Haemolysis is developing prominence in the setting of supporting increasingly complex children with heart failure with a ventricular assist device. The goal of this study is to better characterise haemolysis and its implications in children supported with pulsatile ventricular assist devices.

This is a single-centre retrospective review of 44 children who were supported by Berlin Heart EXCOR between January 2006 and June 2020. Patients were divided into major haemolysers and non-major haemolysers. Major haemolysers were defined as patients with lactate dehydrogenase > 500U/L (2.5x the upper limits of normal) with either total bilirubin > 2mg/dL (with predominantly indirect hyperbilirubinemia) or anaemia out of proportion to the clinical scenario more than three days following implantation of the ventricular assist device(s). Patient demographics, ventricular assist device factors, and outcomes, including end-organ function and mortality, were compared between major haemolysers and non-major haemolysers.

Forty-four patients supported by the Berlin EXCOR were included in the analytic cohort of the study: 27 major haemolysers and 17 non-major haemolysers. Major haemolysis was more common in those supported with single-ventricle ventricular assist device (i.e., VAD in the context of functionally univentricular anatomy) compared to those with biventricular hearts, p = 0.01. There were no patients with an isolated left ventricular assist device or isolated right ventricular assist device in our analytic cohort of 44 patients. Of the 19 patients with single-ventricle ventricular assist device, 84% (16/19) were major haemolysers. Of the 25 patients with a biventricular assist device, 44% (11/25) were major haemolysers. Major haemolysers and non-major haemolysers had a body surface area of 0.28 and 0.40, respectively (p = 0.01). Overall, survival to discharge from the hospital was 66% (n = 29/44). Survival to discharge from the hospital was 52% (14/27) in major haemolysers versus 88% (15/17) in non-major haemolysers, p = 0.02. Only 3 of the 27 with major haemolysis had severe haemolysis, that is, lactate dehydrogenase > 2000 and bilirubin above 10. Non-major haemolysers had a better improvement in creatinine clearance during ventricular assist device support, p < 0.0001. (During the same era of this study, 22 patients who were supported with Berlin Heart were excluded from the analytic cohort because they did not have any recorded measurement of lactate dehydrogenase. Seventeen of these 22 patients had no clinical evidence of haemolysis. Survival to discharge from the hospital in this excluded cohort was 86% [19/22].)

Major haemolysis in patients with pulsatile ventricular assist device is more likely with single-ventricle ventricular assist device support and smaller body surface area.

The delivery of paediatric cardiac care across the world occurs in settings with significant variability in available resources. Irrespective of the resources locally available, we must always strive to improve the quality of care we provide to our patients and simultaneously deliver such care in the most efficient and cost-effective manner. The development of cardiac networks is used widely to achieve these aims.

This paper reports three talks presented during the 56th meeting of the Association for European Paediatric and Congenital Cardiology held in Dublin in April 2023.

The three talks describe how centres of congenital cardiac excellence can be developed in low-income countries, middle-income countries, and well-resourced environments, and also reports how centres across different countries can come together to collaborate and deliver high-quality care. It is a fact that barriers to creating effective networks may arise from competition that may exist among programmes in unregulated and especially privatised health care environments. Nevertheless, reflecting on the creation of networks has important implications because collaboration between different centres can facilitate the maintenance of sustainable programmes of paediatric and congenital cardiac care.

This article examines the delivery of paediatric and congenital cardiac care in resource limited environments, well-resourced environments, and within collaborative networks, with the hope that the lessons learned from these examples can be helpful to other institutions across the world. It is important to emphasise that irrespective of the differences in resources across different continents, the critical principles underlying provision of excellent care in different environments remain the same.

In June of 2024, Becton Dickinson experienced a blood culture bottle shortage for their BACTEC system, forcing health systems to reduce usage or risk exhausting their supply. Virginia Commonwealth University Health System (VCUHS) in Richmond, VA decided that it was necessary to implement austerity measures to preserve the blood culture bottle supply.

VCUHS includes a main campus in Richmond, VA as well as two affiliate hospitals in South Hill, VA (Community Memorial Hospital (CMH)) and Tappahannock Hospital in Tappahannock, VA. It also includes a free-standing Emergency Department in New Kent, VA.

Blood cultures from both pediatric and adult patients were included in this study.

VCUHS intervened to decrease blood culture utilization across the entire health system. Interventions included communication of blood culture guidance as well as an electronic health record order designed to guide providers and discourage wasteful ordering.

Post-implementation analyses showed that interventions reduced overall usage by 35.6% (P < .0001) and by greater than 40% in the Emergency Departments. The impact of these changes in utilization on positivity were analyzed, and it was found that the overall positivity rate increased post-intervention from 8.8% to 12.1% (P = .0115) and in the ED specifically from 10.2% to 19.5% (P < .0001).

These findings strongly suggest that some basic stewardship interventions can significantly change blood culture practice in a manner that minimizes the impact on patient care.

Racial and ethnic variations in antibiotic utilization are well-reported in outpatient settings but little is known about inpatient settings. Our objective was to describe national inpatient antibiotic utilization among children by race and ethnicity.

This study included hospital visit data from the Pediatric Health Information System between 01/01/2022 and 12/31/2022 for patients <20 years. Primary outcomes were the percentage of hospitalization encounters that received an antibiotic and antibiotic days of therapy (DOT) per 1000 patient days. Mixed-effect regression models were used to determine the association of race-ethnicity with outcomes, adjusting for covariates.

There were 846,530 hospitalizations. 45.2% of children were Non-Hispanic (NH) White, 27.1% were Hispanic, 19.2% were NH Black, 4.5% were NH Other, 3.5% were NH Asian, 0.3% were NH Native Hawaiian/Other Pacific Islander (NHPI) and 0.2% were NH American Indian. Adjusting for covariates, NH Black children had lower odds of receiving antibiotics compared to NH White children (aOR 0.96, 95%CI 0.94–0.97), while NH NHPI had higher odds of receiving antibiotics (aOR 1.16, 95%CI 1.05–1.29). Children who were Hispanic, NH Asian, NH American Indian, and children who were NH Other received antibiotic DOT compared to NH White children, while NH NHPI children received more antibiotic DOT.

Antibiotic utilization in children’s hospitals differs by race and ethnicity. Hospitals should assess policies and practices that may contribute to disparities in treatment; antibiotic stewardship programs may play an important role in promoting inpatient pharmacoequity. Additional research is needed to examine individual diagnoses, clinical outcomes, and drivers of variation.

Congress directed the Secretary of Defense (DoD) to conduct a Pilot program to increase the National Disaster Medical System’s (NDMS) surge capacity, capabilities, and interoperability to support patient movement during a large-scale overseas contingency operation.

The Pilot conducted a mixed methods exploratory study, the Military-Civilian NDMS Interoperability Study (MCNIS), identifying 55 areas of solutions for NDMS innovation that align with interagency stakeholder interests. Priorities were determined via facilitated discussions, refined and validated by all five Pilot sites.

As the DoD provides essential support for the patient movement component within NDMS, the results highlighted areas for improvement between receiving patients at an airfield and moving them to NDMS definitive care partners during a large medical surge event. This includes patient tracking capabilities, transportation processes and patient placement.

In collaboration with the Departments of Health & Human Services, Homeland Security, Transportation, and Veterans Health Administration, the Pilot is addressing these areas for improvement, by executing site-specific projects that will be validated and identified for export across the system. Leaders across the Pilot site healthcare networks are working to enhance patient movement and tracking. Ultimately, the Pilot will deliver dozens of proven solutions to enhance the NDMS’s patient movement capabilities.

Artificial intelligence (AI) in emergency medicine has been increasingly studied over the past decade. However, the implementation of AI requires significant buy-in from end-users. This study explored desired clinical applications of AI by emergency physicians.

A 3-round Delphi process was undertaken using STAT59 software. An international expert panel was assembled through purposeful sampling to reflect a diversity in geography, age, time in practice, practice setting, role, and expertise. Items generated in Round 1 were collated by the study team and ranked in Rounds 2 and 3 on a 7-point linear numeric scale of importance. Consensus was defined as a standard deviation of 1.0 or less.

Of 66 invited experts, 29 completed Round 1, 25 completed Round 2, and 23 completed Round 3. Three statements reached consensus in Round 2 and four statements reached consensus in Round 3, including safe prescribing, guiding choice of drug, adjusting drug doses, identifying risk or prognosis, and reporting/interpreting investigation results.

Many desired clinical applications of AI in emergency medicine have not yet been explored. Clinical and technological experts should co-create new applications to ensure buy-in from all stakeholders. Specialty organizations can lead the way by establishing local clinical priorities.

The release of ChatGPT in November 2022 drastically lowered the barrier to artificial intelligence with an intuitive web-based interface to a large language model. This study addressed the research problem: “Can ChatGPT adequately triage simulated disaster patients using the Simple Triage and Rapid Treatment (START) tool?”

Five trained disaster medicine physicians developed nine prompts. A Python script queried ChatGPT Version 4 with each prompt combined with 391 validated patient vignettes. Ten repetitions of each combination were performed: 35190 simulated triages.

A valid START score was returned In 35102 queries (99.7%). There was considerable variability in the results. Repeatability (use of the same prompt repeatedly) was responsible for 14.0% of overall variation. Reproducibility (use of different prompts) was responsible for 4.1% of overall variation. Accuracy of ChatGPT for START was 61.4% with a 5.0% under-triage rate and a 33.6% over-triage rate. Accuracy varied by prompt between 45.8% and 68.6%.

This study suggests that the current ChatGPT large language model is not sufficient for triage of simulated patients using START due to poor repeatability and accuracy. Medical practitioners should be aware that while ChatGPT can be a valuable tool, it may lack consistency and may provide false information.

While many medical practitioners value the interactive nature of in-person conferences, results of these interactions are often poorly documented. The objective of this study was to pilot the Delphi method for developing consensus following a national conference and to compare the results between experts who did and did not attend.

A 3-round Delphi included experts attending the 2023 Society of Disaster Medicine and Health Preparedness Annual Meeting and experts who were members of the society but did not attend. Conference speakers provided statements related to their presentations. Experts rated the statements on a 1–7 scale for agreement using STAT59 software (STAT59 Services Ltd, Edmonton, Alberta, Canada). Consensus was defined as a standard deviation of ≤ 1.0.

Seventy-five statements were rated by 27 experts who attended and 10 who did not: 2634 ratings in total. There was no difference in the number of statements reaching consensus in the attending group (26/75) versus that of the nonattending group (27/75) (P = 0.89). However, which statements reached consensus differed between the groups.

The Delphi method is a viable method to document consensus from a conference. Advantages include the ability to involve large groups of experts, statistical measurement of the degree of consensus, and prioritization of the results.

Bicuspid aortic valve is the most common CHD and commonly associated with activity restrictions that may lead to a sedentary lifestyle known to increase obesity risk. It is unknown whether obesity is associated with changes in aortic dimensions or aortic valve function in young people with bicuspid aortic valve. This study investigates whether overweight and obese children with bicuspid aortic valve have worse aortic valve function or increased aortic dimensions compared to healthy weight children with bicuspid aortic valve.

This was a single centre retrospective cohort study comprised of patients 5 to 25 years old with a diagnosis of bicuspid aortic valve between 1 January, 2019 and 31 December, 2020. Patients were classified as healthy weight or overweight/obese. Values for aortic dimensions as well as peak and mean aortic valve gradients were obtained from echocardiogram reports.

About 251 patients were analysed. Demographics were similar between groups. When indexed to height, the aortic valve annulus (1.28 ± 0.14 vs. 1.34 ± 0.15, p = 0.001) and sinotubular junctions (1.44 ± 0.21 vs. 1.49 ± 0.24, p = 0.038) were larger in the overweight/obese group, with no differences in aortic root or ascending aorta sizes. The obese/overweight group had a higher peak aortic valve gradient (23.03 ± 1.64 mmHg vs. 16.17 ± 1.55 mmHg, p = 0.003) compared to the healthy weight group.

Healthy weight patients did not have larger aortic dimensions compared to the overweight/obese patients. There was evidence of worsening aortic valve stenosis in overweight/obese patients compared to those at a healthy weight.