抗生素在哮喘当中的应用一直备受争议。近年的研究主要集中于大环内酯类抗生素(Macrolides)的非抗菌效应，已有研究发现l4元环和l5元环的大环内酯类抗生素具有类激素样抗炎活性[1]。作为新一代大环内酯类衍生物的泰利霉素(Telithromycin)由于其独特的抗细菌耐药性，一问世便受到广泛关注，而近期公布的TELICAST试验(The Telithromycin，Chlamydophila，and Asthma Trial)中关于其在哮喘急性加重疗效方面的结果更是令人振奋。该试验发现，对已确诊的哮喘急性加重期患者，在指南推荐的常规治疗基础上加用为期10 d的泰利霉素口服(800 mg／d)，可使哮喘症状评分明显下降，肺功能指标改善，但其发挥疗效的机制尚不十分清楚[2]。
Acute alcohol intoxication is one of the most common poisoning diseases in emergency departments. The main clinical manifestations are nervous system symptoms, with various comorbidities, hidden complications, and high risk of adverse events, and it often takes up more medical resources in emergency departments. This article summarizes the necessity, basis, and existing methods of clinical risk assessment for acute alcohol intoxication, in order to provide a reference for early identification of high-risk patients and optimization of management in emergency departments.
Hospital incident command system is a series of management systems for emergencies response of hospitals from the United States. Some hospitals in many countries have applied this system, but it has not yet been applied in China. In the process of responding to the coronavirus disease 2019 epidemic, West China Hospital of Sichuan University managed coronavirus disease 2019 patients through a standardized and programmatic model using the concept and framework of hospital incident command system, which included organizing hospital incident management team, carrying out incident action plan, space management, personnel management, material management and information management, in order to carry out standardized and procedural crisis response. This article introduces these management measures of West China Hospital of Sichuan University, aiming to provide a reference for establishing a more complete hospital emergency management system in line with China’s system in the future.
Objective To build a score with the coagulation, inflammation indexes of sepsis patients, named Sepsis-Related Coagulo-Inflammatory Score (SRCIS), and then evaluate the prognostic capability of it in predicting the 28-day mortality of septic patients after the diagnosis. Methods In this prospective nested case-control study, we recruited septic patients according to the Sepsis 3.0 standards, who visited the Emergency Department, West China Hospital of Sichuan University from September 2017 to January 2018. Multiple factor analysis was conducted to confirm which coagulation or inflammation biomarkers were independent risk factors related to the 28-day mortality after their diagnosis. After that, the SRCIS was built based on those independent risk factors. Finally, receiver operating characteristic curve (ROC) analysis was conducted to verify its prognostic capability for the 28-day mortality of septic patients. Results A total of 123 cases were included. Among them, 17 patients died within 28 days, and the mortality rate was 13.8%. There were no significant differences in the demographic characteristics or comorbidities between the survival group and dead group (P>0.05). Multivariate logistic analysis showed that both activated partial thromboplastin time (APTT) [odds ratio (OR)=1.015, 95% confidence interval (CI) (1.017, 1.189), P=0.017] and C-reactive protein (CRP) [OR=1.100, 95%CI (1.006, 1.025), P=0.002] were independent risk factors for predicting the 28-day mortality of septic patients. ROC analysis indicated that the cut-off values of APTT and CRP predicting the 28-day mortality rate of sepsis were 39.25 seconds and 198.05 mg/L, respectively, and the areas under the curve (AUC) of them were 0.618 and 0.671, respectively. The results indicated that the mortality increased from 8.79% to 28.13%, when APTT prolonged to no less than 39.25 seconds (P<0.05). The mortality also increased from 8.89% to 27.27% when CRP elevated to no less than 198.05 mg/L (P<0.05). The AUC of SRCIS in predicting the 28-day mortality of patients with sepsis was 0.707, which was better than that of Sequential Organ Failure Assessment (SOFA) (AUC=0.681) and quick Sequential Organ Failure Assessment (qSOFA) (AUC=0.695). The corresponding 28-day mortality rates for patients with sepsis were 6.94%, 16.22%, and 42.86% (P<0.05), respectively, when the SRCIS score were 0, 1, and 2. Conclusions APTT and CRP are independent risk factors in predicting the 28-day mortality of patients with sepsis. Compared with traditional scoring systems such as SOFA and qSOFA, SRCIS performances better in predicting the 28-day mortality for patients with sepsis.
Objective To analyze the characteristics of patients transferred by ambulances to emergency department before and after coronavirus disease 2019 epidemic, in order to improve the efficiency of emergency triage, optimize the utilization of emergency resources, and provide a reference for standardized tiered medical services in different situation. Methods The patients’ information collected through Wenjuanxing questionnaire was extracted, who were transferred by ambulances to the Emergency Department of West China Hospital of Sichuan University between December 27th, 2018 and April 28th, 2019 (before epidemic), or between December 27th, 2019 and April 28th, 2020 (during epidemic), or between December 27th, 2020 and April 28th, 2021 [in regular epidemic prevention and control period (REPCP)]. The general information, sources, reasons for referral, disease spectrum and triage levels of patients in the three periods were compared. Results There were 3993, 2252 and 1851 cases before epidemic, during epidemic, and in REPCP, respectively. The differences in gender and age among the three periods were not statistically significant (P>0.05). The percentage of referrals from tertiary hospitals in each period was 74.00%, 72.65%, and 76.12%, respectively, which was higher in REPCP than that during epidemic (P<0.05). The percentage of direct referrals from emergency department in each period was 41.00%, 42.14%, and 44.46%, respectively, which was higher in REPCP than that before epidemic (P<0.05). The percentage of two-way referrals in each period was 37.79%, 36.63%, and 34.36%, respectively, which was lower in REPCP than that before epidemic (P<0.05). During epidemic and in REPCP, the proportions of referrals due to “need for surgery” (24.72%, 27.84%, and 28.74%, respectively) and “request by family members” (49.64%, 53.33%, and 56.24%, respectively) increased compared with those before epidemic (P<0.05), while the proportion of referrals due to “critical illness” decreased compared with that before epidemic (40.20%, 35.21%, and 33.17%, respectively; P<0.05); the proportion of referrals due to “diagnosis unknown” decreased in REPCP compared with that before epidemic (15.50%, 13.90%, and 11.89%, respectively; P<0.05). The proportion of acute aortic syndromes in REPCP increased compared with that during epidemic (3.46%, 2.98%, and 4.65%, respectively; P<0.05), the proportion of trauma in REPCP increased compared with that before epidemic (13.72%, 15.76%, and 17.77%, respectively; P<0.05), and the proportion of pneumonia/acute exacerbation of chronic obstructive pulmonary disease during epidemic and in REPCP decreased compared with that before epidemic (8.44%, 3.73%, and 3.84%, respectively; P<0.05). The proportion of critically ill patients referred in each period was 72.88%, 75.58%, and 79.15%, respectively, which was the highest in REPCP (P<0.05). Conclusions The epidemic has a significant impact on emergency ambulance referrals, and emergency triage needs to be continuously optimised and improved in staff, facilities, processes and management. It is necessary to further improve the implementation of hierarchical diagnosis and treatment, strengthen information communication between referral and emergency departments of receiving hospitals, and improve referral efficiency.
ObjectiveTo explore the predictive value of a simplified signs scoring system for the severity and prognosis of patients with coronavirus disease 2019 (COVID-19). Methods Clinical data of 1 605 confirmed patients with COVID-19 from January to May 2020 in 45 hospitals of Sichuan and Hubei Provinces were retrospectively analyzed. The patients were divided into a mild group (n=1150, 508 males, average age of 51.32±16.26 years) and a severe group (n=455, 248 males, average age of 57.63±16.16 years). ResultsAge, male proportion, respiratory rate, systolic blood pressure and mean arterial pressure in the severe group were higher than those in the mild group (P<0.05). Peripheral oxygen saturation (SpO2) and Glasgow coma scale (GCS) were lower than those in the mild group (P<0.05). Multivariate logistic regression analysis showed that age, respiratory rate, SpO2, and GCS were independent risk factors for severe patients with COVID-19. Based on the above indicators, the receiver operating characteristic (ROC) curve analysis showed that the area under the curve of the simplified signs scoring system for predicting severe patients was 0.822, which was higher than that of the quick sequential organ failure assessment (qSOFA) score and modified early warning score (MEWS, 0.629 and 0.631, P<0.001). The ROC analysis showed that the area under the curve of the simplified signs scoring system for predicting death was 0.796, higher than that of qSOFA score and MEWS score (0.710 and 0.706, P<0.001). ConclusionAge, respiratory rate, SpO2 and GCS are independent risk factors for severe patients with COVID-19. The simplified signs scoring system based on these four indicators may be used to predict patient's risk of severe illness or early death.
With the change of COVID-19, the prevention and control of COVID-19 infection epidemic entered a new stage in December 2022. How to quickly complete the emergency treatment of a large number of patients in a short period of time, and ensure that patients in emergency department can get rapid and effective medical treatment has always been an urgent problem that emergency department need to solve. The Department of Emergency Medicine of West China Hospital of Sichuan University has adopted patient-oriented management measures based on the core idea of the new public management theory, and has achieved remarkable results. Therefore, this article summarizes the workflow and nursing management strategies of the emergency department rescue area of West China Hospital of Sichuan University in dealing with the batch treatment of COVID-19 infected patients, including optimizing and correcting the environment layout of the ward, implementing the “secondary triage” mode in the rescue area, adding an inter-hospital referral platform for critical patients with COVID-19 emergency, building a conventional COVID-19 reserve material repository in the emergency department, setting up a field office for multi-department joint emergency admission service, optimizing emergency transport services for patients with COVID-19, scientific scheduling and reasonable human resource management, and providing humanistic care for employees, in order to provide reference for the management practice of the emergency department.
Objective To investigate the transferring methods of earthquake casualties accepted by the Department of Emergency, discuss the requirement for rescue materials in pre-hospital transference and provide information for transferring casualties after disasters in future. Methods Traumatic types and conditions of the wounded admitted by the Department of Emergency of West China Hospital within 3 weeks after Wenchuan earthquake,were collected. The characteristics of the wounded transferred by ambulances and helicopters were analyzed. Results Of the 2 338 wounded, ambulances transferred the most accounting for 60.56%, helicopter transferred 13.47%, and the other transport modes took up 25.96%. As for the macrotraumas, ambulances transferred more than helicopter and other transport mode did (Plt;0.05), while there was no statistical significance between helicopters and other transport modes(Pgt;0.05). Conclusion After the disaster, a field first-aid command system should be immediately established, casualties should be triaged concisely, an appropriate transference mode should be decided according to the degree of injuries and sufficient rescue materials should be provided based on different transference modes.
Objective To explore the utilization of emergency materials for mass disaster. Methods We retrospectively analyzed the 2 338 casualties from Wenchuan earthquake who visited our emergency department from 2:28 PM, May 12 to 2:28 PM, June 2. The injury condition and demand on emergency materials at different phase were also analyzed.Results mong the 2 338 casualties, the most common injuries were fracture, skin or soft tissue injury, and brain injury. Primary drugs are tetanus immune globulin, normal sodium and antibiotics. The injury condition and demand on medical resource were different at different phase. The demand on emergency materials depended on the category and severity of injury. Conclusion It is necessary to make a good medical resource planning for mass disaster. The catogory of injury and demand on emergency materials are different at different phase.
ObjectiveTo investigate the epidemiological situation of pre-hospital emergency elderly and non-elderly patients in Chengdu and explore the characteristics of pre-hospital care in the city.MethodAll pre-hospital care records in the Chengdu 120 Emergency System Database in 2017 were retrospectively collected. According to the age of the patients, they were divided into the elderly group (≥60 years old) and the non-elderly group (<60 years old). The disease spectrum, the trends of the number of emergency help calls, the changes in different diseases over time, as well as the disease composition of the patients who died in the two groups were compared.ResultsA total of 179 387 pre-hospital emergency patients were enrolled, including 59 980 elderly patients and 119 407 non-elderly patients. Most of them were male patients in both groups. Patients in the elderly group were mainly between 60 to 89 years old, and the ones in the non-elderly group were mainly between 18 to 59 years old. The pre-hospital emergency patients in the elderly group presented with trauma, nervous system, symptoms and signs, and cardiovascular system diseases mainly, accounting for 29.19%, 14.64%, 13.82%, and 12.86%, respectively. In the non-elderly group, trauma, acute poisoning, and symptoms and signs were predominant, accounting for 50.89%, 10.98%, and 10.08%, respectively. Among the pre-hospital deaths, the number in the elderly group was the larger, accounting for 69.61% (7 043 cases); the mortality rate was 11.74%, with sudden death (28.70%), cardiovascular diseases (25.95%), and respiratory diseases (16.07%) being the major causes. The pre-hospital mortality rate of non-elderly patients was 2.58%, mainly including traumatic diseases (35.41%), sudden death (unknown cause of death) (25.33%), and cardiovascular diseases (17.56%). The number of emergency help calls in the elderly group began to increase gradually from September, reaching a peak in December and hitting the trough in February. While in the non-elderly group, the peak of the emergency help calls appeared in July, and it also fell to the lowest in February. The proportion of the number of emergency help calls in the elderly group was higher in January to February and October to December; while the peak in non-elderly group was in July. The number of emergency help calls in the elderly group were mainly concentrated in the daytime (08:00 to 20:00). In the non-elderly group, the changes in the number of emergency help calls were similar to that of the elderly, however, with another peak (20:00 to 24:00). The proportion of the number of emergency help calls in the elderly group was 06:00 to 09:59, and the peak time of the non-elderly group was in the early morning (00:00 to 04:59) and night (20:00 to 23:59).ConclusionsThe number of pre-hospital care for elderly and non-elderly patients has its own characteristics in terms of the time and the distribution of disease spectrum. Trauma and cardiovascular diseases are the most common causes of pre-hospital care and death in Chengdu. And the pre-hospital mortality in the elderly group is much larger than that in non-elderly group. Relevant departments can allocate emergency resources rationally, and focus on improving the on-site rescue capacity towards related diseases.