Evaluation of Early Warning Scores on In-Hospital Mortality in COVID-19 Patients: A Tertiary Hospital Study from Taiwan.

Coronavirus disease 2019 (COVID-19) remains a global pandemic. Early warning scores (EWS) are used to identify potential clinical deterioration, and this study evaluated the ability of the Rapid Emergency Medicine score (REMS), National Early Warning Score (NEWS), and Modified EWS (MEWS) to predict in-hospital mortality in COVID-19 patients. This study retrospectively analyzed data from COVID-19 patients who presented to the emergency department and were hospitalized between 1 May and 31 July 2021. The area under curve (AUC) was calculated to compare predictive performance of the three EWS. Data from 306 COVID-19 patients (61 ± 15 years, 53% male) were included for analysis. REMS had the highest AUC for in-hospital mortality (AUC: 0.773, 95% CI: 0.69-0.85), followed by NEWS (AUC: 0.730, 95% CI: 0.64-0.82) and MEWS (AUC: 0.695, 95% CI: 0.60-0.79). The optimal cut-off value for REMS was 6.5 (sensitivity: 71.4%; specificity: 76.3%), with positive and negative predictive values of 27.9% and 95.4%, respectively. Computing REMS for COVID-19 patients who present to the emergency department can help identify those at risk of in-hospital mortality and facilitate early intervention, which can lead to better patient outcomes.

Imbalanced prediction of emergency department admission using natural language processing and deep neural network.

The emergency department (ED) plays a very significant role in the hospital. Owing to the rising number of ED visits, medical service points, and ED market, overcrowding of EDs has become serious worldwide. Overcrowding has long been recognized as a vital issue that increases the risk to patients and negative emotions of medical personnel and impacts hospital cost management. For the past years, many researchers have been applying artificial intelligence to reduce crowding situations in the ED. Nevertheless, the datasets in ED hospital admission are naturally inherent with the high-class imbalance in the real world. Previous studies have not considered the imbalance of the datasets, particularly addressing the imbalance. This study purposes to develop a natural language processing model of a deep neural network with an attention mechanism to solve the imbalanced problem in ED admission. The proposed framework is used for predicting hospital admission so that the hospitals can arrange beds early and solve the problem of congestion in the ED. Furthermore, the study compares a variety of methods and obtains the best composition that has the best performance for forecasting hospitalization in ED. The study used the data from a specific hospital in Taiwan as an empirical study. The experimental result demonstrates that almost all imbalanced methods can improve the model's performance. In addition, the natural language processing model of Bi-directional Long Short-Term Memory with attention mechanism has the best results in all-natural language processing methods.

A pilot study of digital bedside cards in the emergency room of a medical centre in Taiwan.

The emergency room (ER) digital bedside card is a simple and important invention. It can be directly connected to the hospital information system to display important patient information in real time, reduce the workload of ER staff, improve their satisfaction, and provide useful information for patients and their families. We conducted a prospective study of ER staff using questionnaires and conducted Wilcoxon signed-rank test to compare before and after ER digital bedside card implementation in the Tamsui MacKay Memorial Hospital. Sixty participants of the ER staff joined the study before and after digital card implementation. After the ER digital bedside card was set up, the number of round trips from the nursing station to the ER bedside and the number of common questions asked by patients and their family members were significantly reduced. The cards reduced the response time for frequently asked questions by patients and their family members and significantly improved the satisfaction of ER staff. Our study showed that ER digital bedside cards reduced the workload of ER staff, provided patients and their families with useful information, and greatly improved ER staff satisfaction. This marks an important milestone in the future development of smart ER.

Discriminant ability of the shock index, modified shock index, and reverse shock index multiplied by the Glasgow coma scale on mortality in adult trauma patients: a PATOS retrospective cohort study.

BACKGROUND: The shock index (SI) predicts short-term mortality in trauma patients. Other shock indices have been developed to improve discriminant accuracy. The authors examined the discriminant ability of the SI, modified SI (MSI), and reverse SI multiplied by the Glasgow Coma Scale (rSIG) on short-term mortality and functional outcomes. METHODS: The authors evaluated a cohort of adult trauma patients transported to emergency departments. The first vital signs were used to calculate the SI, MSI, and rSIG. The areas under the receiver operating characteristic curves and test results were used to compare the discriminant performance of the indices on short-term mortality and poor functional outcomes. A subgroup analysis of geriatric patients with traumatic brain injury, penetrating injury, and nonpenetrating injury was performed. RESULTS: A total of 105 641 patients (49±20 years, 62% male) met the inclusion criteria. The rSIG had the highest areas under the receiver operating characteristic curve for short-term mortality (0.800, CI: 0.791-0.809) and poor functional outcome (0.596, CI: 0.590-0.602). The cutoff for rSIG was 18 for short-term mortality and poor functional outcomes with sensitivities of 0.668 and 0.371 and specificities of 0.805 and 0.813, respectively. The positive predictive values were 9.57% and 22.31%, and the negative predictive values were 98.74% and 89.97%. rSIG also had better discriminant ability in geriatrics, traumatic brain injury, and nonpenetrating injury. CONCLUSION: The rSIG with a cutoff of 18 was accurate for short-term mortality in Asian adult trauma patients. Moreover, rSIG discriminates poor functional outcomes better than the commonly used SI and MSI.

Association between the time to definitive care and trauma patient outcomes: every minute in the golden hour matters.

PURPOSE: This study examined the association between lapsed time and trauma patients, suggesting that a shorter time to definitive care leads to a better outcome. METHODS: We used the Pan-Asian Trauma Outcome Study registry to analyze a retrospective cohort of 963 trauma patients who received surgical intervention or transarterial embolization within 2 h of injury in Asian countries between January 2016 and December 2020. Exposure measurement was recorded every 30 min from injury to definitive care. The 30 day mortality rate and functional outcome were studied using the Modified Rankin Scale ratings of 0-3 vs 4-6 for favorable vs poor functional outcomes, respectively. Subgroup analyses of different injury severities and patterns were performed. RESULTS: The mean time from injury to definitive care was 1.28 ± 0.69 h, with cases categorized into the following subgroups: < 30, 30-60, 60-90, and 90-120 min. For all patients, a longer interval was positively associated with the 30 day mortality rate (p = 0.053) and poor functional outcome (p < 0.05). Subgroup analyses showed the same association in the major trauma (n = 321, p < 0.05) and torso injury groups (n = 388, p < 0.01) with the 30 day mortality rate and in the major trauma (p < 0.01), traumatic brain injury (n = 741, p < 0.05), and torso injury (p < 0.05) groups with the poor functional outcome. CONCLUSION: Even within 2 h, a shorter time to definitive care is positively associated with patient survival and functional outcome, especially in the subgroups of major trauma and torso injury.

Guidelines for COVID-19 Laboratory Testing for Emergency Departments From the New Diagnostic Technology Team of the Taiwan Society of Emergency Medicine.

COVID-19 tests have different turnaround times (TATs), accuracy levels, and limitations, which emergency physicians should be aware of. Nucleic acid amplification tests (NAATs) can be divided into standard high throughput tests and rapid molecular diagnostic tests at the point of care (POC). The standard NAAT has the advantages of high throughput and high accuracy with a TAT of 3-4 hours. The POC molecular test has the same advantages of high accuracy as standard high throughput PCR, but can be done in 13-45 minutes. Roche cobas Liat is the most commonly used machine in Taiwan, displaying 99%-100% sensitivity and 100% specificity, respectively. Abbott ID NOW is an isothermal PCR-based POC machine with a sensitivity of 79% and a specificity of 100%. A high rate of false positives and false negatives is associated with rapid antigen testing. Antibody testing is mostly used as part of public health surveys and for testing for immunity.

Associations between Hip Fracture Operation Waiting Time and Complications in Asian Geriatric Patients: A Taiwan Medical Center Study.

Early surgical intervention in hip fractures is associated with lower complications. This study aimed to determine the appropriate operation time among Asian geriatric patients. The data of 1118 elderly patients with hip fracture at Mackay Memorial Hospital from 1 January 2011, to 31 July 2019, were retrospectively examined. Association between operation waiting time and the occurrence of complications was calculated using a cubic spline model. Significantly increased incidence of pneumonia, myocardial infarction, and heart failure was observed in 30 and 90 days when the patient's surgical waiting time exceeded 36 h. The incidence rates of pneumonia across the early and delayed groups within 30 and 90 days were 4.4% vs. 7.9%, and 6.2% vs. 10.7%, those of myocardial infarction were 3.0% vs. 7.2%, and 5.7% vs. 9.3%, and those of heart failure were 15.2% vs. 26.8%, and 16.2% vs. 28.5%. Deep vein thrombosis and pulmonary embolism were not associated with surgical delay. The overall 30-day mortality rate was 5.4%, and no significant difference was observed when the surgical waiting time exceeded 36 h. In summary, operation waiting time exceeding 36-h was associated with increased rates of pneumonia, myocardial infarction, and heart failure in Asian geriatric patients undergoing hip fracture surgery.

Gas-forming bacterial peritonitis mimics hollow organ perforation.

Acute abdomen is an emergent condition in the emergency department, and it is mandatory to evaluate it immediately and treat it without delay. Pneumoperitoneum is usually attributed to perforation of the gastrointestinal tract. However, intra-abdominal, gynecologic, urologic, and miscellaneous pathogenesis not related to a perforated gastrointestinal tract had never been described in the past. Approximately 10% of pneumoperitoneum is not associated with hollow organ perforation. There are many imitators of pneumoperitoneum including subphrenic abscess, colon volvulus, Chilaiditi syndrome, and so on. In our case, the gas-forming bacterial peritonitis accounted for the pneumoperitoneum. We presented an 85-year-old man who received laparotomy due to peritonitis, and radiographic subphrenic free air was seen. However, a large amount of ascites was found rather than perforated bowels during the surgical exploration, and the culture of ascites was positive for Pseudomonas aeruginosa.

Sonographic detection of pseudoaneurysm in vascular injury in emergency department.

A 31-year-old man suffered from a stab wound to the lower extremity. The patient had a hard sign of a vascular injury (a diminished distal pulse) and therefore probably should have undergone operative repair, but refused. One week later, he returned to our emergency department with a painful right thigh swelling. Bedside sonography was used to detect a pseudoaneurysm. Emergency sonography is a fast, non-invasive, and rapid decision-making approach in emergency practice.