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.
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.
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
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.
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.
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 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.
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.
