Effective Response to a Regional Outbreak of COVID-19: Experience of a Tertiary Emergency Center.

OBJECTIVE: This study evaluates the usefulness, safety, and outcomes of operating a pretriage screening clinic and an expanded preemptive quarantine area in the emergency department (ED) during a regional coronavirus disease 2019 (COVID-19) outbreak. METHODS: A descriptive cross-sectional, retrospective study conducted in a single institution. General patient demographic data, initial vital sign, symptoms, and patient outcome was collected from January to March of 2020. Data were compared according to the implementation of a new protocol involving pretriage screening and risk stratification. Outcome was also analyzed according to quarantine areas, including conventional, negative pressured, cohort, or preemptive quarantine area. RESULTS: The pretriage clinic lowered the volume of low severity patients entering emergency department. Preemptive and cohort quarantine area provided more care to febrile patients compared with conventional quarantine area with longer length of hospital stay and lower mortality. After implementing the new protocol, emergency department in the study hospital was not closed again. CONCLUSIONS: In a regional outbreak of an epidemic, pretriage clinic safely screened infectious patients from entering ED. Expanded preemptive quarantine area increased surge capacity on quarantine area. An infectious disease protocol implementing 2 treatment areas may contribute to preserve and maintain ED function.

Impact of an emergency department resident strike during the coronavirus disease 2019 (COVID-19) pandemic in Daegu, South Korea: a retrospective cross-sectional study.

BACKGRUOUND: To prepare for future work stoppages in the medical industry, this study aimed to identify the effects of healthcare worker strikes on the mortality rate of patients visiting the emergency department (ED) at six training hospitals in Daegu, Korea. METHODS: We used a retrospective, cross-sectional, multicenter design to analyze the medical records of patients who visited six training hospitals in Daegu (August 21-September 8, 2020). For comparison, control period 1 was set as the same period in the previous year (August 21-September 8, 2019) and control period 2 was set as July 1-19, 2020. Patient characteristics including age, sex, and time of ED visit were investigated along with mode of arrival, length of ED stay, and in-hospital mortality. The experimental and control groups were compared using t-tests, and Mann-Whitney U-test, chi-square test, and Fisher exact tests, as appropriate. Univariate logistic regression was performed to identify significant factors, followed by multivariate logistic regression analysis. RESULTS: During the study period, 31,357 patients visited the ED, of which 7,749 belonged to the experimental group. Control periods 1 and 2 included 13,100 and 10,243 patients, respectively. No significant in-hospital mortality differences were found between study periods; however, the results showed statistically significant differences in the length of ED stay. CONCLUSION: The ED resident strike did not influence the mortality rate of patients who visited the EDs of six training hospitals in Daegu. Furthermore, the number of patients admitted and the length of ED stay decreased during the strike period.

Impact of the COVID-19 outbreak on adult out-of-hospital cardiac arrest outcomes in Daegu, South Korea: an observational study.

OBJECTIVE: This study aimed to compare the outcomes of adult out-of-hospital cardiac arrest (OHCA) before and after the coronavirus disease 2019 (COVID-19) outbreak in a large metropolitan city. METHODS: This before-and-after observational study used a prospective citywide OHCA registry. Adult patients with emergency medical service-treated OHCA, with presumed cardiac etiology, pre- and post-COVID-19 outbreak were enrolled. The study period spanned 2 months, starting from February 18, 2020. The control period was 2 months from February 18, 2019. The primary and secondary outcomes were good neurologic outcome and survival to hospital discharge, respectively. The association between the COVID-19 outbreak and OHCA outcomes was assessed using multivariable logistic regression analysis. RESULTS: This study analyzed 297 OHCA patients (control period, 145; study period, 152). The bystander cardiopulmonary resuscitation rates were 64.8% and 60.5% during the control and study periods, respectively. Response and on-scene times increased by 2 minutes, supraglottic airway use increased by 35.6%, and mechanical chest compression device use increased by 13% post-COVID-19 outbreak. Good neurologic outcome was significantly lower during the study period in overall OHCAs (adjusted odds ratio, 0.23; 95% confidence interval, 0.05-0.98) and in witnessed OHCAs (adjusted odds ratio, 0.14; 95% confidence interval, 0.02-0.90). No significant difference was found in the survival to hospital discharge of OHCA patients between the two periods. CONCLUSION: During the COVID-19 pandemic, the response and on-scene times were longer, and good neurologic outcome was significantly lower than that in the control period.

External validation of multimodal termination of resuscitation rules for out-of-hospital cardiac arrest patients in the COVID-19 era.

BACKGROUND: Futile resuscitation for out-of-hospital cardiac arrest (OHCA) patients in the coronavirus disease (COVID)-19 era can lead to risk of disease transmission and unnecessary transport. Various existing basic or advanced life support (BLS or ALS, respectively) rules for the termination of resuscitation (TOR) have been derived and validated in North America and Asian countries. This study aimed to evaluate the external validation of these rules in predicting the survival outcomes of OHCA patients in the COVID-19 era. METHODS: This was a multicenter observational study using the WinCOVID-19 Daegu registry data collected during February 18-March 31, 2020. The subjects were patients who showed cardiac arrest of presumed cardiac etiology. The outcomes of each rule were compared to the actual patient survival outcomes. The sensitivity, specificity, false positive value (FPV), and positive predictive value (PPV) of each TOR rule were evaluated. RESULTS: In total, 170 of the 184 OHCA patients were eligible and evaluated. TOR was recommended for 122 patients based on the international basic life support termination of resuscitation (BLS-TOR) rule, which showed 85% specificity, 74% sensitivity, 0.8% FPV, and 99% PPV for predicting unfavorable survival outcomes. When the traditional BLS-TOR rules and KoCARC TOR rule II were applied to our registry, one patient met the TOR criteria but survived at hospital discharge. With regard to the FPV (upper limit of 95% confidence interval < 5%), specificity (100%), and PPV (> 99%) criteria, only the KoCARC TOR rule I, which included a combination of three factors including not being witnessed by emergency medical technicians, presenting with an asystole at the scene, and not experiencing prehospital shock delivery or return of spontaneous circulation, was found to be superior to all other TOR rules. CONCLUSION: Among the previous nine BLS and ALS TOR rules, KoCARC TOR rule I was most suitable for predicting poor survival outcomes and showed improved diagnostic performance. Further research on variations in resources and treatment protocols among facilities, regions, and cultures will be useful in determining the feasibility of TOR rules for COVID-19 patients worldwide.

Confirmation of COVID-19 in Out-of-Hospital Cardiac Arrest Patients and Postmortem Management in the Emergency Department during the COVID-19 Outbreak.

BACKGROUND: There is currently a lack of evidence-based postresuscitation or postmortem guidelines for patients with out-of-hospital cardiac arrest (OHCA) in the setting of an emerging infectious disease. This study aimed to develop and validate a multimodal screening tool that aids in predicting the disease confirmation in emergency situations and patients with OHCA during a coronavirus disease 2019 (COVID-19) outbreak. MATERIALS AND METHODS: We conducted a retrospective, multicenter observational study of adult patients with OHCA in Daegu, Korea. To identify the potential predictors that could be used in screening tools in the emergency department, we applied logistic regression to data collected from March 1 to March 14. The prediction performance of the screening variables was then assessed and validated on the data of patients with OHCA who were treated between February 19 and March 31, 2020. General patient characteristics and hematological findings of the COVID-19-negative and COVID-19-positive groups were compared. We also evaluated confirmation test criteria as predictors for COVID-19 positivity in patients with OHCA. RESULTS: Advanced age, body temperature, and abnormal chest X-ray (CXR) revealed significant predictive ability in the derivation cohort. Of the 184 adult patients with OHCA identified in the validation cohort, 80 patients were included in the analysis. Notably, 9 patients were positive and 71 were negative on the COVID-19 reverse transcription polymerase chain reaction test. Five patients (55.6%) in the COVID-19-positive group had a fever before OHCA, and 12 (16.9%) of the COVID-19-negative group had a fever before OHCA (P = 0.018). Eight patients (88.9%) in the COVID-19-positive group had a CXR indicating pneumonic infiltration. Of the criteria for predicting COVID-19, fever or an abnormal CXR had a sensitivity of 100% (95% confidence interval [CI]: 65.4 - 100) and a specificity of 22.5% (95% CI: 13.5 - 34.0). CONCLUSION: The screening tools that combined fever or abnormal CXR had a good discriminatory ability for COVID-19 infection in adult patients with OHCA. Therefore, during the COVID-19 outbreak period, it is recommended to suspect COVID-19 infection and perform COVID-19 test if patients present with a history of fever or show abnormal findings in postmortem CXR.

Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study.

The recent medical applications of deep-learning (DL) algorithms have demonstrated their clinical efficacy in improving speed and accuracy of image interpretation. If the DL algorithm achieves a performance equivalent to that achieved by physicians in chest radiography (CR) diagnoses with Coronavirus disease 2019 (COVID-19) pneumonia, the automatic interpretation of the CR with DL algorithms can significantly reduce the burden on clinicians and radiologists in sudden surges of suspected COVID-19 patients. The aim of this study was to evaluate the efficacy of the DL algorithm for detecting COVID-19 pneumonia on CR compared with formal radiology reports. This is a retrospective study of adult patients that were diagnosed as positive COVID-19 cases based on the reverse transcription polymerase chain reaction among all the patients who were admitted to five emergency departments and one community treatment center in Korea from February 18, 2020 to May 1, 2020. The CR images were evaluated with a publicly available DL algorithm. For reference, CR images without chest computed tomography (CT) scans classified as positive for COVID-19 pneumonia were used given that the radiologist identified ground-glass opacity, consolidation, or other infiltration in retrospectively reviewed CR images. Patients with evidence of pneumonia on chest CT scans were also classified as COVID-19 pneumonia positive outcomes. The overall sensitivity and specificity of the DL algorithm for detecting COVID-19 pneumonia on CR were 95.6%, and 88.7%, respectively. The area under the curve value of the DL algorithm for the detection of COVID-19 with pneumonia was 0.921. The DL algorithm demonstrated a satisfactory diagnostic performance comparable with that of formal radiology reports in the CR-based diagnosis of pneumonia in COVID-19 patients. The DL algorithm may offer fast and reliable examinations that can facilitate patient screening and isolation decisions, which can reduce the medical staff workload during COVID-19 pandemic situations.

Preparedness of personal protective equipment and implementation of new CPR strategies for patients with out-of-hospital cardiac arrest in the COVID-19 era.

BACKGROUND: In February and March 2020, healthcare providers and citizens in Daegu, South Korea, experienced the onslaught of a large-scale community epidemic of COVID-19. This had a profound impact on patients who experienced out-of-hospital cardiac arrest (OHCA). METHODS: We conducted a retrospective observational study of 171 OHCA patients based on the multicenter WinCOVID registry. Demographic and clinical characteristics, overall survival, COVID-19 related data, as well as personal protective equipment (PPE) and resuscitation techniques used during the COVID-19 outbreak were evaluated and compared with outcomes from a 2018 historical cohort (n â€‹= â€‹158). RESULTS: Among the interventions, high-level PPE was introduced and standard cardiopulmonary resuscitation was changed to chest compressions using mechanical devices. All OHCA patients were treated as confirmed or suspicious for COVID-19 regardless of symptoms. Furthermore, complete or partial closures of emergency centers and the number of medical personnel requiring self-isolation decreased in response to the introduction of isolated resuscitation units. However, the adjusted odds ratio and 95% confidence intervals for survival discharge and favorable neurologic outcome were 0.51 (0.25-0.97) and 0.45 (0.21-1.07) compared with those in the 2018 historical cohort. CONCLUSIONS: Responses to the COVID-19 pandemic included changes to current PPE strategies and introduction of isolated resuscitation units; the latter intervention reduced the number of unexpected closures and quarantines of emergency resources early on during the COVID-19 outbreak. Given the possibility of future outbreaks, we need to have revised resuscitation strategies and the capacity to commandeer emergency resources for OHCA patients.