Characteristics of Suspected COVID-19 Discharged Emergency Department Patients Who Returned During the First Wave.

INTRODUCTION: Limited information exists on patients with suspected coronavirus disease 2019 (COVID-19) who return to the emergency department (ED) during the first wave. In this study we aimed to identify predictors of ED return within 72 hours for patients with suspected COVID-19. METHODS: Incorporating data from 14 EDs within an integrated healthcare network in the New York metropolitan region from March 2-April 27, 2020, we analyzed this data on predictors for a return ED visit-including demographics, comorbidities, vital signs, and laboratory results. RESULTS: In total, 18,599 patients were included in the study. The median age was 46 years old [interquartile range 34-58]), 50.74% were female, and 49.26% were male. Overall, 532 (2.86%) returned to the ED within 72 hours, and 95.49% were admitted at the return visit. Of those tested for COVID-19, 59.24% (4704/7941) tested positive. Patients with chief complaints of "fever" or "flu" or a history of diabetes or renal disease were more likely to return at 72 hours. Risk of return increased with persistently abnormal temperature (odds ratio [OR] 2.43, 95% CI 1.8-3.2), respiratory rate (2.17, 95% CI 1.6-3.0), and chest radiograph (OR 2.54, 95% CI 2.0-3.2). Abnormally high neutrophil counts, low platelet counts, high bicarbonate values, and high aspartate aminotransferase levels were associated with a higher rate of return. Risk of return decreased when discharged on antibiotics (OR 0.12, 95% CI 0.0-0.3) or corticosteroids (OR 0.12, 95% CI 0.0-0.9). CONCLUSION: The low overall return rate of patients during the first COVID-19 wave indicates that physicians' clinical decision-making successfully identified those acceptable for discharge.

Examining the Gender Gap in Emergency Medicine Research Publications.

STUDY OBJECTIVE: The objective of this study was to describe the proportion of female authors on original research articles and editorials across 4 emergency medicine journals from 2013 to 2019. A secondary objective was to examine the gender composition of middle authors in relation to the genders of their respective first and last authors. METHODS: In this observational study, we selected 4 journals in emergency medicine using the Journal of Citation Reports and prior literature to analyze genders of all authors from research articles and editorials published from January 2013 to September 2019. Reviewers identified author genders through web searches with matching academic qualifications or used a gender identification application programming interface to identify likelihood of male or female identity. The primary outcome was the proportion of female authors in each position. RESULTS: Selected publications included 2,980 original research articles with 18,224 authors (median 6, interquartile range [IQR] 4 to 8) and 433 editorials with 986 authors (median 2, IQR 1 to 2). Women occupied 34.9%, 24.3%, and 36.5% of first, last, and middle author positions on original research articles and 23.8%, 20.5%, and 34.2% of first, last, and middle author positions among editorials, respectively. Publications with female first and last authors (n=340 articles) had a larger proportion of female middle authors (49%, 634/1,290) compared to publications with male first and last authors (n=1667 articles, female middle authors 33% [2,215/6,771]). CONCLUSION: Over the 7 years examined, female authorship in these emergency medicine journals increased. A more pronounced gender gap exists in editorial authorship compared to research articles. On publications where the first and last author were women, a higher proportion of middle authors were women.

Increased Emergency Department Hallway Length of Stay is Associated with Development of Delirium.

INTRODUCTION: Our study aimed to determine 1) the association between time spent in the emergency department (ED) hallway and the development of delirium and 2) the hospital location of delirium development. METHODS: This single-center, retrospective chart review included patients 18+ years old admitted to the hospital after presenting, without baseline cognitive impairment, to the ED in 2018. We identified the Delirium group by the following: key words describing delirium; orders for psychotropics, special observation, and restraints; or documented positive Confusion Assessment Method (CAM) screen. The Control group included patients not meeting delirium criteria. We used a multivariable logistic regression model, while adjusting for confounders, to assess the odds of delirium development associated with percentage of ED LOS spent in the hallway. RESULTS: A total of 25,156 patients met inclusion criteria with 1920 (7.6%) meeting delirium criteria. Delirium group vs. Control group patients spent a greater percentage of time in the ED hallway (median 50.5% vs 10.8%, P<0.001); had longer ED LOS (median 11.94 vs 8.12 hours, P<0.001); had more ED room transfers (median 5 vs 4, P<0.001); and had longer hospital LOS (median 5.0 vs 4.6 days, P<0.001). Patients more frequently developed delirium in the ED (77.5%) than on inpatient units (22.5%). The relative odds of a patient developing delirium increased by 3.31 times for each percent increase in ED hallway time (95% confidence interval, 2.85, 3.83). CONCLUSION: Patients with delirium had more ED hallway exposure, longer ED LOS, and more ED room transfers. Understanding delirium in the ED has substantial implications for improving patient safety.