BACKGROUND:At present,osteoarthritis has become a major disease affecting the quality of life of the elderly,and the therapeutic effect is poor,often focusing on preventing the disease process,and the pathogenesis of osteoarthritis is still not fully understood.Bioinformatics analysis was carried out to explore the main pathogenesis of osteoarthritis and related mechanisms of gene coding regulation. OBJECTIVE:To screen core differential genes with a major role in osteoarthritis by gene expression profiling. METHODS:Datasets were downloaded from the Gene Expression Omnibus(GEO):GSE114007,GSE117999,and GSE129147.Differential genes in the GSE114007 and GSE117999 data collections were screened using R software,performing differential genes to weighted gene co-expression network analysis.The module genes most relevant to osteoarthritis were selected to perform protein interaction analysis.Candidate core genes were selected using the cytocape software.The candidate core genes were subsequently subjected to least absolute shrinkage and selection operator regression and COX analysis to identify the core genes with a key role in osteoarthritis.The accuracy of the core genes was validated using an external dataset,GSE129147. RESULTS AND CONCLUSION:(1)A total of 477 differential genes were identified,265 differential genes associated with osteoarthritis were obtained by weighted gene co-expression network analysis,and 8 candidate core genes were identified.The least absolute shrinkage and selection operator regression analysis finally yielded a differential gene ASPM with core value that was externally validated.(2)It is concluded that abnormal gene ASPM expression screened by bioinformatics plays a key central role in osteoarthritis.

In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/administration & dosage* ; Machine Learning ; Algorithms ; Humans ; Quality Control

The scientific and standardized evaluation of clinical efficacy of traditional Chinese medicine(TCM) is the core requirement for promoting the high-quality development of TCM. Building a recognized evaluation outcome system that conforms to the clinical efficacy characteristics of TCM is a key fundamental issue in the production and transformation of clinical evidence in TCM. In response to the heterogeneity of evaluation outcomes and core issues such as "western law in the middle", the research on the core outcome set of TCM(COS-TCM) has undergone more than ten years of exploration and practice. Its methodological system has continued to deepen under the coordinated development of theoretical basis, technical methods, platform support, and talent team, achieving an important leap from early introduction to standardized system construction and entering a new stage of systematic development. However, the overall research scale, quality, and the translation and application of research results in COS-TCM are still insufficient. In response to the opportunities and challenges of the new development stage, this article systematically reviews the development history and research status of COS-TCM, clarifies the basic principles of "international standards + TCM characteristics" and the key tasks of "selection, improvement, and creation", and proposes a three-step development path of "exploration and research, standard development, and regulatory transformation" to promote the standardization, systematization, and scientific development of related research. To ensure the effective implementation of research results, key promotion strategies such as upgrading research platforms, strengthening support systems, and optimizing collaborative mechanisms have been planned to drive COS-TCM to better serve clinical research, evidence translation, and new drug review.
Medicine, Chinese Traditional/methods* ; Humans ; Drugs, Chinese Herbal/standards*

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Objective To achieve comprehensive quality control throughout the entire process of electronic medical re-cords,a large general hospital has implemented an artificial intelligence-based closed-loop system for medical record quality con-trol.Methods By establishing a database of medical record quality control rules and integrating it with artificial intelligence technology and a closed-loop management mode,an intelligent closed-loop system for medical record quality control was formed.This system comprised pre-emptive alerts,real-time monitoring and warning during patient care,post-event feedback and im-provement mechanisms,as well as multi-dimensional statistical analysis.Results The system achieved full-sample coverage for medical record quality control,with quality indicators related to medical records showing a steady improvement.Conclusion The application of the artificial intelligence-based closed-loop system for medical record quality control can significantly improve the quality of electronic medical records,as well as the efficiency and effectiveness of the medical records department,enhancing the hospitals level of refined management.

OBJECTIVE To analyse the prognosis and laryngeal function retention of patients undergoing minimally invasive and open surgery after induction chemotherapy.METHODS The clinical data of 54 hypopharyngeal carcinoma patients who received induction chemotherapy and underwent laryngeal preservation surgery in Beijing Tongren Hospital from 2016 to 2022 were retrospectively analyzed.The laryngeal function recovery and survival rate were compared between the two groups.RESULTS Twenty-eight patients underwent transoral minimally invasive surgery and 26 patients underwent partial laryngectomy and/or partial laryngectomy via external cervical approach.The 3-year survival rates of the two groups were 63%and 59%,respectively,and the difference was not statistically significant(P＞0.05).The differences were statistically significant(P＜0.05).CONCLUSION In patients with downstaged hypopharyngeal carcinoma after induction chemotherapy,the survival rate of transoral minimally invasive surgery is similar to that of open surgery,and the laryngeal function recovery of transoral minimally invasive surgery is better.

In this paper, the antitussive and expectorant activity of platycodin D (PD) were studied by constructing a mouse cough induced by concentrated ammonia water and a mouse trachea phenol red excretion model. The mechanism of antitussive and expectorant effect of PD was studied by metabolomics. The animal experiment was approved by the Animal Ethics Committee of Jiangxi University of Chinese Medicine (approval number: JZLLSC-20220739). Then mice were randomly divided into the normal, model, positive drug, PD low-dose, PD medium-dose and PD high-dose group. The antitussive and expectorant effects of PD were evaluated using a cough mouse model induced by concentrated ammonia water and a mouse tracheal phenol red excretion model, respectively. UHPLC-LTQ-Orbitrap-MS was used to identify the metabolites of mouse lung tissue, and multivariate statistical analysis method of orthogonal partial least squares discriminant analysis (OPLS-DA) was used for metabolites profile analysis. The differential metabolites were screened by variable projected importance value (VIP) and t-test results. Pathways for enrichment of differentiated metabolites were analyzed using the MetaboAnalyst platform. The comparative method was applied to analyze the differences in mechanisms of PD, Deapio-platycodin D (DPD) and total platycosides fraction. The results showed that PD at different concentrations could significantly prolong (P < 0.05) the incubation period of cough mice induced by ammonia water, reduce the coughs frequency, and significantly increase (P < 0.05) the amount of phenol red excretion in phenol red excretion model mice. PD could regulate 6 metabolic pathways of phenylalanine, tyrosine and tryptophan biosynthesis, linoleic acid metabolism, phenylalanine metabolism, glycerophospholipid metabolism, and tyrosine metabolism to exert antitussive effect. It could also regulate 8 metabolic pathways of linoleic acid metabolism, glyoxylic acid and dicarboxylic acid metabolism, glycerol phospholipid metabolism, citric acid cycle and arachidonic acid metabolism to exert an expectorant effect. However, only linoleic acid metabolism and glycerophospholipid metabolism could be regulated by the PD, total platycosides fraction and DPD, which may be ascribed to the structural difference of the platycosides and the interaction between platycosides and the intestinal microbiota. Functional analysis showed that these metabolic pathways are closely related to the regulatory mechanisms of anti-inflammatory response, immune function regulation, neurotransmitter release, cell signal transduction, energy metabolism and cell apoptosis. This study shows that PD possesses good antitussive and expectorant activities. In addition, the mechanism difference of PD, total platycosides fraction and DPD imply that the apiose in PD and the interaction between PD and intestinal microbiota could exert an important effect on the antitussive and expectorant mechanism of the platycosides.

Objective To deeply explore the principles of drug combinations in the treatment of vitiligo by traditional Chinese medicine master XUAN Guo-Wei by data mining technology,and to analyze the potential mechanism of action of the core drug pairs by network pharmacology.Methods The original case records of Professor XUAN Guo-Wei in treating vitiligo were compiled,and then TCM inheritance Computing Platform was used to analyze the frequency of drugs in the prescriptions,the association rules between drugs,and the core combinations of drugs by the association rule method,and the core drug pairs of Professor XUAN Guo-Wei's treatment of vitiligo were obtained based on the results of the data mining,additionally,the mechanism of the core pairs of drugs was analyzed by using the method of network pharmacology.Results A total of 243 prescriptions were collected,among which the high-frequency drugs were Glycyrrhizae Radix et Rhizoma,Tribuli Fructus,Ecliptae Herba,Cuscutae Semen,Scrophulariae Radix,Angelicae Dahuricae Radix,etc.,and the core pair was Tribuli Fructus-Ecliptae Herba.The main components of Tribuli Fructus-Ecliptae Herba for the treatment of vitiligo were quercetin,kaempferol,etc.,there were 47 targets for the intersection of the active ingredients with the disease,among which TP53,TNF,IL-1β,CASP3,VEGFA,PTGS2,IL10,IL2,IFNG,and IL4 may be the core targets for the treatment of vitiligo by Tribuli Fructus-Ecliptae Herba.The main pathways of Tribuli Fructus-Ecliptae Herba drug pairs against the disease were PI3K-Akt signaling pathway,NF-κB signaling pathway,JAK-STAT signaling pathway and MAPK signaling pathway.Conclusion The core drug pair of Professor XUAN Guo-Wei in the treatment of vitiligo is Tribuli Fructus-Ecliptae Herba,which involves targets such as TP53,TNF,IL-1β,CASP3,VEGFA,PTGS2,IL10,IL2,IFNG,IL4,etc.,Tribuli Fructus-Ecliptae Herba drug pair maybe exert an effect in the treatment of vitiligo through PI3K-Akt signaling pathway,NF-κB signaling pathway,JAK-STAT signaling pathway and MAPK signaling pathway.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

Objective:To explore the early effects and safety of using a hybrid fixation strategy with 3D-printed porous tantalum metal augments to reconstruct substantial bone defects in complex primary total knee arthroplasty (TKA).Methods:A retrospective analysis was performed on the clinical data from August 2019 to September 2023, encompassing 20 patients (21 knees) with significant bone loss who underwent hybrid fixation with 3D-printed porous tantalum augments. The procedures were conducted at two medical centers: the First Affiliated Hospital, School of Medicine, Zhejiang University (11 cases) and Xiangya Hospital of Central South University (9 cases). The study cohort comprised 6 males (6 knees) and 14 females (15 knees), with a mean age of 61.05±11.23 years (range, 42-80 years). The distribution of cases was 7 on the left side and 14 on the right side. All cases were categorized as type 3 according to the Anderson Orthopaedic Research Institute (AORI) classification system. The cohort included 19 unilateral and 1 bilateral case, with 5 involving complex primary replacements (3 with Charcot arthropathy, 1 with syphilitic arthropathy, and 1 with severe valgus deformity) and 16 revision surgeries (13 for aseptic loosening and 3 for infection). Preoperative assessments included routine CT scans and digital three-dimensional reconstructions to identify large metaphyseal defects exceeding 50% of the metaphyseal area or those thicker than 10 mm. For such defects, 3D-printed standardized porous tantalum augments were implemented. In cases of extensive cavitary bone defects or severe metaphyseal defects where the medial and lateral defects collectively exceeded 80% of the metaphyseal region or where the residual bone stock was insufficient for screw fixation of standardized augments, 3D-printed personalized custom-made porous tantalum augments were employed for hybrid fixation and repair. Comparative analyses were conducted on pre- and postoperative imaging data (prosthesis positioning and complications), knee range of motion (ROM), visual analogue scale (VAS) for pain, and Knee Society score (KSS).Results:Of the cases, 17 were repaired using standardized 3D-printed porous tantalum augments, while 4 underwent repairs with customized augments for hybrid fixation. Follow-up averaged 26.5±15.0 months (range, 12-62 months). There was a significant increase in knee ROM, improving from 72.8°±31.9° preoperatively to 113.2°±6.8° at 12 months postoperatively ( P<0.05). VAS scores decreased from 6.6±1.4 preoperatively to 2.5±1.0 at 12 months postoperatively ( P<0.05). Similarly, KSS improved from 52.8±6.4 preoperatively to 80.7±7.9 at 12 months postoperatively ( P<0.05). There were no incidences of prosthesis displacement, poor bone integration, or postoperative infections. Conclusion:The hybrid fixation strategy employing 3D-printed porous tantalum augments has been found to be effective in addressing significant bone defects in TKA. The follow-up results indicate a satisfactory biological integration of the porous tantalum metal augments with the host bone, which has resulted in substantial improvements in pain relief and knee joint functionality.