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.
China’s “15th Five-Year Plan” explicitly proposes the implementation of a health-prioritized development strategy, aiming to comprehensively enhance emergency medical care and response capabilities. In this context, the development of emergency medicine will face new opportunities and challenges. In order to provide theoretical and practical references for the high-quality development of emergency medicine, this paper analyzes the shortcomings in the identification and early warning of critical illnesses, the timeliness of emergency care, and emergency response capabilities in the development of emergency medicine in China. It reviews current practices with cutting-edge technologies in innovating diagnostic and monitoring techniques and equipment, optimizing and integrating resources, promoting interdisciplinary collaboration, and leveraging the complementary advantages of traditional Chinese and Western medicine. Furthermore, it outlines future development directions.
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.
Objective To elucidate the effect of first-aid fast track in triaging earthquake trauma patients by studying the earthquake trauma patients staying in the Emergency Department of West China Hospital after “5?12 Wenchuan Earthquake” so as to accumulate experience in the treatment of disaster traumas. Methods A retrospective study was done on earthquake trauma patients staying in the Emergency Department of West China Hospital after “5?12 Wenchuan Earthquake” from 14:28 May 12, 2008 to 14:27 May 15, 2008. Differences in care given during the time period were analyzed. Results There were 536 earthquake trauma patients in West China Hospital within 72 hours after the earthquake. Twohundred and seven earthquake trauma patients staying in the Emergency Department had an average stay of 129 minutes during the 24 hours after the quake; 104 earthquake trauma patients staying in the Emergency Department had an average stay of 97 minutes in the second 24 hours; and 226 earthquake trauma patients staying in the Emergency Department had an average stay of 86 minutes in the third 24 hours. Each consecutive day showed shorter average stays. Conclusion The first-aid fast track not only guarantees earthquake trauma patients are saved as soon as possible but also shortens the time in the Emergency Department.
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.
Objective
To explore the predictive factors for long-term adverse prognosis in patients with tuberculosis meningitis.
Methods
We retrospectively analyzed the clinical data (general clinical data, laboratory test results, and imaging findings) of hospitalized cases of tuberculosis meningitis admitted to West China Hospital of Sichuan University from 00:00:00 on August 1st, 2011 to 23:59:59 on July 31st, 2012. We collected data of prognosis results after 6 years of illness by telephone follow-up, and quantified outcome measures by modified Rankin Scale (mRS) score (0–6 points). According to the mRS score, the cases obtaining 0 points≤mRS<3 points were divided into the good prognosis group and the cases obtaining 3≤mRS≤6 points were divided into the poor prognosis group, logistic regression analysis was executed to find the independent risk factors affecting long-term poor prognosis.
Results
A total of 119 cases were included, including 63 males and 56 females; the average age was (35±17) years. Among them, 53 patients had poor prognosis and 66 patients had good prognosis. After univariate analysis, the age (t=–3.812, P<0.001), systolic blood pressure at admission (t=–2.009, P=0.049), Glasgow Coma Scale score (t=3.987, P<0.001), Medical Research Council (MRC) staging system (Z=–4.854, P<0.001), headache (χ2=4.101, P=0.043), alter consciousness (χ2=10.621, P=0.001), cognitive dysfunction (χ2=4.075, P=0.044), cranial nerve palsy (χ2=5.853, P=0.016), peripheral nerve dysfunction (χ2=14.925, P<0.001), meningeal irritation (χ2=7.174, P=0.007), serum potassium (t=3.080, P=0.003), cerebrospinal fluid protein content (Z=–2.568, P=0.010), cerebrospinal fluid chlorine (t=2.543, P=0.012), hydrocephalus (χ2=11.766, P=0.001), and cerebral infarction (χ2=6.539, P=0.012) were associated with long-term poor prognosis of tuberculosis meningitis. Multivariate analysis showed that age [odds ratio (OR)=1.061, 95% confidence interval (CI) (1.027, 1.096), P<0.001], peripheral nerve dysfunction [OR=3.537, 95%CI (1.070, 11.697), P=0.038], MRC Stage Ⅱ[OR=9.317, 95%CI (1.692, 51.303), P=0.010], MRC Stage Ⅲ [OR=43.953, 95%CI (3.996, 483.398), P=0.002] were the independent risk factors for long-term poor prognosis of tuberculosis meningitis. Hydrocephalus [OR=2.826, 95%CI (0.999, 8.200), P=0.050] might be an independent risk factor for long-term poor prognosis of tuberculosis meningitis.
Conclusions
Age, MRC staging system (Stage Ⅱ, Stage Ⅲ) and peripheral neurological dysfunction are chronic poor-prognostic independent risk factors for tuberculosis meningitis. Hydrocephalus may be associated with long-term adverse prognosis of tuberculosis meningitis
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.
