Assessing risk of major adverse cardiac events among patients with chest pain and cocaine use using the HEART score.

INTRODUCTION: Chest pain (CP), a common presentation in the emergency department (ED) setting, is associated with significant morbidity and mortality if emergency clinicians miss the diagnosis of acute coronary syndrome (ACS). The HEART (History, Electrocardiogram, Age, Risk Factors, Troponin) score had been validated for risk-stratification patients who are at high risk for ACS and major adverse cardiac events (MACE). However, the use of cocaine as a risk factor of the HEART score was controversial. We hypothesized that patients with cocaine-positive (COP) would not be associated with higher risk of 30-day MACE than cocaine-negative (CON) patients. METHODS: This retrospective study included adult patients who presented to 13 EDs of a University's Medical System between August 7, 2017 to August 19, 2021. Patients who had CP and prospectively calculated HEART scores and urine toxicology tests as part of their clinical evaluation were eligible. Areas Under The Receiver Operating Curve (AUROC) were calculated for the performance of HEART score and 30-day MACE for each group. RESULTS: This study analyzed 46,210 patients' charts, 663 (1.4%) were COP patients. Mean age was statistically similar between groups but there were fewer females in the COP group (26.2% vs 53.2%, p < 0.001). Mean (+/- SD) HEART score was 3.7 (1.4) comparing to 3.1 (1.8, p < 0.001) between COP vs CON groups, respectively. Although more COP patients (54%) had moderate HEART scores (4-6) vs. CON group (35.2%, p < 0.001), rates of 30-day MACE were 1.1% for both groups. HEART score's AUROC was 0.72 for COP and 0.78 for CON groups. AUROC for the Risk Factor among COP patients, which includes cocaine, was poor (0.54). CONCLUSION: This study, which utilized prospective calculated HEART scores, demonstrated that overall performance of the HEART score was reasonable. Specifically, our analysis showed that the rate of 30-day MACE was not affected by cocaine use as a risk factor. We would recommend clinicians to consider the HEART score for this patient group.

Assessing risk of major adverse cardiac event among COVID-19 patients using HEART score.

Coronavirus disease 2019 (COVID-19) is known to be associated with cardiovascular complications, but whether the current validated HEART score for chest pain is still applicable for these patients is unknown. This study aims to identify the impact and association of COVID-19 co-infection in patients presenting with chest pain and a calculated HEART score to the emergency departments (ED) with 30-day of major adverse cardiac event (MACE). This is a multicenter, retrospective observational study that included adult (age ≥ 18 years) patients visiting 13 different EDs with chest pain and evaluated using a HEART score. The primary outcome was the percentage of 30-day MACE, which included acute myocardial infarction, emergency percutaneous coronary intervention (PCI), coronary artery bypass graft (CABG), or death among patients who presented with chest pain and had COVID-19 co-infection. The sensitivity and specificity of the HEART score among COVID-19 co-infection for MACE were assessed by the receiver operating curve (ROC). We analyzed records of 46,210 eligible patients, in which 327 (0.7%) patients were identified as infected with COVID-19. Patients with COVID-19 had higher mean total HEART score of 3.3 (1.7), compared to patients who did not have COVID-19 (3.1, SD 1.8, P = 0.048). The rate of MACE was similar between both groups. There were only 2 (0.6%) COVID-19 patients who had MACE, compared to 504 (1.1%) patients in control group. Total HEART score was associated with an area under the ROC (AUROC) of 0.99, while the control group's was 0.78. History was associated with high AUROC in both COVID-19 (0.74) and control groups (0.76). Older age in COVID-19 had higher AUROC (0.89) than control patients (0.63). Among patients presenting to the ED with chest pain and having COVID-19 infection, HEART score had predictive capability for MACE, similar to patients without COVID-19 infection. Further studies with more COVID-19 patients are still necessary to confirm our observation.

The impact of a point-of-care visual clinical decision support tool on admissions for cellulitis in the University of Maryland medical system.

Introduction: Cellulitis is commonly diagnosed in emergency departments (EDs), yet roughly one third of ED patients admitted for presumed cellulitis have another, usually benign, condition instead (eg, stasis dermatitis). This suggests there is an opportunity to reduce health care resource use through improved diagnosis at the point of care. This study seeks to test whether a clinical decision support (CDS) tool interoperable with the electronic medical record (EMR) can reduce inappropriate hospital admissions and drive more appropriate and accurate care. Methods: This study was a trial of an EMR-interoperable, image-based CDS tool for evaluation of ED patients with suspected cellulitis. At the point of assigning a provisional diagnosis of cellulitis in the EMR, the clinician was randomly prompted to use the CDS. Based on the patient features entered into the CDS by the clinician, the CDS provided the clinician a list of likely diagnoses. The following were recorded: patient demographics, disposition and final diagnosis of patients, and whether antibiotics were prescribed. Logistic regression methods were used to determine the impact of CDS engagement on our primary outcome of admission for cellulitis, adjusted for patient factors. Antibiotic use was a secondary end point. Results: From September 2019 to February 2020 (or 7 months), the CDS tool was deployed in the EMR at 4 major hospitals in the University of Maryland Medical System. There were 1269 encounters for cellulitis during the study period. The engagement with the CDS was low (24.1%, 95/394), but engagement was associated with an absolute reduction in admissions (7.1%, p = 0.03). After adjusting for age greater than 65 years, female sex, non-White race, and private insurance, CDS engagement was associated with a significant reduction of admissions (adjusted OR = 0.62, 95% confidence interval (CI): 0.40-0.97, p = 0.04) and antibiotic use (Adjusted OR = 0.63, 95% CI: 0.40-0.99, p = 0.04). Conclusions: CDS engagement was associated with decreased admissions for cellulitis and decreased antibiotic use in this study, despite low levels of CDS engagement. Further research should examine the impact of CDS engagement in other practice environments and measure longer-term outcomes in patients discharged from the ED.

Illicit Fentanyl Exposure Among Victims of Violence Treated at a Trauma Center.

INTRODUCTION: Opioid overdoses and violent injury are leading causes of death in the United States, yet testing for novel opioids like fentanyl remains uncommon. The purpose of this investigation is to characterize a population of victims of violence who test positive for illicit fentanyl. METHODS: Retrospective cohort study of patients treated at a level-one trauma center between January 31, 2019 and February 21, 2020. Data were extracted from the electronic medical record. Subjects were included if they had an encounter diagnosis for a violent or intentional injury, using the International Classification of Diseases, v10 (X92-Y09). We excluded patients who received licit fentanyl as a part of their care before testing. Those who tested positive for fentanyl exposure on our standard hospital urine drug screen were considered to have been exposed to illicit fentanyl. Those testing negative for fentanyl were considered controls. RESULTS: Of the 1132 patients treated for intentional injuries during the study period, 366 were included in the study (32.3%). Of these, 133 (36.3%) subjects were exposed to illicit fentanyl prehospital. There were no demographic differences between cases and controls. Cases had a lower GCS voice score on arrival (median = 4, interquartile range [IQR] = 4-5 versus median = 5, IQR = 4-5, P = 0.02), higher rates of ventilator usage (32.3% versus 21.5%, P = 0.02), and more intensive care unit admissions (27.1% versus 12.0%, P = 0.005). More than half of cases tested negative for opiates (78/133, 58.6%). Cases had more trauma center encounters (26.3% had ≥2 visits versus 15.5%). CONCLUSIONS: Exposure to illicit fentanyl was common among victims of violence in this single-center study. These patients are at increased risk of being admitted to intensive care units and repeated trauma center visits, suggesting fentanyl testing may help identify those who could benefit from violence prevention and substance abuse treatment.

The impact of automatic physician review of prescription drug monitoring program data on opioid prescribing in a Maryland statewide hospital system.

BACKGROUND AND AIMS: Prescription drug monitoring programs (PDMPs) were implemented to decrease dangerous opioid prescribing but have had variable results. This report details how automatic PDMP review changed opioid prescribing across a statewide medical system. DESIGN: An observational study. SETTING: Fourteen hospital networks in the United States. CASES: Healthcare encountered from July 1, 2016 to June 30, 2019. INTERVENTION: Starting from July 1, 2018, the patient's PDMP data would be displayed automatically to providers in the unified electronic medical record (EMR) whenever the provider began to write for an opioid prescription. MEASUREMENTS: Outcomes were prescriptions per encounter (PPE) and the morphine milligram equivalents (MME) per prescription. Outcomes were stratified by practice location, medication prescribed, and diagnosis. All data, including whether the prompt was triggered for a given encounter and whether a prescription was given, were extracted from the EMR. An interrupted timeseries analysis was used to determine how PPE and MME changed in response to the implementation of automatic PDMP review. FINDINGS: Of the 624,488 encounters examined, 18.37 percent (n = 114,710) were in emergency departments, 56.79 percent were admissions (n = 354,634), and 24.84 percent (n = 155,144) were outpatient visits. Opioid prescriptions were started and then canceled 24 percent of the time after the PDMP was shown. There was a decline in MME (ßOverall + Policy Trends = -3.17, p = <0.0001), which was driven by inpatient (ßOverall + Policy Trends = -2.10, p < 0.0001) and outpatient providers (ßOverall + Policy Trends = -3.24, p < 0.01). A decline in MME was seen in all medication categories (-1.72 < ßOverall + Policy Trends < -5.87, p < 0.01). There were no changes in these trends after excluding encounters for severe and acute pain. CONCLUSIONS: Automated PDMP review is associated with fewer prescriptions and smaller doses without decreasing appropriate use.

58-year-old Male with a Headache, Hand Numbness, and Phantosmia.

INTRODUCTION: A 58-year-old male presents to the emergency department with headache, hand numbness, and phantosmia. CASE PRESENTATION: Magnetic resonance imaging showed multiple acute and early subacute lesions involving the cortex and subcortical white matter of the left frontal lobe, left parietal lobe, left temporal lobe, left caudate, and left putamen. DISCUSSION: This case takes the reader through the subtle findings that led to the diagnosis and ultimately to treatment.

Patterns of opioid prescribing in emergency departments during the early phase of the COVID-19 pandemic.

INTRODUCTION: The COVID-19 pandemic was superimposed upon an ongoing epidemic of opioid use disorder and overdose deaths. Although the trend of opioid prescription patterns (OPP) had decreased in response to public health efforts before the pandemic, little is known about the OPP from emergency department (ED) clinicians during the COVID-19 pandemic. METHODS: We conducted a pre-post study of adult patients who were discharged from 13 EDs and one urgent care within our academic medical system between 01/01/2019 and 09/30/2020 using an interrupted time series (ITS) approach. Patient characteristics and prescription data were extracted from the single unified electronic medical record across all study sites. Prescriptions of opioids were converted into morphine equivalent dose (MED). We compared the "Covid-19 Pandemic" period (C19, 03/29/2020-9/30/2020) and the "Pre-Pandemic" period (PP, 1/19/2020-03/28/2020). We used a multivariate logistic regression to assess clinical factors associated with opioid prescriptions. RESULTS: We analyzed 361,794 ED visits by adult patients, including 259,242 (72%) PP and 102,552 (28%) C19 visits. Demographic information and percentages of patients receiving opioid prescriptions were similar in both groups. The median [IQR] MED per prescription was higher for C19 patients (70 [56-90]) than for PP patients (60 [60-90], P < 0.001). ITS demonstrated a significant trend toward higher MED prescription per ED visit during the pandemic (coefficient 0.11, 95% CI 0.05-0.16, P = 0.002). A few factors, that were associated with lower likelihood of opioid prescriptions before the pandemic, became non-significant during the pandemic. CONCLUSION: Our study demonstrated that emergency clinicians increased the prescribed amount of opioids per prescription during the COVID-19 pandemic compared to the pre-pandemic period. Etiologies for this finding could include lack of access to primary care and other specialties during the pandemic, or lower volumes allowing for emergency clinicians to identify who is safe to be prescribed opioids.

57-year-old Female with Unusual Left-arm Movements.

INTRODUCTION: A 57-year-old, right-hand dominant female presented to the emergency department striking herself with her left hand. CASE PRESENTATION: The astute medical staff looked beyond a behavioral health etiology. A detailed history, physical examination, and workup reveals the fascinating final diagnosis. DISCUSSION: This case takes the reader through the differential diagnosis and systematic workup of uncontrolled limb movements with discussion of the studies which ultimately led to this patient's diagnosis.

Early Prediction of Intensive Care Admission in Emergency Department Patients With Asthma.

BACKGROUND: Emergency physicians must choose whether patients with asthma are admitted to a hospital ward or a higher level of care, such as an intermediate care unit (IMC) or intensive care unit (ICU). OBJECTIVE: This study aimed to determine which variables, available early during emergency department (ED) visits, are associated with IMC/ICU admission. METHODS: In this retrospective chart review (records from 2015-2018), two trained abstractors, blinded to study hypothesis, abstracted data on predictor variables and disposition (ward vs. IMC/ICU). Predictor variables were defined explicitly and abstracted from the periods of ED arrival and after treatment with 7.5 mg nebulized albuterol. Distress was defined as tripod positioning or speaking in broken sentences. "Arrival" and "after treatment" scoring systems were derived based on adjusted odds ratios (aOR) for predictor variables. We performed analyses using SASⓇ, version 9.4 (SAS Institute). RESULTS: Among 273 patients, 105 required admission to an IMC/ICU. At presentation, distress (aOR 2.1, 95% confidence interval [CI] 1.1-3.9), room air SpO2 ≥95% (aOR 0.29, 95% CI 0.14-0.62), respiratory rate > 20 breaths/min (aOR 1.9, 95% CI 1.0-3.3), and retractions (aOR 1.9, 95% CI 1.1-3.3) were associated with IMC/ICU admission. After initial bronchodilator therapy, heart rate > 120 beats/min (aOR 7.1, 95% CI 2.0-25), room air SpO2 ≥ 95% (aOR 0.15, 95% CI 0.07-0.34), and noninvasive ventilation (aOR 6.5, 95% CI 2.5-17) were associated with IMC/ICU admission. Both scoring systems stratified risk of IMC/ICU admission into low-risk (9-10%) and high-risk (70-100%) groups. CONCLUSIONS: Combinations of predictor variables, available early in a patient's stay, stratify risk of admission to an IMC/ICU bed.

The actual, long-term cost of intentional injury care among a cohort of Maryland Medicaid recipients.

BACKGROUND: Intentional injury (both self-harm and interpersonal) is a major cause of morbidity and mortality, yet there are little data on the per-person cost of caring for these patients. Extant data focus on hospital charges related to the initial admission but does not include actual dollars spent or follow-up outpatient care. The Affordable Care Act has made Medicaid the primary payor of intentional injury care (39%) in the United States and the ideal source of cost data for these patients. We sought to determine the total and per-person long-term cost (initial event and following 24 months) of intentional injury among Maryland Medicaid recipients. METHODS: Retrospective cohort study of Maryland Medicaid claims was performed. Recipients who submitted claims after receiving an intentional injury, as defined by the International Classification of Diseases, Tenth Revision, between October 2015 and October 2017, were included in this study. Subjects were followed for 24 months (last participant enrolled October 2017 and followed to October 2019). Our primary outcome was the dollars paid by Medicaid. We examined subgroups of patients who harmed themselves and those who received repeated intentional injury. RESULTS: Maryland Medicaid paid $11,757,083 for the care of 12,172 recipients of intentional injuries between 2015 and 2019. The per-person, 2-year health care cost of an intentional injury was a median of $183 (SD, $5,284). These costs were highly skewed: min, $2.56; Q1 = 117.60, median, $182.80; Q3 = $480.82; and max, $332,394.20. The top 5% (≥95% percentile) required $3,000 (SD, $6,973) during the initial event and $8,403 (SD, $22,024) per served month thereafter, or 55% of the overall costs in this study. CONCLUSION: The long-term, per-person cost of intentional injury can be high. Private insurers were not included and may experience different costs in other states. LEVEL OF EVIDENCE: Economic and Value Based Evaluations; level III.

Emergency Department Drug Surveillance (EDDS) hospital's urinalysis results compared with expanded re-testing by an independent laboratory, a pilot study.

INTRODUCTION: Most hospital urine toxicology screens detect a fixed, limited set of common substances. These tests are fast and accurate but may miss emerging trends in substance use in the community and clinical acumen alone is insufficient for identifying new substances. METHODS: This prospective cohort study examined de-identified urine specimens obtained from patients visiting the Emergency Department (ED) at Prince George's Hospital Center (PGHC), between October 15, 2019 to November 6, 2019 and tested positive for one or more substances. The Emergency Department Drug Surveillance System (EDDS) collects quarterly exports from de-identified electronic health records (EHRs) containing urinalysis results for drug related ED visits. We performed a feasibility study of a new urine specimen submission by collecting a stratified sample of 151 urine specimens from PGHC ED patients. The specimens were tested for 240 drugs using liquid chromatography-tandem mass spectrometry (LC-MS/MS). This paper presents a comparison between the PGHC and expanded testing results. RESULTS: The expanded urinalysis panel found more cocaine (37% vs. 20%; p < 0.01) and benzodiazepine positives (21% vs. 11%; p < 0.05) than would have been detected by the hospital screen. Additionally, the expanded toxicology panel identified fentanyl in 4-14% of the samples. CONCLUSION: The EHR data submitted to EDDS from the hospital urine toxicology screen correctly identified hospital substance use patterns over the approximate 1 month study period. The expanded testing also uncovered drugs that the hospital might consider adding to their routine screen. EDDS is a feasible system for monitoring and confirming recent substance use trends among ED patients.

Coding Disparity and Specificity during Emergency Department Visits after Transitioning to the Tenth Version of the International Classification of Diseases.

The purpose of this study was to examine coding changes using the International Classification of Diseases (ICD) after the transition from ICD-9 to ICD-10. We studied a national cohort of emergency department visits from the Veterans Health Administration (VHA) before and after the transition, focusing on coding disparity and coding specificity. The cohort accounted for 2 million emergency department visits by 1.2 million patients. There were no statistical differences between the groups with respect to demographics, comorbidities, diagnoses, or use of medical services. While ICD-10 offered significantly more codes as well as more specific coding options, the ICD-10 encounters continued to use a small number of codes, were less likely to use multiple codes, and did not consistently exploit the more unique codes to create more specific diagnoses. These findings within the VHA system corresponded to similar challenges that have been documented with Medicare claims and in the private sector.

73-year-old Female with Syncope and Motor Vehicle Collision.

INTRODUCTION: Patients with traumatic injuries can be difficult to assess, and their evaluation often evolves in the emergency department (ED). We describe how an ED attending physician member developed a differential diagnosis for this presentation, arrived at a suspected diagnosis, and what test he proposed to prove his hypothesis. CASE PRESENTATION: This clinicopathological case presentation details the initial assessment and management of a 73-year-old female who presented to the ED following a motor vehicle collision precipitated by a syncopal episode. CONCLUSION: The final surprising diagnosis is then revealed.

55-year-old Male with Fatigue.

This clinicopathological case presentation from the University of Maryland details the initial assessment and management of a 55-year-old, dialysis-dependent man with fatigue. We present how one of our emergency medicine faculty develops her differential when faced with this complaint. She describes how she arrives at the suspected diagnosis and the test she believes is needed to prove her hypothesis. The final surprising diagnosis is then revealed.

19-year-old Woman with Intermittent Weakness.

INTRODUCTION: Systemic weakness is a common chief complaint of patients presenting to the emergency department (ED). A well thought out approach to the assessment and workup of these patients is key to diagnostic accuracy and definitive therapy. CASE PRESENTATION: In this case, a 19-year-old female presented to the ED with generalized weakness and near syncope. She had global weakness in her extremities and multiple electrolyte abnormalities. DISCUSSION: This case takes the reader through the differential diagnosis and evaluation of a patient with weakness and profound electrolyte derangements. It includes a discussion of the diagnostic studies and calculations that ultimately led to the patient's diagnosis.

Masking for COVID-19 Is Associated with Decreased Emergency Department Utilization for Non-COVID Viral Illnesses and Respiratory Conditions in Maryland.

BACKGROUND: Masking, which is known to decrease the transmission of respiratory viruses, was not widely practiced in the United States until the coronavirus disease 2019 (COVID-19) pandemic. This provides a natural experiment to determine whether the percentage of community masking was associated with decreases in emergency department (ED) visits due to non-COVID viral illnesses (NCVIs) and related respiratory conditions. METHODS: In this observational study of ED encounters in a 11-hospital system in Maryland during 2019-2020, year-on-year ratios for all complaints were calculated to account for "lockdowns" and the global drop in ED visits due to the pandemic. Encounters for specific complaints were identified using the International Classification of Diseases, version 10. Encounters with a positive COVID test were excluded. Linear regression was used to determine the association of publicly available masking data with ED visits for NCVI and exacerbations of asthma and chronic obstructive pulmonary disease (COPD), after adjusting for patient age, sex, and medical history. RESULTS: There were 285,967 and 252,598 ED visits across the hospital system in 2019 and 2020, respectively. There was a trend toward an association between the year-on-year ratio for all ED visits and the Maryland stay-at-home order (parameter estimate = -0.0804, P = .10). A 10% percent increase in the prevalence of community masking was associated with a 17.0%, 8.8%, and 9.4% decrease in ED visits for NCVI and exacerbations of asthma exacerbations and chronic obstructive pulmonary disease, respectively (P < .001 for all). CONCLUSIONS: Increasing the prevalence of masking is associated with a decrease in ED visits for viral illnesses and exacerbations of asthma and COPD. These findings may be valuable for future public health responses, particularly in future pandemics with respiratory transmission or in severe influenza seasons.

A spatio-temporal Bayesian model to estimate risk and evaluate factors related to drug-involved emergency department visits in the greater Baltimore metropolitan area.

The ongoing opioid overdose epidemic in the United States presents a major public health challenge. Opioid-involved morbidity, especially nonfatal emergency department (ED) visits, are a key opportunity to prevent mortality and measure the extent of the problem in the local substance use landscape. Data on the rate of ED visits is normally distributed by federal agencies. However, state- and substate-level rates of ED visit demonstrate significant geographic variation. This study uses an ongoing sample of ED visits from four hospitals in the University of Maryland Medical System from January 2016 to December 2019 to provide locally sensitive information on ED visit rates and risk for drug-related health outcomes. Using exploratory spatial data analysis and spatio-temporal Bayesian models, this study analyzes both the frequency and risk of heroin-, methadone-, and cocaine-involved ED visits across the greater Baltimore Maryland area at the Zip Code Tabulation Area-level (ZCTA). The Global Moran's I for total heroin-, methadone-, and cocaine-involved ED visits in 2019 was 0.44, 0.56, and 0.53, demonstrating strong positive spatial autocorrelation. Spatio-temporal Bayesian models indicated that ZCTA with a higher score in a deprivation index, with a higher share of Centers for Medicare Services claims, and adjacent to a sampled UMMS hospital had an increased risk of ED visits, with variation in the magnitude of this increased risk depending on the drug-demographic strata. Modeled disease risk surfaces - including posterior median risk and posterior exceedance probabilities - showed distinctly different risk surfaces between the substances of interest, probabilistically identifying ZCTA with a lower or higher risk of ED visits. The modeling approach used a sample of ED visits from a larger health system to estimate recent, locally sensitive drug-related morbidity across a large metropolitan area.

Comparison of 4 tests' utility for predicting need for emergency department care in patients with alcohol-related complaints.

INTRODUCTION: Intoxication is a common presenting complaint in emergency departments (ED), but many patients with intoxication do not need emergency care. Three screens (BLINDED, Brown, and San Francisco) attempt to determine which intoxicated patients can be triaged to a lower level of care. METHODS: Observational multi-center cohort study of patients presenting to one of three ED with complaints consistent with acute intoxication. When a qualifying patient was brought to the emergency department, a team member interviewed the triaging provider. Interviews covered all three screens and the provider's gestalt. Receiver operating curve (ROC) analysis was used to determine which screen performed best. Cases were reviewed to determine need for emergency care. RESULTS: Of the 199 subjects studied, 91% (181/199) were male and were 50 years old on average (SD = 12 years). Of the 55 subjects tested (28%), their average alcohol level was 251 mg/dL (SD = 146 mg/dL). Only 117 subjects (59%) had complete information for inclusion in the final comparison of screens. Provider gestalt performed best (AUC = 0.69), but there were no meaningful differences between any of the screens (AUC = 0.62-0.66, p > 0.05 for all comparisons). Inability to sit up was sensitive for needing emergent care (88%), but it was non-specific (17%). Similarly, signs of trauma were specific (99%) for ED care, but insensitive (18%). CONCLUSIONS: The three formal screens and provider gestalt performed similarly.

40-year-old Female with Sudden Onset Dyspnea.

A 40-year-old female presented to the emergency department (ED) after the acute onset of dyspnea. The patient was tachypneic with accessory muscle usage and diffuse wheezing on initial examination. Despite aggressive treatment, the patient deteriorated and was intubated. This case takes the reader through the differential diagnosis and systematic workup of a patient presenting to the ED with dyspnea and arrives at the unexpected cause for this patient's presentation.

Emergency Department Asthma "Spacing Trials": Institutional Variability and Time Cost.

BACKGROUND: Some admitting physicians request a medication-free interval ("spacing trial") in the emergency department (ED) to determine whether a patient with an acute exacerbation of asthma can be safely admitted to a hospital ward bed, where bronchodilators are only available every 4 h. OBJECTIVE: Our objectives were to estimate the frequency of ED spacing trials in different hospitals and their associated time cost. METHODS: This multicenter retrospective cohort study examined patients admitted for asthma from 2015 to 2018. We included all university records and a random sample of records from two community hospitals in the same urban area. Two team members abstracted data from each record using recommended methods, with group consensus to resolve differences. Proportion confidence intervals were calculated using normal binomial approximation. We calculated mean differences in ED stay associated with spacing trials, using multivariable linear regression to adjust for age, hospital type, history of intubation, initial pulse, initial respiratory rate, initial signs of distress. RESULTS: We collected data from 274 patients in the university hospital, and 71 and 70 cases from the community hospitals. An explicit spacing trial was noted in 52 of 274 (19%) university hospital records vs. 3 of 141 (2%) community hospital records, with a difference of 17% (95% confidence interval [CI] 11-23%). Delayed patient decompensation occurred in 3%, with no difference between hospitals. Spacing trials were associated with an adjusted mean of 159 min (95% CI 102-217 min) increase in ED stay. CONCLUSIONS: The practice of spacing varies widely between hospitals and is associated with substantial delay without an apparent benefit.