Sepsis is a critical condition. The key factor affecting the survival of patient is whether standard treatment can be obtained timely. Because of the complexity of its pathogenesis and high heterogeneity, there is no special diagnosis method currently. Early identification is difficult. Delayed diagnosis and treatment is closely related to the mortality of patients. With the continuous updating of the guidelines, sepsis has been included in the “time window” disease, putting forward a great challenge to the early screening and evaluation of sepsis. This article aims to review the application of Sepsis-Related Organ Failure Assessment, sepsis biomarkers and artificial intelligence algorithms in early screening and evaluation of sepsis, so as to provide guidance tools for timely starting standardized treatment of sepsis.
The American Heart Association (AHA) released the 2017 American Heart Association Focused Update on Adult Basic Life Support and Cardiopulmonary Resuscitation Quality (2017 AHA guidelines update) in November 2017. The 2017 AHA guidelines update was updated according to the rules named " the update of the guideline is no longer released every five years, but whenever new evidence is available” in the 2015 American Heart Association Guidelines Update for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. The updated content in this guideline included five parts: dispatch-assisted cardiopulmonary resuscitation (CPR), bystander CPR, emergency medical services - delivered CRP, CRP for cardiac arrest, and chest compression - to - ventilation ratio. This review will interpret the 2017 AHA guidelines update in detail.
The new quality productivity characterized by digitization and intelligence injects new force into the high-quality development of emergency medicine, bringing unprecedented opportunities and challenges. This article analyzes the problems existing in the development of emergency medicine and proposes to utilize the improvement of new quality productivity as a way to break through the gap for high-quality development of emergency medicine. Digital intelligence is an important means to promote the development of new quality productivity. This article reviews the impact of digital intelligence construction on health warning monitoring, diagnosis and treatment, workflow, resource allocation, providing a reference for the high-quality development of emergency medicine.
The body of patient undergoing cardiopulmonary resuscitation after cardiac arrest experiences a process of ischemia, hypoxia, and reperfusion injury. This state of intense stress response is accompanied with hemodynamic instability, systemic hypoperfusion, and subsequent multiple organ dysfunction, and is life-threatening. Pulmonary vascular endothelial injury after cardiopulmonary resuscitation is a pathological manifestation of lung injury in multiple organ injury. Possible mechanisms include inflammatory response, neutrophil infiltration, microcirculatory disorder, tissue oxygen uptake and utilization disorder, etc. Neutrophils can directly damage or indirectly damage lung vascular endothelial cells through activation and migration activities. They also activate the body to produce large amounts of oxygen free radicals and release a series of damaging cytokines that further impaire the lung tissue.
Amanitin-containing mushroom poisoning is one of the most harmful and lethal types of mushroom poisoning events. Its basic medical and clinical medical knowledge has not been fully understood and mastered, so the basic and clinical diagnosis and treatment of amanitin-containing mushroom poisoning has always been a hot research field of acute mushroom poisoning. This article focuses on the new progress in the epidemiology, toxicological properties, poisoning mechanism, clinical diagnosis and treatment of amanitin-containing mushroom poisoning, in order to provide the basis for further study, diagnosis and treatment of amanitin-containing mushroom poisoning for basic researchers and clinical medical staff.
With the in-depth understanding of the severe acute respiratory syndrome coronavirus 2, it has been found that the virus not only causes serious damage to the human respiratory system, but also damages the kidney system, which can be manifested as acute kidney injury, and in severe cases, renal failure can occur. Patients with coronavirus disease 2019 and chronic kidney disease are at higher risk of worsening their condition and even death. Therefore, early recognition and intervention of renal injury is particularly important for prognosis. In this paper, the clinical data of renal injury in patients with coronavirus disease 2019 were reviewed, and the possible pathogenesis, incidence, clinical features, diagnosis and treatment were proposed for reference in clinical decision-making.
Psilocybin is a hallucinogenic indole alkaloid derived from mushrooms, which is metabolized into psilocin in vivo and exerts biological effects. Clinical studies have shown that psilocybin has the effect of relieving anxiety and depression in cancer patients. Due to its fast onset, significant therapeutic effect, and low addictive nature, psilocybin has the potential to break through the bottleneck of slow action and poor efficacy of existing depression drugs, bringing new hope for the treatment of severe depression and refractory depression. This article will review the pharmacokinetics, antidepressant mechanisms, and research progress of psilocybin, providing a reference for subsequent research.
With the innovation and breakthrough of key technologies in smart medicine, actively exploring smart emergency measures and methods with artificial intelligence as the core technology is helpful to improve the ability of emergency medical team to diagnose and treat acute and critical diseases. This paper reviews the application status of artificial intelligence in pre-hospital and in-hospital diagnosis and treatment capabilities and system construction, expounds on the challenges it faces and possible coping strategies, and provides a reference for the in-depth integration and development of “artificial intelligence + emergency medicine” education, research and production during the new wave of scientific and technological revolution.
Objective To explore the correlation between gender and long-term prognosis of patients with type-B acute aortic dissection (AAD) after endovascular therapy (EVT). Methods From January to December 2012, all patients with type-B AAD undergoing EVT were enrolled by retrospective and observational study. They were divided into male and female groups. Kaplan-Meier analysis was used to analyze the correlation between gender and the cumulative survival rate. Results A total of 131 tyep-B AAD patients who had undergone EVT were selected, including 97 males (74.0%), and 34 females (26.0%). The medium follow-up duration was 2.1 years. Smoking history, cholesterol, white blood cell count, hemoglobin, creatinine and uric acid of the patients in males were higher than those in females (P<0.05); while the difference in other indexes were not significant (P>0.05). The inhospital mortality of male patients was 10 (10.3%), and was 3 (8.8%) in female patients; there was no significant difference between the two groups (P=0.803). Kaplan-Meier analysis showed that there was no significant difference in cumulative survival rate between the two groups (84.5% vs. 82.4%; Logrank test χ2=0.023, P=0.880). Conclusion No correlation between gender and long-term prognosis in patients with type-B AAD after EVT is found.
Objective To evaluate the predicting effect of quick Sequential Organ Failure Assessment (qSOFA) on septic shock, and investigate the probability of improving the predicting effect. Methods Patients with sepsis diagnosed in Emergency Department from July 2015 to June 2016 were enrolled. They were divided into shock group and non-shock group based on whether or not they had septic shock during 72 hours after admission. The multivariate logistic regression analysis was used to find out the independent risk factors affecting the incidence of septic shock. Receiver operating characteristic (ROC) curve was used to analyze those risk factors. Modified Early Warning Score (MEWS), Mortality in Emergency Department Sepsis Score (MEDS), Sequential Organ Failure Assessment (SOFA), Acute Physiology and Chronic HealthEvaluation (APACHE)Ⅱ and qSOFA were also compared with ROC curve analysis. The possibility of improvement of qSOFA predicting effect was discussed. Results A total of 821 patients were enrolled, with 108 in septic shock group and 713 in non-septic shock. The result of multivariate logistic regression analysis indicated that respiratory rate, systolic blood pressure, pH value, oxygenation index, lactate, albumin, Glasgow Coma Score and procalcitonin were the independent risk factors (P<0.05). The result of ROC analysis showed that the area under curve (AUC) of pH value, lactate and procalcitonin was 0.695, 0.678 and 0.694, respectively. Lactate had the highest value of specificity (0.868), positive predictive value (0.356) and positive likelihood ratio (3.644), while the sensitivity (0.889) and negative predictive value (0.961) of procalcitonin were the highest. MEWS, MEDS, SOFA, APACHEⅡ and qSOFA were compared with ROC. SOFA had the best predicting effect with the statistical results of AUC (0.833), sensitivity (0.835), specificity (0.435), positive predictive value (0.971), negative predictive value (0.971), and positive likelihood ratio (5.048); and MEWS had the highest negative likelihood ratio (0.581). qSOFA did not show a best predicting value. Conclusion qSOFA is not the best choice to predict the possibility of septic shock, but its predicting value might be improved when combined with pH value, lactate and procalcitonin.