Bellolio, Fernanda

Objectives Evaluate associations between ACE inhibitors (ACEis) and angiotensin receptor blockers (ARBs) and clinical outcomes in acute viral respiratory illness (AVRI). Design Retrospective cohort analysis of claims data. Setting The USA; 2018–2019 influenza season. Participants Main cohort: people with hypertension (HTN) taking an ACEi, ARB or other HTN medications, and experiencing AVRI. Falsification cohort: parallel cohort receiving elective knee or hip replacement. Main outcome measures Main cohort: hospital admission, intensive care unit, acute respiratory distress (ARD), ARD syndrome and all-cause mortality. Falsification cohort: complications after surgery and all-cause mortality. Results The main cohort included 236 843 episodes of AVRI contributed by 202 629 unique individuals. Most episodes were in women (58.9%), 81.4% in people with Medicare Advantage and 40.3% in people aged 75+ years. Odds of mortality were lower in the ACEi (0.78 (0.74 to 0.83)) and ARB (0.64 (0.61 to 0.68)) cohorts compared with other HTN medications. On all other outcomes, people taking ARBs (but not ACEis) had a >10% reduction in odds of inpatient stays compared with other HTN medications. In the falsification analysis (N=103 353), both ACEis (0.89 (0.80 to 0.98)) and ARBs (0.82 (0.74 to 0.91)) were associated with decreased odds of complications compared with other HTN medications; ARBs (0.64 (0.47 to 0.87)) but not ACEis (0.79 (0.60 to 1.05)) were associated with lower odds of death compared with other HTN medications. Conclusions Outpatient use of ARBs was associated with better outcomes with AVRI compared with other medications for HTN. ACEis were associated with reduced risk of death, but with minimal or no reduction in risk of other complications. A falsification analysis conducted to provide context on the possible causal implications of these findings did not provide a clear answer. Further analysis using observational data will benefit from additional approaches to assess causal relationships between these drugs and outcomes in AVRI.

Background: Identification of systolic heart failure among patients presenting to the emergency department (ED) with acute dyspnea is challenging. The reasons for dyspnea are often multifactorial. A focused physical evaluation and diagnostic testing can lack sensitivity and specificity. The objective of this study was to assess the accuracy of an artificial intelligence-enabled ECG to identify patients presenting with dyspnea who have left ventricular systolic dysfunction (LVSD). Methods: We retrospectively applied a validated artificial intelligence-enabled ECG algorithm for the identification of LVSD (defined as LV ejection fraction ≤35%) to a cohort of patients aged ≥18 years who were evaluated in the ED at a Mayo Clinic site with dyspnea. Patients were included if they had at least one standard 12-lead ECG acquired on the date of the ED visit and an echocardiogram performed within 30 days of presentation. Patients with prior LVSD were excluded. We assessed the model performance using area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity. Results: A total of 1606 patients were included. Median time from ECG to echocardiogram was 1 day (Q1: 1, Q3: 2). The artificial intelligence-enabled ECG algorithm identified LVSD with an area under the receiver operating characteristic curve of 0.89 (95% CI, 0.86–0.91) and accuracy of 85.9%. Sensitivity, specificity, negative predictive value, and positive predictive value were 74%, 87%, 97%, and 40%, respectively. To identify an ejection fraction <50%, the area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity were 0.85 (95% CI, 0.83–0.88), 86%, 63%, and 91%, respectively. NT-proBNP (N-terminal pro-B-type natriuretic peptide) alone at a cutoff of >800 identified LVSD with an area under the receiver operating characteristic curve of 0.80 (95% CI, 0.76–0.84). Conclusions: The ECG is an inexpensive, ubiquitous, painless test which can be quickly obtained in the ED. It effectively identifies LVSD in selected patients presenting to the ED with dyspnea when analyzed with artificial intelligence and outperforms NT-proBNP. Graphic Abstract: A graphic abstract is available for this article.

Introduction Delirium is commonly missed in older adults presenting to the emergency department (ED). Although current recommendations for active screening of delirium in the ED, this might not be feasible or practical. Identifying patients at high risk for prevalent and incident delirium in the ED will help to improve the screening process and to build interventions. There is currently scattered synthesis of evidence on risk factors associated with delirium in the ED. To address this gap, we are conducting a systematic review to describe the risk factors (patient vulnerability factors and precipitating factors) for delirium in the ED. Methods and analysis A literature search was performed from inception to March 2020 in Ovid EBM Reviews, Ovid EMBASE, Ovid MEDLINE, Scopus and Web of Science. We will include original research studies that report a quantitative relationship between at least one risk factor and delirium in the ED setting. Two investigators will use eligibility criteria from this protocol to independently screen titles and abstracts, and select studies based on full-text review of potentially eligible studies. After arriving at a final set of included studies, two investigators will extract data using a standardised data collection form. If appropriate, data regarding each risk factor will be pooled through a random-effect meta-analysis. The Grading of Recommendations Assessment, Development and Evaluation approach will be used to evaluate the overall quality of evidence. Ethics and dissemination To our knowledge, this will be the first systematic review evaluating risk factors for prevalent and incident delirium specifically related to the ED setting. Results of this study will aid in the identification of older adults at risk for delirium in the ED. We aim to publish the results of this systematic review in a peer-reviewed journal with good visibility for the fields of emergency medicine and geriatrics. PROSPERO registration number CDR42020175261

Background: Palliative care has been identified as an area of low outpatient referral from our emergency department, yet palliative care has been shown to improve the quality of patient’s lives. Aim: This study investigates both provider and patient perspectives on palliative care for the purpose of identifying barriers to increased palliative care utilization within our healthcare system. Design: Two surveys were developed, one for patients/caregivers and one for healthcare providers. Setting/participants: This was a single-center study completed at a quaternary academic emergency department. A survey was sent to emergency medicine providers with 47% response rate. Research staff approached Emergency Department patients who had been identified to be high risk to fill out paper surveys with 76% response rate. Results: Only 28% of patients had already undergone palliative care, with an additional 25% interested in palliative care. Nearly half of the patients felt that they needed more resources to prevent hospital visits. Patients identified low understanding of palliative care and difficulty accessing appointments as barriers to consultation. Among providers, 98% indicated that they had patients who would benefit from palliative care. A majority of providers highlighted patient understanding of palliative care and access to appointments as barriers to palliative care. Notably, 52% of providers reported that emergency medicine provider knowledge was a barrier to palliative care consultation. Conclusions: Despite emergency department patients’ self-identified need for resources and emergency medicine providers’ recognition of patients who would benefit from palliative care, few patients receive palliative care consultation.

EXECUTIVE SUMMARY We sought to determine emergency medicine physicians’ accuracy in designating patients’ disposition status as “inpatient” or “observation” at the time of hospital admission in the context of Medicare’s Two-Midnight rule and to identify characteristics that may improve the providers’ predictions. We conducted a 90-day observational study of emergency department (ED) admissions involving adults aged 65 years and older and assessed the accuracy of physicians’ disposition decisions. Logistic regression models were fit to explore associations and predictors of disposition. A total of 2,257 patients 65 and older were admitted through the ED. The overall error rate in physician designation of observation or inpatient was 36%. Diagnoses most strongly associated with stays lasting less than two midnights included diverticulitis, syncope, and nonspecific chest pain. Diagnoses most strongly associated with stays lasting two or more midnights included orthopedic fractures, biliary tract disease, and back pain. ED physicians inaccurately predicted patient length of stay in more than one third of all patients. Under the Two-Midnight rule, these inaccurate predictions place hospitals at risk of underpayment and patients at risk of significant financial liability. Further work is needed to increase providers’ awareness of the financial repercussions of their admission designations and to identify interventions that can improve prediction accuracy.

Abstract Background: Awareness of burnout has led residency programs to seek interventions to promote well-being, resiliency, camaraderie and social network development. Limited evidence exists on the efficacy of specific interventions. This study evaluated the efficacy of an emergency medicine residency program’s semi-annual retreat using serial administration of the Maslach burnout index and resident well-being survey.Methods: Surveys were administered to all emergency medicine residents (n=25) in July 2018 and before and after fall 2018 and winter 2019 retreats. Retreats included a meal, team building, and social networking opportunities (bowling, softball, snow tubing, and sledding). Comparisons of responses between baseline, pre-retreat, and post-retreat were evaluated using two-sample t, Wilcoxon rank sum, and Fisher exact tests. Results: Sixteen emergency medicine residents (64%) responded at baseline. Response rates on subsequent surveys ranged from 14 (56%) to 21 (84%). Nineteen percent of residents exhibited burnout at baseline. This peaked at 36% pre-winter retreat. Burnout decreased after each retreat (fall: 29% to 6%, winter: 36% to 13%). Mean Maslach burnout index subscores for emotional exhaustion (13 to 9) and depersonalization (7 to 5) decreased from baseline to post-fall retreat, but neither changed significantly over the entire study period (emotional exhaustion: 13 to 12, depersonalization: 7 to 6). Resident well-being survey pre- and post-retreat responses were similar on all items.Conclusion: Meaningful, but not statistically significant differences were detected on the Maslach burnout index and resident well-being survey in association with a retreat. Mean emotional exhaustion, depersonalization and burnout decreased after retreats. Larger studies would provide further insight into the significance of these trends.

Abstract Background Awareness of burnout has led residency programs to seek interventions to promote well-being, resiliency, camaraderie and social network development. Limited evidence exists on the efficacy of specific interventions. This study evaluated the efficacy of an emergency medicine residency program’s semi-annual retreat using serial administration of the Maslach burnout index and resident well-being survey. Methods Surveys were administered to all emergency medicine residents (n = 25) in July 2018 and before and after fall 2018 and winter 2019 retreats. Retreats included a meal, team building, and social networking opportunities (bowling, softball, snow tubing, and sledding). Comparisons of responses between baseline, pre-retreat, and post-retreat were evaluated using two-sample t, Wilcoxon rank sum, and Fisher exact tests. Results Sixteen emergency medicine residents (64%) responded at baseline. Response rates on subsequent surveys ranged from 14 (56%) to 21 (84%). Nineteen percent of residents exhibited burnout at baseline. This peaked at 36% pre-winter retreat. Burnout decreased after each retreat (fall: 29–6%, winter: 36–13%). Mean Maslach burnout index subscores for emotional exhaustion (13 to 9) and depersonalization (7 to 5) decreased from baseline to post-fall retreat, but neither changed significantly over the entire study period (emotional exhaustion: 13 to 12, depersonalization: 7 to 6). Resident well-being survey pre- and post-retreat responses were similar on all items. Conclusion Meaningful, but not statistically significant differences were detected on the Maslach burnout index and resident well-being survey in association with a retreat. Mean emotional exhaustion, depersonalization and burnout decreased after retreats. Larger studies would provide further insight into the significance of these trends.

Background and objectives Dialysis is a preference-sensitive decision where prognosis may play an important role. Although patients desire risk prediction, nephrologists are wary of sharing this information. We reviewed the performance of prognostic indices for patients starting dialysis to facilitate bedside translation. Design, setting, participants, & measurements Systematic review and meta-analysis following the PRISMA guidelines. We searched Ovid MEDLINE, Ovid Embase, Ovid Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, and Scopus for eligible studies of patients starting dialysis published from inception to December 31, 2018. Selection Criteria: Articles describing validated prognostic indices predicting mortality at the start of dialysis. We excluded studies limited to prevalent dialysis patients, AKI and studies excluding mortality in the first 1–3 months. Two reviewers independently screened abstracts, performed full text assessment of inclusion criteria and extracted: study design, setting, population demographics, index performance and risk of bias. Pre-planned random effects meta-analysis was performed stratified by index and predictive window to reduce heterogeneity. Results Of 12,132 articles screened and 214 reviewed in full text, 36 studies were included describing 32 prognostic indices. Predictive windows ranged from 3 months to 10 years, cohort sizes from 46 to 52,796. Meta-analysis showed discrimination area under the curve (AUC) of 0.71 (95% confidence interval, 0.69 to 073) with high heterogeneity ( I 2 =99.12). Meta-analysis by index showed highest AUC for The Obi, Ivory, and Charlson comorbidity index (CCI)=0.74, also CCI was the most commonly used (ten studies). Other commonly used indices were Kahn-Wright index (eight studies, AUC 0.68), Hemmelgarn modification of the CCI (six studies, AUC 0.66) and REIN index (five studies, AUC 0.69). Of the indices, ten have been validated externally, 16 internally and nine were pre-existing validated indices. Limitations include heterogeneity and exclusion of large cohort studies in prevalent patients. Conclusions Several well validated indices with good discrimination are available for predicting survival at dialysis start.