Shegan Mahuangtang was a famous classical formula for treating asthma and is included in the the Catalogue of Ancient Famous Classical Formulas（The Second Batch）. By means of bibliometrics， this study conducts a textual research and analysis on the key information of its formula origin， composition， drug origins， processing， dosage， decocting methods， efficacy， and clinical application. According to research， Shegan Mahuangtang was first recorded in Synopsis of the Golden Chamber and is the ancestral formula for treating cold asthma， which has been used to this day. Suggestions for the drug origins in Shegan Mahuangtang is as follows：Shegan is selected from the dried rhizomes of Belamcanda chinensis（Iridaceae）， Mahuang is selected from the dried herbaceous stems of Ephedra sinica（Ephedraceae）， Shengjiang is selected from the fresh rhizomes of Zingiber officinale（Zingiberaceae）， Xixin is selected from the dried roots and rhizomes of Asarum heterotropoides var. mandshuricum， A. sieboldii var. seoulense or A. sieboldii（Aristolochiaceae）， Ziwan is selected from the dried roots and rhizomes of Aster tataricus（Compositae）， Kuandonghua is selected from the dried flower buds of Tussilago farfara（Compositae）， Nanwuweizi is selected from the dried mature fruits of Schisandra sphenanthera（Magnoliaceae）， Dazao is selected from the dried mature fruit of Ziziphus jujuba（Rhamnaceae）， and Banxia， a plant of the Araceae family， is selected as the processed products of dried tubers from Pinellia ternata. The recommended dosage is 41.4 g of Shegan， Xixin， Ziwan and Kuandonghua， 55.2 g of Mahuang and Shengjiang， 37.5 g of Nanwuweizi， 21 g of Dazao， 34.5 g of Banxia. The decoction method is to boil Mahuang first in 2.4 L of water， remove the froth on the top， and add the rest of the herbs and decoct them together， and then boil them to 600 mL， and then take it at warm temperature， 200 mL each time， 3 times a day. In terms of clinical application， Shegan Mahuangtang is most commonly used for respiratory system diseases， especially in the treatment of adult or pediatric bronchial asthma and cough variant asthma. Phlegm sound in the throat is the core symptom of Shegan Mahuangtang in clinical practice， and the core pathogenesis is "cold fluid stagnated in the lungs". By excavating and sorting out the ancient and modern literature of Shegan Mahuangtang， key information is confirmed， which can provide literature reference for the modern clinical application and new drug development of this famous classical formula.

Severe pneumonia is one of the most common and critical respiratory diseases in clinical practice. It is characterized by rapid progression， difficult treatment， high mortality， and many complications， posing a significant threat to the life and health of patients. The pathogenesis of severe pneumonia is highly complex， and studies have shown that its occurrence and development are closely related to multiple signaling pathways. Currently， the treatment of severe pneumonia mainly focuses on anti-infection， mechanical ventilation， and glucocorticoids， but clinical outcomes are often not ideal. Therefore， finding safe and effective alternative therapies is particularly important. In recent years， with the deepening of research into traditional Chinese medicine （TCM）， it has gained widespread attention in the treatment of severe pneumonia. This paper reviewed the relationship between severe pneumonia and relevant signaling pathways in recent years and how TCM regulated these pathways in the treatment of severe pneumonia. It was found that TCM could regulate the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor-κB （NF-κB）， Janus kinase （JAK）/signal transducer and activator of transcription （STAT）， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， NOD-like receptor protein 3 （NLRP3）， and nuclear factor E₂-related factor 2 （Nrf2） signaling pathways， playing a role in reducing the inflammatory response， inhibiting cell apoptosis and pyroptosis， improving oxidative stress， and other effects in the treatment of severe pneumonia. Among these pathways， it was found that all of them regulated inflammation to treat severe pneumonia. Therefore， reducing inflammation is the core mechanism by which Chinese medicine treats severe pneumonia. This review provides direction for the clinical treatment of severe pneumonia and offers a scientific basis for the research and development of new drugs.

[Objective] : To systematically evaluate the overall efficacy of external application of traditional Chinese medicine (EA-TCM) in combination with oral three-step analgesic ladder therapy for patients suffering from cancer-induced bone pain (CIBP). [Methods] : We conducted a literature search of randomized controlled trials on the combination of EA-TCM and three-step analgesic ladder therapy for CIBP across ten databases and two registration systems. It included four Chinese databases [Chinese Biomedical Literature Database (SinoMed), China National Knowledge Infrastructure (CNKI), Wanfang Database, and China Science and Technology Journal Database (VIP) ], six English databases (Scopus, Embase, Web of Science, PubMed, Cochrane Library, and OpenGrey), and two registration systems (Chinese Clinical Trial Registry and ClinicalTrials.gov). The timeframe for the literature search extended from the inception of each database to December 31, 2023. Meta-analysis was performed using RevMan (v5.4.1), and the outcome indicators (pain relief rate, analgesic duration, quality of life, pain intensity, breakthrough pain frequency, and adverse reactions) were graded using GRADE profiler (v3.6). [Results] : According to the established inclusion and exclusion criteria, a total of 43 studies was deemed eligible, involving 3 142 participants with CIBP. The results of meta-analysis showed that compared with oral three-step analgesic ladder therapy alone, the combined therapy of EA-TCM and three-step analgesic ladder has a significant improvement in pain relief rate [risk ratio (RR) = 1.32, 95% confidence interval (CI): 1.24 to 1.41, P < 0.000 01], analgesic duration [mean difference (MD) = 1.33, 95% CI: 0.97 to 1.69, P < 0.000 01], and quality of life (MD = 5.66, 95% CI: 4.88 to 6.44, P < 0.000 01). Furthermore, the combined therapy significantly reduced pain intensity (MD = – 1.00, 95% CI: – 1.19 to – 0.80, P < 0.000 01), breakthrough pain frequency (MD = – 0.43, 95% CI: – 0.51 to – 0.36, P < 0.000 01), and adverse reactions (RR = 0.60, 95% CI: 0.53 to 0.68, P < 0.000 01) in CIBP patients. Based on the GRADE assessment, the level of evidence varied from low to moderate. [Conclusion] EA-TCM combined with the three-step analgesic ladder therapy can effectively alleviate pain symptoms in patients with CIBP and improve their quality of life. Additionally, the EA-TCM can effectively reduce the incidence of adverse reactions associated with three-step analgesic therapy.

The quality control of traditional Chinese medicine(TCM)is the core issue to ensure the modernization,industrialization and internationalization of TCM.Compared with other detection methods,electrochemical analysis method has many advantages such as high sensitivity,fast detection speed and low cost,making it an important means of quality control for TCM and having broad development prospects.This article reviewed the research progress of electrochemical methods in quality control of TCM in recent years,discussed the application of electrochemical fingerprinting technique in identification of TCM,and comprehensively summarized the application of electrochemical technology in analyzing effective components and harmful substances in TCM,including flavonoids,alkaloids,quinones,glycosides,heavy metals and pesticide residues.Finally,the development prospects of electrochemical methods in the field of quality control of TCM were discussed.

Objective To investigate the toxicokinetic differences of 3,4-methylenedioxy-N-methylamphetamine(MDMA)and its metabolite 4,5-methylene dioxy amphetamine(MDA)in rats af-ter single and continuous administration of MDMA,providing reference data for the forensic identifica-tion of MDMA.Methods A total of 24 rats in the single administration group were randomly divided into 5,10 and 20 mg/kg experimental groups and the control group,with 6 rats in each group.The ex-perimental group was given intraperitoneal injection of MDMA,and the control group was given intraperi-toneal injection of the same volume of normal saline as the experimental group.The amount of 0.5 mL blood was collected from the medial canthus 5 min,30 min,1 h,1.5 h,2 h,4 h,6 h,8 h,10 h,12 h after administration.In the continuous administration group,24 rats were randomly divided into the experi-mental group(18 rats)and the control group(6 rats).The experimental group was given MDMA 7 d by continuous intraperitoneal injection in increments of 5,7,9,11,13,15,17 mg/kg per day,respectively,while the control group was given the same volume of normal saline as the experimental group by in-traperitoneal injection.On the eighth day,the experimental rats were randomly divided into 5,10 and 20 mg/kg dose groups,with 6 rats in each group.MDMA was injected intraperitoneally,and the con-trol group was injected intraperitoneally with the same volume of normal saline as the experimental group.On the eighth day,0.5 mL of blood was taken from the medial canthus 5 min,30 min,1 h,1.5 h,2 h,4 h,6 h,8 h,10 h,12 h after administration.Liquid chromatography-triple quadrupole tandem mass spectrometry was used to detect MDMA and MDA levels,and statistical software was employed for data analysis.Results In the single-administration group,peak concentrations of MDMA and MDA were reached at 5 min and 1 h after administration,respectively,with the largest detection time limit of 12 h.In the continuous administration group,peak concentrations were reached at 30 min and 1.5 h af-ter administration,respectively,with the largest detection time limit of 10 h.Nonlinear fitting equations for the concentration ratio of MDMA and MDA in plasma and administration time in the single-administration group and continuous administration group were as follows:T=10.362C-1.183,R2=0.974 6;T=7.397 3C-0.694,R2=0.961 5(T:injection time;C:concentration ratio of MDMA to MDA in plasma).Conclusions The toxicokinetic data of MDMA and its metabolite MDA in rats,obtained through single and continuous administration,including peak concentration,peak time,detection time limit,and the relationship between concentration ratio and administration time,provide a theoretical and data foundation for relevant forensic identification.

Objective To summarize the epidemiological and clinical features of infectious diseases of the central nervous system(CNS)by a single-center analysis.Methods A retrospective analysis was conducted on the data of 1247 cases of CNS infectious diseases diagnosed and treated in the First Medical Center of PLA General Hospital from 2001 to 2020.Results The data for this group of CNS infectious diseases by disease type in descending order of number of cases were viruses 743(59.6％),Mycobacterium tuberculosis 249(20.0％),other bacteria 150(12.0％),fungi 68(5.5％),parasites 18(1.4％),Treponema pallidum 18(1.4％)and rickettsia 1(0.1％).The number of cases increased by 177 cases(33.1％)in the latter 10 years compared to the previous 10 years(P<0.05).No significant difference in seasonal distribution pattern of data between disease types(P>0.05).Male to female ratio is 1.87︰1,mostly under 60 years of age.Viruses are more likely to infect students,most often at university/college level and above,farmers are overrepresented among bacteria and Mycobacterium tuberculosis,and more infections of Treponema pallidum in workers.CNS infectious diseases are characterized by fever,headache and signs of meningeal irritation,with the adductor nerve being the more commonly involved cranial nerve.Matagenomic next-generation sequencing improves clinical diagnostic capabilities.The median hospital days for CNS infectious diseases are 18.00(11.00,27.00)and median hospital costs are ￥29,500(￥16,000,￥59,200).The mortality rate from CNS infectious diseases is 1.6％.Conclusions The incidence of CNS infectious diseases is increasing last ten years,with complex clinical presentation,severe symptoms and poor prognosis.Early and accurate diagnosis and standardized clinical treatment can significantly reduce the morbidity and mortality rate and ease the burden of disease.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

According to the high failure rate and high maintenance cost of SIF-Q260 enteroscope in Endoscopy Center of Zhongnan Hospital of Wuhan University,the causes for the failure of SIF-Q260 enteroscope were analyzed by the Reason model from four aspects of environmental impact,unsafe supervision,unsafe behavior precursor and unsafe behavior.In view of the analyzed causes of failures at all levels,measures should be proposed from three aspects of regular training to standardize the decontamination and use of endoscopes,appointment of special personnel to manage endoscopes,regular supervision and evaluation of the standardization of endoscopic decontamination,and improvement of the supervision system of endoscopes to block the"loopholes"in the system and provide a basis for the formulation of endoscopic quality control measures,which can prevent and reduce the occurrence of endoscopic failures.

Objective:To investigate the risk factors of atrial fibrillation (AF) in patients with typical atrial flutter after radiofrequency ablation.Methods:This study was a case-control study. The clinical data of 120 patients with typical atrial flutter who underwent radiofrequency ablation in Xingtai People′s Hospital from January 2017 to January 2021 were retrospectively analyzed. Patients were followed up every 3-6 months for a period of 2 years, and AF occurred in 30 patients (25.0%). The risk factors of AF were analyzed with univariate and multivariate logistic regressions.Results:The mean age of patients was (62.0±6.5) years and 64(53.3%) were males. No patients in the two groups had complications such as cardiac tamponade, pulmonary embolism and cerebral infarction after radiofrequency ablation. Compared with non-AF patients, patients in AF group had older age and higher CHA 2DS 2-VASC score ( P<0.001). Multivariate regression analysis showed that age ( HR=1.09, 95% CI:1.01-1.17) and CHA 2DS 2-VASC score ( HR=3.84, 95% CI:1.87-7.89) were independent risk factors for the occurrence of atrial fibrillation after radiofrequency ablation in patients with atrial flutter. Conclusion:After radiofrequency ablation of typical atrial flutter, nearly 25% of patients will relapse into AF, old age and higher CHA 2DS 2-VASC score increase the risk of AF recurrent.

ObjectiveTo investigate the effect and mechanism of Taohong Siwutang （TSD） on myocardial ischemia reperfusion injury （MIRI） in ovariectomized （OVX） female mice. MethodAfter the OVX model of female mice was established， the estradiol （E₂） level was detected by enzyme-linked immunosorbent assay （ELISA） to verify the model. Sixty OVX mice were randomly divided into six groups： Sham operation group， model group， low， medium， and high dose groups （9， 18， 36 g·kg^-1） of TSD， and nuclear factor E₂-related factor 2 （Nrf2） inhibitor group， with 10 mice in each group. The MIRI model was verified by a laser speckle flowmeter. The pathological changes in myocardial tissue were detected by 2，3， 5-triphenyltetrazolium chloride （TTC） and hematoxylin-eosin （HE） staining. Serum creatine kinase isoenzyme （CK-MB）， cardiac troponin Ⅰ （CTnⅠ）， malondialdehyde （MDA）， superoxide dismutase （SOD）， interleukin-6 （IL-6）， and interleukin-10 （IL-10） levels were detected by ELISA. The expression of Nrf2 and heme oxygenase-1 （HO-1） were observed by immunofluorescence staining. The expressions of Nrf2， HO-1， apoptotic B-cell lymphomato-2 （Bcl-2）， Bcl-2 associated X protein （Bax）， inflammatory cytokines interleukin-18 （IL-18）， and interleukin-1β （IL-1β） were detected by Western blot. ResultCompared with the sham operation group， the serum levels of CK-MB， CTnⅠ， MDA， and IL-6 in the model group were increased （P<0.01）， and the levels of SOD and IL-10 were decreased （P<0.01）. The damage scores of TTC and HE staining in myocardial tissue were increased （P<0.01）. The expressions of Nrf2 and HO-1 in myocardial tissue by immunofluorescence were decreased （P<0.01）， and the protein expressions of Nrf2， HO-1， and Bcl-2 in myocardial tissue were decreased. The protein expressions of Bax， IL-18， and IL-1β were increased （P<0.01）. Compared with the model group， serum levels of CK-MB， CTnⅠ， MDA， and IL-6 of TSD groups were significantly decreased （P<0.05， P<0.01）， and SOD and IL-10 were significantly increased （P<0.05， P<0.01）. TTC staining and HE staining damage scores of myocardial tissue were significantly decreased （P<0.01）. The expressions of Nrf2 and HO-1 in myocardial tissue by immunofluorescence were increased （P<0.01）. The protein expressions of Nrf2， HO-1， and Bcl-2 were significantly increased （P<0.05， P<0.01）， and those of Bax， IL-18， and IL-1β were significantly decreased （P<0.05， P<0.01）. The effect of the high dose group of TSD was the most significant. The serum levels of CK-MB， CTnⅠ， MDA， and IL-6 in the Nrf2 inhibitor group were significantly increased （P<0.05， P<0.01）， and the levels of SOD and IL-10 were significantly decreased （P<0.05， P<0.01）. The damage scores of TTC and HE staining in myocardial tissue were significantly increased （P<0.01）. The expressions of Nrf2 and HO-1 in myocardial tissue by immunofluorescence were significantly decreased （P<0.01）. The protein expressions of Nrf2， HO-1， and Bcl-2 in myocardial tissue were significantly decreased， and those of Bax， IL-18， and IL-1β were significantly increased （P<0.01）. ConclusionTSD can alleviate MIRI in OVX mice， reduce oxidative stress response and the release of inflammatory factors， and inhibit apoptosis， playing a protective role in OVX mice with MIRI， which may be related to the activation of Nrf2/HO-1 signaling pathway.