Hyperuricemia （HUA） is a common metabolic disorder characterized by persistently elevated serum uric acid levels, leading to uric acid-related renal injury through complex mechanisms involving inflammation, oxidative stress, and fibrosis. Key traditional Chinese medicine （TCM） formulas （e.g., Simiao Powder, Tongfengning） and individual herbal compounds （alkaloids, flavonoids, polysaccharides） with urate-lowering and renal protective properties were systematically summarized, including their mechanisms of regulating uric acid transporters （organic anion transporter 3, urate anion transporter 1, glucose transporter type 9）, inhibiting inflammatory responses （via NF-κB signaling）, reducing oxidative stress （via mitochondrial pathways and antioxidant enzyme enhancement）, and attenuating renal fibrosis （via PI3K/AKT signaling）. The challenges of current studies mainly focus on unclear mechanisms of action and insufficient clinical research. Future research may further explore TCM resources, clarify dual-action mechanisms of urate reduction and renal protection, and identify new therapeutic strategies for hyperuricemia-related renal injury.

BackgroundIndividuals with chronic multimorbidity exhibit a high prevalence of sleep disturbances， which impair their physical and psychological well-being and impede chronic disease management. Although sleep quality is closely influencing with psychological functioning， empirical evidence regarding the longitudinal trajectories of sleep quality and their influencing factors in this population remains insufficient. ObjectiveTo investigate the longitudinal trajectories of sleep quality and associated factors among patients with chronic multimorbidity from hospitalization through 6 months post-discharge， aiming to facilitate the early identification of high-risk individuals and the development of personalized sleep interventions. MethodsA total of 228 inpatients with chronic multimorbidity， primarily with cardiovascular and metabolic chronic conditions， were enrolled via random sampling at The Third People's Hospital of Fuyang from January 2023 to September 2024. Baseline assessments were conducted during hospitalization using the general socio-demographic questionnaire， the Sleep Dysfunction Rating Scale （SDRS）， the Ruminative Response Scale （RRS）， and the Hospital Anxiety and Depression Scale （HADS）. Sleep quality was further evaluated using the SDRS at 1-， 3-， and 6-month post-discharge. Latent class growth model was employed to delineate trajectories of sleep quality. Multivariate logistic regression analysis was subsequently performed to identify influencing factors of sleep quality. ResultsA total of 201 patients with chronic diseases were included.Based on four predefined assessment time points （baseline， 1 month， 3 months， 6 months post-discharge）， the latent class growth model identified three distinct trajectories of sleep quality： persistent high sleep disturbance （n=72， 35.82%）， moderate sleep disturbance-progression （n=73， 36.32%）， and low sleep disturbance （n=56， 27.86%）. Multivariate logistic regression analysis revealed that， compared with the low sleep disturbance group， multiple factors increased the odds of membership in the persistent high sleep disturbance group： per capita monthly household income of <3 000 yuan （β=13.131， P<0.01） or 3 000–5 000 yuan （β=5.913， P<0.05）， aged 45–65 years （β=9.536， P<0.05）， presence of 3 （β=7.792， P<0.05） or >3 comorbid chronic conditions （β=6.626， P<0.05）， as well as higher RRS （β=0.334， P<0.01） and HADS score （β=1.628， P<0.01）. Additionally， patients aged 45–65 years （β=2.777， P<0.05）， with 3 （β=3.802， P<0.01） or >3 comorbid chronic conditions （β=2.463， P<0.01）， and with higher RRS （β=0.111， P<0.01） and HDAS scores （β=0.350， P<0.05） also demonstrated significantly increased odds of belonging to the moderate sleep disturbance–progression group. ConclusionThere is significant population heterogeneity in sleep quality trajectories among patients with chronic multimorbidity， with age， per capita household monthly income， number of comorbidities， rumination， and anxiety/depression symptoms being identify as the primary influencing factors.

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; Abietanes

OBJECTIVES: To study the effects of early respiratory training combined with swallowing function training on physical development and neurodevelopment at a corrected gestational age of 6 months in infants with bronchopulmonary dysplasia (BPD). METHODS: A total of 69 BPD infants who could not be fed completely orally were prospectively selected from the Department of Neonatology of Hunan Children's Hospital between January 2018 and January 2021. Based on a random number table, the infants were divided into a conventional group (35 cases) and a training group (34 cases) (with 8 cases lost to follow-up; the final follow-up included 31 cases in the training group and 30 cases in the conventional group). Both groups received routine clinical treatment and care, while the training group additionally received respiratory and swallowing function training until the infants could independently feed orally. The weight, length, Gesell Developmental Schedule (GDS) results, readmission rate, and multiple readmission rate (two or more admissions) were compared between the two groups at a corrected age of 6 months. RESULTS: At corrected gestational age of 6 months, the training group had higher weight, length, and GDS scores in personal-social, language, gross motor, fine motor, and adaptive development compared to the conventional group (P<0.05). The readmission rate and multiple readmission rate were lower in the training group compared to the conventional group (P<0.05). CONCLUSIONS Early respiratory training combined with swallowing function training for BPD infants in a neonatal intensive care unit setting helps improve physical and neurological development and reduces the readmission rate.
Humans ; Bronchopulmonary Dysplasia/physiopathology* ; Prospective Studies ; Male ; Female ; Infant ; Deglutition/physiology* ; Gestational Age ; Infant, Newborn ; Breathing Exercises ; Child Development

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

Objective To investigate residents'willingness to use"internet+nursing services"of a community in Xiamen City and provide reference for the code of practice to promote the service.Methods A total of 350 community residents in Xiamen City were investigated by convenience sampling from January to December 2023.The questionnaire was self-designed with regard to their willingness to use"internet+nursing services".Results 336 questionnaires were effectively collected.The total score of willingness to use"internet+nursing services"of community residents in Xiamen City was(68.80±8.73)points,but only 19.6％of residents knew about"internet+nursing services".There were statistically significant differences in willingness to use among community residents with different ages,medical payment type,whether they knew"internet+nursing services"or not,and the number of service items needed(P＜0.05).Among them,age,whether they knew"internet+nursing services"or not and the number of service items needed were the main influencing factors of willingness to use(P＜0.05).Conclusion Community residents in Xiamen City show above the middle level of willingness to use"internet+nursing services".However,the popularity of"internet+nursing services"has a large room for improvement.The publicity to the residents should be strengthened,and the care needs of residents with different demographic characteristics should be considered.The supporting application functions of such platforms should be designed to meet the health needs of community residents,especially elderly patients with great demand for services.

Objective To investigate residents'willingness to use"internet+nursing services"of a community in Xiamen City and provide reference for the code of practice to promote the service.Methods A total of 350 community residents in Xiamen City were investigated by convenience sampling from January to December 2023.The questionnaire was self-designed with regard to their willingness to use"internet+nursing services".Results 336 questionnaires were effectively collected.The total score of willingness to use"internet+nursing services"of community residents in Xiamen City was(68.80±8.73)points,but only 19.6％of residents knew about"internet+nursing services".There were statistically significant differences in willingness to use among community residents with different ages,medical payment type,whether they knew"internet+nursing services"or not,and the number of service items needed(P＜0.05).Among them,age,whether they knew"internet+nursing services"or not and the number of service items needed were the main influencing factors of willingness to use(P＜0.05).Conclusion Community residents in Xiamen City show above the middle level of willingness to use"internet+nursing services".However,the popularity of"internet+nursing services"has a large room for improvement.The publicity to the residents should be strengthened,and the care needs of residents with different demographic characteristics should be considered.The supporting application functions of such platforms should be designed to meet the health needs of community residents,especially elderly patients with great demand for services.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

Confirmed cases of Lyme disease(LD)in Ji'an City,Jiangxi Province and the clinical manifestations and region-al distribution were assessed to provide a basis for timely diagnosis and treatment.In total,133 serum samples were collected from patients with suspected LD in Ji'an Central People's Hospital from December 2021 to August 2022.Serum antibodies a-gainst Borrelia burgdorferi were detected with a two-step testing process.In addition,a specific gene of B.burgdorferi in samples was identified by nested PCR.Sequencing analysis was conducted to confirm the positive samples.Overall,25(18.80％)serum samples were positive for B.burgdorferi nucleic acid and antibodies,which included 20(15.04％)positive for antibodies and 6(4.51％)positive for nucleic acids.The sequences of the 5S-23S rRNA gene spacer of 6 samples were con-sistent with the corresponding sequences of Borrelia yangtzensis and one of the six samples was also positive for antibodies.The 25 positive samples were collected from 9 counties in Ji'an City,with the majority in Jizhou District(44％).All positive patients may experience symptoms related to LD,including joint disorders,neurological disorders,infectious fever,der-matitis,and/or chest pain.The most common symptom was joint disorders(72％).Six cases positive for B.yangtzensis nucleic acids were mainly collected in the Jizhou District,of which four had joint lesions and two had infectious fever.This study confirms the existence of LD in Jiangxi Province,which may be the first confirmation of human infection with B.yan-gtzensis in southern China.Hence,doctors in this region should consider the possibility of LD for cases presenting with related symptoms.Although LD may occur in this region,further investigations and monitoring are warranted.

OBJECTIVE: To evaluate clinical effect of transcutaneous acupoint electrical stimlation (TEAS) on perioperative immune function and postoperative recovery in patients with total knee arthroplasty (TKA). METHODS: From November 2021 to July 2022, 80 patients with unilateral TKA were selected and divided into TEAS group and sham TEAS group according to different treatment methods. There were 40 patients in TEAS group, including 9 males and 31 females;aged from 61 to 79 years old with an average of (66.90±5.86) years old;body mass index (BMI) ranged from 19.53 to 30.47 kg·m^-2 with an average of (25.34±2.83) kg·m^-2;21 patients on the left side, 19 patients on the right side;according to American Society of Anesthesiologists (ASA), 30 patients with gradeⅡ, 10 patients with grade Ⅲ;TEAS were administered at the bilateral Hegu (LI4), Neiguan (PC6) and non-operative Zusanli (ST36) and Sanyinjiao (SP6) points from 30 min before anesthesia to the end of operation, the frequency was 2/10 Hz, current intensity was tolerable and/or muscle rhythmic twitches of limbs were performed. There were 40 patients in sham TEAS group, including 9 males and 31 females;aged from 60 to 80 years old with an average of (67.35±4.29) years old;27 patients on the left side and 13 patients on the right side;BMI ranged from 20.02 to 30.09 kg·m^-2 with an average of (25.02±2.23) kg·m^-2;28 patients with gradeⅡand 12 patients with grade Ⅲ according to ASA;Electrodes were attached to the same points without electrical stimulation. Percentage contents of 24 h CD3+, CD4+, CD8+ and NK cells, postoperative infection, incidence of nausea, vomiting, abdominal distension and pruritus within 48 h after surgery, the first time on the ground, length of hospital stay and quality of recovery-15 (QoR-15) score were compared between two groups. RESULTS: Compared with pseudoteas group, expressions of CD3+ and CD4+ T lymphocytes in TEAS group were significantly increased at 24 h after surgery (P<0.05). The incidence of nausea within 48 h after surgery and the time spent on the ground early after surgery were significantly decreased (P<0.05). There was no significant difference in postoperative secondary infection, adverse reactions such as vomiting, abdominal distension, pruritus and hospitalization days (P>0.05). CONCLUSION Percutaneous acupoint electrical stimulation could improve perioperative cellular immunity in patients with total knee replacement, alleviate immunosuppression, reduce incidence of postoperative adverse reactions, and promote early postoperative recovery.
Humans ; Male ; Female ; Aged ; Middle Aged ; Arthroplasty, Replacement, Knee ; Acupuncture Points ; Postoperative Period ; Transcutaneous Electric Nerve Stimulation/methods* ; Recovery of Function