Corona Virus Disease-2019(COVID-19)was reported at first in Wuhan city,China by December 2019.World Health Organization(WHO)declared COVID-19 as a pandemic i.e.,global health crisis onMarch 11,2020.The outbreak of COV...Corona Virus Disease-2019(COVID-19)was reported at first in Wuhan city,China by December 2019.World Health Organization(WHO)declared COVID-19 as a pandemic i.e.,global health crisis onMarch 11,2020.The outbreak of COVID-19 pandemic and subsequent lockdowns to curb the spread,not only affected the economic status of a number of countries,but it also resulted in increased levels of Depression,Anxiety,and Stress(DAS)among people.Therefore,there is a need exists to comprehend the relationship among psycho-social factors in a country that is hypothetically affected by high levels of stress and fear;with tremendously-limitingmeasures of social distancing and lockdown in force;and with high rates of new cases and mortalities.With this motivation,the current study aims at investigating theDAS levels among college students during COVID-19 lockdown since they are identified as a highly-susceptible population.The current study proposes to develop Intelligent Feature Subset Selection withMachine Learning-based DAS predictive(IFSSML-DAS)model.The presented IFSSML-DAS model involves data preprocessing,Feature Subset Selection(FSS),classification,and parameter tuning.Besides,IFSSML-DAS model uses Group Gray Wolf Optimization based FSS(GGWO-FSS)technique to reduce the curse of dimensionality.In addition,Beetle Swarm Optimization based Least Square Support Vector Machine(BSO-LSSVM)model is also employed for classification in which the weight and bias parameters of the LSSVM model are optimally adjusted using BSO algorithm.The performance of the proposed IFSSML-DAS model was tested using a benchmark DASS-21 dataset and the results were investigated under different measures.The outcome of the study suggests the development of specialized programs to handleDAS among population so as to overcome COVID-19 crisis.展开更多
The emergence of the COVID-19 crisis,similar to the financial crisis of the 1980s and 1990s,has once more threatened the international economic systems.The rapid transmission of the Coronavirus has created travel bans...The emergence of the COVID-19 crisis,similar to the financial crisis of the 1980s and 1990s,has once more threatened the international economic systems.The rapid transmission of the Coronavirus has created travel bans and commuting restrictions on national and international scales,causing a severe recession in the world economy.This is more conspicuous in oil-exporting countries as petroleum products and prices have plummeted down.A good example of the countries that depend on oil and gas exports is Azerbaijan,a country whose domestic economy has not been unaffected by the COVID-19 crisis.This study explores how the COVID-19 crisis has affected Azerbaijan’s economic security.The hypothesis is that due to this pandemic and the reduction of petroleum prices on an international scale,the Azerbaijan’s economy now has declined and the government faces the reduction of oil production,and the devaluation of Azerbaijan’s currency,manat.Moreover,travel bans due to the Coronavirus have dramatically affected Azerbaijan’s other economic sectors and industries such as tourism.All these issues have seriously threatened Azerbaijan’s economic security and the economy will not grow significantly in the near future.展开更多
Objective:To investigate the factors affecting the quality of life of cancer patients by examining the degree of the COVID-19 pandemic-related depression,anxiety,stress,and treatment crisis.Methods:Data were collected...Objective:To investigate the factors affecting the quality of life of cancer patients by examining the degree of the COVID-19 pandemic-related depression,anxiety,stress,and treatment crisis.Methods:Data were collected from 132 cancer patients undergoing surgery,chemotherapy,radiotherapy,and hormone therapy at K University Hospital in D City using a structured questionnaire.The period of data collection was from May 6 to May 28,2022.The collected data were analyzed using descriptive statistics,t-test,ANOVA,Pearson’s correlation,and stepwise multiple regression.Results:The mean scores of quality-of-life,depression,anxiety,stress,and treatment crisis during the COVID-19 pandemic were 84.64±29.09,15.14±6.49,4.66±5.27,75.83±17.70,and 78.52±19.95,respectively.In terms of factors affecting the quality of life related to the COVID-19 pandemic,COVID-19 pandemic-related stress(β=0.41,P<0.001)appeared to have the greatest impact,followed by COVID-19 pandemic-related treatment-crisis(β=0.28,P=0.002),anxiety(β=0.21,P=0.002),and gender(β=0.14,P=0.009),with a total explanatory power of 67.6%.Conclusion:To improve the quality of life during the COVID-19 pandemic,COVID-19 pandemic-related stress,treatment-crisis,and anxiety should be periodically monitored and nursing interventions such as education on infection prevention,management,and emotional support programs should be provided to decrease the COVID-19 pandemic-related stress,treatment-crisis,and anxiety.展开更多
Digital learning is becoming increasingly important in the crisis COVID-19 and is widespread in most countries.The proliferation of smart devices and 5G telecommunications systems are contributing to the development o...Digital learning is becoming increasingly important in the crisis COVID-19 and is widespread in most countries.The proliferation of smart devices and 5G telecommunications systems are contributing to the development of digital learning systems as an alternative to traditional learning systems.Digital learning includes blended learning,online learning,and personalized learning which mainly depends on the use of new technologies and strategies,so digital learning is widely developed to improve education and combat emerging disasters such as COVID-19 diseases.Despite the tremendous benefits of digital learning,there are many obstacles related to the lack of digitized curriculum and collaboration between teachers and students.Therefore,many attempts have been made to improve the learning outcomes through the following strategies:collaboration,teacher convenience,personalized learning,cost and time savings through professional development,and modeling.In this study,facial expressions and heart rates are used to measure the effectiveness of digital learning systems and the level of learners’engagement in learning environments.The results showed that the proposed approach outperformed the known related works in terms of learning effectiveness.The results of this research can be used to develop a digital learning environment.展开更多
Background: COVID-19 was initially described to affect the respiratory system, it is now known to affect other systems and present in a myriad of ways. This has often proved to be a diagnostic and therapeutic challeng...Background: COVID-19 was initially described to affect the respiratory system, it is now known to affect other systems and present in a myriad of ways. This has often proved to be a diagnostic and therapeutic challenge to clinicians and stretched healthcare resources, sometimes with poor outcomes. We report on an atypical presentation of SARS-CoV-2 infection as an acute exacerbation of myasthenia gravis in a low resource setting. Case Presentation: A middle aged male with myasthenia gravis presented with a three weeks’ history of worsening generalized weakness and three days’ history of new-onset dysphagia with no history of fever and cough. After a few days of apparent improvement, the patient developed progressive respiratory distress. Further evaluation confirmed bilateral pneumonia and COVID-19. Conclusion: There is a need for clinicians and health service providers to have a low threshold for suspicion and testing for COVID-19 in patients with pre-existing medical conditions and immunomodulatory therapy such as Myasthenia gravis.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
目的分析COVID-19疫情暴发前后不同国家经季节和日历调整后的生育率(seasonally and calendar adjusted fertility rate,SAFR)趋势的变化及其影响因素。方法使用国际人类生育力数据库(Human Fertility Database,HFD)中28个国家自2012年...目的分析COVID-19疫情暴发前后不同国家经季节和日历调整后的生育率(seasonally and calendar adjusted fertility rate,SAFR)趋势的变化及其影响因素。方法使用国际人类生育力数据库(Human Fertility Database,HFD)中28个国家自2012年1月至2022年12月的月度SAFR数据,以2020年12月(2020年3月疫情暴发起点加9个月妊娠过程)为节点划分为疫情前(2012.1-2020.11)和疫情后(2020.12-2022.12)进行比较,使用中断时间序列方法分析各国疫情前后的SAFR趋势(短期波动和长期趋势)是否发生变化,使用秩和检验分析疫情前SAFR、人均GDP、公共卫生和社会措施(public health and social measures,PHSM)和失业率是否与SAFR趋势变化有关。结果疫情后28个国家中19个国家的SAFR出现短期下降,随后反弹。对于长期趋势,2个国家由下降趋势转为上升趋势,8个国家由上升趋势转为下降趋势,6个国家的SAFR保持不变。SAFR变化率下降主要集中在部分中欧国家以及地中海西岸的国家,而SAFR变化率增加的国家主要分布在北欧以及西欧地区。SAFR无短期波动的国家疫情前的SAFR低于有短期波动的国家(P=0.041),SAFR变化率下降国家的疫情前SAFR(P=0.005)与人均GDP(P=0.027)均低于SAFR变化率上升国家。未发现SAFR短期波动或长期趋势与PHSM严重程度指数或失业率存在关联。结论COVID-19疫情对28个国家的SAFR造成了不同的短期和长期影响,特别是经济水平和疫情前SAFR相对较低的国家可能更易遭到进一步打击。COVID-19疫情对各国人口的更长期影响值得进一步关注。展开更多
BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological well-being.However,few studies have examined those who recovered from...BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological well-being.However,few studies have examined those who recovered from coronavirus disease 2019(COVID-19).There is a paucity of data from the Middle East assessing the post-ICU discharge mental health status of patients who had COVID-19.AIM To evaluate anxiety and depression among patients who had severe COVID-19.METHODS This is a prospective single-center follow-up questionnaire-based study of adults who were admitted to the ICU or under ICU consultation for>24 h for COVID-19.Eligible patients were contacted via telephone.The patient’s anxiety and depression six months after ICU discharge were assessed using the Hospital Anxiety and Depression Scale(HADS).The primary outcome was the mean HADS score.The secondary outcomes were risk factors of anxiety and/or depression.RESULTS Patients who were admitted to the ICU because of COVID-19 were screened(n=518).Of these,48 completed the questionnaires.The mean age was 56.3±17.2 years.Thirty patients(62.5%)were male.The main comorbidities were endocrine(n=24,50%)and cardiovascular(n=21,43.8%)diseases.The mean overall HADS score for anxiety and depression at 6 months post-ICU discharge was 11.4(SD±8.5).A HADS score of>7 for anxiety and depression was detected in 15 patients(30%)and 18 patients(36%),respectively.Results from the multivariable ordered logistic regression demonstrated that vasopressor use was associated with the development of anxiety and depression[odds ratio(OR)39.06,95% confidence interval:1.309-1165.8;P<0.05].CONCLUSION Six months after ICU discharge,30% of patients who had COVID-19 demonstrated a HADS score that confirmed anxiety and depression.To compare the psychological status of patients following an ICU admission(with vs without COVID-19),further studies are warranted.展开更多
BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD),characterised by hepatic lipid accumulation,causes inflammation and oxidative stress accompanied by cell damage and fibrosis.Liver injury(LI)i...BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD),characterised by hepatic lipid accumulation,causes inflammation and oxidative stress accompanied by cell damage and fibrosis.Liver injury(LI)is also frequently reported in patients hospitalised with coronavirus disease 2019(COVID-19),while preexisting MASLD increases the risk of LI and the development of COVID-19-associated cholangiopathy.Mechanisms of injury at the cellular level remain unclear,but it may be significant that severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)which causes COVID-19,uses angiotensin-converting expression enzyme 2(ACE2),a key regulator of the‘anti-inflammatory’arm of the renin-angiotensin system,for viral attachment and host cell invasion.AIM To determine if hepatic ACE2 levels are altered during progression of MASLD and in patients who died with severe COVID-19.METHODS ACE2 protein levels and localisation,and histological fibrosis and lipid droplet accumulation as markers of MASLD were determined in formalin-fixed liver tissue sections across the MASLD pathological spectrum(isolated hepatocellular steatosis,metabolic dysfunction-associated steatohepatitis(MASH)+/-fibrosis,end-stage cirrhosis)and in post-mortem tissues from patients who had died with severe COVID-19,using ACE2 immunohistochemistry and haematoxylin and eosin and picrosirius red staining of total collagen and lipid droplet areas,followed by quantification using machine learning-based image pixel classifiers.RESULTS ACE2 staining is primarily intracellular and concentrated in the cytoplasm of centrilobular hepatocytes and apical membranes of bile duct cholangiocytes.Strikingly,ACE2 protein levels are elevated in non-fibrotic MASH compared to healthy controls but not in the progression to MASH with fibrosis and in cirrhosis.ACE2 protein levels and histological fibrosis are not associated,but ACE2 and liver lipid droplet content are significantly correlated across the MASLD spectrum.Hepatic ACE2 levels are also increased in COVID-19 patients,especially those showing evidence of LI,but are not correlated with the presence of SARS-CoV-2 virus in the liver.However,there is a clear association between the hepatic lipid droplet content and the presence of the virus,suggesting a possible functional link.CONCLUSION Hepatic ACE2 levels were elevated in nonfibrotic MASH and COVID-19 patients with LI,while lipid accumulation may promote intra-hepatic SARS-CoV-2 replication,accelerating MASLD progression and COVID-19-mediated liver damage.展开更多
Background:Solid organ transplant(SOT)activities,such as liver transplant,have been greatly influenced by the pandemic of coronavirus disease 2019(COVID-19),a disease caused by severe acute respiratory syndrome corona...Background:Solid organ transplant(SOT)activities,such as liver transplant,have been greatly influenced by the pandemic of coronavirus disease 2019(COVID-19),a disease caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Immunosuppressed individuals of liver transplant recipients(LTRs)tend to have a high risk of COVID-19 infection and related complications.Therefore,COVID-19 vaccination has been recommended to be administered as early as possible in LTRs.Data sources:The keywords“liver transplant”,“SARS-CoV-2”,and“vaccine”were used to retrieve articles published in PubMed.Results:The antibody response following the 1st and 2nd doses of vaccination was disappointingly low,and the immune responses among LTRs remarkably improved after the 3rd or 4th dose of vaccination.Although the 3rd or 4th dose of COVID-19 vaccine increased the antibody titer,a proportion of patients remained unresponsive.Furthermore,recent studies showed that SARS-CoV-2 vaccine could trigger adverse events in LTRs,including allograft rejection and liver injury.Conclusions:This review provides the recently reported data on the antibody response of LTRs following various doses of vaccine,risk factors for poor serological response and adverse events after vaccination.展开更多
The distribution of the immune system throughout the body complicates in vitro assessments of coronavirus disease 2019(COVID-19)immunobiology,often resulting in a lack of reproducibility when extrapolated to the whole...The distribution of the immune system throughout the body complicates in vitro assessments of coronavirus disease 2019(COVID-19)immunobiology,often resulting in a lack of reproducibility when extrapolated to the whole organism.Consequently,developing animal models is imperative for a comprehensive understanding of the pathology and immunology of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection.This review summarizes current progress related to COVID-19 animal models,including non-human primates(NHPs),mice,and hamsters,with a focus on their roles in exploring the mechanisms of immunopathology,immune protection,and long-term effects of SARS-CoV-2 infection,as well as their application in immunoprevention and immunotherapy of SARS-CoV-2 infection.Differences among these animal models and their specific applications are also highlighted,as no single model can fully encapsulate all aspects of COVID-19.To effectively address the challenges posed by COVID-19,it is essential to select appropriate animal models that can accurately replicate both fatal and non-fatal infections with varying courses and severities.Optimizing animal model libraries and associated research tools is key to resolving the global COVID-19 pandemic,serving as a robust resource for future emerging infectious diseases.展开更多
Coronavirus disease 2019(COVID-19)is a highly infectious disease caused by a novel human coronavirus called severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Diabetes is a well-known risk factor for infectio...Coronavirus disease 2019(COVID-19)is a highly infectious disease caused by a novel human coronavirus called severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Diabetes is a well-known risk factor for infectious diseases with high prevalence and increased severity.Here,we elucidated the possible factors for the increased vulnerability of diabetic patients to SARS-CoV-2 infection and the more severe COVID-19 illness.The worsened prognosis of patients with both COVID-19 and diabetes may be attributable to host receptor angiotensinconverting enzyme 2-assisted viral uptake.Moreover,insulin resistance is often associated with impaired mucosal and skin barrier integrity,resulting in microbiota dysbiosis,which increases susceptibility to viral infections.It may also be associated with higher levels of pro-inflammatory cytokines resulting from an impaired immune system in diabetics,inducing a cytokine storm and excessive inflammation.This review describes diabetes mellitus and its complications,explains the risk factors,such as disease characteristics and patient lifestyle,which may contribute to the high susceptibility of diabetic patients to COVID-19,and discusses preventive and therapeutic strategies for COVID-19-positive diabetic patients.展开更多
基金The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work under Grant Number(RGP 2/25/42),www.kku.edu.sa.This research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding Program.
文摘Corona Virus Disease-2019(COVID-19)was reported at first in Wuhan city,China by December 2019.World Health Organization(WHO)declared COVID-19 as a pandemic i.e.,global health crisis onMarch 11,2020.The outbreak of COVID-19 pandemic and subsequent lockdowns to curb the spread,not only affected the economic status of a number of countries,but it also resulted in increased levels of Depression,Anxiety,and Stress(DAS)among people.Therefore,there is a need exists to comprehend the relationship among psycho-social factors in a country that is hypothetically affected by high levels of stress and fear;with tremendously-limitingmeasures of social distancing and lockdown in force;and with high rates of new cases and mortalities.With this motivation,the current study aims at investigating theDAS levels among college students during COVID-19 lockdown since they are identified as a highly-susceptible population.The current study proposes to develop Intelligent Feature Subset Selection withMachine Learning-based DAS predictive(IFSSML-DAS)model.The presented IFSSML-DAS model involves data preprocessing,Feature Subset Selection(FSS),classification,and parameter tuning.Besides,IFSSML-DAS model uses Group Gray Wolf Optimization based FSS(GGWO-FSS)technique to reduce the curse of dimensionality.In addition,Beetle Swarm Optimization based Least Square Support Vector Machine(BSO-LSSVM)model is also employed for classification in which the weight and bias parameters of the LSSVM model are optimally adjusted using BSO algorithm.The performance of the proposed IFSSML-DAS model was tested using a benchmark DASS-21 dataset and the results were investigated under different measures.The outcome of the study suggests the development of specialized programs to handleDAS among population so as to overcome COVID-19 crisis.
文摘The emergence of the COVID-19 crisis,similar to the financial crisis of the 1980s and 1990s,has once more threatened the international economic systems.The rapid transmission of the Coronavirus has created travel bans and commuting restrictions on national and international scales,causing a severe recession in the world economy.This is more conspicuous in oil-exporting countries as petroleum products and prices have plummeted down.A good example of the countries that depend on oil and gas exports is Azerbaijan,a country whose domestic economy has not been unaffected by the COVID-19 crisis.This study explores how the COVID-19 crisis has affected Azerbaijan’s economic security.The hypothesis is that due to this pandemic and the reduction of petroleum prices on an international scale,the Azerbaijan’s economy now has declined and the government faces the reduction of oil production,and the devaluation of Azerbaijan’s currency,manat.Moreover,travel bans due to the Coronavirus have dramatically affected Azerbaijan’s other economic sectors and industries such as tourism.All these issues have seriously threatened Azerbaijan’s economic security and the economy will not grow significantly in the near future.
文摘Objective:To investigate the factors affecting the quality of life of cancer patients by examining the degree of the COVID-19 pandemic-related depression,anxiety,stress,and treatment crisis.Methods:Data were collected from 132 cancer patients undergoing surgery,chemotherapy,radiotherapy,and hormone therapy at K University Hospital in D City using a structured questionnaire.The period of data collection was from May 6 to May 28,2022.The collected data were analyzed using descriptive statistics,t-test,ANOVA,Pearson’s correlation,and stepwise multiple regression.Results:The mean scores of quality-of-life,depression,anxiety,stress,and treatment crisis during the COVID-19 pandemic were 84.64±29.09,15.14±6.49,4.66±5.27,75.83±17.70,and 78.52±19.95,respectively.In terms of factors affecting the quality of life related to the COVID-19 pandemic,COVID-19 pandemic-related stress(β=0.41,P<0.001)appeared to have the greatest impact,followed by COVID-19 pandemic-related treatment-crisis(β=0.28,P=0.002),anxiety(β=0.21,P=0.002),and gender(β=0.14,P=0.009),with a total explanatory power of 67.6%.Conclusion:To improve the quality of life during the COVID-19 pandemic,COVID-19 pandemic-related stress,treatment-crisis,and anxiety should be periodically monitored and nursing interventions such as education on infection prevention,management,and emotional support programs should be provided to decrease the COVID-19 pandemic-related stress,treatment-crisis,and anxiety.
文摘Digital learning is becoming increasingly important in the crisis COVID-19 and is widespread in most countries.The proliferation of smart devices and 5G telecommunications systems are contributing to the development of digital learning systems as an alternative to traditional learning systems.Digital learning includes blended learning,online learning,and personalized learning which mainly depends on the use of new technologies and strategies,so digital learning is widely developed to improve education and combat emerging disasters such as COVID-19 diseases.Despite the tremendous benefits of digital learning,there are many obstacles related to the lack of digitized curriculum and collaboration between teachers and students.Therefore,many attempts have been made to improve the learning outcomes through the following strategies:collaboration,teacher convenience,personalized learning,cost and time savings through professional development,and modeling.In this study,facial expressions and heart rates are used to measure the effectiveness of digital learning systems and the level of learners’engagement in learning environments.The results showed that the proposed approach outperformed the known related works in terms of learning effectiveness.The results of this research can be used to develop a digital learning environment.
文摘Background: COVID-19 was initially described to affect the respiratory system, it is now known to affect other systems and present in a myriad of ways. This has often proved to be a diagnostic and therapeutic challenge to clinicians and stretched healthcare resources, sometimes with poor outcomes. We report on an atypical presentation of SARS-CoV-2 infection as an acute exacerbation of myasthenia gravis in a low resource setting. Case Presentation: A middle aged male with myasthenia gravis presented with a three weeks’ history of worsening generalized weakness and three days’ history of new-onset dysphagia with no history of fever and cough. After a few days of apparent improvement, the patient developed progressive respiratory distress. Further evaluation confirmed bilateral pneumonia and COVID-19. Conclusion: There is a need for clinicians and health service providers to have a low threshold for suspicion and testing for COVID-19 in patients with pre-existing medical conditions and immunomodulatory therapy such as Myasthenia gravis.
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。
文摘目的分析COVID-19疫情暴发前后不同国家经季节和日历调整后的生育率(seasonally and calendar adjusted fertility rate,SAFR)趋势的变化及其影响因素。方法使用国际人类生育力数据库(Human Fertility Database,HFD)中28个国家自2012年1月至2022年12月的月度SAFR数据,以2020年12月(2020年3月疫情暴发起点加9个月妊娠过程)为节点划分为疫情前(2012.1-2020.11)和疫情后(2020.12-2022.12)进行比较,使用中断时间序列方法分析各国疫情前后的SAFR趋势(短期波动和长期趋势)是否发生变化,使用秩和检验分析疫情前SAFR、人均GDP、公共卫生和社会措施(public health and social measures,PHSM)和失业率是否与SAFR趋势变化有关。结果疫情后28个国家中19个国家的SAFR出现短期下降,随后反弹。对于长期趋势,2个国家由下降趋势转为上升趋势,8个国家由上升趋势转为下降趋势,6个国家的SAFR保持不变。SAFR变化率下降主要集中在部分中欧国家以及地中海西岸的国家,而SAFR变化率增加的国家主要分布在北欧以及西欧地区。SAFR无短期波动的国家疫情前的SAFR低于有短期波动的国家(P=0.041),SAFR变化率下降国家的疫情前SAFR(P=0.005)与人均GDP(P=0.027)均低于SAFR变化率上升国家。未发现SAFR短期波动或长期趋势与PHSM严重程度指数或失业率存在关联。结论COVID-19疫情对28个国家的SAFR造成了不同的短期和长期影响,特别是经济水平和疫情前SAFR相对较低的国家可能更易遭到进一步打击。COVID-19疫情对各国人口的更长期影响值得进一步关注。
基金the Researchers Supporting Project number,King Saud University,Riyadh,Saudi Arabia,No.RSPD2024R919.
文摘BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological well-being.However,few studies have examined those who recovered from coronavirus disease 2019(COVID-19).There is a paucity of data from the Middle East assessing the post-ICU discharge mental health status of patients who had COVID-19.AIM To evaluate anxiety and depression among patients who had severe COVID-19.METHODS This is a prospective single-center follow-up questionnaire-based study of adults who were admitted to the ICU or under ICU consultation for>24 h for COVID-19.Eligible patients were contacted via telephone.The patient’s anxiety and depression six months after ICU discharge were assessed using the Hospital Anxiety and Depression Scale(HADS).The primary outcome was the mean HADS score.The secondary outcomes were risk factors of anxiety and/or depression.RESULTS Patients who were admitted to the ICU because of COVID-19 were screened(n=518).Of these,48 completed the questionnaires.The mean age was 56.3±17.2 years.Thirty patients(62.5%)were male.The main comorbidities were endocrine(n=24,50%)and cardiovascular(n=21,43.8%)diseases.The mean overall HADS score for anxiety and depression at 6 months post-ICU discharge was 11.4(SD±8.5).A HADS score of>7 for anxiety and depression was detected in 15 patients(30%)and 18 patients(36%),respectively.Results from the multivariable ordered logistic regression demonstrated that vasopressor use was associated with the development of anxiety and depression[odds ratio(OR)39.06,95% confidence interval:1.309-1165.8;P<0.05].CONCLUSION Six months after ICU discharge,30% of patients who had COVID-19 demonstrated a HADS score that confirmed anxiety and depression.To compare the psychological status of patients following an ICU admission(with vs without COVID-19),further studies are warranted.
基金Supported by University of Edinburgh Hepatology Laboratory Internal Fundingthe Liver Endowment Funds of the Edinburgh&Lothian Health Foundation.
文摘BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD),characterised by hepatic lipid accumulation,causes inflammation and oxidative stress accompanied by cell damage and fibrosis.Liver injury(LI)is also frequently reported in patients hospitalised with coronavirus disease 2019(COVID-19),while preexisting MASLD increases the risk of LI and the development of COVID-19-associated cholangiopathy.Mechanisms of injury at the cellular level remain unclear,but it may be significant that severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)which causes COVID-19,uses angiotensin-converting expression enzyme 2(ACE2),a key regulator of the‘anti-inflammatory’arm of the renin-angiotensin system,for viral attachment and host cell invasion.AIM To determine if hepatic ACE2 levels are altered during progression of MASLD and in patients who died with severe COVID-19.METHODS ACE2 protein levels and localisation,and histological fibrosis and lipid droplet accumulation as markers of MASLD were determined in formalin-fixed liver tissue sections across the MASLD pathological spectrum(isolated hepatocellular steatosis,metabolic dysfunction-associated steatohepatitis(MASH)+/-fibrosis,end-stage cirrhosis)and in post-mortem tissues from patients who had died with severe COVID-19,using ACE2 immunohistochemistry and haematoxylin and eosin and picrosirius red staining of total collagen and lipid droplet areas,followed by quantification using machine learning-based image pixel classifiers.RESULTS ACE2 staining is primarily intracellular and concentrated in the cytoplasm of centrilobular hepatocytes and apical membranes of bile duct cholangiocytes.Strikingly,ACE2 protein levels are elevated in non-fibrotic MASH compared to healthy controls but not in the progression to MASH with fibrosis and in cirrhosis.ACE2 protein levels and histological fibrosis are not associated,but ACE2 and liver lipid droplet content are significantly correlated across the MASLD spectrum.Hepatic ACE2 levels are also increased in COVID-19 patients,especially those showing evidence of LI,but are not correlated with the presence of SARS-CoV-2 virus in the liver.However,there is a clear association between the hepatic lipid droplet content and the presence of the virus,suggesting a possible functional link.CONCLUSION Hepatic ACE2 levels were elevated in nonfibrotic MASH and COVID-19 patients with LI,while lipid accumulation may promote intra-hepatic SARS-CoV-2 replication,accelerating MASLD progression and COVID-19-mediated liver damage.
基金the National Natural Science Foundation of China(82103662).
文摘Background:Solid organ transplant(SOT)activities,such as liver transplant,have been greatly influenced by the pandemic of coronavirus disease 2019(COVID-19),a disease caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Immunosuppressed individuals of liver transplant recipients(LTRs)tend to have a high risk of COVID-19 infection and related complications.Therefore,COVID-19 vaccination has been recommended to be administered as early as possible in LTRs.Data sources:The keywords“liver transplant”,“SARS-CoV-2”,and“vaccine”were used to retrieve articles published in PubMed.Results:The antibody response following the 1st and 2nd doses of vaccination was disappointingly low,and the immune responses among LTRs remarkably improved after the 3rd or 4th dose of vaccination.Although the 3rd or 4th dose of COVID-19 vaccine increased the antibody titer,a proportion of patients remained unresponsive.Furthermore,recent studies showed that SARS-CoV-2 vaccine could trigger adverse events in LTRs,including allograft rejection and liver injury.Conclusions:This review provides the recently reported data on the antibody response of LTRs following various doses of vaccine,risk factors for poor serological response and adverse events after vaccination.
基金National Key Research and Development Program of China(2022YFC2303700,2021YFC2301300)Yunnan Key Research and Development Program(202303AC100026)+2 种基金National Natural Science Foundation of China(82302002,82341069)Yunnan Fundamental Research Project(202201AS070047)Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0490000)。
文摘The distribution of the immune system throughout the body complicates in vitro assessments of coronavirus disease 2019(COVID-19)immunobiology,often resulting in a lack of reproducibility when extrapolated to the whole organism.Consequently,developing animal models is imperative for a comprehensive understanding of the pathology and immunology of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection.This review summarizes current progress related to COVID-19 animal models,including non-human primates(NHPs),mice,and hamsters,with a focus on their roles in exploring the mechanisms of immunopathology,immune protection,and long-term effects of SARS-CoV-2 infection,as well as their application in immunoprevention and immunotherapy of SARS-CoV-2 infection.Differences among these animal models and their specific applications are also highlighted,as no single model can fully encapsulate all aspects of COVID-19.To effectively address the challenges posed by COVID-19,it is essential to select appropriate animal models that can accurately replicate both fatal and non-fatal infections with varying courses and severities.Optimizing animal model libraries and associated research tools is key to resolving the global COVID-19 pandemic,serving as a robust resource for future emerging infectious diseases.
基金Supported by Scientific Research Foundation of Shanghai Municipal Health Commission of Changning District,No.20234Y038.
文摘Coronavirus disease 2019(COVID-19)is a highly infectious disease caused by a novel human coronavirus called severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Diabetes is a well-known risk factor for infectious diseases with high prevalence and increased severity.Here,we elucidated the possible factors for the increased vulnerability of diabetic patients to SARS-CoV-2 infection and the more severe COVID-19 illness.The worsened prognosis of patients with both COVID-19 and diabetes may be attributable to host receptor angiotensinconverting enzyme 2-assisted viral uptake.Moreover,insulin resistance is often associated with impaired mucosal and skin barrier integrity,resulting in microbiota dysbiosis,which increases susceptibility to viral infections.It may also be associated with higher levels of pro-inflammatory cytokines resulting from an impaired immune system in diabetics,inducing a cytokine storm and excessive inflammation.This review describes diabetes mellitus and its complications,explains the risk factors,such as disease characteristics and patient lifestyle,which may contribute to the high susceptibility of diabetic patients to COVID-19,and discusses preventive and therapeutic strategies for COVID-19-positive diabetic patients.
