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

Objective:To investigate the value of midtreatment 18F-FDG PET/CT metabolic parameters for predicting the pathological response in patients with locally advanced gastric cancer (LAGC) after neoadjuvant immunochemotherapy (NICT). Methods:Twenty-five LAGC patients (19 males, 6 females, age: (64.8±8.6) years) who underwent 18F-FDG PET/CT after NICT in Henan Cancer Hospital from August 2019 to June 2024 were retrospectively analyzed. The lesion′s ROI was delineated, then the SUV max and metabolic tumor volume (MTV) were measured, and the SUV max was divided by SUV mean of the descending aorta to obtain the tumor-to-background ratio (TBR). Patients underwent surgery after PET/CT imaging. Based on the tumor regression grade (TRG) system by the American Joint Committee on Cancer (AJCC) criteria on surgical specimen, patients were divided into responders (TRG0+ 1) and non-responders (TRG2+ 3). Independent-sample t test, Mann-Whitney U test, one-way analysis of variance, and Kruskal-Wallis rank-sum test were used to compare the differences of data. The predictive efficacy of PET/CT metabolic parameters was assessed by the ROC curve analysis. Results:Postsurgical pathology showed that 9 patients were responders and 16 were non-responders. The SUV max (3.10±1.95) and TBR (2.44±1.54) of primary lesions in responders were lower than those in non-responders (7.40±4.68, 5.85±3.74; t values: -2.61, -2.59, both P<0.05), while the MTV of primary tumors and short diameter and metabolic parameters of positive lymph nodes were not significantly different between those 2 groups ( t=-1.50, Z values: -1.09 to -0.75, all P>0.05). No significant relation was found between PET/CT parameters and pathological differentiation or Lauren classification, or other pathological features ( t values: -1.55 to 1.38, Z values: -1.84 to 0, F values: 0.12-2.43, H values: 0.13-0.98, all P>0.05). ROC curve showed that the cut-off value of SUV max for predicting postoperative TRG was 5.40, and the AUC reached 0.77 (95% CI: 0.56-0.91), with the sensitivity and specificity of 9/16, 9/9, respectively. With TBR=3.54 as the cut-off value, its AUC reached 0.77 (95% CI: 0.56-0.91), and the sensitivity and specificity were 11/16, 8/9, respectively. The sensitivity and specificity of PET/CT for predicting lymph node positivity of patients were 8/12 and 13/13, respectively. Conclusion:Interim 18F-FDG PET/CT metabolic parameters can accurately predict the pathological response of LAGC patients after NICT.

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 investigate the reciprocal relationships between trajectories of depressive symptoms(DS)and cognitive function(CF)and to provide a basis for formulating comprehensive management for depression and cognitive impairment among older adults.Methods Group－based dual trajectory modelling was performed to identify dual trajectories of DS and CF usinglongitudinal data from the Chinese Health and Retirement Longitudinal Study.Results 3076 older adults were included in the analysis.Four trajectories of DS(DS1~DS4)were determined:constantly low(30.7%),mild increasing lightly(46.7%),moderately decreasing(19.0%),and constantly high(3.6%);four trajectories of CF(CF1~CF4):persistently high(8.3%),suboptimal slowly decline(51.8%),middle rapidly decline(33.8%)and low rapidly decline(6.1%).Compared with DS 1,the elderly in DS 2~4 were more likely to experience CF 3 and CF 4.Using CF 1 as a reference,the elderly in CF 2~4 were more likely to follow DS 2~4.Conclusion GBMDT captures the degree of overlap and dynamic developmental associations between developmental trajectories for DS and CF among Chinese elderly.

Objective To investigate the reciprocal relationships between trajectories of depressive symptoms(DS)and cognitive function(CF)and to provide a basis for formulating comprehensive management for depression and cognitive impairment among older adults.Methods Group－based dual trajectory modelling was performed to identify dual trajectories of DS and CF usinglongitudinal data from the Chinese Health and Retirement Longitudinal Study.Results 3076 older adults were included in the analysis.Four trajectories of DS(DS1~DS4)were determined:constantly low(30.7%),mild increasing lightly(46.7%),moderately decreasing(19.0%),and constantly high(3.6%);four trajectories of CF(CF1~CF4):persistently high(8.3%),suboptimal slowly decline(51.8%),middle rapidly decline(33.8%)and low rapidly decline(6.1%).Compared with DS 1,the elderly in DS 2~4 were more likely to experience CF 3 and CF 4.Using CF 1 as a reference,the elderly in CF 2~4 were more likely to follow DS 2~4.Conclusion GBMDT captures the degree of overlap and dynamic developmental associations between developmental trajectories for DS and CF among Chinese elderly.

Objective:To explore the potential profile characteristics and influencing factors of rehabilitation motivation in elderly patients with first stroke, so as to provide reference for promoting precise rehabilitation mode.Methods:A convenience sampling method was employed to conduct a cross-sectional survey of elderly patients with first stroke admitted to the Huanhu Hospital Affiliated to Tianjin Medical University from October 2024 to March 2025. The survey utilized a general information questionnaire, the Motivation in Stroke Patients for Rehabilitation Scale, the Perceived Social Support Scale (PSSS), the Exercise Adherence Questionnaire (EAQ), and the Stroke Stigma Scale (SSS). Potential categories of rehabilitation motivation among elderly patients with first stroke were identified using latent profile analysis, and the influencing factors of these potential categories were explored using the ordered multinomial Logistic regression.Results:A total of 290 survey questionnaires were distributed, and 281 valid questionnaires were collected, with an effective response rate of 96.9%(281/290). Among 281 elderly patients with first stroke, there were 152 males and 129 females, with an age of (68.68 ± 6.89) years. The score of the Motivation in Stroke Patients for Rehabilitation Scale was 56.00 (36.00, 68.00) points. Rehabilitation motivation among elderly patients with first stroke could be categorized into three groups: low motivation-lack of family support and unclear goals group (44.1%, 124/281), moderate motivation-social reintegration driven but insufficient behavior group (41.3%, 116/281), and high motivation autonomous planning adaptation and value internalization group (14.6%, 41/281). The ordered multinomial Logistic regression analysis showed that compared to patients aged ≥80 years, patients aged 60-69 years were less likely to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=0.231, P<0.05). Compared to patients with a per capita monthly income of ≥5 001 yuan, patients with a per capita monthly income of 3 001-5 000 yuan were more likely to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=2.340, P<0.05). Compared to heavily dependent patients, patients who were completely independent ( OR=0.160, P<0.05), mildly dependent ( OR=0.155, P<0.01), and moderately dependent ( OR=0.211, P<0.05) were less likely to belong to the high motivation autonomous planning adaptation and value internalization group. The higher the EAQ score, the more likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=1.139, P<0.01). The higher the PSSS score, the more likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=1.108, P<0.01). The higher the SSS score, the less likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=0.787, P<0.01). Conclusions:Healthcare professionals can develop targeted intervention strategies based on the characteristics and influencing factors of patients' different rehabilitation motivations, thereby enhancing their rehabilitation motivation and promoting patient recovery.

Objective:To explore the potential categories of internal ability of elderly patients with ischemic stroke, identify the influencing factors and propose corresponding nursing interventions.Methods:This was a cross-sectional study. From January 2025 to May 2025, the elderly patients with ischemic stroke in Tianjin Huanhu Hospital were selected by convenient sampling method. The general information questionnaire, the Internal Capacity Assessment Scale for the Older People, the Health Literacy Scale for stroke patients and the Perceived Social Support Scale were used to investigate. To determine latent categories of patients' intrinsic capacity, potential profile analysis was employed. Subsequently, multivariable Logistic regression examined factors associated with these categories.Results:A total of 260 survey questionnaires were distributed, and 256 valid questionnaires were finally collected, with an effective response rate of 98.46% (256/260). Among of them, there were 166 males and 90 females, aged 68.00 (63.00, 74.00) years.The intrinsic ability of elderly patients with ischemic stroke could be divided into three potential categories: low sensation-low exercise group (27.0%, 69/256), relatively stable intrinsic ability group (37.5%, 96/256) and low cognition-low psychology group (35.5%, 91/256). Multivariable Logistic regression showed that advanced age (compared to the low sensation-low exercise group, OR=0.902; compared to the relatively stable intrinsic ability group, OR=0.813), smoking (compared to the low sensation-low exercise group, OR=0.459; compared to the relatively stable intrinsic ability group, OR=0.442), the lower the Barthel index (compared to the low sensation-low exercise group, ≤40 points with OR=0.157; 41-60 points with OR=0.285) were more likely to enter the low cognition-low psychology group (all P<0.05); other chronic disease types ≤1 (compared to the low cognition-low psychology group, OR=2.630), higher health literacy scores (compared to the low cognition-low psychology group, OR=1.033) were more likely to enter the relatively stable intrinsic ability group (both P<0.05); and stroke frequency was the first occurrence (compared to the low cognition-low psychology group, OR=2.725) was more likely to enter the low sensation-low exercise group ( P<0.05). Conclusions:In older adults with ischemic stroke, the characteristics of intrinsic ability are clearly categorized. To enhance patient outcomes, healthcare professionals are advised to tailor nursing interventions based on the unique features and specific influencing factors associated with each potential category.