Objective To assess the clinical efficacy of sodium hyaluronate （0.3%） eye drops combined with herbal self-heating steam eye mask in the treatment of dry eye disease. Methods A prospective randomized controlled clinical trial was performed on 60 patients diagnosed with dry eye at the ophthalmic clinic of a Grade A, Class Ⅲ hospital in Shanghai from June 2023 to September 2024. Specifically, patients were randomly divided into control group and study group. Patients in the control group were treated with sodium hyaluronate （0.3%） eye drops for six weeks; while in the study group, patients received the eye drops combined with the herbal self-heating steam eye mask mainly containing powders of Flos Buddlejae. Subsequently, comparisons and analysis were performed before and after treatment between the two groups in the clinical symptom questionnaire score traditional Chinese medicine （TCM syndrome score），the Chinese dry eye questionnaire score and determination of tear film fluorscein breakup time （FBUT）, and curative effect. Results The quality control standard of the herbal powder in the self-heating steam eye mask was established through TLC and HPLC, and good heating behavior of the herbal self-heating steam eye mask was ascertained heating temperature （43±5）℃; heating duration （≥20 min）, meeting requirements of the product quality control. After treatment for 6 weeks, FBUT was increased, while TCM syndrome score and the Chinese dry eye questionnaire score were both decreased in the study group （P<0.001）. Besides, compared with the control group, TCM syndrome score and the Chinese dry eye questionnaire score were much lower, while the FBUT were higher in the study group （P<0.001）. Moreover, the overall response rate in the study group （81.7%） was much better than that in the control group （25.9%）. Conclusion The combination of sodium hyaluronate （0.3%） eye drops with herbal self-heating steam eye mask could be applied to the clinical treatment of dry eye disease due to its good clinical effects on relieving dry eye symptoms.

ObjectiveTo describe the prevalence and dynamic pain characteristics of dysmenorrhea among female medical students through a menstrual diary-based observational study. MethodsFrom April to June 2021, female students were recruited from a medical college in Shanghai to complete menstrual diaries and record dysmenorrhea-related characteristics for two menstrual cycles. Dysmenorrhea severity was assessed using the visual analogue scale (VAS) (no pain: 0; mild: 1‒3; moderate: 4‒6; severe: 7‒10). A total of 323 diaries were collected, of which 303 were 93.81% valid (valid response rate: 93.81%), covering 596 complete menstrual cycles. Among them, 293 participants completed diaries for two cycles and were included in the analysis of persistent dysmenorrhea. Period, point, and persistent prevalence of dysmenorrhea were calculated using the number of participants as the denominator. Paired comparisons were performed using Cochran’s Q test and Bonferroni-adjusted McNemar tests. Using menstrual cycles with dysmenorrhea as the unit of analysis, the distributions of pain onset, peak timing, and pain duration across different severities were compared using the χ² tests or Fisher’s precision probability tests. ResultsAmong 303 female college students, 269 experienced dysmenorrhea during the first recorded cycle, and 288 had dysmenorrhea in any cycle. Among 596 complete menstrual cycles recorded, 527 were associated with dysmenorrhea (88.42%), and among 293 students who completed 2 complete recorded cycles, 239 had persistent dysmenorrhea. The period, point, and persistent prevalence of dysmenorrhea among female college students were 95.05% (288/303), 88.78% (269/303), and 81.57% (239/293), respectively (Q=61.61, P<0.001). The prevalence of persistently severe dysmenorrhea was 5.12% (15/293). Among the 527 dysmenorrheic cycles, there were statistically significant differences in the distribution of pain onset time (P=0.003) and pain duration (P<0.001) among different degrees of dysmenorrhea; mild dysmenorrhea mostly started on the first day of menstruation (52.83%), and moderate dysmenorrhea mostly started before menstruation (50.19%). Pain duration increased with severity; the proportions of cycles with pain lasting ≥4 days were 13.20%, 43.03%, and 51.56% for mild, moderate, and severe dysmenorrhea cycles, respectively. For all severity groups, mean pain scores peaked on the first day of menstruation and then decreased day by day to a stable level. ConclusionDysmenorrhea is highly prevalent among female medical students, and differences exist across pain severity levels in onset time, duration, and dynamic changes in pain. Identification and health guidance for those with persistently moderate-to-severe dysmenorrhea should be strengthened, and medical evaluation should be conducted when necessary.

Objective: Therapeutic plasma exchange (TPE) rapidly removes harmful substances from the blood by physical means, while replacing with exogenous fluids such as fresh frozen plasma and/or albumin, thus alleviating clinical symptoms and mitigating organ injury. It is widely used in the treatment of renal, hematological, digestive, and immune-mediated diseases. This review summarizes the application of plasma exchange in hematological diseases based on the latest research evidence, focusing on its current clinical status in autoimmune hemolytic anemia, thrombotic microangiopathy, hyperviscosity syndrome secondary to hypergammaglobulinemia, and cryoglobulinemia. Based on recent evidence, we analyze its efficacy, safety management, and optimized therapeutic strategies. We also discuss the limitations and future directions of TPE in hematological diseases, aiming to provide a reference for clinical practice and research.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

ObjectiveTo explore effect of Xianlian Jiedu prescription on the recurrence of colorectal cancer （CRC） and investigate the related mechanisms. MethodsA postoperative recurrence model was established in 25 Balb/c mice by injecting CT26 cells subcutaneously into the armpit， followed by surgical removal of 99% of the subcutaneous tumor. The mice were randomly divided into model group， low-dose Xianlian Jiedu prescription （XLJDP-L） group （6.45 g·kg^-1·d^-1）， medium-dose Xianlian Jiedu prescription （XLJDP-M） group （12.9 g·kg^-1·d^-1）， high-dose Xianlian Jiedu prescription （XLJDP-H） group （25.8 g·kg^-1·d^-1）， and 5-fluorouracil （5-FU） group （1×10^-3 g·kg^-1·d^-1）. The mice were euthanized after 14 days of continuous intervention， and recurrent tumor tissue was harvested. Hematoxylin and eosin （HE） staining was used to observe pathological and morphological changes in the recurrent tumor tissue. Immunohistochemistry （IHC） was employed to assess the expression of proliferating cell nuclear antigen （Ki67）， vascular endothelial growth factor （VEGF）， and platelet-endothelial cell adhesion molecule （CD31） in recurrent tumor tissue. The Western blot was used to detect the protein expression levels of angiopoietin-2 （ANG-2）， VEGF， phosphorylated-protein kinase B （p-Akt）， protein kinase B （Akt）， phosphorylated-phosphatidylinositol 3-kinase （p-PI3K）， and phosphatidylinositol 3-kinase （PI3K） in recurrent tumor tissue. ResultsBefore treatment， there were no statistical differences in tumor volume， tumor weight， and body mass among the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group compared to the model group， indicating model stability. After treatment， compared with those in the model group， the tumor volume and tumor weight in the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly reduced （P<0.01）， showing dose dependency. Meanwhile， there were no significant differences in body weight among the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group compared to the model group. HE staining showed that compared with that in the model group， tumor tissue in the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group had loosely arranged cells， increased intercellular spaces， small and shriveled nuclei， light staining， fewer mitotic figures and atypical nuclei， and increased necrotic areas. IHC showed that compared with those of the model group， the positive rates of Ki67， VEGF， and CD31 in the recurrent tumor tissue of the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly reduced （P<0.01） in a dose-dependent manner. Western blot results showed that compared with those of the model group， the protein expression levels of ANG-2 and VEGF in the recurrent tumor tissue of the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly downregulated （P<0.05， P<0.01）， and the p-Akt/Akt and p-PI3K/PI3K ratios were significantly decreased in a dose-dependent manner （P<0.05， P<0.01）. ConclusionXianlian Jiedu prescription significantly inhibits the recurrence of CRC in mice after subcutaneous tumor surgery. The mechanism may involve regulating the PI3K/Akt pathway and downregulating key angiogenic proteins such as ANG-2， VEGF， and CD31.

Objective:To evaluate the feasibility and clinical efficacy of transoral endoscopic-assisted submandibular gland resection with low-temperature plasma knife technology, aiming to establish a scarless surgical approach to meet the patients aesthetic demands. Methods:A retrospective analysis was conducted on 5 consecutive patients with benign submandibular gland pathologies treated by a single surgical team between January 2021 and December 2023. All procedures employed a transoral mucosal incision in the floor of mouth, with 0-degree high-definition endoscope assistance and low-temperature plasma knife for precise dissection and hemostasis. Close postoperative follow-up was performed. A systematic literature review compared surgical approaches regarding critical anatomical landmarks, complication profiles, and scar formation. The clinical efficacy of this technique was summarized and analyzed. Results:Successful transoral endoscopic plasma knife resections were performed for benign submandibular conditions（including neoplasms, chronic sialadenitis, and sialolithiasis）. All operations were completed without conversion to open approach. No permanent lingual nerve or marginal mandibular nerve injuries occurred. Transient lingual hypoesthesia recovered within 2 weeks. During 6-12 months follow-up, there was no recurrence and absence of visible cervical scarring, with 100% patient satisfaction regarding cosmesis. Conclusion:Transoral endoscopic plasma knife resection of the submandibular gland demonstrates procedural safety and technical feasibility. This approach offers significant advantages in minimally invasive access, superior aesthetic outcomes, and accelerated recovery, representing a viable novel alternative for benign submandibular gland disease management.
Humans ; Submandibular Gland/surgery* ; Retrospective Studies ; Endoscopy/methods* ; Female ; Middle Aged ; Male ; Treatment Outcome ; Adult

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

Objective To explore a new training strategy suitable for clinical education and talent cultivation in gy-necologic oncology.Methods Ninety undergraduates from each of the two grades of clinical medicine curriculum at Kunming Medical University were randomly divided into control group(n=40)and research group(n=50).The"4+3"teaching model of plan-do-check-action(PDCA)cycle integrated with TBL were adopted,whereas the control group was educated with classic methods.Two groups of students were evaluated with quantitative assessments and anonymous questionnaire surveys.Results Multidimensional questionnaire surveys indicated that the teaching model of the test group provided a better learning experience than classic teaching methods as proved by significant improvements in educational reform(58％),learning interest(64％),skill development(72％),capacity building of learning(66％)and satisfaction with the new model of training(70％)(P＜0.05,＜0.01).Further-more,the PDCA cycle can address the short-comings of the previous teaching iteration.In written exams,the class-room quiz scores,regular grades,and comprehensive scores of the research group were(18.38±5.81),(29.09±0.29),and(82.38±4.03)points respectively all higher than those of the control group(P＜0.01).Conclusions The PDCA cycle and the TBL-embedded teaching model promote the standardization of gynecologic oncology teach-ing procedures,thereby enhancing teaching quality and achieving precise alignment between student satisfaction and assessment performance.

Objective To rvaluate the therapeutic efficacy of balloon-dilatation covered stents in the treatment of renal artery stenosis(RAS).Methods The clinical data of 30 patients with RAS,who received intravascular ultrasonography(IVUS)-guided LifeStream balloon-dilatation covered stent implantation at the Affiliated Central Hospital of Dalian University of Technology(Dalian Municipal Central Hospital)of China from August 2022 to December 2023,were retrospectively analyzed.The various parameters of the lumen and the stent were measured,and the performance of the stent was evaluated.Results The minimum original blood vessel diameter below the base of the stenotic segment plaque was 5.40(5.17,5.80)mm and the maximum blood vessel diameter was 6.20(5.80,6.93)mm,which became 6.00(5.80,6.00)mm and 7.90(6.00,8.00)mm respectively after stent release,the differences were statistically significant(both P＜0.05).Before stent release the luminal eccentricity index was(14.72±9.37)％,which was(1.54±9.16)％after stent release,the difference was statistically significant P＜0.05).The instant stent symmetry after stent release was(82.69±14.61)％,and the stent expansion factor was(99.81±10.70)％.Ideal narrow coverage rate was obtained.During operation,poor stent adhesion occurred in 2 patients and renal artery rupture with bleeding occurred in one patient,which were solved after immediate re-expansion treatment.Spearman's correlation analysis showed that stent symmetry,stent expansion factor,and stent eccentricity index did not linearly correlate with the lumen cross-sectional area stenosis rate and the plaque eccentricity index(all P＞0.05).Conclusion For the treatment of RAS,the LifeStream balloon-dilatation covered stent is clinically safe,feasible,and effective with satisfactory immediate clinical outcomes.

Objective To explore the effectiveness of applying 3N linked care model among care-givers of leukemia patients.Methods A total of 96 caregivers of acute leukemia patients were select-ed and randomly divided into observation groupand control group using a random lottery method,with 48 caregivers in each group.The observation group received the 3N linked care model,while the con-trol group received routine care.Psychological resilience,caregiving burden,and nursing outcomes were compared between the two groups.Results After intervention,the total score on the Connor Da-vidson Resilience Scale(CD-RISC)in the observation group was higher than that in the control group[(105.23±6.24)versus(91.20±5.06),P＜0.05].After intervention,the proportion of caregiv-ers with no burden in the observation group was significantly higher than that in the control group,while the proportions of mild,moderate,and severe burdens were significantly lower(P＜0.05).The total nursing outcome score in the observation group was higher than that in the control group[(28.54±2.36)versus(21.05±1.42),P＜0.05].Conclusion The application of 3N linked care model a-mong caregivers of leukemia patients helps improve caregivers'levels of psychological resilience,re-duce their caregiving burden,and enhance nursing outcomes.