This paper proposes a two-stage method integrating visual foundation models （VFM） and diffusion models. The segment anything model （SAM） as VFM is combined with the SegRefiner diffusion model to construct the SAM-SegRefiner framework for automated segmentation of edema， inflammation， and thrombus regions in histopathological images of hemorrhoidal tissue， providing a reproducible technical tool for the objective quantification of pathological morphology and its application in traditional Chinese medicine （TCM） syndrome research. Trained and validated on multi-center retrospective data， the SAM-SegRefiner model achieved an average pixel accuracy of 95.32% and a mean intersection over union （mIoU） of 66.81% on an independent test set， significantly outperfor-ming comparative models such as U-Net， MixU-Net， and SAM-Med2D， and also demonstrating robust cross-center generalization capability. Furthermore， by correlating the quantitatively segmented results from the model with the patients' TCM syndrome types， the potential associations between pathomorphological features and TCM syndrome differentiation have been explored. The analysis revealed no statistically significant differences in the degree of inflammatory infiltration and thrombus formation among different syndrome types， suggesting a complex relationship between local pathological changes and systemic syndrome manifestations.

BACKGROUND: It is inaccurate to reflect the level of dust exposure through working years. Furthermore, identifying a predictive indicator for lung function decline is significant for coal miners. The study aimed to explored whether club cell secretory protein (CC16) levels can reflect early lung function changes. METHODS: The cumulative respiratory dust exposure (CDE) levels of 1,461 coal miners were retrospectively assessed by constructed a job-exposure matrix to replace working years. Important factors affecting lung function and CC16 were selected by establishing random forest models. Subsequently, the potential of CC16 to reflect lung injury was explored from multiple perspectives. First, restricted cubic spline (RCS) models were used to compare the trends of changes in lung function indicators and plasma CC16 levels after dust exposure. Then mediating analysis was performed to investigate the role of CC16 in the association between dust exposure and lung function decline. Finally, the association between baseline CC16 levels and follow-up lung function was explored. RESULTS: The median CDE were 35.13 mg/m³-years. RCS models revealed a rapid decline in forced vital capacity (FVC), forced expiratory volume in the first second (FEV₁), and their percentages of predicted values when CDE exceeded 25 mg/m³-years. The dust exposure level (<5 mg/m³-years) causing significant changes in CC16 was much lower than the level (25 mg/m³-years) that caused changes in lung function indicators. CC16 mediated 11.1% to 26.0% of dust-related lung function decline. Additionally, workers with low baseline CC16 levels experienced greater reductions in lung function in the future. CONCLUSIONS CC16 levels are more sensitive than lung indicators in reflecting early lung function injury and plays mediating role in lung function decline induced by dust exposure. Low baseline CC16 levels predict poor future lung function.
Uteroglobin/blood* ; Humans ; Dust/analysis* ; Occupational Exposure/analysis* ; Male ; Middle Aged ; Adult ; Retrospective Studies ; Lung Injury/chemically induced* ; Coal Mining ; Biomarkers/blood* ; China/epidemiology* ; Air Pollutants, Occupational ; Female

Objective To explore the effectiveness of the diffusion of innovation theory in com-bination with multidisciplinary nursing collaboration in intervention for patients with severe pneumonia complicated by heart failure.Methods A total of 120 patients with severe pneumonia complicated by heart failure admitted between April 2021 and April 2024 were enrolled and randomly divided into observation group(n=60)and control group(n=60)using a random black-and-white ball method.The control group received conventional nursing intervention,while the observation group received an intervention model combining the diffusion of innovations theory with multidisciplinary collaboration on top of the conventional nursing.Rehabilitation outcomes(time to control of pulmonary inflammation,time to resolution of cough and expectoration,length of hospital stay)and post-intervention cardiac function[left ventricular ejection fraction(LVEF),left ventricular end-systolic volume(LVESV)]were compared between the two groups.The Minnesota Living with Heart Failure Questionnaire(MLHFQ)was used to assess quality of life,and the Self-Care Heart Failure Index(SCHFI)was used to evaluate self-care behaviors.Complications were compared between the two groups,and cost-effectiveness was analyzed(patient medical expenses and re-hospitalization rates).Results The observation group had shorter time to resolution of cough and expectoration,control of pulmonary inflammation,and length of hospital stay compared with the control group,with statistically significant differences(P＜0.05).After intervention,LVEF increased in both groups compared with pre-intervention lev-els,and was higher in the observation group than in the control group,with a statistically significant difference(P＜0.05);ESV decreased in both groups compared with pre-intervention levels,and was lower in the observation group than in the control group,with a statistically significant difference(P＜0.05).After intervention,physiological,emotional,and social functioning scores in the MLHFQ decreased in both groups compared with pre-intervention levels,and were lower in the ob-servation group than in the control group,with statistically significant differences(P＜0.05).After intervention,scores for self-care maintenance,self-care management,and self-care confidence in the SCHFI increased in both groups,and were higher in the observation group than in the control group,with statistically significant differences(P＜0.05).There was no statistically significant difference in the incidence of complications between the two groups(P＞0.05).Conclusion The combination of the diffusion of innovations theory and multidisciplinary collaboration nursing model can accelerate the rehabilitation process in patients with severe pneumonia complicated by heart fail-ure,improve their quality of life,and effectively enhance their self-care abilities.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To explore the impact of different preoperative fluid supplementation methods (oral multidimensional carbohydrates and conventional fluid supplementation) on early postoperative recovery and pain management in patients undergoing unilateral biportal endoscopic (UBE) spine surgery.Methods:A retrospective cohort study was conducted to analyze the data of 386 patients who underwent UBE lumbar spine surgery under general anesthesia in the two courtyards of Beijing Friendship Hospital Affiliated to Capital Medical University from May 2023 to April 2024. All patients were divided into oral multidimensional carbohydrates ( "Outfast" supplementation, composed mainly of water, sugars, salts, and vitamins) group (referred to as oral "Outfast" group, 189 patients) and conventional fluid supplementation group (197 patients) according to the type of fluid replenishment. Patients in the oral "Outfast" group were given one oral dose in the morning of the first surgery, and another oral infusion before 10∶00 in the morning of the next surgery or afternoon surgery. Patients in the conventional fluid supplementation group received intravenous infusion in the morning of the first surgery, and were given intravenous infusion of glucose and sodium chloride injection in the morning of the next surgery or afternoon surgery. The two groups were compared for the proportion of patients receiving preoperative intravenous fluids on the day of surgery, intraoperative and postoperative fluid volumes, average daily fluid volumes over the first three postoperative days, time to first postoperative ambulation, time to first bowel movement, post-anesthesia care unit (PACU) stay duration, 4-hour and 24-hour postoperative visual analog scale (VAS) pain scores, incidence of anesthesia-related adverse reactions, and incidence of severe gastrointestinal adverse reactions. The measurement data of normal distribution were expressed as mean±standard deviation ( ± s), and t-test was used for inter-group comparison. The measurement data of skewed distribution were expressed as M ( Q1, Q3) and rank sum test was used for inter-group comparison. Count data was presented in terms of examples and percentages, and a chi-square test was used for comparison between two groups. Results:In the oral "Outfast" group, 8 patients (4.2%) received preoperative intravenous fluids on the day of surgery, compared to 136 patients (69.0%) in the conventional fluid supplementation group, showing a significant difference ( P<0.001). The postoperative fluid volumes, average daily fluid volumes over the first three postoperative days, and shorter time to first ambulation in the oral multidimensional carbohydrates group were 700.0(600.0, 1 100.0) mL, 200.0(200.0, 300.0) mL, and 6.0(6.0, 11.0) h, respectively. The conventional fluid supplementation group was 1 100.0(700.0, 1 200.0) mL, 600.0(500.0, 700.0) mL, and 12.0(6.0, 19.0) h, respectively. The oral "Outfast" group was lower than the conventional fluid supplementation group ( P<0.001).There were no significant differences between the two groups in intraoperative fluid volumes, time to first bowel movement, PACU stay duration, 4-hour and 24-hour VAS pain scores, incidence of anesthesia-related adverse reactions, or incidence of severe gastrointestinal adverse reactions ( P>0.05). Conclusions:Preoperative oral multidimensional carbohydrates supplementation effectively reduces the amount of preoperative and postoperative intravenous fluid required, shortens the time to first ambulation. Preoperative oral multidimensional carbohydrates is safe and does not adversely impact gastrointestinal reactions or pain management in the postoperative period.

Objective To establish a universally applicable logistic risk prediction model for diabetes mellitus type 2(T2DM)in the middle-aged and elderly populations based on the results of a Meta-analysis,and to validate and confirm the efficacy of the model using the follow-up data of medical check-ups of National Basic Public Health Service.Methods Cohort studies evaluating T2DM risks were identified in Chinese and English databases.The logistic model utilized Meta-combined effect values such as the odds ratio(OR)to derive β,the partial regression coefficient,of the logistic model.The Meta-combined incidence rate of T2DM was used to obtain the parameter α of the logistic model.Validation of the predictive performance of the model was conducted with the follow-up data of medical checkups of National Basic Public Health Service.The follow-up data came from a community health center in Chengdu and were collected between 2017 and 2022 from 7 602 individuals who did not have T2DM at their baseline medical checkups done at the community health center.This community health center was located in an urban-rural fringe area with a large population of middle-aged and elderly people.Results A total of 40 cohort studies were included and 10 items covered in the medical checkups of National Basic Public Health Service were identified in the Meta-analysis as statistically significant risk factors for T2DM,including age,central obesity,smoking,physical inactivity,impaired fasting glucose,a reduced level of high-density lipoprotein cholesterol(HDL-C),hypertension,body mass index(BMI),triglyceride glucose(TYG)index,and a family history of diabetes,with the OR values and 95% confidence interval(CI)being 1.04(1.03,1.05),1.55(1.29,1.88),1.36(1.11,1.66),1.26(1.07,1.49),3.93(2.94,5.24),1.14(1.06,1.23),1.47(1.34,1.61),1.11(1.05,1.18),2.15(1.75,2.62),and 1.66(1.55,1.78),respectively,and the combined β values being 0.039,0.438,0.307,0.231,1.369,0.131,0.385,0.104,0.765,and 0.507,respectively.A total of 37 studies reported the incidence rate,with the combined incidence being 0.08(0.07,0.09)and the parameter α being-2.442 for the logistic model.The logistic risk prediction model constructed based on Meta-analysis was externally validated with the data of 7 602 individuals who had medical checkups and were followed up for at least once.External validation results showed that the predictive model had an area under curve(AUC)of 0.794(0.771,0.816),accuracy of 74.5%,sensitivity of 71.0%,and specificity of 74.7% in the 7 602 individuals.Conclusion The T2DM risk prediction model based on Meta-analysis has good predictive performance and can be used as a practical tool for T2DM risk prediction in middle-aged and elderly populations.

Chronic liver injury caused by any etiology will lead to liver fibrosis, and it was believed in the past that liver fibrosis is a static and irreversible pathophysiological process. In recent years, with the rapid development of molecular biology and the in-depth research on the microscopic aspect of the liver, more and more evidence has shown that liver fibrosis is a dynamic and reversible process. This article reviews the reports of different methods for evaluating the reversal of liver fibrosis caused by various etiologies, summarizes the pathogenesis and reversal mechanism of liver fibrosis, reviews the therapeutic drugs for reversal, and summarizes the current evaluation methods for liver fibrosis, and finally, it is believed that timely clearance or control of potential etiology may help to achieve the reversal of liver fibrosis to a certain degree.

Objective:To explore the association of different obesity measurement indexes on serum C-reactive protein (CRP) in Chinese adult women.Methods:The data were obtained from baseline and follow-up surveys of the urban Breast Cancer Screening Program in Shuangliu District, Chengdu. A total of 441 adult women were included in the study. A questionnaire survey, physical examination, and laboratory testing were conducted on the subjects. Multivariate logistic regression model, two-level mixed effects logistic regression model, and restricted cubic spline method were used to investigate the linear and nonlinear correlation between different obesity measurement indexes and serum CRP in adult women.Results:For every 1 unit increase in BMI, waist circumference (WC), and adiposity, the risk of elevated serum CRP or exacerbation of chronic low-grade inflammation in adult women increased by 16.5%, 5.0%, and 11.1% ( P<0.05), respectively. Both BMI and adiposity were nonlinear correlated with serum CRP. Using BMI=24.0 kg/m 2 as the reference point, serum CRP level increased with the increase of BMI when BMI >24.0 kg/m 2. Using adiposity=30% as the reference point, serum CRP level increased with the increase of adiposity when adiposity >30%. Conclusions:Overall, obesity reflected by BMI had the strongest association with serum CRP in adult women, followed by body fat content reflected by adiposity, and central obesity reflected by WC had the weakest association with CRP. Adult women with BMI >24.0 kg/m 2 or adiposity >30% are at high risk for obesity-related inflammatory manifestations.

Background Air pollutants PM_2.5 and its adsorbed metal elements are important factors affecting public health. Objective To explore the distribution characteristics and sources of metal elements in atmospheric PM_2.5 in Lanzhou from 2019 to 2020, and to assess the health risks of metal elements to different groups of residents through inhalation. Methods From January 2019 to December 2020 in two districts of Lanzhou City (Chengguan District and Xigu District), regular PM_2.5 and metal elements [antimony (Sb), aluminum (Al), arsenic (As), beryllium (Be), cadmium (Cd), chromium (Cr), mercury (Hg), lead (Pb), manganese (Mn), nickel (Ni), selenium (Se), and thallium (Tl)] were regularly monitored, and their concentrations were described by the median (M) and 25^th and 75^th percentiles (P₂₅, P₇₅) as not following a normal distribution (because the detection rates of the five elements Be, Cr, Hg, Ni, and Se were less than 70%, the five elements were not included in subsequent analysis), and then compared with the secondary concentration limits in the Ambient Air Quality Standards (GB 3095-2012). The differences between the medians of the two groups were compared by the Mann-Whitney U rank sum test, and the differences among the medians of multiple groups were compared by the Kruskal-Wallis H rank sum test; the enrichment factor (EF) method and principal component analysis were used to evaluate the pollution degree of the metals and their sources; the health risks of five non-carcinogenic metals (Sb, Al, Pb, Mn, and Tl) and two carcinogenic metals (As and Cd) in PM_2.5 were evaluated by hazard index (HI) and hazard quotient (HQ) using the incremental lifetime cancer risk (LCR) model and the non-carcinogenic risk assessment model, respectively. Results The PM_2.5 concentrations [M (P₂₅, P₇₅)] in Lanzhou City were 38.50 (26.00, 65.00) and 41.00 (29.00, 63.10) μg·m⁻³ in 2019 and 2020, respectively, and the difference was not statistically significant (Z=−0.989, P > 0.05). The average levels of the metal elements from high to low were: Al > Pb > Mn > As > Cd > Sb > Tl, and the annual average concentration of each metal element in 2019 was higher than that in 2020 (P<0.05). The M ( P₂₅, P₇₅) of PM_2.5 concentrations in Chengguan and Xigu districts were 52.98 (17.00, 61.00) and 55.40 (17.00, 67.00) μg·m⁻³, respectively, with no statistically significant differences (P<0.05); the concentrations of Sb and Al in Chengguan District were lower than those in Xigu District (P<0.05), and the concentrations of other metal elements were not different between the two areas (P>0.05). There were seasonal differences in the concentrations of PM_2.5 and seven metal elements in Lanzhou City (except P_Al=0.007, the other P_s < 0.001). The results of the enrichment factor method showed that the EF values of the six metals (Sb, Al, As, Cd, Pb and Tl) were all greater than 1. Among them, except As, the EF values of other metal elements were all greater than 10, and the EF values of Al and Cd were both greater than 100. The results of principal component analysis showed that the variance contributions of the three principal components were 45.61%, 24.22%, and 14.42%, and the cumulative contribution reached 84.25%. The principal component 1 included Pb, As, Cd, and Sb, the principal component 2 included Al and Mn, and the principal component 3 contained Tl. The non-carcinogenic risks of the five metals were, in descending order, Al > Mn > Pb > Tl > Sb, among which the HQ values of the remaining four metals were less than 1 for adults and children, except the HQ value of Al for adults, which was greater than 1. The ILC values of carcinogenic metal As for adult males, adult females, and children were 2.68×10⁻⁵, 2.51×10⁻⁵, and 1.45×10⁻⁵, respectively; the ILC values of carcinogenic metal Cd for adult males, adult females, and children were 1.53×10⁻⁶, 1.43×10⁻⁶, and 8.26×10⁻⁷, respectively. Conclusion There is pollution of atmospheric PM_2.5 and its adsorbed metal elements in Lanzhou. As and Cd elements may pose potential carcinogenic risks to the residents.

Background Because of high working intensity, high responsibility, and unexpected situations, health care workers may suffer great work pressure, which may lead to health damage. Objective To explore the self-rated health status and its influencing factors such as demographic and occupational-related factors of medical staff in Lanzhou. Methods In-service medical staff were selected by using cluster random sampling method from 18 public hospitals in Lanzhou City and were investigated with a self-made questionnaire and the Self-rated Health Measurement Scale (SRHMS). SRHMS includes 48 items in 10 dimensions, which are divided into three sub-scales of physical health, mental health, and social health, and another independent dimension is overall health. The scores were converted into a percentage scale and expressed as the percentage of measured score to full score; a higher score indicated better health, and >70% was considered good health status. t test, Kruskal-Wallis H test, and Spearman correlation were used to analyze the scores of SRHMS and the demographic and occupational-related factors affecting the scores of physical, mental, and social health sub-scales. Results A total of 2989 valid questionnaires were recovered. There were statistically significant differences in total score and the scores of physical, mental, and social health among medical staff of different age, educational background, length of service, and weekly working hours groups (P < 0.05). The percentage of total score to full score in the medical staff was 71.41%, but the scores of physical, mental, and social health sub-scales and total scale of selected participants were all lower than the corresponding domestic norms (t=−3.323, −12.283, −7.157, −9.659, P < 0.05); the percentage of psychological symptoms and negative emotions in mental health scale to full score was the lowest, only 58.39%. Educational background, length of service, and weekly working hours were negatively correlated with physical health score (r=−0.061, −0.060, −0.165, P < 0.05); professional title was positively correlated with mental health score (r=0.045, P < 0.05), while educational background and weekly working hours were negatively correlated with it (r=−0.051, −0.172, P < 0.05). Monthly income, professional title, and length of service were positively correlated with social health score (r=0.040, 0.049, 0.071, P < 0.05), while educational background and weekly working hours were negatively correlated with it (r=−0.038, −0.110, P < 0.05). Conclusion The self-rated health status of selected medical staff in Lanzhou is generally good, but lower than that of the norm, especially the mental health score is the lowest. The self-rated health score of total scale is correlated with education, length of service, professional title, and working time per week.