Background Swimming is becoming increasingly popular for its combined leisure and fitness benefits. However, polluted swimming pool water may pose various health risks. Previous studies have indicated that health indicators of swimming venues have lower qualification rates compared to other public places, highlighting the urgent need to optimize hygiene management measures. Objective To assess the overall hygiene status and identify the key factors influencing water quality in Shanghai’s swimming venues from 2010 to 2024, and to provide a scientific basis for optimizing water quality management. Methods Water quality was assessed in three stages (2010—2019, 2020—2022, and 2023—2024) based on the monitoring data of Shanghai’s swimming venues (2010—2024). The influences of monitoring stage, region, season, scale, day of week, and per capita attendance on water quality were analyzed using chi-square tests and logistic regression. Results From 2010 to 2024, water quality was monitored in 1478 swimming venues. The compliance rates of turbidity, pH, urea, oxidation-reduction potential, free residual chlorine, combined residual chlorine, total bacteria, coliforms, and heat-resistant coliforms in swimming pool water, and free residual chlorine in the foot disinfection basin water samples were 99.56%, 94.73%, 73.00%, 47.50%, 56.55%, 54.12%, 97.74%, 99.49%, 99.90%, and 69.19%, respectively. The overall water quality compliance rate was 85.28%. The main non-compliant indicators for swimming pool water were urea, ORP, free residual chlorine, and combined residual chlorine, along with free chlorine residual in the foot disinfection basin water samples. Using the period before the implementation of the new national standard as reference, the results of logistic regression revealed that the qualification rates of urea, ORP, and free residual chlorine in the swimming pool water samples, as well as free residual chlorine in foot disinfection basin water samples, were significantly higher during the two phases after launching the new standard (2020–2022 and 2023–2024), and the associated odds ratios (95%CI) were 1.28 (1.00, 1.64) and 1.48 (1.12, 1.95), 13.35 (7.63, 23.37) and 10.78 (7.00, 16.60), 2.54 (1.81, 3.58) and 3.18 (2.41, 4.20), and 3.14 (2.14, 4.60) and 2.83 (1.89, 4.23), respectively. Compared with the reference group, those sampled in urban pools and in non-summer seasons showed higher qualification rates of urea and ORP; in contrast, the pools with high visitor flow showed lower qualification rates of free residual chlorine in both water samples of swimming pools and foot disinfection basins (P<0.05). Conclusion The implementation of the new national standard has effectively enhanced the management standards and significantly improved overall water quality of swimming venues in Shanghai. However, the compliance rates of free residual chlorine and urea in swimming pool water still need further improvement. The compliance of some indicators is influenced by region, season, scale, and average passenger flow, particularly in small suburban swimming venues. Future efforts should focus on refining water quality management strategies and enhancing public health management.

BACKGROUND: Delayed platelet engraftment is a common complication after umbilical cord blood transplantation (UCBT), and there is no standard therapy. Avatrombopag (AVA) is a second-generation thrombopoietin (TPO) receptor agonist (TPO-RA) that has shown efficacy in immune thrombocytopenia (ITP). However, few reports have focused on its efficacy in patients diagnosed with thrombocytopenia after allogeneic hematopoietic stem cell transplantation (allo-HSCT). METHODS: We conducted a retrospective study at the First Affiliated Hospital of the University of Science and Technology of China to evaluate the efficacy of AVA as a first-line TPO-RA in 65 patients after UCBT; these patients were compared with 118 historical controls. Response rates, platelet counts, megakaryocyte counts in bone marrow, bleeding events, adverse events and survival rates were evaluated in this study. Platelet reconstitution differences were compared between different medication groups. Multivariable analysis was used to explore the independent beneficial factors for platelet implantation. RESULTS: Fifty-two patients were given AVA within 30 days post-UCBT, and the treatment was continued for more than 7 days to promote platelet engraftment (AVA group); the other 13 patients were given AVA for secondary failure of platelet recovery (SFPR group). The median time to platelet engraftment was shorter in the AVA group than in the historical control group (32.5 days vs . 38.0 days, Z  = 2.095, P  = 0.036). Among the 52 patients in the AVA group, 46 achieved an overall response (OR) (88.5%), and the cumulative incidence of OR was 91.9%. Patients treated with AVA only had a greater 60-day cumulative incidence of platelet engraftment than patients treated with recombinant human thrombopoietin (rhTPO) only or rhTPO combined with AVA (95.2% vs . 84.5% vs . 80.6%, P  <0.001). Patients suffering from SFPR had a slightly better cumulative incidence of OR (100%, P  = 0.104). Patients who initiated AVA treatment within 14 days post-UCBT had a better 60-day cumulative incidence of platelet engraftment than did those who received AVA after 14 days post-UCBT (96.6% vs . 73.9%, P  = 0.003). CONCLUSION Compared with those in the historical control group, our results indicate that AVA could effectively promote platelet engraftment and recovery after UCBT, especially when used in the early period (≤14 days post-UCBT).
Humans ; Female ; Male ; Thrombocytopenia/etiology* ; Adult ; Retrospective Studies ; Cord Blood Stem Cell Transplantation/adverse effects* ; Middle Aged ; Adolescent ; Young Adult ; Thiazoles/adverse effects* ; Platelet Count ; Receptors, Thrombopoietin/agonists* ; Child ; Thiophenes

OBJECTIVES: To investigate the correlation of PRELID1 with gastric cancer (GC) progression, prognosis, and epithelial-mesenchymal transition (EMT) and the underlying mechanisms. METHODS: We analyzed the data of 115 patients undergoing radical gastrectomy for GC in our hospital between February, 2018 and March, 2023 to explore the correlation of PRELID1 expression level in GC tissues with tumor progression and patient prognosis. In cultured GC cells, the effects of lentivirus-mediated overexpression or interference of PRELID1 were observed on cell migration, invasion and EMT. RESULTS: Immunohistochemical staining revealed significantly higher PRELID1 expression in GC tissues (P<0.001), whose expression level was positively correlated with CEA ≥5 ng/mL (P=0.007), CA199 ≥37 U/mL (P=0.007), G_3-4 stages (P=0.001), T_3-4 stages (P=0.001), and N_2-3 stages (P=0.020). Univariate and Cox multifactorial analysis showed that high PRELID1 level was an independent risk factor affecting 5-year survival of GC patients (P=0.001). In cultured GC cells, PRELID1 overexpression obviously promoted cell proliferation, migration, invasion, and the expressions of MMP2 and MMP9, and interference of PRELID1 produced the opposite changes. PRELID1 overexpression also increased the expressions of N-cadherin and vimentin and reduced the expression of E-cadherin. Mechanistic analyses showed that up-regulation of PRELID1 increased the expression of p-PI3K, p-AKT, and p-mTOR in GC cells, whereas its interference caused the opposite changes; the application of 740 Y-P, a PI3K/AKT pathway activator, significantly enhanced the migration, invasion, and EMT of GC cells with PRELID1 knockdown. CONCLUSIONS PRELID1 is highly expressed in GC and affects prognosis of the patients, and its high expression promotes migration, invasion and epithelial mesenchymal transition of GC cells possibly by activating the PI3K/AKT/mTOR pathway.
Humans ; Stomach Neoplasms/metabolism* ; Epithelial-Mesenchymal Transition ; Prognosis ; Cell Movement ; Cell Line, Tumor ; Male ; Female ; Middle Aged ; Signal Transduction ; Neoplasm Invasiveness ; Phosphatidylinositol 3-Kinases/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism*

Tongue squamous cell carcinoma (TSCC) is a prevalent malignancy that afflicts the head and neck area and presents a high incidence of metastasis and invasion. Accurate diagnosis and effective treatment are essential for enhancing the quality of life and the survival rates of TSCC patients. The current treatment modalities for TSCC frequently suffer from a lack of specificity and efficacy. Nanoparticles with diagnostic and photothermal therapeutic properties may offer a new approach for the targeted therapy of TSCC. However, inadequate accumulation of photosensitizers at the tumor site diminishes the efficacy of photothermal therapy (PTT). This study modified gold nanodots (AuNDs) with the TSCC-targeting peptide HN-1 to improve the selectivity and therapeutic effects of PTT. The Au-HN-1 nanosystem effectively targeted the TSCC cells and was rapidly delivered to the tumor tissues compared to the AuNDs. The enhanced accumulation of photosensitizing agents at tumor sites achieved significant PTT effects in a mouse model of TSCC. Moreover, owing to its stable long-term fluorescence and high X-ray attenuation coefficient, the Au-HN-1 nanosystem can be used for fluorescence and computed tomography imaging of TSCC, rendering it useful for early tumor detection and accurate delineation of surgical margins. In conclusion, Au-HN-1 represents a promising nanomedicine for imaging-based diagnosis and targeted PTT of TSCC.
Tongue Neoplasms/diagnostic imaging* ; Carcinoma, Squamous Cell/diagnostic imaging* ; Animals ; Gold/chemistry* ; Mice ; Photothermal Therapy/methods* ; Tomography, X-Ray Computed ; Photosensitizing Agents ; Metal Nanoparticles ; Humans ; Cell Line, Tumor

Cardiotoxicity is a critical issue in drug development that poses serious health risks, including potentially fatal arrhythmias. The human ether-à-go-go related gene (hERG) potassium channel, as one of the primary targets of cardiotoxicity, has garnered widespread attention. Traditional cardiotoxicity testing methods are expensive and time-consuming, making computational virtual screening a suitable alternative. In this study, we employed machine learning techniques utilizing molecular fingerprints and descriptors to predict the cardiotoxicity of compounds, with the aim of improving prediction accuracy and efficiency. We used four types of molecular fingerprints and descriptors combined with machine learning and deep learning algorithms, including Gaussian naive Bayes (NB), random forest (RF), support vector machine (SVM), K-nearest neighbors (KNN), eXtreme gradient boosting (XGBoost), and Transformer models, to build predictive models. Our models demonstrated advanced predictive performance. The best machine learning model, XGBoost Morgan, achieved an accuracy (ACC) value of 0.84, and the deep learning model, Transformer_Morgan, achieved the best ACC value of 0.85, showing a high ability to distinguish between toxic and non-toxic compounds. On an external independent validation set, it achieved the best area under the curve (AUC) value of 0.93, surpassing ADMETlab3.0, Cardpred, and CardioDPi. In addition, we explored the integration of molecular descriptors and fingerprints to enhance model performance and found that ensemble methods, such as voting and stacking, provided slight improvements in model stability. Furthermore, the SHapley Additive exPlanations (SHAP) explanations revealed the relationship between benzene rings, fluorine-containing groups, NH groups, oxygen in ether groups, and cardiotoxicity, highlighting the importance of these features. This study not only improved the predictive accuracy of cardiotoxicity models but also promoted a more reliable and scientifically interpretable method for drug safety assessment. Using computational methods, this study facilitates a more efficient drug development process, reduces costs, and improves the safety of new drug candidates, ultimately benefiting medical and public health.

Objective:To explore the distribution pattern of TCM syndromes in patients with pulmonary tuberculosis combined with coronary heart disease in Kunming area.Methods:A survey was conducted by research of questionnaires to the general information and TCM four diagnostic information of pulmonary tuberculosis patients (116 cases) with coronary heart disease admitted to our hospital from April 2019 to December 2020, and principal component analysis and clustering analysis were conducted. Frequency analysis and severity analysis methods were used for data processing.Results:The TCM symptoms of pulmonary tuberculosis patients with coronary heart disease were mainly cough [89.66%(104/116)], expectoration [73.28% (85/116)], dry mouth [70.69% (82/116)], chest tightness [64.66% (75/116)], fatigue [56.03%(65/116)], hot flashes [52.59% (61/116)], shortness of breath [50.00% (58/116)]; tongue color was more common with light red [43.10% (50/116)] and red [47.41% (55/116)]; the tongue shape was more common with cracked tongue [37.07% (43/116)], punctured tongue [27.59% (32/116)] and old tongue [23.28%(27/116)]; tongue coating with little or no coating [48.28%(56/116)], yellow and greasy coating [21.55% (25/116)] was more common; the pulse was usually thin (number) [54.31% (63/116)] and slippery (number) [25.86% (30/116)]. The principal component analysis method used a load coefficient >0.40 as the threshold to screen out the four diagnostic information of 10 principal components; the clustering analysis results were divided into three categories of TCM types: deficiency syndrome, excess syndrome, and mixed deficiency and excess syndrome. There were significant differences in TCM syndrome types among patients of different genders, ages, disease courses, and educational levels ( P<0.05). Deficiency syndrome was more common in male patients [41.18% (21/51)], and mixed syndrome of deficiency and excess was more common in female patients [63.08% (41/65)]; 43-59 years old patients were more likely to have excess syndrome [36.36%(24/66)], and ≥60 years old patients were more likely to have mixed syndrome [70.00% (35/50)]; patients with a course of disease <3 months had more excess syndrome [41.30% (19/46)], patients with a course of 3-12 months had more deficiency syndrome [57.14% (20/35)], and patients with a course of more than 1 year had more mixed syndrome of deficiency and excess [74.29% (26/35)]. male patients [54.17%(26/48)] were more serious in excess syndrome, and female patients [53.33% (24/45)]; were more serious in deficiency syndrome; deficiency syndrome [43-59 years old was 54.17% (42/84), ≥60 years old was 54.17% (12/24)] more serious in patients of different age groups; patients with a course of disease <3 months [56.86% (29/51)] were more serious in excess syndrome, and patients with a course of disease ≥3 months were more serious in mixed syndromes [3~12 months 52.38%(22/42), >1 year 53.33% (24/45)]. Conclusion:The pathogenesis of TCM in patients with pulmonary tuberculosis complicated with coronary heart disease in Kunming is deficiency in root and excess in superficiality; the syndrome is based on yin deficiency and qi deficiency, with blood stasis, phlegm heat, phlegm stasis and phlegm turbidity as the symptoms.

Wumei Pills is mostly used to treat ulcerative colitis, irritable bowel syndrome, intestinal polyps, chronic atrophic gastritis, gastroesophageal reflux disease, gastric cancer and other digestive system diseases with its modified formula or combination with Western medicine. Wumei Pills can play a role in treating digestive system diseases through antioxidant stress, Inhibiting inflammatory response, regulating intestinal flora, anti-tumor, promoting intestinal mucosal repair, etc. Most of the related research on the mechanism of Wumei Pills in the treatment of digestive system diseases were studied in a single pathway. The relationship between other mechanisms and pathways is worthy of further exploration. In addition, the current research mostly focuses on the lower digestive system diseases with diarrhea as the main manifestation, and there is still room for research and reporting in the treatment of upper digestive system diseases.

Literature related to children's adenoid hypertrophy was retrieved to form an expert questionnaire.According to the group standard writing rules of the China Association of Chinese Medicine,the peer consultation,quality evaluation and suitability eval-uation were completed through three rounds of Delphi expert questionnaire surveys and expert discussion meetings,and the Clinical Practice Guidelines for TCM in Children with Adenoidal Hypertrophy was finally formed.The guidelines have been formulated to clarify the scope of application of the guidelines,normative reference documents,terms and definitions,diagnosis,syndrome differentiation,treatment,prevention and care,and to provide an important reference for the clinical practice and diagnosis and treatment norms of tra-ditional Chinese medicine for children with adenoid hypertrophy.

Objective:To analyze the implementation effects of a medical laboratory talent training program based on local colleges and universities' applied talent-oriented cultivation principal as well as students' interests and industry needs.Methods:Based on the design principals of clarifying the professional orientation, meeting the national standard, reconstructing the curriculum system, introducing the spirit of innovation and entrepreneurship, and multi-dimensional collaborative education, as well as the reverse design path of the outcome-based education concept, we have built a medical laboratory applied talent training system focusing on humanity education, solid foundation, broad employment, and good competency and in accordance with the "three complete education" strategy, along with measures including creating an applied teaching atmosphere, developing an applied curriculum teaching model, providing vocational guidance and improving vocational identity, and promoting education via evaluation. The system was applied to the training and practice of students of grades 2021 and 2022 majoring in medical laboratory technology. SPSS20.0 software was used for statistical analysis.Results:With the concept of application-oriented talent training and the "four-in-one" practical teaching model, students' skills were improved, and the training path was broadened. Compared with those trained with the original program (grades 2019-2020), the graduates trained with the new program (grades 2021-2022) showed a significantly decreased employment rate in medical laboratory jobs in medical institutions from 71.25% to 42.86% ( χ2=12.36, P<0.001), a significantly increased employment rate in in-vitro diagnostics industry from 3.75% to 17.14% ( χ2=7.44, P<0.05), and a significantly increased rate of applying for postgraduate education from 17.05% to 32.86% ( χ2=4.74, P<0.05). Conclusions:The medical laboratory talent training program based on the talent training principal of local colleges and universities combined with students' interests and industry needs can help improve the quality of talent training and broaden the employment path of graduates.

Purpose/Significance To use multimodal data analysis method to mine medical Q&A data in online healthcare platforms and predict whether patients will adopt online doctors'responses.Method/Process First,numerical,categorical,textual,and visual data related to doctor-patient Q&A are obtained from online healthcare platforms,and three datasets of acute disease,chronic disease and mixed disease are constructed according to disease types.Then,normalization,one-hot encoding,Med-BERT,and convolutional neural network are used respectively to process numerical,categorical,textual,and visual data.Finally,a gradient boosting decision tree is used to predict whether patients will adopt online doctors'responses.Result/Conclusion Doctors'profile pictures can improve the prediction effect of online doctor response adoption,and multimodal data mining can effectively predict the response adoption.