Objective To investigate the role of RNA-binding motif protein X-linked(RBMX)in regulating the proliferation,migration,invasion and glycolysis in human bladder cancer cells.Methods A lentivirus vectors system and RNA interference technique were used to construct bladder cancer 1376 and UC-3 cell models with RBMX overexpression and knockdown,respectively,and successful cell modeling was verified using RT-qPCR and Western blotting.Proliferation and colony forming ability of the cells were evaluated using EdU assay and colony-forming assay,and cell migration and invasion abilities were determined using Transwell experiment.The expressions of glycolysis-related proteins M1 pyruvate kinase(PKM1)and M2 pyruvate kinase(PKM2)were detected using Western blotting.The effects of RBMX overexpression and knockdown on glycolysis in the bladder cancer cells were assessed using glucose and lactic acid detection kits.Results RT-qPCR and Western blotting confirmed successful construction of 1376 and UC-3 cell models with RBMX overexpression and knockdown.RBMX overexpression significantly inhibited the proliferation,clone formation,migration and invasion of bladder cancer cells,while RBMX knockdown produced the opposite effects.Western blotting results showed that RBMX overexpression increased the expression of PKM1 and decreased the expression of PKM2,while RBMX knockdown produced the opposite effects.Glucose consumption and lactate production levels were significantly lowered in the cells with RBMX overexpression(P<0.05)but increased significantly following RBMX knockdown(P<0.05).Conclusion RBMX overexpression inhibits bladder cancer progression and lowers glycolysis level in bladder cancer cells by downregulating PKM2 expression,suggesting the potential of RBMX as a molecular target for diagnosis and treatment of bladder cancer.

Objective To investigate the role of RNA-binding motif protein X-linked(RBMX)in regulating the proliferation,migration,invasion and glycolysis in human bladder cancer cells.Methods A lentivirus vectors system and RNA interference technique were used to construct bladder cancer 1376 and UC-3 cell models with RBMX overexpression and knockdown,respectively,and successful cell modeling was verified using RT-qPCR and Western blotting.Proliferation and colony forming ability of the cells were evaluated using EdU assay and colony-forming assay,and cell migration and invasion abilities were determined using Transwell experiment.The expressions of glycolysis-related proteins M1 pyruvate kinase(PKM1)and M2 pyruvate kinase(PKM2)were detected using Western blotting.The effects of RBMX overexpression and knockdown on glycolysis in the bladder cancer cells were assessed using glucose and lactic acid detection kits.Results RT-qPCR and Western blotting confirmed successful construction of 1376 and UC-3 cell models with RBMX overexpression and knockdown.RBMX overexpression significantly inhibited the proliferation,clone formation,migration and invasion of bladder cancer cells,while RBMX knockdown produced the opposite effects.Western blotting results showed that RBMX overexpression increased the expression of PKM1 and decreased the expression of PKM2,while RBMX knockdown produced the opposite effects.Glucose consumption and lactate production levels were significantly lowered in the cells with RBMX overexpression(P<0.05)but increased significantly following RBMX knockdown(P<0.05).Conclusion RBMX overexpression inhibits bladder cancer progression and lowers glycolysis level in bladder cancer cells by downregulating PKM2 expression,suggesting the potential of RBMX as a molecular target for diagnosis and treatment of bladder cancer.

Objective To study the infection of multidrug-resistant organism(MDRO)in elderly pa-tients with catheter-associated urinary tract infection(CAUTI)and analyze the infection factors.Methods The medi-cal records of 175 elderly patients with CAUTI admitted to Jiangsu Province Hospital from January 2021 to July 2022 were selected,the distribution of MDRO infection in elderly patients with CAUTI was analyzed,and the influencing factors of MDRO infection were analyzed.The predictive value of independent risk factors for rele-vant nosocomial infections was analyzed by receiver operating characteristics(ROC)curves.Results Among the 175 elderly patients with CAUTI,87 cases(49.71％)developed MDRO infection and were included in the MDRO infection group),and 88 cases(50.29％)had no MDRO infection and were included in the non-MDRO infection group.A total of 432 MDRO pathogens were detected in the MDRO infection group,inclu-ding 415 strains of Gram-negative bacteria,accounting for 96.06％,186 strains of carbapenem-resistant Acine-tobacter baumannii(43.06％),147 strains of carbapenem-resistant Klebsiella pneumoniae(34.03％),79 strains of carbapenem-resistant Pseudomonas aeruginosa(18.29％)and 3 strains of carbapenem-resistant Escherichia coli(0.69％).There were 17 strains of Gram-positive bacteria(3.94％),all of which were methi-cillin-resistant Staphylococcus aureus.Multivariate analysis showed that the use of carbapenems,tigecycline,polymyxin,and days of central venous intubation were considered as independent risk factors.The area under the curve of MDRO infection was 0.883.Conclusion For elderly patients with CAUTI,it is necessary to take strict antimicrobial management measures,master the indications of antimicrobial application,shorten the hos-pitalization time of patients and reduce the incidence of MDRO infection.

Objective To compare the efficiency of nomogram and different machine learning algo-rithms for constructing the dental caries predictive models for middle-aged and elderly people.Methods The multi-stage stratified random sampling method was used to select 510 middle-aged and elderly people from Nanning City,Guigang City and Chongzuo City as the research subjects for conducting the questionnaire sur-vey and oral cavity examination.The univariate analysis and Lasso regression were used to screen the related variables,and the multivariate logistic regression analysis was used to determine the final independent influen-cing factors.Based on the salient features,the nomogram predictive model was established,and the seven ma-chine learning algorithms,including linear discriminant analysis (LDA),partial least squares (PLS),range Doppler algorithm (RDA),generalized linear models (GLM),random forest (RF),support vector machine (SVM) kernel function (SVM-Radial),and SVM linear kernel function (SVM-Linear),were used to construct the seven kinds of dental caries risk predictive models.The area under the receiver operating characteristic (ROC) curve (AUC) was adopted to evaluate the predictive performance of various models and the predictive performance of models constructed using different variable screening methods.Results The detection rate of dental caries in middle-aged and elderly people was 71.18％.After feature screening,the five predictive factors were ultimately retained,which were the age (OR=0.945,95％CI:0.917-0.973),brushing frequency (OR=0.688,95％CI:0.475-0.997),whether having teeth cleaning in the past one year (OR=0.303,95％CI:0.103-0.890),number of remaining teeth (OR=1.062,95％CI:1.038-1.087) and oral health assess-ment tool (OHAT) score (OR=1.363,95％CI:1.234-1.505).The results of comparison of various models showed that the predictive model constructed by the RF algorithm performed the best,the median of AUC was 0.747,followed by the nomogram,and the median of AUC was 0.733.The median of AUCs in the predic-tion model constructed by single factor+Lasso+multivariate logistic (Lasso+logistic) screening independent variables were higher than those constructed by RF algorithm screening independent variables.ConclusionBased on Lasso+logistic screening variables,RF provide more reliable predictive efficiency in predicting dental caries in middle-aged and elderly people than nomogram and the other machine learning algorithms.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective To investigate the medication and blood glucose control of type 2 diabetes patients under chronic diseases management in Xi'an chain pharmacies,and provides reference for improving the management policy of diabetes at grassroots level.Methods A number of chain pharmacies in the sixth district of Xi'an were selected by random sampling method,and on-site interviews were conducted by questionnaire survey to patients with type 2 diabetes under the management of chronic diseases.The basic information of patients,medication status(medication plan,drug adherence,etc.),diabetes-related conditions(blood glucose status,family history,course and complications,etc.)were collected.Multivariate logistic regression was used to analyze the relevant factors of blood glucose control in patients.Results A total of 403 patients were surveyed,the largest number of patients use oral hypoglycemic drugs alone(53.4％),followed by insulin medication(including insulin only and insulin in combination with oral hypoglycemic drugs)(35.7％),and the differences between disease course and glycemic control among patients with different drug regimens were statistically significant(P＜0.05).Only 43.7％of patients had good medication compliance.In addition,the patient's fast plasma glucose compliance rate was only 39.2％.The results of multivariate logistic regression analysis showed that good medication compliance(OR=1.744,95％CI 1.104 to 2.754,P=0.017)were independent influencing factors for achieving glycemic control.Conclusion The medication compliance of type 2 diabetes patients with poor blood glucose control in chronic disease management of chain pharmacies in Xi'an needs to be strengthened.Pharmacies should emphasize and give full play to the professional and service advantages of pharmacists to realize the functional role of pharmacies and strengthen diabetes management.

It remains unclear whether heart transplantation is still feasible on patients who develop neurological complications before surgery and underwent successful neurological treatment.This article reported the diagnosis and treatment process of a heart failure patient complicating with acute ischemic stroke,who underwent successful heart transplantation after thrombectomy for acute ischemic stroke,aiming to provide clinical evidence and decision-making plan on diagnosis and treatment options for this group of patients with severe neurological complications.

Objective:To investigate the association of serum fibroblast growth factor 23(FGF23) level with insulin resistance(IR) and sex hormone levels in patients with polycystic ovary syndrome(PCOS).Methods:A retrospective study was performed in eighty-seven patients with PCOS, fifty-seven patients with simple IR, and sixty-one healthy women who were admitted to Affiliated Hospital of Zunyi Medical University during October 2021 and November 2022. According to the homeostasis model assessment-IR index, all subjects were divided into normal control group( n=61), IR group( n=57), PCOS without IR group(PCOS group, n=15), and PCOS+ IR group( n=72). The levels of serum FGF23, adiponectin, and sex hormones in all groups were compared, and their correlations with glucose and lipid metabolism indicators were analyzed. Results:The FGF23 level was significantly elevated in the IR group, while markedly reduced in the PCOS group and PCOS+ IR group, with the PCOS group showing a significantly lower concentration. The adiponectin levels were significantly decreased in the IR group, PCOS group, and PCOS+ IR group(all P<0.05). The correlation analysis showed that FGF23 level was positively correlated with adiponectin and sex hormone binding globulin, and negatively correlated with luteinizing hormone, luteinizing hormone/follicle stimulating hormone, and free testosterone index(all P<0.05). Logistic regression results indicated that both FGF23 and adiponectin could be used as good indicators for the diagnosis of PCOS and PCOS with IR(all P<0.05). Conclusion:FGF23 is closely related to IR and androgen as well, and under certain conditions, it can reflect the severity of IR and hyperandrogenemia in PCOS patients. The cutoff value of FGF23 obtained in this study can provide a good reference for the diagnosis of PCOS diseases.

Objective:To explore the risk factors of all-cause death in hypertensive patients in the community.Methods:A cohort of 4 049 hypertensive patients who participated in annual health checkups at Xinzhuang Community Health Service Centre of Shanghai Minhang district from January to December 2012 were enrolled in the study. All-cause death was the endpoint event of this study, and patients were divided into a fatal group and a survival group. The collection date for the endpoint event was December 2022. A multivariate Cox regression model was used to analyse the independent risk factors of all-cause mortality among hypertensive patients in the community.Results:Among 4 049 patients aged (67.9±7.1) years, 1 856 (45.8%) were males. There were 610 cases in the fatal group and 3 439 cases in the survival group. Multivariate Cox proportional regression showed that male gender ( HR=1.446, 95% CI: 1.200-1.742, P<0.001), older age ( HR=1.130, 95% CI: 1.118-1.143, P<0.001), higher waist-to-height ratio ( HR=8.117, 95% CI: 2.235-29.481, P=0.001), positive urinary protein ( HR=2.974, 95% CI: 2.202-4.016, P<0.001), high fasting blood glucose ( HR=1.070, 95% CI: 1.012-1.131, P=0.017), and history of stroke ( HR=1.819, 95% CI: 1.414-2.340, P<0.001) were independent risk factors for all-cause mortality in hypertensive patients, while exercise≥1/week ( HR=0.816, 95% CI: 0.668-0.996, P=0.046) and taking lipid-lowering medications ( HR=0.459, 95% CI: 0.223-0.947, P=0.035) were protective factors for all-cause mortality. Conclusion:For hypertensive patients, male gender, older age, higher waist-to-height ratio, positive urinary protein, high fasting blood glucose, and history of stroke are risk factors for all-cause mortality, while exercise≥1/week and taking lipid-lowering medications are protective factors.

Objective:To analyze the association between sleep status and ambulatory blood pressure monitoring indicators in community-dwelling hypertensive patients.Methods:It was a cross sentional study. Hypertensive patients who underwent 24-hour ambulatory blood pressure monitoring from May 2021 to April 2023 in Shanghai Xinzhuang Town were enrolled. The demographic information and sleep status of patients were obtained from the questionnaire. A TM-2430 blood pressure monitor was used to measure 24-hour ambulatory blood pressure, and the relevant indicators, including blood pressure level and blood pressure coefficient of variation were documented. The association between sleep status and blood pressure indicators was analyzed with multivariate linear regression model.Results:A total 1 135 patients aged (65.07±12.61) years were enrolled, and 473 (41.67%) of whom were males. The sleep time was<7 hours in 76 cases, 7- 8 hours in 219 cases and >8 hours in 840 cases; the bedtime was earlier than 22∶00 in 415 cases, between 22∶00 and 23∶00 in 474 cases and later than 23∶00 in 246 cases; the wake-up time was before 6∶00 in 230 cases, between 6∶00 and 7∶00 in 521 cases and after 7∶00 in 384 cases. Multivariate linear regression analysis showed that after controlling for gender and age, the sleep time was negatively associated with diurnal, noctumal and 24-hour diastolic blood pressure levels (all P<0.05), and positively associated with diurnal and noctumal systolic blood pressure coefficient of variation, noctumal diastolic blood pressure coefficient of variation, and 24-hour systolic blood pressure coefficient of variation (all P<0.05).The bedtime was positively associated with diurnal, noctumal and 24-hour diastolic blood pressure (all P<0.05), diastolic blood pressure (all P<0.05); and negatively associated with diurnal systolic blood pressure coefficient of variation, diurnal diastolic blood pressure coefficient of variation, noctumal systolic blood pressure coefficient of variation, 24-hour systolic blood pressure coefficient of variation, and 24-hour diastolic blood pressure coefficient of variation (all P<0.05). The wake-up time was positively associated with diurnal systolic blood pressure, diurnal, noctumal and 24-hour diastolic blood pressure (all P<0.05), and positively associated with diurmal systolic blood pressure and diastolic blood pressure (both P<0.05). Conclusion:Sleep status is closely associated with ambulatory blood pressure monitoring indicators in community-dwelling hypertensive patients.