Objective To evaluate the advantages of powder-liquid double-chamber bag products compared with traditional powder injection. Methods The systematic review method was used to collect the literature on powder-liquid double-chamber bag, extract common evaluation indicators, evaluate the use value of powder-liquid double-chamber bag products, and conduct a comprehensive comparison with traditional powder injection products. Results A total of 23 articles were included in the literature. The effectiveness indicators used for evaluation were the stability of the liquid medicine, the accuracy of the preparation concentration, and the residual amount of the liquid medicine; the safety indicators were the incidence of insoluble particles and the incidence of punctures and scratches. The economic indicators were preparation cost, occupied volume of preparation supplies, waste weight, hospitalization cost and incidence of blood infection. The applicability indicators were preparation time, average occupation of medical staff, packaging weight and storage and transportation volume, environmental adaptability, and ease of waste disposal. Accessibility indicators are the number of manufacturers, raw material supply capacity, and patient affordability. Through the evaluation of literature evidence, it was found that the stability and concentration accuracy of the powder-liquid double-chamber bag were higher than those of the traditional powder injection, and the domestic supply had been achieved. The double-chamber bag method can reduce the infusion reaction and shorten the preparation time of the liquid medicine. Conclusion Compared with traditional powder injectabler products, powder-liquid double-chamber bags have advantages in the dimensions of effectiveness, safety, economy, suitability and innovation, and the accessibility dimension meets the requirements.

Objective To analyze the medication rule of Traditional Chinese Medicine(TCM)in treating diabetes nephropathy(DN)and to explore the interaction between core components and key targets.Methods Based on the ancient and modern medical case cloud platform,the medication rules of TCMs and the drug pairs with the highest frequency in treating DN were summarized.Then the network pharmacology approach was utilized to analyze the pharmacodynamic material basis and mechanisms of the highest frequency-drug pairs.The potential targets were predicted by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)databases.TTD,DISGENET,and GENECARD databases were used to obtain the related targets of DN and screen out the potential targets for DN.In order to clarify the relationships between the active ingredients,the core targets,and pathways,STRING and Cytoscape 3.7.1 software were used to construct the protein-protein interaction(PPI)network and core drugs-ingredients-targets-disease interaction network,DAVID database was screened for Kyoto Encyclopedia of Genes and Gnomes(KEGG)enrichment analysis of core targets.Sybyl 2.1 software and biofilm interference verify the combined capacity between the core ingredients and key targets.Results Among 183 prescriptions,Astragali Radix had the highest use frequency and average dose,43 times and 37 g,respectively,followed by Salviae miltiorrhizae Radix and Poria cocos.To find the core combined with the highest confidence in association analysis was astragalus,salvia miltiorrhiza,and tuckahoe.Correlation analysis indicates that the core combination with the highest confidence was Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos.Network pharmacologic showed 89 potential targets and 15 key signaling pathways for the treatment of DN by the drug pair.TNF signaling pathway,Nod-like receptor signaling pathway,and MAPK signaling pathway were disease-related pathways,and IL-6,TNF,and vascular endothelial growth factor A(VEGFA)were core targets.Isorhamnetin and quercetin of the drug pair had high binding ability with IL6,the scores were 8.2 and 7.4,respectively,and the dissociation constants(KD)were 5.6×10-5 mol·L-1 and 6.8×10-5 mol·L-1,respectively.Conclusion This study preliminarily finds the prescription rule of treating DN with Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos as the core drug pair,isorhamnetin,and quercetin are probably the main active compounds of this drug pair in DN treatment,which provides a basis for clinical treatment and drug discovery of DN.

In recent years,the rapid development of medical information technology has made it critical to analyze large-scale diagnosis and therapeutic data and extract rules based on real medical environment.This has become an essential approach for marketing evaluation and regulatory decision-making of drugs and devices both domestically and internationally.Real world study(RWS),as a novel methodology for clinical evaluation of drugs in the field of drug utilization research(DUR),have presented opportunities and challenges for observational studies in assessing actual efficacy or effectiveness.However,despite being a popular methodological approach among scholars in the field,there are still limitations and deficiencies when analyzing population medication characteristics in RWS.Systematic evaluation research methods have not yet been established,leading to inadequate generation of real-world evidence(RWE).The research design,methodological pathways,evaluation indicators,confounding factors,and bias management involved in DUR based on real-world data(RWD)were reviewed in this artical with the intention of providing guidance for further exploration into DUR.

Objective To explore the value of quantitative chest CT in early diagnosis of chronic obstructive pulmonary disease(COPD).Methods The clinical data of 138 cases of COPD high-risk patients in Shanghai community and COPD high-risk respondents in outpatient clinic of Zhongshan Hospital,Fudan University from September 20,2013 to May 20,2014 were retrospectively analyzed.All high-risk participants underwent pulmonary function and chest CT examination at baseline and 1 year later.Chest CT images were imported into quantitative CT analysis software to collect quantitative CT data.These participants were divided into COPD group(n=40)and non-COPD group(n=98)based on their lung functions after 1 year.The differences in baseline lung function and quantitative CT measurements between the two groups were compared.Binary logistic regression was used to analyze the predictors of COPD in high-risk individuals after 1 year of follow-up,and the efficacy of the logistic regression model was evaluated by ROC curve.Results There were no significant differences in gender,body mass index(BMI),the percentage value of forced expiratory volume in 1 second predicted(FEV1%pred),airway wall area ratio(WA%),total airway count(TAC),and airway wall thickness(WT)between the two groups at baseline.Compared to the non-COPD group,the square root of the tracheal wall area at 10 mm from the inner circumference of the airway(Pi10),(3.43[3.30,3.54]vs 3.23[3.15,3.36],P＜0.001),and the percentage area of low attenuation regions below ﹣950 HU(LAA%﹣950),(2.06[0.32,6.29]vs 0.57[0.25,1.89],P=0.015)were significantly higher in the COPD group.The mean lung density(MLD)in the COPD group was lower than that in the non-COPD group([﹣799.89±35.62]vs[﹣783.60±43.52],P=0.038).Binary logistic regression analysis indicated that age and Pi10 were risk factors for COPD(P＜0.05),with an area under the ROC curve of 0.791(95%CI 0.714-0.868).Conclusions In the COPD high-risk population with normal lung function,patients with elevated Pi10 and LAA%﹣950 have a higher incidence of COPD one year later,suggesting that quantitative chest CT measurements such as Pi10 and LAA%﹣950 can assist clinicians in identifying early-stage COPD.

Acute lung injury/acute respiratory distress syndrome (ALI/ARDS) is characterized by diffuse alveolar injury primarily caused by an excessive inflammatory response. Regrettably, the lack of effective pharmacotherapy currently available contributes to the high mortality rate in patients with this condition. Xuebijing (XBJ), a traditional Chinese medicine recognized for its potent anti-inflammatory properties, exhibits promise as a potential therapeutic agent for ALI/ARDS. This study aimed to explore the preventive effects of XBJ on ALI and its underlying mechanism. To this end, we established an LPS-induced ALI model and treated ALI mice with XBJ. Our results demonstrated that pre-treatment with XBJ significantly alleviated lung inflammation and increased the survival rate of ALI mice by 37.5%. Moreover, XBJ substantially suppressed the production of TNF-α, IL-6, and IL-1β in the lung tissue. Subsequently, we performed a network pharmacology analysis and identified identified 109 potential target genes of XBJ that were mainly involved in multiple signaling pathways related to programmed cell death and anti-inflammatory responses. Furthermore, we found that XBJ exerted its inhibitory effect on gasdermin-E-mediated pyroptosis of lung cells by suppressing TNF-α production. Therefore, this study not only establishes the preventive efficacy of XBJ in ALI but also reveals its role in protecting alveolar epithelial cells against gasdermin-E-mediated pyroptosis by reducing TNF-α release.
Animals ; Mice ; Alveolar Epithelial Cells ; Pyroptosis ; Gasdermins ; Lipopolysaccharides/adverse effects* ; Tumor Necrosis Factor-alpha ; Acute Lung Injury/drug therapy* ; Respiratory Distress Syndrome

Objective To evaluate the effectiveness,safety and operability of different types of pre-hospital topical hemostatic dressings given the limited clinical evidence of pre-hospital topical hemostatic dressings so as to provide reference for the subsequent establishment of a comprehensive index system.Methods A systematic review method was used to sift through and summarize the evaluation indexes of zeolite,kaolin and chitosan.Results Fifteen studies were included,only one of which was randomized controlled trial(RCT)study,and the rest were descriptive studies,involving military and civilian subjects.All the three types of hemostatic dressings in the included studies had good haemostatic effects,but the amount of data was too limited to compare the haemostatic effects between different types.Except for zeolite wounds that were likely to be burned by exothermic heat,the other types caused few adverse reactions but with unclear operability.There was no data on stability and economy in the selected literature.Conclusion Considering the ideal hemostatic agent and the standard requirements of Chinese expert consensus,it is recommended that the indicators in follow-up studies include efficacy,safety,operability,stability and economy,and that preclinical animal studies be included to supplement related indicators.

Humans ; COVID-19/genetics* ; SARS-CoV-2/genetics* ; Clustered Regularly Interspaced Short Palindromic Repeats/genetics* ; CRISPR-Cas Systems/genetics* ; RNA, Viral/genetics*

Objective To perform a visual bibliometric analysis of hot spots as well as areas of Brucella disease research by searching brucellosis related literature. Methods A thematic search was conducted in the web of science core set database using Brucella disease or brucellosis as keywords to retrieve literature between January 1985 and December 2021. CiteSpace was used to visualize the countries, institutions, authors, and keywords in the retrieved relevant literatures. Results A total of 4 495 eligible articles studies were included, with the United States being the most populous country and the University of Sao Paulo being the most influential. Jilin University and Shihezi University in Xinjiang, China were relatively influential in this field. For the key words analysis, the top 3 of high-frequency words were infection, diagnosis, abortion, and in the 12 clusters formed, the clusters formed by #1, #4 were larger and the research hotspot continued. Keywords in the last five years including human brucellosis, immunity, zoonotic disease, were highlighted. Conclusion Study analysis suggested that human brucellosis with zoonosis was a research hotspot, more scholars focused on the infectious route and other exposure risks of cattle as intermediate hosts, epidemiological studies on brucellosis or will be new trends.

ICU acute respiratory distress syndrome has a high morbidity and mortality rate, and these patients usually need mechanical ventilation to maintain their respiratory function during treatment. However, improper setting of mechanical ventilation parameters may lead to ventilator-induced lung injury (VILI). In order to effectively prevent the occurrence of VILI, ARDSnet recommends the use of a protective ventilation strategy with low tidal volume and limited airway plateau pressure. However, from the perspective of ventilator energy transfer, VILI is actually the result of a combination of respiratory parameters such as tidal volume, airway pressure, and respiratory rate. The mechanical power well reflects the combined effect of the above parameters and is increasingly becoming a hot topic in clinical research. In this review paper, the definitions of mechanical energy and mechanical power were introduced, and the calculation methods of mechanical power under different respiratory modes are summarized. Moreover, the clinical studies related to mechanical power and VILI and further exploration of the safety threshold of mechanical power are reviewed. It is expected to provide new ideas for the future clinical development of personalized mechanical ventilation strategies and the effective prevention of VILI.

Objective:To investigate the clinical characteristics and prognostic factors of 2019 novel coronavirus (2019-nCoV) Omicron variant infected cases.Methods:A total of 987 coronavirus disease 2019 (COVID-19) adult imported cases admitted to Shanghai Public Health Clinical Center, Fudan University from July 1, 2021 to January 6, 2022 were recruited. The cases were divided into Omicron group (193 cases) and non-Omicron group (794 cases) according to the genotype of the virus. The clinical data, imaging examination and laboratory results of two groups were collected and compared. Chi-square test and Mann-Whitney U test were used as statistical methods. Multiple linear regression analysis was used for multiple linear regression analysis. Results:The majority of patients in Omicron group were 18 to 30 years old, accounting for 51.3%(99/193), which was higher than 31.4%(249/794) in non-Omicron group. The difference was statistically significant ( χ2=52.75, P<0.001). The proportion of mild cases in Omicron group was 88.6%(171/193), which was higher than 81.6%(648/794) in non-Omicron group. The difference was statistically significant ( χ2=5.37, P=0.021). Cases with symptoms were more common in Omicron group than those in non-Omicron group (60.1%(116/193) vs 29.1%(231/794)), and the difference was statistically significant ( χ2=65.49, P<0.001), with the main clinical manifestations of sore/itchy throat, fever and cough/expectoration. The proportion of cases with pulmonary computed tomography (CT) imaging manifestations at admission in Omicron group was 13.0%(25/193), which was lower than that in non-Omicron group (215/794, 27.1%). The difference was statistically significant ( χ2=16.83, P<0.001). The proportion of cases with 2019-nCoV IgG positive at admission was 47.7%(92/193) in Omicron group, which was lower than 61.1%(485/794) in non-Omicron group, and the difference was statistically significant ( χ2=11.51, P<0.001). The hospitalization time of Omicron group was 20.0 (16.0, 23.0) d, which was longer than that of non-Omicron group (14.0 (10.0, 22.0) d), and the difference was statistically significant ( Z=-7.42, P<0.001). Multiple linear regression analysis showed that the time of hospitalization of cases with 2019-nCoV IgG positive at admission was shorter, while that of the cases with fever in Omicron group was longer (both P<0.050). Conclusions:The main clinical characteristics of cases with Omicron variant are fever and upper respiratory symptoms. Their pulmonary CT imaging manifestations are less, and the time of hospitalization is slightly longer. The time of hospitalization and the virus clearance time in Omicron variant infected cases with 2019-nCoV IgG positive at admission and not presented with fever are both shorter.