OBJECTIVE To explore and establish a full-cycle management model for drug traceability codes that aligns with national policy requirements and the practical needs of healthcare institutions， thereby enhancing the refinement of drug management and the level of medication safety. METHODS A tripartite strategy integrating “hardware deployment， system transformation， and process re-engineering” was adopted. This involved the introduction of intelligent identification devices （personal digital assistant， high-definition industrial reader）， the modification of the hospital information system interface， and the re-engineering of workflows （drug warehousing， dispensing and distribution， drug withdrawal， uploading to the insurance platform） to achieve comprehensive， informatized collection and association of drug traceability codes throughout all stages. RESULTS A full-cycle management model for drug traceability codes was successfully established， realizing the goals of making drugs “traceable to their source， trackable in their distribution， and accountable in their responsibility”. The patient waiting time for medication dispensing before and after the implementation was [3.08（1.67，5.58）] min and [3.28（1.77，5.98）] min， respectively. Among them， the patient waiting time under the pre-preparation mode was [3.60（2.13，6.35）] min and [3.50（2.03，6.30）] min， respectively； the patient waiting time under the real-time mode was [2.05（0.83，4.03）] min and [2.78（1.18，5.38）] min， respectively； the number of dispensing errors was 3， 0， respectively； the staffing of relevant positions had not been increased. CONCLUSIONS The drug traceability code management model constructed from a full-cycle perspective effectively meets national policy requirements. It provides data support for refined hospital management and offers solid technical and procedural safeguards for ensuring patient medication safety and strengthening medical insurance fund supervision， demonstrating practical value.

BACKGROUND: Disease-modifying therapies have been approved for the treatment of relapsing multiple sclerosis (RMS). The present study aims to examine the safety of teriflunomide in Chinese patients with RMS. METHODS: This non-randomized, multi-center, 24-week, prospective study enrolled RMS patients with variant (c.421C>A) or wild type ABCG2 who received once-daily oral teriflunomide 14 mg. The primary endpoint was the relationship between ABCG2 polymorphisms and teriflunomide exposure over 24 weeks. Safety was assessed over the 24-week treatment with teriflunomide. RESULTS: Eighty-two patients were assigned to variant ( n  = 42) and wild type groups ( n  = 40), respectively. Geometric mean and geometric standard deviation (SD) of pre-dose concentration (variant, 54.9 [38.0] μg/mL; wild type, 49.1 [32.0] μg/mL) and area under plasma concentration-time curve over a dosing interval (AUC tau ) (variant, 1731.3 [769.0] μg∙h/mL; wild type, 1564.5 [1053.0] μg∙h/mL) values at steady state were approximately similar between the two groups. Safety profile was similar and well tolerated across variant and wild type groups in terms of rates of treatment emergent adverse events (TEAE), treatment-related TEAE, grade ≥3 TEAE, and serious adverse events (AEs). No new specific safety concerns or deaths were reported in the study. CONCLUSION: ABCG2 polymorphisms did not affect the steady-state exposure of teriflunomide, suggesting a similar efficacy and safety profile between variant and wild type RMS patients. REGISTRATION NCT04410965, https://clinicaltrials.gov .
Humans ; Crotonates/adverse effects* ; Toluidines/adverse effects* ; Nitriles ; Hydroxybutyrates ; Female ; Male ; Adult ; ATP Binding Cassette Transporter, Subfamily G, Member 2/genetics* ; Middle Aged ; Multiple Sclerosis, Relapsing-Remitting/genetics* ; Prospective Studies ; Young Adult ; Neoplasm Proteins/genetics* ; East Asian People

Objective:This article reports a case of right sinonasal teratocarcinosarcoma. The patient was admitted to the hospital with symptoms of persistent nasal obstruction in both nostrils. Nasal endoscopy revealed the presence of new growths in the right nasal cavity and nasopharynx. Sinus CT imaging showed that the nasal cavity, paranasal sinuses, and nasopharynx were filled with soft tissue density shadows, with evidence of bone destruction. Transnasal endoscopic sinonasal surgery was performed, and postoperative pathology, along with immunohistochemical results, confirmed a diagnosis of sinonasal teratocarcinosarcoma. This case is analyzed, and relevant literature is reviewed.
Humans ; Carcinosarcoma ; Paranasal Sinus Neoplasms ; Nose Neoplasms ; Male ; Teratoma ; Middle Aged

This study investigated the role of the nuclear factor of activated T cells c3 (NFATc3) in vascular smooth muscle cells (VSMCs) during aortic aneurysm and dissection (AAD) progression and the underlying molecular mechanisms. Cytoplasmic and nuclear NFATc3 levels were elevated in human and mouse AAD. VSMC-NFATc3 deletion reduced thoracic AAD (TAAD) and abdominal aortic aneurysm (AAA) progression in mice, contrary to VSMC-NFATc3 overexpression. VSMC-NFATc3 deletion reduced extracellular matrix (ECM) degradation and maintained the VSMC contractile phenotype. Nuclear NFATc3 targeted and transcriptionally upregulated matrix metalloproteinase 9 (MMP9) and MMP2, promoting ECM degradation and AAD development. NFATc3 promoted VSMC phenotypic switching by binding to eukaryotic elongation factor 2 (eEF2) and inhibiting its phosphorylation in the VSMC cytoplasm. Restoring eEF2 reversed the beneficial effects in VSMC-specific NFATc3-knockout mice. Cabamiquine-targets eEF2 and inhibits protein synthesis-inhibited AAD development and progression in VSMC-NFATc3-overexpressing mice. VSMC-NFATc3 promoted VSMC switch and ECM degradation while exacerbating AAD development, making it a novel potential therapeutic target for preventing and treating AAD.

Objective To observe the effects of tuina of"three methods and three acupoints"on skeletal muscle α-actin,myostatin(MSTN)and atrophy gene 1(Atrogin1)expression of sciatic nerve injury(SNI)rats;To explore the mechanism of tuina therapy on motor dysfunction.Methods Male SD rats were randomly divided into blank group,sham-operation group,model group and tuina group,with 9 rats in each group.SNI model was established by clamp method in rats of the model group and tuina group.The sciatic nerve was exposed without clamping in rats of the sham-operation group,the blank group was not intervened.7 days after the operation,the intelligent tuina manipulation simulator was used to simulate the point method,dial method and knead method,which were applied to the"Yinmen"(BL37),"Chengshan"(BL57)and"Yanglingquan"(GB34)of rats in the tuina group,once a day,for 20 times.The rats in the sham-operation group and the model group were only grasped and restrained.Rats in the blank group did not receive any intervention.The hind limb muscle strength were evaluated by inclined plate test before modeling,after 10 interventions and 20 interventions.After the intervention,the rats were euthanized.The expressions of α-actin in gastrocnemius muscle tissue were detected by immunofluorescence staining,the expressions of MSTN,Atrogin1 mRNA and protein in gastrocnemius muscle tissue were detected by RT-PCR and Western blot.Results Compared with the blank group and sham-operation group,the model group showed a decrease in hind limb muscle strength(P<0.01),a significant decrease in α-actin expression in gastrocnemius muscle tissue(P<0.01),and a significant increase in MSTN,Atrogen1 mRNA and protein expression(P<0.05,P<0.01).Compared with the model group,the hind limb muscle strength in tuina group significantly increased(P<0.01),the expressions of α-actin significantly increased(P<0.01),and the expressions of MSTN,Atrogin1 mRNA and protein significantly decreased(P<0.05,P<0.01).Conclusion"Three methods and three acupoints"tuina can improve hind limb muscle strength and restore motor function of SNI rats,which is related to the down-regulation of MSTN and Atrogin1 as well as increasing the expression of α-actin in gastrocnemius muscles.

Objective:To analyze the epidemiological and clinical characteristics of respiratory pathogens in China.Methods:This study was a cross-sectional study, which encompassed 19 core units of the clinical pathogen network and established a three-tiered clinical pathogen surveillance system. Thirty respiratory samples were collected every two weeks from various units from January to December 2024, and the clinical and pathogen diagnostic information were gathered. A total of 11 864 samples were tested using this system. The tier-1 clinical pathogen surveillance system covered influenza A virus (Flu-A), influenza B virus (Flu-B), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The tier-2 clinical pathogen surveillance system focused on 18 key respiratory pathogens. The tier-3 clinical pathogen surveillance system further clarified whether any emerging infectious diseases had occurred.Results:The tier-1 clinical pathogen surveillance system showed Flu-A predominated in December, Flu-B predominated in January, SARS-CoV-2 peaked in March and August, whereas RSV circulated sporadically throughout the year. Geographic trends were broadly consistent across the seven major regions, although Flu-A detection in December was notably higher in Northeast China (48.1%(111/231)) and East China (36.2%(148/409)), and RSV detection was concentrated in the Northwest and South China from January to March. Data from the tier-2 clinical pathogen surveillance system indicated that Streptococcus pneumoniae, Mycoplasma pneumoniae, rhinovirus, and adenovirus were detected year-round, of these, Streptococcus pneumoniae and rhinovirus showed elevated positive detection rates from August to September, while adenovirus peaked in January. Legionella pneumophila was not detected throughout the year, and other pathogens fluctuated throughout the year without a consistent pattern. The predominant etiologic agents of pediatric pneumonia were Mycoplasma pneumoniae (35.0%(105/300)), rhinovirus (25.7%(77/300)), and adenovirus (17.3%(52/300)), whereas adult pneumonia was mainly caused by Streptococcus pneumoniae (10.5%(29/277)), Staphylococcus aureus (6.9%(19/277)), Mycoplasma pneumoniae (6.9%(19/277)), and Flu-A (6.1%(17/277)). The tier-3 clinical pathogen surveillance system did not identify any emerging respiratory pathogens. Conclusion:Respiratory pathogens in China in 2024 exhibit distinct temporal and spatial distribution patterns and vary among different populations.

Objective:To explore the value of ultrasound features modified version 2022 of the Ovarian-Adnexal Imaging Reporting and Data System（O-RADS）Category 4 in the differential diagnosis of benign and malignant ovarian-adnexal tumors.Methods:Retrospective analysis was conducted in 501 cases with ovarian masses classified into 4 categories according to the 2022 version of O-RADS who were collected from 4 clinical centers［the Second Afliated Hospital of Harbin Medical University（188 cases），Zhejiang Provincial People's Hospital（146 cases），Sichuan Provincial Maternity and Child Health Care Hospital（90 cases），and Fuling Hospital of Chongqing University（77 cases）］from January 2018 to July 2024 with concomitant surgical resection.The 424 cases from 3 of the clinical centers（the Second Hospital of Harbin Medical University，Zhejiang Provincial People's Hospital，and Sichuan Maternal and Child Health Hospital）were randomly divided into a training group（339 cases）and an internal validation group（85 cases）according to an 8∶2 randomization，while the cases from the other clinical center（Fuling Hospital of Chongqing University）were selected as the external validation group（77 cases），and the pathological diagnosis was used as the “gold standard”.Univariate and multifactorial logistic regression analyses were performed on the ultrasound characteristics of the training group to screen the independent predictors associated with ovarian carcinogenesis，and to formulate the stratification rules for the 4 types of masses in O-RADS. The ROC curve of this stratification method was plotted and the area under the curve（AUC）was calculated，and it was validated in the internal validation group and the external validation group；and the diagnostic accuracy was compared with that of the 2022 version of O-RADS.Results:Univariate logistic analysis showed that cysts with solid components，≥ 4 papillary projections，smooth inner wall of the cyst，color flow score ≥ 3 points，and acoustic shadowing were independent predictors of ovarian cancer（all P < 0.05）；while multifactorial logistic analysis showed that cysts with a solid component and a color flow score ≥3 points were independent risk factors of ovarian cancer（all P < 0.05），and smooth cyst walls and acoustic shadows were independent protective factors（all P < 0.05）.The diagnostic accuracies of the modified training group，internal validation group，and external validation group were 73.7%，68.2%，70.1%，respectively，which were significantly higher than the diagnostic accuracies of the 2022 version of the O-RADS（38.9%，37.6%，33.8%）（all P < 0.05）.The diagnostic sensitivity，specificity and AUC of the training group were 0.871，0.652，0.762，respectively，while the internal validation group were 0.844，0.585，0.714，and 0.846，0.627，0.737 in the external validation group. Conclusions:Improvement of the 2022 version of O-RADS category 4 using ultrasound features may improve the identification of benign and malignant ovarian-adnexal tumors.

Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.

BACKGROUND:Various proteins,signaling pathways,and inflammatory mediators are involved in the pathophysiological process of osteoarthritis.The development of small molecule drugs targeting these proteins,signaling pathways,and inflammatory mediators can effectively delay the progression of osteoarthritis and ameliorate its clinical manifestations. OBJECTIVE:To review the research progress of small molecule drugs in the treatment of osteoarthritis based on the pathogenesis of osteoarthritis. METHODS:PubMed,CNKI,and WanFang databases were searched with English search terms"osteoarthritis,arthritis,osteoarthrosis,degenerative,arthritides,deformans,small molecule drugs,small molecule inhibitors,small molecule agents"and Chinese search terms"osteoarthritis,small molecule drugs,small molecule inhibitors."A total of 68 articles were included for review according to the inclusion and exclusion criteria. RESULTS AND CONCLUSION:(1)Currently,studies concerning the pathogenesis of osteoarthritis remain unclear.The occurrence and development of osteoarthritis are strongly associated with proteins,cytokines,and signal transduction pathways,so its therapeutic mechanism is relatively complex.Currently,targeting proteins,cytokines,and signal transduction pathways related to osteoarthritis with small molecule drugs has become a major research focus.(2)Small molecule drugs frequently possess visible intracellular or extracellular targets and efficacy,containing enhancing cartilage repair,resisting joint degradation,attenuating inflammation,and relieving pain.Other anti-osteoarthritis small molecule drugs have shown promise in promoting stem cell chondrogenic differentiation and cartilage matrix reconstruction.(3)At present,small molecule drugs targeting the pathophysiological process of osteoarthritis to delay the progression of osteoarthritis are still in the experimental stage,but most of these small molecule drugs have shown the expected results in the experimental process,and there are no relevant studies to illustrate the efficacy of small molecule drugs in the treatment of osteoarthritis.(4)Small molecule drugs for the treatment of osteoarthritis have reached the expected experimental results in the basic experimental stage.Numerous studies have exhibited that small molecule drugs can target the suppression of specific proteins,cytokines,and signal transduction pathways that cause osteoarthritis,so as to treat osteoarthritis.Nevertheless,its safety and effectiveness still need to be identified by further basic and clinical studies.This process needs to be investigated and studied by more scholars.(5)At present,many scholars in and outside China have made contributions to the treatment of osteoarthritis.Compared with traditional treatment methods,small molecule drugs reveal better efficacy and safety in the basic experimental stage,and it is expected to become an emerging method for the treatment of osteoarthritis in the future to rid patients of pain.

Objective: To investigate the effects of “Three Methods and Three Acupoints” (TMTP) Tuina therapy on spinal microcirculation in sciatic nerve injury (SNI). Methods: Thirty-six Sprague–Dawley rats were randomly assigned to four groups: normal, sham operation, model, and TMTP Tuina. Successful model induction was confirmed by observable hind limb lameness. After 20 sessions, hind limb grip strength and motor nerve conduction velocity (MNCV) were measured at baseline and following the 10th and 20th intervention. CD31 and α-SMA in the ventral horn of SNI model rats were detected using immunofluorescence. Motor neurons in the ventral horn were detected by Nissl staining. PTEN levels in the ventral horn were measured by ELISA, and PI3K, Akt, BDNF, VEGF, and HIF-1α expression was determined by RT-PCR. Spinal cord microcirculation was evaluated by western blotting analysis of the levels of Akt, p-Akt, BDNF, and VEGF. Results: Hind limb grip strength and MNCV significantly improved in the TMTP Tuina group compared to the model group (both P < .001). Morphology of ventral horn motor neurons in the TMTP Tuina group improved compared to the model group, with increased expressions of α-SMA (P = .002) and CD31 (P = .006). Western blot analysis indicated increased expression of VEGF (P = .005), p-Akt (P < .001), and BDNF (P = .008) in the ventral horn following Tuina treatment. RT-PCR analysis revealed increased expression of PI3K, Akt, BDNF, VEGF and HIF-1α (all P < .05). In contrast, expression of PTEN decreased compared to the model group (P < .001). Conclusion TMTP Tuina therapy may restore motor function in rats, enhance ventral horn motor neuron morphology, and promote angiogenesis and vascular smooth muscle proliferation. The mechanism may involve the activation of the PI3K/Akt signaling pathway.