Theory about Treatments and Morbidity Prevention of Corona Virus Disease(Covid-19)

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].

COVID-19型与非COVID-19型ARDS患者炎症反应和细胞免疫的差异性研究

目的探讨新型冠状病毒感染(COVID-19)型急性呼吸窘迫综合征(ARDS)与非COVID-19型ARDS患者炎症反应和细胞免疫的差异性。方法选取2022年1月至2023年12月郑州市第一人民医院收治的COVID-19型ARDS患者120例纳入观察组(中度89例,重度31例),根据1∶1配对原则,另选取同期其他肺部致病菌导致ARDS患者120例纳入对照组,同期健康体检者120例纳入健康组。比较三组受检者及不同病情程度COVID-19型ARDS患者血清炎性相关因子[白介素-6(IL-6)、白介素-4(IL-4)、肿瘤坏死因子-α(TNF-α)、C反应蛋白(CRP)]及细胞免疫相关因子[T细胞亚群(CD3^(+)、CD4^(+)、CD8^(+))、自然杀伤细胞(NK细胞)]水平,采用Spearman分析炎性及细胞免疫相关因子与COVID-19感染及COVID-19型ARDS患者病情严重程度的相关性,采用偏回归分析COVID-19型患者ARDS发生的影响因素。结果观察组患者血清IL-6、IL-4、TNF-α、CRP水平[(47.52±6.25)ng/L、(21.53±3.59)ng/L、(1.55±0.36)ng/L、(20.69±3.81)mg/L]明显高于对照组[(15.83±2.67)ng/L、(13.68±2.46)ng/L、(1.27±0.30)ng/L、(12.35±2.67)mg/L],且对照组明显高于健康组[(3.12±0.79)ng/L、(2.76±0.54)ng/L、(0.88±0.25)ng/L、(3.98±1.12)mg/L],差异均有统计学意义(P<0.05);观察组患者的CD3^(+)、CD4^(+)、CD8^(+)、NK细胞水平[(59.03±3.03)%、(19.56±1.04)%、(27.81±3.97)%、(22.59±3.40)%]明显低于对照组[(64.42±3.26)%、(28.10±1.91)%、(40.11±4.05)%、(35.31±3.97)%],且对照组明显低于健康组[(70.35±4.18)%、(43.38±3.06)%、(50.88±4.67)%、(40.64±4.06)%],差异均有统计学意义(P<0.05);COVID-19型ARDS重度患者的血清IL-6、IL-4、TNF-α、CRP水平[(66.58±6.10)ng/L、(30.66±5.47)ng/L、(1.92±0.45)ng/L、(28.96±3.70)mg/L]明显高于中度患者[(40.88±4.62)ng/L、(18.35±3.07)ng/L、(1.42±0.33)ng/L、(17.81±2.93)mg/L],而CD3^(+)、CD4^(+)、CD8^(+)、NK细胞水平[(52.54±4.07)%、(15.20±1.09)%、(22.13±1.81)%、(18.03±1.46)%]明显低于中度患者[(61.29±3.62)%、(21.08±1.35)%、(29.79±2.02)%、(24.18±2.25)%],差异均有统计学意义(P<0.05);Spearman分析结果显示,IL-6(r=0.675、0.609)、IL-4(r=0.632、0.614)、TNF-α(r=0.585、0.566)、CRP(r=0.619、0.587)水平与COVID-19感染及COVID-19型ARDS患者病情严重程度均呈正相关(P<0.05),CD3^(+)(r=-0.539、-0.505)、CD4^(+)(r=-0.592、-0.554)、CD8^(+)(r=-0.588、-0.570)、NK细胞(r=-0.601、-0.592)水平与COVID-19感染及COVID-19型ARDS患者病情严重程度均呈负相关(P<0.05);偏回归分析结果显示,血清IL-6、IL-4、TNF-α、CRP、CD3^(+)、CD4^(+)、CD8^(+)、NK细胞水平均是COVID-19型患者发生ARDS的危险因素(P<0.05)。结论炎症及细胞免疫相关因子表达在COVID-19型及非COVID-19型ARDS患者中存在差异性,且与COVID-19感染及COVID-19型ARDS病情严重程度均具有一定相关性,可辅助临床识别COVID-19感染,评估病情严重程度。

Dosage and utilization of dexamethasone in the management of COVID-19: A critical review

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.

Corona Virus Disease among Pregnant Women: A Systematic Scoping Review

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.

Quantum Theory and Its Effects on Novel Corona-Virus

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 [1]. 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.

Padua评分联合D-二聚体对COVID-19患者发生静脉血栓栓塞症的预测价值研究

目的Padua评分联合D-二聚体在预测新型冠状病毒感染(COVID-19)患者发生静脉血栓栓塞症(VTE)中的价值。方法收集2022年12月-2023年2月于承德医学院附属医院内科住院的COVID-19患者441例,其中VTE组195例,无VTE组246例。分析两组患者基本资料,绘制Padua评分、D-二聚体以及两者联合时预测COVID-19患者发生VTE的受试者工作特征曲线(ROC曲线),并比较三种方法曲线下面积(AUC)。应用Logistic回归分析探讨Padua评分危险分层(Padua评分≥4分)和D-二聚体水平与VTE发生风险关系。结果VTE组患者Padua评分和D-二聚体均高于无VTE组。Padua评分、D-二聚体预测COVID-19发生VTE的最佳截断值分别为4.5分和1.485μg/mL,约登指数为0.446和0.484,灵敏度为0.641和0.744,特异度为0.805和0.740,AUC为0.789和0.804,两者AUC比较差异无统计学意义(Z=0.512,P=0.609);COVID-19患者,其VTE发生风险随评分(Padua评分≥4分者)的升高而增加,随D-二聚体水平升高而增加,差异均有统计学意义(P<0.05);Padua评分联合D-二聚体预测COVID-19发生VTE的最大约登指数为0.575,灵敏度和特异度分别为0.795和0.780,AUC为0.863,较单独使用Padua评分、D-二聚体的AUC均升高,且差异均有统计学意义(Z=4.655,P<0.001和Z=3.606,P<0.001)。结论Padua评分、D-二聚体水平与COVID-19患者VTE的发生风险可能存在相关,两者联合对COVID-19患者发生VTE可能有较好的预测价值。

1例危重型COVID-19患者的诊治经过

新型冠状病毒感染(COVID-19)是由新型冠状病毒引起的突发传染性呼吸道疾病,具有传染性强、致病率高、症状多样的特点,评估病情演变可借助临床症状、血气、化验、影像学检查等项目,早期、规范治疗极为重要。高龄、合并基础疾病的患者治疗不当时易转为危重型疾病甚至进展为肺间质纤维化病变,主要表现为急性呼吸窘迫综合征,给予适宜的抗炎、氧疗、抑制炎症风暴、营养支持、调节免疫等治疗可有效提高救治成功率。

逆转“白肺”——重症COVID-19的治疗及思考

新型冠状病毒感染(COVID-19)近期在我国全国范围大流行。本文报道了1例重症COVID-19感染患者的救治过程,以期为临床治疗重症COVID-19患者提供相关诊疗思路。本文对治疗过程中遇到的问题进行了总结与探讨:针对抗炎药物的选择及应用,介绍了糖皮质激素甲泼尼龙、托珠单抗、巴瑞替尼的应用;针对抗炎和抗感染治疗过程中的注意事项,介绍了COVID-19患者的自然病程可以分为3个阶段,不同时间段进行抗炎和抗感染治疗应有不同的侧重;针对患者D-二聚体迅速升高,分析了重症COVID-19患者凝血异常的原因,并探讨了抗凝治疗方案。COVID-19可通过炎症风暴累及全身多个系统/器官,临床医师应广泛借鉴国内外治疗经验,及时采取适当措施予以施治,以提高救治成功率。

Multi-label Emotion Classification of COVID–19 Tweets with Deep Learning and Topic Modelling

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.

妊娠期接种COVID-19疫苗对妊娠结局影响的研究进展

新型冠状病毒肺炎(corona virus disease 2019,COVID-19)是一种以呼吸道症状为主的急性传染病,迄今尚无特效的治疗方法。除一般的预防措施外,接种疫苗是一种安全、有效的措施。然而,由于孕产妇及哺乳期妇女的群体特殊性,对COVID-19疫苗的安全性和有效性存在疑虑,导致COVID-19疫苗的接种率低,相关数据相对缺乏。但随着妊娠期发生的一系列生理变化,孕妇更容易感染新型冠状病毒,不良妊娠结局发生风险也随之增加。因此,总结COVID-19疫苗在孕产妇中的安全性及有效性证据十分必要,为后续开展相关研究以及COVID-19疫苗的安全性评价提供参考。

新冠病毒疫苗接种对肺功能的保护作用及早期新冠肺炎的影响

目的探讨新冠病毒疫苗接种对新冠病毒感染患者肺功能的影响以及新冠病毒疫苗接种对感染患者的保护作用。方法选取2023年1月7日至2023年2月7日期间在复旦大学附属中山医院完成肺功能检查的1178例门诊及住院新冠感染患者,按照是否患有新冠肺炎分为两组,完成“新冠感染症状及肺功能相关调查表”,同时采集患者疫苗接种情况、临床症状、肺通气功能、弥散功能和呼出气一氧化氮结果(fractional exhaled nitric oxide,FeNO)等临床资料,通过χ^(2)检验、Pearson相关性分析、单因素及多因素Logistic回归模型等方法分析接种和未接种新冠病毒疫苗患者肺功能的差异,并验证新冠病毒疫苗对新冠肺炎、新冠感染相关症状的保护作用。结果未接种新冠病毒疫苗的新冠感染患者通气及弥散肺功能较接种患者下降明显(P<0.05)。未接种过新冠病毒疫苗、有既往慢性病史的患者更容易发生新冠肺炎,二针/三针疫苗接种可以减少新冠肺炎的发生率(P<0.05),而接种一针无明显保护作用;既往慢性病病史患者,如发生新冠感染,容易出现严重症状,而接种新冠病毒疫苗可以减轻包括慢性病患者在内的新冠相关严重症状。结论新冠病毒感染可以造成患者肺通气及弥散功能下降,二针/三针新冠病毒疫苗的接种可能减轻新冠病毒感染对肺功能的损伤,减少新冠肺炎及严重症状的发生,完整的新冠病毒疫苗接种可能具有保护作用。

“润肺止咳方”干预新型冠状病毒感染后咳嗽的回顾性分析

目的:评价2022年冬季北京大学第三医院“润肺止咳方”治疗新型冠状病毒感染后咳嗽患者的临床疗效。方法:回顾性收集2022年12月15日至2023年1月5日北京大学第三医院中医科门诊收治的新型冠状病毒感染后咳嗽患者108例,其中包括观察组68例和对照组40例。观察组给予“润肺止咳方”治疗,对照组对为未采用中医治疗的新型冠状病毒感染后咳嗽的临床患者,但可能有西医对症治疗。收集患者的基本资料、中医证候和用药情况,比较2组患者的体温复常时间、核酸转阴时间以及临床疗效。结果:与对照组比较,观察组的体温复常时间和核酸转阴时间差异无统计学意义(P=0.892,P=0.967)。观察组的临床治愈率为52.9%(36/68)、总有效率为88.2%(60/68),显著优于对照组的临床治愈率12.5%(5/40)、总有效率47.5%(19/40)(均P<0.01)。结论:北京大学第三医院“润肺止咳方”可改善新型冠状病毒感染患者的咳嗽症状,提高了中医治疗新型冠状病毒咳嗽后遗症的有效率和治愈率。

“双一流”大学图书馆应急服务研究——以新冠肺炎疫情流行期间为例

在对“双一流”大学图书馆应急服务进行文献研究的基础上,对42所“双一流”大学图书馆应对新型冠状病毒肺炎(COVID-19)疫情开展的应急服务进行调研,包括疫情响应时间、疫情期间纸质与电子资源使用、新冠肺炎专题信息服务等方面。在调研的基础上,剖析大学图书馆在重大公共安全事件中的定位与作用,并针对大学图书馆应急服务与管理提出意见与建议。

基于宏微观多尺度建模的校园疫情演化仿真研究

校园师生人群聚集密度高,是疫情防控的重点和难点。基于现有宏微观尺度的研究,提出使用多尺度建模仿真分析校园内新冠疫情的演化趋势和防控方案的绩效。宏观建模采用易感-潜伏-传染-恢复(SEIR)模型,输出无症状患者和有症状患者数量随时间变化的曲线,研究疫情演化趋势;微观建模采用离散事件建模仿真和基于智能体建模,对个体学生的在校行为和疫情演化进行微观仿真,模拟新冠病毒在校园内的人传人过程。并通过案例研究,验证错峰上学、核酸检测“每天一检”并隔离阳性患者方案的有效性,通过对参数的灵敏度分析识别关键参数。结果表明,多尺度疫情建模仿真方法,从不同的角度和层级揭示了校园疫情的演化过程,可为校方优化防疫方案提供参考。

新冠病毒轻型感染对献血者血液学指标及捐献单采血小板适宜性的影响

目的:通过对新冠病毒Omicron变异株轻型感染献血者血液学指标的变化分析,探讨新冠病毒轻型感染对成人血液学指标的影响,进而评估其对捐献单采血小板适宜性的影响。方法:以2022年12月-2023年1月期间出现新冠病毒轻型感染症状、连续捐献单采血小板3次的72例献血者(其中阳性组42例,疑似感染组30例)和2022年10月-11月期间未接种新冠疫苗、未感染新冠病毒、连续捐献3次单采血小板的42例献血者(对照组)为研究对象,通过重复测量方差分析法回顾性比较阳性组和疑似感染组出现症状前(Time1)后(Time2和Time3)及对照组连续3次(Time1、Time2、Time3)的血常规变化,并采用贝叶斯判别法建立近期是否感染新冠病毒的判别方程式。结果:阳性组和疑似感染组组内测量次数的简单效应显著(F_(阳性组)=6.98,P<0.001,偏η^(2)=0.79;F_(疑似感染组)=4.31,P<0.001,偏η^(2)=0.70);阳性组、疑似感染组Time2与Time1、Time3血常规指标相比较,RBC、HCT、HGB降低,PLT与PCT明显升高(P<0.05),阳性组、疑似感染组Time3的RDW-CV、RDW-SD与Time1、Time2相比均明显升高(P<0.001)。对照组组内测量次数简单效应不显著(F=0.96,P=0.55,偏η^(2)=0.34);组内3次血常规指标差异无统计学意义(P>0.05)。建立“近期是否感染新冠病毒”的判别方程式,方程特征值是0.22,典型相关性为0.43(χ^(2)=27.81,P<0.001),分析正确率为72.9%。结论:新冠病毒轻型感染献血者血液学指标中RBC、HCT、HGB、PLT、PCT、RDW-CV和RDW-SD呈动态变化,近期是否感染新冠病毒的判别方程式有较高的准确率。

上海市某方舱医院2897例新型冠状病毒Omicron变异株轻型/无症状感染者住院时间影响因素分析

目的探讨上海市某方舱医院新型冠状病毒奥密克戎(Omicron)变异株轻型/无症状感染者住院时间的影响因素。方法回顾性收集上海宝山泾灿路(罗泾京东)方舱医院收治的2897例Omicron变异株轻型/无症状感染者的病历资料,分析其一般资料、住院时间等基本情况,探究不同特征的新冠病毒Omicron变异株感染者住院时间差异,采用多重线性回归方法分析住院时间的影响因素。根据单因素分析结果,采用二元logistic回归分析住院时间≥14 d可能的影响因素。结果2897例Omicron变异株轻型/无症状感染者的平均住院时间为(9.1±4.6)d,不同年龄段、入舱前核酸阳性时间以及伴有咳嗽、咳痰、咽痛、发热、流涕、鼻塞、口干咽燥、头痛、乏力、肌痛、腹泻、恶寒、恶心呕吐、头晕症状的感染者住院时间不同,差异具有统计学意义(P<0.05)。多重线性回归结果显示,年龄增加、患有糖尿病史以及咽痛、发热、流涕、肌痛症状会增加住院天数,而入舱前核酸阳性时间长则会减少住院天数。住院时间≥14 d者,高龄、糖尿病史以及出现咽痛、发热、口干咽燥、肌痛、恶心呕吐症状的占比更高,入舱前核酸阳性时间相对更短,接种2针及以上疫苗占比更低,差异具有统计学意义(P<0.05)。二元Logistic回归结果显示,高龄、入舱前核酸阳性时间短、糖尿病史以及发热和口干咽燥症状可能是导致住院时间超过14 d的危险因素,接种2针及以上疫苗可能是保护因素。结论Omicron变异株轻型/无症状感染者平均住院时间约为9 d,高龄、疫苗接种2针及以上、患有糖尿病史、入舱前核酸阳性时间短以及咽痛、发热、流涕、口干咽燥、肌痛等正气虚衰、病邪入里、化热伤阴表现对于住院时间可能产生重要影响。通过尽早识别核酸转阴慢、住院时间长的高危患者,以期为缩短核酸转阴时间、指导重点人群精准防控提供指导方向。

5例COVID-19危重病人应用无创呼吸机联合俯卧位通气治疗的护理

总结5例新型冠状病毒肺炎(COVID-19)危重病人应用无创呼吸机联合俯卧位通气治疗的护理。提示护理人员应加强俯卧位翻身前的准备、翻身过程中生命体征的观察、体位管理、并发症的预防、血气分析监测、无创通气护理等,护理过程中应注意防护,做好消毒隔离工作。

李飞针灸治疗“长新冠”后失眠经验

总结李飞教授针灸治疗“长新冠”(新冠感染恢复后遗留的并发症、后遗症)后失眠经验。李飞教授认为,“长新冠”后失眠患者,其病机关键在脾,病位涉及脾、心、肾、肝,病性多以虚为主。针灸以健脾祛湿、通调阴阳为治疗原则,强调行针手法的应用,如:捻转补法足三里,补脾益气,捻转泻法神门,宁心安神,并通过隔附子饼灸足三里、中脘、关元穴,温补脾阳,强气血生化之源;采用“百会-神门-三阴交”“印堂-中脘-足三里”等三才穴组,沟通上下、调和气血;协同使用补母泻子法、通调任督法,补虚泻实,通调全身阴阳。在临床取得较满意疗效。

血管紧张素转化酶抑制剂治疗高血压的文献计量学分析

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。

基于加权平均樽海鞘群算法和BP神经网络的COVID-19预测

新型冠状病毒肺炎以其高传染性和高致病性成为全球关注的问题之一.有效预测COVID-19的累计确诊人数对COVID-19的防控具有重要价值.本文提出加权平均樽海鞘群算法(AVSSA),通过23个基准函数验证了AVSSA的有效性,进而利用AVSSA优化BP神经网络建立预测模型AVSSA-BP,实现COVID-19的预测.实验结果表明预测模型AVSSA-BP有最小的误差和最高的确定性系数,验证了AVSSA-BP的有效性.