Implementation Science Research in Pediatric Critical Care Medicine.

OBJECTIVES: Delay or failure to consistently adopt evidence-based or consensus-based best practices into routine clinical care is common, including for patients in the PICU. PICU patients can fail to receive potentially beneficial diagnostic or therapeutic interventions, worsening the burden of illness and injury during critical illness. Implementation science (IS) has emerged to systematically address this problem, but its use of in the PICU has been limited to date. We therefore present a conceptual and methodologic overview of IS for the pediatric intensivist. DESIGN: The members of Excellence in Pediatric Implementation Science (ECLIPSE; part of the Pediatric Acute Lung Injury and Sepsis Investigators Network) represent multi-institutional expertise in the use of IS in the PICU. This narrative review reflects the collective knowledge and perspective of the ECLIPSE group about why IS can benefit PICU patients, how to distinguish IS from quality improvement (QI), and how to evaluate an IS article. RESULTS: IS requires a shift in one's thinking, away from questions and outcomes that define traditional clinical or translational research, including QI. Instead, in the IS rather than the QI literature, the terminology, definitions, and language differs by specifically focusing on relative importance of generalizable knowledge, as well as aspects of study design, scale, and timeframe over which the investigations occur. CONCLUSIONS: Research in pediatric critical care practice must acknowledge the limitations and potential for patient harm that may result from a failure to implement evidence-based or professionals' consensus-based practices. IS represents an innovative, pragmatic, and increasingly popular approach that our field must readily embrace in order to improve our ability to care for critically ill children.

Inappropriate Shock Delivery Is Common During Pediatric In-Hospital Cardiac Arrest.

OBJECTIVES: To characterize inappropriate shock delivery during pediatric in-hospital cardiac arrest (IHCA). DESIGN: Retrospective cohort study. SETTING: An international pediatric cardiac arrest quality improvement collaborative Pediatric Resuscitation Quality [pediRES-Q]. PATIENTS: All IHCA events from 2015 to 2020 from the pediRES-Q Collaborative for which shock and electrocardiogram waveform data were available. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We analyzed 418 shocks delivered during 159 cardiac arrest events, with 381 shocks during 158 events at 28 sites remaining after excluding undecipherable rhythms. We classified shocks as: 1) appropriate (ventricular fibrillation [VF] or wide complex ≥ 150/min); 2) indeterminate (narrow complex ≥ 150/min or wide complex 100-149/min); or 3) inappropriate (asystole, sinus, narrow complex < 150/min, or wide complex < 100/min) based on the rhythm immediately preceding shock delivery. Of delivered shocks, 57% were delivered appropriately for VF or wide complex rhythms with a rate greater than or equal to 150/min. Thirteen percent were classified as indeterminate. Thirty percent were delivered inappropriately for asystole (6.8%), sinus (3.1%), narrow complex less than 150/min (11%), or wide complex less than 100/min (8.9%) rhythms. Eighty-eight percent of all shocks were delivered in ICUs or emergency departments, and 30% of those were delivered inappropriately. CONCLUSIONS: The rate of inappropriate shock delivery for pediatric IHCA in this international cohort is at least 30%, with 23% delivered to an organized electrical rhythm, identifying opportunity for improvement in rhythm identification training.

The Risk of Coding Racism into Pediatric Sepsis Care: The Necessity of Antiracism in Machine Learning.

Machine learning holds the possibility of improving racial health inequalities by compensating for human bias and structural racism. However, unanticipated racial biases may enter during model design, training, or implementation and perpetuate or worsen racial inequalities if ignored. Pre-existing racial health inequalities could be codified into medical care by machine learning without clinicians being aware. To illustrate the importance of a commitment to antiracism at all stages of machine learning, we examine machine learning in predicting severe sepsis in Black children, focusing on the impacts of structural racism that may be perpetuated by machine learning and difficult to discover. To move toward antiracist machine learning, we recommend partnering with ethicists and experts in model development, enrolling representative samples for training, including socioeconomic inputs with proximate causal associations to racial inequalities, reporting outcomes by race, and committing to equitable models that narrow inequality gaps or at least have equal benefit.

Weight-Based Versus Flat Dosing of Epinephrine During Cardiac Arrest in the PICU: A Multicenter Survey.

OBJECTIVES: Pediatric Advanced Life Support (PALS) guidelines include weight-based epinephrine dosing recommendations of 0.01 mg/kg with a maximum of 1 mg, which corresponds to a weight of 100 kg. Actual practice patterns are unknown. DESIGN: Multicenter cross-sectional survey regarding institutional practices for the transition from weight-based to flat dosing of epinephrine during cardiopulmonary resuscitation in PICUs. Exploratory analyses compared epinephrine dosing practices with several institutional characteristics using Fisher exact test. SETTING: Internet-based survey. SUBJECTS: U.S. PICU representatives (one per institution) involved in resuscitation systems of care. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Of 137 institutions surveyed, 68 (50%) responded. Most responding institutions are freestanding children's hospitals or dedicated children's hospitals within combined adult/pediatric hospitals (67; 99%); 55 (81%) are academic and 41 (60%) have PICU fellowship programs. Among respondents, institutional roles include PICU medical director (13; 19%), resuscitation committee member (23; 34%), and attending physician with interest in resuscitation (21; 31%). When choosing between weight-based and flat dosing, 64 respondents (94%) report using patient weight, 23 (34%) patient age, and five (7%) patient pubertal stage. Among those reporting using weight, 28 (44%) switch at 50 to less than 60 kg, 17 (27%) at 60 to less than 80 kg, five (8%) at 80 to less than 100 kg, and eight (12%) at greater than or equal to 100 kg. Among those reporting using age, four (17%) switch at 14 to less than 16 years, five (22%) at 16 to less than 18, and six (26%) at greater than or equal to 18. Twenty-nine respondents (43%) report using ideal body weight when dosing epinephrine in obese patients. Using patient age in choosing epinephrine dosing is more common in institutions that require Advanced Cardiac Life Support (ACLS) certification for some/all code team responders compared with institutions that do not require ACLS certification (52% vs 22%; p = 0.02). CONCLUSIONS: The majority of PICUs surveyed report epinephrine dosing practices that are inconsistent with PALS guidelines.

Inferior and Superior Vena Cava Saturation Monitoring After Neonatal Cardiac Surgery.

OBJECTIVES: Superior vena cava oxygen saturation (SVC O 2 ) monitoring is well described for early detection of hemodynamic deterioration after neonatal cardiac surgery but inferior vena cava vein oxygen saturation (IVC O 2 ) monitoring data are limited. DESIGN: Retrospective cohort study of 118 neonates with congenital heart disease (52 single ventricle) from February 2008 to January 2014. SETTING: Pediatric cardiac ICU. PATIENTS: Neonates (< 30 d) with concurrent admission IVC O 2 and SVC O 2 measurements after cardiac surgery with cardiopulmonary bypass. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary aim was to correlate admission IVC O 2 and SVC O 2 . Secondary aims included: correlate flank or cerebral near-infrared spectroscopy with IVC O 2 and SVC O 2 , respectively, and exploratory analysis to evaluate associations between oximetry data and a composite adverse outcome defined as any of the following: increasing serum lactate or vasoactive support at 2 hours post-admission, cardiac arrest, or mortality. Admission IVC O 2 and SVC O 2 correlated ( r = 0.54; p < 0.001). However, IVC O 2 measurements were significantly lower than paired SVC O 2 (mean difference, -6%; 95% CI, -8% to -4%; p < 0.001) with wide variability in sample agreement. Logistic regression showed that each 12% decrease in IVC O 2 was associated with a 12-fold greater odds of the composite adverse outcome (odds ratio [OR], 12; 95% CI, 3.9-34; p < 0.001). We failed to find an association between SVC O 2 and increased odds of the composite adverse outcome (OR, 1.8; 95% CI, 0.99-3.3; p = 0.053). In an exploratory analysis, the area under the receiver operating curve for IVC O 2 and SVC O 2 , and the composite adverse outcome, was 0.85 (95% CI, 0.77-0.92) and 0.63 (95% CI, 0.52-0.73), respectively. Admission IVC O 2 had strong correlation with concurrent flank near-infrared spectroscopy value ( r = 0.74; p < 0.001). SVC O 2 had a weak association with cerebral near-infrared spectroscopy ( r = 0.22; p = 0.02). CONCLUSIONS: In postoperative neonates, admission IVC O 2 and SVC O 2 correlate. Lower admission IVC O 2 may identify a cohort of postsurgical neonates at risk for low cardiac output and associated morbidity.

Assessment of a Situation Awareness Quality Improvement Intervention to Reduce Cardiac Arrests in the PICU.

OBJECTIVES: To use improved situation awareness to decrease cardiopulmonary resuscitation events by 25% over 18 months and demonstrate process and outcome sustainability. DESIGN: Structured quality improvement initiative. SETTING: Single-center, 35-bed quaternary-care PICU. PATIENTS: All patients admitted to the PICU from February 1, 2017, to December 31, 2020. INTERVENTIONS: Interventions targeted situation awareness and included bid safety huddles, bedside mitigation signs and huddles, smaller pod-based huddles, and an automated clinical decision support tool to identify high-risk patients. MEASUREMENTS AND MAIN RESULTS: The primary outcome metric, cardiopulmonary resuscitation event rate per 1,000 patient-days, decreased from a baseline of 3.1-1.5 cardiopulmonary resuscitation events per 1,000 patient-days or by 52%. The secondary outcome metric, mortality rate, decreased from a baseline of 6.6 deaths per 1,000 patient-days to 3.6 deaths per 1,000 patient-days. Process metrics included percent of clinical deterioration events predicted, which increased from 40% to 67%, and percent of high-risk patients with shared situation awareness, which increased from 43% to 71%. Balancing metrics included time spent in daily safety huddle, median 0.4 minutes per patient (interquartile range, 0.3-0.5), and a number needed to alert of 16 (95% CI, 14-25). Neither unit acuity as measured by Pediatric Risk of Mortality III scores nor the percent of deaths in patients with do-not-attempt resuscitation orders or electing withdrawal of life-sustaining technologies changed over time. CONCLUSIONS: Interprofessional teams using shared situation awareness may reduce cardiopulmonary resuscitation events and, thereby, improve outcomes.

Improving CPR Quality by Using a Real-Time Feedback Defibrillator During Pediatric Simulation Training.

OBJECTIVE: The aim of this study was to assess the effectiveness of a defibrillator with real-time feedback during code team training to improve adherence to the American Heart Association (AHA) resuscitation guidelines. METHODS: This is a retrospective cohort study designed to compare pediatric resident adherence to the AHA cardiopulmonary resuscitation guidelines before and after use of real-time feedback defibrillator during code team training simulation. After institution of a real-time feedback defibrillator, first-year resident's adherence to the AHA guidelines for chest compression rate (CCR), fraction, and depth during code team training from January 2017 to December 2018 was analyzed. It was then compared with results of a previously published study from our institution that analyzed the CCR and fraction from January 2015 to January 2016, before the implementation of a defibrillator with real-time feedback. RESULTS: We compared 19 eligible session preintervention and 36 postintervention sessions. Chest compression rate and chest compression fraction (CCF) were assessed preintervention and postintervention. The depth of compression was only available postintervention. There was improvement in the proportion of code team training sessions with mean compression rate (74% preintervention vs 100% postintervention, P = 0.003) and mean CCF (79% vs 97%, P = 0.04) in adherence with the AHA guideline. CONCLUSIONS: The use of real-time feedback defibrillators improved the adherence to the AHA cardiopulmonary resuscitation guidelines for CCF and CCR during pediatric resident simulation.

Code Team Structure and Training in the Pediatric Resuscitation Quality International Collaborative.

OBJECTIVES: Code team structure and training for pediatric in-hospital cardiac arrest are variable. There are no data on the optimal structure of a resuscitation team. The objective of this study is to characterize the structure and training of pediatric code teams in sites participating in the Pediatric Resuscitation Quality Collaborative. METHODS: From May to July 2017, an anonymous voluntary survey was distributed to 18 sites in the international Pediatric Resuscitation Quality Collaborative. The survey content was developed by the study investigators and iteratively adapted by consensus. Descriptive statistics were calculated. RESULTS: All sites have a designated code team and hospital-wide code team activation system. Code team composition varies greatly across sites, with teams consisting of 3 to 17 members. Preassigned roles for code team members before the event occur at 78% of sites. A step stool and backboard are used during resuscitations in 89% of surveyed sites. Cardiopulmonary resuscitation (CPR) feedback is used by 72% of the sites. Of those sites that use CPR feedback, all use an audiovisual feedback device incorporated into the defibrillator and 54% use a CPR coach. Multidisciplinary and simulation-based code team training is conducted by 67% of institutions. CONCLUSIONS: Code team structure, equipment, and training vary widely in a survey of international children's hospitals. The variations in team composition, role assignments, equipment, and training described in this article will be used to facilitate future studies regarding the impact of structure and training of code teams on team performance and patient outcomes.

eStablish And Formalize Expert Criteria for Avoidable Resuscitation Review (SAFECARR) Electronic Delphi: Development of a Consensus Framework for Classifying and Reviewing Cardiac Arrests Within the PICU.

OBJECTIVES: To develop a consensus framework that can guide the process of classifying and reviewing pediatric in-hospital cardiac arrest in the PICU. DESIGN: A three-round electronic Delphi consensus study with an additional in-person session with pediatric resuscitation experts. The modified electronic Delphi consisted of survey questions sent to the expert panel with the goals of (1) achieving consensus on definitions of avoidable, potentially avoidable, and unavoidable PICU in-hospital cardiac arrest and (2) achieving consensus and ranking of a list of factors that contribute to potentially avoidable PICU in-hospital cardiac arrest. SETTING: Electronic surveys of resuscitation experts including pediatric critical care, cardiac critical care, emergency medicine, and hospital medicine physicians, nurses, advance practice nurses, and resuscitation researchers. PATIENTS: Not applicable. INTERVENTIONS: Not applicable. MEASUREMENTS AND MAIN RESULTS: Over three rounds of an electronic Delphi, 24 resuscitation experts participated. In Round 1, consensus was reached for the definitions of potentially avoidable and unavoidable cardiac arrest. Consensus was not reached for avoidable cardiac arrest. In Round 2, the expert panel agreed with seven factors from the literature and achieved consensus on an additional seven factors. Consensus was achieved on the modified definition of avoidable cardiac arrest. In Round 3, participants were asked to rank the contributing factors in order of their importance. For the in-person session, the consensus definitions and contributing factors from the modified electronic Delphi were presented to a multidisciplinary group of pediatric resuscitation experts and reached consensus for all three definitions. CONCLUSIONS: A multidisciplinary group of pediatric resuscitation experts generated a consensus-based framework to classify and review pediatric in-hospital cardiac arrest in the PICU. Future work will focus on the application of this framework and further validation of these definitions and contributing factors for in-hospital cardiac arrest both within and outside the PICU.

Performance of a Clinical Decision Support Tool to Identify PICU Patients at High Risk for Clinical Deterioration.

OBJECTIVES: To evaluate the translation of a paper high-risk checklist for PICU patients at risk of clinical deterioration to an automated clinical decision support tool. DESIGN: Retrospective, observational cohort study of an automated clinical decision support tool, the PICU Warning Tool, adapted from a paper checklist to predict clinical deterioration events in PICU patients within 24 hours. SETTING: Two quaternary care medical-surgical PICUs-The Children's Hospital of Philadelphia and Cincinnati Children's Hospital Medical Center. PATIENTS: The study included all patients admitted from July 1, 2014, to June 30, 2015, the year prior to the initiation of any focused situational awareness work at either institution. INTERVENTIONS: We replicated the predictions of the real-time PICU Warning Tool by retrospectively querying the institutional data warehouse to identify all patients that would have flagged as high-risk by the PICU Warning Tool for their index deterioration. MEASUREMENTS AND MAIN RESULTS: The primary exposure of interest was determination of high-risk status during PICU admission via the PICU Warning Tool. The primary outcome of interest was clinical deterioration event within 24 hours of a positive screen. The date and time of the deterioration event was used as the index time point. We evaluated the sensitivity, specificity, positive predictive value, and negative predictive value of the performance of the PICU Warning Tool. There were 6,233 patients evaluated with 233 clinical deterioration events experienced by 154 individual patients. The positive predictive value of the PICU Warning Tool was 7.1% with a number needed to screen of 14 patients for each index clinical deterioration event. The most predictive of the individual criteria were elevated lactic acidosis, high mean airway pressure, and profound acidosis. CONCLUSIONS: Performance of a clinical decision support translation of a paper-based tool showed inferior test characteristics. Improved feasibility of identification of high-risk patients using automated tools must be balanced with performance.

Pediatric Resuscitation Practices During the Coronavirus Disease 2019 Pandemic.

OBJECTIVES: While most pediatric coronavirus disease 2019 cases are not life threatening, some children have severe disease requiring emergent resuscitative interventions. Resuscitation events present risks to healthcare provider safety and the potential for compromised patient care. Current resuscitation practices and policies for children with suspected/confirmed coronavirus disease 2019 are unknown. DESIGN: Multi-institutional survey regarding inpatient resuscitation practices during the coronavirus disease 2019 pandemic. SETTING: Internet-based survey. SUBJECTS: U.S. PICU representatives (one per institution) involved in resuscitation system planning and oversight. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Of 130 institutions surveyed, 78 (60%) responded. Forty-eight centers (62%) had admitted coronavirus disease 2019 patients; 26 (33%) reported code team activation for patients with suspected/confirmed coronavirus disease 2019. Sixty-seven respondents (86%) implemented changes to inpatient emergency response systems. The most common changes were as follows: limited number of personnel entering patient rooms (75; 96%), limited resident involvement (71; 91%), and new or refined team roles (74; 95%). New or adapted technology is being used for coronavirus disease 2019 resuscitations in 58 centers (74%). Most institutions (57; 73%) are using enhanced personal protective equipment for all coronavirus disease 2019 resuscitation events; 18 (23%) have personal protective equipment policies dependent on the performance of aerosol generating procedures. Due to coronavirus disease 2019, most respondents are intubating earlier during cardiopulmonary resuscitation (56; 72%), utilizing video laryngoscopy (67; 86%), pausing chest compressions during laryngoscopy (56; 72%), and leaving patients connected to the ventilator during cardiopulmonary resuscitation (56; 72%). Responses were varied regarding airway personnel, prone cardiopulmonary resuscitation, ventilation strategy during cardiopulmonary resuscitation without an airway in place, and extracorporeal cardiopulmonary resuscitation. Most institutions (46; 59%) do not have policies regarding limitations of resuscitation efforts in coronavirus disease 2019 patients. CONCLUSIONS: Most U.S. pediatric institutions rapidly adapted their resuscitation systems and practices in response to the coronavirus disease 2019 pandemic. Changes were commonly related to team members and roles, personal protective equipment, and airway and breathing management, reflecting attempts to balance quality resuscitation with healthcare provider safety.

State of the Unit: Physician Gender Diversity in Pediatric Critical Care Medicine Leadership.

Gender disparities in leadership are receiving increased attention throughout medicine and medical subspecialties. Little is known about the disparities in Pediatric Critical Care Medicine. In this piece, we explore gender disparities in Pediatric Critical Care Medicine physician leadership. We examine physician leadership in the Accreditation Council for Graduate Medical Education fellowship programs, as well as a limited sample of major Pediatric Critical Care Medicine textbooks and societies. Overall, the gender composition of division directors is not significantly different from that of workforce composition, although regional differences exist. More women than men lead fellowship programs, at a higher ratio compared with workforce composition. However, greater gender disparities are present in editorial leadership in this limited analysis. We conclude by recommending potential paths forward for further study and intervention, such as tracking gender diversity and being cognizant of the unique challenges that women currently experience in professional advancement.