Corona virus is an enveloped virus from the category of RNA viruses.The patients are suffering from fever,cough,shortness of breath,and no definitive treatment or vaccine is currently available.The viral disease is gr...Corona virus is an enveloped virus from the category of RNA viruses.The patients are suffering from fever,cough,shortness of breath,and no definitive treatment or vaccine is currently available.The viral disease is gradually self-limiting due to the production of antibodies in the body.CDC has developed a new laboratory test kit for use in testing patient specimens for severe acute respiratory syndrome coronavirus,the virus that causes COVID-19.The test kit is called the Centers for Disease Control and Prevention(CDC)2019-Novel Coronavirus(2019-nCoV)Real-Time Reverse Transcriptase(RT)-PCR Diagnostic Panel.It seems traditional medicine would be usefulness to helping treatment of corona cuvid-19 patients too.It might be other screening distinguishes rapid tests with high detection limit by designing chines scientists are available[1-12].展开更多
BACKGROUND The severe respiratory manifestations observed in severe coronavirus disease 2019(COVID-19)cases are often associated with an excessive inflammatory response.Dexamethasone,a synthetic glucocorticoid,exerts ...BACKGROUND The severe respiratory manifestations observed in severe coronavirus disease 2019(COVID-19)cases are often associated with an excessive inflammatory response.Dexamethasone,a synthetic glucocorticoid,exerts its anti-inflammatory effects by inhibiting the transcription of pro-inflammatory genes and suppressing the activity of various immune cells.This mechanism has implications for mitigating the cytokine storm observed in severe COVID-19 cases.Early on in the pandemic,the Recovery Collaborative working group showed a mortality benefit of using dexamethasone in decreasing mortality in patients with COVID-19 requiring respiratory support.However,the optimal dosage of corticosteroids remains debatable.Several studies that compare different doses of dexamethasone in COVID-19 exist,but the results are conflicting.AIM To review the latest evidence regarding dosage,safety,and efficacy of dexamethasone in severe COVID-19.METHODS We followed preferred reporting items for systematic reviews and meta-analysis guidelines.A detailed literature search was conducted across PubMed,Google Scholar,and Medline to include publications up to March 2024.Our keywords included“COVID-19”“SARS-CoV-2”“dexamethasone”“corticosteroid”“steroid”and“glucocorticoid”-along with their combinations.We employed the Cochrane Risk of Bias Tool and the Newcastle-Ottawa scale to evaluate the integrity and potential of bias in the included studies.A meta-analysis was conducted using a random-effects model,assessing pooled odds ratios and mean differences,with heterogeneity gauged by the I2 statistic and theχ^(2) tests.RESULTS No statistical differences were found in 28-day all-cause mortality[pooled odds ratio(OR)=1.109,95%CI:0.918-1.340],60-day all-cause mortality(OR=0.873,95%CI:0.744-1.024;I2=47.29%),mean length of hospital stay(mean difference=-0.08 days,95%CI:-0.001 to 0.161)and adverse events(OR=0.877,95%CI:0.707-1.087).CONCLUSION Differing doses of corticosteroids have no clinical implications on mortality,mean length of hospital stay,and adverse events in COVID-19 patients.Additional research is required in patients requiring invasive or noninvasive ventilation.展开更多
Corona Virus Disease 2019 (COVID-19) is a deadly respiratory viral disease that started in China in the year 2019 before spreading to the world. It affects everybody regardless of race, religion, social economic statu...Corona Virus Disease 2019 (COVID-19) is a deadly respiratory viral disease that started in China in the year 2019 before spreading to the world. It affects everybody regardless of race, religion, social economic status or age. However, literature indicates that people with compromised immune status are at a higher risk of contracting viral infections. During pregnancy, the immune status of the woman is suppressed because it acts to protect both the mother and her unborn baby. The purpose of this study was to provide an overview of available evidence on the risk of contracting COVID-19 and COVID-19 infection prevention among pregnant women. Relevant and recent articles were identified from various databases. Article selection was aligned to the study questions. Articles that were related to study objectives were included and those not related to study objectives were excluded. A narrative report was produced and results were described according to study objectives. Approximately 8 data sources were included and most of the reviewed articles indicated that pregnant women are at a higher risk of getting COVID-19. The reviews further indicated that pregnant women can be prevented from this deadly virus by providing community antenatal services instead of visiting the health facilities. If a pregnant woman develops symptoms of respiratory infection, it is advisable to seek immediate diagnosis to rule out COVID-19 and get appropriate management to avoid complications. The selected studies’ quality was appraised through Mixed Methods Appraisal Tool (MMAT) version 2018. Knowledge on the risk of COVID-19 infection among pregnant women will help health workers especially midwives who take care of pregnant women to design confidently and put into action preventive programs to address health needs of pregnant women who are at a higher risk of contracting COVI-19 as compared to other people in the general population. This also will assist health workers to provide appropriate care to pregnant women on the basis of their COVID-19 infection risk status at health facility and community levels. This study review is also creating more awareness on the risk of COVID-19 to pregnant women even in communities. It serves as evidence to guide health policymakers to put emphasis on addressing the preventive measure of this greatly vulnerable group of population. To prevent COVID-19 infection during pregnancy, pregnant women should strictly follow the laid down measures of prevention by World Health Organisation (WHO) and their local health authorities.展开更多
Emerging infectious viral diseases are a major threat to humankind on earth, containing emerging and re-emerging pathogenic physiognomies has raised great public health concern. This study aimed at investigating the g...Emerging infectious viral diseases are a major threat to humankind on earth, containing emerging and re-emerging pathogenic physiognomies has raised great public health concern. This study aimed at investigating the global prevalence, biological and clinical characteristics of novel Corona-virus, Wuhan China (2019-nCoV), Severe Acute Respiratory Syndrome Corona-virus (SARS-CoV), and Middle East Respiratory Syndrome Corona-virus (MERS-CoV) infection outbreaks <a href="#ref1">[1]</a>. Currently, novel Corona-virus disease COVID-2019 is already pandemic and causing havoc throughout the world. Scientific community is still struggling to come out with concrete therapeutic measures against this disease and development of its vaccine is far off from sight in the immediate near future. However, humanity will be put to such pressures very often in the near future and given the present circumstances, what we can expect from the scientific world now? I think QIT (Quantum Information Theory) has an answer to this question. One of the very basic mechanisms that every infectious virus follows to infect is the entry of the virus through cell surface receptors, engulfing, un-coating of viral genome and its transcription to form multiple copies and translation to form viral proteins and coating of viral genome to form multiple copies of the viral particles and then of course the cell bursting to infect other cells. This very basic mechanism does not occur randomly but through a regulated and more dynamic process which we may call coding and decoding of information through reduction in error or noise.展开更多
The COVID-19 pandemic has become one of the severe diseases in recent years.As it majorly affects the common livelihood of people across the universe,it is essential for administrators and healthcare professionals to ...The COVID-19 pandemic has become one of the severe diseases in recent years.As it majorly affects the common livelihood of people across the universe,it is essential for administrators and healthcare professionals to be aware of the views of the community so as to monitor the severity of the spread of the outbreak.The public opinions are been shared enormously in microblogging med-ia like twitter and is considered as one of the popular sources to collect public opinions in any topic like politics,sports,entertainment etc.,This work presents a combination of Intensity Based Emotion Classification Convolution Neural Net-work(IBEC-CNN)model and Non-negative Matrix Factorization(NMF)for detecting and analyzing the different topics discussed in the COVID-19 tweets as well the intensity of the emotional content of those tweets.The topics were identified using NMF and the emotions are classified using pretrained IBEC-CNN,based on predefined intensity scores.The research aimed at identifying the emotions in the Indian tweets related to COVID-19 and producing a list of topics discussed by the users during the COVID-19 pandemic.Using the Twitter Application Programming Interface(Twitter API),huge numbers of COVID-19 tweets are retrieved during January and July 2020.The extracted tweets are ana-lyzed for emotions fear,joy,sadness and trust with proposed Intensity Based Emotion Classification Convolution Neural Network(IBEC-CNN)model which is pretrained.The classified tweets are given an intensity score varies from 1 to 3,with 1 being low intensity for the emotion,2 being the moderate and 3 being the high intensity.To identify the topics in the tweets and the themes of those topics,Non-negative Matrix Factorization(NMF)has been employed.Analysis of emotions of COVID-19 tweets has identified,that the count of positive tweets is more than that of count of negative tweets during the period considered and the negative tweets related to COVID-19 is less than 5%.Also,more than 75%nega-tive tweets expressed sadness,fear are of low intensity.A qualitative analysis has also been conducted and the topics detected are grouped into themes such as eco-nomic impacts,case reports,treatments,entertainment and vaccination.The results of analysis show that the issues related to the pandemic are expressed dif-ferent emotions in twitter which helps in interpreting the public insights during the pandemic and these results are beneficial for planning the dissemination of factual health statistics to build the trust of the people.The performance comparison shows that the proposed IBEC-CNN model outperforms the conventional models and achieved 83.71%accuracy.The%of COVID-19 tweets that discussed the different topics vary from 7.45%to 26.43%on topics economy,Statistics on cases,Government/Politics,Entertainment,Lockdown,Treatments and Virtual Events.The least number of tweets discussed on politics/government on the other hand the tweets discussed most about treatments.展开更多
目的:通过可视化方法分析Web of Science数据库中关于血管紧张素转化酶抑制剂(ACEI)治疗高血压领域的研究热点和趋势,以期为今后研究提供方向。方法:使用Web of Science数据库进行检索,检索式为(((angiotensin converting enzyme inhibi...目的:通过可视化方法分析Web of Science数据库中关于血管紧张素转化酶抑制剂(ACEI)治疗高血压领域的研究热点和趋势,以期为今后研究提供方向。方法:使用Web of Science数据库进行检索,检索式为(((angiotensin converting enzyme inhibitors OR ACE inhibitors)OR ACEI))(Topic)AND hypertension(Topic)AND article OR review(Document Type),检索时限2010—2021年。通过GraphPad Prism 8.02软件进行发文量趋势分析;运用VOS-viewer软件进行合著分析(国家、机构)、共被引分析(作者、参考文献)和关键词共现分析。结果:共纳入4845篇文献进行分析,结果显示近12年的发文量以2018年最低(326篇),整体呈先降后升趋势;发文量最多的期刊是Hypertension(113篇,2.33%);发文量最多的国家是美国(1378篇,28.44%);发文量最多的机构是Harvard University(133篇,2.75%);被引频次位居第1位的作者是Yusuf Salim(被引频次1399次);质量较高的前10篇文献总被引频次高达2955次;将出现频次超过50次的195个关键词进行聚类分析得出4个方向:ACEI治疗高血压的作用机制、ACEI联合其他药物治疗高血压及并发症、ACEI治疗高血压的风险与预后、ACEI在肾性高血压中的应用。结论:目前美国在治疗高血压研究领域有重大影响力,研究内容包括ACEI治疗高血压的作用机制、合并用药、高血压病的转归各个方面。未来的研究趋势是ACEI药物应用于新型冠状病毒感染(COVID-19)状态下的安全性研究。展开更多
文摘Corona virus is an enveloped virus from the category of RNA viruses.The patients are suffering from fever,cough,shortness of breath,and no definitive treatment or vaccine is currently available.The viral disease is gradually self-limiting due to the production of antibodies in the body.CDC has developed a new laboratory test kit for use in testing patient specimens for severe acute respiratory syndrome coronavirus,the virus that causes COVID-19.The test kit is called the Centers for Disease Control and Prevention(CDC)2019-Novel Coronavirus(2019-nCoV)Real-Time Reverse Transcriptase(RT)-PCR Diagnostic Panel.It seems traditional medicine would be usefulness to helping treatment of corona cuvid-19 patients too.It might be other screening distinguishes rapid tests with high detection limit by designing chines scientists are available[1-12].
文摘BACKGROUND The severe respiratory manifestations observed in severe coronavirus disease 2019(COVID-19)cases are often associated with an excessive inflammatory response.Dexamethasone,a synthetic glucocorticoid,exerts its anti-inflammatory effects by inhibiting the transcription of pro-inflammatory genes and suppressing the activity of various immune cells.This mechanism has implications for mitigating the cytokine storm observed in severe COVID-19 cases.Early on in the pandemic,the Recovery Collaborative working group showed a mortality benefit of using dexamethasone in decreasing mortality in patients with COVID-19 requiring respiratory support.However,the optimal dosage of corticosteroids remains debatable.Several studies that compare different doses of dexamethasone in COVID-19 exist,but the results are conflicting.AIM To review the latest evidence regarding dosage,safety,and efficacy of dexamethasone in severe COVID-19.METHODS We followed preferred reporting items for systematic reviews and meta-analysis guidelines.A detailed literature search was conducted across PubMed,Google Scholar,and Medline to include publications up to March 2024.Our keywords included“COVID-19”“SARS-CoV-2”“dexamethasone”“corticosteroid”“steroid”and“glucocorticoid”-along with their combinations.We employed the Cochrane Risk of Bias Tool and the Newcastle-Ottawa scale to evaluate the integrity and potential of bias in the included studies.A meta-analysis was conducted using a random-effects model,assessing pooled odds ratios and mean differences,with heterogeneity gauged by the I2 statistic and theχ^(2) tests.RESULTS No statistical differences were found in 28-day all-cause mortality[pooled odds ratio(OR)=1.109,95%CI:0.918-1.340],60-day all-cause mortality(OR=0.873,95%CI:0.744-1.024;I2=47.29%),mean length of hospital stay(mean difference=-0.08 days,95%CI:-0.001 to 0.161)and adverse events(OR=0.877,95%CI:0.707-1.087).CONCLUSION Differing doses of corticosteroids have no clinical implications on mortality,mean length of hospital stay,and adverse events in COVID-19 patients.Additional research is required in patients requiring invasive or noninvasive ventilation.
文摘Corona Virus Disease 2019 (COVID-19) is a deadly respiratory viral disease that started in China in the year 2019 before spreading to the world. It affects everybody regardless of race, religion, social economic status or age. However, literature indicates that people with compromised immune status are at a higher risk of contracting viral infections. During pregnancy, the immune status of the woman is suppressed because it acts to protect both the mother and her unborn baby. The purpose of this study was to provide an overview of available evidence on the risk of contracting COVID-19 and COVID-19 infection prevention among pregnant women. Relevant and recent articles were identified from various databases. Article selection was aligned to the study questions. Articles that were related to study objectives were included and those not related to study objectives were excluded. A narrative report was produced and results were described according to study objectives. Approximately 8 data sources were included and most of the reviewed articles indicated that pregnant women are at a higher risk of getting COVID-19. The reviews further indicated that pregnant women can be prevented from this deadly virus by providing community antenatal services instead of visiting the health facilities. If a pregnant woman develops symptoms of respiratory infection, it is advisable to seek immediate diagnosis to rule out COVID-19 and get appropriate management to avoid complications. The selected studies’ quality was appraised through Mixed Methods Appraisal Tool (MMAT) version 2018. Knowledge on the risk of COVID-19 infection among pregnant women will help health workers especially midwives who take care of pregnant women to design confidently and put into action preventive programs to address health needs of pregnant women who are at a higher risk of contracting COVI-19 as compared to other people in the general population. This also will assist health workers to provide appropriate care to pregnant women on the basis of their COVID-19 infection risk status at health facility and community levels. This study review is also creating more awareness on the risk of COVID-19 to pregnant women even in communities. It serves as evidence to guide health policymakers to put emphasis on addressing the preventive measure of this greatly vulnerable group of population. To prevent COVID-19 infection during pregnancy, pregnant women should strictly follow the laid down measures of prevention by World Health Organisation (WHO) and their local health authorities.
文摘Emerging infectious viral diseases are a major threat to humankind on earth, containing emerging and re-emerging pathogenic physiognomies has raised great public health concern. This study aimed at investigating the global prevalence, biological and clinical characteristics of novel Corona-virus, Wuhan China (2019-nCoV), Severe Acute Respiratory Syndrome Corona-virus (SARS-CoV), and Middle East Respiratory Syndrome Corona-virus (MERS-CoV) infection outbreaks <a href="#ref1">[1]</a>. Currently, novel Corona-virus disease COVID-2019 is already pandemic and causing havoc throughout the world. Scientific community is still struggling to come out with concrete therapeutic measures against this disease and development of its vaccine is far off from sight in the immediate near future. However, humanity will be put to such pressures very often in the near future and given the present circumstances, what we can expect from the scientific world now? I think QIT (Quantum Information Theory) has an answer to this question. One of the very basic mechanisms that every infectious virus follows to infect is the entry of the virus through cell surface receptors, engulfing, un-coating of viral genome and its transcription to form multiple copies and translation to form viral proteins and coating of viral genome to form multiple copies of the viral particles and then of course the cell bursting to infect other cells. This very basic mechanism does not occur randomly but through a regulated and more dynamic process which we may call coding and decoding of information through reduction in error or noise.
文摘The COVID-19 pandemic has become one of the severe diseases in recent years.As it majorly affects the common livelihood of people across the universe,it is essential for administrators and healthcare professionals to be aware of the views of the community so as to monitor the severity of the spread of the outbreak.The public opinions are been shared enormously in microblogging med-ia like twitter and is considered as one of the popular sources to collect public opinions in any topic like politics,sports,entertainment etc.,This work presents a combination of Intensity Based Emotion Classification Convolution Neural Net-work(IBEC-CNN)model and Non-negative Matrix Factorization(NMF)for detecting and analyzing the different topics discussed in the COVID-19 tweets as well the intensity of the emotional content of those tweets.The topics were identified using NMF and the emotions are classified using pretrained IBEC-CNN,based on predefined intensity scores.The research aimed at identifying the emotions in the Indian tweets related to COVID-19 and producing a list of topics discussed by the users during the COVID-19 pandemic.Using the Twitter Application Programming Interface(Twitter API),huge numbers of COVID-19 tweets are retrieved during January and July 2020.The extracted tweets are ana-lyzed for emotions fear,joy,sadness and trust with proposed Intensity Based Emotion Classification Convolution Neural Network(IBEC-CNN)model which is pretrained.The classified tweets are given an intensity score varies from 1 to 3,with 1 being low intensity for the emotion,2 being the moderate and 3 being the high intensity.To identify the topics in the tweets and the themes of those topics,Non-negative Matrix Factorization(NMF)has been employed.Analysis of emotions of COVID-19 tweets has identified,that the count of positive tweets is more than that of count of negative tweets during the period considered and the negative tweets related to COVID-19 is less than 5%.Also,more than 75%nega-tive tweets expressed sadness,fear are of low intensity.A qualitative analysis has also been conducted and the topics detected are grouped into themes such as eco-nomic impacts,case reports,treatments,entertainment and vaccination.The results of analysis show that the issues related to the pandemic are expressed dif-ferent emotions in twitter which helps in interpreting the public insights during the pandemic and these results are beneficial for planning the dissemination of factual health statistics to build the trust of the people.The performance comparison shows that the proposed IBEC-CNN model outperforms the conventional models and achieved 83.71%accuracy.The%of COVID-19 tweets that discussed the different topics vary from 7.45%to 26.43%on topics economy,Statistics on cases,Government/Politics,Entertainment,Lockdown,Treatments and Virtual Events.The least number of tweets discussed on politics/government on the other hand the tweets discussed most about treatments.