ObjectiveTo analyze the advance of robot-assisted therapy in upper limb functions of patients with stroke. MethodsA search was conducted in the Web of Science Core Collection for literature on the application of robot-assisted therapy in upper limb functions of patients with stroke, from inception to November, 2024. Citespace 6.4.R1 was used to perform bibliometric analysis, including countries of origin, authors, institutions, subject areas, keywords and citation relationships, and knowledge mapping techniques were also utilized. ResultsA total of 198 publications in English were included, showing an upward trend in publication volume. China, Italy and the United States ranked highest in publication counts, with the University Campus Bio-Medico of Rome, Italy contributing the most. Among authors, Giulio Rosati had the highest number of publications. The top three co-occurring keywords were motor recovery, activities of daily living and neuroplasticity. Keywords with the highest citation bursts included rehabilitation robotics, virtual reality and upper limb rehabilitation. Keyword clustering identified four primary research directions: improving upper limb motor function, enhancing sensory function, increasing activities of daily living and promoting brain neuroplasticity. The research spanned several disciplines, including basic medicine, clinical medicine, biomedical engineering, rehabilitation medicine and therapy, and control science and engineering. ConclusionRobot-assisted therapy for the upper limb function in stroke patients constitutes an innovative rehabilitation approach. Current research hotspots focus on both the design of robot-assisted therapy and their effectiveness. Findings suggest that robot-assisted occupational therapy can effectively improve upper limb function, facilitate neuroplasticity, enhance activities of daily living reliant on the upper limbs, and boost patients motivation and confidence in rehabilitation. Future research should emphasize integrating robot-assisted therapy with emerging technologies such as artificial intelligence and virtual reality, to explore its potential in precise rehabilitation strategies and the development of personalized rehabilitation programs.

The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.

ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

Objective:To explore the application value of posture adaptation training combined with continuous pas-sive exercise rehabilitation for patients after coronary artery bypass grafting(CABG).Methods:A total of 100 pa-tients with coronary heart disease(CHD)undergoing CABG in our hospital were enrolled,divided into single group(n=50,received single continuous passive exercise rehabilitation intervention)and combined group(n=50,re-ceived posture adaptation training based on single group)according to color grouping method.Both groups were in-tervened for two months.Clinical indexes,cardiac function indexes,cognitive function,exercise endurance,serum levels of neuron specific enolase(NSE),S-100β protein and satisfaction were analyzed and compared between two groups.Results:Compared with single group after intervention,there were significant reductions in first out of bed time,first anal exhaust time and length of hospital stay,and significant rise in left ventricular ejection fraction(LVEF),cardiac index(CI),left ventricular fractional shortening(LVFS),score of Montreal cognitive assessment(MoCA)scale,6min walking distance,and significant reductions in serum levels of NSE[(19.93±1.90)μg/L vs.(16.59±2.25)μg/L]and S-100β protein[(6.72±0.34)μg/L vs.(3.96±0.19)μg/L]in combined group,P=0.001 all.Satisfaction in combined group was significantly higher than that of single group(94.00％vs.80.00％,P=0.037).Conclusion:Posture adaptation training combined with continuous passive exercise rehabilitation can sig-nificantly improve the clinical indexes,promote cardiopulmonary function and cognitive function recovery in pa-tients undergoing coronary artery bypass grafting after operation.

The pre-metabolic disease state is the body state of substance metabolism disorder that has not yet reached the physical and chemical indicators of the disease, and abnormal glucose metabolism is often the key link of metabolic disorder. In TCM, the healthy function of the spleen is the cornerstone of the production and distribution of fine substances. This article discussed the pre-metabolic disease state based on the theory of "overflow of Five Qi" in the Nei Jing, taking the loss of spleen preparedness as the starting point, in order to provide new ideas and directions for the prevention and treatment of clinical metabolic diseases.

Objective Data mining technology was used to mine the medication rules of the prescriptions used in the treatment of pediatric atopic dermatitis by Chinese medical master XUAN Guo-Wei.Methods The medical records of effective cases of pediatric atopic dermatitis treated by Professor XUAN Guo-Wei at outpatient clinic were collected,and then the medical data were statistically analyzed using frequency statistics,association rule analysis and cluster analysis.Results A total of 242 prescriptions were included,involving 101 Chinese medicinals.There were 23 commonly-used herbs,and the 16 high-frequency herbs(frequency＞100 times)were Glycyrrhizae Radix et Rhizoma,Saposhnikoviae Radix,Glehniae Radix,Perillae Folium,Ophiopogonis Radix,Cynanchi Paniculati Radix et Rhizoma,Microctis Folium,Dictamni Cortex,Scrophulariae Radix,Coicis Semen,Cicadae Periostracum,Lilii Bulbus,Rehmanniae Radix,Kochiae Fructus,Sclerotium Poriae Pararadicis,and Euryales Semen.The analysis of the medicinal properties showed that most of the herbs were sweet and cold,and mainly had the meridian tropism of the spleen,stomach and liver meridians.The association rule analysis yielded 24 commonly-used drug combinations and 20 association rules.Cluster analysis yielded 2 core drug combinations.Conclusion For the treatment of pediatric atopic dermatitis,Professor XUAN Guo-Wei focuses on the clearing,supplementing and harmonizing therapies,and the medication principle of"supporting the healthy-qi to eliminate the pathogen,and balancing the yin and yang"is applied throughout the treatment.

Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93％and a HCV positive rate of 0.54％.The positive rate of HCV in male and female patients were 0.60％and 0.48％,respectively,with a statistically sig-nificant difference(x2=47.18,P＜0.001).The HCV positive rate in the 50-＜60 age group was the highest(0.76％),followed by the 40-＜50 age group(0.71％).Difference among all age groups was statistically signifi-cant(x2=696.74,P＜0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57％;775 patients were infected with HCV,with a positive rate of 2.21％.In 2020,HCV positive rates in hospitals of different scales were 0.46％-0.63％,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P＜0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19％-0.81％,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06％-0.82％,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95％and 3.48％,respectively.Followed by departments of orthopedics(7.72％),gastroenterology(3.77％),nephrology(3.57％)and general intensive care unit(ICU,3.10％)in 2003,as well as departments of gastroenterology(1.35％),nephrology(1.18％),endocrinology(0.91％),and general intensive care unit(ICU,0.79％)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.

Objective To compare the clinical efficacy and pregnancy outcomes of CO2 laser and loop electrosurgical excision procedure(LEEP)surgery in the treatment of cervical high-grade squamous intraepithelial lesion(HSIL)in women of childbearing age.Methods Patients with cervical HSIL of appropriate reproductive age(20-34 years old)who underwent satisfied colposcope,subsequently treated with laser or LEEP between Jan 2019 and Dec 2021 in Obstetrics and Gynecology Hospital,Fudan University were collected.All the patients were interpreted as transformation zone(TZ)type 1/2,and colposcopy biopsy diagnosed as cervical high-grade squamous intraepithelial lesion(HSIL)and received laser or LEEP according to the physician's advice and the patient's wishes.The effectiveness of the two surgeries was evaluated,and postoperative cytology,HPV result,and colposcopic pathology were compared.We monitored the surgical pregnancy rate,pregnancy complications,and pregnancy results after the surgery.Results A total of 566 cases,including 233 laser cases and 333 LEEP cases,were enrolled.There was no significant difference between the two groups in terms of preoperative cytology,HPV distribution,or the length of cervical canal.After 6 months of surgery,91.5%of patients who underwent laser therapy and 86.9%of those who underwent LEEP had normal cytology.The histology cure rate was 91.5%and the HPV conversion rate was 74.6%in both groups.The results of cytology,HPV,and colposcopic pathology had no significant difference between the two groups.The length of postoperative cervical canal was significantly longer in laser group than that in LEEP group[(29.09±3.15)mm vs.(27.05±3.84)mm,P<0.001].There was no statistically significant difference in postoperative pregnancy rate and pregnancy outcome between the two groups.Conclusion Laser ablation and LEEP produce comparable effects pregnancy outcomes in cervical HSIL patients with TZ types 1 and 2,while LEEP has pathologic feedback,so its misdiagnosis of invasive cancer reduce.

Objective:To evaluate the efficacy and safety of Chinese medicine Jianpi Antai formula in infertile women undergoing in vitro fertilization-embryo transfer(IVF-ET).Methods:A total of 300 infertile women who underwent 2 frozen embryo transfer procedures at the Reproductive Medicine Center,Sir Run Run Shaw Hospital were included in the study.The participants were randomly divided into study group and control group.The study group received routine medication plus the Jianpi Antai formula during the period of embryo transfer,while the control group received routine medication only.The general condition,embryo implantation rate,clinical pregnancy rate,live birth rate,and the blood routine and liver and kidney function were evaluated and compared between two groups.Results:There were 277 cases who completed the study,including 134 in the study group and 143 in the control group.The embryo implantation rate(68.7%vs.55.9%),the clinical pregnancy rate(56.7%vs.44.8%)and the live birth rate(50.7%vs.37.8%)in the study group were all higher than those in the control group(all P＜0.05).Subgroup analysis revealed that in patients of advanced age(≥35 years)and those with decreased ovarian reserve function(anti-Müllerian hormone＜1.68 ng/mL),the embryo implantation rate,clinical pregnancy rate,and live birth rate in the study group were all higher than those in the control group(all P＜0.05).During the follow-up period,there were no abnormalities in the basic vital signs of both groups,and no adverse events were reported.Conclusion:Jianpi Antai formula can safely improve the embryo implantation rate in infertile women undergoing IVF-ET,reduce the embryo miscarriage rate,increase the live birth rate as well as improve the clinical outcomes.

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.