To review the randomized controlled trials (RCTs) at home and abroad on digital intelligence (DI)-driven rehabilitation in patients of neuromuscular disease, compare the effects of DI-driven rehabilitation with traditional rehabilitation, summarize the special needs and challenges faced by patients in rehabilitation of rare neuromuscular diseases, and provide evidence for the development and quality improvement of rehabilitation for rare neuromuscular diseases.

To provide references to and give suggestions to the development and optimiza-tion of Digital Intelligence (DI) technology in management of non-hospitalized patients by systematical review the application of digital technology in non-hospital settings.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

OBJECTIVE To systematically evaluate the efficacy and safety of tislelizumab in the treatment of advanced non- small cell lung cancer （NSCLC）. METHODS Computerized searches were conducted in PubMed， Embase， the Cochrane Library， CNKI， Wanfang and other Chinese and English databases to collect randomized controlled trials （RCTs） on tislelizumab for advanced NSCLC. The search period was from the establishment of the databases to December 2024. After strictly screening the literature， extracting data and conducting quality evaluations in accordance with the inclusion and exclusion criteria， a meta-analysis was performed using RevMan 5.3 and Stata 16.0 software. RESULTS A total of 18 RCTs involving 2 337 patients were included， with 1 283 in the experimental group and 1 054 in the control group. The meta-analysis results showed that the objective response rate [RR＝1.61， 95%CI （1.48， 1.75）， P＜0.000 01]， disease control rate [RR＝1.21， 95%CI （1.13， 1.29）， P＜0.000 01]， progression free survival [HR＝0.55， 95%CI （0.45， 0.66）， P＜0.000 01]， and overall survival [HR＝0.78， 95%CI（0.62， 0.97）， P＝0.03] were significantly better in the experimental group than in the control group. There was no statistically significant difference in the incidence of adverse reactions between the two groups [RR＝1.00， 95%CI （0.73， 1.37）， P＝1.00]； among the common adverse reactions， only the incidence of liver function impairment was significantly higher in the experimental group than in the control group [RR＝1.30， 95%CI （1.10， 1.54）， P＜0.01]. CONCLUSIONS Tislelizumab in combination with chemotherapy or targeted drugs significantly improves the efficacy in patients with advanced NSCLC without increasing the risk of adverse reactions overall. However， liver function should be closely monitored during treatment.

High mobility group box 1 (HMGB1), when released extracellularly, plays a pivotal role in the development of spinal cord synapses and exacerbates autoimmune diseases within the central nervous system. In experimental autoimmune encephalomyelitis (EAE), a condition that models multiple sclerosis, the levels of extracellular HMGB1 and interleukin-33 (IL-33) have been found to be inversely correlated. However, the mechanism by which IL-33 deficiency enhances HMGB1 release during EAE remains elusive. Our study elucidates a potential signaling pathway whereby the absence of IL-33 leads to increased binding of P300/CBP-associated factor with HMGB1 in the nuclei of astrocytes, upregulating HMGB1 acetylation and promoting its release from astrocyte nuclei in the spinal cord of EAE mice. Conversely, the addition of IL-33 counteracts the TNF-α-induced increase in HMGB1 and acetylated HMGB1 levels in primary astrocytes. These findings underscore the potential of IL-33-associated signaling pathways as a therapeutic target for EAE treatment.
Animals ; Encephalomyelitis, Autoimmune, Experimental/metabolism* ; Astrocytes/metabolism* ; Interleukin-33/metabolism* ; HMGB1 Protein/metabolism* ; Acetylation ; Mice, Knockout ; Mice, Inbred C57BL ; p300-CBP Transcription Factors/metabolism* ; Mice ; Spinal Cord/metabolism* ; Cells, Cultured ; Female ; Signal Transduction

To investigate the potential therapeutic effects of the myelocytomatosis oncogene(c-Myc)using pharmacogenomic data from liv-er cancer cell lines and organoids.Methods:Drug sensitivity,functional genomics,and gene expression data from cell lines were collected to assess the correlation between the expression of c-Myc and drug sensitivity.Differential expression and prognostic relevance of c-Myc in a primary liver cancer cohort were analyzed.Immunohistochemistry(IHC)staining validated c-Myc expression in liver cancer patients and cor-related it with the drug sensitivity of organoids obtained from an organoid biobank.Three c-Myc inhibitors were screened on liver cancer cell lines and organoids to test tumor-killing effects in two-and three-dimensional levels.Bioinformatics analysis was conducted to explore the role of c-Myc in targeted drug resistance.Results:Bioinformatics analyses combined with IHC staining revealed a potential regulatory role of c-Myc in the drug sensitivity of liver cancer.The expression of c-Myc in cancerous tissues was significantly higher than in para-cancerous tis-sues,and c-Myc expression was higher in patients resistant to targeted drugs than in those sensitive to targeted drugs(P<0.05).Drug screening experiments showed that c-Myc inhibitors including THZ1,ABBV-744,and JQ1 reduced cell viability in both tumor cells and tumor organoids.The combination of lenvatinib and c-Myc inhibitors exhibited significant synergistic effects(all synergy scores>1)in the SNU-739 cell line.Analysis of organoids from an organoid biobank indicated a strong association between c-Myc and stemness-mediated targeted drug resistance(R=0.87).Conclusions:c-Myc showed increased expression in patients resistant to targeted therapy,suggesting it as a novel target for drugs in liver cancer.Inhibition of c-Myc effectively killed tumors in both two-and three-dimensional ex vivo models.

Objective To explore the characteristics of TCM prescriptions for acute gouty arthritis based on data mining methods;To provide reference for clinical treatment.Methods The clinical literature on the TCM treatment of acute gouty arthritis was retrieved from CNKI,Wanfang Data,VIP and SinoMed.The obtained formulas were input into Excel 2019 to establish a database,and SPSS Modeler 18.0,SPSS Statistics 26.0 and Cytoscape 3.9.1 were used for frequency analysis,association rule analysis,clustering analysis and factor analysis.Results A total of 290 articles meeting the requirements were included,including 295 prescriptions,involving 218 kinds of Chinese materia medica,with a total frequency of 3 573 times.24 kinds of Chinese materia medica,including Coicis Semen,Phellodendri Chinensis Cortex,Atractylodis Rhizoma,Smilacis Glabrae Rhizoma,Dioscoreae Spongiosae Rhizoma,Glycyrrhizae Radix et Rhizoma,Achyranthis Bidentatae Radix were used frequently in the treatment of acute gouty arthritis.The commonly used drugs were heat-clearing drugs,moisture-clearing drugs,blood circulation-activating drugs for removing blood stasis,and wind-dampness drugs.The property was mainly cold,the taste was mainly bitter,and the meridians were mainly liver,stomach,spleen and kidney meridians.The analysis of high-frequency drug association rules obtained 22 drug combinations,among which the core drug pairs were Phellodendri Chinensis Cortex-Atractylodis Rhizoma,Coicis Semen-Atractylodis Rhizoma-Phellodendri Chinensis Cortex.Clustering analysis obtained 4 clustering methods,and factor analysis obtained 9 common factors.Conclusion The main treatment of acute gouty arthritis by TCM is clearing heat and dampness,removing blood stasis and clearing collaterals,tonifying liver and kidney,regulating spleen and stomach,which could provide reference for the clinical treatment of acute gouty arthritis.

Objective:To find out factors influencing the compliance of supportive treatment of patients with periodontitis who have received implant restoration therapy.Methods:Patients who had completed periodontal and implant restoration treatment for more than 5 years in Department of Periodontology,Pe-king University Hospital of Stomatology were subjected to inclusion between March 2022 and August 2023.A questionnaire was compiled to gather the information including patients'basic information(gen-der,age,and educational background etc.),smoking habits,general health conditions,oral hygiene habits,willingness to undertake periodontal and dental implant supportive treatment,actual fact on sup-portive treatment recorded in medical records,whether medical advices were correctly remembered,and reasons affected them to implement supportive therapy.The questionnaires were handed out to the above patients and filled during the process of follow-up treatment.Chi-square test,univariate and multivariate analysis of Logistic regression were employed to explore the correlations of these factors and the patients'compliance.Results:In the study,92 patients and questionnaires were collected and analyzed.The re-sults indicated that oral hygiene habits and whether medical advices were correctly remembered had sig-nificant correlation with compliance(P＜0.05).Time constraint(47.0％)and difficulty in appointment registration(24.8％)were the top 2 reasons obstructed them to undertake supportive treatment.Al-though the vast majority of the patients indicated willingness to perform follow-ups,55.4％of them wouldn't come back until the dentist called them back.The results of our study also indicated that the patients placed significantly less importance on the health of natural teeth than implants.Conclusion:In order to improve the compliance of supportive treatment,we suggest that dentists should put more empha-sis on oral hygiene instruction,and knowledge regarding periodontitis should also be added as part of pa-tient education contents.In the early stages of treatment,the patient should develop the habit of regular follow-up checks,More attention and patience should be given to elderly patients and those with lower level of education;use language that is easy to understand and printed medical instructions to help them remember.Patients can memorize better from refined doctors'advice,reinforcing care knowledge and refining medical advices can promote better follow-up treatment results.Motivating patients based on their characteristics is critical to improving compliance.

Objective To explore the characteristics of TCM in the treatment of asymptomatic hyperuricemia based on data mining.Methods Clinical literature on the TCM treatment of asymptomatic hyperuricemia in CNKI,Wanfang Data,VIP and SinoMed was retrieved.After screening,the prescriptions obtained were input into Excel 2019 database,and SPSS Modeler 18.0,SPSS Statistics 26.0 and Cytoscape 3.9.1 were used for frequency analysis,association rule analysis,clustering analysis and factor analysis.Results A total of 133 articles meeting the criteria were included,and 140 prescriptions were included,involving 202 kinds of Chinese materia medica,with a total frequency of 1 387 times.22 drugs,such as Smilacis Glabrae Rhizoma,Coicis Semen,Dioscoreae Spongiosae Rhizoma,Astrctylodis Rhizoma,were frequently used in the treatment of asymptomatic hyperuricemia.The commonly used drugs were drugs for urine excretion to strain off dampness,tonics,clearing heat,promoting blood circulation and removing blood stasis.The medicinal property was mainly warm,the medicinal taste was mainly sweet,and the meridians were mainly liver,spleen,stomach and kidney meridians.21 groups of medicinal combinations were obtained by high frequency drug association rule analysis,among which the core drug pairs were Coicis Semen-Astrctylodis Rhizoma,Smilacis Glabrae Rhizoma-Dioscoreae Spongiosae Rhizoma-Coicis Semen,Coicis Semen-Astrctylodis Rhizoma-Smilacis Glabrae Rhizoma,etc.Clustering analysis obtained 5 clustering methods,and factor analysis obtained 7 common factors.Conclusion In the TCM treatment of asymptomatic hyperuricemia,the main methods are urine excretion to strain off dampness,strengthening spleen and tonifying qi,and the main drugs are Smilacis Glabrae Rhizoma,Coicis Semen,Dioscoreae Spongiosae Rhizoma,Astrctylodis Rhizoma,which can provide reference for clinical treatment of asymptomatic hyperuricemia.

AIM: To observe the changes of corneal densitometry(CD)in patients with keratoconus after corneal cross-linking(CXL).METHODS: Retrospective study. A total of 32 patients(43 eyes)with keratoconus in Ningxia Eye Hospital from April 2020 to April 2022 were selected. Pentacam analysis system divided the cornea into three layers: anterior 120 μm, middle layer and posterior 60 μm, and divides it into five regions with diameters of 0-2, 2-6, 6-10, 10-12 mm and full diameter according to the diameter, and measures the CD in different ranges. The changes of CD were compared before operation and at 1, 3 and 6 mo after operation.RESULTS: There were differences in uncorrected visual acuity, best corrected visual acuity and intraocular pressure before and 6 mo after operation(all P<0.05), and there was no difference in corneal endothelial cells(P=0.477). CD reached its peak at 1 mo after operation, and decreased at 3 mo and 6 mo after operation, but it was still higher than that before operation. There is a significant positive correlation between CD and Kmax in the anterior layer and the whole layer(r=0.164, P=0.016; r=0.152, P=0.023).CONCLUSION: The values of CD peaked at 1 mo after CXL, then it gradually decreased, tending to become stable at 6 mo postoperatively.