Publications

2023

Joseph, Joshua W, Evan L Leventhal, Anne Grossestreuer V, Paul C Chen, Benjamin A White, Larry A Nathanson, Noémie Elhadad, and Leon D Sanchez. (2023) 2023. “Machine Learning Methods for Predicting Patient-Level Emergency Department Workload.”. The Journal of Emergency Medicine 64 (1): 83-92. https://doi.org/10.1016/j.jemermed.2022.10.002.

BACKGROUND: Work Relative Value Units (wRVUs) are a component of many compensation models, and a proxy for the effort required to care for a patient. Accurate prediction of wRVUs generated per patient at triage could facilitate real-time load balancing between physicians and provide many practical operational and clinical benefits.

OBJECTIVE: We examined whether deep-learning approaches could predict the wRVUs generated by a patient's visit using data commonly available at triage.

METHODS: Adult patients presenting to an urban, academic emergency department from July 1, 2016-March 1, 2020 were included. Deidentified triage information included structured data (age, sex, vital signs, Emergency Severity Index score, language, race, standardized chief complaint) and unstructured data (free-text chief complaint) with wRVUs as outcome. Five models were examined: average wRVUs per chief complaint, linear regression, neural network and gradient-boosted tree on structured data, and neural network on unstructured textual data. Models were evaluated using mean absolute error.

RESULTS: We analyzed 204,064 visits between July 1, 2016 and March 1, 2020. The median wRVUs were 3.80 (interquartile range 2.56-4.21), with significant effects of age, gender, and race. Models demonstrated lower error as complexity increased. Predictions using averages from chief complaints alone demonstrated a mean error of 2.17 predicted wRVUs per visit (95% confidence interval [CI] 2.07-2.27), the linear regression model: 1.00 wRVUs (95% CI 0.97-1.04), gradient-boosted tree: 0.85 wRVUs (95% CI 0.84-0.86), neural network with structured data: 0.86 wRVUs (95% CI 0.85-0.87), and neural network with unstructured data: 0.78 wRVUs (95% CI 0.76-0.80).

CONCLUSIONS: Chief complaints are a poor predictor of the effort needed to evaluate a patient; however, deep-learning techniques show promise. These algorithms have the potential to provide many practical applications, including balancing workloads and compensation between emergency physicians, quantify crowding and mobilizing resources, and reducing bias in the triage process.

Negro, Giuseppe, Livio Nicola Carenza, Giuseppe Gonnella, Fraser Mackay, Alexander Morozov, and Davide Marenduzzo. (2023) 2023. “Yield-Stress Transition in Suspensions of Deformable Droplets.”. Science Advances 9 (22): eadf8106. https://doi.org/10.1126/sciadv.adf8106.

Yield-stress materials, which require a sufficiently large forcing to flow, are currently ill-understood theoretically. To gain insight into their yielding transition, we study numerically the rheology of a suspension of deformable droplets in 2D. We show that the suspension displays yield-stress behavior, with droplets remaining motionless below a critical body-force. In this phase, droplets jam to form an amorphous structure, whereas they order in the flowing phase. Yielding is linked to a percolation transition in the contacts of droplet-droplet overlaps and requires strict conservation of the droplet area to exist. Close to the transition, we find strong oscillations in the droplet motion that resemble those found experimentally in confined colloidal glasses. We show that even when droplets are static, the underlying solvent moves by permeation so that the viscosity of the composite system is never truly infinite, and its value ceases to be a bulk material property of the system.

Garcia, Samuel I, Benjamin J Sandefur, Ronna L Campbell, Brian E Driver, Michael D April, Jestin N Carlson, Ron M Walls, and Calvin A Brown. (2023) 2023. “First-Attempt Intubation Success Among Emergency Medicine Trainees by Laryngoscopic Device and Training Year: A National Emergency Airway Registry Study.”. Annals of Emergency Medicine 81 (6): 649-57. https://doi.org/10.1016/j.annemergmed.2022.10.019.

STUDY OBJECTIVE: We compare intubation first-attempt success with the direct laryngoscope, hyperangulated video laryngoscope, and standard geometry video laryngoscope among emergency medicine residents at various postgraduate years (PGY) of training.

METHODS: We analyzed prospective data from emergency department (ED) patients enrolled in the National Emergency Airway Registry from January 1, 2016 to December 31, 2018 using mixed-effects logistic regression to assess the association between PGY of training and first-attempt success by the device.

RESULTS: Among 15,204 intubations performed by emergency medicine trainees, first-attempt success for PGY-1, PGY-2, and PGY3+ residents, respectively were: 78.8% (95% CI, 75.0 to 82.2%), 81.3% (79.4 to 83.0), and 83.6% (95% CI, 82.1 to 85.1) for direct laryngoscope; 87.2% (95% CI, 84.2 to 89.7), 90.4% (95% CI, 88.8 to 91.9%), and 91.2% (95% CI, 89.8 to 92.5%) for hyperangulated video laryngoscope; and 88.7% (95% CI, 86.1 to 90.9), 90.2% (95% CI, 88.7 to 91.5%), and 94.6% (95% CI 93.9 to 95.3%) for standard geometry video laryngoscope. Direct laryngoscope first-attempt success improved for PGY-2 (adjusted odds ratio [aOR],1.41; 95% CI, 1.09 to 1.82) and PGY-3+ (aOR, 1.76; 1.36 to 2.27) trainees compared to PGY-1. Hyperangulated video laryngoscope success also improved for PGY-2 (aOR, 1.51; 1.1 to 2.05) and PGY-3+ (aOR, 1.56; 1.15 to 2.13) trainees compared to PGY-1. For the standard geometry video laryngoscope, only PGY-3+ (aOR, 1.72; 1.25 to 2.36) was associated with improved first-attempt success compared to PGY-1.

CONCLUSION: Each laryngoscopy device class was associated with improvement in first-attempt success as training progressed. The video laryngoscope outperformed the direct laryngoscope for all operator groups, and PGY-1 trainees achieved higher first-attempt success using a standard geometry video laryngoscope than PGY-3+ trainees using a direct laryngoscope. These findings support the conjecture that in adult patients, a direct laryngoscope should not be routinely used for the first intubation attempt unless clinical circumstances, such as the presence of a soiled airway, would favor its success. These findings need to be validated with prospective randomized clinical trials.

Offenbacher, Joseph, Dhimitri A Nikolla, Jestin N Carlson, Silas W Smith, Nicholas Genes, Dowin H Boatright, and Calvin A Brown. (2023) 2023. “Incidence of Rescue Surgical Airways After Attempted Orotracheal Intubation in the Emergency Department: A National Emergency Airway Registry (NEAR) Study.”. The American Journal of Emergency Medicine 68: 22-27. https://doi.org/10.1016/j.ajem.2023.02.020.

BACKGROUND: Cricothyrotomy is a critical technique for rescue of the failed airway in the emergency department (ED). Since the adoption of video laryngoscopy, the incidence of rescue surgical airways (those performed after at least one unsuccessful orotracheal or nasotracheal intubation attempt), and the circumstances where they are attempted, has not been characterized.

OBJECTIVE: We report the incidence and indications for rescue surgical airways using a multicenter observational registry.

METHODS: We performed a retrospective analysis of rescue surgical airways in subjects ≥14 years of age. We describe patient, clinician, airway management, and outcome variables.

RESULTS: Of 19,071 subjects in NEAR, 17,720 (92.9%) were ≥14 years old with at least one initial orotracheal or nasotracheal intubation attempt, 49 received a rescue surgical airway attempt, an incidence of 2.8 cases per 1000 (0.28% [95% confidence interval 0.21 to 0.37]). The median number of airway attempts prior to rescue surgical airways was 2 (interquartile range 1, 2). Twenty-five were in trauma victims (51.0% [36.5 to 65.4]), with neck trauma being the most common traumatic indication (n = 7, 14.3% [6.4 to 27.9]).

CONCLUSION: Rescue surgical airways occurred infrequently in the ED (0.28% [0.21 to 0.37]), with approximately half performed due to a trauma indication. These results may have implications for surgical airway skill acquisition, maintenance, and experience.

Driver, Brian E, Stacy A Trent, Matthew E Prekker, Robert F Reardon, and Calvin A Brown. (2023) 2023. “Sedative Dose for Rapid Sequence Intubation and Postintubation Hypotension: Is There an Association?”. Annals of Emergency Medicine 82 (4): 417-24. https://doi.org/10.1016/j.annemergmed.2023.05.014.

STUDY OBJECTIVE: For patients with hemodynamic instability undergoing rapid sequence intubation, experts recommend reducing the sedative medication dose to minimize the risk of further hemodynamic deterioration. Scant data support this practice for etomidate and ketamine. We sought to determine if the dose of etomidate or ketamine was independently associated with postintubation hypotension.

METHODS: We analyzed data from the National Emergency Airway Registry from January 2016 to December 2018. Patients aged 14 years or older were included if the first intubation attempt was facilitated with etomidate or ketamine. We used multivariable modeling to determine whether drug dose in milligrams per kilogram of patient weight was independently associated with postintubation hypotension (systolic blood pressure < 100 mm Hg).

RESULTS: We analyzed 12,175 intubation encounters facilitated by etomidate and 1,849 facilitated by ketamine. The median drug doses were 0.28 mg/kg (interquartile range [IQR] 0.22 mg/kg to 0.32 mg/kg) for etomidate and 1.33 mg/kg (IQR 1 mg/kg to 1.8 mg/kg) for ketamine. Postintubation hypotension occurred in 1,976 patients (16.2%) who received etomidate and in 537 patients (29.0%) who received ketamine. In multivariable models, neither the etomidate dose (adjusted odds ratio [aOR] 0.95, 95% confidence interval [CI] 0.90 to 1.01) nor ketamine dose (aOR 0.97, 95% CI 0.81 to 1.17) was associated with postintubation hypotension. Results were similar in sensitivity analyses excluding patients with preintubation hypotension and including only patients intubated for shock.

CONCLUSION: In this large registry of patients intubated after receiving either etomidate or ketamine, we observed no association between the weight-based sedative dose and postintubation hypotension.

April, Michael D, Brian Driver, Steven G Schauer, Jestin N Carlson, Rachel E Bridwell, Brit Long, Jamie Stang, Subrina Farah, Robert A De Lorenzo, and Calvin A Brown. (2023) 2023. “Extraglottic Device Use Is Rare During Emergency Airway Management: A National Emergency Airway Registry (NEAR) Study.”. The American Journal of Emergency Medicine 72: 95-100. https://doi.org/10.1016/j.ajem.2023.07.024.

INTRODUCTION: Airway management is a critical component of the management of emergency department (ED) patients. The ED airway literature primarily focuses upon endotracheal intubation; relatively less is known about the ED use of extraglottic devices (EGDs). The goal of this study was to describe the frequency of use, success, and complications for EGDs among ED patients.

METHODS: The National Emergency Airway Registry (NEAR) is a prospective, multi-center, observational registry. It captures data on all ED patients at participating sites requiring airway management. Intubating clinicians entered all data into an online system as soon as practical after each encounter. We conducted a secondary analysis of these data for all ED encounters in which EGD placement occurred. We used descriptive statistics to characterize these encounters.

RESULTS: Of 19,071 patients undergoing intubation attempts, 56 (0.3%) underwent EGD placement. Of 25 participating sites, 13 reported no cases undergoing EGD placement; the median number of EGDs placed per site was 2 (interquartile range 1-2.5, range 1-31). Twenty-nine (54%) patients had either hypotension or hypoxia prior to the start of airway management. Clinicians reported anticipation of a difficult airway in 55% and at least one difficult airway characteristic in 93% of these patients. Forty-one encounters entailed placement of a laryngeal mask airway (LMA®) Fastrach™, 33 of whom underwent subsequent successful intubation through the EGD and 7 of whom underwent intubation by alternative methods. An additional 10 encounters utilized a standard LMA® device. Providers placed 34 (61%) EGDs during the first intubation attempt. Seventeen EGD patients (30%) experienced peri-procedure adverse events, including 14 (25%) experiencing hypoxemia. None of these patients expired due to failed airways.

CONCLUSIONS: EGD use was rare in this multi-center ED registry. EGD occurred predominantly in patients with difficult airway characteristics with favorable airway management outcomes. Clinicians should consider this emergency airway device for patients with a suspected difficult airway.

Lucassen, Ruben T, Mohammad H Jafari, Nicole M Duggan, Nick Jowkar, Alireza Mehrtash, Chanel Fischetti, Denie Bernier, et al. (2023) 2023. “Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound.”. IEEE Journal of Biomedical and Health Informatics 27 (9): 4352-61. https://doi.org/10.1109/JBHI.2023.3282596.

Lung ultrasound (LUS) is an important imaging modality used by emergency physicians to assess pulmonary congestion at the patient bedside. B-line artifacts in LUS videos are key findings associated with pulmonary congestion. Not only can the interpretation of LUS be challenging for novice operators, but visual quantification of B-lines remains subject to observer variability. In this work, we investigate the strengths and weaknesses of multiple deep learning approaches for automated B-line detection and localization in LUS videos. We curate and publish, BEDLUS, a new ultrasound dataset comprising 1,419 videos from 113 patients with a total of 15,755 expert-annotated B-lines. Based on this dataset, we present a benchmark of established deep learning methods applied to the task of B-line detection. To pave the way for interpretable quantification of B-lines, we propose a novel "single-point" approach to B-line localization using only the point of origin. Our results show that (a) the area under the receiver operating characteristic curve ranges from 0.864 to 0.955 for the benchmarked detection methods, (b) within this range, the best performance is achieved by models that leverage multiple successive frames as input, and (c) the proposed single-point approach for B-line localization reaches an F 1-score of 0.65, performing on par with the inter-observer agreement. The dataset and developed methods can facilitate further biomedical research on automated interpretation of lung ultrasound with the potential to expand the clinical utility.

Walsh, Carrie D, Irene W Y Ma, Andrew J Eyre, Munaa Dashti, Joseph Stegeman, Roger D Dias, Arun Nagdev, Andrew J Goldsmith, and Nicole M Duggan. (2023) 2023. “Implementing Ultrasound-Guided Nerve Blocks in the Emergency Department: A Low-Cost, Low-Fidelity Training Approach.”. AEM Education and Training 7 (5): e10912. https://doi.org/10.1002/aet2.10912.

BACKGROUND: Managing acute pain is a common challenge in the emergency department (ED). Though widely used in perioperative settings, ED-based ultrasound-guided nerve blocks (UGNBs) have been slow to gain traction. Here, we develop a low-cost, low-fidelity, simulation-based training curriculum in UGNBs for emergency physicians to improve procedural competence and confidence.

METHODS: In this pre-/postintervention study, ED physicians were enrolled to participate in a 2-h, in-person simulation training session composed of a didactic session followed by rotation through stations using handmade pork-based UGNB models. Learner confidence with performing and supervising UGNBs as well as knowledge and procedural-based competence were assessed pre- and posttraining via electronic survey quizzes. One-way repeated-measures ANOVAs and pairwise comparisons were conducted. The numbers of nerve blocks performed clinically in the department pre- and postintervention were compared.

RESULTS: In total, 36 participants enrolled in training sessions, eight participants completed surveys at all three data collection time points. Of enrolled participants, 56% were trainees, 39% were faculty, 56% were female, and 53% self-identified as White. Knowledge and competency scores increased immediately postintervention (mean ± SD t0 score 66.9 ± 8.9 vs. t1 score 90.4 ± 11.7; p < 0.001), and decreased 3 months postintervention but remained elevated above baseline (t2 scores 77.2 ± 11.5, compared to t0; p = 0.03). Self-reported confidence in performing UGNBs increased posttraining (t0 5.0 ± 2.3 compared to t1 score 7.1 ± 1.5; p = 0.002) but decreased to baseline levels 3 months postintervention (t2 = 6.0 ± 1.9, compared to t0; p = 0.30).

CONCLUSIONS: A low-cost, low-fidelity simulation curriculum can improve ED provider procedural-based competence and confidence in performing UGNBs in the short term, with a trend toward sustained improvement in knowledge and confidence. Curriculum adjustments to achieve sustained improvement in confidence performing and supervising UGNBs long term are key to increased ED-based UGNB use.