Coronavirus disease 2019 or most commonly known as COVID-19 is a trending global infectious disease which a few months ago was affirmed as a global health emergency or a pandemic by the WHO Emergency Committee.The com...Coronavirus disease 2019 or most commonly known as COVID-19 is a trending global infectious disease which a few months ago was affirmed as a global health emergency or a pandemic by the WHO Emergency Committee.The common symptoms manifested in this pandemic disease are high grade fever,cough,fatigue,shortness of breath and flu like symptom which can evolve into severe respiratory disorders such as pneumonia,acute respiratory distress syndrome(ARDS)and/or end-organ failure.Factors that contribute to the severity or high mortality rate in COVID-19 include old age,comorbidities like hypertension,diabetes,hyperlipidaemia,neutrophilia,and organ and coagulation dysfunction.Disseminated intravascular coagulation and other various coagulopathies including Venous thromboembolism have known to become a major contributing factor to high mortality rate.Venous thromboembolism is a disease which is a combination of deep vein thrombosis and pulmonary embolism.Prophylactic anticoagulation in patients prone to or with a pre-existing history of venous thromboembolism is associated with decreased mortality in severe COVID-19 pneumonia.This review article focuses upon COVID-19 and increased incidence of venous thromboembolism in patients infected by COVID-19 along with the role it has in high mortality rate in COVID-19 patients.展开更多
<span style="font-family:Verdana;"><strong>Introduction: </strong>Coronavirus Disease 2019 (COVID-19) is a viral infection that was first reported in Wuhan, China on 31 December 2019. This ...<span style="font-family:Verdana;"><strong>Introduction: </strong>Coronavirus Disease 2019 (COVID-19) is a viral infection that was first reported in Wuhan, China on 31 December 2019. This study aimed to clarify the epidemiology and clinical characteristics of 500 first COVID-19 in the Najran region, Saudi Arabia. <strong>Material and Methods:</strong> A multi-center retrospective study design was employed to study the first 500 confirmed COVID-19 positive cases in Najran province, Kingdom of Saudi Arabia (KSA). Data were collected from 1 March 2020 until 1 July 2020 and provided by the Infection Prevention and Control (IPC) department from the hospitals. Included cases were confirmed using real-time reverse transcriptase-polymerase chain reaction (RT-PCR). Demographic, vital signs, symptoms, incubation period, travel or exposure history medical history, and comorbidities were collected. Logistic regression analysis was used to explore the association between potential risk factors associated with symptoms occurrence of COVID-19. <strong>Results:</strong> The median age of 500 COVID-19 patients was 31 years;333 (66.6%) males. A total of 34 (6.8%) were Healthcare Workers (HCWs). Out of the 500 patients, 180 (36%) had at least one comorbid disease. The most common symptoms on admission were fever 281 (56.2%), cough 266 (53.2%), shortness of breath 166 (33.2%), and malaise 113 (22.6%). Most of the patients presented with mild disease severity 310 (62%). Nationality, age, and Diabetes Miletus (DM) were independently and significantly associated with being symptomatic (P < 0.05). Compared to Saudi nationals, other nationality patients were most likely to have symptoms (<em>β</em> = 2.968, CI = 2.002 - 4.400, P = 0.0010). For every 1 year increase in age, the risk of being symptomatic increased by 5.8% (<em>β</em> = 1.045, CI = 1.033 - 1.058, P = 0.001). Compared with non-DM patients, DM patients had a 4.05 times higher risk (<em>β</em> = 4.05, CI = 2.188 - 7.507, P = 0.001) of getting symptoms. <strong>Conclusions:</strong> The study concluded that the majority of the COVID-19 patients were symptomatic or had mild disease severity. Age, nationality, and DM were the important risk factors in being symptomatic.</span>展开更多
This is the description of the prevention and the development of the sessions of hemodialysis in our center hemodialysis to not be contaminated coronavirus. Actions taking are: respect of the measures decreed by the s...This is the description of the prevention and the development of the sessions of hemodialysis in our center hemodialysis to not be contaminated coronavirus. Actions taking are: respect of the measures decreed by the state for prevention. Although these measures are difficult socio-cultural for Africans, they became normal after two weeks. The hemodialysis is made free during this period in our public center. Indeed, the session of hemodialysis was 10,000 francs Africans financial community (CFA in french) or 16.72 American dollar, from the declaration of the state of emergency it has become free. We do hemodialysis free and explanation of covid19 signs in hemodialysis patients systematically. Each patient had the explanation of the pathology and above all we did everything to de-stress the patients, because there is a global psychosis. Cleaning hand before entering the hemodialysis room, we have positioned front of the hospital and before the service and the front of room hemodialysis, seals for washing hands. We monitor the temperature before hemodialysis with a thermoflash or a mercury thermometer for each patient. We made a mandatory to wear masks for all patients during hemodialysis sessions. We shared the masks in loincloth with liners to all the patients a local manufacture.展开更多
目的:分析新型冠状病毒感染(COVID-19)相关心律失常的文献,探索该领域的研究现状、热点并预测未来的趋势,为后来的研究者提供借鉴。方法:选择Web of Science的核心合集数据库,每项研究都进行了文献计量和视觉分析,使用CiteSpace和VOSvie...目的:分析新型冠状病毒感染(COVID-19)相关心律失常的文献,探索该领域的研究现状、热点并预测未来的趋势,为后来的研究者提供借鉴。方法:选择Web of Science的核心合集数据库,每项研究都进行了文献计量和视觉分析,使用CiteSpace和VOSviewer软件生成知识图谱。结果:共鉴定出768篇文章,发文涉及美国、意大利和中国为首的319个国家/地区和4 366个机构,领先的研究机构是梅奥诊所和哈佛医学院。New England Journal of Medicine是该领域最常被引用的期刊。在6 687位作者中,Arbelo Elena撰写的研究最多,Guo T被共同引用的次数最多,心房纤颤是最常见的关键词。结论:随着COVID-19的暴发,对COVID-19所致新发/进行性心律失常事件的研究蓬勃发展,未来的研究者可能会对COVID-19感染后新发或遗留的快速性心律失常/缓慢性心律失常的发生机制进行进一步的探索。展开更多
目的基于传染病动力学SEAIQR(susceptible-exposed-asymptomatic-infected-quarantined-removed)模型和Dropout-LSTM(Dropout long short term memory network)模型预测西安市新型冠状病毒肺炎(COVID-19)疫情的发展趋势,为评估“动态清...目的基于传染病动力学SEAIQR(susceptible-exposed-asymptomatic-infected-quarantined-removed)模型和Dropout-LSTM(Dropout long short term memory network)模型预测西安市新型冠状病毒肺炎(COVID-19)疫情的发展趋势,为评估“动态清零”策略防控效果提供科学依据。方法考虑到西安市本轮疫情存在大量的无症状感染者、依时变化的参数以及采取的管控举措等特点,构建具有阶段性防控措施的时变SEAIQR模型。考虑到COVID-19疫情数据的时序性特征及它们之间的非线性关系,构建深度学习Dropout-LSTM模型。选用2021年12月9日-2022年1月31日西安市新增确诊病例数据进行拟合,用2022年2月1日-2022年2月7日数据评估预测效果,计算有效再生数(R_(t))并评价不同参数对疫情发展的影响。结果SEAIQR模型预测的新增确诊病例拐点预计在2021年12月26日出现,约为176例,疫情将于2022年1月24日实现“动态清零”,模型R^(2)=0.849。Dropout-LSTM模型能够体现数据的时序性与非线性特征,预测出的新增确诊病例数与实际情况高度吻合,R^(2)=0.937。Dropout-LSTM模型的MAE和RMSE均较SEAIQR模型低,说明预测结果更为理想。疫情暴发初期,R 0为5.63,自实施全面管控后,R_(t)呈逐渐下降趋势,直到2021年12月27日降至1.0以下。随着有效接触率不断缩小、管控措施的提早实施及免疫阈值的提高,新增确诊病例在到达拐点时的人数将会持续降低。结论建立的Dropout-LSTM模型实现了较准确的疫情预测,可为COVID-19疫情“动态清零”防控决策提供借鉴。展开更多
文摘Coronavirus disease 2019 or most commonly known as COVID-19 is a trending global infectious disease which a few months ago was affirmed as a global health emergency or a pandemic by the WHO Emergency Committee.The common symptoms manifested in this pandemic disease are high grade fever,cough,fatigue,shortness of breath and flu like symptom which can evolve into severe respiratory disorders such as pneumonia,acute respiratory distress syndrome(ARDS)and/or end-organ failure.Factors that contribute to the severity or high mortality rate in COVID-19 include old age,comorbidities like hypertension,diabetes,hyperlipidaemia,neutrophilia,and organ and coagulation dysfunction.Disseminated intravascular coagulation and other various coagulopathies including Venous thromboembolism have known to become a major contributing factor to high mortality rate.Venous thromboembolism is a disease which is a combination of deep vein thrombosis and pulmonary embolism.Prophylactic anticoagulation in patients prone to or with a pre-existing history of venous thromboembolism is associated with decreased mortality in severe COVID-19 pneumonia.This review article focuses upon COVID-19 and increased incidence of venous thromboembolism in patients infected by COVID-19 along with the role it has in high mortality rate in COVID-19 patients.
文摘<span style="font-family:Verdana;"><strong>Introduction: </strong>Coronavirus Disease 2019 (COVID-19) is a viral infection that was first reported in Wuhan, China on 31 December 2019. This study aimed to clarify the epidemiology and clinical characteristics of 500 first COVID-19 in the Najran region, Saudi Arabia. <strong>Material and Methods:</strong> A multi-center retrospective study design was employed to study the first 500 confirmed COVID-19 positive cases in Najran province, Kingdom of Saudi Arabia (KSA). Data were collected from 1 March 2020 until 1 July 2020 and provided by the Infection Prevention and Control (IPC) department from the hospitals. Included cases were confirmed using real-time reverse transcriptase-polymerase chain reaction (RT-PCR). Demographic, vital signs, symptoms, incubation period, travel or exposure history medical history, and comorbidities were collected. Logistic regression analysis was used to explore the association between potential risk factors associated with symptoms occurrence of COVID-19. <strong>Results:</strong> The median age of 500 COVID-19 patients was 31 years;333 (66.6%) males. A total of 34 (6.8%) were Healthcare Workers (HCWs). Out of the 500 patients, 180 (36%) had at least one comorbid disease. The most common symptoms on admission were fever 281 (56.2%), cough 266 (53.2%), shortness of breath 166 (33.2%), and malaise 113 (22.6%). Most of the patients presented with mild disease severity 310 (62%). Nationality, age, and Diabetes Miletus (DM) were independently and significantly associated with being symptomatic (P < 0.05). Compared to Saudi nationals, other nationality patients were most likely to have symptoms (<em>β</em> = 2.968, CI = 2.002 - 4.400, P = 0.0010). For every 1 year increase in age, the risk of being symptomatic increased by 5.8% (<em>β</em> = 1.045, CI = 1.033 - 1.058, P = 0.001). Compared with non-DM patients, DM patients had a 4.05 times higher risk (<em>β</em> = 4.05, CI = 2.188 - 7.507, P = 0.001) of getting symptoms. <strong>Conclusions:</strong> The study concluded that the majority of the COVID-19 patients were symptomatic or had mild disease severity. Age, nationality, and DM were the important risk factors in being symptomatic.</span>
文摘This is the description of the prevention and the development of the sessions of hemodialysis in our center hemodialysis to not be contaminated coronavirus. Actions taking are: respect of the measures decreed by the state for prevention. Although these measures are difficult socio-cultural for Africans, they became normal after two weeks. The hemodialysis is made free during this period in our public center. Indeed, the session of hemodialysis was 10,000 francs Africans financial community (CFA in french) or 16.72 American dollar, from the declaration of the state of emergency it has become free. We do hemodialysis free and explanation of covid19 signs in hemodialysis patients systematically. Each patient had the explanation of the pathology and above all we did everything to de-stress the patients, because there is a global psychosis. Cleaning hand before entering the hemodialysis room, we have positioned front of the hospital and before the service and the front of room hemodialysis, seals for washing hands. We monitor the temperature before hemodialysis with a thermoflash or a mercury thermometer for each patient. We made a mandatory to wear masks for all patients during hemodialysis sessions. We shared the masks in loincloth with liners to all the patients a local manufacture.
文摘目的:分析新型冠状病毒感染(COVID-19)相关心律失常的文献,探索该领域的研究现状、热点并预测未来的趋势,为后来的研究者提供借鉴。方法:选择Web of Science的核心合集数据库,每项研究都进行了文献计量和视觉分析,使用CiteSpace和VOSviewer软件生成知识图谱。结果:共鉴定出768篇文章,发文涉及美国、意大利和中国为首的319个国家/地区和4 366个机构,领先的研究机构是梅奥诊所和哈佛医学院。New England Journal of Medicine是该领域最常被引用的期刊。在6 687位作者中,Arbelo Elena撰写的研究最多,Guo T被共同引用的次数最多,心房纤颤是最常见的关键词。结论:随着COVID-19的暴发,对COVID-19所致新发/进行性心律失常事件的研究蓬勃发展,未来的研究者可能会对COVID-19感染后新发或遗留的快速性心律失常/缓慢性心律失常的发生机制进行进一步的探索。
文摘目的基于传染病动力学SEAIQR(susceptible-exposed-asymptomatic-infected-quarantined-removed)模型和Dropout-LSTM(Dropout long short term memory network)模型预测西安市新型冠状病毒肺炎(COVID-19)疫情的发展趋势,为评估“动态清零”策略防控效果提供科学依据。方法考虑到西安市本轮疫情存在大量的无症状感染者、依时变化的参数以及采取的管控举措等特点,构建具有阶段性防控措施的时变SEAIQR模型。考虑到COVID-19疫情数据的时序性特征及它们之间的非线性关系,构建深度学习Dropout-LSTM模型。选用2021年12月9日-2022年1月31日西安市新增确诊病例数据进行拟合,用2022年2月1日-2022年2月7日数据评估预测效果,计算有效再生数(R_(t))并评价不同参数对疫情发展的影响。结果SEAIQR模型预测的新增确诊病例拐点预计在2021年12月26日出现,约为176例,疫情将于2022年1月24日实现“动态清零”,模型R^(2)=0.849。Dropout-LSTM模型能够体现数据的时序性与非线性特征,预测出的新增确诊病例数与实际情况高度吻合,R^(2)=0.937。Dropout-LSTM模型的MAE和RMSE均较SEAIQR模型低,说明预测结果更为理想。疫情暴发初期,R 0为5.63,自实施全面管控后,R_(t)呈逐渐下降趋势,直到2021年12月27日降至1.0以下。随着有效接触率不断缩小、管控措施的提早实施及免疫阈值的提高,新增确诊病例在到达拐点时的人数将会持续降低。结论建立的Dropout-LSTM模型实现了较准确的疫情预测,可为COVID-19疫情“动态清零”防控决策提供借鉴。
