Objective To optimize the extraction process of Xuetong capsules and establish its quality control method. Methods The extraction process was optimized by orthogonal experiment using ethanol reflux method to investigate the effects of different factors on diphenylstilbene, aloin and extraction yield. The content of 5 anthraquinone compounds in Xuetong capsule was determined by HPLC. Results The optimal extraction process was to add 10 times ethanol, with an ethanol concentration of 70%, and extract 3 times, each time for 1 h; 5 components had a good linear relationship with peak area within a certain concentration range, r>0.999 7; The range of sample recovery rate was 93.66%-96.85%, RSD range of 1.48%-1.66%. The content determination results of the 5 components in three batches of Xuetong capsules were （0.632-0.641）, （0.660-0.681）, （1.968-1.991）, （2.547-2.580）, and （1.076-1.101） mg/g. Conclusion The method was accurate, reproducible, and highly feasible, which could be references for producing and improving the quality control standards of Xuetong capsules.

ObjectiveTo investigate the incidence of stroke in patients with type 2 diabetes mellitus (T2DM) in the community of Shanghai, and to explore its influencing factors. MethodsA two-way cohort study was used to observe the incidence of stroke in a dynamic cohort of14 743 community-based T2DM patients who were enrolled for management from January 2016 to December 2018 in Hongkou District, Shanghai. All the research subjects were followed up for 3 years to observe the stroke occurrence. Outcome events were retrospectively collected from the Shanghai Stroke and Acute Myocardial Infarction Registry Reporting Information System and the Cause of Death Registry System, and information on stroke onset and verification of past medical history were collected by family physicians through clinic follow-up, home follow-up, and telephone follow-up. Cox proportional hazards model was used to identify the risk factors of stroke in TDM2 patients, and the hazard ratio (HR) and its 95% confidence interval (CI) were calculated. ResultsAfter a mean follow up of 3.5 years, the standardized incidence of stroke in patients with T2DM was 8.65‰, and the risk of standardized incidence was 3.50 (95%CI: 3.26‒3.77) compared with that of the total national population. Cox proportional hazards regression analysis showed that age (HR=1.18, 95%CI: 1.13‒1.23), being female (HR=1.14, 95%CI: 1.01‒1.29), physical activity <600 metabolic equivalent (MET)·min·week^-1 (HR=1.24, 95%CI: 1.06‒1.44), substandard of HbA1c control (HR=1.16, 95%CI: 1.03‒1.30), occasional smoker(HR=1.23, 95%CI: 1.04‒1.45), and those who took insulin therapy (HR=1.36, 95%CI: 1.11‒1.66) were associated with an increased risk of stroke, while those received contracted services from family doctors were associated with a decreased risk of stroke(HR=0.78, 95%CI: 0.71‒0.88). ConclusionCommunity T2DM population in Shanghai has a high risk of stroke. It is necessary to continue to explore the positive role of family doctor contract service management model, strengthen individualized exercise, smoking cessation and other lifestyle interventions, and strictly control blood glucose as soon as one can to delay or avoid the occurrence of complications.

In this paper， by consulting the ancient and modern literature， the name， origin， quality evaluation， harvesting and processing， and others of the original animal and medicinal materials of Moschus were systematically sorted out and verified， in order to provide the basis for the development and utilization of the famous classical formulas containing Moschus. According to the textual research， musk deer was first recorded in Shanhaijing. Shennong Bencaojing was recorded as Moschus and all generations were used as the correct name， but there were also aliases such as Shefu， Xiangzhang and Xiangqizi. In ancient times， Moschus berezovskii， M. sifanicus and M. moschiferus were the main sources of Moschus， and the quality of Moschus produced in northwest China was better than that produced in the Yangtze River basin. In modern times， Moschus of M. moschiferus produced in northeast China， M. sifanicus produced in Gansu， Sichuan and other places， and M. berezovskii produced in Ningxia， Shaanxi and other places are regarded as genuine. In ancient times， gunshots， lassoes， arrow shots and other methods were generally used to hunt live musk deer， and the sachets were immediately cut off. Those with high quality were called Xiangshanhuo， and dried in the shade after harvesting， which was known as Maoke Shexiang. Cut open the sachet， remove the shell and dry preservation， commonly known as Moschus kernel. In modern times， the method of taking Moschus from the living body of cultured musk deer is adopted， that is， Moschus kernel is directly taken from its sachet， dried in the shade or dried in a closed dryer. This method realizes the sustainable utilization of Chinese herbal medicine resources， but attention should be paid to the frequency and quality of Moschus. The harvesting time is mostly after the autumnal equinox every year， and before the next summer， it is better to gather sachet in winter. In recent times， it is believed that the shell Moschus is dry， full， thin， elastic， loose inside， many particles， strong and persistent aroma for the best， while the Moschus kernel is particle purple-black， powder yellow-brown， soft and oily texture， strong and persistent aroma for the best. The ancient processing method of Moschus was extracting kernels from the shell. After removing impurities， it is ground and used as medicine. Because its composition is not suitable for heating， the processing method is most common in preparations such as grinding into powder and putting into pills or powders， which has the effect of opening up the orifices and refreshing the mind， and it has continued to this day. Based on the research conclusions， it is suggested that the development of famous classical formulas containing Moschus， M. sifanicus， M. moschiferus and M. berezovskii should be used as the origins. According to the processing requirements specified in the original formula， it should be processed and used as medicine， while those without processing requirements should be used as raw products.

Objective:To explore the role of arginine metabolism in the inflammatory response to influenza A virus (FluA) infection.Methods:Eighteen-month-old mice were infected with FluA via nasal drip, with samples collected on the 6th day post-infection. The concentration of cytokines was determined by the Luminex multifactor assay, while the metabolites in bronchoalveolar lavage fluid (BALF) were analyzed using targeted metabolomic method. Correlation analysis was employed to examine the correlation between cytokines and metabolites. Macrophages were infected with FluA at a multiplicity of infection (MOI) of 1 and cultured with different concentrations of arginine for 24 h. The mRNA and protein expression levels of interleukin (IL)-1β, IL-6, tumor necrosis factor α (TNF-α) and IL-10 were detected by real time fluorescence quantitative RT-PCR (qRT-PCR) and Cytometric Bead Array (CBA).Results:In comparison to the control group, the levels of surfactant protein D (SP-D), TNF-α, monocyte chemotactic protein-1 (MCP-1), IL-1α, IL-6, IL-10, recombinant S100 calcium binding protein (S100) A9, interferon inducible protein 10 (IP-10), macrophage inflammatory protein-1α (MIP-1α), matrix metalloprotein-9 (MMP-9), and Complement Factor D in BALF of FluA infection exhibited a significant elevation. The concentrations of arginine, aspartate, citrulline, glutamic acid, ornithine, proline, creatine, and sarcosine in arginine metabolism were up-regulated, which was correlated with most of elevated cytokine levels. The supplementation of arginine after FluA infection significantly decreased the levels of IL-1β, IL-6, and TNF-α, but increased the level of IL-10 in macrophages.Conclusions:Arginine reduces the inflammatory response induced by FluA infection in macrophages, suggesting that it may be a potential intervention target for severe pulmonary inflammation following FluA infection.

Objective:To analyze any effect of combining hyperbaric oxygen with qingkailing on the metabolic biomarkers of consciousness disorder (CD) caused by brain trauma using metabolomics technology. Also, to screen out diagnostic markers for clinical treatment and prognosis.Methods:Thirty-six patients with a CD caused by brain trauma formed the observation group, while 40 healthy gender-, age- and ethnicity-matched individuals were the control group. Both groups were given routine supportive treatment, while the observation group additionally received hyperbaric oxygen and oral qingkailing medication. Before and after 14 days consciousness disturbance was evaluated using the Glasgow Coma Scale (GCS). Venous blood was collected for metabolomic analysis using liquid chromatography linked to a mass spectrometer to screen out specific metabolic biomarkers. Metabolic markers associated with the disease and of diagnostic significance were thus identified.Results:After the treatment the average GCS score of the observation group had improved significantly and the degree of coma was significantly relieved. Twenty-one metabolic markers were found to be significant, with creatine, proline, uric acid, acetyl-L-carnitine, histidine, proline leucine, tryptophan and 9E-octagenoic acid potentially of high diagnostic value. After the treatment, all of those markers came close to the levels observed in the healthy control group.Conclusions:Proline, leucine, 9E-octagenoleic acid, uric acid and acetyl-L-carnitine could be used for diagnosis and evaluating efficacy with such patients. Hyperbaric oxygen supplemented with qingkailing can relieve coma, correct metabolic disorders and accelerate patients′ awakening. Metabolomics provides a new method for identifying endogenous metabolic abnormalities in patients with post-traumatic consciousness disorders. It can be useful in prognosis and clinical treatment.

Objective:To establish a scoring system for preoperative prediction of the malignant potential of gastric stromal tumors based on gastroscopic and endoscopic ultrasound features, along with validation.Methods:A total of 286 patients who were treated in Jiangsu Province Hospital of Chinese Medicine from January 1, 2017 to December 31, 2023 and diagnosed as having gastric stromal tumors by postoperative pathology were enrolled in the modeling group. According to National Institutes of Health classification system, 227 very-low/low-risk patients were classified into the low malignant potential (LMP) group, and the 59 intermediate/high-risk patients into the high malignant potential (HMP) group. LASSO regression analysis was performed to identify predictive factors for HMP gastric stromal tumors, and a nomogram prediction model was developed. Internal validation using the Bootstrap method was performed on the modeling group, and external validation was performed on data from 85 patients who were treated and diagnosed as having gastric stromal tumors by postoperative pathology in Taizhou People's Hospital from January 1, 2021 to December 31, 2023. The receiver operator characteristic (ROC) curves, calibration curves, and decision curve analyses were employed in both the modeling and external validation groups.Results:Tumor size (coef=0.755), tumor shape (coef=0.015), tumor location (coef=0.008), growth pattern (coef=-0.026), cystic change (coef=0.685), and surface unceration change (coef=-0.545) were the independent predictive factors for HMP gastric stromal tumors. The nomogram-based prediction model constructed using these factors achieved an area under the ROC curve of 0.959 (95% CI: 0.898-0.903) in the modeling group and 0.959 (95% CI: 0.857-1.000) in the external validation group. The model demonstrated good accuracy (0.917) and a Kappa value of 0.737 in internal validation. Calibration curve and decision curve analyses indicated strong calibration and high net benefit in both the modeling and the external validation groups. Conclusion:Tumor size, tumor shape, tumor location, growth pattern, cystic change, and surface ulceration change are independent predictive factors for HMP gastric stromal tumors. The nomogram model developed based on these factors offers effective and convenient visualization for clinicians to predict the malignant potential of gastric stromal tumors preoperatively.

Objective To analyze cognition,attitude,behavior status and influencing factor of neurological nurses for early rehabilitation of stroke.Methods A tatol of 182 neurological nurses from 8 tertiary hospitals in Urumqi were selected as the research subjects to investigate the cognition,attitude from December 2022 to June 2023,and behavior status of neurology nurses for early rehabilitation of stroke and analyze their influencing factors.Results The scores of 182 neurological nurses during early rehabilitation of stroke were(72.57士6.79),the scoring rate was 72.57％,which was in the middle level.The average score of attitude was(89.62±2.94),and the scoring rate was 89.62％,which was at a high level.The average score of behavior was(62.08±21.50),and the scoring rate was 62.08％,which was in the middle level.Multivariate regression analysis showed that age was the influence factor of nurses'early rehabilitation cognition dimension and attitude dimension(P＜0.05);The influence factors of nurses'early rehabilitation behavior were their professional title and whether stroke had occurred among relatives and friends(P＜0.05).Conclusion Neurological nurses have a positive attitude towards early rehabilitation of stroke,but they do not implement nursing measures enough.It is suggested that rehabilitation nursing training courses should be set up to encourage nurses to update their knowledge and strengthen their self-learning so as to improve nursing behavior and improve nursing quality.

Objective:To explore the application effect of multi-sensory stimulation with breastmilk in preterm infants with venipuncture pain, so as to provide theoretical guidance for clinical implementation of neonatal pain management.Methods:This study was a randomised controlled trial that selected 90 cases of preterm infants who were admitted to the Department of Neonatal Internal Medicine of Shanxi Children′s Hospital from May to October 2023, and were randomly divided into the control group and the intervention group, with 45 cases in each group. The control group received routine neonatal analgesia based on preparation before intervention, and the intervention group received multi-sensory stimulation with breastmilk based on preparation before intervention. Premature Infant Pain Profile-Revised(PIPP-R), The Chinese COMFORTneo Scale and physiological stress indicators (heart rate and oxygen saturation) were used to compare the pain level, comfort level and physiological stress response of preterm infants in the two groups 3 min before, during and 1 to 5 min after the venipuncture operation.Results:Finally, 80 cases of preterm infants were included with 40 cases in each group. The control group was born at a gestational age of (34.61 ± 1.16) weeks, with 19 males and 21 females; the intervention group was born at a gestational age of (34.74 ± 1.16) weeks, with 22 males and 18 females. Comparison between the groups showed that during and 5 min after the operation, the PIPP-R scale scores of the intervention group were (6.83 ± 0.26), (0.80 ± 0.25) points, respectively, which were lower than those of the control group (12.25 ± 0.70), (2.83 ± 0.36) points, and the differences were statistically significant (Wald χ2=53.31, 21.43, both P<0.01).The Chinese COMFORTneo Scale scores of the intervention group were (14.15 ± 0.64), (6.45 ± 0.13) points, which were lower than those of the control group (20.87 ± 0.82), (8.20 ± 0.32) points, and the differences were statistically significant (Wald χ2=41.89 and 25.75, both P<0.01); the heart rate of the intervention group were (161.07 ± 1.09), (142.48 ± 0.99) beats/min, which were lower than those of the control group(169.30 ± 1.93), (147.23 ± 2.15) beats/min, and the differences were statistically significant (Wald χ2=13.83, 4.03, both P<0.05). During the operation to 2 min after the operation, the blood oxygen saturation of the intervention group were 0.950 3 ± 0.004 0, 0.959 3 ± 0.003 4, 0.9663 ± 0.003 0, respectively, which were higher than those of the control group 0.925 3 ± 0.003 6, 0.940 5 ± 0.003 6, 0.9500 ± 0.004 3, and the differences were statistically significant (Wald χ2=21.98, 14.62, 9.70, all P<0.05). Conclusions:Multi-sensory stimulation with breastmilk can reduce the pain degree in preterm infants, improve the comfort level of preterm infants, reduce the physiological stress response and promote physiological stability of preterm infants during and after the operation of venipuncture.

Objective To investigate the effects of the thickness of the chest wall compensation film and the patient's body characteristics on the setup errors and radiation dose of breast cancer patients receiving intensity-modulated radiotherapy following surgery.Methods A total of 103 patients with breast cancer who were treated in the Tumor Radiotherapy Center of Fuyang Cancer Hospital from January 2021 to June 2023 were selected for a prospective study.All patients received cone-beam CT scan.The effects of body mass index(BMI),tumor location,chest circumference,and the affected breast volume on the setup errors were analyzed;and the effects of different compensation film thicknesses on the radiation doses to the planning target volume(PTV),lung,heart,and spinal cord were explored.Results The left-right setup errors didn't differ significantly in breast cancer patients with different BMI and affected sides(P>0.05);but the patients with chest circumference≥89.0 cm and affected breast volume≥650 cm3 had greater left-right setup errors than the other patients(chest circumference<89.0 cm and affected breast volume<650 cm3)(P<0.05).The difference in the superior-inferior setup errors was trivial in breast cancer patients with different affected sides(P>0.05),but the superior-inferior setup errors were greater in patients with BMI≥23.1 kg/m2,chest circumference≥89.0 cm,and breast volume on the affected side≥650 cm3 than the others(BMI<23.1 kg/m2,chest circumference<89.0 cm,and breast volume on the affected side<650 cm3)(P<0.05).There was no significant difference in the anterior-posterior setup errors in breast cancer patients with different BMI,chest circumferences,breast volumes,and affected sides(P>0.05).For left-sided breast cancer,the measured values of D95%and D5%of PTV,V20%of left lung,V30%and Dmean of heart,Dmax of spinal cord,MU,and HI in patients with 0.5 and 1.0 cm compensation films were close(P>0.05);while lower CI was found in patients with 0.5 cm compensation film than those with 1.0 cm compensation film(P<0.05).For right-sided breast cancer,the measured values of D95%and D5%of PTV,V20%of right lung,Dmax of spinal cord,MU,CI,and HI didn't differ significantly between patients using 0.5 and 1.0 cm compensation films(P>0.05).Conclusion The BMI,chest circumference,and breast volume on the affected side in breast cancer patients undergoing intensity-modulated radiotherapy are all associated with the setup errors.Both 0.5 and 1.0 cm chest wall compensation films can be used for postoperative radiotherapy,which has little effect on the dosimetry and accelerator MU.

Objective To establish the rapid identification method of Hedysari Radix wild and cultivated products by integrating the identification characteristics of TCM traits obtained by intelligent senses such as electronic nose and colorimeter based on the multivariate statistical analysis method;To provide new ideas and methods for the formulation of commodity specification standards and the application research of market quality control for Hedysari Radix.Methods Totally 29 batches of samples of Hedysari Radix were detected based on colorimeter and electronic nose technology to obtain their sensory information,and the effective components of Hedysari Radix were determined by high performance liquid chromatography(HPLC)and other methods for joint analysis.After establishing the optimal experimental conditions of Hedysari Radix electronic nose,multivariate statistical analysis methods,such as principal component analysis(PCA),orthogonal partial least squares-discriminant analysis(OPLS-DA)and clustering analysis,were used to establish the identification model of Hedysari Radix wild and cultivated commodities.Results The optimum test conditions of Hedysari Radix electronic nose(particle size of 65 mesh):the sample weight was 2.0 g,the optimum temperature of the sample was 50℃,and the time was 25 min.A single intelligent sensory result could not quickly and accurately identify the two,but the fusion information could quickly identify the wild and cultivated commodities of Hedysari Radix,and the chemical composition had a certain correlation with the color and taste.Conclusion Electronic nose and colorimeter can quickly and accurately distinguish wild and cultivated Hedysari Radix after multivariate statistical analysis,which is simple and feasible.The combined analysis of its related properties and active components can be used for the quality evaluation of Hedysari Radix.