Faculty Bibliography

BACKGROUND:Despite a high incidence of tracheostomy-related airway complications with potentially life-threatening implications, nonsurgical tracheostomy first-responders receive limited formal education on the management of tracheostomy emergencies. While the U.K. has developed multidisciplinary guidelines and education for tracheostomy emergencies, such programs have not been widely implemented in the United States. OBJECTIVE:We evaluated the feasibility and effectiveness of an immersive virtual reality (VR) simulation training as a potential generalizable and scalable approach to tracheostomy-related emergency training. METHODS:Over the academic year 2023-2024, critical care fellows were randomized to participate in tracheostomy emergency training either via immersive VR simulation or via small group discussion sessions facilitated by expert faculty. After each case-based educational intervention, participants were asked to manage four simulated tracheostomy-related emergencies involving common tracheostomy complications. Fellow performance was evaluated using a purpose-built task trainer. Three independent and blinded graders completed fellow scoring using a checklist assessment for which validation evidence was also collected. Fellows received pre- and post-intervention surveys to measure attitudes towards VR training. RESULTS:Nineteen out of 27 eligible fellows participated in the study, managing a total of 76 simulated tracheostomy emergencies. There were 10 fellows in the VR arm and 9 fellows in the Small Group arm. Out of a total possible 26 points on the checklist assessment, fellows in the VR group scored an average of 18.03 ± 3.39 compared to the Small Group score of 16.96 ± 4.41 (P = .558). Surveys indicated improvements in fellow confidence after the training and high levels of acceptance of the VR curriculum. CONCLUSIONS:An immersive VR educational intervention for the management of tracheostomy-related emergencies was feasible and well-received by learners. There was no significant difference in post-training checklist assessment scores between the VR and Small Group participants, suggesting non-inferiority of the VR intervention, and contributing validation evidence to our task trainer simulation assessment. FUNDING/BACKGROUND:This study was funded via the APCCMPD, CHEST, and ATS Education Research Award.

OBJECTIVES/OBJECTIVE:Extracorporeal membrane oxygenation (ECMO) is a life-saving therapy for severe cardiopulmonary failure, but structured training remains constrained by costs, logistics, and the absence of validated high-fidelity simulators. This study aimed to develop an ECMO digital twin capable of supporting training in virtual reality (VR). METHODS:We integrated high-frequency ECMO machine data with electronic health record information from 335 patients across two centres. Data streams were synchronised at a 30-second resolution. A hierarchical two-stage system was designed: Model 1 predicted ECMO device outputs, while Model 2 combined those outputs with patient vital functions such as heart rate and blood pressure. This model was integrated into a VR simulation and underwent testing by 21 experts. RESULTS:Model 2 demonstrated Root Mean Square Errors (RMSE) of 15.23 mmHg (diastolic arterial blood pressure), 19.50BPM (heart rate), 2.94% (peripheral oxygen saturation), and 1.42 mmHg (end-tidal carbon dioxide) on the test set. Neural networks produced clinically coherent predictions. The models were implemented in an Unreal Engine-based VR simulator using the open neural network exchange format, with real-time latency inference and scenario switching. Expert testing confirmed good performance and clinically plausible physiological responses in the simulation. CONCLUSIONS:High-resolution ECMO data can be transformed into a digital twin for VR training. This framework broadens access to advanced ECMO education and establishes a foundation for multicentre validation, federated learning, and future expansion towards a critical-care digital-twin platform.

Extended reality (XR) modalities in health care are quickly evolving. There is a lack of systematically described developmental process and the "how to" execute a business-case guidance. This article formulates a systematic approach on the technical developmental steps and generation of business-case to guide the iterative development of an XR tool. An international expert group was established and several available frameworks related to entrepreneurship and business-case development were used to generate recommendations. Our ongoing experience with the development life cycle of an XR tool for cardiopulmonary resuscitation training is provided as a real-life case illustration. Market demand, value proposition, stakeholder analyses, and profitability scenarios are captured with a business model canvas. Developmental process is divided into 4 aspects: Desirability, Feasibility, Viability, and Scalability. Technical- and Investment Readiness Level models are used in defining the technical feasibility and the business viability and scalability, respectively. Best practice recommendations including examples are provided. Health care professionals, health care financers, and health care policymakers are urged to consider the provided systematic approach and recommendations prior to starting a venture with XR.

Despite a rapidly evolving role for advanced therapeutic interventions, the majority of patients with high-risk pulmonary embolism (PE) are still undertreated. Due to complex diagnosis and management, along with a high associated mortality rate, high-risk PE offers an excellent opportunity for simulation training. We present a simulated case of high-risk PE in a post-operative patient that is designed to teach key principles of diagnosis and management. The script is widely adaptable to many institutions and customisable to diverse learner populations.

Imaging plays a major role in the care of the intensive care unit (ICU) patients. An understanding of the monitoring devices is essential for the interpretation of imaging studies. An awareness of their expected locations aids in identifying complications in a timely manner. This review describes the imaging of ICU monitoring and support catheters, tubes, and pulmonary and cardiac devices, some more commonly encountered and others that have been introduced into clinical patient care more recently. Special focus will be placed on chest radiography and potential pitfalls encountered.

Cerebrospinal fluid (CSF) diversion for hydrocephalus via ventriculoperitoneal (VP) shunting is one of the most commonly performed neurosurgical procedures. Unfortunately, VP shunting also carries a high complication rate. While long-term complications of VP shunting are generally well-described, the literature on more acute, iatrogenic injury during shunt placement is essentially limited to easily identifiable intracranial bleeds. Herein is presented the first reported case of iatrogenic abdominal wall vessel injury as a consequence of blind distal VP shunt catheter placement causing a critical haemoperitoneum that necessitated multiple transfusions. Presentation and recognition of this bleed was delayed as it occurred over a number of days. Injury to the inferior epigastric artery, or potentially a distal branch of the superficial epigastric artery, is suspected to have occurred during either blind subcutaneous tunnelling of the shunt catheter passage or during penetration of the peritoneum. Haemoperitoneum as a potential complication of procedures involving manipulation or penetration of the abdominal wall (i.e. paracentesis) is well-described in the medical and general surgical literature, and ultrasound-guidance has been widely adopted to mitigate bleeding in these cases. Familiarity with intra-abdominal haemorrhage as a potential complication of VP shunting and an understanding of its presentation is critical for timely identification of this phenomenon. Furthermore, the use of real-time ultrasound-guidance for tunnelling and distal shunt catheter placement may decrease the incidence of intrabdominal complications after shunt placement more generally and should be considered an area of future study.

STATEMENT/UNASSIGNED:The dramatic outbreak of COVID-19 placed unprecedented strain on the critical care workforce of New York City. The enhanced precautions required to safely care for COVID-19 patients impacted the performance of even routine critical care procedures. Meanwhile, staff were stretched to care for exponentially rising case volume as COVID intensive care units (ICUs) expanded. Simulation was used to bridge these gaps-first to familiarize personnel within the Division of Pulmonary and Critical Care with revised COVID-19 care procedures, then to orient noncritical care clinicians volunteering from other specialties for COVID ICU deployment to general critical care and COVID-19 care principles. Using mannequin-based simulation scenarios followed by comprehensive debriefing sessions, simulation participants received high-intensity, high-fidelity training in respiratory failure, circulatory failure, bedside ultrasound, bedside ICU procedures, and elements of COVID-19-specific care. More than 200 physicians and advanced practice practitioners completed simulation training in preparation for deployment, supplementing and enhancing the ICU workforce at a decisive time during the outbreak.