The index of Risk Frequency (RF) and other relative indices are used to analyze the temporal and spatial patterns of environmental riskevents in the past 30 years in Shenyang city. The results show that thereexists si...The index of Risk Frequency (RF) and other relative indices are used to analyze the temporal and spatial patterns of environmental riskevents in the past 30 years in Shenyang city. The results show that thereexists significant difference of the RFs between periods of 1966-1977 and1978-1991 (t=7.353**, t0.01=2.807). During the past 30 years, there areno significant changes of the spatial patterns of the environmental risk,while the proportions of environmental risk among the districts are extremely different. In Shenyang city, there exists a series of high riskenterprises, and the chemical industry is the one with highest risk.展开更多
Event evolution analysis which provides an effective approach to capture the main context of a story from explosive increased news texts has become the critical basis for many real applications,such as crisis and emer...Event evolution analysis which provides an effective approach to capture the main context of a story from explosive increased news texts has become the critical basis for many real applications,such as crisis and emergency management and decision making.Especially,the development of societal risk events which may cause some possible harm to society or individuals has been heavily concerned by both the government and the public.In order to capture the evolution and trends of societal risk events,this paper presents an improved algorithm based on the method of information maps.It contains an event-level cluster generation algorithm and an evaluation algorithm.The main work includes:1)Word embedding representation is adopted and event-level clusters are chosen as nodes of the events evolution chains which may comprehensively present the underlying structure of events.Meanwhile,clusters that consist of risk-labeled events enable to illustrate how events evolve along the time with transitions of risks.2)One real-world case,the event of"Chinese Red Cross",is studied and a series of experiments are conducted.3)An evaluation algorithm is proposed on the basis of indicators of map construction without massive human-annotated dataset.Our approach for event evolution analysis automatically generates a visual evolution of societal risk events,displaying a clear and structural picture of events development.展开更多
BACKGROUND Fulminant myocarditis is the critical form of myocarditis that is often associated with heart failure, malignant arrhythmia, and circulatory failure. Patients with fulminant myocarditis who end up with seve...BACKGROUND Fulminant myocarditis is the critical form of myocarditis that is often associated with heart failure, malignant arrhythmia, and circulatory failure. Patients with fulminant myocarditis who end up with severe multiple organic failure and death are not rare.AIM To analyze the predictors of in-hospital major adverse cardiovascular events(MACE) in patients diagnosed with fulminant myocarditis.METHODS We included a cohort of adult patients diagnosed with fulminant myocarditis who were admitted to Beijing Anzhen Hospital from January 2007 to December2017. The primary endpoint was defined as in-hospital MACE, including death,cardiac arrest, cardiac shock, and ventricular fibrillation. Baseline demographics,clinical history, characteristics of electrocardiograph and ultrasonic cardiogram,laboratory examination, and treatment were recorded. Multivariable logistic regression was used to examine risk factors for in-hospital MACE, and the variables were subsequently assessed by the area under the receiver operating characteristic curve(AUC).RESULTS The rate of in-hospital MACE was 40%. Multivariable logistic regression analysis revealed that baseline QRS duration > 120 ms was the independent risk factor for in-hospital MACE(odds ratio = 4.57, 95%CI: 1.23-16.94, P = 0.023). The AUC of QRS duration > 120 ms for predicting in-hospital MACE was 0.683(95%CI: 0.532-0.833, P = 0.03).CONCLUSION Patients with fulminant myocarditis has a poor outcome. Baseline QRS duration is the independent risk factor for poor outcome in those patients.展开更多
Background There are limited data on the prevalence of electrocardiographic (ECG) abnormalities, and their value for predicting a major adverse cardiovascular event (MACE) in patients at high cardiovascular risk. This...Background There are limited data on the prevalence of electrocardiographic (ECG) abnormalities, and their value for predicting a major adverse cardiovascular event (MACE) in patients at high cardiovascular risk. This study aimed to determine the prevalence of ECG abnormalities in patients at high risk for cardiovascular events, and to identify ECG abnormalities that significantly predict MACE. Methods Patients aged ≥ 45 years with established atherosclerotic disease (EAD) were consecutively enrolled from the outpatient clinics of the six participating hospitals during April 2011 to March 2014. The following data were collected: demographic data, cardiovascular risk factors, history of cardiovascular event, physical examination, ECG and medications. ECG was analyzed using Minnesota Code criteria. MACE included cardiovascular death, non-fatal myocardial infarction, and hospitalization due to unstable angina or heart failure. Results A total of 2009 patients were included, 1048 patients (52.2%) had established EAD, and 961 patients (47.8%) had multiple risk factors (MRF). ECG abnormalities included atrial fibrillation (6.7%), premature ventricular contraction (5.4%), pathological Q-wave (Q/QS)(21.3%), T-wave inversion (20.0%), intraventricular ventricular conduction delay (IVCD)(7.3%), left ventricular hypertrophy (LVH)(12.2%), and AV block (12.5%). MACE occurred in 88 patients (4.4%). Independent predictors of MACE were chronic kidney disease, EAD, and the presence of atrial fibrillation, Q/QS, IVCD or LVH by ECG. Conclusions A high prevalence of ECG abnormalities was found. The prevalence of ECG abnormalities was high even among those with risk factors without documented cardiovascular disease.展开更多
重组人生长激素(recombinant human growth hormone,rhGH)是改善身材矮小的有效治疗药物,目前rhGH可应用于包含生长激素缺乏症在内的多种原因导致的身材矮小,临床应用的扩展使其安全性问题备受关注。基于现有证据,当rhGH规范应用于生理...重组人生长激素(recombinant human growth hormone,rhGH)是改善身材矮小的有效治疗药物,目前rhGH可应用于包含生长激素缺乏症在内的多种原因导致的身材矮小,临床应用的扩展使其安全性问题备受关注。基于现有证据,当rhGH规范应用于生理性替代治疗时,其安全性较好。临床中,应用rhGH进行治疗期间可结合文献证据和临床经验重点关注短期安全性,长期安全性由于rhGH治疗时间不足尚无准确定论。该文梳理了在rhGH治疗过程中有可能出现的不良事件及其风险控制措施,旨在帮助临床医生了解rhGH治疗的整体安全性,改善临床规范化应用。展开更多
目的探讨脊柱手术围手术期心血管并发症的发生率和危险因素。方法选择2015年1月~2020年12月在该院接受全身麻醉下脊柱手术的1508例患者作为研究对象,记录患者性别、年龄、体质量指数(body mass index,BMI)、美国麻醉医师协会(American s...目的探讨脊柱手术围手术期心血管并发症的发生率和危险因素。方法选择2015年1月~2020年12月在该院接受全身麻醉下脊柱手术的1508例患者作为研究对象,记录患者性别、年龄、体质量指数(body mass index,BMI)、美国麻醉医师协会(American society of anesthesiologists,ASA)分级、血红蛋白(haemoglobin,Hb)、内生肌酐清除率(endogenous creatinine clearance rate,Ccr)、伴随疾病、手术原因、手术状态、手术方式、融合节段、术中事件、手术医师等等资料,观察围手术期(本研究定义为患者住院期间及术后28 d内)发生的主要心血管不良事件(major adverse cardiovascular events,MACE)发生率。根据是否发生MACE将患者分为两组,采用单因素(卡方检验、t检验)和多因素分析观察影响MACE的风险因素。结果本研究中,共22例患者在研究定义的时间内发生MACE,发生率1.46%。单因素分析显示,MACE和非MACE患者的BMI、Hb、高血压、中风、阻塞性睡眠呼吸暂停、甲状腺疾病、慢性肺疾病、手术状态、手术方式、术中高血压等资料比较,差异均无统计学意义(P>0.05);MACE和非MACE患者的性别、年龄、ASA分级、Ccr、糖尿病、慢性肾脏疾病、慢性心力衰竭、手术原因、融合节段、术中低血压、术中输血等资料比较,差异均存在统计学意义(P<0.05)。多因素Logistic分析结果显示,手术原因为脊柱侧凸、术前有慢性心力衰竭史、术中发生低血压均是影响术后MACE的风险因素(P<0.05)。结论脊柱手术患者围手术期MACE发生率为1.45%,影响MACE发生的风险因素可能包括术前慢性心力衰竭史、脊柱侧凸手术和术中低血压。展开更多
文摘The index of Risk Frequency (RF) and other relative indices are used to analyze the temporal and spatial patterns of environmental riskevents in the past 30 years in Shenyang city. The results show that thereexists significant difference of the RFs between periods of 1966-1977 and1978-1991 (t=7.353**, t0.01=2.807). During the past 30 years, there areno significant changes of the spatial patterns of the environmental risk,while the proportions of environmental risk among the districts are extremely different. In Shenyang city, there exists a series of high riskenterprises, and the chemical industry is the one with highest risk.
基金This work has been supported by National Key Research and Development Program of)China,under Grant No.2016YFB1000902,Na-tional Natural Science Foundation of China,under Grant No.71731002 and No.71971190 and Beijing Postdoctoral Research Foundation,under Grant No.ZZ2019-92The main con-tents had been presented at the 19th Inter-national Symposium on Knowledge and Sys-tems Sciences(KSS2018)held in Tokyo during November 17-19,2018.The referees are greatly appreciated for their help to improve the qual-ity of the extended paper.
文摘Event evolution analysis which provides an effective approach to capture the main context of a story from explosive increased news texts has become the critical basis for many real applications,such as crisis and emergency management and decision making.Especially,the development of societal risk events which may cause some possible harm to society or individuals has been heavily concerned by both the government and the public.In order to capture the evolution and trends of societal risk events,this paper presents an improved algorithm based on the method of information maps.It contains an event-level cluster generation algorithm and an evaluation algorithm.The main work includes:1)Word embedding representation is adopted and event-level clusters are chosen as nodes of the events evolution chains which may comprehensively present the underlying structure of events.Meanwhile,clusters that consist of risk-labeled events enable to illustrate how events evolve along the time with transitions of risks.2)One real-world case,the event of"Chinese Red Cross",is studied and a series of experiments are conducted.3)An evaluation algorithm is proposed on the basis of indicators of map construction without massive human-annotated dataset.Our approach for event evolution analysis automatically generates a visual evolution of societal risk events,displaying a clear and structural picture of events development.
基金Supported by Beijing Natural Science Foundation,No.7184205Beijing Talents Fund,No.2017000021469G224Foundation of Beijing Anzhen Hospital,Capital Medical University,No.2016Z07
文摘BACKGROUND Fulminant myocarditis is the critical form of myocarditis that is often associated with heart failure, malignant arrhythmia, and circulatory failure. Patients with fulminant myocarditis who end up with severe multiple organic failure and death are not rare.AIM To analyze the predictors of in-hospital major adverse cardiovascular events(MACE) in patients diagnosed with fulminant myocarditis.METHODS We included a cohort of adult patients diagnosed with fulminant myocarditis who were admitted to Beijing Anzhen Hospital from January 2007 to December2017. The primary endpoint was defined as in-hospital MACE, including death,cardiac arrest, cardiac shock, and ventricular fibrillation. Baseline demographics,clinical history, characteristics of electrocardiograph and ultrasonic cardiogram,laboratory examination, and treatment were recorded. Multivariable logistic regression was used to examine risk factors for in-hospital MACE, and the variables were subsequently assessed by the area under the receiver operating characteristic curve(AUC).RESULTS The rate of in-hospital MACE was 40%. Multivariable logistic regression analysis revealed that baseline QRS duration > 120 ms was the independent risk factor for in-hospital MACE(odds ratio = 4.57, 95%CI: 1.23-16.94, P = 0.023). The AUC of QRS duration > 120 ms for predicting in-hospital MACE was 0.683(95%CI: 0.532-0.833, P = 0.03).CONCLUSION Patients with fulminant myocarditis has a poor outcome. Baseline QRS duration is the independent risk factor for poor outcome in those patients.
基金supported by the Heart Association of Thailand under the Royal Patronage of H.M. the King, National Research Council of Thailand
文摘Background There are limited data on the prevalence of electrocardiographic (ECG) abnormalities, and their value for predicting a major adverse cardiovascular event (MACE) in patients at high cardiovascular risk. This study aimed to determine the prevalence of ECG abnormalities in patients at high risk for cardiovascular events, and to identify ECG abnormalities that significantly predict MACE. Methods Patients aged ≥ 45 years with established atherosclerotic disease (EAD) were consecutively enrolled from the outpatient clinics of the six participating hospitals during April 2011 to March 2014. The following data were collected: demographic data, cardiovascular risk factors, history of cardiovascular event, physical examination, ECG and medications. ECG was analyzed using Minnesota Code criteria. MACE included cardiovascular death, non-fatal myocardial infarction, and hospitalization due to unstable angina or heart failure. Results A total of 2009 patients were included, 1048 patients (52.2%) had established EAD, and 961 patients (47.8%) had multiple risk factors (MRF). ECG abnormalities included atrial fibrillation (6.7%), premature ventricular contraction (5.4%), pathological Q-wave (Q/QS)(21.3%), T-wave inversion (20.0%), intraventricular ventricular conduction delay (IVCD)(7.3%), left ventricular hypertrophy (LVH)(12.2%), and AV block (12.5%). MACE occurred in 88 patients (4.4%). Independent predictors of MACE were chronic kidney disease, EAD, and the presence of atrial fibrillation, Q/QS, IVCD or LVH by ECG. Conclusions A high prevalence of ECG abnormalities was found. The prevalence of ECG abnormalities was high even among those with risk factors without documented cardiovascular disease.
文摘重组人生长激素(recombinant human growth hormone,rhGH)是改善身材矮小的有效治疗药物,目前rhGH可应用于包含生长激素缺乏症在内的多种原因导致的身材矮小,临床应用的扩展使其安全性问题备受关注。基于现有证据,当rhGH规范应用于生理性替代治疗时,其安全性较好。临床中,应用rhGH进行治疗期间可结合文献证据和临床经验重点关注短期安全性,长期安全性由于rhGH治疗时间不足尚无准确定论。该文梳理了在rhGH治疗过程中有可能出现的不良事件及其风险控制措施,旨在帮助临床医生了解rhGH治疗的整体安全性,改善临床规范化应用。
文摘目的探讨脊柱手术围手术期心血管并发症的发生率和危险因素。方法选择2015年1月~2020年12月在该院接受全身麻醉下脊柱手术的1508例患者作为研究对象,记录患者性别、年龄、体质量指数(body mass index,BMI)、美国麻醉医师协会(American society of anesthesiologists,ASA)分级、血红蛋白(haemoglobin,Hb)、内生肌酐清除率(endogenous creatinine clearance rate,Ccr)、伴随疾病、手术原因、手术状态、手术方式、融合节段、术中事件、手术医师等等资料,观察围手术期(本研究定义为患者住院期间及术后28 d内)发生的主要心血管不良事件(major adverse cardiovascular events,MACE)发生率。根据是否发生MACE将患者分为两组,采用单因素(卡方检验、t检验)和多因素分析观察影响MACE的风险因素。结果本研究中,共22例患者在研究定义的时间内发生MACE,发生率1.46%。单因素分析显示,MACE和非MACE患者的BMI、Hb、高血压、中风、阻塞性睡眠呼吸暂停、甲状腺疾病、慢性肺疾病、手术状态、手术方式、术中高血压等资料比较,差异均无统计学意义(P>0.05);MACE和非MACE患者的性别、年龄、ASA分级、Ccr、糖尿病、慢性肾脏疾病、慢性心力衰竭、手术原因、融合节段、术中低血压、术中输血等资料比较,差异均存在统计学意义(P<0.05)。多因素Logistic分析结果显示,手术原因为脊柱侧凸、术前有慢性心力衰竭史、术中发生低血压均是影响术后MACE的风险因素(P<0.05)。结论脊柱手术患者围手术期MACE发生率为1.45%,影响MACE发生的风险因素可能包括术前慢性心力衰竭史、脊柱侧凸手术和术中低血压。
