Observational study of organisational responses of 17 US hospitals over the first year of the COVID-19 pandemic.

OBJECTIVES: The COVID-19 pandemic has required significant modifications of hospital care. The objective of this study was to examine the operational approaches taken by US hospitals over time in response to the COVID-19 pandemic. DESIGN, SETTING AND PARTICIPANTS: This was a prospective observational study of 17 geographically diverse US hospitals from February 2020 to February 2021. OUTCOMES AND ANALYSIS: We identified 42 potential pandemic-related strategies and obtained week-to-week data about their use. We calculated descriptive statistics for use of each strategy and plotted percent uptake and weeks used. We assessed the relationship between strategy use and hospital type, geographic region and phase of the pandemic using generalised estimating equations (GEEs), adjusting for weekly county case counts. RESULTS: We found heterogeneity in strategy uptake over time, some of which was associated with geographic region and phase of pandemic. We identified a body of strategies that were both commonly used and sustained over time, for example, limiting staff in COVID-19 rooms and increasing telehealth capacity, as well as those that were rarely used and/or not sustained, for example, increasing hospital bed capacity. CONCLUSIONS: Hospital strategies during the COVID-19 pandemic varied in resource intensity, uptake and duration of use. Such information may be valuable to health systems during the ongoing pandemic and future ones.

Impact of the COVID pandemic on emergency department CT utilization: where do we go from here?

PURPOSE: To analyze the impact of the coronavirus disease (COVID) pandemic on emergency department (ED) computed tomography (CT) utilization. METHODS: A retrospective observational study was conducted assessing seven hospitals' ED imaging volumes between Jan. 6, 2019, and Feb. 27, 2021. Weekly CT utilization is reported as CTs ordered per 100 ED visits. Utilization was ascertained in aggregate and by body area. Interrupted time series analysis was performed to assess significance of utilization change. Prespecified sensitivity analysis was performed for influenza-like or COVID-like illness (ILI/CLI). RESULTS: Weekly ED CT utilization increased from 35.9 CTs per 100 visits (95% confidence interval [95% CI] 35.8-36.1) to 41.8 per 100 visits (95% CI 41.7-42.0) in pre- and post-pandemic periods. Weekly ED CT chest utilization increased immediately following the pandemic declaration (+ 0.52 chest CTs per 100 ED visits, 95% CI 0.01-1.03, p < 0.05) and compared to pre-pandemic period (+ 0.02 per 100 ED visits, 95% CI 0.02-0.05, p < 0.02). For both CT abdomen/pelvis and CT head, there was neither an immediate effect (+ 0.34 CT-AP per 100 ED visits, 95% CI - 0.74 to 1.44, p = 0.89; - 0.42 CT-H per 100 ED visits, 95% CI - 1.53 to 0.70, p = 0.46) nor a change in weekly CT utilization (+ 0.03 CT-AP per 100 ED visits, 95% CI - 0.01 to 0.05, p = 0.09; + 0.03 CT-H per 100 ED visits, 95% CI - 0.01 to 0.06, p = 0.10).  CONCLUSION: These data may help formulate future strategies for resource utilization and imaging operations as we envision a future with COVID and other federal mandates affecting imaging utilization and appropriateness.

Unintentional Opioid Overdose Death Characteristics in Illinois Before and During the COVID-19 Era, 2017 to 2020

This cross-sectional study characterizes Illinois unintentional opioid overdose deaths from July 2017 through June 2020 using data from the Centers for Disease Control and Prevention State Unintentional Drug Overdose Reporting System.

Clinical prediction rule for SARS-CoV-2 infection from 116 U.S. emergency departments 2-22-2021.

OBJECTIVES: Accurate and reliable criteria to rapidly estimate the probability of infection with the novel coronavirus-2 that causes the severe acute respiratory syndrome (SARS-CoV-2) and associated disease (COVID-19) remain an urgent unmet need, especially in emergency care. The objective was to derive and validate a clinical prediction score for SARS-CoV-2 infection that uses simple criteria widely available at the point of care. METHODS: Data came from the registry data from the national REgistry of suspected COVID-19 in EmeRgency care (RECOVER network) comprising 116 hospitals from 25 states in the US. Clinical variables and 30-day outcomes were abstracted from medical records of 19,850 emergency department (ED) patients tested for SARS-CoV-2. The criterion standard for diagnosis of SARS-CoV-2 required a positive molecular test from a swabbed sample or positive antibody testing within 30 days. The prediction score was derived from a 50% random sample (n = 9,925) using unadjusted analysis of 107 candidate variables as a screening step, followed by stepwise forward logistic regression on 72 variables. RESULTS: Multivariable regression yielded a 13-variable score, which was simplified to a 13-point score: +1 point each for age>50 years, measured temperature>37.5°C, oxygen saturation<95%, Black race, Hispanic or Latino ethnicity, household contact with known or suspected COVID-19, patient reported history of dry cough, anosmia/dysgeusia, myalgias or fever; and -1 point each for White race, no direct contact with infected person, or smoking. In the validation sample (n = 9,975), the probability from logistic regression score produced an area under the receiver operating characteristic curve of 0.80 (95% CI: 0.79-0.81), and this level of accuracy was retained across patients enrolled from the early spring to summer of 2020. In the simplified score, a score of zero produced a sensitivity of 95.6% (94.8-96.3%), specificity of 20.0% (19.0-21.0%), negative likelihood ratio of 0.22 (0.19-0.26). Increasing points on the simplified score predicted higher probability of infection (e.g., >75% probability with +5 or more points). CONCLUSION: Criteria that are available at the point of care can accurately predict the probability of SARS-CoV-2 infection. These criteria could assist with decisions about isolation and testing at high throughput checkpoints.

Unintentional Opioid Overdose Death Characteristics in Illinois Before and During the COVID-19 Era, 2017 to 2020.

This cross-sectional study characterizes Illinois unintentional opioid overdose deaths from July 2017 through June 2020 using data from the Centers for Disease Control and Prevention State Unintentional Drug Overdose Reporting System.

Emergency Department Patient Experiences During the COVID-19 Pandemic.

Emergency department (ED) utilization changed notably during the coronavirus disease 2019 (COVID-19) pandemic in the United States. The purpose of the study was to gain a more thorough understanding of ED patient experience during the early stages of the COVID-19 pandemic. This study used the consensual qualitative approach to analyze open-ended responses from post-ED patient experience surveys from February through July 2020. Comments were included in the analysis if they pertained to care during the pandemic (eg, mentioned "the virus," "masks," "PPE"). A total of 242 COVID-specific comments from 192 unique patients were analyzed (median age 49 years; 69% female). Six themes were identified: visually observed changes, experiences of process changes, expressions of understanding or appreciation, sense of security, COVID-19 disease-specific comments, and "classic" satisfaction comments that align with previous literature on patient experience. The COVID-19 pandemic has challenged health care systems across the world in unique and unprecedented ways. This study identified six themes that better elucidate ED patient experience during an unprecedented public health crisis.

Emergency Medicine Influencers' Twitter Use During the COVID-19 Pandemic: A Mixed-methods Analysis.

INTRODUCTION: The objective of this study was to analyze the messages of influential emergency medicine (EM) Twitter users in the United States (US) during the early stages of the coronavirus disease 2019 (COVID-19) global pandemic by characterizing the themes, emotional tones, temporal viewpoints, and depth of engagement with the tweets. METHODS: We performed a retrospective mixed-methods analysis of publicly available Twitter data derived from the publicly available "Coronavirus Tweet IDs" dataset, March 3, 2020-May 1, 2020. Original tweets and modified retweets in the dataset by 50 influential EM Twitter users in the US were analyzed using linguistic software to report the emotional tone and temporal viewpoint. We qualitatively analyzed a 25% random subsample and report themes. RESULTS: There were 1315 tweets available in the dataset from 36/50 influential EM Twitter users in the US. The majority of tweets were either positive (455/1315, 34.6%) or neutral (407/1315, 31%) in tone and focused on the present (1009/1315, 76.7%). Qualitative analysis identified six distinct themes, with users most often sharing news or clinical information. CONCLUSIONS: During the early weeks of the COVID-19 pandemic, influential EM Twitter users in the US delivered mainly positive or neutral messages, most often pertaining to news stories or information directly relating to patient care. The majority of these messages led to engagement by other users. This study underscores how EM influencers can leverage social media in public health outbreaks to bring attention to topics of importance.

Opioid-related Emergency Department Visits During COVID-19 in a Large Health System.

OBJECTIVE: Multiple states have reported increases in opioid overdose deaths during the coronavirus disease 2019 (COVID-19) pandemic, however little is known about opioid-related presentations to the emergency department (ED). METHODS: This was a time series analysis of visits to 7 EDs in greater Chicago, Illinois from October 20, 2019 to July 25, 2020. We compared the number of ED visits for opioid-related diagnoses in the time period preceding the World Health Organization pandemic declaration (prepandemic period, October 20, 2019-July 3, 2020) to the time period following the World Health Organization declaration (pandemic period, March 8, 2020 to July 25, 2020) using a single-group interrupted time series analysis with Newey-West standard errors. We also present data on alcohol-related ED visits for comparison. RESULTS: We evaluated a total of 177,405 visits across the 7 EDs during the study period. The mean number of weekly ED visits in the prepandemic and pandemic periods was 4841 and 4029 weekly visits, respectively. In the interrupted time series analysis, there was no significant immediate effect of the pandemic start on opioid-related ED visits (-0.44 visits per 1000 ED visits, 95% CI -2.47 to 1.58, P = 0.66), however, there was a significant immediate effect of the pandemic start on alcohol-related ED visits (-4.1, 95% CI: -8.25 to -0.01, P < 0.05). CONCLUSIONS: Despite reductions in overall ED visit volumes and alcohol-related visits during COVID-19, the number of opioid-related visits was not significantly reduced during the early pandemic. These data reinforce the need to provide comprehensive treatment services for opioid use disorder during the co-occurring COVID-19 and opioid crises.

Chest radiograph at admission predicts early intubation among inpatient COVID-19 patients.

OBJECTIVE: The 2019 Coronavirus (COVID-19) results in a wide range of clinical severity and there remains a need for prognostic tools which identify patients at risk of rapid deterioration and who require critical care. Chest radiography (CXR) is routinely obtained at admission of COVID-19 patients. However, little is known regarding correlates between CXR severity and time to intubation. We hypothesize that the degree of opacification on CXR at time of admission independently predicts need and time to intubation. METHODS: In this retrospective cohort study, we reviewed COVID-19 patients who were admitted to an urban medical center during March 2020 that had a CXR performed on the day of admission. CXRs were divided into 12 lung zones and were assessed by two blinded thoracic radiologists. A COVID-19 opacification rating score (CORS) was generated by assigning one point for each lung zone in which an opacity was observed. Underlying comorbidities were abstracted and assessed for association. RESULTS: One hundred forty patients were included in this study and 47 (34%) patients required intubation during the admission. Patients with CORS ≥ 6 demonstrated significantly higher rates of early intubation within 48 h of admission and during the hospital stay (ORs 24 h, 19.8, p < 0.001; 48 h, 28.1, p < 0.001; intubation during hospital stay, 6.1, p < 0.0001). There was no significant correlation between CORS ≥ 6 and age, sex, BMI, or any underlying cardiac or pulmonary comorbidities. CONCLUSIONS: CORS ≥ 6 at the time of admission predicts need for intubation, with significant increases in intubation at 24 and 48 h, independent of comorbidities. KEY POINTS: • Chest radiography at the time of admission independently predicts time to intubation within 48 h and during the hospital stay in COVID-19 patients. • More opacities on chest radiography are associated with several fold increases in early mechanical ventilation among COVID-19 patients. • Chest radiography is useful in identifying COVID-19 patients whom may rapidly deteriorate and help inform clinical management as well as hospital bed and ventilation allocation.

Incidentally discovered COVID-19 in low-suspicion patients-a threat to front line health care workers.

PURPOSE: The COVID-19 pandemic has been responsible for thousands of deaths worldwide. Testing remains at a premium, and criteria for testing remains reserved for those with lower respiratory infection symptoms and/or a known high-risk exposure. The role of imaging in COVID-19 is rapidly evolving; however, few algorithms include imaging criteria, and it is unclear what should be done in low-suspicion patients with positive imaging findings. METHODS: From 03/01/2020-03/20/2020, a retrospective review of all patients with suspected COVID-19 on imaging was performed. Imaging was interpreted by a board-certified, fellowship-trained radiologist. Patients were excluded if COVID-19 infection was suspected at the time of presentation, was the reason for imaging, or if any lower respiratory symptoms were present. RESULTS: Eight patients with suspected COVID-19 infection on imaging were encountered. Seven patients received testing due to suspicious imaging findings with subsequent lab-confirmed COVID-19. No patients endorsed prior exposure to COVID-19 or recent international travel. COVID-19 was suggested in six patients incidentally on abdominal CT and two on chest radiography. At the time of presentation, no patients were febrile, and seven endorsed gastrointestinal symptoms. Five COVID-19 patients eventually developed respiratory symptoms and required intubation. Two patients expired during the admission. CONCLUSIONS: Patients with imaging findings suspicious for COVID-19 warrant prompt reverse transcription polymerase chain reaction (RT-PCR) testing even in low clinical suspicion cases. The prevalence of disease in the population may be underestimated by the current paradigm of RT-PCR testing with the current clinical criteria of lower respiratory symptoms and exposure risk.