Objective: To explore the changes of mechanosensitive channels Piezos (Piezo 1 and Piezo 2) in neurogenic bladder (NB) of young rats and their effects，so as to provide reference for clinical search of new therapeutic targets. Methods: A total of 30 female young SD rats were divided into 5 groups based on random number table method：sham operation group (sham)，2-week nerve transection group (NB-2W)，6-week nerve transection group (NB-6W)，2-week nerve transection + Piezos inhibitor group (NB-P-2W) and 6-week nerve transection + Piezos inhibitor group (NB-P-6W)，with 6 rats in each group.The NB models were constructed by transecting the L6 and S1 spinal nerves of young rats.The NB-2W and NB-6W groups were not intervened after modeling，while the NB-P-2W and NB-P-6W groups were intraperitoneally injected with Piezos inhibitor GsMTx4 (10 mg/kg) every 2 days after modeling.Bladder cystometry and ultrasound were performed after 2 and 6 weeks of transection.The expressions of Piezos and fibrosis-related indexes (Collagen Ⅰ and α-smooth muscle actin) were detected in bladder tissues. Results: The results of bladder cystometry showed that the basal bladder pressure in NB-2W group was significantly increased，while it was slightly decreased but was still higher in NB-6W group than in the sham group (P<0.05).Basal bladder pressure was lower in NB-P-2W group than in NB-2W group，but was higher than that in the sham group; basal bladder pressure was lower in NB-P-6W group than in NB-6W group，but higher than that in the sham group (P<0.05).Compared with the sham group，the NB-2W and NB-6W groups had firstly increased and then decreased maximum cystometric capacity (MCC) (P<0.05).Compared with NB-2W group，NB-P-2W group had lower bladder leakage point pressure (BLPP)，but higher MCC and bladder compliance (BC) (P<0.05).Compared with NB-6W group，NB-P-6W group had significantly lower BLPP but higher MCC and BC (P<0.05).HE and MASSON staining and ultrasound results showed that，with the extension of nerve transection time，bladder fibrosis gradually worsened，the bladder wall became rough and thickened，calculi were visible inside，and hydronephrosis gradually appeared; the degree of fibrosis in NB-P-2W and NB-P-6W groups was less than that in NB-2W and NB-6W groups，and no hydronephrosis was observed in the upper urinary tract.In addition，Western blotting and immunohistochemical results showed that NB-2W and NB-6W groups had significantly higher relative expression levels of Piezos，Collagen Ⅰ and α-SMA than the sham group (P<0.01)，while NB-P-2W and NB-P-6W groups had lower relative expression levels of Piezos,Collagen Ⅰ and α-SMA than NB-2W and NB-6W groups (P<0.01). Conclusion: The increased expressions of mechanosensitive channels Piezos in NB young rats may be involved in the progression of bladder fibrosis，but its mechanism needs further study.

Objective: To investigate the influencing factors of overactive bladder (OAB) in college freshmen and the impacts of OAB on their mental health, quality of life and social interaction. Methods: An epidemiological questionnaire survey was conducted in an anonymous manner on the prevalence of OAB among 5300 freshmen aged 17 to 22 years enrolled in the 2023—2024 academic year in Xinxiang Medical University and Sanquan College of Xinxiang Medical University.The questionnaire included questions on basic information, history of urinary tract infection, constipation, smoking, history of alcohol consumption, history of coffee/strong tea drinking, history of carbonated beverage drinking, redundant prepuce, phimosis, holding urine, chronic insomnia, self-rating anxiety scale (SAS), quality of life score (QoL), and social avoidance and distress scale (SADS).The influencing factors of OAB were analyzed with multivariate logistic regression analysis.The subjects were grouped according to whether they had OAB, and the differences in SAS, QoL and SADS between the OAB group and non-OAB group were compared.The impacts of OAB on the anxiety level, quality of life, and social interaction were analyzed with multiple linear regression analysis. Results: The overall prevalence rate of OAB was 4.9% (244/5018).Multivariate logistic regression analysis showed that the history of urinary tract infection (OR=0.177), constipation (OR=0.636), smoking (OR=0.582), alcohol consumption (OR=0.685), coffee/strong tea drinking (OR=0.387), carbonated beverage drinking (OR=0.631), redundant prepuce (OR=0.673), phimosis (OR=0.311), urine holding (OR=0.593), and chronic insomnia (OR=0.256) were influencing factors for the occurrence of OAB (P＜0.05).The OAB group had higher SAS score [(41.18±6.54) vs. (38.61±6.36)], QoL score [(3.65±1.20) vs. (2.79±0.95)], social avoidance score [(6.25±1.86) vs. (5.86±1.51)], social distress score [(6.27±1.59) vs. (5.97±1.32)], and total SADS score [(12.51±2.35) vs. (11.84±2.01)] than the non-OAB group (P＜0.05).The results of multiple linear regression analysis showed that OAB could independently affect the scores of QoL, SAS, and SADS.The OAB group had higher scores of QoL, SAS, and SADS compared with the non-OAB group (P＜0.001). Conclusion: History of urinary tract infection, constipation, smoking, alcohol consumption, coffee/strong tea drinking, carbonated beverage drinking, redundant prepuce, phimosis, urine holding, and chronic insomnia are influencing factors for the occurrence of OAB in male college students.Moreover, OAB has negative impacts on their mental health, quality of life, and social interaction.

Objective To explore the clinical value of artificial intelligence (AI) quantitative parameters in distinguishing pathological grades of stageⅠ invasive adenocarcinoma (IAC). Methods Clinical data of patients with clinical stageⅠ IAC admitted to Yantaishan Hospital Affiliated to Binzhou Medical University from October 2018 to May 2023 were retrospectively analyzed. Based on the 2021 WHO pathological grading criteria for lung adenocarcinoma, IAC was divided into gradeⅠ, grade Ⅱ, and grade Ⅲ. The differences in parameters among the groups were compared, and logistic regression analysis was used to evaluate the predictive efficacy of AI quantitative parameters for grade Ⅲ IAC patients. Parameters were screened using least absolute shrinkage and selection operator (LASSO) regression analysis. Three machine learning models were constructed based on these parameters to predict grade Ⅲ IAC and were internally validated to assess their efficacy. Nomograms were used for visualization. Results A total of 261 IAC patients were included, including 101 males and 160 females, with an average age of 27-88 (61.96±9.17) years. Six patients had dual primary lesions, and different lesions from the same patient were analyzed as independent samples. There were 48 patients of gradeⅠ IAC, 89 patients of grade Ⅱ IAC, and 130 patients of grade Ⅲ IAC. There were statitical differences in the AI quantitive parameters such as consolidation/tumor ratio (CTR), ect among the three goups. (P<0.05). Univariate analysis showed that the differences in all variables except age were statistically significant (P<0.05) between the group gradeⅠ+grade Ⅱand the group grade Ⅲ . Multivariate analysis suggested that CTR and CT standard deviation were independent risk factors for identifying grade Ⅲ IAC, and the two were negatively correlated. Grade Ⅲ IAC exhibited advanced TNM staging, more pathological high-risk factors, higher lymph node metastasis rate, and higher proportion of advanced structure. CTR was positively correlated with the proportion of advanced structures in all patients. This correlation was also observed in grade Ⅲ but not in gradeⅠand grade ⅡIAC. CTR and CT median value were selected by using LASSO regression. Logistic regression, random forest, and XGBoost models were constructed and validated, among which, the XGBoost model demonstrated the best predictive performance. Conclusion Cautious consideration should be given to grade Ⅲ IAC when CTR is higher than 39.48% and CT standard deviation is less than 122.75 HU. The XGBoost model based on combined CTR and CT median value has good predictive efficacy for grade Ⅲ IAC, aiding clinicians in making personalized clinical decisions.

BACKGROUND:Rapid developments in the field of bioinformatics have provided new methods for the diagnosis of osteoarthritis.Artificial neural networks have powerful data computing and classification capabilities,which have shown better performance in disease diagnosis. OBJECTIVE:To establish a new diagnostic predictive model of osteoarthritis based on artificial neural network and to verify the diagnostic value of the model in osteoarthritis with an external dataset. METHODS:The eligible osteoarthritis-related data sets were downloaded through GEO database search and divided into Train group and Test group.The gene expression matrix of the Train group was analyzed to screen the differentially expressed genes.GO and KEGG enrichment analyses were performed on the differentially expressed genes.Through Lasso regression model,support vector machine model and random forest tree model,the key genes of osteoarthritis were further identified from the differentially expressed genes.The R software"Neuralnet"package was then used to construct the osteoarthritis diagnosis model based on artificial neural network,and the model performance was evaluated by the five-fold cross-validation.Two independent data sets in the Test group were used to verify their diagnostic results. RESULTS AND CONCLUSION:A total of 90 differentially expressed genes related to osteoarthritis were obtained by differential analysis,of which 33 were down-regulated and 57 were up-regulated.GO enrichment analysis showed that the differentially expressed genes were mainly involved in the following biological processes,including leukocyte-mediated immunity,leukocyte migration in bone marrow and chemokine production.KEGG enrichment analysis showed that these genes were mainly enriched in rheumatoid arthritis,interleukin-17 signaling pathway and osteoclast differentiation pathway.Five key genes for the diagnosis of osteoarthritis,HMGB2,GADD45A,SLC19A2,TPPP3 and FOLR2,were identified by three machine learning methods.The artificial neural network model of five key genes in the Train group showed that the accuracy was 96.36%and the area under the curve was 0.997.The five-fold cross validation of the neural network model showed that the average area under the curve was greater than 0.9 and the model was of robustness.Two independent data sets in the Test group showed its area under the curve was 0.814 and 0.788 respectively.Therefore,the establishment of an artificial neural network model for the diagnosis of osteoarthritis has a certain diagnostic value.

Objective This study aimed to assess the clinical efficacy of Shenling Baizhu Granules in treating low anterior resection syndrome(LARS)in rectal cancer.Methods The study employed a randomized,double-blind,placebo-parallel controlled,single-center,validity-tested clinical trial design.December 2019 to June 2022,the Department of Gastrointestinal Surgery and Integrated Traditional Chinese and Western Medicine of Peking University First Hospital recruited 110 patients who had undergone low anterior resection(LAR)for rectal cancer and subsequently developed LARS.These patients,meeting the enrollment criteria,were randomly assigned into the treatment group(55)and the control group(55)using the double-blind method principle.The randomization table was generated by SAS 9.2 software employing the double-blind method.The treatment group received oral Shenling Baizhu Granules,while the control group received oral placebo granules.Both groups commenced treatment on the 10th day after-surgery for 30 consecutive days.Patients were evaluated using LARS score,traditional Chinese medicine(TCM)symptom grading,and XU Zhongfa score before treatment,on the 15th day of treatment,and on the 1st day after treatment cessation.Results Out of 110 patients,107 were included in the full analysis set for efficacy analysis:55 patients in the treatment group and 55 patients in the control group.One case in the treatment group was excluded(against protocol),and two cases in the control group were excluded(one lost to follow-up,one against protocol).Baseline data between the two groups were consistent,with no statistically significant difference.Before treatment,LARS scores for the treatment and control groups were 33.0(31.0,36.0)and 34.0(32.0,37.0)respectively.Patients with TCM symptom scores of grades 2 to 3 accounted for 92.73％and 90.57％in the treatment and control groups,respectively,with no statistically significant difference.After 30 days of treatment,LARS scores for the treatment and control groups were 21.0(19.8,23.0)and 26.0(22.0,28.0)respectively.The percentage of patients with TCM symptom scores of grades 2 to 3 decreased to 33.33％in the treatment group and 66.04％in the control group,with a statistically significant difference.Shenling Baizhu Granules showed rapid improvement in watery or loose stools in post-operative rectal cancer patients.After 30 days of treatment,Shenling Baizhu Granules significantly improved appetite,stool consistency,abdominal distension,abdominal pain,and eructation symptoms in postoperative rectal cancer patients.Before treatment,the XU Zhongfa scores for the treatment and control groups were 3.0(2.0,4.3)and 4.0(2.0,4.0)respectively,with no statistically significant difference.After 30 days of treatment,the XU Zhongfa scores for the treatment and control groups were 7.0(6.0,8.0)and 6.0(5.0,7.0)respectively,with the treatment group significantly higher than the control group(P＜0.01).Conclusion Shenling Baizhu Granules can effectively improve LARS symptoms in patients following LAR of rectal cancer within a short period of time.

Objective:To evaluate the cost-effectiveness of hepatitis C screening in general population in China, and find the age group in which hepatitis C screening can achieve the best cost-effectiveness.Methods:A decision-Markov model was constructed by using software TreeAge pro 2019 to simulate the outcomes of hepatitis C disease pregression of 100 000 persons aged 20-59 years. The cost-effectiveness of the strategies were evaluated from societal perspectives by using incremental cost-effectiveness ratio (ICER) and net monetary benefit (NMB). One-way sensitivity analysis and probability sensitivity analysis were used to evaluate the uncertainty of parameters and model.Results:Hepatitis C screening was cost-effective in people aged 20- 59 years and the cost effectiveness was best in age group 40-49 years. Compared with non-screening strategy of hepatitis C in people aged 20-59 years, the incremental cost was 161.24 yuan, the incremental utility was 0.003 6 quality adjusted life years (QALYs)/per person, ICER was 45 197.26 yuan/QALY, ICER was less than the willing payment threshold. The ICER and NMB in all age groups were 42 055.06-53 249.43 yuan/QALY and 96.52-169.86 yuan/per person. Hepatitis C screening in people aged 40-49 years had the best cost-effectiveness. The results of one-way sensitivity analysis showed that the discount rate, anti-HCV detection cost, anti-HCV infection rate and the cost of direct antiviral agents were the main factors influencing economic evaluation. The results of the probability sensitivity analysis indicated that the model analysis was stable.Conclusions:Implementing hepatitis C screening based on medical institutions is cost-effective in people aged 20- 59 years, especially in those aged 40-49 years. Implementing the HCV screening strategy of be willing to test as far as possible in general population can reduce hepatitis C disease burden in China.

In recent years,China has made great progress in basic nanomedicine,nanotoxicology and nanobiology research.Nanotechnology has been continuously applied in biomaterial and medical device,more and more medical devices applying nanomaterials are developed and manufactured.In order to gain more comprehension and accurate understanding of the research and industrial development in nanobiomaterial medical devices,this study reviewed the common nanomaterial in medical devices and the regulatory situation of nanomaterial medical devices at home and abroad,and discussed the current challenges in biological evaluation of nanomaterial medical devices,with a view to providing ideas for the safety evaluation and research of related products.

Objective:To study the changes of patient-related costs and the use of stents and other consumables before and after the centralized procurement of coronary stents.Methods:The inpatient medical insurance settlement case data of 1,973 patients with coronary stent implantation admitted to Daping Hospital of Army Medical University from December 2019 to October 2021 were selected.Among them,the data of 1,317 cases of percutaneous cardiovascular surgery and coronary stent implantation with serious or complications and accompanying disease group were slected according to disease diagnosis related groups(DRG),which were divided into the pre-centralized procurement group(667 cases)and the post-centralized procurement group(650 cases)according to the centralized procurement of coronary stents before and after.The costs of patients'medical consumables with the consumption of patients'medical consumables and the impact of the use of consumables such as coronary stents on the costs of medical consumables were compared.Results:There was no significant statistical difference in the hospitalization days and the average number of stents used in patients undergoing percutaneous cardiovascular procedures and coronary stent implantation with centralized procurement of coronary stents.There was a statistically significant difference in the total diagnosis and treatment cost,medical consumables cost,medicines and consumables cost and medicines cost between the pre-centralized procurement group and the post-centralized procurement group(Z=-22.316,-23.546,-22.917,-5.724,P<0.05).The cost of stents[16 260(13 300,32 272)yuan],the number of catheter guidewire balloon sheaths consumables[5(4,8)sets(pieces)],and the cost of catheter guidewire balloon sheaths consumables[8 719(5 805,15 372)yuan]in the pre-collection group were collected.There were statistically significant differences in the stent cost[1 059(590,1 770)yuan],the number of catheter guidewire balloon sheaths consumables[8(7,12)sets(pieces)],and the cost of catheter guidewire balloon sheaths consumables[5 708(3 392,12 871)yuan]between the two groups(Z=-30.452,16.582,-7.670,P<0.05).There was a statistical correlation between the cost of coronary stents and the cost of catheter guidewire balloon sheaths before and after centralized volume procurement on the cost of medical consumables for patients(r=0.903,0.473,0.785,0.953,P<0.05).The correlation coefficient between the cost of coronary stents and the cost of medical consumables for patients in the post-centralized procurement group decreased compared to the pre-centralized procurement group,the correlation coefficient between the cost of catheter guidewire balloon sheath and the cost of medical consumables for patients increased.Conclusion:The centralized procurement of coronary stents has a significant cost control effect on patients in the disease groups,and affects the cost structure of medical consumables.Combined with DRG reform,it can continuously improve the standardization and scientificity of clinical use of medical consumables.

Cardiovascular disease (CVD) is currently one of the most severe diseases endangering human health, encompassing myocardial ischemia syndrome, myocardial fibrosis, atrial fibrillation, and other conditions. MicroRNAs (miRNAs/miR) are a class of small non-coding RNAs that can bind to specific sequences and subsequently regulate post-transcriptional processing, translation, or epigenetic modifications, thereby modulating gene expression. Studies have found that miR-223 is associated with the occurrence and development of CVD and represents a potential specific therapeutic target. This article summarizes the relevant research on miR-223 in CVD, focusing on myocardial ischemia syndrome, myocardial fibrosis, and atrial fibrillation, and discusses its application prospects and challenges as a specific therapeutic target, providing new ideas for the diagnosis and treatment of CVD.

Objective:By analyzing the clinical data of patients with primary duodenal adenocarcinoma (PDA), the risk factors affecting the postoperative prognosis of PDA patients were discussed.Methods:The clinical data of 191 patients diagnosed with PDA in Peking University First Hospital from Jan 2009 to Dec 2022 were collected. The survival rate was calculated and the survival curve was plotted by Kaplan-Meier method. Univariate analysis was performed by Log-Rank test, and multivariate analysis was performed by COX proportional hazards regression model to obtain independent risk factors.Results:The median age of onset in patients with PDA is 65 years old, and the most common symptoms are abdominal pain and abdominal distension. Prognostic analysis showed that the survival rates at 1, 3 and 5 years were 73.8%, 44.6%, and 23.0%. The analysis of Cox risk proportional regression model showed that preoperative CA19-9 level, depth of tumor invasion, degree of differentiation, TNM stage, and surgical mode were independent risk factors for the prognosis of PDA (all P<0.01). Conclusion:The overall incidence of PDA is low, but the prognosis is rather poor. Multvariable factors are associated with its prognosis and surgery is still the mainstay for hope of cure.