vs . 49%). Median duration of ECLS in survivors was 5.5 days. Forty percent of survivors had new morbidity, and 16% had an unfavorable outcome. In a logistic regression, African American patients (OR 1.68, p = 0.01), longer duration of ECLS (OR 1.002, p = 0.004), mechanical (OR 1.79, p = 0.002), and renal (OR 1.64, p = 0.015) complications had higher odds of new morbidity. Other races (Pacific Islanders, and Native Americans) (OR 2.89, p = 0.013), longer duration of ECLS (OR 1.002, p = 0.002), and mechanical complications (OR 1.67, p = 0.026) had higher odds of unfavorable outcomes. In conclusion, in our multi-center 9-year ECLS experience, 56% survived, 40% developed new morbidity, and 84% had favorable outcome. Future studies with larger populations could help identify modifiable risk factors that could help guide clinicians in this fragile patient population.

Fetal growth and gestational age improve outcome predictions in neonatal heart surgery.

OBJECTIVE: Current risk adjustment models for congenital heart surgery do not fully incorporate multiple factors unique to neonates such as granular gestational age (GA) and birth weight (BW) z score data. This study sought to develop a Neonatal Risk Adjustment Model for congenital heart surgery to address these deficiencies. METHODS: Cohort study of neonates undergoing cardiothoracic surgery during the neonatal period captured in the Pediatric Cardiac Critical Care Consortium database between 2014 and 2020. Candidate predictors were included in the model if they were associated with mortality in the univariate analyses. GA and BW z score were both added as multicategory variables. Mortality probabilities were predicted for different GA and BW z scores while keeping all other variables at their mean value. RESULTS: The C statistic for the mortality model was 0.8097 (95% confidence interval, 0.7942-0.8255) with excellent calibration. Mortality prediction for a neonate at 40 weeks GA and a BW z score 0 to 1 was 3.5% versus 9.8% for the same neonate at 37 weeks GA and a BW z score -2 to -1. For preterm infants the mortality prediction at 34 to 36 weeks with a BW z score 0 to 1 was 10.6%, whereas it was 36.1% for the same infant at <32 weeks with a BW z score of -2 to -1. CONCLUSIONS: This Neonatal Risk Adjustment Model incorporates more granular data on GA and adds the novel risk factor BW z score. These 2 factors refine mortality predictions compared with traditional risk models. It may be used to compare outcomes across centers for the neonatal population.

Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit.

More than 5 million patients have admitted annually to intensive care units (ICUs) in the United States. The leading causes of mortality are cardiovascular failures, multi-organ failures, and sepsis. Data-driven techniques have been used in the analysis of patient data to predict adverse events, such as ICU mortality and ICU readmission. These models often make use of temporal or static features from a single ICU database to make predictions on subsequent adverse events. To explore the potential of domain adaptation, we propose a method of data analysis using gradient boosting and convolutional autoencoder (CAE) to predict significant adverse events in the ICU, such as ICU mortality and ICU readmission. We demonstrate our results from a retrospective data analysis using patient records from a publicly available database called Multi-parameter Intelligent Monitoring in Intensive Care-II (MIMIC-II) and a local database from Children's Healthcare of Atlanta (CHOA). We demonstrate that after adopting novel data imputation on patient ICU data, gradient boosting is effective in both the mortality prediction task and the ICU readmission prediction task. In addition, we use gradient boosting to identify top-ranking temporal and non-temporal features in both prediction tasks. We discuss the relationship between these features and the specific prediction task. Lastly, we indicate that CAE might not be effective in feature extraction on one dataset, but domain adaptation with CAE feature extraction across two datasets shows promising results.

Cumulative In-Hospital Costs Associated With Single-Ventricle Palliation.

Background: In the SVR (Single Ventricle Reconstruction) Trial, 1-year survival in recipients of right ventricle to pulmonary artery shunts (RVPAS) was superior to that in those receiving modified Blalock-Taussig-Thomas shunts (MBTTS), but not in subsequent follow-up. Cost analysis is an expedient means of evaluating value and morbidity. Objectives: The purpose of this study was to evaluate differences in cumulative hospital costs between RVPAS and MBTTS. Methods: Clinical data from SVR and costs from Pediatric Health Information Systems database were combined. Cumulative hospital costs and cost-per-day-alive were compared serially at 1, 3, and 5 years between RVPAS and MBTTS. Potential associations between patient-level factors and cost were explored with multivariable models. Results: In total, 303 participants (55% of the SVR cohort) from 9 of 15 sites were studied (48% MBTTS). Observed total costs at 1 year were lower for MBTTS ($701,260 ± 442,081) than those for RVPAS ($804,062 ± 615,068), a difference that was not statistically significant (P = 0.10). Total costs were also not significantly different at 3 and 5 years (P = 0.21 and 0.32). Similarly, cost-per-day-alive did not differ significantly for either group at 1, 3, and 5 years (all P > 0.05). In analyses of transplant-free survivors, total costs and cost-per-day-alive were higher for RVPAS at 1 year (P = 0.05 for both) but not at 3 and 5 years (P > 0.05 for all). In multivariable models, aortic atresia and prematurity were associated with increased cost-per-day-alive across follow-up (P < 0.05). Conclusions: Total costs do not differ significantly between MBTTS and RVPAS. The magnitude of longitudinal costs underscores the importance of efforts to improve outcomes in this vulnerable population.

The utility of handheld ultrasound as a point-of-care screening tool to assess vocal fold impairment following congenital heart surgery.

INTRODUCTION: Vocal fold motion impairment (VFMI) is a known potential complication of congenital heart surgery (CHS). Flexible nasolaryngoscopy (FNL) is the gold standard for evaluation of vocal fold movement but has risks, including epistaxis, desaturation, and changes in heart rate. Laryngeal ultrasound (LUS) has begun to emerge as a diagnostic tool and has been shown to have high accuracy in the evaluation of VFMI. We sought to assess the utility of hand-held LUS as a point-of-care screening tool to assess VFMI in pediatric patients following congenital heart surgery. METHODS: Using a prospective cohort design, children under 18 years who were undergoing congenital heart surgery at a tertiary care pediatric hospital were enrolled. All patients underwent postoperative LUS and FNL. All studies were reviewed by two otolaryngology reviewers blinded to the clinical diagnosis. Higher quality studies were reviewed by two cardiology reviewers also blinded to the clinical diagnosis. Accuracy and inter-rater reliability were calculated. RESULTS: Sixty-two children were screened. Fourteen children with VFMI were identified via FNL. When comparing LUS and FNL, both individual accuracy (90.3% and 75.8%) and interrater agreement (79% overall, 96% for high quality videos) were high for the otolaryngology reviewers. The cardiology reviewers were able to obtain 100% accuracy for high quality videos. CONCLUSION: Handheld LUS has utility as a point-of-care screening tool to assess VFMI. This may have benefit in low-resource settings, for universal screening in cardiac intensive care units, or in settings where otolaryngology consultation may be difficult to obtain.

A systems approach to examine hospital-acquired infections in a paediatric CICU.

OBJECTIVE: We aimed to apply systems engineering principles to address hospital-acquired infections in the paediatric intensive care setting. DESIGN: Mixed method approach involving four steps: perform time-motion study of cardiac intensive care unit (CICU) care processes, establish a meaningful schema to classify observations, design a web-based system to manage and analyse data, and design a prototypical computer-based training system to assist with hygiene compliance. SETTING: Paediatric CICU at the Children's Healthcare of Atlanta. PATIENTS: Paediatric patients undergoing congenital heart surgery. INTERVENTIONS: Extensive time-motion study of CICU care processes. MEASUREMENTS: Non-compliances were recorded for each care process observed during the time-motion study. RESULTS: Guided by our observations, we introduced a novel categorisation schema with action types, observation categories, severity classes, procedure classifications, and personnel categories that offer a systematic and efficient mechanism for reporting and classifying non-compliance and violations. Utilising these categories, a web-based database management system was designed that allows observers to input their data. This web analytic tool offers easy summarisation, data analysis, and visualisation of findings. A computer-based training system with modules to educate visitors in hospital-acquired infections hygiene was also created. CONCLUSION: Our study offers a checklist of non-compliance situations and potential development of a proactive surveillance system of awareness of infection-prone situations. Working with quality improvement experts and stakeholders, recommendations and actionable practice will be synthesised for implementation in clinical settings. Careful design of the implementation protocol is needed to measure and quantify the potential improvements in outcomes.

Predicting and Surviving Prolonged Critical Illness After Congenital Heart Surgery.

OBJECTIVES: 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. DESIGN: Observational analysis. SETTING: Pediatric Cardiac Critical Care Consortium clinical registry. PATIENTS: 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. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: 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. CONCLUSIONS: 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.

Improvement in Pediatric Cardiac Surgical Outcomes Through Interhospital Collaboration.

BACKGROUND: Patients 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. OBJECTIVES: The purpose of this study was to determine whether outcomes improved over time within PC4. METHODS: The 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. RESULTS: During 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. CONCLUSIONS: This 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.

Quality Improvement Basics: A Crash Course for Pediatric Cardiac Care.

BACKGROUND: Lack of knowledge of quality improvement (QI) methodology and change management principles can explain many of the difficulties encountered when trying to develop effective QI initiatives in health care. METHODS: An interactive QI workshop at the 14th Annual Meeting of the Pediatric Cardiac Intensive Care Society provided an overview of the role of QI in health care, basic QI frameworks and tools, and leadership and organizational culture pitfalls. The top five QI projects submitted to the meeting were later presented to an expert QI panel in a separate session to illustrate examples of QI principles. RESULTS: Workshop presenters introduced two major QI methodologies used to design QI projects. Important first steps include identifying a problem, forming a multidisciplinary team, and developing an aim statement. Key driver diagrams were highlighted as an important tool to develop a project's framework. Several diagnostic tools used to understand the problem were discussed, including the "5 Why's," cause-and-effect charts, and process flowcharts. The importance of outcome, process, and balancing measures was emphasized. Identification of interventions, the value of plan-do-study-act cycles to fuel continuous QI, and use of statistical process control, including run charts or control charts, were reviewed. The importance of stakeholder engagement, transparency, and sustainability was discussed. Later, the top five QI projects presented highlighted multiple "QI done well" practices discussed during the preconference QI workshop. CONCLUSIONS: Understanding QI methodology and appropriately applying basic QI tools are pivotal steps to realizing meaningful and sustained improvement.

Novel Data Imputation for Multiple Types of Missing Data in Intensive Care Units.

The diversity and number of parameters monitored in an intensive care unit (ICU) make the resulting databases highly susceptible to quality issues, such as missing information and erroneous data entry, which adversely affect the downstream processing and predictive modeling. Missing data interpolation and imputation techniques, such as multiple imputation, expectation maximization, and hot-deck imputation techniques do not account for the type of missing data, which can lead to bias. In our study, we first model the missing data as three types: "neglectable" also known as a.k.a "missing completely at random," "recoverable" a.k.a. "missing at random," and "not easily recoverable" a.k.a. "missing not at random." We then design imputation techniques for each type of missing data. We use a publicly available database (MIMIC II) to demonstrate how these imputations perform with random forests for prediction. Our results indicate that these novel imputation techniques outperformed standard mean filling techniques and expectation maximization with a statistical significance p ≤ 0.01 in predicting ICU mortality.

Portable CT Pulmonary Angiogram in an Infant on Veno-Arterial Extracorporeal Membrane Oxygenation in the Pediatric Intensive Care Unit.

PURPOSE: Computed tomography (CT) has been shown to change management in children on extracorporeal membrane oxygenation (ECMO). Although techniques have been described to transport these critically ill patients to the CT suite in the radiology department, transport out of the intensive care setting is not without risk, and using portable CT is a practical alternative. However, obtaining a CT pulmonary angiogram (CTPA) in a patient on veno-arterial (VA) ECMO presents unique challenges due to bypass of the cardiopulmonary system, which may lead to suboptimal opacification of the pulmonary arteries. METHODS: We describe a method to obtain a diagnostic CTPA study in an infant on VA ECMO in the intensive care unit using portable CT. Our solution involved temporary withholding ECMO and using the venous cannula to deliver a compact contrast bolus to the right atrium to adequately opacify the pulmonary arteries. Special attention was given to the delivery of the contrast bolus, which was given by hand injection, to ensure it coincided with image acquisition and minimized the time ECMO was withheld. RESULTS: We were able to successfully obtain a diagnostic CTPA study in an infant on VA ECMO in the intensive care unit using portable CT. CONCLUSION: This case demonstrates that in select instances CTPA in infants on VA ECMO can be achieved using a portable CT system.

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

OBJECTIVES: 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. DESIGN: Observational analysis. SETTING: Pediatric Cardiac Critical Care Consortium clinical registry. PATIENTS: All cardiac ICU admissions that did not include cardiac surgery. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: 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. CONCLUSIONS: 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.

Hypoplastic left heart syndrome: from fetus to fontan.

The care of children with hypoplastic left heart syndrome is constantly evolving. Prenatal diagnosis of hypoplastic left heart syndrome will aid in counselling of parents, and selected fetuses may be candidates for in utero intervention. Following birth, palliation can be undertaken through staged operations: Norwood (or hybrid) in the 1st week of life, superior cavopulmonary connection at 4-6 months of life, and finally total cavopulmonary connection (Fontan) at 2-4 years of age. Children with hypoplastic left heart syndrome are at risk of circulatory failure their entire life, and selected patients may undergo heart transplantation. In this review article, we summarise recent advances in the critical care management of patients with hypoplastic left heart syndrome as were discussed in a focused session at the 12th International Conference of the Paediatric Cardiac Intensive Care Society held on 9 December, 2016, in Miami Beach, Florida.

Combination of static and temporal data analysis to predict mortality and readmission in the intensive care.

There are approximately 4 million intensive care unit (ICU) admissions each year in the United States with costs accounting for 4.1% of national health expenditures. Unforeseen adverse events contribute disproportionately to these costs. Thus, there has been substantial research in developing clinical decision support systems to predict and improve ICU outcomes such as ICU mortality, prolonged length of stay, and ICU readmission. However, the data in the ICU is collected at diverse time intervals and includes both static and temporal data. Common methods for static data mining such as Cox and logistic regression and methods for temporal data analysis such as temporal association rule mining do not model the combination of both static and temporal data. This work aims to overcome this challenge to combine static models such as logistic regression and feedforward neural networks with temporal models such as conditional random fields(CRF). We demonstrate the results using adult patient records from a publicly available database called Multi-parameter Intelligent Monitoring in Intensive Care - II (MIMIC-II). We show that the combination models outperformed individual models of logistic regression, feed-forward neural networks and conditional random fields in predicting ICU mortality. The combination models also outperform the static models of logistic regression and feed-forward neural networks for the prediction of 30 day ICU readmissions when tested using Matthews correlation coefficient and accuracy as the metrics.

Epidemiology of Noninvasive Ventilation in Pediatric Cardiac ICUs.

OBJECTIVE: To describe the epidemiology of noninvasive ventilation therapy for patients admitted to pediatric cardiac ICUs and to assess practice variation across hospitals. DESIGN: Retrospective cohort study using prospectively collected clinical registry data. SETTING: Pediatric Cardiac Critical Care Consortium clinical registry. PATIENTS: Patients admitted to cardiac ICUs at PC4 hospitals. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We analyzed all cardiac ICU encounters that included any respiratory support from October 2013 to December 2015. Noninvasive ventilation therapy included high flow nasal cannula and positive airway pressure support. We compared patient and, when relevant, perioperative characteristics of those receiving noninvasive ventilation to all others. Subgroup analysis was performed on neonates and infants undergoing major cardiovascular surgery. To examine duration of respiratory support, we created a casemix-adjustment model and calculated adjusted mean durations of total respiratory support (mechanical ventilation + noninvasive ventilation), mechanical ventilation, and noninvasive ventilation. We compared adjusted duration of support across hospitals. The cohort included 8,940 encounters from 15 hospitals: 3,950 (44%) received noninvasive ventilation and 72% were neonates and infants. Medical encounters were more likely to include noninvasive ventilation than surgical. In surgical neonates and infants, 2,032 (55%) received postoperative noninvasive ventilation. Neonates, extracardiac anomalies, single ventricle, procedure complexity, preoperative respiratory support, mechanical ventilation duration, and postoperative disease severity were associated with noninvasive ventilation therapy (p < 0.001 for all). Across hospitals, noninvasive ventilation use ranged from 32% to 65%, and adjusted mean noninvasive ventilation duration ranged from 1 to 4 days (3-d observed mean). Duration of total adjusted respiratory support was more strongly correlated with duration of mechanical ventilation compared with noninvasive ventilation (Pearson r = 0.93 vs 0.71, respectively). CONCLUSIONS: Noninvasive ventilation use is common in cardiac ICUs, especially in patients admitted for medical conditions, infants, and those undergoing high complexity surgery. We observed wide variation in noninvasive ventilation use across hospitals, though the primary driver of total respiratory support time seems to be duration of mechanical ventilation.

Therapeutic Hypothermia after In-Hospital Cardiac Arrest in Children.

BACKGROUND: Targeted temperature management is recommended for comatose adults and children after out-of-hospital cardiac arrest; however, data on temperature management after in-hospital cardiac arrest are limited. METHODS: In a trial conducted at 37 children's hospitals, we compared two temperature interventions in children who had had in-hospital cardiac arrest. Within 6 hours after the return of circulation, comatose children older than 48 hours and younger than 18 years of age were randomly assigned to therapeutic hypothermia (target temperature, 33.0°C) or therapeutic normothermia (target temperature, 36.8°C). The primary efficacy outcome, survival at 12 months after cardiac arrest with a score of 70 or higher on the Vineland Adaptive Behavior Scales, second edition (VABS-II, on which scores range from 20 to 160, with higher scores indicating better function), was evaluated among patients who had had a VABS-II score of at least 70 before the cardiac arrest. RESULTS: The trial was terminated because of futility after 329 patients had undergone randomization. Among the 257 patients who had a VABS-II score of at least 70 before cardiac arrest and who could be evaluated, the rate of the primary efficacy outcome did not differ significantly between the hypothermia group and the normothermia group (36% [48 of 133 patients] and 39% [48 of 124 patients], respectively; relative risk, 0.92; 95% confidence interval [CI], 0.67 to 1.27; P=0.63). Among 317 patients who could be evaluated for change in neurobehavioral function, the change in VABS-II score from baseline to 12 months did not differ significantly between the groups (P=0.70). Among 327 patients who could be evaluated for 1-year survival, the rate of 1-year survival did not differ significantly between the hypothermia group and the normothermia group (49% [81 of 166 patients] and 46% [74 of 161 patients], respectively; relative risk, 1.07; 95% CI, 0.85 to 1.34; P=0.56). The incidences of blood-product use, infection, and serious adverse events, as well as 28-day mortality, did not differ significantly between groups. CONCLUSIONS: Among comatose children who survived in-hospital cardiac arrest, therapeutic hypothermia, as compared with therapeutic normothermia, did not confer a significant benefit in survival with a favorable functional outcome at 1 year. (Funded by the National Heart, Lung, and Blood Institute; THAPCA-IH ClinicalTrials.gov number, NCT00880087 .).