In developing rapid and living guidelines of traditional Chinese medicine （TCM） in response to public health emergencies， it is important that evidence continue to be reviewed， and clinical questions and recommendations updated if necessary， due to the rapid changes in disease progression and the continuous generation of relevant research evidence. This paper proposed that the updating scope in dynamic mode should first be identified； then evidence monitoring should be carried out in four aspects， including clinical research， related guidelines or laws and regulations， disease progression， as well as clinical use of recommendations and clinical needs； finally， based on the results of the evidence monitoring， different options should be made， including revising the clinical questions， updating the evidence and recommendations， and withdrawing the guideline.

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 risk of bias and reporting quality in randomized controlled trials(RCTs)of the Chinese medicine injection for acute cerebral infarction in the last five years.Methods RCTs literature on Chinese medicine injection in the treatment of acute cerebral infarction was systematically searched in CNKI,Wanfang Data,VIP,China Biology Medicine Database(CBM),PubMed,Embase and Cochrane Library from April 20,2018 to April 20,2023.The risk of bias and reporting quality of included RCTs were evaluated using the Cochrane Risk of Bias Tool(ROB 1.0)and CONSORT-CHM Formulas 2017,respectively.Results A total of 4 301 articles were retrieved,and 408 RCTs were included according to inclusion and exclusion criteria.The ROB evaluation results showed that the the majority of studies were rated as having an unclear risk of bias due to the lack of reporting on allocation concealment,blind method,trial registration information,and funding sources.The evaluation results of CONSORT-CHM Formulas 2017 showed that the number of reported papers of 17 items was greater than or equal to 50%,and the number of reported papers of 25 items was less than 10%,and most of the RCTs did not show the characteristics of TCM syndrome differentiation and treatment.Conclusion The quality of Chinese medicine injection in the treatment of acute cerebral infarction RCTs is generally low.It is recommended that researchers refer to the methodology design of RCTs and international reporting standards,improve the trial design,standardize the trial report,and highlight the characteristics of TCM syndrome differentiation and treatment.

Objective:To investigate the treatment strategy and prognostic factors of nasopharyngeal necrosis after the first radical radiotherapy for nasopharyngeal carcinoma.Methods:Clinical data of 1020 patients with nasopharyngeal carcinoma undergoing radical intensity-modulated radiotherapy in Jiangsu Cancer Hospital from January 2013 to January 2022 were retrospectively analyzed. Nasopharyngeal necrosis was confirmed by nasopharyngeal MRI, electronic nasopharyngoscopy and biopsy. Patients with nasopharyngeal necrosis were treated with electronic nasopharyngoscope irrigation debridement, combined with systemic anti-infection and nutritional support therapy. Kaplan-Meier method was used to calculate the survival, and Cox regression analysis was used to analyze the relationship between clinical factors and patients' survival.Results:Nasopharyngeal necrosis occurred in 20 cases of 1020 nasopharyngeal carcinoma patients after the first radical intensity-modulated radiotherapy, with an incidence rate of 1.96%. Odd smell and headache were common in nasopharyngeal necrosis patients. All patients had locally advanced nasopharyngeal carcinoma at initial treatment, including 2 (10%) cases of T 3 stage and 18 (90%) cases of T 4 stage. Nasopharyngeal necrosis occurred in the primary nasopharyngeal lesions. According to the stages of nasopharyngeal necrosis, there were 6 (30%) cases of stage I, 14 (70%) cases of stage II and no stage III. The occurrence time of nasopharyngeal necrosis was from 2 to 24 months after radiotherapy, and the median time was 5 months. All 16 cases of nasopharyngeal necrosis were cured clinically after debridement and irrigation under nasopharyngoscope, systemic anti-infection and symptomatic support treatment. Among them, 9 cases had no necrotic cavity and complete healing and 7 cases had residual necrotic cavity. Four patients died of massive nasopharyngeal hemorrhage or due to the inability to nasopharyngeal irrigation. The 5-year survival rates were 37.5% and 85.7% in patients with and without internal carotid artery involvement ( P=0.008), and 25.0% and 77.8% in patients with and without diabetes mellitus ( P=0.016). Univariate Cox regression analysis showed that necrotic lesions involving internal carotid artery ( HR=5.80, 95% CI=1.14-29.38, P=0.034) and diabetes mellitus ( HR=10.24, 95% CI=1.19-88.04, P=0.034) were the influencing factors of overall survival. Conclusions:Nasopharyngoscope irrigation debridement combined with anti-inflammation and nutritional support treatment are effective interventions for nasopharyngeal necrosis after the first radical intensity-modulated radiotherapy in patients with nasopharyngeal carcinoma. The necrosis involving the internal carotid artery and diabetes mellitus are important factors affecting the survival of patients. Vascular invasion caused by vascular rupture is the main cause of death.

Objective To explore medium and long term efficacy of oblique lateral interbody fusion(OLIF)in treating lumbar specific infection.Methods From October 2017 to January 2021,24 patients with lumbar specific infection were treated by OLIF combined with vertebral screw internal fixation,including 15 males and 9 females,aged from 27 to 61 years old with an average of(43.0±15.0)years old;the courses of disease ranged from 6 to 24 months with an average of(14.0±7.0)months;7 patients with L2-L3,12 patients with L3-L4 and 5 patients with L4-L5;19 patients with tuberculosis infection and 5 patients with brucella infection.The amount of intraoperative blood loss,operative time and complications were recorded,and erythro-cyte sedimentation rate(ESR),C-reactive protein(CRP),visual analogue scale(VAS),Japanese Orthopaedic Association(JOA)score and American Spinal Injury Association(ASIA)rating were compared before and one month after opertaion.Re-sults All patients were followed up from 9 to 24 months with an average of(13.0±6.0)months.Operative time was(132.5±21.4)min,and intraoperative blood loss was(227.3±43.1)ml.ESR and CRP were decreased from(82.34±18.62)mmol·h-1 and(53.08±21.84)mg·L-1 before operation to(33.52±17.31)mmol·h-1 and(15.48±8.36)mg·L-1 at one month after opera-tion,respectively(P＜0.05).VAS was decreased from(7.52±1.36)before opertaion to(1.74±0.87)at one month after opera-tion(P＜0.05).JOA was increased from(17.86±3.95)before operation to(24.72±3.19)at one month after operation(P＜0.05).Four patients had neurological symptoms before operation,and were classified to grade D according to ASIA classifica-tion,who were recovered to grade E at 1 month after operation.One patient was suffered from psoas major muscle injury after operation,and returned to normal at 3 weeks.One patient was suffered from abdominal distension and difficulty in defecation,and relieved after gastrointestinal decompression and enema.No complications such as abdominal organ injury and poor wound healing occurred in all patients.Conclusion OLIF combined with vertebral screw internal fixation is a new minimally invasive surgical method for the treatment of lumbar specific infection,especially the lesion located on the middle lumbar vertebra.It has advantages of less trauma,short operation time,less blood loss,convenient operation,complete removal of the lesion,safety and effectiveness,and has good medium-and long-term efficacy for lumbar specific infection.

Objective To investigate the association between the serum creatinine/cystatin C ratio(SCr/Cys C)as a Sarcopenia index(SI)and the incidence of in-hospital adverse events in patients with acute myocardial infarction(AMI)undergoing emergency percutaneous coronary intervention(PCI).Additionally,we evaluate the predictive efficacy of the SI in predicting major adverse cardiovascular events(MACEs)during hospitalization.Methods A total of 306 patients with AMI who underwent emergency PCI in the 904th Hospital of PLA Joint Logistics Support Force from January 2020 to March 2023 were consecutively included in this retrospective analysis.Patients were divided into two groups based on the occurrence of MACEs during hospitalization:MACEs group(n=43)and non-MACEs group(n=263).Clinical characteristics and pre-PCI laboratory test results were collected.Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for MACEs.The predictive performance of SI was assessed using receiver operating characteristic(ROC)curve analysis.Results The incidence of in-hospital MACEs in AMI patients was 14.1%.The results of the independent samples t-test showed that the SI level in MACEs group was significantly lower than that in non-MACEs group,with a statistically significant difference(P<0.001).The results of the multivariate logistic regression analysis suggested that new-onset atrial fibrillation,Killip class 2-4,SI,and TG were independent risk factors for in-hospital adverse events after emergency PCI.The ROC curve results showed that the predictive value of SI(AUC=0.741,95%CI 0.666-0.816)using the SCr/Cys C ratio was superior to that of single Cys C(AUC=0.658,95%CI 0.570-0.746)for predicting post-PCI MACEs,with a statistically significant difference(P<0.05),and the optimal cutoff value for SI was 78.14.After stratifying SI based on the cutoff value,the results of the independent samples t-test showed that compared to the higher SI group,the lower SI group had a higher occurrence of specific adverse events such as heart failure(P<0.001),malignant arrhythmias(P=0.009),and strokes(P=0.003),with statistically significant differences.Conclusions The results highlight SI as an independent risk factor for MACEs during hospitalization after emergency PCI in AMI patients.Furthermore,SI has proven to be an effective prognostic index for patient outcomes.

The main components and working principle of the negative pressure isolation treatment equipment were described,and the classification and application scopes of the negative pressure isolation treatment equipment from foreign countries and China were reviewed.The structure,key technical parameters and characteristics of different types of negative pressure isolation treatment equipment were analyzed under different conditions.The problems of the negative pressure isolation treatment equipment were analyzed,and it's pointed out it would be enhanced in component simplification,comfort,intelligence and multifunctionality.[Chinese Medical Equipment Journal,2024,45(2):97-104]

Objective:To investigate the clinical features, characteristics under white-light endoscopy and endoscopic ultrasonography, and treatment strategies of gastritis cystica profunda (GCP) accompanied with or without neoplastic lesions.Methods:Clinical data of 35 patients, who were pathologically diagnosed as having GCP after endoscopic or surgical resection in Beijing Friendship Hospital, Capital Medical University from January 2015 to February 2021, were retrospectively collected, including 27 patients with neoplastic lesions. The demographic information, clinical manifestations, endoscopic features, treatment methods, and pathological results of GCP were summarized.Results:Thirty-five patients with GCP were 68.26±8.08 years old, and mostly male (80.00%, 28/35). The most common symptom was upper abdominal pain, accounting for 31.43% (11/35), and 25.71% (9/35) had no symptoms. Other symptoms included acid reflux, heartburn, abdominal distension, anemia, and choking sensation after eating. The most common site of GCP was cardia (51.43%, 18/35), and the main endoscopic manifestations of GCP were flat mucosal lesions (68.57%, 24/35), mainly 0-Ⅱa and 0-Ⅱa+Ⅱc type lesions, accounting for 66.67% (16/24). The second common endoscopic manifestation was polypoid eminence (20.00%, 7/35). Endoscopic ultrasonography was performed in 15 patients, with main manifestations of uniform hypoechoic with or without cystic echo (73.33%, 11/15). Among the GCP cases, 33 patients received endoscopic resection, and 2 received surgical treatment. The treatment processes were all successfully completed, and en-bloc resection was accomplished for all lesions receiving endoscopy, with the mean endoscopic operation time of 86.13 min. One patient suffered postoperative delayed bleeding after ESD which was stopped by endoscopic hemostasis. Final pathological results showed that the proportion of GCP complicated with neoplastic lesions was 77.14% (27/35), 68.57% (24/35) with early gastric cancer or precursor. Twenty-three cases achieved R0 resection. One case showed positive basal resection margin and vascular invasion, and recurrence happened in situ at the 5th month of follow-up, surgical resection was then performed. The endoscopic complete resection rate was 95.83% (23/24).Conclusion:GCP usually occurs in middle-aged and elderly male, often located in cardia, manifested mainly as flat mucosal lesions and polypoid changes. Endoscopic ultrasonography shows a high diagnostic value for GCP, and endoscopic treatment is safe and effective minimally invasive treatment for GCP.

To explore the mechanism of the active ingredients of Qishiwei Zhenzhu Pills in inhibiting the hepatorenal toxicity of the zogta component based on serum pharmacochemistry and network pharmacology, thereby providing references for the clinical safety application of Qishiwei Zhenzhu Pills. The small molecular compounds in the serum containing Qishiwei Zhenzhu Pills of mice were identified by high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS). Then, by comprehensively using Traditional Chinese Medicines Systems Pharmacology(TCMSP), High-throughput Experiment-and Reference-guided Database(HERB), PubChem, GeneCards, SuperPred, and other databases, the active compounds in the serum containing Qishiwei Zhenzhu Pills were retrieved and their action targets were predicted. The predicted targets were compared with the targets of liver and kidney injury related to mercury toxicity retrieved from the database, and the action targets of Qishiwei Zhenzhu Pills to inhibit the potential mercury toxicity of zogta were screened out. Cytoscape was used to construct the active ingredient in Qishiwei Zhenzhu Pills-containing serum-action target network, and STRING database was used to construct the protein-protein interaction(PPI) network of intersection targets. The Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analyses were carried out on the target genes by the DAVID database. The active ingredient-target-pathway network was constructed, and the key ingredients and targets were screened out for molecular docking verification. The results showed that 44 active compounds were identified from the serum containing Qishiwei Zhenzhu Pills, including 13 possible prototype drug ingredients, and 70 potential targets for mercury toxicity in liver and kidney were identified. Through PPI network topology analysis, 12 key target genes(HSP90AA1, MAPK3, STAT3, EGFR, MAPK1, APP, MMP9, NOS3, PRKCA, TLR4, PTGS2, and PARP1) and 6 subnetworks were obtained. Through GO and KEGG analysis of 4 subnetworks containing key target genes, the interaction network diagram of active ingredient-action target-key pathway was constructed and verified by molecular docking. It was found that taurodeoxycholic acid, N-acetyl-L-leucine, D-pantothenic acid hemicalcium, and other active ingredients may regulate biological functions and pathways related to metabolism, immunity, inflammation, and oxidative stress by acting on major targets such as MAPK1, STAT3, and TLR4, so as to inhibit the potential mercury toxicity of zogta in Qishiwei Zhenzhu Pills. In conclusion, the active ingredients of Qishiwei Zhenzhu Pills may have a certain detoxification effect, thus inhibiting the potential mercury toxicity of zogta and playing a role of reducing toxicity and enhancing effect.
Animals ; Mice ; Medicine, Tibetan Traditional ; Network Pharmacology ; Molecular Docking Simulation ; Tandem Mass Spectrometry ; Toll-Like Receptor 4 ; Medicine, Chinese Traditional ; Mercury ; Drugs, Chinese Herbal/toxicity*

ObjectivesBased on the changes of lung lesions in patients with COVID-19 at different stages， a nomogram model describing CT image features was established by radiomics method to explore its efficacy in predicting the progression of the disease. MethodsThis retrospective study enrolled 136 patients with COVID-19 pneumonia who received at least two CTs including three cohorts （training cohort and validation cohort 1 and 2）. Patients in the training cohort were divided into three groups according to time between onset of fever symptoms and the first CT. The clinical manifestations and CT features of each group were analyzed and compared. A nomogram to predict disease progression was constructed according to the CT features of the patients， and its performance was evaluated. ResultsThe training cohort consisted of 41 patients.A nomogram was generated to predict disease progression based on three CT features： irregular strip shadow， air bronchial sign， and the proportion of lesions with irregular shape ≥50%. AUC（95%CI）=0.906（0.817，0.995）.The C index of the training cohort was 0.906， and the C index of the internal verification was 0.892. AUC（95%CI）of the validation cohort 1 （34 cases） =0.889（0.793，0.984）；AUC（95%CI）of the validation cohort 2 （61 cases）=0.876（0.706，1.000）.The calibration curves show that the predicted values of the nomogram are in good agreement with the observed values. ConclusionThe nomogram model based on CT radiomics can predict the outcome of lung lesions in patients with high sensitivity and specificity.According to the changes of CT image characteristics of patients with COVID-19， lung lesions will be improved when the proportion of irregular cable shadow， air bronchogram and irregular lesions is greater than 50%.