Faculty Bibliography

BACKGROUND:Telemedicine-specific clinical pathways (CPWs), coupled with electronic health record (EHR) order panels, provide an opportunity to ensure evidence and guideline concordant care for conditions at risk for inconsistent diagnoses and management strategies. Standardized provider and patient-facing illness scripts may fill gaps in clinicians' communication skills secondary to a training deficit in virtual care delivery. We aimed to implement and assess the impact of a novel care bundle for sinusitis on antimicrobial use, patient satisfaction, clinician satisfaction, and usability in patients with sinusitis. METHODS:A sinusitis care bundle (SCB) for virtual urgent care patients included a sinusitis CPW with communication scripts, sinusitis order panels (SOP), and a patient education smart-phrase (SPESP) within visit instructions. Antimicrobial use was assessed during a 15-month period prior to the start of SCB element implementations and 14-months following, using statistical process control charts. Patient satisfaction was measured using Likert-style surveys. Clinician satisfaction was assessed using a novel survey addressing the SCB-targeted domains (decision support, communication, efficiency, usability, and overall satisfaction). RESULTS:There were 69,785 and 64,019 evaluable patients in the pre-care and post-care bundle periods, respectively. Despite a significant increase in patients receiving a sinusitis diagnosis in the post-care bundle period (3.2% pre- vs. 6.2% post-, p < 0.001), antimicrobial prescribing decreased by 3.9% (p < 0.001), with statistical process control evidence of special cause change. There was a 5.1% decrease (p < 0.001) in negative patient survey responses after implementation. Clinician survey revealed substantial agreement in the domains relating to improving communication with patients and/or families, with the highest satisfaction for the SPESP over the SOP. CONCLUSIONS:Implementation of a telemedicine care bundle for patients diagnosed with sinusitis can balance multiple elements of quality care. The combination of a clinical care pathway, standardized language, and order panels within the EHR has the potential to improve patient satisfaction and decrease antimicrobial prescribing.

INTRODUCTION/BACKGROUND:Antenatal lead exposure is associated with multiple adverse maternal and fetal consequences. Maternal blood lead concentrations as low as 10 µg/dL have been associated with gestational hypertension, spontaneous abortion, growth retardation, and impaired neurobehavioral development. Current treatment recommendations for pregnant women with a blood lead level (BLL) ≥ 45 µg/dL include chelation. We report a successful case of a mother with severe gestational lead poisoning treated with induction of labor in a term infant. CASE REPORT/METHODS:A 22-year-old G2P1001 female, at 38 weeks and 5 days gestation, was referred to the emergency department for an outpatient venous BLL of 53 µg/dL. The decision was made to limit ongoing prenatal lead exposure by emergent induction as opposed to chelation. Maternal BLL just prior to induction increased to 70 µg/dL. A 3510 g infant was delivered with APGAR scores of 9 and 9 at 1 and 5 min. Cord BLL at delivery returned at 41 µg/dL. The mother was instructed to avoid breastfeeding until her BLLs decreased to below 40 µg/dL, consistent with federal and local guidelines. The neonate was empirically chelated with dimercaptosuccinic acid. On postpartum day 2, maternal BLL decreased to 36 µg/dL, and the neonatal BLL was found to be 33 µg/mL. Both the mother and neonate were discharged to an alternative lead-free household on postpartum day 4.

OBJECTIVE/UNASSIGNED:To highlight the similarity between madd fruit seeds and enteral drug concealment ("body packing") on computed tomography when evaluated by Hounsfield Units. CASE REPORT/UNASSIGNED:) seeds, which can cause bezoar formation and intestinal obstruction. CONCLUSION/UNASSIGNED:Madd fruit seeds may appear similar to drug packets on computed tomography with similar Hounsfield Unit characteristics. History and clinical context are paramount to avoid misdiagnosis.

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.

BACKGROUND:During the COVID-19 pandemic, we identified a gap in adequate discharge counseling for COVID-19 patients in the Emergency Department. This was due to high patient volumes and lack of patient education regarding a novel disease. Medical students were also restricted from clinical areas due to safety concerns, compromising their clinical experience. We piloted a novel program in which medical students served as virtual discharge counselors for COVID-19 patients via teleconference. We aimed to demonstrate an impact on patient care by examining the patient bounce back rate as well as assessing medical student education and experience. METHODS:This program was piloted in a tertiary care Emergency Department. Medical student volunteers served as virtual discharge counselors. Students were trained in discharge counseling with a standardized protocol and a discharge script. Eligible patients for virtual discharge counseling were 18 years old or greater with a diagnosis of confirmed or suspected COVID-19 and no impediment precluding them from participating in a telemedicine encounter. Counseling was provided via secure teleconference in the patient's preferred language. Counseling included diagnosis, supportive care with medication dosing, quarantine instructions, return precautions, follow up, and time to ask questions. Duration of counseling was recorded and medical students were anonymously surveyed regarding their experience. RESULTS:Over an 18-week period, 45 patients were counseled for a median of 20 min. The 72-hr ED revisit rate was 0%, versus 4.2% in similarly-matched, not counseled COVID-19 patients. 90% of medical students believed this project increased their confidence when speaking with patients while 80% indicated this was their first telemedicine experience. CONCLUSION/CONCLUSIONS:Our pilot discharge program provided patients with an extensive discharge counseling experience that would not otherwise be possible in an urban ED setting and demonstrated benefit to patient care. Medical students received a safe clinical experience that improved their communication skills.

PURPOSE/OBJECTIVE:Assessing expertise using psychometric models usually yields a measure of ability that is difficult to generalize to the complexity of diagnoses in clinical practice. However, using an item response modeling framework, it is possible to create a decision-aligned response model that captures a clinician's decision-making behavior on a continuous scale that fully represents competing diagnostic possibilities. In this proof-of-concept study, the authors demonstrate the necessary statistical conceptualization of this model using a specific electrocardiogram (ECG) example. METHOD/METHODS:The authors collected a range of ECGs with elevated ST segments due to either ST-elevation myocardial infarction (STEMI) or pericarditis. Based on pilot data, 20 ECGs were chosen to represent a continuum from "definitely STEMI" to "definitely pericarditis," including intermediate cases in which the diagnosis was intentionally unclear. Emergency medicine and cardiology physicians rated these ECGs on a 5-point scale ("definitely STEMI" to "definitely pericarditis"). The authors analyzed these ratings using a graded response model showing the degree to which each participant could separate the ECGs along the diagnostic continuum. The authors compared these metrics with the discharge diagnoses noted on chart review. RESULTS:Thirty-seven participants rated the ECGs. As desired, the ECGs represented a range of phenotypes, including cases where participants were uncertain in their diagnosis. The response model showed that participants varied both in their propensity to diagnose one condition over another and in where they placed the thresholds between the 5 diagnostic categories. The most capable participants were able to meaningfully use all categories, with precise thresholds between categories. CONCLUSIONS:The authors present a decision-aligned response model that demonstrates the confusability of a particular ECG and the skill with which a clinician can distinguish 2 diagnoses along a continuum of confusability. These results have broad implications for testing and for learning to manage uncertainty in diagnosis.

INTRODUCTION/BACKGROUND:Coronavirus 2019 (COVID-19) illness continues to affect national and global hospital systems, with a particularly high burden to intensive care unit (ICU) beds and resources. It is critical to identify patients who initially do not require ICU resources but subsequently rapidly deteriorate. We investigated patient populations during COVID-19 at times of full or near-full (surge) and non-full (non-surge) hospital capacity to determine the effect on those who may need a higher level of care or deteriorate quickly, defined as requiring a transfer to ICU within 24 hours of admission to a non-ICU level of care, and to provide further knowledge on this high-risk group of patients. METHODS:This was a retrospective cohort study of a single health system comprising four emergency departments and three tertiary hospitals in New York, NY, across two different time periods (during surge and non-surge inpatient volume times during the COVID-19 pandemic). We queried the electronic health record for all patients admitted to a non-ICU setting with unexpected ICU transfer (UIT) within 24 hours of admission. We then made a comparison between adult patients with confirmed coronavirus 2019 and without during surge and non-surge time periods. RESULTS:During the surge period, there was a total of 86 UITs in a one-month period. Of those, 60 were COVID-19 positive patients who had a mortality rate of 63.3%, and 26 were COVID-19 negative with a 30.8 % mortality rate. During the non-surge period, there was a total of 112 UITs; of those, 24 were COVID-19 positive with a 37.5% mortality rate, and 90 were COVID-19 negative with a 11.1% mortality rate. CONCLUSION/CONCLUSIONS:During the surge, the mortality rate for both COVID-19 positive and COVID-19 negative patients experiencing an unexpected ICU transfer was significantly higher.

INTRODUCTION/BACKGROUND:Aripiprazole is an atypical antipsychotic with unique receptor-binding properties that has a favorable safety profile in therapeutic doses compared to other antipsychotics. Massive aripiprazole overdose in children, however, presents with profound lethargy and may have neurologic, hemodynamic, and cardiac effects, often requiring admission to a high level of care. CASE REPORT/METHODS:We describe a case of a 21-month-old male with a reported 52-milligram aripiprazole ingestion. Initial vital signs were remarkable for tachycardia and hypertension, which rapidly resolved. The patient did not develop hypotension throughout hospitalization. He experienced 60 hours of lethargy. Irritability associated with upper extremity spasms and tremors occurred from 36-72 hours post ingestion, which resolved without intervention. The initial electrocardiogram demonstrated ST-segment depressions in the anteroseptal leads; further cardiac workup was normal. Concurrent medical workup was unrevealing. Aripiprazole and dehydro-aripiprazole serum concentrations sent 46 hours after reported exposure were 266.5 nanograms per milliliter (ng/mL) and 138.6 ng/mL, respectively. He returned to neurologic baseline and was discharged 72 hours after ingestion. CONCLUSION/CONCLUSIONS:Antipsychotics, including aripiprazole, should be considered as a potential toxicological cause of persistent central nervous system depression; ingestion of a single dose has the potential to cause significant toxicity.