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 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.

Objective:To evaluate the efficacy of oral midazolam solution for preoperative sedation in the pediatric outpatients undergoing root canal treatment under general anesthesia.Methods:One hundred and forty-seven pediatric patients of either sex, aged 2-7 yr, weighing 10-30 kg, of American Society of Anesthesiologists Physical Status classificationⅠ or Ⅱ, were divided into 3 groups ( n=49 each) using a random number table method: oral midazolam solution group (OM group), midazolam injection group (M group), and dexmedetomidine group (D group). In OM group, patients received oral midazolam solution at a dose of 0.5 mg/kg along with a placebo (an equivalent amount of normal saline based on body weight) administered via nasal drops. In M group, patients were given oral midazolam injection at a dose of 0.5 mg/kg along with a placebo via nasal drops. In D group, patients were administered a placebo orally along with dexmedetomidine at a dose of 2 μg/kg via nasal drops. The Induction Compliance Checklist (ICC) scores upon entering the operating room, sedation success rates (ICC score ≤ 3), drug acceptance scores, mask acceptance scores, and separation anxiety scores were recorded. The emergence time, time of stay in postanesthesia care unit (PACU), and occurrence of adverse events such as bradycardia, hypotension, hypoxemia, and laryngospasm during surgery and in PACU were recorded. Results:A total of 143 pediatric patients were finally included in the study, with 48 cases in OM group, 48 cases in M group and 47 cases in D group. Compared with M and D groups, the ICC scores upon entry to the operating room were significantly decreased, the sedation success rates were increased, drug acceptance scores were increased, separation anxiety scores were decreased, and mask acceptance scores were decreased in OM group ( P<0.05). Compared with D group, the ICC scores upon entry to the operating room were significantly decreased, the sedation success rates were increased, and mask acceptance scores were decreased in M group ( P<0.05). There were no statistically significant differences in the emergence time, time of stay in PACU, and incidence of adverse events during surgery and in PACU among the three groups ( P>0.05). Conclusions:Oral midazolam solution provides good effect with less adverse reactions when used for preoperative sedation in the pediatric outpatients undergoing root canal treatment under general anesthesia.

Objective To investigate the accuracy of cone-beam CT(CBCT)by measuring tongue thickness(TT)in predicting difficult glottis exposure in patients undergoing maxillofacial surgery.Methods Ninety-seven patients undergoing elective maxillofacial surgery under general anesthesia were selected,45 males and 52 females,aged 18-67 years,ASA physical status Ⅰ or Ⅱ.The TT was measured by CBCT before operation.The inter-incisor distance(IID),BMI,thyromental distance(TMD),and modified Mal-lampati test(MMT)were also recorded.According to the Cormack-Lehane(CL)grade at the time of gener-al anesthesia induction,the patients were divided into two groups:the easy laryngoscope exposure group(group E,CL gradeⅠorⅡ,n = 86)and the difficult laryngoscope exposure group(group D,CL gradeⅢ or Ⅳ,n = 11).The relationship between IID,BMI,TMD,MMT,TT,and laryngoscopy exposure was analyzed,and the receiver operating characteristic(ROC)curve was used to analyze the relationship be-tween each index and difficult laryngoscopy exposure.Results Compared with group E,the BMI,MMT,and TT of group D were significantly increased(P＜0.05),while the TMD was significantly decreased(P＜0.05).The area under the ROC curve(AUC)of BMI,TMD,MMT,and TT to predict difficult glot-tis exposure was 0.690,0.714,0.726,and 0.797,the sensitivity was 36.4%,63.6%,63.6%,and 81.8%,and the specificity was 95.3%,69.8%,76.7%,and 68.6%,respectively.Using BMI,MMT,TMD,and TT as a model to predict difficult glottis exposure,the AUC was 0.913,the sensitivity was 90.9%and the specificity was 83.7%.Conclusion TT measured by CBCT is an independent impact factor for predicting difficult laryngoscope exposure.The comprehensive model incorporating BMI,TMD,MMT,and TT has a better predictive effect.

OBJECTIVE To establish the HPLC fingerprint and content determination of five components in Ranunculus sceleratus L.. METHODS The separation was developed on an Agilent ZORBAX SB C18 chromatographic (4.6 mm×250 mm, 5 μm)column by gradient elution with methanol(A)-0.1 % phosphoric acid aqueous solution(B) as mobile phase to establish HPLC fingerprint of Ranunculus sceleratus L.. Combined with similarity evaluation, cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis, the quality of 13 batches of Ranunculus sceleratus L. was evaluated. RESULTS Thirteen batches of Ranunculus sceleratus L. samples were calibrated with 20 common peaks, of which 5 common peaks were identified, and the similarity ranged from 0.874 to 0.984. The results of cluster analysis and principal component analysis were basically the same, indicating that there might be differences in the content of chemical components of Ranunculus sceleratus L. in different regions. Protocatechuic aldehyde, caffeic acid, ferulic acid, hyperoside and isoquercitrin were determined in thirteen batches of Ranunculus sceleratus L., and their contents were 0.016−0.035, 0.010−0.070, 0.010−0.029, 0.016−0.051, 0.028−0.086 mg·g–1, respectively. CONCLUSION The established HPLC fingerprint and content determination method is simple, stable, and reliable, which can be used for qualitative analysis and provide reference to quality evaluation and resource utilization of Ranunculus sceleratus L..

Objective To explore the mechanism of electroacupuncture pretreatment(EP)for relieving post-stroke spasticity in rats.Methods Eighteen rats were randomized equally into sham-operated group,middle cerebral artery occlusion(MCAO)group,and MCAO+EP group.In MCAO+EP group,the rats received electroacupuncture at the acupoints Qubin and Baihui for 3 consecutive days prior to MCAO.Neurological deficits and cognitive function of the rats were evaluated,and pathologies in the hippocampus were examined using HE,Nissl,and TUNEL staining.The expressions of IL-4,IL-6,TNF-α,and TMAO in the brain tissues were detected with ELISA,and the mRNA and protein expression levels of NF-κB p65,NLRP3,caspase-3,and caspase-9 were determined with qRT-PCR,Western blotting,and immunohistochemistry.Results The rats receiving MCAO had significantly increased neurological deficit scores and showed increased muscle tension,number of apoptotic neurons,and expressions of IL-6,TNF-α,NF-κB p65,NLRP3,caspase-3 and caspase-9 in the hippocampus and significantly reduced length of time for new object recognition.Microscopically,the cells in the hippocampus of the MCAO rats showed uneven and loosened arrangement and unclear cell boundaries.In contrast,the rats in I/R+EP group showed significantly lowered neurological deficit scores and dystonia rating scores,reduced cell apoptosis,lowered hippocampal expressions of IL-6,TNF-α,caspase-3,caspase-9,and NF-κB p65,increased time for new object recognition,tightly arranged and uniformly stained hippocampal cells with clear boundaries,with also an increased number of active neurons and enhanced expression of IL-4 in the hippocampus.Conclusion EP alleviates post-stroke spasticity in rats by inhibiting inflammatory responses and hippocampal neuronal apoptosis mediated by the NF-κB/NLRP3 signaling pathway.

Objective:To investigate the surgical situations and perioperative outcome of pancreaticoduodenectomy in Jiangsu Province and the influencing factors for postoperative 90-day mortality.Methods:The retrospective case-control study was conducted. The clinicopathological data of 2 886 patients who underwent pancreaticoduodenectomy in 21 large tertiary hospitals of Jiangsu Quality Control Center for Pancreatic Diseases, including The First Affiliated Hospital of Nanjing Medical University, from March 2021 to December 2022 were collected. There were 1 732 males and 1 154 females, aged 65(57,71)years. Under the framework of the Jiangsu Provincial Pancreatic Disease Quality Control Project, the Jiangsu Quality Control Center for Pancreatic Diseases adopted a multi-center registration research method to establish a provincial electronic database for pancrea-ticoduodenectomy. Observation indicators: (1) clinical characteristics; (2) intraoperative and post-operative conditions; (3) influencing factors for 90-day mortality after pancreaticoduodenectomy. Measurement data with skewed distribution were represented as M( Q1, Q3) or M(IQR), and comparison between groups was conducted using the Mann-Whitney U test. Count data were expressed as absolute numbers or constituent ratio, and comparison between groups was conducted using the chi-square test, continuity correction chi-square test and Fisher exact probability. Maximal Youden index method was used to determine the cutoff value of continuous variables. Univariate analysis was performed using the corresponding statistical methods based on data types. Multivariate analysis was performed using the Logistic multiple regression model. Results:(1) Clinical characteristics. Of the 2 886 patients who underwent pancreaticoduodenectomy, there were 1 175 and 1 711 cases in 2021 and 2022, respectively. Of the 21 hospitals, 8 hospitals had an average annual surgical volume of <36 cases for pancreaticoduodenectomy, 10 hospitals had an average annual surgical volume of 36-119 cases, and 3 hospitals had an average annual surgical volume of ≥120 cases. There were 2 584 cases performed pancreaticoduodenectomy in thirteen hospitals with an average annual surgical volume of ≥36 cases, accounting for 89.536%(2 584/2 886)of the total cases. There were 1 357 cases performed pancrea-ticoduodenectomy in three hospitals with an average annual surgical volume of ≥120 cases, accounting for 47.020%(1 357/2 886) of the total cases. (2) Intraoperative and postoperative conditions. Of the 2 886 patients, the surgical approach was open surgery in 2 397 cases, minimally invasive surgery in 488 cases, and it is unknown in 1 case. The pylorus was preserved in 871 cases, not preserved in 1 952 cases, and it is unknown in 63 cases. Combined organ resection was performed in 305 cases (including vascular resection in 209 cases), not combined organ resection in 2 579 cases, and it is unknown in 2 cases. The operation time of 2 885 patients was 290(115)minutes, the volume of intra-operative blood loss of 2 882 patients was 240(250)mL, and the intraoperative blood transfusion rate of 2 880 patients was 27.153%(782/2 880). Of the 2 886 patients, the invasive treatment rate was 11.342%(327/2 883), the unplanned Intensive Care Unit (ICU) treatment rate was 3.087%(89/2 883), the reoperation rate was 1.590%(45/2 830), the duration of postoperative hospital stay was 17(11)days, the hospitalization mortality rate was 0.798%(23/2 882), and the failure rate of rescue data in 2 083 cases with severe complications was 6.529%(19/291). There were 2 477 patients receiving postoperative 90-day follow-up, with the 90-day mortality of 2.705%(67/2477). The total incidence rate of complication in 2 886 patients was 58.997%(1 423/2 412). The incidence rate of severe complication was 13.970%(291/2 083). The comprehensive complication index was 8.7(22.6) in 2 078 patients. (3) Influencing factors for 90-day mortality after pancreaticoduodenectomy. Results of multivariate analysis showed that age ≥ 70 years, postoperative invasive treatment, and unplanned ICU treatment were independent risk factors for 90-day mortality after pancreaticoduodenectomy ( odds ratio=2.403, 2.609, 16.141, 95% confidence interval as 1.281-4.510, 1.298-5.244, 7.119-36.596, P<0.05). Average annual surgical volume ≥36 cases in the hospital was an independent protective factor for 90-day mortality after pancreaticoduodenectomy ( odds ratio=0.368, 95% confidence interval as 0.168-0.808, P<0.05). Conclusions:Pancreaticoduodenectomy in Jiangsu Province is highly con-centrated in some hospitals, with a high incidence of postoperative complications, and the risk of postoperative 90-day mortality is significant higher than that of hospitallization mortality. Age ≥ 70 years, postoperative invasive treatment, and unplanned ICU treatment are independent risk factors for 90-day motality after pancreaticoduodenectomy, and average annual surgical volume ≥36 cases in the hospital is an independent protective factor.

Objective:To assess the predictive accuracy and practical utility of established risk prediction models for enteral nutrition intolerance in critically ill patients. Methods:A meta-analysis was conducted to identify existing risk prediction models for enteral nutrition intolerance in critically ill patients. Eligible patients admitted to the Department of Critical Care Medicine and various ICUs of General Hospital of Eastern Theater Command from March 2023 to August 2023, meeting natriuresis criteria, were included in the study. The discrimination and calibration of the two models were assessed using the area under the receiver operating characteristic curve (AUROC) and the Hosmer-Lemeshow goodness-of-fit test (H-L test). Results:Two models were analyzed, encompassing a total of 395 patients, among whom 161 experienced intolerances, resulting in an incidence rate of 40.8％. Model 1 demonstrated an AUROC of 0.838 (95％CI:0.798 ～ 0.873), while model 2 yielded an AUROC of 0.744 (95％CI:0.698 ～ 0.786). The Delong method was utilized to compare the AUROC values of the two models, revealing a statistically significant difference (P=0.0043). Notably, the model 1 exhibited superior performance compered to model 2. The H-L test for model 1 indicated fair calibration (X2=61.116, P<0.001), whereas model 2 demonstrated better calibration (X2=3.659, P=0.887). Conclusion:Model 1 exhibits superior discriminatory ability compared tomodel 2, while the calibration of model 2 surpasses that of model 1. Model 1 is well-suited for dynamic prediction, accommodating changes in patient condition over time. Conversely, Model 2 is appropriated for initial prediction following enteral nutrition initiation. Healthcare professionals can integrate bothmodels based on the specific clinical conditions to enhance predictive accutacy. Additionally, they can undertake high-quality research to develop a novel risk prediction model.