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.

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.

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.

Utility of carotid ultrasound on prediction of 1-year mortality in emergency department patients with neurological deficits: A 10-year population-based cohort study.

BACKGROUND: This study aimed to investigate the association between the carotid ultrasound results and 1-yr mortality of patients with neurological deficits in the emergency department (ED). METHODS: This study included patients with neurological symptoms who presented to the ED between January 1, 2009 and December 31, 2018, and underwent sonographic imaging of the bilateral carotid bulb, common carotid artery (CCA), internal carotid artery (ICA), and external carotid arteries. A stenosis degree of >50% was defined as significant carotid stenosis. Carotid plaque score (CPS) was calculated by adding the score of stenosis severity of all segments. The association between carotid ultrasound results and 1-yr mortality was investigated using the Cox regression model. RESULTS: The analysis included 7,961 patients (median age: 69 yr; men: 58.7%). Among them, 247 (3.1%) passed away from cardiovascular (CV)-related causes, and 746 (9.4%) died within a year. The mortality group presented with more significant carotid stenosis of the carotid bulb, CCA, or ICA and had a higher median CPS. A higher CPS was associated with a greater 1-yr all-cause mortality (adjusted hazard ratio [aHR] = 1.08; 95% confidence interval [CI] = 1.03-1.13; p = 0.001; log-rank p < 0.001) and CV-related mortality (aHR = 1.13; 95% CI = 1.04-1.22; p = 0.002, log-rank p < 0.001). Significant stenosis of either carotid artery segment did not result in a higher risk of 1-yr mortality. CONCLUSIONS: We comprehensively investigated the utility of carotid ultrasound parameters on predicting mortality in this 10-yr population-based cohort, which included over 7,000 patients with acute neurological deficits presented to the ED. The result showed that CPS could be used as risk stratification tools for 1-yr all-cause and CV mortality.

Intravenous antibiotics at the index emergency department visit as an independent risk factor for hospital admission at the return visit within 72 hours.

INTRODUCTION: Although infection was the most common symptom in patients returning to the ED, whether intravenous antibiotic administration at the index visit could serve as an indicator of patients with infectious diseases at high risk for hospital admission after returning to the ED within a short period of time remains unclear. The study aimed to investigate the potential risk factors for hospital admission in patients returning to the ED within 72 hours with a final diagnosis of infectious diseases. MATERIAL AND METHODS: This retrospective cohort study analyzed return visits to the ED from January to December 2019. Adult patients aged >20 years who had a return visit to the ED within 72 hours with an infectious disease were included herein. In total, 715 eligible patients were classified into the intravenous antibiotics and non-intravenous antibiotics group (reference group). The outcome studied was hospital admission to general ward and intensive care unit (ICU) at the return visits. RESULTS: Patients receiving intravenous antibiotics at index visits had significantly higher risk-approximately two times-for hospital admission at the return visits than those did not (adjusted odds ratio = 2.47, 95% CI = 1.34-4.57, p = 0.004). For every 10 years increase in age, the likelihood for hospital admission increased by 38%. Other factors included abnormal respiratory rate and high C-reactive protein levels. CONCLUSIONS: Intravenous antibiotic administration at the index visit was an independent risk factor for hospital admission at return visits in patients with an infection disease. Physicians should consider carefully before discharging patients receiving intravenous antibiotics.

Mental health crisis in healthcare providers in the COVID-19 pandemic: a cross-sectional facility-based survey.

OBJECTIVES: During a pandemic, healthcare providers experience increased mental and physical burden. Burnout can lead to treatment errors, patient mortality, increased suicidal ideation and substance abuse as well as medical malpractice suits among medical staff. This study aimed to investigate the occurrence of burnout, acute stress disorder, anxiety disorder and depressive disorder among healthcare providers at the third month of the COVID-19 pandemic. DESIGN: A cross-sectional facility-based survey. SETTING: Hospitals around the country with different levels of care. PARTICIPANTS: A total of 1795 respondents, including 360 men and 1435 women who participated in the survey. PRIMARY OUTCOME MEASURES: Burnout was assessed using the Physician Work Life Study. A score of ≥3 implied burnout. RESULTS: Of the 1795 respondents, 723 (40.3%) reported burnout, and 669 (37.3%) cared for patients with COVID-19. Anxiety levels were mild in 185 (10.3%) respondents, moderate in 209 (11.6%) and severe in 1401 (78.1%). The mean Center for Epidemiologic Studies Depression Scale-10 score was 9.5±6.3, and 817 (45.5%) respondents were classified as having depression. Factors associated with burnout were working in acute and critical care (ACC) divisions (adjusted OR (aOR)=1.84, 95% CI 1.20 to 3.39, p=0.019), caring for patients with COVID-19 (aOR=3.90, 95% CI 1.14 to 13.37, p=0.031) and having depressive disorder (aOR=9.44, 95% CI 7.44 to 11.97, p<0.001). CONCLUSIONS: Physicians and nurses are vulnerable to burnout during a pandemic, especially those working in ACC divisions. Anxiety disorder, depressive disorder and care of patients with COVID-19 may be factors that influence the occurrence of burnout among healthcare providers.

Obese cardiogenic arrest survivors with significant coronary artery disease had worse in-hospital mortality and neurological outcomes.

Cardiogenic arrest is the major cause of sudden cardiac arrest (SCA), accounting for 20% of all deaths annually. The association between obesity and outcomes in cardiac arrest survivors is debatable. However, the effect of obesity on the prognosis of patients with significant coronary artery disease (CAD) successfully resuscitated from cardiogenic arrest is unclear. Thus, the association between body mass index (BMI) and outcomes in cardiogenic arrest survivors with significant CAD was investigated. This multicentre retrospective cohort study recruited 201 patients from January 2011 to September 2017. The eligible cardiogenic arrest survivors were non-traumatic adults who had undergone emergency coronary angiography after sustained return of spontaneous circulation and had significant coronary artery stenosis. BMI was used to classify the patients into underweight, normal-weight, overweight, and obese groups (< 18.5, 18.5-24.9, 25.0-29.9, and ≥ 30 kg/m2; n = 9, 87, 72, and 33, respectively). In-hospital mortality and unsatisfactory neurological outcomes (cerebral performance scale scores = 3-5) were compared among the groups. The obese group presented higher in-hospital mortality and unsatisfactory neurological outcome risks than the normal-weight group (in-hospital mortality: adjusted hazard ratio = 4.27, 95% confidence interval (CI) 1.87-12.04, P = 0.008; unsatisfactory neurological outcomes: adjusted odds ratio = 3.33, 95% CI 1.42-8.78, P = 0.009). Subgroup analysis showed significantly higher in-hospital mortality in the obese patients than in the others in each clinical characteristic. In cardiogenic arrest survivors with significant CAD, obesity was associated with high risks of mortality and unsatisfactory neurological recovery.

Obesity is associated with poor prognosis in cardiogenic arrest survivors receiving coronary angiography.

BACKGROUND: The role of body mass index (BMI) in clinical outcomes in patients resuscitated from cardiac arrest (CA) has recently drawn attention. We evaluated the effect of BMI on the prognosis of patients successfully resuscitated from cardiogenic arrest. METHODS: This retrospective cohort study included 273 non-traumatic adult cardiogenic arrest survivors receiving coronary angiography after return of spontaneous circulation in three hospitals from January 2011 to September 2017. These patients were classified as underweight, normal-weight, overweight, and obese, based on BMI (<18.5; 18.5-24.9; 25.0-29.9; and ≥30 kg/m2, respectively). In-hospital mortality and poor neurological outcomes were compared among groups. RESULTS: The obese group had significantly higher rates of in-hospital mortality and poor neurological outcomes (cerebral performance scale = 3-5) than did the other groups (for underweight, normal-weight, overweight, and obese groups, in-hospital mortality rates were 38.5%, 29.8%, 39.0%, and 64.1%, respectively, p = 0.002; poor neurological outcomes were 53.9%, 43.8%, 47.0%, and 71.8%, respectively, p = 0.02). The obese group exhibited higher risks of in-hospital mortality and poor neurological outcomes than did the normal-weight group (in-hospital mortality: adjusted hazard ratio (aHR) = 5.21, 95% confidence interval (CI) 2.16-10.32, p < 0.001; poor neurological outcomes: aHR = 3.77, 95% CI 1.69-8.36, p = 0.002). CONCLUSION: Obesity was associated with higher risks of in-hospital mortality and poor neurological recovery.

Cardiac ultrasound helps for differentiating the causes of acute dyspnea with available B-type natriuretic peptide tests.

INTRODUCTION: The aim of this study was to evaluate the role of cardiac ultrasound in diagnosing acute heart failure (AHF) in patients with acute dyspnea with available plasma B-type natriuretic peptide (BNP) level. METHODS: Patients with acute dyspnea presenting to the emergency department (ED) of a tertiary medical center were prospectively enrolled. The enrolled 84 patients received both BNP tests and cardiac ultrasound studies and were classified into AHF and non-heart failure groups. RESULTS: Plasma BNP levels were higher in the AHF group (1236 ± 1123 vs 354 ± 410 pg/mL; P < .001). The AHF group had larger left ventricular end-diastolic dimension (LVEDD; 32 ± 7 vs 27 ± 4 mm/m(2); P < .001) and worse left ventricular ejection fraction (52% ± 18% vs 64% ± 15%; P = .003). Multiple logistic regression analysis showed that both BNP levels more than 100 pg/mL and LVEDD were independent predictors for AHF. In patients with plasma BNP levels within gray zone of 100 to 500 pg/mL, LVEDD was larger in the AHF group than that in the non-heart failure group (29 ± 4 vs 26 ± 4 mm/m(2); P = .044). CONCLUSION: Both LVEDD by cardiac ultrasound and BNP levels can help emergency physicians independently diagnose AHF in the ED. In patients with plasma BNP levels within 100 to 500 pg/mL, cardiac ultrasound can help differentiate heart failure or not.

Long QT syndrome and torsades de pointes induced by acute sulpiride poisoning.

Sulpiride, a selective dopamine D2 antagonist and a substituted benzamide derivative, is considered a safe antipsychotic and antidepressant agent with few adverse effects on the cardiovascular system. Sulpiride-induced torsades de pointes is rare. We report a case of long QT syndrome and torsades de pointes induced by ingestion of 1.5 g of sulpiride. Ventricular arrhythmia was initially treated with amiodarone, without success. Eventually, lidocaine and magnesium sulfate successfully terminated the ventricular arrhythmia. The patient was discharged uneventfully after 3 days of hospitalization. This case illustrates the fact that acute sulpiride poisoning may lead to life-threatening ventricular arrhythmia. Early recognition followed by effective therapy is crucial. Intensive cardiac monitoring is recommended for sulpiride poisoning.

The sandwich sign of non-lymphomatous origin.

PURPOSE: To investigate the etiologies of the sandwich sign other than lymphoma. METHOD: The images of 34 patients with sonographic sandwich sign over a 5-year period were retrospectively reviewed. The etiology was based on the pathologic report of mesenteric lymph nodes, or the presence of extensive metastatic disease in case of known advanced primary cancer or disappearance of the sign after specific treatments. RESULTS: Malignancy accounted for the majority of cases (91%), and was divided into non-Hodgkin's lymphoma (50%) and metastatic carcinomas (41%). Mycobacterium tuberculosis infection was diagnosed in a previously healthy patient, and 2 patients with acquired immunodeficiency syndrome had Mycobacterium avium-complex infection. The sandwich sign was 1 of the initial presentations in 11 cases with newly diagnosed malignancies, including 6 cases of non-Hodgkin's lymphoma and 5 cases of metastatic carcinomas. CONCLUSION: Metastatic carcinomas, M. avium-complex, and M. tuberculosis infection may produce the sandwich sign. Searching for etiologies other than lymphoma is important in patients presenting with the sandwich sign.