Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Gastric ulcer （GU） is a high-incidence digestive system disease characterized pathologically by disruption of gastric mucosal integrity， with clinical features including a prolonged course and periodic recurrence. Modern medicine attributes its pathogenesis to the dynamic imbalance between aggressive and defensive factors，while traditional Chinese medicine （TCM） posits its development as closely linked to spleen deficiency. Current therapies combining acid suppressants and antibiotics face challenges such as high recurrence rates，poor mucosal healing，and adverse drug reactions. Long-term use may induce metabolic disturbances like hypergastrinemia and reduced intestinal microbiota diversity. Therefore，exploring safer and longer-lasting therapeutic strategies has become a critical focus. TCM has extensive clinical experience and unique advantages in GU prevention and treatment. Studies demonstrate that the classic formula Shenling Baizhu San exhibits therapeutic properties of "invigorating spleen and tonifying Qi to restore physiological balance and eliminating dampness and regulating middle energizer to unblock Qi movement"， enabling a holistic approach targeting both symptoms and root causes in GU with spleen deficiency as the core pathology by suppressing aggressive factors and strengthening defensive factors. Experimental research reveals its mechanisms involve enhancing the physicochemical barrier of the mucus layer，repairing epithelial barriers and microcirculation，modulating gastric acid secretion and gastrointestinal motility，and regulating microecological barriers and mucosal immunity. Clinical evidence confirms its synergistic effects in promoting ulcer healing，improving Helicobacter pylori eradication rates，and reducing recurrence risks. This review examined the etiology and pathogenesis of GU and systematically evaluated Shenling Baizhu San from three perspectives-clinical application，pharmacological effects， and experimental research-to provide insights for optimizing integrated traditional Chinese and Western medicine protocols and expanding its clinical applications.

Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.

Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

Objective:To investigate the correlation between peri-coronary fat attenuation index (FAI) and plaque formation in patients with myocardial bridge (MB) of the left anterior descending artery (LAD) using coronary computed tomography angiography (CCTA) and to develop an optimal predictive model to explore the potential application of FAI in the primary prevention of MB related atherosclerosis.Methods:In this retrospective study, prediction models associated with perivascular fat inflammation were developed and validated using both logistic regression and machine learning (ML) algorithm. A training dataset was collected from 253 patients who underwent ≥2 coronary computed tomography angiography (CCTA) with ≥3 months intervals from one tertiary hospital from January 2007 to April 2021 and had baseline CCTA showing no plaques in LAD MB. The median follow-up time was 3.2 years. According to the same criteria, a total of 75 LAD MB patients from four other hospitals were included to form an independent external validation dataset, with a median follow-up time of 1.8 years. Receiver operating characteristic (ROC) curve analysis with integrated discrimination improvement (IDI) and category net reclassification index (NRI) were used to compare the performance of the predictive models.Results:62 patients (24.5%) in the training dataset had proximal plaque formation in LAD MB, while 22 patients (29.3%) in the external validation dataset had plaque formation during the follow-up period. Baseline FAI within the longitudinal distance equal to 30 mm proximal to the MB entrance was an independent predictor ( OR=1.068, P=0.046). According to the model results, ROC curves were plotted. The AUC of Model 1 was 0.822, and the AUCs of Model 2 and 1 were 0.821 and 0.591 in the training dataset. After the DeLong test, the AUC of Model 1 was superior to that of Model 2 ( Z=2.839, P=0.005) and Model 1 ( Z=6.124, P<0.001). These findings were further validated in the external validation dataset, where ML-model 3 yielded the best predictive performance, outperforming the logistic regression-based Model 2 (categorical NRI=0.359, P=0.048; IDI=0.108, P=0.046). Conclusion:FAI measured within the 30 mm proximal to the entrance of MBs due to its prone to plaque development is an independent predictor for atherosclerotic plaque formation. The ML-prediction model based on a decision tree algorithm combines FAI, MB anatomical features, and patient risk factors, which is beneficial for patients undergoing routine CCTA examination to identify inflamed coronary arteries in advance and guide the clinical adoption of more targeted preventive treatment, including anti-inflammatory treatment.

Objective:To describe the body mass index (BMI) level and long-term trends of Chinese older adults aged 65 and above.Methods:Older adults aged 65 and above from six waves (2002-2018) of the China Longitudinal Healthy Longevity Survey were selected as the study population. Multiple cross-sectional design with six survey waves conducted in 2002, 2005, 2008, 2011, 2014, and 2018 was adopted, enrolling 15 647, 15 358, 15 622, 9 166, 6 302, and 12 417 participants, respectively. Additionally, a total of 13, 755 participants were included in the cohort study design. Relevant information was collected through questionnaires and physical examinations. The χ2 trend test was used to compare the changes in the rates of underweight and overweight/obesity over the years, and the linear mixed-e?ects model (LMM) was used to fit trajectory curves of BMI changes with advancing age in older adults. Results:The baseline ages of the participants included in 2002, 2005, 2008, 2011, 2014, and 2018 were (85.16±11.26), (84.23±11.83), (84.99±12.16), (81.10±11.86), (78.89±11.30), and (83.08±12.42) years, respectively, with a relatively high proportion of females and rural residents. In the cohort study, the 13 755 participants had a median ( Q1, Q3) follow-up time of 6.5 (5.2, 10.0) years, with a cumulative follow-up duration of 109 041 person-years. In each wave, males had higher BMI than females, urban residents had higher BMI than rural residents, and BMI gradually decreased with increasing age (all P<0.001). The mean BMI of older adults in China increased from (19.37±3.80) kg/m2 in 2002 to (22.04±4.01) kg/m2 in 2018 ( P<0.001). Across all survey years, the prevalence of underweight was consistently higher in women than in men and in rural areas than in urban areas, with an upward trend as age increased (all P<0.001). In 2018, the underweight rates in the 65-79, 80-89, 90-99, and ≥100-year-old age groups were 8.0%, 16.7%, 26.2%, and 35.5%, respectively. Meanwhile, the prevalence of overweight/obesity was higher in men than in women and in urban areas than in rural areas, showing a declining trend with advancing age (all P<0.001). The prevalence of underweight among the older adults decreased significantly from 45.2% in 2002 to 18.9% in 2018 ( P<0.001), while the prevalence of overweight/obesity increased from 11.0% in 1998 to 29.6% in 2018 ( P<0.001). The trajectory curves fitted by the LMM model showed that individuals born in later decades had higher BMI levels at the same age compared to earlier cohorts. Conclusion:From 2002 to 2018, the BMI level among Chinese older adults showed an increasing trend. The prevalence of underweight showed a declining trend, while the rates of obesity and overweight increased. However, the underweight rate remained notably high among the oldest old.

Objective:To investigate the expression levels, correlation, and diagnostic efficacy of peripheral blood CD8 +T lymphocyte subsets and different immune checkpoint markers in patients with Brucellosis. Method:A case-control study was conducted on 32 patients with acute phase brucellosis (27 males and 5 females, aged 36 (30, 43) years), 38 patients with chronic phase brucellosis (30 males and 8 females, aged 40 (32, 48) years), and 30 healthy controls (24 males and 6 females, aged 39 (32, 46) years), who underwent physical examination at Xinjiang Uygur Autonomous Region People′s Hospital from February 1, 2021 to December 31, 2023. All subjects had fasting blood sampling once in the morning. Flow cytometry was used to detect the proportion of peripheral blood lymphocyte subsets, the expression levels of CD8 +T lymphocyte surface programmed cell death receptor-1 (PD-1), T lymphocyte immunoglobulin receptor with Ig and ITIM domains (TIGIT), T cell immunoglobulin and mucin domain containing protein 3 (TIM-3), perforin and granzyme B. The changes in these indicators during the acute and chronic phases of the disease were observed, and correlation analysis was performed using Spearman′s method. Receiver Operating Characteristic Curve (ROC) analysis is used to evaluate the diagnostic value of immunological indicators with differences in acute and chronic brucellosis. Results:CD3 +T lymphocyte in the chronic group (70.71%±8.78%) is significantly lower than that in the healthy control group (74.65%±7.31%) ( P<0.05), and CD4 +T lymphocyte in the acute phase group (39.52%±5.85%) is also lower than that in the healthy control group (45.10%±5.18%) ( P<0.01); while CD8 +T lymphocyte in the acute group (31.73%±5.87%) is significantly higher than that in the chronic phase group (26.75%±4.71%) ( P<0.001). There was a statistically significant difference ( P<0.001) in CD8+CD28 -T lymphocyte among the acute group (69.85% (58.62%, 78.55%)), chronic group (86.46% (73.30%, 92.52%)) and healthy control group (25.39% (20.60%,32.90%)), when compared pairwise. The expression levels of immune checkpoint PD-1, TIGIT, and TIM-3 on the surface of CD8 +T lymphocytes were higher in both the acute and chronic groups than in the healthy control group ( P<0.001). The expression level of perforin secreted by CD8 +T lymphocytes in the acute and chronic groups was lower than that in the healthy control group ( P<0.05), while the expression level of granzyme B in the acute and chronic groups was higher than that in the healthy control group ( P<0.01). The proportion of CD8 +CD28 -T lymphocytes in brucellosis patients was positively correlated with the expression levels of TIGIT and TIM-3 ( r=0.624, 0.406, P<0.001). The ROC curve combined with the proportion of CD8 +CD28 -T lymphocytes and the proportion of TIGIT on the surface of CD8 +T lymphocytes can distinguish acute and chronic brucellosis. The Area Under Curve (AUC) is 0.973, which has certain implications for clinical differentiation of patients with acute and chronic diseases. Conclusion:The CD8 +T lymphocyte subsets in patients with brucellosis exhibit dynamic changes, accompanied by changes in relevant immune checkpoint molecules, and can regulate the activation and inhibition of the immune status of brucellosis patients. The synergistic effect of CD8 +CD28 -T cells and TIGIT/TIM-3 may be a key mechanism of driving chronicity, and their combined diagnosis can serve as a clinical staging marker.

Objective To investigate the therapeutic efficacy of the combination of upper limb rehabilitation robots(ULRR)and ultrasound-guided extracorporeal shock wave(ESW)in the treatment of mild to moderate rotator cuff injuries.Methods A total of 90 patients with mild to moderate rotator cuff injuries,who were admitted to the Second Affiliated Hospital of Anhui Medical University between January 2023 and March 2024,were selected and randomly assigned to three groups:Group A(basic rehabilitation),Group B(basic rehabilitation+ESW),and Group C(basic rehabilitation+ESW+ULRR),with 30 patients in each group.Before and after treatment,shoulder pain was assessed using the visual analogue scale(VAS).Proprioception was evaluated based on shoulder joint position reproduction error.The integral electromyography(iEMG)and root mean square(RMS)values of the median tract,supraspinatus,infraspinatus,and deltoid muscles on the affected side were measured using surface electromyography(sEMG).The active range of motion(AROM)for external rotation,abduction,and forward flexion of the affected shoulder was measured using a standard goniometer.Overall shoulder function was evaluated using the Constant-Murley Shoulder Score(CMS).The clinical efficacy rate and patient satisfaction levels were compared among the three groups.Results After treatment,the VAS score and shoulder position reproduction deviation angle in all three groups significantly decreased.Additionally,the iEMG and RMS values of the middle deltoid,supraspinatus,and infraspinatus muscles;the AROM of shoulder external rotation,abduction,and forward flexion;and the CMS scores(including pain,activities of daily living,active range of motion,and muscle strength)all showed significant improvement.Furthermore,the degree of improvement in all evaluated parameters in Group C was significantly greater than that observed in Groups A and B(P<0.05).Moreover,Group C demon-strated a significantly higher clinical response rate and greater patient satisfaction compared to Groups A and B(P<0.05).Conclusion For patients with mild to moderate rotator cuff injuries,the integration of an upper limb rehabilitation robot with extracorporeal shock wave therapy demonstrates superior therapeutic outcomes,effectively alleviating pain,enhancing motor function and proprioception,and increasing overall patient satisfaction.

Objective:To investigate the effect of dandelion polysaccharide(DP)on inflammatory response and the protein expression of S100 calcium binding protein A8/A9(S100A8/A9)in lung tissue and small intestinal tissue of rats with multiple organ dysfunction syndrome(MODS).Methods:The two-hit method of hemorrhagic shock and intraperitoneally injected lipopolysaccharide was used to establish a rat model of MODS,and the rats were divided into sham-operation group,model group,low-dose DP group,and high-dose DP group.The organ coefficient and wet/dry weight ratio of the lung and the small intestine were observed for each group of rats;HE staining was used to observe the pathomorphological changes of lung tissue and small intestinal tissue;immunohistochemical staining was used to measure the expression of interleukin-1β(IL-1β),interleukin-6(IL-6),and interleukin-10(IL-10)in lung tissue and small intestinal tissue;Western blot was used to measure the protein expression level of S100A8/A9 in lung tissue and small intestinal tissue.Results:Compared with the sham-operation group,the model group had significant increases in the organ coefficient of the lung(5.849±0.824),the wet/dry weight ratio of the lung(6.556±0.631),the wet/dry weight ratio of the small intestine(6.356±0.535),and the wet weight/length ratio of the small intestine(73.950±5.569).HE staining showed that that the model group had massive in-flammatory cell infiltration in alveolar space and pulmonary interstitium,thickened alveolar wall,and disintegration and fragmentation of the villi of the small intestine,with inflammatory cell infiltration and proliferation of segmental aggregated lymphoid follicles.In the model group,S100A8/A9 was mainly expressed in neutrophils and macrophages,and there were increases in the expression of S100A8/A9,IL-1β,and IL-6 and a reduction in the expression of IL-10 in the lung tissue and small intestinal tissue of rats.After treatment with high-dose DP,there were reductions in the organ coefficient of the lung(4.297±0.462),the wet/dry weight ratio of the lung(5.313±0.495),the wet/dry weight ratio of the small intestine(5.398±0.388),and the wet weight/length ratio of the small intestine(59.417±2.891).The high-dose group also had alleviation of pathological injury in the small intestine,with reductions in the expres-sion of S100A8/A9,IL-1β,and IL-6 and an increase in the expression of IL-10 in lung tissue and small intestinal tissue.Conclusion:DP may alleviate inflammatory response in lung and small intestinal injuries of rats with MODS by inhibiting the expression of S100A8/A9.