A Comparative Study of Myocardial Damage Caused by Novel Coronavirus Infection and Influenza A Virus Infection in Children during the COVID-19 Epidemic Period

Objective: To explore the comparative study of myocardial damage in children infected with COVID-19 and influenza A virus during the COVID-19 pandemic. Method: Retrospective analysis of myocardial injury caused by COVID-19 infection and influenza A virus infection in children during the COVID-19 from October 2022 to May 2023, including 106 cases of COVID-19 infection, that is, the COVID-19 group;And 164 cases of influenza A virus infection, namely, H1N1 group;Two groups were tested for various indicators of myocardial enzyme spectrum, and the situation of myocardial injury was compared between the two groups. Result: In the enrolled cases, there was no statistically significant difference in the prevalence rate of men and women in the COVID-19 group (P > 0.05);There was no statistically significant difference in the average age between men and women (P > 0.05);The comparison of the incidence rates between males and females in the H1N1 group showed a statistically significant difference (P 0.05);There was no statistically significant difference in the average age between the two groups of girls (P > 0.05). A comparison between two groups of various indicators of myocardial enzyme spectra showed that the results of AST, -HBDH and LDH were statistically significant (P 0.05). Conclusion: Both COVID-19 infection and influenza A virus infection in children have different degrees of myocardial damage, but COVID-19 infection causes more myocardial damage than influenza A virus infection, and influenza A virus is more prone to myocardial infarction, which deserves our attention.

Risk factors and strategies for prevention of depression, anxiety and eating disorders among adolescents during the coronavirus disease 2019 (COVID-19) pandemic: a review

The purpose of this review is to identify prevalent trends and risk factors in depression,anxiety,and eating disorders in the adolescent population in the post coronavirus disease 2019(COvID-19)scenario.We examined the literature published on adolescent mental health since the COVID-19 pandemic.We chose to summarize studies published from 2019 to 2022,using bibliographic search tools.We developed criteria for selecting articles for our review using diagnostic indicators and keywords.Mental health conditions such as depression,anxiety and eating disorders are commonly prevalent in this population and have shown increasing rates in the past three years.Some risk factors associated with these diagnoses include reduction in social interaction,increased workloads,routine shifts,sleep quality,social media usage and parental involvement.Routines,sleep cycles,physical activity,and social media should all be considered as a part of prevention in this population.Approaches that seem to be successful include maintaining social ties and avoiding negative social media usage with harmful content.Increased global public awareness,as well as parental awareness,through media campaigns,is critical to slowing the spread of mental health challenges in adolescents and teenagers in the post-COvID-19 era.

Huu S. TIEU’s Predicting Outcome of Severe Acute Respiratory Syndrome (SARS) and Preparing the Treatment for COVID-19 (Coronavirus) and Other Viral Pandemics

This project paper is to give a prediction for the future of other viral pandemics and to provide recommendations for preparing therapies that could help in the success of effective treatments and benefits for patients in life-threatening situations. The theory of prediction was proposed by Huu S. TIEU on March 25, 2019, and he hypothesized that any malfunctioning cell in the body could have a damaging effect. This paper discusses the prediction that Localized Oxygen Deprivation could be a contributing factor for a future epidemic or other viral pandemics that could affect body function. This paper is based on opinion and does not have sufficient evidence to support the claims made. Therefore, further in-depth study is needed to prove the findings. The author cites Hypoxia to support his idea, but he is not claiming that Hypoxia-Inducible Factor (HIF) has worked on his predictions. The author also tested a theory using cow blood curd for body function, but this test was not a structured test and the findings were not supported by other evidence. To further prove the idea or theory, further study into the subject should be conducted.

Hepatobiliary system and intestinal injury in new coronavirus infection(COVID-19):A retrospective study

BACKGROUND An important area of effective control of the coronavirus disease 19(COVID-19)pandemic is the study of the pathogenic features of severe acute respiratory syndrome coronavirus 2 infection,including those based on assessing the state of the intestinal microbiota and permeability.AIM To study the clinical features of the new COVID-19 in patients with mild and moderate severity at the stage of hospitalization,to determine the role of hepatobiliary injury,intestinal permeability disorders,and changes in the qualitative and quantitative composition of the microbiota in the development of systemic inflammation in patients with COVID-19.METHODS The study was performed in 80 patients with COVID-19,with an average age of 45 years,19 of whom had mild disease,and 61 had moderate disease severity.The scope of the examination included traditional clinical,laboratory,biochemical,instrumental,and radiation studies,as well as original methods for studying microbiota and intestinal permeability.RESULTS The clinical course of COVID-19 was studied,and the clinical and biochemical features,manifestations of systemic inflammation,and intestinal microbiome changes in patients with mild and moderate severity were identified.Intestinal permeability characteristics against the background of COVID-19 were evaluated by measuring levels of proinflammatory cytokines,insulin,faecal calprotectin,and zonulin.CONCLUSION This study highlights the role of intestinal permeability and microbiota as the main drivers of gastroenterological manifestations and increased COVID-19 severity.

Prediction System for Diagnosis and Detection of Coronavirus Disease-2019(COVID-19):A Fuzzy-Soft Expert System

In early December 2019,a new virus named“2019 novel coronavirus(2019-nCoV)”appeared in Wuhan,China.The disease quickly spread worldwide,resulting in the COVID-19 pandemic.In the currentwork,we will propose a novel fuzzy softmodal(i.e.,fuzzy-soft expert system)for early detection of COVID-19.Themain construction of the fuzzy-soft expert systemconsists of five portions.The exploratory study includes sixty patients(i.e.,fortymales and twenty females)with symptoms similar to COVID-19 in(Nanjing Chest Hospital,Department of Respiratory,China).The proposed fuzzy-soft expert systemdepended on five symptoms of COVID-19(i.e.,shortness of breath,sore throat,cough,fever,and age).We will use the algorithm proposed by Kong et al.to detect these patients who may suffer from COVID-19.In this way,the present system is beneficial to help the physician decide if there is any patient who has COVID-19 or not.Finally,we present the comparison between the present system and the fuzzy expert system.

Global pattern and determinants of coronavirus disease 2019(COVID-19)vaccine coverage and progression:a global ecological study

Background:Understanding and minimizing existing global coronavirus disease 2019(COVID-19)vaccination disparities is critical to global population health and eliminating health inequities.The study aims to investigate the disparities of vaccination coverage and progression and the associated economic and educational determinants to inform global COVID-19 vaccination strategies.Methods:COVID-19 vaccination coverage data from 206 countries used in the study were derived from“Our World in Data”website.After obtaining the vaccination coverage indicators,we fitted the progression indicators for vaccination.Correlation and multiple linear regression analysis were used to examine the effects of gross domestic product(GDP)per capita,Gini index,education,and their interactions on the coverage and progression of the COVID-19 vaccination.Results:The coverage of COVID-19 vaccination ranged from less than 30 doses to more than 150 doses per hun­dred people,from less than 15%to more than 75%for proportion of people vaccinated,from less than 15%to more than 60%for proportion of people fully vaccinated.Similarly,the progression of vaccination ranged from less than 0.1 to more than 0.6 for progression of total number of doses,from less than 0.1 to more than 0.3 for progression of proportion of people vaccinated,and from less than 0.1 to more than 0.4 for progression of propor­tion of people fully vaccinated.GDP per capita and education were positively associated with the coverage and progression,while Gini index was negatively associated with the coverage and progression.Negative interaction between GDP per capita and education was also observed for coverage(0=-0.012 to-0.011,P<0.05)and progression(0=-0.012 to-0.011,P<0.05).Conclusions:Substantial geographic disparities existed for the coverage and progression of COVID-19 vaccination.

Diabetes Risk Factor and Its Relationship to Increasing Coronavirus (COVID-19) Mortality Rate in United States in 2019-2022: An Epidemiological Study

As an effort to understand the effect of diabetes on the increasing rate of COVID-19 infection, we embarked upon a detailed statistical analysis of various datasets that include COVID-19 infection and mortality rate, diabetes and diseases that may contribute to the severity and risk factor of diabetes in individuals and this impact on COVID-19 and the mortality rate. These diseases include respiratory diseases, cardiovascular diseases, and obesity. Equally significant is the statistical analysis on ethnicity, age, and sex on COVID-19 infection as well as mortality rate. Their possible contributions to increasing the severity and risk factor of diabetes as a risk to mortality to individuals who have COVID-19. Objectives: The ultimate objectives of this investigation are as follow: 1) Is there a risk factor of diabetes on COVID-19 infection and increasing mortality rate? 2) To what extent do other disease conditions that include, obesity, heart failure, and respiratory diseases influence the severity and risk factor of diabetes on increasing COVID-19 infection and mortality rate? 3) To what extent does age, race, and gender increase the mortality of COVID-19 and increase the severity and risk factor of diabetes on COVID-19 mortality rate? 4) How and why COVID-19 virus increases the risk of diabetes in children? 5) Diabetes and COVID-19: Who is most at Risk? Lastly, understanding the misconception of COVID-19 and diabetes.

Knowledge, Attitude, and Practice toward Coronavirus (Covid-19) among Laboratory & Nursing Students of Hadhramout University, in Mukalla City, Yemen

Background: As future healthcare providers, nursing students must have high-quality knowledge and be able to respond to rapid changes in any situation, such as the pandemic Covid-19. The condition of these students reflects the readiness of nursing students to face the increasing cases in the country. Since December 2019, coronavirus (Covid-19), a novel infectious disease that emerged, has spread worldwide, and the World Health Organization (WHO) has declared that the infection is a “pandemic” and no country or region can be considered safe. The World Health Organization declared the novel coronavirus a global health emergency (pandemic) on January 30, 2020. The novel coronavirus is a highly contagious disease, and the current outbreak has affected a large portion of the population around the world. Public health and social interventions play a critical role in reducing the number of infections and deaths until the vaccine is available to all. Objective: To determine the knowledge, attitude, and practice toward Coronavirus (Covid-19) among Laboratory & Nursing students of Hadhramout University, in Mukalla City, Yemen. Methods: This was a descriptive cross-sectional. Stratified random sampling is used in sample selection to ensure that laboratory and nursing students total of 130 (70, 60) were included in the study. The sample was randomly selected from one hundred students, 50 laboratory students, and 50 nursing students studying at Hadhramout College. Time of study from October to December 2021. Results: The statistical analysis of data collected in this study showed that the awareness of coronavirus knowledge was high, as indicated by the percentage of correct answers. 78% of the nursing students obtained the highest percentage of knowledge about coronavirus, while more than 75% of the laboratory students, relied on social media as their main source of Covid-19 information. The College of Nursing students got the highest percentage of resource information about the Coronavirus 44%. Also we reported negative attitudes in general among nursing students and laboratory students at Hadhramout University, with 31% and 35% of nursing students and laboratory students respectively. On the other hands, we noted that (39%) of nursing students received a greater percentage of practice about Coronavirus than (37%) of laboratory students. So, they had a negative practice in general. Conclusion: The present study shows that knowledge about coronavirus is high, but attitudes and practices toward coronavirus (Covid-19) among laboratory and nursing students at Hadhramout University in Mukalla, Yemen, are generally negative.

Current status and future challenges with Coronavirus(COVID-19):an update on vaccines

SARS-COV-2 coronavirus causes COVID-19,which is a respiratory disease.COVID-19,the common cold,seasonal allergies,and the flu have many similar symptoms.COVID-19 is caused by SARS-CoV-2,while rhinoviruses most often cause the common cold.The World Health Organization issued notifications on December 30,2019,and January 30,2020,classifying this viral disease as a Public Health Emergency of International Concern.SARS-CoV-2 was detected in humans and animals in 2019.Several investigations are underway to cure COVID-19 and develop a vaccine to prevent infection with SARS-CoV-2.Several COVID-19 vaccines have now been approved or licensed for human use(SII/Covishield,AstraZeneca/AZD1222,Janssen/Ad26.COV 2.S,Sinopharm,Moderna,Sinovac-CoronaVac,Covaxin).Four issues arise in the research and manufacture of the COVID-19 vaccine:production,affordability,allocation and deployment.The adenovirus-vectored and mRNA-based vaccines for COVID-19 showed the highest efficacy after the first and second doses,respectively.The mRNA-based vaccines had higher side effects.Remarkably few experienced extreme adverse effects and all stimulated robust immune responses.

The pharmacological mechanism and molecular details of Platycodon grandiflorum in the treatment of novel coronavirus Pneumonia(COVID-19)

Background:Novel coronavirus pneumonia(COVID-19)has developed as a pandemic of global concern.There is an urgent need to develop effective and safe therapies.Platycodon grandiflorum(PG),one of the most famous traditional Chinese herbs,may be satisfied.In this study,we explored the pharmacological mechanism of PG in the treatment of COVID-19.Method:The active compounds and potential targets were acquired from public databases.The protein-protein interaction,the Gene Ontology,and the Kyoto Encyclopedia of Genes and Genomes were determined through bioinformatics analysis.Molecular docking and molecular dynamics were performed to further verify the findings.Result:A total of 38 bioactive ingredients and 276 gene targets of PG were identified.There were 78 intersected targets of PG and COVID-19.The network analysis revealed that luteolin,Platycogenic acid A,Platycogenic acid C,Polygalacic acid,and acacetin may be candidate agents.The AKT1,VEGFA,TP53,MAPK3,TNF,IL6,CASP3,EGFR,STAT3,and CCND1 were the important potential drug targets.Gene Ontology terms are involved in biological processes,which are mainly concentrated in inorganic substances and apoptosis,etc.The Kyoto Encyclopedia of Genes and Genomes pathway was involved in several aspects,such as Virus infection and immune regulation-related pathways.Molecular docking results showed that compounds of PG are closely bound to related targets.Molecular dynamics further found that Robin,Flavplatycoside,and dimethyl 3-O-β-D-glucopyranosylplatycogenate A can maintain good stability and flexibility in the composite system.Conclusion:PG has multicomponent,multitarget,and multichannel characteristics,which can provide an important theoretical basis to treat patients with COVID-19.

基于CiteSpace及VOSviewer的COVID-19相关心律失常的文献计量学分析

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。

麻杏石甘汤干预COVID-19肺炎的网络药理学研究及分子对接分析

目的:运用网络药理学与分子对接研究方法探讨麻杏石甘汤干预COVID-19肺炎的作用机制。方法:经TCMSP、HTDocking数据库检索麻杏石甘汤所有药物的成分并进行ADME筛选得到活性成分,在Uniport数据库检索其发挥治疗作用可能的基因靶点;借助GeneCards、PharmGKB等数据库检索COVID-19肺炎相关基因靶点,利用Cytoscape软件构建药物-活性成分-靶基因-疾病网络;借助String系统构建PPI网络,并进行拓扑学特征分析,筛选核心基因;利用R语言的clusterProfiler包对核心基因进行GO、KEGG富集分析;利用AutoDock Vina软件对疾病靶蛋白及药物活性成分进行分子对接验证。结果:共筛选出麻杏石甘汤与COVID-19肺炎交集基因靶点67个。PPI网络分析显示,其发挥治疗作用的核心基因靶点有MAPK1、MAPK3、STAT1、JUN等8个。GO富集分析显示,相关生物过程1863个,分子功能95个,细胞成分36个;KEGG富集分析显示,相关作用通路167条。分子对接结果显示,麻杏石甘汤活性成分槲皮素、山奈酚、熊果酸等与核心基因靶点JUN、MAK1、IL2等有较好的结合活性。结论:麻杏石甘汤可能以槲皮素、山奈酚等为物质基础,多成分、多靶点、多通路、相互协同发挥抑制病毒活性,降低炎症反应,保护肺部组织,从而对COVID-19肺炎起到积极的干预作用。

低频脉冲磁场诱导TRPC1改善COVID-19患者康复期下肢的肌肉无力症状

背景:肌肉无力是新型冠状病毒(COVID-19)感染后的常见症状,影响康复期人体日常活动能力。在强度1.5 mT,频率3300 Hz的低频脉冲磁场刺激下可通过诱导和激活经典瞬时感受器电位通1(classical transient receptor potential channel 1,TRPC1),提升人体骨骼肌的最大自主收缩力与力量耐力,对肌肉组织产生一系列生理支持效应,该手段是否会改善新型冠状病毒肺炎患者康复期的肌无力症状尚无研究。目的:选用低频脉冲磁场对新型冠状病毒肺炎患者下肢肌群进行磁刺激,以观察该刺激对新型冠状病毒肺炎患者康复期下肢肌群肌无力改善的影响。方法:招募胶体金法抗原检测试剂(COVID-19)为阳性并伴有肌肉无力症状的新型冠状病毒(奥密克戎毒株)感染患者14例,将所有受试者随机分成2组,分别为接受磁场刺激的试验组和接受假治疗的对照组。试验总时长3周,试验组每隔48 h对腿部进行低频脉冲磁刺激,对照组与试验组干预流程一致但给予假刺激,两组患者均不被告知磁刺激仪器是否运行,两组患者共进行9次操作,随后观察两组患者下肢局部肌群最大自主收缩力、腿部爆发力与力量耐力的变化情况。结果与结论:①在采集的8个局部肌群中,试验组患者7个局部肌群在经过3周的低频脉冲磁场刺激,最大自主收缩力值均增长。对照组除3个肌群最大自主收缩力自行增长改善以外,其他肌群肌力无提升。②试验组的左腿前群与双腿后群提升率显著高于对照组。③两组的纵跳摸高高度与膝关节峰值角速度相比试验前测均提升,试验组摸高高度提升率高于对照组。④在疲劳状态下,试验组膝关节峰值角速度下降率显著下降,对照组膝关节峰值角速度下降率无显著性变化;试验组摸高高度下降率显著下降,而对照组摸高高度下降率无显著性变化。⑤上述数据证实,在强度1.5 mT,频率3300 Hz的低频脉冲磁场刺激方案下,新型冠状病毒肺炎患者在康复期经过3周的低频脉冲磁场刺激相比人体自愈过程可使更多的下肢局部肌群肌力获得提升,对基于腿部爆发力的全身协调发力能力及功能状态明显改善。因此,低频脉冲磁场刺激可作为一种改善新冠感染患者下肢肌肉无力症状的有效、非运动的康复手段。

COVID-19诊疗信息、中医证型分布及组方用药规律的文献研究

目的利用数据挖掘技术深入探究新型冠状病毒感染(COVID-19,简称新冠感染)患者的诊断、中医证型分布以及药物使用规律,以期为中医药治疗新冠感染提供有效的参考依据。方法通过搜索,可以获取来自国家卫生健康委员会和全国各地的《新型冠状病毒肺炎诊疗方案》内涉及的中医证型和中医药防治方案,以及中国生物医学文献服务系统、知网、维普、万方数据库收录的治疗新冠感染相关文献共249份。对文献通过筛选、整理和去重并建立中药复方数据库、诊疗信息数据库、证型数据库,运用频数分析、频率分析进行探究。结果新冠感染患者常见的症状频数较高的为咳嗽、咽干咽痛、发热、纳差、乏力;大多数患者呈淡红舌、红舌,脉象为滑脉、滑数脉;中医证型频数较高的有湿毒郁肺证、湿热蕴肺证、肺脾气虚证、寒湿郁肺证、气阴两伤证、兼夹瘀血证。此外,共纳入491首治疗新冠感染中药复方,涉及中药227味,得到高频中药共64个,药物类别以清热药、补益药、解表药、化痰止咳平喘药、化湿药为主;药性以温、平、寒为主,药味以甘、辛、苦为主,归经中归肺、脾、胃经中药居多;聚类分析结果根据中药性能将治疗新冠感染的高频药物聚为8类较好。结论中医药治疗新型冠状病毒感染用药具有以下特点:补益药用药次数较多体现攻邪不忘扶正;解表、清热、攻下、化湿、利湿、渗湿药物俱全体现多种逐邪之法;药类以清热药、补益药、化湿药、化痰止咳平喘药、解表药为主,彰显新冠感染基本治法为清热化湿、止咳平喘、补养气阴。可为指导临床用药及研发新药提供一定的参考与借鉴。

自然杀伤(NK)细胞与2019冠状病毒病(COVID-19)发生发展的研究进展

自然杀伤(NK)细胞在清除病毒,执行免疫调节方面发挥着重要的作用,它通过分泌趋化因子以及与其他天然免疫细胞协同作用,被赋予天然免疫调节功能和获得性免疫反应。随着对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染的2019冠状病毒病(COVID-19)的研究深入,发现NK细胞在其中发挥着重要作用。SARS-CoV-2感染会影响NK细胞的分布和效应功能,NK细胞的免疫应答或可影响新冠肺炎患者的预后。本文总结了近年来NK细胞在COVID-19感染中作用的研究现状,并且讨论了以NK细胞作为治疗剂的可能性,以期为防治SARS-CoV-2的免疫损害提供潜在思路。

COVID-19疫情前后28个国家生育率变化及影响因素研究:线性模型和中断时间序列分析

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。

显微镜下多血管炎相关间质性肺病合并COVID-19患者疫苗保护作用初探

目的分析显微镜下多血管炎(MPA)相关间质性肺病(ILD)患者合并新型冠状病毒肺炎(COVID-19)的临床特征,初步探究新型冠状病毒(SARS-CoV-2)疫苗的保护作用。方法纳入确诊的MPA-ILD患者,同时符合《新型冠状病毒感染诊疗方案(第十版)》制定的COVID-19诊断标准,且均有明确SARS-CoV-2抗原或核酸检测阳性证据。收集并分析患者临床资料,ILD影像学分型,SARS-CoV-2疫苗接种情况、临床分型及预后。结果共纳入37例MPA-ILD患者,女14例,男23例。32例在并发COVID-19时MPA病情处于缓解期,31例同时维持免疫抑制剂或生物制剂治疗。ILD的影像学类型以寻常型间质性肺炎(15例)和非特异性间质性肺炎(14例)为主,剩余8例分型不确定。COVID-19分型中,27例为轻症,5例因COVID-19死亡。11例未接种疫苗,26例接种SARS-CoV-2灭活疫苗,其中11例完成3剂次加强免疫。接种疫苗患者COVID-19轻症比例高于未接种疫苗组(P=0.038)。多因素分析显示接种疫苗为MPA-ILD患者合并COVID-19住院(OR=0.045,95%CI:0.004~0.472,P=0.010)及非轻症感染(OR=0.049,95%CI:0.005~0.517,P=0.012)的独立保护因素。同时MPA处于缓解期为COVID-19非轻症感染的保护因素(OR=0.021,95%CI:0.001~0.459,P=0.014)。结论接种SARS-CoV-2疫苗及MPA病情处于缓解期有可能减轻MPA患者合并COVID-19的严重程度。

全球COVID-19疫情主要预测模型比较分析

目的新冠感染病死率预测对于深入理解新冠病毒严重性、合理配置医疗资源及开展针对性防疫策略有重大意义。方法本研究依据新冠病毒变异优势株,将疫情发展划分四个时期,选取美国、印度、巴西、墨西哥、秘鲁、中国六个国家以及全球平均水平的病死率为研究对象。运用灰色模型、指数平滑模型、ARIMA模型、支持向量机、Prophet和LSTM模型六个模型进行拟合预测,探讨各模型的优缺点和适用性,选取效果最优的模型对全球和重点国家的病死率进行预测。结果模型比较显示多种模型各有优缺点,经预测,多数国家的累计确诊人数和累计死亡人数增长速度减缓,发展趋势逐渐平稳。结论传统时间序列模型适于发展趋势平稳、有限样本的预测;而机器学习模型更适用于波动型变化数据,可进行大样本预测,进一步外推,运用到其他卫生领域的研究。

系统性红斑狼疮合并COVID-19住院患者的临床特征分析

目的探讨系统性红斑狼疮(SLE)合并新型冠状病毒(SARS-CoV-2)感染住院患者的临床特点。方法选取2022年12月—2023年2月于南昌大学第一附属医院风湿免疫科就诊且确诊为COVID-19的SLE患者为研究对象,根据是否住院治疗将其分为未住院组和住院组,比较两组患者的人口学数据、临床症状和实验室检查结果。评估淋巴细胞/单核细胞(LMR)、中性粒细胞/淋巴细胞(NLR)、血小板/淋巴细胞(PLR)、系统性免疫炎症指数(SⅡ)、SⅡ/白蛋白、红细胞沉降率/淋巴细胞(ELR)和C反应蛋白/淋巴细胞(CLR)等指标对SLE合并COVID-19患者住院的影响。结果两组患者在年龄、糖皮质激素剂量、SLEDAI评分、红细胞沉降率、C反应蛋白、血小板、淋巴细胞、白蛋白、NLR、PLR、LMR、CLR、ELR、SⅡ和SⅡ/ALB等方面存在统计学差异(P<0.05)。多因素Logistic回归分析显示,CLR(OR=1.16)、糖皮质激素剂量(OR=1.11)及SLEDAI评分(OR=1.23)为SLE合并COVID-19住院患者的临床特点。ROC曲线分析显示,CLR曲线下面积(AUC)为0.751,其灵敏度为50.0%,特异度为94.0%;糖皮质激素剂量的AUC为0.778,其灵敏度为76.9%,特异度为75.9%;SLEDAI的AUC为0.754,其灵敏度为50.0%,特异度为91.6%。结论对于SLE合并COVID-19住院患者而言,较高的CLR、糖皮质激素剂量及SLEDAI评分为其临床特点。

Mental health status among COVID-19 patients survivors of critical illness in Saudi Arabia:A 6-month follow-up questionnaire study

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.