Electromagnetic fields can regulate the fundamental biological processes involved in bone remodeling. As a non-invasive physical therapy, electromagnetic fields with specific parameters have demonstrated therapeutic effects on bone remodeling diseases, such as fractures and osteoporosis. Electromagnetic fields can be generated by the movement of charged particles or induced by varying currents. Based on whether the strength and direction of the electric field change over time, electromagnetic fields can be classified into static and time-varying fields. The treatment of bone remodeling diseases with static magnetic fields primarily focuses on fractures, often using magnetic splints to immobilize the fracture site while studying the effects of static magnetic fields on bone healing. However, there has been relatively little research on the prevention and treatment of osteoporosis using static magnetic fields. Pulsed electromagnetic fields, a type of time-varying field, have been widely used in clinical studies for treating fractures, osteoporosis, and non-union. However, current clinical applications are limited to low-frequency, and research on the relationship between frequency and biological effects remains insufficient. We believe that different types of electromagnetic fields acting on bone can induce various “secondary physical quantities”, such as magnetism, force, electricity, acoustics, and thermal energy, which can stimulate bone cells either individually or simultaneously. Bone cells possess specific electromagnetic properties, and in a static magnetic field, the presence of a magnetic field gradient can exert a certain magnetism on the bone tissue, leading to observable effects. In a time-varying magnetic field, the charged particles within the bone experience varying Lorentz forces, causing vibrations and generating acoustic effects. Additionally, as the frequency of the time-varying field increases, induced currents or potentials can be generated within the bone, leading to electrical effects. When the frequency and power exceed a certain threshold, electromagnetic energy can be converted into thermal energy, producing thermal effects. In summary, external electromagnetic fields with different characteristics can generate multiple physical quantities within biological tissues, such as magnetic, electric, mechanical, acoustic, and thermal effects. These physical quantities may also interact and couple with each other, stimulating the biological tissues in a combined or composite manner, thereby producing biological effects. This understanding is key to elucidating the electromagnetic mechanisms of how electromagnetic fields influence biological tissues. In the study of electromagnetic fields for bone remodeling diseases, attention should be paid to the biological effects of bone remodeling under different electromagnetic wave characteristics. This includes exploring innovative electromagnetic source technologies applicable to bone remodeling, identifying safe and effective electromagnetic field parameters, and combining basic research with technological invention to develop scientifically grounded, advanced key technologies for innovative electromagnetic treatment devices targeting bone remodeling diseases. In conclusion, electromagnetic fields and multiple physical factors have the potential to prevent and treat bone remodeling diseases, and have significant application prospects.

The European Society of Cardiology (ESC) released the "2024 ESC guidelines for the management of elevated blood pressure and hypertension" on August 30, 2024. This guideline updates the 2018 "Guidelines for the management of arterial hypertension." One notable update is the introduction of the concept of "elevated blood pressure" (120-139/70-89 mm Hg). Additionally, a new systolic blood pressure target range of 120-129 mm Hg has been proposed for most patients receiving antihypertensive treatment. The guideline also includes numerous additions or revisions in areas such as non-pharmacological interventions and device-based treatments for hypertension. This article interprets the guideline's recommendations on definition and classification of elevated blood pressure and hypertension, and cardiovascular disease risk assessment, diagnosing hypertension and investigating underlying causes, preventing and treating elevated blood pressure and hypertension. We provide a comparison interpretation with the 2018 "Guidelines for the management of arterial hypertension" and the "2017 ACC/AHA guideline on the prevention, detection, evaluation, and management of high blood pressure in adults."

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

Objective To explore risk factors of post-operative traumatic arthritis in patients with ankle fracture,and to es-tablish risk prediction model.Methods Totally 550 patients with ankle fracture treated from May 2020 to May 2022 were se-lected as research objects and divided into modeling group(385 patients)and verification group(165 patients)according to 7∶3.In modeling group,patients were classified as occurrence group(112 patients)and non-occurrence group(273 patients)according to whether traumatic arthritis occurred after opertaion.Age,body mass index(BMI),gender,smoking history,dia-betes history,injury type,fracture type,operation time,manual labor,open injury,osteoporosis,poor reduction,postoperative weight-bearing time,vascular injury,and surgical method were recorded;risk factors of traumatic arthritis in ankle fracture pa-tients were analyzed by single factor and multi factor logistic regression analyses;R software was used to build the prediction model of line graph;receiver operating characteristic(ROC)curve and calibration graph were applied to verify the discrimina-tion and consistency of the model.Results One hundred and twelve of 385 patients with ankle fracture were developed to post-operative traumatic arthritis,and 275 did not.Univariate analysis showed that there were significant differences in age,BMI,fracture type,operation time,physical labor above Ⅱ,open injury,osteoporosis and poor reduction between two groups(P＜0.05).Multivariate Logistic regression analysis showed that age(OR=2.887),BMI(OR=4.042),fracture type(OR=4.244),operation time(OR=2.665),physical labor above grade Li(OR=5.099),osteoporosis(OR=10.219),and poor reduction(OR=3.112)were independent risk factors for traumatic arthritis after ankle fracture(P＜0.05).Based on the above risk factors,an nomogram model was established to predict the risk of postoperative traumatic arthritis in ankle fracture patients,and internal and external verification was conducted.The results showed calibration curve of modeling group and verification group showed a good fit between correction curve and ideal curve,indicating that the predicted risk of postoperative traumatic arthritis by the model was basically consistent with actual risk.Area runder ROC curve analysis results showed 0.867[(95％CI(0.826,0.908)]and 0.882[95％CI(0.827,0.938)],respectively,indicating that the prediction model had good prediction ability.Conclusion Age,BMI,fracture type,operation time,physical labor above grade Ⅱ,osteoporosis and poor reduction are all risk factors for post-operative traumatic arthritis in patients with ankle fracture.The prediction model based on the above risk factors could ef-fectively evaluate risk of post-operative traumatic arthritis in patients with ankle fracture.

Objective To evaluate the rabbit modle of frozen shoulder induced by persistent strain injuries and ice com-pression.Methods Twelve clean,healthy male New Zealand rabbits with a mass of(2 500±500)g were selected and randomly divided into a blank group and a control group with 6 rabbits in each group.In the control group,the rabbits were modeled with persistent strain injuries and ice compression,the general conditions of the rabbits and the active and passive activities of the shoulder joint were observed and their body weights were recorded.MRI was performed on the affected shoulder joints at 6 d and 29 d after modelling to observe the fluid and soft tissue;HE staining was used to observe the morphology of the rabbit bi-ceps longus tendon and the synovial membrane of the joint capsule;Masson staining was used to observe the fibrous deposits of the rabbit biceps longus tendon and the synovial membrane of the joint capsule,and the fibrous deposits were analysed semi-quantitatively by Image J software.Results Six days after the end of modeling,the active movement of the shoulder joints in the control group was limited,the passive movement was not significantly limited,and they walked with a limp;29 days after the end of the modeling,the active and passive movements of the shoulder joints in the model group were severely limited.Com-pared with the blank group(2.50±0.14)kg,the body weight of the model group(2.20±0.17)kg was significantly reduced(P＜0.01).MRI showed that 6 days after modelling,the muscles around the shoulder joint were not smooth in shape,the joint cap-sule structure was narrowed and a large amount of fluid was seen in the joint cavity;29 days after modelling,the muscles around the shoulder joint were rough in shape,structure of the joint capsule was unclear and the fluid in the joint cavity was reduced compared with 6 days after modelling.Pathological staining showed that the long-headed biceps tendon fibres in the control group were disorganised,curled or even broken,and the synovial tissue of the joint capsule was heavily vascularised,with col-lagen fibre deposits and severe inflammatory cell infiltration.The fiber deposition of the long head of biceps brachii in the mod-el group[(23.58±3.41)％,(27.56±3.70)％]and synovial tissue[(41.78±5.59)％,(62.19±7.54)％]were significantly higher than those in the blank group[(1.79±1.03)％,(1.29±0.63)％]at 7 and 30 days after modeling and synovial tissue fiber de-position[(8.15±3.61)％,(11.29±7.10)％],as shown by the semi-quantitative analysis of Masson staining results by Image J software.And the longer the time,the more severe the fibrosis(P＜0.01).Conclusion The behavioral,imaging and pathological findings showed that the rabbit frozen shoulder model with persistent strain injuries and ice compression is consistent with the clinical manifestations and pathogenesis of periarthritis,making it an ideal method for periarthritis research.

Objective To investigate the effect of varying ureteral wall thickness(UWT)at the site of ureteral stones on the clinical efficacy of ureteroscopic lithotripsy(URL).Methods The clinical data of 164 patients with ureteral stones in our hospital were retrospectively analyzed.According to different UWT,the patients were divided into the mild thickening group(84 cases,UWT<3.16 mm),the moderate thickening group(31 cases,UWT 3.16 to 3.49 mm),and the severe thickening group(49 cases,UWT>3.49 mm),and the differences of clinical related indicators among the three groups were compared.Results The incidence of postoperative renal colic and leukocyte disorder in the mild thickening group and the moderate thickening group were lower than those in the severe thickening group,and the differences were statistically significant(P<0.05).The postoperative catheterization time in the mild thickening group and the moderate thickening group were shorter than that in the severe thickening group,and the incidences of secondary lithotripsy,residual stones and stone return to kidney in the mild thickening group and the moderate thickening group were lower than those in the severe thickening group,with statistically significant differences(P<0.05).The length of hospital stay and hospitalization cost in the mild thickening group and the moderate thickening group were shorter/less than those in the severe thickening group,with statistically significant differences(P<0.05).Conclusion With the increase of UWT(especially when UWT>3.49 mm),the incidence of postoperative complications and hospitalization cost of URL increase to varying degrees,and the surgical efficacy decreases.In clinical work,UWT measurement holds potential value in predicting the surgical efficacy and complications of URL.

Objective:To explore the latent profile types of capability-opportunity-motivation-behavior in stroke patients and analyze the influencing factors of different latent profiles.Methods:From January to October 2023, totally 596 stroke patients from the Neurology Department of five ClassⅢ Grade A hospitals in Henan Province were selected by stratified random sampling. The patients were surveyed using a general information questionnaire, the Stroke Prevention Knowledge Questionnaire (SPKQ), the Social Support Rating Scale (SSRS), the WHO's Quality of Life Questionnaire- Brief Version (WHOQOL-BREF), the Short Form Health Belief Model Scale (SF-HBMS), and the Health Promoting Lifestyle ProfileⅡ (HPLPⅡ). Latent profile analysis was used to classify the capability-opportunity-motivation-behavior characteristics of stroke patients, and multiple logistic regression was conducted to explore the influencing factors of different latent profiles.Results:Three latent profiles of capability-opportunity-motivation-behavior in stroke patients were identified, including low capability-opportunity-motivation-behavior with high health beliefs (32.4%, 193/596), moderate capability-opportunity-motivation-behavior with insufficient health beliefs (47.5%, 283/596), and high capability-opportunity-motivation-behavior with lack of social support (20.1%, 120/596). Multiple logistic regression analysis showed that educational level, smoking history, family history, body mass index, and Charlson Comorbidity Index score were influencing factors of different latent profiles ( P<0.05) . Conclusions:Stroke patients exhibit distinct classifications of capability-opportunity-motivation-behavior. Targeted interventions should be conducted based on the characteristics of each category to improve health behavior management outcomes in patients.

Objective:This study evaluates the accessibility and equity of healthcare resources in deep mountain,shallow mountain,and plain suburban areas,taking Huairou,Mentougou,and Tongzhou districts of Beijing as examples,to identify factors contributing to the imbalance in resource allocation.Methods:Accessibility of healthcare services in the sample areas was measured using village-level health survey data and the Two-Step Floating Catchment Area(2SFCA)method.Equity of resource allocation was assessed using the Gini coefficient among other methods.Factors influencing imbalance were identified using the Geodetector and Spatial Lag Model.Results:The average accessibility scores for Huairou,Mentougou,and Tongzhou were 202.06,179.68,and 187.02,respectively.The Gini coefficients were 0.48,0.37,and 0.24,respectively.GDP,population density,and altitude were significant factors affecting accessibility.Conclusions and Suggestions:In Beijing,both plain and mountainous rural areas exhibited a spatial clustering of healthcare accessibility,higher near the city and lower in the suburbs,with plains performing better than mountains.Healthcare equity was ranked as plains>shallow mountains>deep mountains.Policies covering full healthcare services improved equity.It is recommended to strengthen the construction of village healthcare facilities and medical teams,improve the linkage of medical services at all rural levels,and enhance the willingness of villagers to seek primary care.Furthermore,gradual improvement of transportation and internet infrastructure is suggested to enhance the accessibility of online and offline medical services for villagers.

AIM To study the chemical constituents from Codonopsis pilosula(Franch.)Nannf in Shanxi and their anti-inflammatory activities.METHODS The 70％ ethanol extract from C.pilosula in Shanxi was isolated and purified by silica gel,ODS and preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their in vitro anti-inflammatory activities were evaluated by RAW264.7 model.RESULTS Sixteen compounds were isolated and identified as ethylsyringin(1),7-O-ethyltangshenoside Ⅱ(2),triandrin(3),trans-isoconiferin(4),methylsyringin(5),9-acetoxy syringin(6),cordifolioidyne B(7),codonopiloenynenoside A(8),codonopilodiynoside F(9),pratialin B(10),lobetyolinin(11),lariciresinol-4-O-β-D-glucoside(12),dihydrodehydrodiconiferyl alcohol 4′-O-β-D-glucoside(13),atractylenolid Ⅲ(14),baimantuoluoamide B(15),benzyl primeveroside(16).Compounds 1-2,5,7-11 and 13-15 had certain anti-inflammatory activities,among which compounds 11,14-15 had higher activities,whose IC50 values were(18.23±4.18),(17.73±3.12),(14.89±2.47)μmol/L,respectively.CONCLUSION Compounds 3,6,13,16 are first isolated from Campanulaceae,2,5,15 are first found from this plant.Compounds 11,14 and 15 have good anti-inflammatory activities.

Objective:To investigate the knowledge of Sixth Chinese national consensus report on the management of Helicobacter pylori infection ( treatment excluded) (hereinafter referred to as sixth national consensus) and 2022 Chinese national clinical practice guideline on Helicobacter pylori eradication treatment (hereinafter referred to as the guideline)among medical staff from general hospitals in Hainan. Methods:From February 20 to May 7, 2023, a questionnaire survey on the diagnosis and treatment of Helicobacter pylori ( H. pylori) infection was conducted among 1 463 medical staff from 15 general hospitals in Hainan Province. The questionnaire was drawn up according to the sixth national consensus and the guideline, covering knowledge of 6 sections, induding H. pylori related diseases, detection of H. pylori, eradication, prevention and influence factors of eradication of H. pylori, etc. Chi-square test was used for statistical analysis. Results:A total of 1 463 valid questionnaires were collected with the effective responsive rate of 100.00%.The 1 463 subjects included 225 gastroenterologists and 1 238 other medical staff(including 503 physicians from other departments, 264 surgeons and 471 medical technologists and pharmacists). About 78.67%(177/225)of gastroenterologists agreed that the overall infection rate of H. pylori in China was more than 20%, the awareness rate was higher than that of other medical staff (physicians from other departments 65.41%(329/503), surgeons 61.74%(163/264), medical technologists and pharmacists 60.30%(284/471); the following datas were sorted by this position), and the difference was statistically significant ( χ2=30.97, P<0.001). About 51.11%(115/225) of gastroenterologists considered that H. pylori serological antibody test could not be used as a diagnostic method for current infection, the awareness rate was higher than that of other medical staff(22.07%(111/503), 14.02%(37/264), 12.31%(58/471)), and the difference was statistically significant( χ2 =152.66, P<0.001). Proton pump inhibitor and potassium-competitive acid blocker should be discontinued for 2 weeks, and antibiotics and bismuth should be discontinued for 4 weeks before urea breath test, and the awareness rates of gastroenterologists were higher than those of other medical staff (38.67%(87/225) vs. 23.26%(117/503), 19.70%(52/264), 18.47%(87/471); 60.89%(137/225) vs. 26.64%(134/503), 25.76%(68/264), 23.78%(112/471)), and the differences were statistically significant ( χ2 =133.70 and 165.51, both P<0.001). For refractory H. pylori infection, 98.67%(222/225)of gastroenterologists agreed with the individualized diagnosis and treatment of H. pylori infection should be guided by bacterial culture, antibiotic susceptibility test or drug resistance gene test, and the awareness rate was higher than that of other medical staff (91.85%(462/503), 93.56%(247/264), 93.21%(439/471)), and the difference was statistically significant( χ2=20.55, P=0.002). About 70.67% (159/225) of gastroenterologists recommended a bismuth containing quadruple regimen, 80.44% (181/225) supported a 10 to 14 day H. pylori eradication course, and the awareness rates were higher than other medical staff (46.92%(236/503), 33.33%(88/264), 32.91%(155/471); 67.20%(338/503), 59.09%(156/264), 53.93%(254/471)), and the differences were statistically significant ( χ2=111.25 and 59.99, both P<0.001). The understanding rates of the sixth national consensus and the guideline in gastroenterologists was 85.33% (192/225), which was higher than that of other medical staff (64.21%(323/503), 66.67%(176/264), 57.96%(273/471)), and the difference was statistically significant ( χ2=85.47, P<0.001). Conclusions:Gastroenterologists from general hospitals in Hainan Province have a better understanding of the sixth national consensus and the guideline than other medical staff. However, there is still a lack of deep understanding of the sixth national consensus and the guideline, and it is necessary to further strengthen the learning and application of the sixth national consensus and the guideline.