Chief complaints and computed tomography results in the emergency department: a three-year retrospective cohort study.

BACKGROUND: Computed tomography (CT) is frequently performed in the patients who admitted to the emergency department (ED), discharged but returned to ED within 72 h. It is unknown whether the main complaints of patients assist physicians to use CT effectively. This study aimed to find the association between chief complaints and the CT results. METHODS: This three-year retrospective cohort study was conducted in the ED of a tertiary medical center. Adult patients who returned to the ED after the index visit were included from 2019 to 2021. Demographics, pre-existing diseases, chief complaints, and CT region were recorded by independent ED physicians. A logistic regression model with an odds ratio (OR) and 95% confidence interval (CI) was used to determine the relationship between chief complaints and positive CT results. RESULTS: In total, 7,699 patients revisited ED after the index visit; 1,202 (15.6%) received CT. The top chief complaints in patients who received CT were abdominal pain, dizziness, and muscle weakness. Patients with abdominal pain or gastrointestinal symptoms had a significantly higher rate of positive abdominopelvic CT than those without it (OR 2.83, 95% CI 1.98-4.05, p < 0.001), while the central nervous system and cardiopulmonary chief complaints were not associated (or negatively associated) with new positive CT findings. CONCLUSION: Chief complaints of patients on revisit to the ED are associated with different yields of new findings when CT scans of the chest, abdomen and head are performed. Physicians should consider these differential likelihoods of new positive findings based on these data.

Epidemiology and Prehospital Care of Pediatric Unintentional Injuries Among Countries with Different Economic Status in Asia: A Cross-National, Multi-Center Observational Study.

OBJECTIVE: Injury is a major cause of morbidity and mortality in children. However, the epidemiology and prehospital care for pediatric unintentional injuries in Asia are still unclear. METHODS: A total of 9,737 pediatric patients aged <18 years with unintentional injuries cared for at participating centers of the Pan-Asian Trauma Outcome Study (PATOS) from October 2015 to December 2020 were reviewed retrospectively. Patients were divided into two groups: those <8 and those ≥8 years of age. Variables such as patient demographics, injury epidemiology, Injury Severity Score (ISS), and prehospital care were collected. Injury severity and administered prehospital care stratified by gross national income were also analyzed. RESULTS: Pediatric unintentional injuries accounted for 9.4% of EMS-transported trauma cases in the participating Asian centers, and the mortality rate was 0.88%. The leading cause of injury was traffic injuries in older children aged ≥8 years (56.5%), while falls at home were common among young children aged <8 years (43.9%). Compared with younger children, older children with similar ISS tended to receive more prehospital interventions. Uneven disease severity was found in that older children in lower-middle and upper-middle-income countries had higher ISS compared with those in high-income countries. The performance of prehospital interventions also differed among countries with different gross national incomes. Immobilizations were the most performed prehospital intervention followed by oxygen administration, airway management, and pain control; only one patient received prehospital thoracentesis. Procedures were performed more frequently in high-income countries than in upper-middle-income and lower-middle-income countries. CONCLUSIONS: The major cause of injury was road traffic injuries in older children, while falls at home were common among young children. Prehospital care in pediatric unintentional injuries in Asian countries was not standardized and might be insufficient, and the economic status of countries may affect the implementation of prehospital care.

Differences in the characteristics and patterns of adult emergency department return visits before and after the coronavirus disease 2019 outbreak.

BACKGROUND: Data about changes in the characteristics of ED return visits before and after the COVID-19 outbreak are limited. This study aimed to report the differences on utility in ED return visits after the COVID-19 outbreak. METHODS: This retrospective cohort study was conducted from 2019 to 2020. Adult patients with ED return visits were included in the analysis. Variables including demographic characteristics, pre-comorbidities, triage levels, vital signs, chief complaints, management, and diagnosis were recorded and confirmed via a manual assessment. RESULTS: The proportion of patients with ED visits decreased by 23%. Hence, that of patients with ED return visits also reduced from 2580 to 2020 patients (22%) after the COVID-19 outbreak. The average age (60-57.8 years) of patients with return visits was significantly younger, and the proportion of female patients decreased remarkably. Further, the proportion of patients with chronic pre-existing diseases at the return visit significantly differed after the COVID-19 outbreak. The proportion of patients with chief complaints including dizziness, dyspnea, cough, vomiting, diarrhea, and chills during the return visits significantly differed before and after the COVID-19 pandemic. In the multivariable logistic regression model, age, high triage level were significantly associated with unfavorable outcome return visit. CONCLUSION: The use of services in the ED has changed since the COVID-19 outbreak. Hence, the proportion of patients with unplanned return visits within 72 h decreased. After the COVID-19 outbreak, people are now cautious whether they should return to the ED, as in the pre-pandemic situation, or just treat conservatively at home.

COVID-19 stigma associates with burnout among healthcare providers: Evidence from Taiwanese physicians and nurses.

BACKGROUND/PURPOSE: During pandemics like SARS-CoV-2, healthcare providers' well-being and morale are in particular at stake. Burnout may substantially hinder the well-being and morale of healthcare providers, challenging our efforts at disease containment. This study investigated the relationship between perceived COVID-19 stigma and burnout symptoms among physicians and nurses. We further aimed to identify potential factors that may moderate this relationship, including profession, clinical contact with COVID-19 patients, and prior experience with 2003 SARS-CoV-1. METHODS: We used a web-based, structured survey from March 12th to 29th, 2020 to collect cross-sectional, self-reported data. Participants were provided with a link to the survey which took them on average 5-8 minutes. Survey consisted of demographic characteristics, clinical experiences, perceived COVID-19 related stigma, and burnout symptoms. Linear regression with bootstrapping techniques was adopted to test the relations between stigma and burnout, as well as other potential moderators, while adjusting for demographic and clinical factors. RESULTS: Of the 1421 consented respondents, 357 identified as physicians while 1064 identified as nurses. Participants reported some levels of stigma, and noticeable burnout symptoms. Burnout symptoms were positively correlated with COVID-19 stigma, profession, and currently care for confirmed/suspected COVID-19 patients. The interaction between stigma and profession (Stigma × Nurses) but no other interaction terms reached the significance level, suggesting that the slope for nurses was flatter than the slope for physicians. CONCLUSION: The study results suggest that COVID-19 stigma may contribute to burnout among physicians and nurses, and this relation may not vary across clinical roles and experiences but profession.

Strategies on locations of public access defibrillator: A systematic review.

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a critical condition with poor outcomes. Although the survival rate increases in those who undergo defibrillation, the utility of on-time defibrillation among bystanders remained low. An evaluation of the deployment strategy for public access defibrillators (PADs) is necessary to increase their use and accessibility. This study was to conduct a systematic review for deployment strategies of PADs. METHODS: Two authors independently searched for articles published before October 2019 from PubMed, Embase, Web of Science, and Cochrane Library. An independent librarian provided the search strategy and assisted the literature research. We included articles that were focused on the main topic, but excluded those which were missing results or that used an unclear definition. The qualitative outcomes were the utility and OHCA coverage of PADs. We performed a qualitative analysis across the studies, but a quantitative analysis was not available due to the studies' heterogeneity in design and variety of outcomes. RESULTS: We eventually included 15 studies. Three strategies were presented: guidelines-based, grid-based, and landmark-based. The guidelines-based deployment was common fit for OHCA events. The grid-based method increased the use of bystander defibrillation 3-fold, and 30-day survival doubled. The top 3 landmarks in the landmark-based strategy were offices (18.6%), schools (13.3%), and sports facilities (12.9%). Utility of PADs might increase if we optimize PAD location by mathematical modeling and evaluation feedback. CONCLUSION: Three deployment strategies were presented. Although the optimal method could not be fully identified, a more efficient PAD deployment could benefit the population in terms of OHCA coverage and survival among patients with OHCA.

Association between prehospital time and outcome of trauma patients in 4 Asian countries: A cross-national, multicenter cohort study.

BACKGROUND: Whether rapid transportation can benefit patients with trauma remains controversial. We determined the association between prehospital time and outcome to explore the concept of the "golden hour" for injured patients. METHODS AND FINDINGS: We conducted a retrospective cohort study of trauma patients transported from the scene to hospitals by emergency medical service (EMS) from January 1, 2016, to November 30, 2018, using data from the Pan-Asia Trauma Outcomes Study (PATOS) database. Prehospital time intervals were categorized into response time (RT), scene to hospital time (SH), and total prehospital time (TPT). The outcomes were 30-day mortality and functional status at hospital discharge. Multivariable logistic regression was used to investigate the association of prehospital time and outcomes to adjust for factors including age, sex, mechanism and type of injury, Injury Severity Score (ISS), Revised Trauma Score (RTS), and prehospital interventions. Overall, 24,365 patients from 4 countries (645 patients from Japan, 16,476 patients from Korea, 5,358 patients from Malaysia, and 1,886 patients from Taiwan) were included in the analysis. Among included patients, the median age was 45 years (lower quartile [Q1]-upper quartile [Q3]: 25-62), and 15,498 (63.6%) patients were male. Median (Q1-Q3) RT, SH, and TPT were 20 (Q1-Q3: 12-39), 21 (Q1-Q3: 16-29), and 47 (Q1-Q3: 32-60) minutes, respectively. In all, 280 patients (1.1%) died within 30 days after injury. Prehospital time intervals were not associated with 30-day mortality. The adjusted odds ratios (aORs) per 10 minutes of RT, SH, and TPT were 0.99 (95% CI 0.92-1.06, p = 0.740), 1.08 (95% CI 1.00-1.17, p = 0.065), and 1.03 (95% CI 0.98-1.09, p = 0.236), respectively. However, long prehospital time was detrimental to functional survival. The aORs of RT, SH, and TPT per 10-minute delay were 1.06 (95% CI 1.04-1.08, p < 0.001), 1.05 (95% CI 1.01-1.08, p = 0.007), and 1.06 (95% CI 1.04-1.08, p < 0.001), respectively. The key limitation of our study is the missing data inherent to the retrospective design. Another major limitation is the aggregate nature of the data from different countries and unaccounted confounders such as in-hospital management. CONCLUSIONS: Longer prehospital time was not associated with an increased risk of 30-day mortality, but it may be associated with increased risk of poor functional outcomes in injured patients. This finding supports the concept of the "golden hour" for trauma patients during prehospital care in the countries studied.

The Effect of Successful Intubation on Patient Outcomes After Out-of-Hospital Cardiac Arrest in Taipei.

STUDY OBJECTIVE: The effect of out-of-hospital intubation in patients with out-of-hospital cardiac arrest remains controversial. The Taipei City paramedics are the earliest authorized to perform out-of-hospital intubation among Asian areas. This study evaluates the association between successful intubation and out-of-hospital cardiac arrest survival in Taipei. METHODS: We analyzed 6 years of Utstein-based registry data from nontrauma adult patients with out-of-hospital cardiac arrest who underwent out-of-hospital airway management including intubation, laryngeal mask airway, or bag-valve-mask ventilation. The primary analysis was intubation success on patient outcomes. The primary outcome was survival to discharge and the secondary outcomes included sustained return of spontaneous circulation and favorable neurologic survival. Sensitivity analysis was performed with intubation attempts rather than intubation success. Subgroup analysis of advanced life support-serviced districts was also performed. RESULTS: A total of 10,853 cases from 2008 to 2013 were analyzed. Among out-of-hospital cardiac arrest patients receiving airway management, successful intubation, laryngeal mask airway, and bag-valve-mask ventilation was reported in 1,541, 3,099, and 6,213 cases, respectively. Compared with bag-valve-mask device use, successful out-of-hospital intubation was associated with improved chances of sustained return of spontaneous circulation (adjusted odds ratio [aOR] 1.91; 95% confidence interval [CI] 1.66 to 2.19), survival to discharge (aOR 1.98; 95% CI 1.57 to 2.49), and favorable neurologic outcome (aOR 1.44; 95% CI 1.03 to 2.03). The results were comparable in sensitivity and subgroup analyses. CONCLUSION: In nontrauma adult out-of-hospital cardiac arrest in Taipei, successful out-of-hospital intubation was associated with improved odds of sustained return of spontaneous circulation, survival to discharge, and favorable neurologic outcome.

Performance of a simplified termination of resuscitation rule for adult traumatic cardiopulmonary arrest in the prehospital setting.

OBJECTIVE: The prehospital termination of resuscitation (TOR) guidelines for traumatic cardiopulmonary arrest (TCPA) was proposed in 2003. Its multiple descriptors of cases where efforts can be terminated make it complex to apply in the field. Here we proposed a simplified rule and evaluated its predictive performance. METHODS: We analysed Utstein registry data for 2009-2013 from a Taipei emergency medical service to test a simplified TOR rule that comprises two criteria: blunt trauma injury and the presence of asystole. Enrolees were adults (≥18 years) with TCPA. The predicted outcome was in-hospital death. We compared the areas under the curve (AUC) of the simple rule with each of four descriptors in the guidelines and with a combination of all four to assess their discriminatory ability. Test characteristics were calculated to assess predictive performance. RESULTS: A total of 893 TCPA cases were included. Blunt trauma occurred in 459 (51.4%) cases and asystole in 384 (43.0%). In-hospital mortality was 854 (95.6%) cases. The simplified TOR rule had greater discriminatory ability (AUC 0.683, 95% CI 0.618 to 0.747) compared with any single descriptor in the 2003 guidelines (range of AUC: 0.506-0.616) although the AUC was similar when all four were combined (AUC 0.695, 95% CI 0.615 to 0.775). The specificity of the simplified rule was 100% (95% CI 88.8% to 100%) and positive predictive value 100% (95% CI 96.8% to 100%). The false positive value, false negative value and decreased rate of unnecessary transport were 0% (95% CI 0% to 3.2%), 94.8% (95% CI 92.9% to 96.2%) and 16.4% (95% CI 14.1% to 19.1%), respectively. CONCLUSIONS: The simplified TOR rule appears to accurately predict non-survivors in adults with TCPA in the prehospital setting.

Multidimensional frailty in elderly emergency department patients: unveiling the prevalence and significance of social frailty.

PURPOSE: This study aimed to assess the prevalence and factors of physical, psychological, and social frailty among older adults in the emergency department, comparing these data with community population to understand emergency setting manifestations. METHODS: Conducted at the Emergency Department of National Taiwan University BioMedical Park Hospital, this prospective observational cohort study enrolled older adult patients over a three-month period. Frailty assessments included the Study of Osteoporotic Fractures scale for physical frailty, the Tilburg Frailty Indicator for psychological frailty, and the Makizako Social Frailty Index for social frailty. Data analysis involved a multivariable logistic model to determine the risk factors associated with each frailty type. RESULTS: Out of 991 older adult individuals seeking medical care, 207 participated in the study. The study found high prevalence rates of frailty: 46.38% for physical, 41.06% for psychological, and 48.79% for social frailty. Risk factors for frailty included older age and a history of falls. Interestingly, the prevalence of social frailty was notably higher than physical and psychological frailty. Gender and polypharmacy showed no significant association with any frailty type. CONCLUSION: This research reveals high physical, psychological, and social frailty among older ED patients, especially noting social frailty's prevalence. It highlights the importance for emergency care to adopt holistic care strategies that address older adults' multifaceted health challenges, suggesting a paradigm shift in current healthcare practices to better cater to the multifaceted needs of this vulnerable population.

RéSUMé: OBJECTIFS: Cette étude visait à évaluer la prévalence et les facteurs de la fragilité physique, psychologique et sociale chez les personnes âgées au service des urgences, en comparant ces données avec la population communautaire pour comprendre les manifestations en situation d'urgence. MéTHODES: Menée au service des urgences de l'hôpital BioMedical Park de l'Université nationale de Taiwan, cette étude prospective de cohorte observationnelle a recruté des patients adultes âgés sur une période de trois mois. Les évaluations de la fragilité comprenaient l'échelle de l'étude des fractures ostéoporotiques pour la fragilité physique, l'indicateur de la fragilité psychologique de Tilburg et l'indice de fragilité sociale de Makizako pour la fragilité sociale. L'analyse des données comportait un modèle logistique multivarié pour déterminer les facteurs de risque associés à chaque type de fragilité. RéSULTATS: Sur 991 personnes âgées ayant besoin de soins médicaux, 207 ont participé à l'étude. L'étude a révélé des taux de prévalence élevés de la fragilité : 46,38% pour le physique, 41,06% pour le psychologique et 48,79% pour la fragilité sociale. Les facteurs de risque de fragilité comprenaient un âge avancé et des antécédents de chute. Fait intéressant, la prévalence de la fragilité sociale était nettement plus élevée que la fragilité physique et psychologique. Le genre et la polypharmacie n'ont montré aucune association significative avec aucun type de fragilité. CONCLUSION: Cette recherche révèle une grande fragilité physique, psychologique et sociale chez les patients âgés aux urgences, en particulier la prévalence de la fragilité sociale. Il souligne l'importance pour les soins d'urgence d'adopter des stratégies de soins holistiques qui répondent aux défis de santé multiformes des personnes âgées, suggérant un changement de paradigme dans les pratiques de soins de santé actuelles pour mieux répondre aux besoins multiformes de cette population vulnérable.

The interaction of sex and age on outcomes in emergency medical services-treated out-of-hospital cardiac arrest: A 5-year multicenter retrospective analysis.

Background: Studies have established that sex and age influence outcomes following out-of-hospital cardiac arrest (OHCA). However, a knowledge gap exists regarding their interaction. This study aimed to investigate the interaction of age and sex and how they cooperatively influence OHCA outcomes. Methods: This retrospective cohort study included adult, nontraumatic OHCA patients admitted to a university hospital and its affiliated hospitals in Taiwan from January 2017 to December 2021. Data including sex, age, body mass index, cardiac rhythm, and resuscitation information in the emergency department (ED) were collected from medical records. The study outcomes encompassed survival to intensive care unit (ICU) admission, survival to hospital discharge, and a favorable neurological outcome. Multivariable logistic regression was performed to estimate the influence of sex on study outcomes. Results: We analyzed a total of 2,826 eligible subjects categorized into three groups: young (18-44 years, 149 males and 57 females), middle-aged (45-64 years, 524 males and 188 females), and old (≥65 years, 1,049 males and 859 females). Analysis of the effects of sex according to age stratification showed that old males had higher odds for survival to ICU admission (OR: 1.49, 95% CI: 1.21-1.83) and favorable neurological outcomes (OR: 2.74, 95% CI: 1.58-4.76) than did old females. Analysis of the effects of age according to sex stratification revealed that old males had lower odds for survival to hospital discharge (OR: 0.33, 95% CI: 0.21-0.51) and favorable neurological outcomes (OR: 0.26, 95% CI: 0.16-0.43) than did young males. Old females also showed the same trend as males, with lower odds for survival to hospital discharge (OR: 0.37, 95% CI: 0.17-0.78) and favorable neurological outcomes (OR: 0.11, 95% CI: 0.05-0.25) than did young females. Conclusions: The interaction between sex and age in patients with OHCA results in diverse outcomes. Within the same sex, age demonstrated varying effects on distinct outcomes.

Comparison of on-scene Glasgow Coma Scale with GCS-motor for prediction of 30-day mortality and functional outcomes of patients with trauma in Asia.

BACKGROUND AND IMPORTANCE: This study compared the on-scene Glasgow Coma Scale (GCS) and the GCS-motor (GCS-M) for predictive accuracy of mortality and severe disability using a large, multicenter population of trauma patients in Asian countries. OBJECTIVE: To compare the ability of the prehospital GCS and GCS-M to predict 30-day mortality and severe disability in trauma patients. DESIGN: We used the Pan-Asia Trauma Outcomes Study registry to enroll all trauma patients >18 years of age who presented to hospitals via emergency medical services from 1 January 2016 to November 30, 2018. SETTINGS AND PARTICIPANTS: A total of 16,218 patients were included in the analysis of 30-day mortality and 11 653 patients in the analysis of functional outcomes. OUTCOME MEASURES AND ANALYSIS: The primary outcome was 30-day mortality after injury, and the secondary outcome was severe disability at discharge defined as a Modified Rankin Scale (MRS) score ≥4. Areas under the receiver operating characteristic curve (AUROCs) were compared between GCS and GCS-M for these outcomes. Patients with and without traumatic brain injury (TBI) were analyzed separately. The predictive discrimination ability of logistic regression models for outcomes (30-day mortality and MRS) between GCS and GCS-M is illustrated using AUROCs. MAIN RESULTS: The primary outcome for 30-day mortality was 1.04% and the AUROCs and 95% confidence intervals for prediction were GCS: 0.917 (0.887-0.946) vs. GCS-M:0.907 (0.875-0.938), P  = 0.155. The secondary outcome for poor functional outcome (MRS ≥ 4) was 12.4% and the AUROCs and 95% confidence intervals for prediction were GCS: 0.617 (0.597-0.637) vs. GCS-M: 0.613 (0.593-0.633), P  = 0.616. The subgroup analyses of patients with and without TBI demonstrated consistent discrimination ability between the GCS and GCS-M. The AUROC values of the GCS vs. GCS-M models for 30-day mortality and poor functional outcome were 0.92 (0.821-1.0) vs. 0.92 (0.824-1.0) ( P  = 0.64) and 0.75 (0.72-0.78) vs. 0.74 (0.717-0.758) ( P  = 0.21), respectively. CONCLUSION: In the prehospital setting, on-scene GCS-M was comparable to GCS in predicting 30-day mortality and poor functional outcomes among patients with trauma, whether or not there was a TBI.

Prediction of high-risk emergency department revisits from a machine-learning algorithm: a proof-of-concept study.

BACKGROUND: High-risk emergency department (ED) revisit is considered an important quality indicator that may reflect an increase in complications and medical burden. However, because of its multidimensional and highly complex nature, this factor has not been comprehensively investigated. This study aimed to predict high-risk ED revisit with a machine-learning (ML) approach. METHODS: This 3-year retrospective cohort study assessed adult patients between January 2019 and December 2021 from National Taiwan University Hospital Hsin-Chu Branch with high-risk ED revisit, defined as hospital or intensive care unit admission after ED return within 72 hours. A total of 150 features were preliminarily screened, and 79 were used in the prediction model. Deep learning, random forest, extreme gradient boosting (XGBoost) and stacked ensemble algorithm were used. The stacked ensemble model combined multiple ML models and performed model stacking as a meta-level algorithm. Confusion matrix, accuracy, sensitivity, specificity and area under the receiver operating characteristic curve (AUROC) were used to evaluate performance. RESULTS: Analysis was performed for 6282 eligible adult patients: 5025 (80.0%) in the training set and 1257 (20.0%) in the testing set. High-risk ED revisit occurred for 971 (19.3%) of training set patients vs 252 (20.1%) in the testing set. Leading predictors of high-risk ED revisit were age, systolic blood pressure and heart rate. The stacked ensemble model showed more favourable prediction performance (AUROC 0.82) than the other models: deep learning (0.69), random forest (0.78) and XGBoost (0.79). Also, the stacked ensemble model achieved favourable accuracy and specificity. CONCLUSION: The stacked ensemble algorithm exhibited better prediction performance in which the predictions were generated from different ML algorithms to optimally maximise the final set of results. Patients with older age and abnormal systolic blood pressure and heart rate at the index ED visit were vulnerable to high-risk ED revisit. Further studies should be conducted to externally validate the model.

The impact of adding clinical assistants on patient waiting time in a crowded emergency department.

BACKGROUND: Emergency department (ED) crowding causes prolonged waiting times. OBJECTIVE: To evaluate the potential benefit of introducing clinical assistants to a busy and crowded ED. METHODS: This was a retrospective cohort study at an urban, academic tertiary medical centre. We introduced one clinical assistant to each ED shift. The main task of clinical assistants was managing the flow of incoming ED patients. The case group consisted of all adult non-trauma emergency patients during the case period from 1 September to 30 November 2008. The first control group consisted of all adult non-trauma emergency patients between 1 June and 31 August 2008 and the second control group consisted of all patients treated between 1 September and 30 November 2007. The primary outcome was the 'waiting time', defined as the time from triage to the time of the first medical order entered into the computer system. The secondary outcome was the number of adult non-trauma emergency patients who left the ED without being seen. RESULTS: There were 12 257 cases and 25 950 controls. The mean and median waiting times were significantly shorter in the case group. The mean waiting time of the case group was 20.86 min, which was 4.51 min (17.8%) shorter than that of the first control group and 7.41 min (26.2%) shorter than that of the second control group. The median waiting time of the case group was also significantly shorter than those of the control groups. The number of the patients who left without being seen was significantly smaller in the case period. CONCLUSIONS: In a busy and crowded ED, the introduction of clinical assistants to an existing emergency health service effectively reduces patient waiting times and decreases the number of patients leaving without being seen.

Risk stratification of patients with chest pain who have an unscheduled revisit to the emergency department.

AIMS: Acute cardiovascular (CV) emergencies are critical conditions that require urgent attention in the emergency department (ED). Failure to make a timely diagnosis may result in unscheduled ED revisits and severe outcomes. Therefore, this study aimed to investigate the risk factors associated with potentially missed acute CV emergencies. METHODS AND RESULTS: This retrospective study enrolled adult patients who presented with chest pain and returned to the ED within 72 h. Demographic information, pre-existing medical conditions, chief complaints, triage level and vital signs, electrocardiography (ECG) reports, and laboratory data were collected from medical charts by independent physicians. The primary outcome was the diagnosis of acute CV diseases, including ACS, pulmonary embolism, unstable arrhythmia, acute decompensated heart failure, and aortic dissection. Multivariable logistic regression was used to analyze the association between variables and acute CV emergencies. A total of 453 eligible patients were included, with 60 (13.2%) patients diagnosed as acute CV emergencies at the ED revisit. Risk factors for acute CV emergencies included male gender (adjusted odds ratio [aOR] = 2.71, 95% confidence interval [CI] = 1.17-6.25), abnormal ECG rhythm (aOR = 10.33, 95% CI = 4.68-22.83), and abnormal changes in high sensitivity Troponin-T (hs-cTnT) during sequential follow-up (aOR = 6.52, 95% CI = 2.19-19.45). CONCLUSIONS: Male gender, abnormal ECG rhythm, and a significant increase in sequential follow-up hs-cTnT levels were identified as significant risk factors for acute CV emergencies. ED physicians should recognize these high-risk patients with chest pain to prevent misdiagnosis and potential severe complications.

Machine learning to predict in-hospital cardiac arrest from patients presenting to the emergency department.

In-hospital cardiac arrest (IHCA) in the emergency department (ED) is not uncommon but often fatal. Using the machine learning (ML) approach, we sought to predict ED-based IHCA (EDCA) in patients presenting to the ED based on triage data. We retrieved 733,398 ED records from a tertiary teaching hospital over a 7 year period (Jan. 1, 2009-Dec. 31, 2015). We included only adult patients (≥ 18 y) and excluded cases presenting as out-of-hospital cardiac arrest. Primary outcome (EDCA) was identified via a resuscitation code. Patient demographics, triage data, and structured chief complaints (CCs), were extracted. Stratified split was used to divide the dataset into the training and testing cohort at a 3-to-1 ratio. Three supervised ML models were trained and performances were evaluated and compared to the National Early Warning Score 2 (NEWS2) and logistic regression (LR) model by the area under the receiver operating characteristic curve (AUC). We included 316,465 adult ED records for analysis. Of them, 636 (0.2%) developed EDCA. Of the constructed ML models, Random Forest outperformed the others with the best AUC result (0.931, 95% CI 0.911-0.949), followed by Gradient Boosting (0.930, 95% CI 0.909-0.948) and Extra Trees classifier (0.915, 95% CI 0.892-0.936). Although the differences between each of ML models and LR (AUC: 0.905, 95% CI 0.882-0.926) were not significant, all constructed ML models performed significantly better than using the NEWS2 scoring system (AUC 0.678, 95% CI 0.635-0.722). Our ML models showed excellent discriminatory performance to identify EDCA based only on the triage information. This ML approach has the potential to reduce unexpected resuscitation events if successfully implemented in the ED information system.

Updated trends in the outcomes of out-of-hospital cardiac arrest from 2017-2021: Prior to and during the coronavirus disease (COVID-19) pandemic.

Objective: This study aims to describe out-of-hospital cardiac arrest (OHCA) characteristics and trends before and during the coronavirus disease-2019 (COVID-19) pandemic in Taiwan. Methods: We conducted a retrospective cohort study using a 5-year interrupted time series analysis. Eligible adults with non-traumatic OHCAs from January 2017 to December 2021 in 3 hospitals (university medical center, urban second-tier hospital, and rural second-tier hospital) were retrospectively enrolled. Variables were extracted from the emergency medical service reports and medical records. The years 2020 and 2021 were defined as the COVID-19 pandemic period. Outcomes included survival to admission after a sustained return of spontaneous circulation, survival to hospital discharge, and good neurological outcomes (cerebral performance category score 1 or 2). Results: We analyzed 2819 OHCA, including 1227 from a university medical center, 617 from an urban second-tier hospital, and 975 from a rural second-tier hospital. The mean age was 71 years old, and 60% of patients were males. During the COVID-19 pandemic period, video-assisted endotracheal tube intubation replaced the traditional direct laryngoscopy intubation. The trends of outcomes in the pre-pandemic and pandemic periods varied among different hospitals. Compared with the pre-pandemic period, the outcomes at the university medical center during the COVID-19 pandemic were significantly poorer in several respects. The survival rate on admission dropped from 44.6% to 39.4% (P = 0.037), and the survival rate to hospital discharge fell from 17.5% to 14.9% (P = 0.042). Additionally, there was a notable decrease in patients' good neurological outcomes, declining from 13.2% to 9.7% (P = 0.048). In contrast, the outcomes in urban and rural second-tier hospitals during the COVID-19 pandemic did not significantly differ from those in the pre-pandemic period. Conclusions: COVID-19 may alter some resuscitation management in OHCAs. There were no overall significant differences in outcomes before and during COVID-19 pandemic, but there were significant differences in outcomes when stratified by hospital types.

Survival factors in patients of high fall - A 10-year level-I multi-trauma center study.

OBJECTIVES: This study aims to investigate the characteristics of patients after free falls at the Level-I trauma centers. The factors associated with survival were differentiated. METHODS: This retrospective study was conducted at the National Taiwan University Hospital, the Hsin-Chu branch, and the Yun-Lin branch, all accredited as Level-I trauma centers between January 2010 and September 2020. Adult patients with falls from height of more than one story (i.e. 3.6 m) were included. Clinical data were obtained from electronic medical records. Odds ratios (OR) were computed with 95% confidence intervals (CIs) for significant parameters for survival. RESULTS: A total of 371 patients were included. Only 2 survived to discharge with poor neurologic outcomes in 101 patients with OHCA. The overall mortality rate was 98% and 11% in patients with and without OHCA. A higher falling height with a one-meter increase (OR, 1.14, 95% CI, 1.10-1.19) was significantly related to OHCA, especially the height over 6 m (OR, 3.07, 95% CI, 1.19-7.94). A higher trauma injury severity score (TRISS) was significantly related to survival among patients without OHCA (OR, 1.07, 95% CI, 1.04-1.11), especially TRISS≧0.945 (OR, 5.21, 95% CI, 1.28-21.24). Patients without severe head/neck injury of Abbreviated Injury Scale (AIS)≧3 (OR, 0.17, 95% CI, 0.07-0.42) were positively associated with survivors among patients without OHCA. CONCLUSION: Patients with traumatic OHCA following falls had a high mortality rate of 98% and dismal outcomes, compared with non-traumatic OHCA. Falling heights, especially over 6 m was associated with OHCA. Patients without OHCA had a mortality rate of 11%. Patients with a higher TRISS, especially more than 0.945, or without severe head injury had more chances to survive in the non-OHCA group. The study provided the evidence to guide termination of high futility resuscitation for traumatic OHCA secondary to falls to conserve the clinical resources.