A Prospective Observational Study of EHR-Based Versus Virtual Desktop-Based Access to Pediatric Anesthesia Emergency Algorithms.

When pediatric anesthesia emergencies occur, situations can deteriorate rapidly. At our hospital, the Society for Pediatric Anesthesia's (SPA) emergency algorithms are used as cognitive aids during crises, and nurses are tasked with accessing the algorithms. Operating room nurses' typical workflow includes continuous display of the of the electronic health record (EHR) intraoperative navigator, which can delay navigating to the virtual desktop window and the algorithms' icon. Thus, we implemented a button in the intraoperative navigator's toolbar to access the algorithms with one click. We conducted an observational study of the time required to access and display overhead an algorithm using the new button and old method. We surveyed participants on usability.

Diffusion-Weighted Imaging Fluid-Attenuated Inversion Recovery Mismatch on Portable, Low-Field Magnetic Resonance Imaging Among Acute Stroke Patients.

OBJECTIVE: For stroke patients with unknown time of onset, mismatch between diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) can guide thrombolytic intervention. However, access to MRI for hyperacute stroke is limited. Here, we sought to evaluate whether a portable, low-field (LF)-MRI scanner can identify DWI-FLAIR mismatch in acute ischemic stroke. METHODS: Eligible patients with a diagnosis of acute ischemic stroke underwent LF-MRI acquisition on a 0.064-T scanner within 24 h of last known well. Qualitative and quantitative metrics were evaluated. Two trained assessors determined the visibility of stroke lesions on LF-FLAIR. An image coregistration pipeline was developed, and the LF-FLAIR signal intensity ratio (SIR) was derived. RESULTS: The study included 71 patients aged 71 ± 14 years and a National Institutes of Health Stroke Scale of 6 (interquartile range 3-14). The interobserver agreement for identifying visible FLAIR hyperintensities was high (κ = 0.85, 95% CI 0.70-0.99). Visual DWI-FLAIR mismatch had a 60% sensitivity and 82% specificity for stroke patients <4.5 h, with a negative predictive value of 93%. LF-FLAIR SIR had a mean value of 1.18 ± 0.18 <4.5 h, 1.24 ± 0.39 4.5-6 h, and 1.40 ± 0.23 >6 h of stroke onset. The optimal cut-point for LF-FLAIR SIR was 1.15, with 85% sensitivity and 70% specificity. A cut-point of 6.6 h was established for a FLAIR SIR <1.15, with an 89% sensitivity and 62% specificity. INTERPRETATION: A 0.064-T portable LF-MRI can identify DWI-FLAIR mismatch among patients with acute ischemic stroke. Future research is needed to prospectively validate thresholds and evaluate a role of LF-MRI in guiding thrombolysis among stroke patients with uncertain time of onset. ANN NEUROL 2024;96:321-331.

The Delivery Room Resuscitation of Infants with Congenital Diaphragmatic Hernia Treated with Fetoscopic Endoluminal Tracheal Occlusion: Beyond the Balloon.

INTRODUCTION: Randomized controlled trials found that fetoscopic endoluminal tracheal occlusion (FETO) resulted in increased fetal lung volume and improved survival for infants with isolated, severe left-sided congenital diaphragmatic hernia (CDH). The delivery room resuscitation of these infants is particularly unique, and the specific delivery room events are largely unknown. The objective of this study was to compare the delivery room resuscitation of infants treated with FETO to standard of care (SOC) and describe lessons learned. METHODS: Retrospective single-center cohort study of infants treated with FETO compared to infants who met FETO criteria during the same period but who received SOC. RESULTS: FETO infants were more likely to be born prematurely with 8/12 infants born <35 weeks gestational age compared to 3/35 SOC infants. There were 5 infants who required emergent balloon removal (2 ex utero intrapartum treatment and 3 tracheoscopic removal on placental bypass with delayed cord clamping) and 7 with prenatal balloon removal. Surfactant was administered in 6/12 FETO (50%) infants compared to 2/35 (6%) in the SOC group. Extracorporeal membrane oxygenation use was lower at 25% and survival was higher at 92% compared to 60% and 71% in the SOC infants, respectively. CONCLUSION: The delivery room resuscitation of infants treated with FETO requires thoughtful preparation with an experienced multidisciplinary team. Given increased survival, FETO should be offered to infants with severe isolated left-sided CDH, but only in high-volume centers with the experience and capability of removing the balloon, emergently if needed. The neonatal clinical team must be skilled in managing the unique postnatal physiology inherent to FETO where effective interdisciplinary teamwork is essential. Empiric and immediate surfactant administration should be considered in all FETO infants to lavage thick airway secretions, particularly those delivered <48 h after balloon removal.

Registries in pediatric anesthesiology: A brief history and a new way forward.

Clinical registries are multicenter prospective observational datasets that have been used to examine current perioperative practices in pediatric anesthesia. These datasets have proven useful in quantifying the incidence of rare adverse outcomes. Data from registries can highlight associations between severe patient safety events and patient and procedure-related risk factors. Registries are an effective tool to delineate practices and outcomes in niche patient populations. They have been used to quantify uncommon complications of medications and procedures. Registries can be used to generate knowledge and to support quality improvement. Multicenter engagement can promote best clinical practices and foster professional networks. Registries are limited by their observational nature, which entails a lack of randomization as well as selection and treatment bias. The maintenance of registries over time can be challenging due to difficulties in modifying the included variables, collaborator fatigue, and continued outlay of resources to maintain the database and onboard new sites. These latter issues can lead to decreased data quality. In this article, we discuss key insights from several pediatric anesthesia registries and propose a new type of registry that addresses some shortcomings of the current paradigm.

Surgical neonates: A retrospective review of procedures and postoperative outcomes at a quaternary children's hospital.

INTRODUCTION: Neonates have a high incidence of respiratory and cardiac perioperative events. Disease severity and indications for surgical intervention often dovetail with an overall complex clinical course and predispose these infants to adverse long-term neurodevelopmental outcomes and increased length of stay. Our aims were to describe severe and nonsevere early postoperative complications to establish a baseline of care outcomes and to identify subgroups of surgical neonates and procedures for future prospective studies. METHODS: Electronic health record data were examined retrospectively for a cohort of patients who had general anesthesia from January 26, 2015 to August 31, 2018. Inclusion criteria were full-term infants with postmenstrual age less than 44 weeks or premature infants less than 60 weeks postmenstrual age undergoing nonimaging, noncardiac surgery. Severe postoperative complications were defined as mortality, reintubation, positive blood culture, and surgical site infection. Nonsevere early postoperative outcomes were defined as hypoglycemia, hyperglycemia, hypothermia, hyperthermia, and readmission within 30 days. RESULTS: About 2569 procedures were performed in 1842 neonates of which 10.9% were emergency surgeries. There were 120 postoperative severe complications and 965 nonsevere postoperative outcomes. Overall, 30-day mortality was 1.8% for the first procedure performed, with higher mortality seen on subgroup analysis for patients who underwent exploratory laparotomy (10.3%) and congenital lung lesion resection (4.9%). Postoperative areas for improvement included hyperglycemia (13.9%) and hypothermia (7.9%). DISCUSSION: The mortality rate in our study was comparable to other studies of neonatal surgery despite a high rate of emergency surgery and a high prevalence of prematurity in our cohort. The early outcomes data identified areas for improvement, including prevention of postoperative glucose and temperature derangements. CONCLUSIONS: Neonates in this cohort were at risk for severe and nonsevere adverse postoperative outcomes. Future studies are suggested to improve mortality and adverse event rates.

Predicting pediatric emergence delirium using data-driven machine learning applied to electronic health record dataset at a quaternary care pediatric hospital.

Objectives: Pediatric emergence delirium is an undesirable outcome that is understudied. Development of a predictive model is an initial step toward reducing its occurrence. This study aimed to apply machine learning (ML) methods to a large clinical dataset to develop a predictive model for pediatric emergence delirium. Materials and Methods: We performed a single-center retrospective cohort study using electronic health record data from February 2015 to December 2019. We built and evaluated 4 commonly used ML models for predicting emergence delirium: least absolute shrinkage and selection operator, ridge regression, random forest, and extreme gradient boosting. The primary outcome was the occurrence of emergence delirium, defined as a Watcha score of 3 or 4 recorded at any time during recovery. Results: The dataset included 54 776 encounters across 43 830 patients. The 4 ML models performed similarly with performance assessed by the area under the receiver operating characteristic curves ranging from 0.74 to 0.75. Notable variables associated with increased risk included adenoidectomy with or without tonsillectomy, decreasing age, midazolam premedication, and ondansetron administration, while intravenous induction and ketorolac were associated with reduced risk of emergence delirium. Conclusions: Four different ML models demonstrated similar performance in predicting postoperative emergence delirium using a large pediatric dataset. The prediction performance of the models draws attention to our incomplete understanding of this phenomenon based on the studied variables. The results from our modeling could serve as a first step in designing a predictive clinical decision support system, but further optimization and validation are needed. Clinical trial number and registry URL: Not applicable.