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.

Objective: o develop an onset risk prediction nomogram for patients with homocysteine-type (H-type) hypertension (HTH) based on pulse diagram parameters to assist early clinical prediction and diagnosis of HTH. Methods: Patients diagnosed with essential hypertension and admitted to Shanghai Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai Hospital of Traditional Chinese Medicine, and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine from July 6th 2020 to June 16th 2021, and from August 11th 2023 to January 22nd 2024, were enrolled in this retrospective research. The baselines and clinical biochemical indicators of patients were collected. The SMART-I TCM pulse instrument was applied to gather pulse diagram parameters. Multivariate logistic regression was adopted to analyze the risk factors for HTH. RStudio was employed to construct the nomogram model, receiver operating characteristic (ROC) curve, and calibration curve (bootstrap self-sampling 200 times), and clinical decision curve were drawn to evaluate the model’s discrimination and clinical effectiveness. Results: A total of 168 hospitalized patients with essential hypertension were selected and divided into non-HTH group (n = 29) and HTH group (n = 139). Compared with non-HTH group, HTH group had a lower body mass index (BMI), and higher proportions of male patients and drinkers (P < 0.05). The ventricular wall thickening (VWT) could not be determined. The proportions of left common carotid intima-media wall thickness (LCCIMWT) and serum creatinine (SCR) were higher in HTH group (P < 0.05). The pulse diagram parameter As was significantly higher, and H4/H1 and T1/T were lower in HTH group (P < 0.05). Gender, alcohol consumption, serum creatinine, and the pulse diagram parameter H4/H1 were identified as independent risk factors for HTH (P < 0.05). The nomogram’s area under the ROC curve (AUC) was 0.795 [95% confidence interval (CI): (0.706 6, 0.882 8)], with a specificity of 0.724 and sensitivity of 0.799. After 200 times repeated bootstrap self-samplings, the calibration curve showed that the simulated curve fits well with the actual curve (x2 = 9.5002, P = 0.301 9). The clinical decision curve indicated that the nomogram’s applicability was optimal when the threshold for predicting HTH was between 0.38 and 1.00. Conclusion The nomogram model could be valuable for predicting the onset risk of HTH and pulse diagram parameters can facilitate early screening and prevention of HTH.

OBJECTIVES: Depression is a common negative emotion that can significantly impact physical and mental health. Due to their occupational characteristics, medical staff are more susceptible to depression compared to the general population. This study aims to explore the influence of future-oriented coping on depression among medical staff and the mediating roles of psychological resilience and perceived stress, providing theoretical guidance for depression intervention strategies in this group. METHODS: A cross-sectional survey was conducted among medical staff at a tertiary hospital using convenience sampling. Data were collected via the "Wenjuanxing" platform. A total of 754 questionnaires were distributed; after excluding invalid responses (e.g., duplicate IPs or insufficient completion time), 655 valid questionnaires were retained (valid response rate: 86.87%). Instruments included a demographic questionnaire, the Future-Oriented Coping Scale, the Connor-Davidson Resilience Scale, the Perceived Stress Scale, and the Self-Rating Depression Scale. All scales demonstrated high internal consistency (Cronbach's α>0.88) and validity. SPSS 27.0 was used for descriptive analysis, and PROCESS macro (Model 6) was used to test the chain mediation model. Harman's one-factor test was applied to control for common method bias. RESULTS: Descriptive analyses showed that future-oriented coping was positively correlated with psychological resilience and negatively correlated with perceived stress and depression. Mediation analysis revealed that future-oriented coping significantly predicted lower depression levels among medical staff (β=-0.283, P<0.001). Psychological resilience partially mediated the relationship (effect size=-0.329, accounting for 34.13% of the total effect), as did perceived stress (effect size=-0.099, 10.27%). A significant chain mediation path was identified: "future-oriented coping → psychological resilience → perceived stress → depression" (effect size=-0.253, 26.24%). The total indirect effect accounted for 70.64% of the overall effect, highlighting the substantial role of the mediating pathways. CONCLUSIONS Future-oriented coping can reduce depressive symptoms in medical staff, with psychological resilience and perceived stress serving as key mediators in a chain structure. These findings suggest that enhancing future-oriented coping strategies and psychological resilience may improve stress adaptation and reduce depression levels in this population.
Humans ; Adaptation, Psychological ; Resilience, Psychological ; Cross-Sectional Studies ; Depression/psychology* ; Surveys and Questionnaires ; Stress, Psychological/psychology* ; Male ; Female ; Adult ; Middle Aged ; Medical Staff/psychology* ; Occupational Stress/psychology*

Objective To analysed the related studies on varicocele in children and adolescents,and investigate the development status,research focus and frontiers in this field.Methods The literatures on varicocele in children and adolescents published between 2000 and 2023 was retrieved from Web of Science and visualized with R language software.Results A total of 684 articles were included,and the annual number of publications showed a steady growth trend.The United States ranked the first in the world and formed a core group of authors.Key words clustering showed that"semen parameters/infertility/oxidative stress","repair/ligation of spermatic vein","measurement and evaluation of testicular volume","testis and ultrasound examination","laparoscopic examination and treatment","sclerotherapy and embolization of spermatic vein"were the focus of current research.The mechanism of sperm quality decline was a research frontier.Conclusion The correlation between varicocele and male fertility in children and adolescents is a clinical problem worthy of further study.

[Objective]To provide insights into the clinical diagnosis and treatment of infectious diseases in summer through probing into the theory of heat epidemic and its characteristics formulated by famous doctors in the past dynasties.[Methods]The etiology,pathogenesis and treatment of heat epidemic were analyzed by summarizing the discussions of various doctors from different angles and at different levels,and the differentiation and treatment rules of several common summer infectious diseases were explored on the basis of the application of heat epidemic theory.[Results]The etiology and pathogenesis of heat epidemic can be classified as excessive main Qi,evil abundance and Yin deficiency,transpiration of summer heat and diffuse ptomaine.Its treatment can be roughly divided into interior-clearing and exterior-harmonizing,blood-cooling and orifice-unblocking.On the basis,the article explored the etiology,pathogenesis and treatment of summer infectious diseases,such as hand-foot-and-mouth disease,dengue and Corona Virus Disease 2019(COVID-19),which have certain similarities with heat epidemic.[Conclusion]The theory of heat epidemic,closely related to the syndrome and treatment rules of three types of summer infectious diseases,can be the tentative basis for clinical diagnosis and treatment of summer infectious diseases with traditional Chinese medicine.

Objective:To investigate the predictive value of the model based on soluble T cell immunogloblulin and mucin domain-containing protein 3 (sTIM3) for the progression of severe acute pancreatitis (SAP) in patients with acute pancreatitis (AP).Methods:A retrospective cohort study was conducted. The AP patients admitted to Changzhou First People's Hospital and Changzhou Second People's Hospital from June 1, 2020 to June 30, 2022 were enrolled. Mild AP (MAP) and moderately severe AP (MSAP) patients were classified as non-SAP group, and SAP patients were classified as SAP group according to the progression of AP patients during hospitalization. The basic data, blood biological indicators, serum sTIM3 level, bedside index for severity in acute pancreatitis (BISAP), acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, modified computed tomography severity index (MCTSI) score within 48 hours of admission, and prognosis indicators were collected. Multivariate Logistic regression analysis was conducted to analyze the risk factors of the progression of SAP in patients with AP during hospitalization. Based on the results of multivariate analysis and the best parameters selected based on the minimal Akaike information criterion (AIC), the SAP prediction model based on sTIM3 was constructed. The receive operator characteristic curve (ROC curve) was plotted to analyze the predictive efficacy of the model.Results:A total of 99 AP patients were enrolled, 80 patients in the non-SAP group and 19 patients in the SAP group. Compared with the non-SAP group, body mass index (BMI), drinking history ratio, heart rate (HR), respiration rate (RR), white blood cell count (WBC), red blood cell count (RBC), C-reactive protein (CRP), alanine aminotransferase (ALT), serum creatinine (SCr), procalcitonin (PCT), interleukin-6 (IL-6), sTIM3, BISAP score, APACHEⅡ score and MCTSI score were significantly increased, and pulse oxygen saturation (SpO 2), direct bilirubin (DBil) and IL-10 were significantly decreased. The length of intensive care unit (ICU) stay and total length of hospital stay of patients in the SAP group were significantly longer than those in the non-SAP group [length of ICU stay (days): 1.0 (0, 1.5) vs. 0 (0, 0), total length of hospital stay (days): 17.11±9.39 vs. 8.40±3.08, both P < 0.01]. Multivariate Logistic regression analysis showed that HR [odds ratio ( OR) = 1.059, 95% confidence interval (95% CI) was 1.010-1.110, P = 0.017], DBil ( OR = 0.981, 95% CI was 0.950-0.997, P = 0.043), and sTIM3 ( OR = 1.002, 95% CI was 1.001-1.003, P = 0.027) were independent risk factors for predicting the progression of SAP in patients with AP, and the SAP prediction model based on sTIM3 was constructed: Logit( P) = -14.602+0.187×BMI+0.057×HR+0.006×CRP-0.020×DBil+0.002×sTIM3. ROC curve analysis showed that among the aforementioned single factor quantitative indicators, IL-6 was the most effective in predicting the progression of AP patients to SAP during hospitalization, but the predictive performance of prediction model based on the sTIM3 was significantly better than IL-6 [area under the ROC curve (AUC) and 95% CI: 0.957 (0.913-1.000) vs. 0.902 (0.845-0.958), P < 0.05]. Conclusion:The model based on serum sTIM3 demonstrated good predictive value for the progression of SAP in patients with AP.

OBJECTIVE To observe the clinical efficacy and effect on serum thymic stromal lymphopoietin(TSLP)levels of pa-tients with advanced liver cancer of qi deficiency and toxic stasis type by Jiawei Yupingfeng San.METHODS Using random double blind method,120 patients with advanced liver cancer of qi deficiency and toxic stasis type were randomly divided into 3 groups:Jiawei Yupingfeng San group,Yupingfeng San group,and placebo group,each consisting of 40 cases.All patients in the 3 groups were given conventional treatment such as radiotherapy,chemotherapy,interventional or targeted therapy;Jiawei Yupingfeng San group was given Jiawei Yupingfeng San granules,Yupingfeng San group was given Yupingfeng San granules,and placebo group was given placebo.The course of treatment was 2 months.The changes of Karnofsky functional status score(KPS score),TCM syndrome score,tumor size and serum TSLP level in the 3 groups were observed before and after treatment,and the correlation between the changes of tumor size and TSLP was analyzed.RESULTS After treatment,the KPS scores of Yupingfeng San group and Jiawei Yupingfeng San group were sig-nificantly increased(P<0.05,P<0.01),TCM syndrome score were decreased(P<0.01),tumor growth(P<0.05,P<0.01)was de-layed,and serum TSLP levels(P<0.05,P<0.01)were decreased.Furthermore,there was a slight positive correlation between chan-ges in tumor size and changes in TSLP(P<0.05).In terms of improving tumor size,the curative effect of Jiawei Yupingfeng San group was better than that of Yupingfeng San group(P<0.05).During the treatment period,no obvious adverse reactions were observed in the 3 groups of patients.CONCLUSION Combined with conventional treatment,Jiawei Yupingfeng San can significantly delay tumor growth in patients with advanced liver cancer of qi deficiency and toxic stasis type and improve patients'TCM syndromes and their qual-ity of survival.The therapeutic mechanism is related to reducing the expression of serum TSLP and improving the immune status of pa-tients,thereby delaying the growth of tumors.

Objective To propose a frequency-domain pulse wave prediction model based on fusion attention mechanism,improving the low classification accuracy and poor generalization performance of hypertension time-domain pulse wave classification based on artificial intelligence technology.Methods Firstly,the time-domain pulse wave was transformed into frequency-domain Mel-scale frequency cepstral coefficient features to enhance its discriminability.Then,temporal convolutional network and Transformer structures were employed to extract the deep features of pulse waves,and self-attention mechanism and selective kernel attention were combined for decision fusion to extract relevant features.Floodings regularization method was used to indirectly control the training loss and prevent overfitting.A 5-fold cross-verification experiment was conducted based on 527 clinical pulse diagnosis data provided by Longhua Hospital,Shanghai University of Traditional Chinese Medicine and Shanghai Traditional Chinese Medicine-Integrated Hospital.Additionally,the extreme gradient boosting algorithm was employed to calculate the contribution rate ranking of frequency-domain pulse wave features,and the key factors affecting the classification accuracy of the model were analyzed to provide reference for the clinical auxiliary diagnosis of traditional Chinese medicine.Results The evaluation metrics accuracy,F1 score,precision,recall rate and area under curve value of the model proposed in this study were 0.939 6,0.924 9,0.940 9,0.929 5,and 0.993 4,respectively.The static characteristics of the pulse wave,the contribution rate of the first-order difference and the second-order difference coefficients were relatively balanced,indicating that the degree of hypertension risk was not only related to the static characteristics of the pulse wave,but also to the dynamic characteristics of the pulse wave.Conclusion The proposed model has higher classification accuracy and generalization performance compared to typical pulse wave classification models.

Objective:To summarize the clinical characteristics and efficacy of hemorrhage resulted from cortical venous infarction with seizure as the first symptom after craniotomy.Methods:Eleven patients with hemorrhage resulted from cortical venous infarction with seizure as the first symptom after craniotomy admitted to Neurosurgical Center, 988 th Hospital of PLA Joint Logistic Support Force from June 2011 to September 2019 were chosen in our study; primary diseases included meningioma in 7 patients, contusion and laceration of frontal lobe in 2, hypertensive cerebral hemorrhage in 1, and obsessive-compulsive disorder in 1 patient. Epilepsy was the first symptom after craniotomy. Clinical characteristics and efficacy of these patients were analyzed retrospectively; seizure control efficacy was evaluated by Engel grading. Results:First seizure occurred 4 h-7 d after craniotomy in these 11 patients, including 2 with focal sensory retention seizure, 3 with focal bilateral tonic-clonic seizure, and 6 with general tonic-clonic seizure. Follow-up cranial CT revealed hematoma in surgical region, adjacent cortex or subcortex in 9 patients (hematoma volume: 15-50 mL); emergency craniotomy (hematoma clearance) and decompressive craniectomy was performed in 5 patients; only emergency craniotomy (hematoma clearance) was performed in 3 patients; conservative treatment was performed in 1 patient. A small amount of diffuse bleeding with severe cerebral edema in the surgical region appeared in 2 patients, and the transient limb paralysis gradually recovered after 2 months of conservative treatment. Follow-up was performed for (4.5±1.7) years ([2.3-7.0] years). During the last follow-up, 4 patients were normal, 5 patients had mild to moderate hemiplegia, 1 had mild decreased vision in the right eye, and 1 had long-term coma. Epileptic control efficacy analysis indicated that 8 had Engel grading I and 3 grading II.Conclusion:Complete removal of hematoma and inactivated brain tissues can effectively control seizures and rebleeding in patients with hemorrhage resulted from cortical venous infarction.

Objective:To establish selection criteria of community mentors for postgraduates in general medicine.Methods:A subject index system of selection criteria of community tutors for general practice postgraduates was drafted and refined based on literature retrieving and in-depth interviews during January to December 2020. Twenty experts in general practice related fields were invited for two rounds of Delphi consultation. Analytic hierarchy process was used to calculate index weight coefficient and consistency test; and the developed selection criteria were evaluated.Results:Through the in-depth interviews with 11 general practice faculty and 11 general practice postgraduates, the following five first-level thematic frameworks were refined: (1) the professional qualities; (2) the basic qualities; (3) the clinical ability; (4) the teaching ability; (5) the scientific research ability. After two rounds of Delphi expert consultation, the selection criteria of community tutors for postgraduates in general practice were finally constructed, including 5 first-level indicators (professional quality, basic quality, medical practice ability, teaching and guidance ability, academic research ability) and 28 second-level indicators. The positive coefficients of experts were 85% and 100%; the expert authority coefficients were 0.825 and 0.860; and the expert opinion coordination coefficients were 0.486 and 0.515, respectively (all P<0.05). the weight coefficients of the five first-level indicators were 0.345, 0.210, 0.138, 0.210 and 0.097, respectively. Conclusion:The criteria and index system on the selection of community mentors for general practice postgraduates has been successfully developed in the study.