ObjectiveTo explore psychological experiences and care needs of elderly patients with chronic obstructive pulmonary disease (COPD) following dysphagia. MethodsFrom April to June, 2024, 13 elderly patients with COPD and dysphagia received treatment in Yixing No. 2 People's Hospital (Yixing Occupational Disease Institute) and Northern Jiangsu People's Hospital were interviewed. Nvivo 11.0 and content analysis were employed to analyze and summarize themes. ResultsTwo main themes were identified. The psychological experiences included fear of eating due to swallowing and choking, swallowing anxiety in social situations, concerns about malnutrition, and emotional loss related to family. The care needs included improvement in swallowing function, adjustment of food texture, assistance with disease adaptation and effective access to health education information. ConclusionHealthcare professionals should thoroughly understand the psychological and needs of elderly patients with COPD-related dysphagia, and comprehensive nursing strategies should be developed and implemented to improve swallowing function and overall quality of life.

Objective: A prognostic risk model for lung adenocarcinoma patients was established based on the cancer genome atlas(TCGA) database to explore the prognostic performance of autophagy related gene risk model for lung adenocarcinoma patients and its correlation with immune microenvironment． Methods: Clinical information and transcriptome data of lung adenocarcinoma patients were downloaded and extracted from TCGA database，and 232 autophagy-related genes were screened from the human autophagy database．cox regression analysis was used to screen out four autophagy genes independently associated with prognosis．The prognostic prediction model of lung adenocarcinoma was constructed by risk score ，and the performance of prediction model was evaluated by ROC curve．The relationship between risk scores and tumor immune microenvironment was explored using ESTIMATE ( estimation of stromal and immune cells in malignant tumour tissues using expression data) and CIBERSORT algo- rithms. Results: Thirty differentially expressed autophagy-related genes were identified in lung adenocarcinoma， of which four autophagy genes (BIRC5，ERO1A，ITGB4，NLRC4 ) could predict the prognosis of the patients. Grouped by risk score，the Kaplan-Meier analysis demonstrated that the survival rate of high-risk group was signifi- cantly lower than that of low-risk group(P＜0. 000 1) ．The ROC curve proved the accuracy of the model in predic- ting the prognosis of lung adenocarcinoma ( AUC = 0. 757 ) ．The ESTIMATE and CIBERSORT analyses revealed that the risk scoring model was associated with multiple immune cells and immune infiltrates in the tumor microenvi- ronment． Conclusion Compared with clinical data，the autophagy gene prognostic risk model can better predict the prognosis of patients with lung adenocarcinoma．In the high-risk group，CD4 + memory quiescent cells can im- prove prognosis in lung adenocarcinoma patients.

Objective: To construct nomogram to predict the risk of bone metastasis in patients with non-small cell lung cancer(NSCLC). Methods: The clinical data of NSCLC patients diagnosed in the hospital were retrospectively analyzed, including the occurrence of bone metastasis, age, gender, pathological type, smoking status, PS score, TN stage, metastasis of other sites before bone metastasis, carcinoembryonic antigen(CEA) level, alpha fetoprotein(AFP) level, serum calcium(Ca2+), serum phosphorus(P), alkaline phosphatase(ALP) level, which were determined by univariate and multivariate logistic regression analysis. Receiver operating characteristic curve(ROC) and decision curve analysis were used, DCA was used to verify the accuracy and clinical benefit of the model, and nomogram was used to visualize the model. Results: Area under the ROC curve(AUC) showed that in the modeling group(n=138) and the validation group(n=92), the AUC value predicted by combined indicators(age, gender, pathological type, CEA, ALP)(modeling group=0.792, validation group=0.629) was higher than that predicted by single indicator. Conclusion The prediction model constructed in this study has good effect and can provide reference for clinical screening of high-risk patients with bone metastasis of NSCLC.

OBJECTIVE To determ ine the contents of main active constituents in Gynura divaricata leaf with different drying methods and at different harvesting time ，so as to confirm the best drying method and harvesting time. METHODS G. divaricata leaf with different drying methods [drying in the shade ，drying in the sun ，oven drying （60℃，70℃，80℃），microwave drying and freeze drying] and different harvesting time （March to October ）were prepared. The content of water-soluble extract was determined by hot dip method. The contents of total flavonoids and polysaccharides were determined by ultraviolet-visible spectrophotometry. The content of astragalin was determined by HPLC. Analytic hierarchy process was used for comprehensive analysis. RESULTS The time of drying in the shade ，drying in the sun ，drying at 60 ℃，drying at 70 ℃，drying at 80 ℃， microwave drying and freeze drying were 7 d，5 d，8 h，5 h，3.5 h，6 min and 1 d respectively. The average contents of water-soluble extract in G. divaricata leaf were 55.98％，60.78％，52.33％，49.54％，46.87％，59.70％ and 58.24％；those of total flavonoids were 3.27％，3.22％，1.99％，1.70％，1.31％，3.92％ and 2.28％；those of polysaccharides were 4.70％，6.09％， 6.48％，5.45％，5.74％，5.76％ and 7.15％；those of astragalin were 0.48％，0.46％，0.24％，0.23％，0.20％，0.48％，0.29％. The comprehensive score of microwave drying was the highest ，being 0.996 3. The average contents of water-soluble extract from March to October were 41.50％，40.57％，39.16％，40.65％，40.68％，43.30％，45.19％ and 40.12％；those of total flavonoids were 2.24％，2.81％，3.87％，3.92％，3.82％，3.93％，3.66％ and 3.25％；those of polysaccharides were 4.41％，4.61％， 4.98％，5.26％，5.75％，5.94％，5.32％ and 4.47％；those of astragalin were 0.20％，0.21％，0.25％，0.26％，0.25％，0.24％， 0.25％ and 0.21％，respectively. The comprehensive scores of samples collected from May to September exceeded 0.92，and the comprehensive score in August was the highest （0.988 6）. CONCLUSIONS Microwave-dried Gynura divaricata leaf has the best quality ，and the best harvesting time is from May to September.

Objective:To describe the baseline characteristics of the subjects enrolled in the China Quantitative CT (QCT) big data program in 2018—2019.Methods:Based on baseline data from the Chinese health big data project from January 2018 to December 2019 from the eligible enrolled population, measurements of bone mineral density (BMD) and visceral adipose tissue (VAT) were performed using Mindways′ QCT Pro Model 4 system. The baseline data of age, gender, regional distribution, height, weight, abdominal circumference, blood pressure, blood routine and blood biochemical tests were analyzed. And the single factor analysis of variance (ANOVA) was used to check the age related trend of BMD and VAT in both genders.Results:After screening the inclusion exclusion criteria and outliers of the main indicators, 86 113 people were enrolled in the project. The enrollment rate was 92.47%, including 35 431 (41.1%) women and 50 682 (58.9%) men, and the ratio of men to women was 1.43. The mean age was (50.3±12.7) years in all the subjects, and it was (50.2±12.8) years and (50.4±12.5) years in men and women, respectively, and there was no statistical difference between the two genders ( P>0.05). Total of 43 833 people were enrolled in east China, it was the largest group by region (50.90%), it was followed by central China (16 434 people, 19.08%), and the number of people enrolled in Northeast China was the lowest (2 914 people, 3.38%). The rate of completing of health information indicators related to the main outcome of the study were all above 70%, and there were significant differences between men and women (all P<0.05). The mean BMD was (139.33±46.76) mg/cm 3 in women, (135.90±36.48) mg/cm 3 in men, which showed a decreasing trend with age in both gender (both P<0.001); the mean intra-abdominal fat area was (116.39±56.23) cm 2 in women, (191.67±77.07) cm 2 in men, and there was an increasing trend with age in both men and women (both P<0.001). Conclusions:There are gender differences in BMD and VAT measured by QCT with different age tendency, and there are gender differences in health information index. Regional factors should also be taken into account for regional differences in the inclusion of data.

Objective:To investigate the normal reference values of spinal bone mineral density measured by quantitative computed tomography (QCT) and the differences of bone mineral density (BMD) in different regions of in Chinese adult males.Methods:Men who underwent low-dose CT lung scan for cancer screening in regions of Northeast, North, East, South, Central and Southwest of China from January 2018 to December 2019 were selected. And the lumbar vertebrae BMD values in the male subjects were measured by the QCT system (Mindways Software, Inc.). The mean BMD values and their decline rates were calculated at an age interval of 10 years, and the prevalence of osteoporosis was calculated according to the American College of Radiology spine QCT osteoporosis diagnostic criteria.Results:A total of 50 682 males with a mean age of (50.22±12.79) years (ranged 20 to 98 years) were included in this study. The peak BMD of (173.11±28.56) mg/cm 3 in the healthy Chinese adult male population appeared in the age group of 20 to 29 years and then declined with age. Before the age of 70 years, the BMD was relatively higher in males in South China, and it was lower in Central China and Southwest China, and it was intermediate in Northeast, North and East of China, with statistically significant differences. There was no significant differences in BMD in the males in the two age groups of 70 to 79 years and 80 and older among the regions in China. The overall decline rate of spinal BMD in Chinese males under QCT was about 46.92% over the lifetime, and it declined obviouslyin the 40-49 age group. The overall prevalence of osteoporosis in Chinese male population aged 50 years and above was approximately 11.42%, with the highest prevalence in Southwest China and Central China (14.72% and 13.87%, respectively) and the lowest in North China and South China (8.53% and 7.71%, respectively). Conclusions:A reference of lumbar spine BMD values for healthy males in China based on QCT is established. BMD values were highest in South China and Lowest in Central China.

Objective:To establish the normal reference value of lumbar bone mineral density (BMD) under quantitative CT (QCT) in Chinese healthy adult females and to explore the regional differences.Methods:Total of 35 431 healthy women who met the inclusion criteria of Chinese health quantitative CT big data program were selected in this study. The BMD of the central plane of L 1 and L 2 vertebrae was measured by Mindways′s QCT system, and the mean value was taken. One-way analysis of variance was used to compare the BMD differences of lumbar vertebrae in women of different ages and regions. The subjects were grouped by an age interval of 10 years, and the level of BMD in different regions of the same age group were compaired. Results:The peak BMD of Chinese healthy adult women appeared in the age group of 20-29 years (Northeast China(183.01±24.58) mg/cm 3, North China (188.93±24.80) mg/cm 3, East China (187.54±27.71) mg/cm 3, South China (186.22±33.72) mg/cm 3, Central China (176.33±24.91) mg/cm 3, Southwest China(182.25±28.00) mg/cm 3), and then it decreased with age. The level of BMD in different regions decreased with the age. Before the age of 70 years, BMD in Central and Southwest China was always at a low level((176.23±24.91) to (90.38±28.12) mg/cm 3, 182.25±28.00 to (88.55±25.68) mg/cm 3), lower than those in Northeast China ((183.01±24.58) to (99.69±27.85) mg/cm 3), North China ((188.93±24.80) to (95.89±26.12) mg/cm 3), East China ((187.54±27.71) to (95.65±27.86) mg/cm 3). After 70 years of age, BMD tended to be the same in different regions ( P>0.05). The BMD values in Central China and Southwest China were similar in the age group of 40-60 years ( P>0.05). The BMD values in the health adult femles in the age group of 60 years in different regions of Chinawere all lower than those of bone mass abnormality (all P<0.05). The detection rate of osteoporosis in females over 50 years was the highest in Southwest China (25.65%) and it was the lowest in North China (17.30%). Conclusions:This study establishes reference values of BMD under QCT in healthy Chinese women, which can be used as a reference basis for identifying women with low BMD who are at risk of osteoporosis. The BMD value is the lowest in Southwest China and the highest in South China.

Objective:To use quantitative computed tomography (QCT) technology to measure the bone mineral density of the spine of the Chinese healthy population, and to explore its correlation with hemoglobin and serum albumin.Methods:The data in this study came from the China Health Quantitative CT Big Data Project (China Biobank). The spine bone density was measured by using QCT Pro Image Analysis System and all cooperating centers used the European spine phantom (NO.145) for quality control. Total of 50 053 healthy persons who met the criteria for entry were selected as the research subjects. The subjects were divided into 7 groups according to age. The general data, spine bone density, serum albumin, hemoglobin of the subjects were collected. The single-factor analysis of variance, Pearson correlation analysis and multi-classification logistic regression model were applied to analyze the correlation between bone density and hemoglobin and serum albumin.Results:The bone mineral density of healthy people decreased with age ( P<0.05), and there were significant differences in hemoglobin, serum albumin and body mass index (BMI) among different age groups (all P<0.05). Linear correlation analysis showed that there were positive correlation between bone mineral density and hemoglobin in healthy males in different age groups ( r=0.086, 0.101, 0.076, 0.090, 0.072, 0.123, 0.100, all P<0.01). There were negative correlation between bone mineral density and hemoglobin in certain age groups in women (40-49 years group: r=-0.027; 70-79 yearsgroup: r=-0.077; both P<0.05). And corelation were found between bone mineral density and serum levels of albumin in certain age groups of healthy subjects (among men, 30-39 years group: r=-0.048; 40-49 years group, r=-0.027; 70-79 years group, r=-0.051; among women, 30-39 years group: r=-0.044; 40-49 years group, r=-0.042; 50-59 years group, r=-0.086; 70-79 years group, r=-0.070; all P<0.05). After adjusting for age and BMI, the multi-category logistic regression analysis showed that the hemoglobin level was protective factor of normal bone density ( OR=1.022, 95% CI:1.017-1.027) and decreased bone density ( OR=1.012, 95% CI:1.007-1.016) in healthy males, and the serum albumin was risk factor for normal bone density ( OR=0.926, 95% CI:0.905-0.948) and decreased bone density ( OR=1.006, 95% CI:0.951-1.011) in healthy women. Conclusion:There is a correlation between bone mineral density and hemoglobin and serum albumin in Chinese healthy population. Hemoglobin is a protective factor for bone mineral density in men, and serum albumin is a risk factor for bone mineral densityin women.

OBJECTIVE：To e stablish and compare HPLC fingerprints of green Forsythia suspensa and grown F. suspensa ，and to conduct cluster analysis and principle component analysis. METHODS ：HPLC method was adopted. The determination was performed on Hypersil C 18 column with mobile phase consisted of acetonitrile- 0.1％ formic acid （gradient elution ）. The detection wavelength was 235 nm and column temperature was 25 ℃ with the flow rate of 1.0 mL/min. The sample size was 10 μL. HPLC fingerprints of 8 batches of green F. suspensa （Q1-Q8）and 6 batches of grown F. suspensa （L1-L6）were drawn ，with phillyrin as reference；the similarity evaluation was conducted by using Similarity Evaluation System of TCM Chromatographic Fingerprint （2012 edition），and common peak was confirmed. Cluster analysis and principal component analysis were carried out with SPSS 23.0 software. RESULTS ：There were 19 common peaks for green F. suspensa and grown F. suspensa ，among which 6 peaks were identified，i.e. forsythoside A ，rutin，pinoresinol-β-D-glucoside，phillyrin，quercetin and phillygenin ；the similarities of HPLC fingerprints from green F. suspensa and grown F. suspensa were 0.351-0.767；results of cluster analysis showed that green F. suspensa and grown F. suspensa were classified into 4 categories，among which L 1-L6 were clustered into one category ，Q1 was clustered into one category ，Q2-Q6 were clustered into one category ；Q7-Q8 were clustered into one category. The results of principal component analysis showed that the cumulative variance contribution rate of the first three principal components was 83.14％， L1-L6 distribution was close ，Q2-Q6 distribution was close ，Q7-Q8 distribution was close ，and Q 1 distribution was independent ， which was consistent with the results of cluster analysis. CONCLUSIONS ：There were significant differences in the common peaks of fingerprint of green F. suspensa and grown F. suspensa of similarity eraluation ，cluster analysis and principle component analysis，the established HPLC fingerprint can be used for comprehensive evaluation and quality comparison of green F. suspensa and grown F. suspensa .

Objective:To investigate the relationship between abdominal visceral adipose tissue (VAT) and cardiometabolic risk (CMR) through quantitative computed tomography (QCT).Methods:The present study included 76226 participants. Abdominal fat areas were measured using the QCT Pro Model 4 system. Cardiometabolic indices were collected, including systolic and diastolic blood pressures, fasting plasma glucose, total cholesterol, triglyceride, and low-density and high-density lipoprotein cholesterols CMR score was the sum of abnormal blood pressure, fasting glucose, triglyceride, and high-density lipoprotein cholesterol. Restricted cubic spline and ordered logistic regression models were applied.Results:The mean age was 50±13 years and the percentage of men was 58.8%. The level of VAT area was higher in men than in women (191.7±77.1 cm 2 vs 116.4±56.2 cm 2, P<0.0001 for all). After adjustment for age, the cardiometabolic indices except high-density lipoprotein cholesterol increased with increasing VAT area. When VAT area was 300 cm 2, age-adjusted odds ratios and 95% confidence intervals of a CMR score ≥ 1 were 14.61 (13.31, 16.04) for men and 5.46 (4.06, 7.36) for women, and the age-adjusted probability of a CMR score ≥ 3 was 31.7% for men and 31.3% for women. Conclusions:QCT-derived VAT is closely related to CMR. The findings suggest that measurement of visceral fat is recommended for the management of abdominal obesity in subjects who agree to undergo lung cancer screening via low-dose CT without additional radiation exposure.