Garbage In, Garbage Out? Negative Impact of Physiological Waveform Artifacts in a Hospital Clinical Data Warehouse.

Hospitals around the world are deploying increasingly advanced systems to collect and store high-resolution physiological patient data for quality improvement and research. However, data accuracy, completeness, consistency, and contextual validity remain issues. This report highlights a data artifact known as waveform clipping in our hospital's physiological data capture system that went unnoticed for years, limiting data analysis and delaying several research projects.

Comparing ChatGPT and a Single Anesthesiologist's Responses to Common Patient Questions: An Exploratory Cross-Sectional Survey of a Panel of Anesthesiologists.

Increased patient access to electronic medical records and resources has resulted in higher volumes of health-related questions posed to clinical staff, while physicians' rising clinical workloads have resulted in less time for comprehensive, thoughtful responses to patient questions. Artificial intelligence chatbots powered by large language models (LLMs) such as ChatGPT could help anesthesiologists efficiently respond to electronic patient inquiries, but their ability to do so is unclear. A cross-sectional exploratory survey-based study comprised of 100 anesthesia-related patient question/response sets based on two fictitious simple clinical scenarios was performed.

Using machine learning to predict five-year transplant-free survival among infants with hypoplastic left heart syndrome.

Hypoplastic left heart syndrome (HLHS) is a congenital malformation commonly treated with palliative surgery and is associated with significant morbidity and mortality. Risk stratification models have often relied upon traditional survival analyses or outcomes data failing to extend beyond infancy. Individualized prediction of transplant-free survival (TFS) employing machine learning (ML) based analyses of outcomes beyond infancy may provide further valuable insight for families and healthcare providers along the course of a staged palliation.

Precision Anesthesia in 2050.

Over the last few decades, the field of anesthesia has advanced far beyond its humble beginnings. Today's anesthetics are better and safer than ever, thanks to innovations in drugs, monitors, equipment, and patient safety.1-4 At the same time, we remain limited by our herd approach to medicine.

A machine-learning approach for decision support and risk stratification of pediatric perioperative patients based on the APRICOT dataset.

Background: Pediatric anesthesia has evolved to a high level of patient safety, yet a small chance remains for serious perioperative complications, even in those traditionally considered at low risk. In practice, prediction of at-risk patients currently relies on the American Society of Anesthesiologists Physical Status (ASA-PS) score, despite reported inconsistencies with this method.

Aims: The goal of this study was to develop predictive models that can classify children as low risk for anesthesia at the time of surgical booking and after anesthetic assessment on the procedure day.

STBUR: Sleep trouble breathing and unrefreshed questionnaire: Evaluation of screening tool for postanesthesia care and disposition.

Background: The Snoring, Trouble Breathing, and Un-Refreshed (STBUR) questionnaire is a five-question screening tool for pediatric sleep-disordered breathing and risk for perioperative respiratory adverse events in children. The utility of this questionnaire as a preoperative risk-stratification tool has not been investigated. In view of limited availability of screening tools for preoperative pediatric sleep-disordered breathing, we evaluated the questionnaire's performance for postanesthesia adverse events that can impact postanesthesia care and disposition.

A retrospective study of the impact of supraglottic airway devices on the appearance of neck masses in children undergoing serial magnetic resonance imaging.

Background: General anesthesia and sedation are used routinely for magnetic resonance imaging (MRI) studies in children to optimize image quality. Airway devices such as supraglottic airways (SGAs) can alter the appearance of cervical soft tissue regions on an MRI and increase the risk of misdiagnosis. This phenomenon has not been well described in vivo.

The Migration of Caudally Threaded Thoracic Epidural Catheters in Neonates and Infants.

Background: The migration of pediatric thoracic epidural catheters via a thoracic insertion site has been described. We assessed the migration of caudally threaded thoracic epidural catheters in neonates and infants at our institution.

Methods: The anesthesia records and diagnostic imaging studies of neonates and infants who had caudal epidural catheters placed during a 26-month period at our hospital were analyzed.

Design and Implementation of a Visual Analytics Electronic Antibiogram within an Electronic Health Record System at a Tertiary Pediatric Hospital.

Background: Hospitals use antibiograms to guide optimal empiric antibiotic therapy, reduce inappropriate antibiotic usage, and identify areas requiring intervention by antimicrobial stewardship programs. Creating a hospital antibiogram is a time-consuming manual process that is typically performed annually.

Objective: We aimed to apply visual analytics software to electronic health record (EHR) data to build an automated, electronic antibiogram ("e-antibiogram") that adheres to national guidelines and contains filters for patient characteristics, thereby providing access to detailed, clinically relevant, and up-to-date antibiotic susceptibility data.

Extubation in the operating room after pediatric liver transplant: A retrospective cohort study.

Background: Early extubation immediately following liver transplantation is increasingly common in adult practice. Some pediatric institutions have begun to adopt this strategy. Careful patient selection is essential in minimizing risk.

Anesthesia Information Management Systems.

Anesthesia information management systems (AIMS) have evolved from simple, automated intraoperative record keepers in a select few institutions to widely adopted, sophisticated hardware and software solutions that are integrated into a hospital's electronic health record system and used to manage and document a patient's entire perioperative experience. AIMS implementations have resulted in numerous billing, research, and clinical benefits, yet there remain challenges and areas of potential improvement to AIMS utilization. This article provides an overview of the history of AIMS, the components and features of AIMS, and the benefits and challenges associated with implementing and using AIMS.

Neural Network Classifier for Automatic Detection of Invasive Versus Noninvasive Airway Management Technique Based on Respiratory Monitoring Parameters in a Pediatric Anesthesia.

Children undergoing general anesthesia require airway monitoring by an anesthesia provider. The airway may be supported with noninvasive devices such as face mask or invasive devices such as a laryngeal mask airway or an endotracheal tube. The physiologic data stored provides an opportunity to apply machine learning algorithms distinguish between these modes based on pattern recognition.

The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.

Venous thromboembolism (VTE) is a potentially life-threatening condition that includes both deep vein thrombosis (DVT) and pulmonary embolism. We sought to improve detection and reporting of children with a new diagnosis of VTE by applying natural language processing (NLP) tools to radiologists' reports. We validated an NLP tool, Reveal NLP (Health Fidelity Inc, San Mateo, CA) and inference rules engine's performance in identifying reports with deep venous thrombosis using a curated set of ultrasound reports.

Using High-Technology Simulators to Prepare Anesthesia Providers Before Implementation of a New Electronic Health Record Module: A Technical Report.

Learning to use a new electronic anesthesia information management system can be challenging. Documenting anesthetic events, medication administration, and airway management in an unfamiliar system while simultaneously caring for a patient with the vigilance required for safe anesthesia can be distracting and risky. This technical report describes a vendor-agnostic approach to training using a high-technology manikin in a simulated clinical scenario.

The timing and prevalence of intraoperative hypotension in infants undergoing laparoscopic pyloromyotomy at a tertiary pediatric hospital.

Background: Intraoperative hypotension may be associated with adverse outcomes in children undergoing surgery. Infants and neonates under 6 months of age have less autoregulatory cerebral reserve than older infants, yet little information exists regarding when and how often intraoperative hypotension occurs in infants.

Aims: To better understand the epidemiology of intraoperative hypotension in infants, we aimed to determine the prevalence of intraoperative hypotension in a generally uniform population of infants undergoing laparoscopic pyloromyotomy.

Pediatric perioperative adverse events requiring rapid response: a retrospective case-control study.

Background: Perioperative pediatric adverse events have been challenging to study within and across institutions due to varying definitions, low event rates, and incomplete capture.

Aim: The aim of this study was to determine perioperative adverse event prevalence and to evaluate associated case characteristics and potential contributing factors at an academic pediatric quaternary-care center.

Methods: At the Children's Hospital of Philadelphia (CHOP), perioperative adverse events requiring rapid response assistance are termed Anesthesia Now (AN!) events.

Increasing cumulative exposure to volatile anesthetic agents is associated with poorer neurodevelopmental outcomes in children with hypoplastic left heart syndrome.

Objectives: Despite improved survival in children with hypoplastic left heart syndrome (HLHS), significant concern persists regarding their neurodevelopmental (ND) outcomes. Previous studies have identified patient factors, such as prematurity and genetic syndromes, to be associated with worse ND outcomes. However, no consistent relationships have been identified among modifiable management factors, including cardiopulmonary bypass strategies, and ND outcomes after cardiac surgery in infancy.

Anesthetic management of the first pediatric bilateral hand transplant.

Purpose: The purpose of this case report is to describe the anesthetic and case management of the first vascularized composite allograft pediatric bilateral hand transplant.

Clinical Details: Our patient was an eight-year-old male with a medical history of Staphylococcus aureus sepsis at one year of age that resulted in end-stage renal disease as well as bilateral upper and lower extremity amputations. After referral for bilateral hand transplantation, the transplantation team, with expertise in all aspects of perioperative care (surgery, anesthesiology, nephrology, renal transplantation, pediatric intensive care, and therapeutic pharmacy), was consulted to help develop anesthetic and other perioperative protocols for surgery.