OBJECTIVE: To review the research progress of intelligent remote follow-up modes in the application after hip and knee arthroplasty. METHODS: Extensive literature on this topic published in recent years both domestically and internationally was reviewed, and the application of intelligent remote follow-up modes after hip and knee arthroplasty was summarized and analyzed. RESULTS: The intelligent remote follow-up mode is a novel follow-up method based on network information technology. Patients who undergo hip and knee arthroplasty require long-term follow-up and rehabilitation guidance after operation. Traditional outpatient follow-up is relatively time-consuming and inconvenient for some patients in terms of travel and transportation, which makes the application of intelligent remote follow-up modes increasingly widespread worldwide. The inherent attributes of remote interaction and instant feedback of this mode make it particularly valued in the field of hip and knee arthroplasty. Artificial intelligence (AI)-based voice follow-up systems and virtual clinics have significant advantages in improving follow-up efficiency, reducing human resource costs, and enhancing patient satisfaction. CONCLUSION The existing intelligent follow-up system has formed a standardized protocol in remote follow-up and rehabilitation guidance. However, there are still shortcomings in the formulation of personalized rehabilitation plans and the gerontechnological adaptation of human-computer interaction. In the future, it is necessary to construct a multimodal data fusion platform and establish technical application guidelines for different rehabilitation stages.
Humans ; Arthroplasty, Replacement, Knee/rehabilitation* ; Arthroplasty, Replacement, Hip/rehabilitation* ; Artificial Intelligence ; Follow-Up Studies ; Telemedicine

Real-time, noninvasive programmed death-ligand 1 (PD-L1) testing using molecular imaging has enhanced our understanding of the immune environments of neoplasms and has served as a guide for immunotherapy. However, the utilization of radiotracers in the imaging of human brain tumors using positron emission tomography/computed tomography (PET/CT) remains limited. This investigation involved the synthesis of [¹⁸F]AlF-NOTA-PCP2, which is a novel peptide-based radiolabeled tracer that targets PD-L1, and evaluated its imaging capabilities in orthotopic glioblastoma (GBM) models. Using this tracer, we could noninvasively monitor radiation-induced PD-L1 changes in GBM. [¹⁸F]AlF-NOTA-PCP2 exhibited high radiochemical purity (>95%) and stability up to 4 h after synthesis. It demonstrated specific, high-affinity binding to PD-L1 in vitro and in vivo, with a dissociation constant of 0.24 nM. PET/CT imaging, integrated with contrast-enhanced magnetic resonance imaging, revealed significant accumulation of [¹⁸F]AlF-NOTA-PCP2 in orthotopic tumors, correlating with blood-brain barrier disruption. After radiotherapy (15 Gy), [¹⁸F]AlF-NOTA-PCP2 uptake in tumors increased from 9.51% ± 0.73% to 12.04% ± 1.43%, indicating enhanced PD-L1 expression consistent with immunohistochemistry findings. Fractionated radiation (5 Gy × 3) further amplified PD-L1 upregulation (13.9% ± 1.54% ID/cc) compared with a single dose (11.48% ± 1.05% ID/cc). Taken together, [¹⁸F]AlF-NOTA-PCP2 may be a valuable tool for noninvasively monitoring PD-L1 expression in brain tumors after radiotherapy.

The prefrontal cortex and hippocampus may support sequential working memory beyond episodic memory and spatial navigation. This stereoelectroencephalography (SEEG) study investigated how the dorsolateral prefrontal cortex (DLPFC) interacts with the hippocampus in the online processing of sequential information. Twenty patients with epilepsy (eight women, age 27.6 ± 8.2 years) completed a line ordering task with SEEG recordings over the DLPFC and the hippocampus. Participants showed longer thinking times and more recall errors when asked to arrange random lines clockwise (random trials) than to maintain ordered lines (ordered trials) before recalling the orientation of a particular line. First, the ordering-related increase in thinking time and recall error was associated with a transient theta power increase in the hippocampus and a sustained theta power increase in the DLPFC (3-10 Hz). In particular, the hippocampal theta power increase correlated with the memory precision of line orientation. Second, theta phase coherences between the DLPFC and hippocampus were enhanced for ordering, especially for more precisely memorized lines. Third, the theta band DLPFC → hippocampus influence was selectively enhanced for ordering, especially for more precisely memorized lines. This study suggests that theta oscillations may support DLPFC-hippocampal interactions in the online processing of sequential information.
Adult ; Female ; Humans ; Young Adult ; Epilepsy ; Hippocampus ; Memory, Short-Term ; Mental Recall ; Prefrontal Cortex ; Theta Rhythm ; Male

Background Long-term exposure to ambient fine particulate matter (PM_2.5) may increase the risk of diabetes, and a healthy diet can effectively control fasting blood glucose levels. However, it is unclear whether dietary factors have a moderating effect on the risk of diabetes associated with atmospheric PM_2.5 exposure. Objective To investigate the association between long-term exposure to PM_2.5 and diabetes in rural areas of Ningxia, and potential interaction of long-term exposure to atmospheric PM_2.5 and diet on diabetes. Methods The study subjects were selected from the baseline survey data of the China Northwest Cohort-Ningxia (CNC-NX) , a natural population cohort. A total of 13917 subjects were included, excluding participants with missing covariate information. We utilized the annual average ambient PM_2.5 concentration from 2014 to 2018 as the long-term exposure level. Logistic regression and multiple linear regression were employed to analyze the associations of long-term atmospheric PM_2.5 exposure with diabetes and fasting blood glucose levels. Stratification by frequency of vegetable consumption, frequency of fruit consumption, and salty taste was used to examine moderating effects on the diabetes risk associated with atmospheric PM_2.5 exposure. Results The mean age of the 13917 subjects was (56.8±10.0) years, and the prevalence of diabetes was 9.8%. Between 2014 and 2018, the average annual concentration of PM_2.5 was (38.10±4.67) μg·m⁻³. The risk (OR) of diabetes was 1.018 (95%CI: 1.005, 1.032) and the fasting blood glucose was increased by 0.011 (95%CI: 0.004, 0.017) mmol·L⁻¹ for each 1 μg·m⁻³ increase in PM_2.5 concentration. Compared to those who consumed vegetables < 1 time per week, individuals who consume vegetables 1-3 times per week and ≥4 times per week had a reduced risk of developing diabetes by 27.1% (OR=0.729, 95%CI: 0.594, 0.893) and 16.8% (OR=0.832, 95%CI: 0.715, 0.971) respectively. Similarly, when compared to those who consumed fruits <1 time per week, individuals who consumed fruits 1-3 times per week and ≥4 times per week exhibited a reduced risk of diabetes by 16.4% (OR=0.836, 95%CI: 0.702, 0.998) and 18.2% (OR=0.818, 95%CI: 0.700, 0.959) respectively. Fasting blood glucose decreased by 0.202 (95%CI: -0.304, -0.101) mmol·L⁻¹ in participants who ate vegetables 1-3 times per week. The effect of salty taste on diabetes and fasting blood glucose was not significant. The results of stratified analysis by dietary factors and PM_2.5 concentration showed that the risks of diabetes were increased in the low PM_2.5 pollution-low vegetable intake frequency group and the high PM_2.5 pollution-low vegetable intake frequency group compared with the low PM_2.5 pollution-high vegetable intake frequency group, with OR values of 3.987 (95%CI: 2.943, 5.371) and 1.433 (95%CI: 1.143, 1.796) respectively. The risk of diabetes was 50.1% higher in participants with high PM_2.5 pollution and low fruit intake frequency than in participants with low PM_2.5 pollution and high fruit intake frequency (OR=1.501, 95%CI: 1.171, 1.926). No interaction was found between salty taste and PM_2.5 on diabetes. Conclusion Long-term exposure to ambient PM_2.5 is associated with an increased fasting blood glucose and an elevated risk of diabetes in rural Ningxia population. Increasing the frequency of weekly consumption of vegetables or fruits may have a certain protective effect against diabetes occurrence, as well as a moderating effect on diabetes and fasting blood glucose levels associated with long-term exposure to atmospheric PM_2.5.

Background The impact of atmospheric fine particulate matter (PM_2.5) and ozone (O₃) on the mortality of circulatory system diseases cannot be ignored. However, whether the interaction between PM_2.5 and O₃ can affect population health is rarely reported and requires study. Objective To investigate the individual and interactive impacts of atmospheric PM_2.5 and O₃ on the mortality of circulatory system diseases in the population of Ningxia region. Methods The data of 119647 deaths due to circulatory system diseases, daily average concentrations of atmospheric pollutants, and meteorological data in Ningxia from 2013 to 2020 were retrieved. PM_2.5 was divided into low, medium, and high concentrations according to the primary and secondary national limits (35 and 75 μg·m⁻³) of the Ambient air quality standards. Similarly, O₃ was divided into low, medium, and high concentrations according to the national limits (100 and 160 μg·m⁻³). Using a generalized additive mixed model based on quasi Poisson distribution, the impacts of atmospheric PM_2.5 and O₃ as well as their interaction on the mortality of circulatory system diseases were analyzed using the population data of Ningxia region. Results During the target period, males and the ≥ 65 year group accounted for larger proportions of deaths due to circulatory system diseases (55.47% and 79.87% respectively). The daily average concentration of PM_2.5 (40.25 μg·m⁻³) exceeded the national primary limit. In the single pollution model, the highest cumulative lag effects for mortality from circulatory system diseases were PM_2.5 exposure over previous 1 d (lag01) and O₃ exposure for previous 2 d (lag02), and their excess risk (ER) values were 1.03% (95%CI: 0.67%, 1.40%) and 1.02% (95%CI: 0.57%, 1.50%), respectively. The results of concentration stratification analysis showed that the most significant risks of death from circulatory system diseases [ER (95%CI): 1.12% (0.32%, 1.92%) and 0.95% (0.13%, 1.79%) respectively] were found at medium PM_2.5 and O₃ concentrations. The interaction analysis revealed that under, a synergistic effect on the risk of death from circulatory system diseases was identified (relative excess risk due to interaction=3.08%, attributable proportion of interaction=2.90%, synergy index=1.89) when considering the coexistence of PM_2.5 and O₃ above the primary limit. As the concentrations of PM_2.5 and O₃ increased, the synergistic effect increased the risk of death from circulatory system diseases in the general population, men, women, and the ≥ 65 years group. Conclusion Both atmospheric PM_2.5 and O₃ can increase the risk of death from circulatory system diseases, and the two pollutants have a synergistic effect on the risk of death from circulatory system diseases.

Purpose/Significance To alleviate digital health technology anxiety in elderly patients with chronic diseases.Method/Process A convenience sampling method is used to survey 1 222 elderly patients with chronic diseases in tertiary,secondary,and commu-nity hospitals in Shanghai,China,with respect to demographic information,the level of anxiety about digital health technologies,and the conditions of individual use of digital health technologies.Logistic regression analyse is used to investigate the factors influencing anxiety in the use of digital health technologies among elderly patients with chronic diseases.Result/Conclusion Elderly patients with chronic diseases as a whole have low moderate levels of anxiety about digital health technologies.Educational level,per capita monthly income,experience of using digital health technologies,and learning ability are independent factors affecting anxiety about digital health technolo-gies among elderly patients with chronic diseases.Aging-friendly design,assistance and support,improved facility accessibility,and precise training should be implemented so as to increase the acceptance and use of digital health technologies among elderly chronic dis-ease patients.

Kidney transplantation remains the gold standard treatment for patients with end-stage renal disease.To address the growing demand for organs,there is an increasing reliance on organs from donors after cardiac death(DCD)and expanded criteria donors(ECD).These marginal organs are at a heightened risk of severe ischemia-reperfusion injury,which can lead to a higher incidence of primary nonfunction,delayed graft function,and reduced long-term graft survival rates following transplantation.Ex vivo machine perfusion(EVMP)provides superior protection for donor kidneys compared to traditional static cold storage.Additionally,EVMP can serve as a platform for the dynamic administration of drugs or gene therapies,further enhancing the efficacy of kidney transplantation.This review outlines innovative strategies for ex vivo kidney mechanical perfusion treatments,including mesenchymal stem cell therapy,gene therapy,nanotechnology,anti-infectives,gas therapy,thrombolytics,blood type conversion,and other therapeutic approaches.

Objective:To explore the medication law for treating chronic atrophic gastritis (CAG) through data mining methods.Methods:Literature on experiences in treating CAG was retrieved from CNKI, Wanfang data, and VIP from the establishment of the databases to December 31, 2023. The information on syndromes, treatment methods, and prescriptions was extracted for frequency statistics, clustering analysis, complex networks analysis were performed.Results:A total of 313 articles were included in the study, involving 581 experienced prescriptions, involving 5 kinds of TCM disease names, with "epigastric pain" as the most, followed by "fullness"; high-frequency syndromes included spleen-stomach qi deficiency syndrome, stomach collateral stasis syndrome, stomach yin deficiency syndrome, spleen-stomach damp-heat syndrome, liver-stomach qi stagnation syndrome; the main treatment methods used were promoting blood circulation and removing blood stasis, invigorating spleen and replenishing qi, regulating qi and harmonizing stomach, soothing liver and regulating qi, etc. The number of prescription drugs was mainly in 10-15 kinds of Chinese materia medica; a total of 321 kinds of Chinese materia medica were shared, and the top five Chinese medicines ranked by frequency were Atractylodis Macrocephalae Rhizoma, Poria, Paeoniae Radix Alba, Citri Reticulatae Pericarpium, Coptidis Rhizoma. The medicinal properties were mainly warm and neutral, and the tastes were mostly bitter, sweet and pungent. The meridians were mainly spleen, stomach, lung and liver meridians. The clustering analysis of high-frequency medication was mainly divided into 6 categories. The association rule analysis of Chinese materia medica and the complex network of Chinese materia medica showed the core compatibility and prescription of 5 high-frequency syndromes, respectively, showing the combination of Xiangsha Liujun Decoction, Chaihu Shugan Powder, Banxia Xiexin Decoction, Shashen Maidong Decoction and other classical prescriptions for syndrome differentiation and treatment combined with the experience of improving gastric mucosal lesions.Conclusion:Tonifying qi, removing blood stasis and detoxifying are the feature methods to treat CAG, embodying a "point surface combination" medication strategy that combines holistic diagnosis and syndrome differentiation and treatment with improvement of local mucosal lesions.

Objective To observe the clinical effect of traditional Chinese medicine bone-setting technique using spinal,pelvi-lower extremity line to treat patients with knee osteoarthritis(KOA).Methods 426 patients with KOA were all from the First Affiliated Hospital of Hebei University of Traditional Chinese Medicine.They were randomly divided into experimental group(384 cases,57 cases of elimination,shedding and termination)by computer generated sequence.Traditional Chinese bone setting techniques were applied with spinal-pelvic-lower limb force line(divided into three parts:lumbar fixed point reduction method,hip joint push-pull and extension method and knee peripheral tendon recovery method every 3 days.2 weeks)treatment;The control group was the waiting treatment group(48 cases,6 cases were eliminated,abscission,termination),which was only used for clinical observation for 2 weeks.The main outcome index was WOMAC pain score.Secondary outcome measures were WOMAC stiffness score,functional score,standardized score and quality of life score(SF-12).The test time points were baseline,2 weeks after enrollment,and follow-up(14 weeks after enrollment).The control group was at baseline and 2 weeks after enrollment.Results Compared with baseline,WOMAC pain score,stiffness score,functional score and standardized score were all decreased in 2 groups 2 weeks after enrollment(P<0.05),but the experimental group was significantly decreased compared with the control group(P<0.001).SF-12 quality of life scores were all higher than before(P<0.001),but the experimental group was significantly higher than the control group(P<0.001).At follow-up,compared with 2 weeks after enrollment,WOMAC pain scores were increased(P<0.001),WOMAC stiffness,joint function and standardized scores were decreased(P<0.001),and SF-12 scores were increased(P<0.001).Conclusion The use of spinal-pelvi-lower extremity line of traditional Chinese medicine bone-setting technique in the treatment of KOA is effective in improving the knee joint function and improving the quality of life of patients,but the short-term effect of pain relief is good,and the long-term effect is not good.Its safety is good,and it can be considered in clinical application for KOA patients with joint dysfunction as the main manifestation.

Objective:To analyze the relationship between PD-L1 expression and the degree of infiltration of different types of TILs in triple-negative breast cancer, and the correlation with other pathological features to explore their clinical significance.Methods:Tumor tissues of 199 patients with triple-negative breast cancer in our hospital were selected, and the expression of PD-L1 and the distribution of TILs were analyzed using immunohistochemistry and counted using Image software. The relationship between CD8 +TILs, CD4 +TILs and PD-L1 expression was analyzed and compared, and survival analysis and correlation analysis between PD-L1 expression and pathological information were performed. Results:The density of CD4 + TILs ( χ2=8.75, P=0.003) and CD8 + TILs ( χ2=6.32, P=0.009) infiltration was higher in the PD-L1-positive group compared to that of the PD-L1-negative group. Among PD-L1-positive patients, patients with higher TILs infiltration compared to low infiltrating TILs could achieve longer overall survival time, and the difference was statistically significant ( P1=0.012, P2=0.023, P3=0.010). Patient PD-L1 expression was positively correlated with the number of positive lymph nodes, tumor stage, and ki-67 expression ( Pa=0.032, Pb=0.006, Pc=0.042), and was not related to age or tumor diameter ( Pd=1.031, Pe=0.672) . Conclusions:PD-L1 expression in triple negative breast cancer predicts higher infiltration of CD4 +TILs and CD8 +TILs, while higher infiltration of CD4 +TILs and CD8 +TILs predicts a relatively good survival prognosis.PD-L1 expression is associated with multiple pathological clinical factors and deserves further study to make PD-L1, TILs and other indicators better benefit triple-negative breast cancer patients.