Rheumatoid arthritis （RA） is a chronic systemic autoimmune disease characterized by symmetrical polyarthritis， which may lead to joint deformity and loss of joint function in the long term， severely impairing patients' quality of life. Danggui Niantongtang， originated from Medical Revelations by Zhang Yuansu in the Jin Dynasty， has the effects of clearing heat and draining dampness， dispelling wind and alleviating pain， and serves as a classic formula for treating RA damp-heat stagnation syndrome. By searching CNKI， Wanfang， PubMed and other databases， the author systematically reviewed the clinical efficacy and experimental research of Danggui Niantongtang in the treatment of RA， and elucidated its mechanisms of action， so as to provide a valuable reference for future clinical and basic research of Danggui Niantongtang in the field of RA. Clinical studies demonstrated that Danggui Niantongtang can improve core symptoms in RA patients with the damp-heat stagnation syndrome， including joint swelling and pain， morning stiffness and limited joint mobility， decrease inflammatory markers such as C-reactive protein （CRP） and erythrocyte sedimentation rate （ESR）， and facilitate postoperative rehabilitation in RA patients undergoing total knee arthroplasty （TKA）. When combined with Western medicines such as methotrexate， it can enhance the anti-inflammatory efficacy and mitigate adverse reactions， including gastrointestinal discomfort and hepatic injury. Experimental studies revealed that this formula can modulate the inflammatory cytokine network， promote synoviocyte apoptosis， inhibit abnormal synoviocyte autophagy， suppress synovial angiogenesis， and maintain intestinal flora homeostasis. However， several limitations exist in current research， such as insufficient clinical quality， unclear interaction between mechanisms and networks， and insufficient research on dosage form optimization. In the future， high-quality clinical research， multi-omics mechanistic studies， and dosage form improvement are needed to provide scientific basis for its clinical promotion and in-depth research.

This paper summarizes Professor SHI Zaixiang's clinical experience in treating high fever caused by sepsis using Chaihu Guizhi Ganjiang Decoction （柴胡桂枝干姜汤）. He holds that the key pathogenesis of sepsis involves constrained heat in the shaoyang and internal accumulation of water and fluids. The clinical manifestations such as high fever， chills， and alternating sensations of cold and heat are attributed to pathogenic heat constrained in the shaoyang. Meanwhile， soft tissue edema and serous cavity effusions are due to shaoyang dysfunction and internal water retention. In clinical practice， treating sepsis-related high fever requires addressing both the shaoyang-constrained heat and the associated edema and effusions. The therapeutic approach focuses on harmonizing the shaoyang and resolving internal fluids， using Chaihu Guizhi Ganjiang Decoction as the base formula with flexible modifications. Professor SHI emphasizes that this formula shows a rapid antipyretic effect， particularly in cases where multiple anti-infective treatments have failed.

At present, there is no effective drug treatment for obstructive sleep apnea hypopnea syndrome (OSAHS). It is usually treated by mechanical ventilation through a ventilator. In this paper, a non-invasive bi-level breathing therapy system suitable for home scenarios is developed. The system supports single-level and bi-level positive airway pressure therapies, and introduces the function of inspiratory synchronous trigger based on flow monitoring to enhance the synchrony of patient-ventilator synchronization. The test results show that the performance indicators of the system meet expectations. Each ventilation mode can operate normally and can meet the requirements for the use of home non-invasive ventilators.
Humans ; Sleep Apnea, Obstructive/therapy* ; Equipment Design ; Noninvasive Ventilation/instrumentation* ; Respiration, Artificial

OBJECTIVE To discuss the effect mechanism of atractylodin （ATR） on lung injury and airway inflammation in rats with acute exacerbation of chronic obstructive pulmonary disease （AECOPD）. METHODS AECOPD model was established using smoke exposure and intratracheal injection of lipopolysaccharide. Rats were randomly grouped into model group， ATR low-， medium- and high-dose groups （25， 50 and 100 mg/kg）， as well as high-dose ATR+anisomycin [ANS， c-Jun N-terminal kinase （JNK） activator] group （100 mg/kg ATR+5 mg/kg ANS）. Additionally， a non-modeled control group was set up， with 12 rats in each group. Rats in each group were intraperitoneally injected with the corresponding drug solution/normal saline once daily for 14 consecutive days. After the last medication， lung function [peak expiratory flow （PEF）， the ratio of forced expiratory volume （FEV） to forced vital capacity （FVC）， arterial partial pressure of oxygen （PaO2）]， as well as the number of inflammatory cells and the levels of inflammatory cytokines [interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and IL-1β] in bronchoalveolar lavage fluid （BALF）， were measured. The pathological morphology of lung tissue in rats was observed. 163.com The apoptosis of lung epithelial cells was detected， and the expression levels of proteins related to the JNK/p38 mitogen-activated protein kinase （p38 MAPK） signaling pathway in rat lung tissues were detected. RESULTS Compared with control group， PEF， FEV/FVC and PaO2 of model group were slowed or decreased significantly （P＜0.05）. The number of white blood cells， neutrophils， lymphocytes and macrophages， as well as the levels of IL-1β， TNF-α and IL-6 in BALF， along with the pathological score， the apoptosis rate of lung epithelial cells， and the phosphorylation levels of JNK and p38 MAPK proteins in lung tissues， were all increased or raised significantly （P＜0.05）； lung tissue exhibited severe damage， with disordered cell arrangement and marked infiltration of inflammatory cells. Compared with model group， the levels of above quantitative indicators in rats from all ATR dosage groups showed significant improvement in a dose-dependent manner （P＜0.05）； moreover， the pathological damage in lung tissue was alleviated， with cells arranged in a regular and orderly fashion. Compared with ATR high-dose group， the levels of the above quantitative indicators in rats from the high-dose ATR+ANS group were significantly reversed （P＜0.05）， and the pathological damage in lung tissue was exacerbated. CONCLUSIONS ATR inhibits airway inflammation by suppressing the activity of the JNK/p38 MAPK signaling pathway， thereby improving lung tissue damage in AECOPD rats.

Objective To investigate the neuroprotective effect of Dendrobium nobile Lindl(DNL)extract in a Caenorhabditis elegans(C.elegans)model of Parkinson's disease(PD).Methods C.elegans NL5901 and 6-hydroxydopamine(6-OHDA)induced N2,BZ555,PD4521,and CB7272 C.elegans strains were treated with DNL 7.5,15,and 30 mg/L.The survival rate,basal slowing response rate,α-synuclein(α-syn)aggregation,dopaminergic neurons(DNs),mitochondrial distribution density of body wall muscle cells,and protein levels in the membrane were observed.In addition,reactive oxygen species(ROS),superoxide dismutase(SOD)and glutathione(GSH)in 6-OHDA induced N2 was detected to explore the effect of DNL on the antioxidative stress ability of PD C.elegans models.Results Compared with that in the model group,the DN fluorescence intensity was significantly increased in nematodes treated with DNL and levodopa(L-DOPA)(P＜0.05,P＜0.0001),α-syn aggregation was significantly decreased(P＜0.05,P＜0.001,P＜0.0001),the basal slowing rate(P＜0.05,P＜0.01,P＜0.001),mitochondrial density(P＜0.05,P＜0.01,P＜0.001),mitochondrial intima protein content(P＜0.05,P＜0.001,P＜0.0001),SOD content(P＜0.05),and GSH content were all increased.The ROS content was reduced in nematodes(P＜0.01).The lifespans of N2 wild-type and PD C.elegans models were prolonged after DNL treatment(P＜0.05,P＜0.01,P＜0.001).Conclusions DNL can effectively improve motor paralysis in a C.elegans PD model,improve DN degradation,inhibit α-syn aggregation and neuronal damage,increase the antioxidative stress ability,and slow the aging process in C.elegans.

Objective:To explore the effects of a tiered-categorized-integrated training model in standardized neurology residency training.Methods:This controlled before-and-after study enrolled 109 residents who rotated in the Department of Neurology of Renji Hospital of Shanghai Jiao Tong University School of Medicine from January 2023 to June 2024. Among them, 43 residents from January to July 2023 were assigned to control group to receive the traditional training model, while 66 residents from August 2023 to June 2024 were assigned to observation group to follow the competency-oriented tiered-categorized-integrated training protocol. In the observation group, the residents were categorized into neurology specialty and non-neurology specialty groups to follow a competency-based hierarchical and progressive training approach with systematical optimization and resource integration in terms of faculty allocation, training activities, and assessment evaluations. The effectiveness of the models was evaluated through semi-annual assessments (for neurology specialty), routine assessments and end-of-rotation assessments (for non-neurology specialty), and 360-degree evaluations. SPSS 26.0 was used to perform chi-square tests and t-tests. Results:The non-neurology specialty residents in the observation group significantly outperformed the control group in the total score of end-of-rotation assessments [(90.93±4.21) vs. (86.08±8.98), P=0.004], theoretical examinations [(16.47±2.47) vs. (13.55±5.34), P=0.003], clinical skills [(9.32±0.47) vs. (9.00±0.58), P=0.004], and case analysis [(86.75±5.95) vs. (82.64±11.20), P=0.047]. The neurology specialty residents in the observation group showed a significantly higher physical examination score than the control group [(87.50±8.66) vs. (75.00±8.17), P=0.040]. Furthermore, in the 360-degree evaluation, the observation group exhibited better performance in certain assessment indicators of core competencies, including professional ability, patient management, professionalism, and communication and cooperation ( P<0.05). Conclusions:The tiered-categorized-integrated training model helps residents to better grasp basic knowledge and skills in rotations, and also enhances their core competencies such as professional ability, patient management, and communication and cooperation. This model provides a replicable practical solution for clinical departments to achieve efficient and precise rotation management within the constraints of limited resources.

Elderly patients are a crucial population for medical treatment and referral.The establishment of standardized and efficient referral channels is essential for enhancing the referral process, improving treatment outcomes for the elderly, and optimizing the allocation of medical resources.Referral network analysis examines the integrity, structure, and dynamics of referrals to infer the characteristics of the network.This can offer insights for enhancing referral policies and elevating medical service standards.While existing research predominantly concentrates on referral networks within the general population, there is a noticeable gap in studies focusing on elderly patients.This review article assesses domestic and international research on networks formed between medical institutions or physicians through patient referrals, aiming to inform and enhance referral policies in our country.

Objective To analyze the influencing factors of malnutrition in patients with lung cancer undergoing chemotherapy,and construct a predictive nomogram model according to the results.Methods A retrospective analysis was made on 100 patients with lung cancer who received postoperative chemotherapy in our hospital from March 2022 to April 2024.After all the patients had completed five cycles of chemotherapy,the incidence of malnutrition was counted.According to the nutritional evaluation results,the patients were divid-ed into two groups:well-nourished group and malnourished group.The clinical data of patients were compared and the related influen-cing factors were screened by Logistic regression analysis.The nomogram model for risk prediction of malnutrition risk of lung cancer pa-tients undergoing chemotherapy was constructed,and the predictive value and fitting degree of the model were evaluated by drawing the re-ceiver operating characteristic(ROC)curve and calibration curve.Results There were 29 cases of malnutrition in 100subjects,and the other 71 patients had normal nutritional status.Among the general data with significant differences between the two groups,TNM is stageⅣ(OR=2.275,95％CI:1.242-4.169),Accompanied by digestive system adverse reactions(OR=2.142,95％CI:1.133-4.050),Low albumin(OR=2.601,95％CI:1.370-4.937),Low hemoglobin(OR=2.697,95％CI:1.483-4.903),Low prealbumin(OR=2.686,95％CI:1.460-4.941)is a risk factor for malnutrition in patients with lung cancer undergoing chemotherapy(P＜0.05).Based on the above related risk factors,a nomogram model was established to predict the occurrence of malnutrition in patients with lung cancer undergoing chemotherapy.ROC curve analysis showed that the AUC value and 95％CI of the model for predicting malnutrition in patients with lung cancer undergoing chemotherapy were 0.972 and 0.918-0.995.The calibration curve results show that the nomogram model has a good fitting degree.Conclusion TNM is stage Ⅳ,accompanied by digestive system adverse reactions,low KPS score before chem-otherapy and low levels of albumin,hemoglobin and prealbumin are all related risk factors for malnutrition in patients with lung cancer un-dergoing chemotherapy.The nomograph model based on this is also of high predictive value.

Purpose: Cancer has become a significant major public health concern, making the discovery of new cancer markers or therapeutic targets exceptionally important. Elevated expression of tumor necrosis factor receptor superfamily member 12A (TNFRSF12A) expression has been observed in certain types of cancer. This project aims to investigate the function of TNFRSF12A in tumors and the underlying mechanisms. Materials and Methods: Various websites were utilized for conducting the bioinformatics analysis. Tumor cell lines with stable knockdown or overexpression of TNFRSF12A were established for cell phenotyping experiments and subcutaneous tumorigenesis in BALB/c mice. RNA-seq was employed to investigate the mechanism of TNFRSF12A. Results: TNFRSF12A was upregulated in the majority of cancers and associated with a poor prognosis. Knockdown TNFRSF12A hindered the colorectal cancer progression, while overexpression facilitated malignancy both in vitro and in vivo. TNFRSF12A overexpression led to increased nuclear factor кB (NF-κB) signaling and significant upregulation of baculoviral IAP repeat containing 3 (BIRC3), a transcription target of the NF-κB member RELA, and it was experimentally confirmed to be a critical downstream factor of TNFRSF12A. Therefore, we speculated the existence of a TNFRSF12A/RELA/BIRC3 regulatory axis in colorectal cancer. Conclusion TNFRSF12A is upregulated in various cancer types and associated with a poor prognosis. In colorectal cancer, elevated TNFRSF12A expression promotes tumor growth, potentially through the TNFRSF12A/RELA/BIRC3 regulatory axis.

Objective To analyze the status quo of cognitive frailty (CF) in community elderly patients with chronic obstructive pulmonary disease (COPD) and its correlation with sleep quality, anxiety and depression. Methods Elderly patients with COPD receiving health management in the center were selected from July 2023 to June 2024. The general data of patients were collected and Mini-Mental State Examination (MMSE), Fried Frailty Phenotype (FP), Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety and Depression Scale (HADS) were used for investigation, and the above scores were analyzed. All patients were divided into CF group (n=129) and non-CF group (n=319) according to MMSE score and FP score. Univariate and multivariate logistic analyses were used to analyze the influencing factors of CF in elderly COPD patients. Results Pearson correlation analysis showed that MMSE score was significantly negatively correlated with PSQI score and HADS score in elderly COPD patients (P<0.05), and FP score was significantly positively correlated with PSQI score and HADS score (P<0.05). After logistic regression analysis, it was found that education level, marital status and sleep time were protective factors of CF in elderly COPD patients (P<0.05), and PSQI score and HADS score were risk factors of CF in elderly patients with COPD (P<0.05). Conclusion CF in community elderly COPD patients is related to sleep quality, sleep duration and anxiety and depression. It is necessary to take clinical measures to improve the sleep quality and psychological status, so as to avoid or slow down the occurrence of CF.