Management of COVID-19 Patients in the Emergency Department

Precision emergency medicine

BACKGROUND

Precision health is a burgeoning scientific discipline that aims to incorporate individual variability in biological, behavioral, and social factors to develop personalized health solutions. To date, emergency medicine has not deeply engaged in the precision health movement. However, rapid advances in health technology, data science, and medical informatics offer new opportunities for emergency medicine to realize the promises of precision health.

METHODS

In this article, we conceptualize precision emergency medicine as an emerging paradigm and identify key drivers of its implementation into current and future clinical practice. We acknowledge important obstacles to the specialty-wide adoption of precision emergency medicine and offer solutions that conceive a successful path forward.

RESULTS

Precision emergency medicine is defined as the use of information and technology to deliver acute care effectively, efficiently, and authentically to individual patients and their communities. Key drivers and opportunities include leveraging human data, capitalizing on technology and digital tools, providing deliberate access to care, advancing population health, and reimagining provider education and roles. Overcoming challenges in equity, privacy, and cost is essential for success. We close with a call to action to proactively incorporate precision health into the clinical practice of emergency medicine, the training of future emergency physicians, and the research agenda of the specialty.

CONCLUSIONS

Precision emergency medicine leverages new technology and data-driven artificial intelligence to advance diagnostic testing, individualize patient care plans and therapeutics, and strategically refine the convergence of the health system and the community.

Challenges and perspectives of tobacco cessation in special groups of patients and populations

During the first 2 years of the coronavirus disease 2019 pandemic, health systems worldwide were put under extreme pressure, and healthcare professionals had to manage unprecedented health crises as well as provide healthcare services to an increased number of patients. Therefore, public health policies with respect to smoking and education of the general population regarding the harmful effects of active and second-hand smoking may not have received adequate attention during this period. More specifically, certain subpopulations suffering from chronic diseases may not have received adequate information about the effects of smoking on the course and outcome of their disease; high-level, evidence-based pharmaceutical therapies; and the potential for follow-up. However, adequate education and awareness regarding short- and long-term health benefits from smoking cessation for the general population as well as special subgroups remains of utmost importance. Healthcare professionals should understand that it is only through high-quality evidence and results from independent studies that they will be able to provide their expertise and scientific knowledge concerning newer tobacco products and their effects on human health.

Social Determinants of Health and ER Utilization: Role of Information Integration during COVID-19

Emergency room (ER) admissions are the front door for the utilization of a community's health resources and serve as a valuable proxy for a community health system's capacity. While recent research suggests that social determinants of health (SDOH) are important predictors of patient health outcomes, their impact on ER utilization during the COVID-19 pandemic is not well understood. Further, the role of hospital information integration in moderating the impact of SDOH on ER utilization has not received adequate attention. Utilizing longitudinal claims data from a regional health information exchange spanning six years including the COVID-19 period, we study how SDOH affects ER utilization and whether effective integration of patient health information across hospitals can moderate its impact. Our results suggest that a patient's economic well-being significantly reduces future ER utilization. The magnitude of this relationship is significant when patients are treated at hospitals with high information integration but is weaker when patients receive care at hospitals with lower levels of information integration. Instead, patients' family and social support can reduce ER utilization when they are treated at hospitals with low information integration. In other words, different dimensions of SDOH are important in low versus high information integration conditions. Furthermore, predictive modeling shows that patient visit type and prior visit history can significantly improve the predictive accuracy of ER utilization. Our research implications support efforts to develop national standards for the collection and sharing of SDOH data, and their use and interpretation for clinical decision making by healthcare providers and policy makers.

The Management of Infectious Pulmonary Processes in the Emergency Department: Pneumonia

Pneumonia is a common diagnosis encountered by emergency medicine providers. It is crucial that an accurate and timely diagnosis is established in order to appropriately manage each patient. Following the outbreak of SARS-CoV-2 in 2019, the frequency of patient visits to the emergency department for symptoms consistent with pneumonia have increased and overwhelmed virtually all hospital systems. The rapid identification of COVID-19 patients is imperative for patient care and to these hospital systems experiencing the pandemic. Community-acquired bacterial pneumonia continues to be prevalent and clinical decision-making tools are useful aids to assist the appropriate disposition of patients.

Remdesivir-induced Bradycardia is not Associated with Worse Outcome in Patients with COVID-19: A Retrospective Analysis

Background

COVID-19, is primarily a respiratory illness but is known to cause extrapulmonary manifestations, especially on the cardiovascular system. Bradycardia is commonly reported in COVID-19 patients despite no prior history of occurrence, and many studies have shown an association with increased mortality. Multiple case reports have been published showcasing remdesivir potentially causing bradycardia. Our aim was to investigate the incidence of bradycardia in patients receiving remdesivir and examine the association with disease severity and survival outcomes.

Methods

A retrospective study was performed including 160 COVID-19 patients receiving remdesivir for 5 days. Patients’ demographics, comorbidities, medication, vital signs, laboratory tests and outcome were recorded. Bradycardia was defined as a heart rate < 60 beats/min and severe bradycardia < 50 beats/min.

Results

One hundred eighteen (73.8%) patients experienced at least one episode of bradycardia during hospitalisation. Bradycardia was present in 12 (7.5%) patients before treatment with remdesivir. The rate of bradycardia increased up to the 6th day of hospitalisation (40.6%) and subsequently diminished and normalised within 5 days after the last remdesivir dose (5% at Day 10). Severe bradycardia was observed in 13 (7.5%) patients. No difference was observed in ICU admission between groups (bradycardia vs no bradycardia). When we stratified patients according to the outcome of hospitalisation, no significant difference was observed in the occurrence of bradycardia between groups (alive vs dead) [p = 0.853].

Conclusions

Treatment with remdesivir may be associated with new-onset bradycardia in hospitalised patients with COVID-19. However, bradycardia is transient and is not associated with ICU admission and mortality.

Emergency Transport Refusal during the Early Stages of the COVID-19 Pandemic in Gyeonggi Province, South Korea

We analyzed the changes in patients’ clinical characteristics and transport refusal pre- and post-COVID-19 and identified the reasons for transport refusal using emergency medical services run sheet data from pre-COVID-19 (April−December 2019) and post-COVID-19 (April−December 2020) in Gyeonggi Province, South Korea. We included patients aged ≥18 years. Univariate and multivariate logistic regression analyses were performed to identify the relationship between patients’ personal factors and clinical characteristics and emergency transport refusal. During the control and study periods, 612,681 cases were reported; the transport refusal rates during the control and study periods were 6.7% and 8.2%, respectively. Emergency transport refusal was associated with younger age, the male sex, a normal mental status, a shock index < 1, and trauma in both the pre- and post-COVID-19 periods. Although fever prevented transport refusal during the pre-COVID-19 period (aOR, 0.620; 95% CI, 0.567−0.679), it became a significant risk factor for transport refusal during the post-COVID-19 period (aOR, 1.619; 95% CI, 1.534−1.709). The most common reason for transport refusal by critically ill patients was “because it was not accepted within the jurisdiction and remote transport was required.” It is necessary to expand the response capacity of patients with fever in the community to reduce the refusal of transport by critically ill patients.

Hydropneumothorax With Persistent Air Leak in a Patient With Mild COVID-19 Disease

COVID-19 is a pandemic viral disease with a catastrophic global impact. The severity of COVID-19 symptoms ranges from very mild to severe and affects mainly the respiratory system. Spontaneous pneumothorax and pleural effusion are rarely seen in spontaneously breathing COVID-19 patients. We herein report a case of a patient with mild COVID-19 disease presenting to the emergency department with hydropneumothorax. Due to persistent air leak, the patient was managed with video-assisted thoracoscopic surgery (VATS) bullectomy and talc pleurodesis. Clinicians managing these patients should be alert to early diagnose this complication.

FebriDx for rapid screening of patients with suspected COVID-19 upon hospital admission: systematic literature review and meta-analysis

A systematic literature review and meta-analysis was undertaken of the lateral flow-based FebriDx immunoassay for triaging patients with suspected coronavirus disease 2019 (COVID-19) upon admission to healthcare facilities. An electronic search was conducted in Scopus and Medline using the keywords ‘FebriDx’ AND ‘COVID-19’ OR ‘SARS-CoV-2’, with no language or date (i.e. up to 4^th February 2022) limits, selecting studies where FebriDx was used for triaging patients with suspected COVID-19 in acute care settings, and reporting sufficient data to construct a 2×2 table. Five studies were included in the final analysis, totalling 2309 patients. The pooled diagnostic sensitivity and specificity were 0.91 [95% confidence interval (CI) 0.88–0.93] and 0.92 (95% CI 0.90–0.93), whilst the area under the curve, accuracy and kappa statistics were 0.971 (95% CI 0.962–0.980), 91.4% (95% CI 90.2–92.5%) and 0.762 (95% CI 0.731–0.793), respectively, thus reflecting substantial agreement with reference molecular testing techniques. Negative and positive predictive values were 0.974 (95% CI 0.966–0.981) and 0.742 (95% CI 0.711–0.770), respectively. This pooled analysis demonstrated that FebriDx has clinical value for rapid screening of patients with suspected COVID-19 in acute care settings, especially in regions with high viral circulation in which the pre-test probability is high, and enables prioritization for confirmatory laboratory testing.

Social Response to the Vaccine against COVID-19: The Underrated Power of Influence

BACKGROUND

The Coronavirus Disease 2019 (COVID-19) pandemic has highlighted the need for preventive medicine and vaccinology to be paralleled to eliminate COVID-19 cases.

METHODS

A web-based questionnaire was disseminated through social media in the late November assessing the factors that may have influenced the final response to vaccination against COVID-19 in vaccinated and non-vaccinated Greek people.

RESULTS

Women, the younger generations, and university graduates were more likely to accept vaccination, whereas men, those with a basic education level, and the older generation showed a hesitance to the vaccine against COVID-19. About half of the vaccinated participants were influenced in their final decision mainly by being informed from the internet (50.4%), their work (51.7%), and social life (53,1%) while half of the non-vaccinated individuals were mostly influenced by keeping updated from the internet (55.5%) and by government policies (51.3%). COVID-19 risk (OR 2.511; CI 2.149-2.934; p = 0.000), frequent vaccinations for emerging pathogens (OR 14.022; CI 11.998-16.389), and social life (OR 2.828; CI 2.417-3.309; p = 0.000) had a significant impact on people's positive response to vaccination against COVID-19.

CONCLUSIONS

Monitoring and assessing the influence factors for the response to vaccination can be favourable strategies to further manage societal vaccination rates.