Risk Factors for Antibiotic Resistant Urinary Pathogens in Patients Discharged From the Emergency Department.

Purpose: Urinary tract infections (UTIs) are one of the most common indications for antimicrobial use in the emergency department (ED). Appropriate empiric selection is crucial to ensure optimal care while limiting broad-spectrum antibiotic use. The primary objective of this study was to evaluate the relationship between patient-specific risk factors and drug resistant urinary pathogens in patients discharged from the ED and followed by Emergency Medicine Pharmacists (EMPs). Methods: This was a single-center, retrospective chart review of adult (≥18 years old) patients with positive urine cultures discharged from the ED. The association between risk factors and pathogen resistance to ≥1 classes of antibiotics was evaluated using multivariate logistic regression. Risk factors included the following: hospitalization within the previous 30 days, intravenous antibiotic use within 90 days, diabetes, clinical atherosclerotic cardiovascular disease, psychiatric disorder, dementia, current antibiotic use for any indication, previous lifetime history of UTIs, indwelling or intermittent catheterization, hemodialysis, previous lifetime history of a urologic procedure, urinary tract abnormality, immunosuppressive disease or medications, current residence in a nursing or rehabilitation facility, and history of a multidrug resistant organism (MDRO). Results: A total of 1018 patients were included. There was an increase in the odds of antibiotic resistance in patients with cystitis and ≥2 risk factors (Odds Ratio [OR] = 1.70, 95% CI = 1.24-2.32). In those with pyelonephritis, there was a non-significant increase in the odds of resistance for those with ≥2 risk factors (OR = 1.83, 95% CI = 0.98-3.42). Patients with pyelonephritis discharged on inappropriate antibiotics were more likely to return to the ED within 30 days (P = .03). Conclusions: For patients with cystitis discharged from the ED, those with ≥2 patient-specific risk factors had significantly increased odds of antibiotic resistance. Patients with pyelonephritis, but not cystitis, who were discharged on inappropriate antibiotics were more likely to return to the ED within 30 days. In conjunction with an EMP culture follow-up program, the identification of risk factors for antimicrobial resistance can be used to design more patient-specific empiric antibiotic selections.

Intravenous insulin for the management of non-emergent hyperglycemia in the emergency department.

PURPOSE: There is currently no consensus regarding the necessity of emergency department (ED) glucose reduction to manage hyperglycemia in patients presenting without a hyperglycemic emergency. Known consequences of intravenous (IV) insulin administration include hypoglycemia, hypokalemia, and increased ED length of stay. The primary objective of this study was to assess the impact of IV regular insulin on glucose reduction and ED length of stay in patients presenting to the ED with non-emergent hyperglycemia. Secondary objectives included the characterization of potential adverse events. METHODS: This was a retrospective, observational study of patients ≥18 years who received IV regular insulin and were discharged from the ED at a large academic Trauma Center. Univariate and multivariable regression analyses were utilized to determine if an association existed between IV insulin administration and blood glucose as well as ED length of stay. RESULTS: A total of 405 patients were included in the analysis. An insulin dose >5 units was associated with a greater reduction in blood glucose (difference = 37.4 mg/dL; p < .001) but no difference in ED length of stay relative to ≤5 units. Furthermore, 7.9% of patients developed hypokalemia and 0.4% developed hypoglycemia. CONCLUSION: The use of >5 units of IV regular insulin for the management of isolated hyperglycemia in the ED was associated with a modest reduction in blood glucose and no difference in ED length of stay compared with those that received ≤5 units. However, use of IV insulin for this purpose resulted in a 7.9% occurrence of hypokalemia.

Incidence of prescription errors in patients discharged from the emergency department.

PURPOSE: The Emergency Department (ED) is known for its high rates of medication errors secondary to many characteristics such as unfamiliar patients, lack of continuity of care, increasing patient volumes, reliance on verbal orders, and fewer safety mechanisms. The purpose of this study was to quantify and characterize the medication errors that occur in patients discharged from the ED. METHODS: Prescriptions for patients discharged from the adult ED at an academic medical center from 2015 to 2018 were reviewed. Errors in discharge medication orders were documented as well as characteristics of these errors including medication class, errors in prescription directions, quantity prescribed, and refills given inappropriately. RESULTS: A total of 115,933 prescriptions were reviewed and a total of 20,498 errors were identified within 19,126 prescriptions. Of the errors identified, 4048 (19.7%) involved prescription directions, 6537 (31.9%) were errors in quantity prescribed, and 9913 (48.4%) were prescriptions written with refills. The proportion of errors among different prescriber statuses was significantly different when comparing all prescribers (p < .001). Prescriptions written by Non-Emergency Medicine residents had significantly more errors in quantity and refills (p < .001, p < .001), and prescriptions written by Emergency Medicine residents had significantly more errors in directions (p < .001). CONCLUSIONS: This review identified a 16.5% error rate among all prescriptions provided to patients upon ED discharge that varied among different subcategories of medications. This is consistent with the limited literature that is currently available on the topic. These results could assist institutions in developing targeted mitigation strategies to limit medication misadventures in patients discharged from the ED.

Weight-based versus non-weight-based diltiazem dosing in the setting of atrial fibrillation with rapid ventricular response.

PURPOSE: There is conflicting evidence to support the superiority of weight-based (WB) dosing of intravenous (IV) diltiazem over non-weight-based (NWB) dosing strategies in the management of atrial fibrillation (AFib) with rapid ventricular response (RVR). METHODS: A retrospective review evaluated patients presenting to the emergency department (ED) in AFib with RVR and receiving IV diltiazem from 2015 to 2018. Those receiving a NWB dose were compared with those receiving a WB dose based on actual body weight (ABW). Secondary analyses evaluated safety profiles of the regimens and compared response in groups defined by ABW or ideal body weight (IBW). RESULTS: A total of 371 patients were included in the analysis. No significant difference was observed in achieving a therapeutic response (66.5% vs. 73.1%, p = 0.18) or adverse events between the groups. Patients receiving a WB dose were significantly more likely to have a HR < 100 bpm than those receiving a NWB dose (40.9% vs. 53.5%, p = 0.01). When groups were defined by IBW, WB dosing was associated with a significantly higher incidence of achieving a therapeutic response (62.7% vs. 74.3%, p = 0.02). CONCLUSION: In patients presenting with AF with RVR, there was no significant difference in achieving a therapeutic response between the two strategies. A WB dosing approach did result in a greater proportion of patients with a HR < 100 bpm. The utilization of IBW for WB dosing may result in an increased achievement of a therapeutic response.

Automated detection of altered mental status in emergency department clinical notes: a deep learning approach.

BACKGROUND: Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to automate the identification of altered mental status (AMS) in emergency department provider notes for the purpose of decision support, we compare the performance of classic bag-of-words-based machine learning classifiers and novel deep learning approaches. METHODS: We used a case-control study design to extract an adequate number of clinical notes with AMS and non-AMS based on ICD codes. The notes were parsed to extract the history of present illness, which was used as the clinical text for the classifiers. The notes were manually labeled by clinicians. As a baseline for comparison, we tested several traditional bag-of-words based classifiers. We then tested several deep learning models using a convolutional neural network architecture with three different types of word embeddings, a pre-trained word2vec model and two models without pre-training but with different word embedding dimensions. RESULTS: We evaluated the models on 1130 labeled notes from the emergency department. The deep learning models had the best overall performance with an area under the ROC curve of 98.5% and an accuracy of 94.5%. Pre-training word embeddings on the unlabeled corpus reduced training iterations and had performance that was statistically no different than the other deep learning models. CONCLUSION: This supervised deep learning approach performs exceedingly well for the detection of AMS symptoms in clinical text in our environment. Further work is needed for the generalizability of these findings, including evaluation of these models in other types of clinical notes and other environments. The results seem promising for the ultimate use of these types of classifiers in combination with other information derived from the electronic health records as input for clinical decision support.

Clinician Perception of Risk As a Barrier to Implementation of a High-sensitivity Troponin Accelerated Diagnostic Protocol.

BACKGROUND: To assess emergency department (ED) clinician perception of patient risk, we measured willingness to discharge patients categorized as increased risk by traditional risk stratification modalities for acute coronary syndrome but low risk by a validated high-sensitivity troponin accelerated diagnostic protocol (HST-ADP). METHODS: This was a cross-sectional descriptive survey study distributed to ED clinicians at an urban academic medical center. Four clinical vignettes classified hypothetical patients as low risk for 30-day acute coronary syndrome according to the 0-/1-hour HST-ADP. Vignettes additionally identified patients with History, Electrocardiogram, Age, Risk factors, and initial Troponin (HEART) scores of 4 or 6 (2 cases each). One patient in each subset had preexisting coronary artery disease (CAD). ED clinicians self-reported willingness to discharge patients from the ED on a 10-point Likert scale. RESULTS: Among 66 eligible participants, 36 (55%) participated in the survey. ED clinicians reported a mean willingness to discharge patients of 6.07 (95% confidence interval, 5.34-6.80). They reported higher mean willingness to discharge patients with HEART scores of 4 compared with those with HEART scores of 6 (mean difference, 3.61; 95% confidence interval, 2.19-5.03). There were no differences in willingness to discharge regarding presence or absence of CAD or between clinician types (attending, resident, advanced practice provider). CONCLUSIONS: ED clinicians accustomed to the HEART Pathway demonstrated limited willingness to discharge patients from the ED categorized as moderate risk by the HEART score despite simultaneous classification as low risk by the 0-/1-hour HST-ADP. Willingness to discharge was higher with lower HEART scores but not affected by the presence of CAD and did not vary between clinician types.

Feasibility and Impact of the Combined Application of Coronary CT Angiography With the HEART Pathway in Patients With Suspected Acute Coronary Syndrome.

BACKGROUND: This study examines the feasibility and utility of integrating coronary computed tomography angiography and the HEART Pathway into a novel accelerated diagnostic protocol-called HEART-CT-and assesses its impact as an optional interactive decision support tool (smart form) in the electronic health record. METHODS: This was a retrospective observational study performed in 2 adult emergency departments (ED) among patients evaluated for suspected acute coronary syndrome. Primary outcomes included the rate of discharge from the ED following HEART-CT Smart Form use, 30-day major adverse cardiac events (MACE), and ED length of stay (LOS). Hypothesis-generating outcomes included the rate of Smart Form use by ED providers and whether adhering to the HEART-CT recommendations was associated with improved outcomes. RESULTS: The study included 672 subjects, 78.1% of whom were discharged from the ED. HEART-CT identified 76.7% of patients with increased risk HEAR scores as safe for discharge. No patients identified as low risk by HEART-CT had MACE within 30 days. Total mean ED LOS was 4.6 hours. ED providers used the HEART-CT smart form in 19.7% of eligible patients. ED providers who followed the HEART-CT recommendations had 3.41 times higher odds of ED discharging patients with increased risk HEAR scores than nonadherent providers (95% CI, 2.20-5.27). CONCLUSIONS: HEART-CT reclassified a large proportion of patients as safe for discharge, maintained a high sensitivity for detecting 30-day MACE, and had an acceptable ED LOS. Future studies should test the extent to which more automated clinical decision support improves provider adoption and clinical outcomes of HEART-CT.

Implementation of a Procainamide-Based Cardioversion Strategy for the Management of Recent-Onset Atrial Fibrillation.

Atrial fibrillation/flutter (AF) remains the most common rhythm disturbance in adult patients presenting to emergency departments (EDs). Although pharmacologic cardioversion has been established as safe and effective in recent-onset AF, its use in U.S. EDs is uncommon. The purpose of this study was to assess the safety and efficacy of intravenous (IV) procainamide for pharmacologic cardioversion in patients presenting to the ED with AF of <48-hr duration. Patients presenting to the ED with recent-onset AF (<48 hr) undergoing a cardioversion strategy with IV procainamide from 2017 to 2019 were reviewed. Clinical outcomes assessed included rates of cardioversion, hospital admission, stroke, and return ED visits for arrhythmia or serious adverse events. A total of 64 patients received procainamide therapy-60.9% achieved cardioversion and 35.9% were admitted to the hospital. The mean dose was 1062.4 mg (12.1 mg/kg). No patients returned to the ED secondary to stroke and 9.4% experienced complications attributed to procainamide, the most common being hypotension. Within 30 days of therapy, 20.3% of patients returned to the ED secondary to arrhythmia recurrence. Patients experiencing cardioversion with procainamide were less likely to be admitted to the hospital (25.6% vs. 52.0%; p = 0.04) or receive a rate control agent (17.9% vs. 64.0%; p = 0.001). There was no significant difference in the rate of 30-day return between those who experienced pharmacologic cardioversion and those who did not (p = 0.220). The implementation of a procainamide-based acute cardioversion strategy for patients presenting to the ED with recent-onset AF resulted in a 60% cardioversion rate, which was associated with a significantly higher rate of discharge from the ED. Transient hypotension was the most common adverse event. Further investigation into ED-based protocols for management of recent-onset AF is necessary to better understand their safety and efficacy.

Non-invasive fractional flow reserve (FFRCT) in the evaluation of acute chest pain - Concepts and first experiences.

OBJECTIVE: To evaluate 30 day rate of major adverse cardiac events (MACE) utilizing cCTA and FFRCT for evaluation of patients presenting to the Emergency Department (ED) with acute chest pain. MATERIALS AND METHODS: Patients between the ages of 18-95 years who underwent clinically indicated cCTA and FFRCT in the evaluation of acute chest pain in the emergency department were retrospectively evaluated for 30 day MACE, repeat presentation/admission for chest pain, revascularization, and additional testing. RESULTS: A total of 59 patients underwent CCTA and subsequent FFRCT for the evaluation of acute chest pain in the ED over the enrollment period. 32 out of 59 patients (54 %) had negative FFRCT (>0.80) out of whom 18 patients (55 %) were discharged from the ED. Out of the 32 patients without functionally significant CAD by FFRCT, 32 patients (100 %) underwent no revascularization and 32 patients (100 %) had no MACE at the 30-day follow-up period. CONCLUSION: In this limited retrospective study, patients presenting to the ED with acute chest pain and with CCTA with subsequent FFRCT of >0.8 had no MACE at 30 days; however, for many of these patients results were not available at time of clinical decision making by the ED physician.

Monotherapy Anticoagulation to Expedite Home Treatment of Patients Diagnosed With Venous Thromboembolism in the Emergency Department: A Pragmatic Effectiveness Trial.

BACKGROUND: The objective was to test if low-risk emergency department patients with vitamin K antagonist (venous thromboembolism [VTE]; including venous thrombosis and pulmonary embolism [PE]) can be safely and effectively treated at home with direct acting oral (monotherapy) anticoagulation in a large-scale, real-world pragmatic effectiveness trial. METHODS: This was a single-arm trial, conducted from 2016 to 2019 in accordance with the Standards for Reporting Implementation Studies guideline in 33 emergency departments in the United States. Participants had newly diagnosed VTE with low risk of death based upon either the modified Hestia criteria, or physician judgment plus the simplified PE severity index score of zero, together with nonhigh bleeding risk were eligible. Patients had to be discharged within 24 hours of triage and treated with either apixaban or rivaroxaban. Effectiveness was defined by the primary efficacy and safety outcomes, image-proven recurrent VTE and bleeding requiring hospitalization >24 hours, respectively, with an upper limit of the 95% CI for the 30-day frequency of VTE recurrence below 2.0% for both outcomes. RESULTS: We enrolled 1421 patients with complete outcomes data, including 903 with venous thrombosis and 518 with PE. The recurrent VTE requiring hospitalization occurred in 14/1421 (1.0% [95% CI, 0.5%-1.7%]), and bleeding requiring hospitalization occurred in 12/1421 (0.8% [0.4%-1.5%). The rate of severe bleeding using International Society for Thrombosis and Haemostasis criteria was 2/1421 (0.1% [0%-0.5%]). No patient died, and serious adverse events occurred in 2.5% of venous thrombosis patients and 2.3% of patients with PE. Medication nonadherence was reported by patients in 8.0% (6.6%-9.5%) and was associated with a risk ratio of 6.0 (2.3-15.2) for VTE recurrence. Among all patients diagnosed with VTE in the emergency department during the period of study, 18% of venous thrombosis patients and 10% of patients with PE were enrolled. CONCLUSIONS: Monotherapy treatment of low-risk patients with venous thrombosis or PE in the emergency department setting produced a low rate of bleeding and VTE recurrence, but may be underused. Patients with venous thrombosis and PE should undergo risk-stratification before home treatment. Improved patient adherence may reduce rate of recurrent VTE. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03404635.

Emergency Department Management of Recent-Onset Atrial Fibrillation.

Atrial fibrillation (AF) is the most common tachyarrhythmia managed in the emergency department (ED). Visits to the ED for a presentation of AF have been increasing in recent years, with an admission rate that exceeds 60% in the United States and contributes substantially to health care costs. Recent-onset AF-defined as symptom onset less than 48 hr-is a common ED presentation for which rate control or acute electrical or pharmacological cardioversion may be appropriate treatment modalities depending on patient-specific circumstances. The focus of this review is to discuss the current recommendations regarding the management of recent-onset nonvalvular AF in the ED, discuss medication administration considerations, and identify implementation strategies in the ED to optimize throughput and reduce hospital admissions.

Value of Machine Learning-based Coronary CT Fractional Flow Reserve Applied to Triple-Rule-Out CT Angiography in Acute Chest Pain.

PURPOSE: To evaluate the additional value of noninvasive artificial intelligence (AI)-based CT-derived fractional flow reserve (CT FFR), derived from triple-rule-out coronary CT angiography for acute chest pain (ACP) in the emergency department (ED) setting. MATERIALS AND METHODS: AI-based CT FFR from triple-rule-out CT angiography data sets was retrospectively obtained in 159 of 271 eligible patients (102 men; mean age, 57.0 years ± 9.7 [standard deviation]) presenting to the ED with ACP. The agreement between CT FFR (≤ 0.80) and stenosis at triple-rule-out CT angiography (≥ 50%), as well as downstream cardiac diagnostic testing, was investigated. Furthermore, the predictive value of CT FFR for coronary revascularization and major adverse cardiac events (MACE) was assessed over a 1-year follow-up period. RESULTS: CT FFR and triple-rule-out CT angiography demonstrated agreement in severity of coronary artery disease (CAD) in 52% (82 of 159) of all cases. CT FFR of 0.80 and less served as a better predictor for coronary revascularization and MACE than stenosis of 50% and greater at triple-rule-out CT angiography (odds ratio, 3.4; 95% confidence interval: 1.4, 8.2 vs odds ratio, 2.2; 95% confidence interval: 0.9, 5.3) (P < .01). In the subgroup of patients with additional noninvasive cardiac testing (94 of 159), there was higher agreement as to the presence or absence of significant disease with CT FFR (55%) than with coronary triple-rule-out CT angiography (47%) (P = .23). CONCLUSION: CT FFR derived from triple-rule-out CT angiography was a better predictor for coronary revascularization and MACE and showed better agreement with additional diagnostic testing than triple-rule-out CT angiography. Therefore, CT FFR may improve the specificity in identifying patients with ACP with significant CAD in the ED setting and reduce unnecessary downstream testing.© RSNA, 2020See also the commentary by Ihdayhid and Ben Zekry in this issue.

Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers.

Clinical text de-identification enables collaborative research while protecting patient privacy and confidentiality; however, concerns persist about the reduction in the utility of the de-identified text for information extraction and machine learning tasks. In the context of a deep learning experiment to detect altered mental status in emergency department provider notes, we tested several classifiers on clinical notes in their original form and on their automatically de-identified counterpart. We tested both traditional bag-of-words based machine learning models as well as word-embedding based deep learning models. We evaluated the models on 1,113 history of present illness notes. A total of 1,795 protected health information tokens were replaced in the de-identification process across all notes. The deep learning models had the best performance with accuracies of 95% on both original and de-identified notes. However, there was no significant difference in the performance of any of the models on the original vs. the de-identified notes.