BACKGROUND: Traditionally performed using a subxiphoid approach, the increasing use of point-of-care ultrasound in the emergency department has made other approaches (parasternal and apical) for pericardiocentesis viable. The aim of this study is to identify the ideal approach for emergency-physician-performed ultrasound-guided pericardiocentesis as determined by ultrasound image quality, distance from surface to pericardial fluid, and likely obstructions or complications. METHODS: A retrospective review of point-of-care cardiac ultrasound examinations was performed in two urban academic emergency departments for the presence of pericardial effusions. The images were reviewed for technical quality, distance of effusion from skin surface, and predicted complications. RESULTS: A total of 166 pericardial effusions were identified during the study period. The mean skin-to-pericardial fluid distance was 5.6 cm (95% confidence interval [95% CI] 5.2-6.0 cm) for the subxiphoid views, which was significantly greater than that for the parasternal (2.7 cm [95% CI 2.5-2.8 cm], P<0.001) and apical (2.5 cm [95% CI 2.3-2.7 cm], P<0.001) views. The subxiphoid view had the highest predicted complication rate at 79.7% (95% CI 71.5%-86.4%), which was significantly greater than the apical (31.9%; 95% CI 21.4%-44.0%, P<0.001) and parasternal (20.2%; 95% CI 12.8%-29.5%, P<0.001) views. CONCLUSIONS: Our results suggest that complication rates with pericardiocentesis will be lower via the parasternal or apical approach compared to the subxiphoid approach. The distance from skin to fluid collection is the least in both of these views.

BACKGROUND: We investigated whether the use of a specially designed visual estimation tool may improve accuracy in quantifying blood volumes related to surface spreading. METHODS: A prospective, paired-control, single-blinded experimental study was performed at a medical university. Anesthesiologists and emergency medical personnel estimated various blood volumes on surfaces with varying absorptivity (carpet, towel, polyvinyl chloride, wooden flooring) in an experimental setting. We assessed the sensitivity of training blood volume quantification using a self-designed visual estimation tool by comparing the accuracy of visual blood volume estimations before and after practical training with the tool. RESULTS: A total of 352 estimations by 44 participants were evaluated. Accurate estimations improved significantly from pre-training to post-training (P<0.05). The sensitivity of blood volume quantification was 33.0% after training with the visual estimation tool. Estimations did not depend on age, profession, gender or years of the estimator’s professional experience. CONCLUSIONS: Training with a visual estimation tool by professional rescuers can improve the estimation accuracy of blood volumes spread on surfaces with varying absorptivity.

BACKGROUND: Neuroendocrine dysfunction after traumatic brain injury (TBI) has received increased attention due to its impact on the recovery of neural function. The purpose of this study is to investigate the incidence and risk factors of adrenocortical insufficiency (AI) after TBI to reveal independent predictors and build a prediction model of AI after TBI. METHODS: Enrolled patients were grouped into the AI and non-AI groups. Fourteen preset impact factors were recorded. Patients were regrouped according to each impact factor as a categorical variable. Univariate and multiple logistic regression analyses were performed to screen the related independent risk factors of AI after TBI and develop the predictive model. RESULTS: A total of 108 patients were recruited, of whom 34 (31.5%) patients had AI. Nine factors (age, Glasgow Coma Scale [GCS] score on admission, mean arterial pressure [MAP], urinary volume, serum sodium level, cerebral hernia, frontal lobe contusion, diffuse axonal injury [DAI], and skull base fracture) were probably related to AI after TBI. Three factors (urinary volume [X4], serum sodium level [X5], and DAI [X8]) were independent variables, based on which a prediction model was developed (logit P= -3.552+2.583X4+2.235X5+2.269X8). CONCLUSIONS: The incidence of AI after TBI is high. Factors such as age, GCS score, MAP, urinary volume, serum sodium level, cerebral hernia, frontal lobe contusion, DAI, and skull base fracture are probably related to AI after TBI. Urinary volume, serum sodium level, and DAI are the independent predictors of AI after TBI.

BACKGROUND: The dynamic monitoring of immune status is crucial to the precise and individualized treatment of sepsis. In this study, we aim to introduce a model to describe and monitor the immune status of sepsis and to explore its prognostic value. METHODS: A prospective observational study was carried out in Zhongshan Hospital, Fudan University, enrolling septic patients admitted between July 2016 and December 2018. Blood samples were collected at days 1 and 3. Serum cytokine levels (e.g., tumor necrosis factor-α [TNF-α], interleukin-10 [IL-10]) and CD14+ monocyte human leukocyte antigen-D-related (HLA-DR) expression were measured to serve as immune markers. Classification of each immune status, namely systemic inflammatory response syndrome (SIRS), compensatory anti-inflammatory response syndrome (CARS), and mixed antagonistic response syndrome (MARS), was defined based on levels of immune markers. Changes of immune status were classified into four groups which were stabilization (SB), deterioration (DT), remission (RM), and non-remission (NR). RESULTS: A total of 174 septic patients were enrolled including 50 non-survivors. Multivariate analysis discovered that IL-10 and HLA-DR expression levels at day 3 were independent prognostic factors. Patients with MARS had the highest mortality rate. Immune status of 46.1% patients changed from day 1 to day 3. Among four groups of immune status changes, DT had the highest mortality rate, followed by NR, RM, and SB with mortality rates of 64.7%, 42.9%, and 11.2%, respectively. CONCLUSIONS: Severe immune disorder defined as MARS or deterioration of immune status defined as DT lead to the worst outcomes. The preliminary model of the classification and dynamic monitoring of immune status based on immune markers has prognostic values and is worthy of further investigation.

BACKGROUND: The predictive scoring systems for early stent thrombosis (EST) remains blank in China. The study aims to evaluate the risk factors and conduct a prediction model of EST in the Chinese population. METHODS: EST was defined as thrombosis that occurs within the first 30 days after primary percutaneous coronary intervention (PCI). Patients from ten Chinese hospitals diagnosed as stent thrombosis (ST) from January 2010 to December 2016 were retrospectively included as the study group. A control group (1 case:2 controls) was created by including patients without ST, major adverse cardiovascular events, or cerebrovascular events during follow-up. The present study evaluated 426 patients with single-vessel lesions and ultimately included 40 patients with EST and 80 control patients, who were included to identify factors that predicted EST and to develop a prediction scoring system. The other 171 patients without integrated 1:2 pair were used for external validation. RESULTS: EST was independently associated with a low hemoglobin concentration (adjusted odds ratio [OR] 0.946, 95% confidence interval [95% CI] 0.901-0.993, P=0.026), a high pre-PCI Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) score (OR 1.166, 95% CI 1.049-1.297, P=0.004), and a DAPT (DAPT) duration of <30 days (OR 28.033, 95% CI 5.302-272.834, P<0.001). The simple EST prediction score provided an area under the curve (AUC) of 0.854 (95% CI 0.777-0.932, P<0.001) with 70.0% sensitivity and 90.0% specificity, and 0.742 (95% CI 0.649-0.835, P<0.001) with 54.5% sensitivity and 81.0% specificity for external validation dataset. CONCLUSIONS: EST may be independently associated with DAPT discontinuation within 30 days, a low hemoglobin concentration, and a high SYNTAX score. The scoring system also has a good ability to predict the risk of EST and may be useful in the clinical setting.

BACKGROUND: There are conflicting results regarding whether corticosteroids have better efficacy than placebo in acute respiratory distress syndrome (ARDS) patients. Therefore, we aim to further evaluate the efficacy and safety of corticosteroids in adult ARDS patients. METHODS: The databases, including Medline, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, were searched from their inception to May 2, 2020. Randomized controlled trials (RCTs) and observational cohort studies were selected to assess the use of corticosteroids in adult ARDS patients. The quality of the results was judged by the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology. The inverse-variance method with random or fixed effects modeling was used to compute pooled odds ratio (OR), standardized mean difference (SMD), and their 95% confidence interval (CI). RESULTS: Eight eligible RCTs and six cohort studies were included. The use of corticosteroids was associated with reduced mortality (OR 0.57, 95% CI 0.43-0.76, I2=35.1%, P=0.148) in ARDS patients, and the result was confirmed in the included cohort studies (OR 0.51, 95% CI 0.27-0.95, I2=66.7%, P=0.010). The subgroup analysis stratified by the initiation time and duration of corticosteroid use showed that early ARDS and prolonged corticosteroid use had significant survival benefits in the RCTs. The low-dose corticosteroid use was also associated with significantly more ventilator-free days and a reduced rate of new infections in ARDS patients. CONCLUSIONS: The low-dose corticosteroid therapy may be safe and reduce mortality, especially in patients with prolonged treatment and early ARDS.

Family physicians often serve as the primary resource for parents seeking medical treatment for their children, and it is not uncommon for children with medical emergencies to be brought into primary care offices instead of local emergency departments (EDs). Although estimated incidence rates of pediatric emergencies in primary care offices vary based on the definition used, the number of patients seen, and clinic location,[1,2,3] any healthcare provider who sees pediatric patients should be ready for immediate medical intervention to minimize adverse outcomes.

Paraquat (PQ) can cause acute lung injury and irreversible pulmonary fibrosis, without specific antidotes. Respiratory failure is the main cause of death among patients with PQ poisoning. Currently, the treatment involves the use of adsorbents, intensive hemoperfusion, antioxidants, immunosuppressive therapy, respiratory support by mechanical ventilation, and other symptomatic and supportive treatments.

BACKGROUND: Emergency medical service system (EMSS) is essential in providing acute care services for health conditions. However, trends of emergency and acute care in China haven’t been studied systematically. METHODS: Relevant literature was carefully reviewed, including original and review articles, letters, government reports, yearbooks, both in Chinese and in English. Data on the number of emergency visits, physicians and beds in emergency departments (EDs), and the workforce of pre-hospital emergency care were summarized and analyzed from China Health and Family Planning Statistical Yearbooks (2006-2018). RESULTS: Over the past decade, the number of ED visits tripled from 51.9 million to 166.5 million; and utilization of pre-hospital emergency care increased from 3.2 million to 6.8 million. In response to rapid increases in demand, the number of licensed emergency physicians raised from 20,058 to 59,409; the beds’ number increased from 10,783 to 42,367. For pre-hospital emergency care, the volume of health workforce increased from 3,687 to 8,671, with a 109% increase in the number of physicians from 1,774 to 3,712. However, overcrowding, the long length of stay in EDs, poor work environment, and work exhaustion were still the critical challenges faced by China’s EMSS. CONCLUSIONS: The number of emergency visits has grown with continual capability enhancement during the past decade. However, overcrowding, the long length of stay in EDs, poor work environment, and work exhaustion still need to be solved by China’s EMSS. These findings and comparison with the USA could offer experiences and lessons to EMSS development worldwide, especially for developing countries.

BACKGROUND: A pandemic of coronavirus disease (COVID-19) has been declared by the World Health Organization (WHO) and caring for critically ill patients is expected to be at the core of battling this disease. However, little is known regarding an early detection of patients at high risk of fatality. METHODS: This retrospective cohort study recruited consecutive adult patients admitted between February 8 and February 29, 2020, to the three intensive care units (ICUs) in a designated hospital for treating COVID-19 in Wuhan. The detailed clinical information and laboratory results for each patient were obtained. The primary outcome was in-hospital mortality. Potential predictors were analyzed for possible association with outcomes, and the predictive performance of indicators was assessed from the receiver operating characteristic (ROC) curve. RESULTS: A total of 121 critically ill patients were included in the study, and 28.9% (35/121) of them died in the hospital. The non-survivors were older and more likely to develop acute organ dysfunction, and had higher Sequential Organ Failure Assessment (SOFA) and quick SOFA (qSOFA) scores. Among the laboratory variables on admission, we identified 12 useful biomarkers for the prediction of in-hospital mortality, as suggested by area under the curve (AUC) above 0.80. The AUCs for three markers neutrophil-to-lymphocyte ratio (NLR), thyroid hormones free triiodothyronine (FT3), and ferritin were 0.857, 0.863, and 0.827, respectively. The combination of two easily accessed variables NLR and ferritin had comparable AUC with SOFA score for the prediction of in-hospital mortality (0.901 vs. 0.955, P=0.085). CONCLUSIONS: Acute organ dysfunction combined with older age is associated with fatal outcomes in COVID-19 patients. Circulating biomarkers could be used as powerful predictors for the in-hospital mortality.