Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

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: Ferroptosis-related genes play a crucial role in regulating intracellular iron homeostasis and lipid peroxidation, and they are involved in the regulation of tumor growth and drug resistance. The expression of ferroptosis-related genes in tumor tissues can be used to predict patients' future survival times, aiding doctors and patients in anticipating disease progression. Based on the sequencing data of lung adenocarcinoma (LUAD) patients from The Cancer Genome Atlas (TCGA) database, this study identified genes involved in the regulation of ferroptosis, constructed a prognostic model, and evaluated the predictive performance of the model. METHODS: A total of 1467 ferroptosis-related genes were obtained from the GeneCards database. Gene expression profiles and clinical data from 541 LUAD patients were collected from the TCGA database. The expression data of all ferroptosis-related genes were extracted, and differentially expressed genes were identified using R software. Survival analysis was performed on these genes to screen for those with prognostic value. Subsequently, a prognostic risk scoring model for ferroptosis-related genes was constructed using LASSO regression model. Each LUAD patient sample was scored, and the patients were divided into high-risk and low-risk groups based on the median score. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated. Kaplan-Meier survival curves were generated to assess model performance, followed by validation in an external dataset. Finally, univariate and multivariate Cox regression analyses were conducted to evaluate the independent prognostic value and clinical relevance of the model. RESULTS: Through survival analysis, 121 ferroptosis-related genes associated with prognosis were initially identified. Based on this, a LUAD prognostic risk scoring model was constructed using 12 ferroptosis-related genes (ALG3, C1QTNF6, CCT6A, GLS2, KRT6A, LDHA, NUPR1, OGFRP1, PCSK9, TRIM6, IGF2BP1 and MIR31HG). The results indicated that patients in the high-risk group had significantly shorter survival time than those in the low-risk group (P<0.001), and the model demonstrated good predictive performance in both the training set (1-yr AUC=0.721) and the external validation set (1-yr AUC=0.768). Risk scores were significantly associated with the prognosis of LUAD patients in both univariate and multivariate Cox regression analyses (P<0.001), suggesting that this score is an important prognostic factor for LUAD patients. CONCLUSIONS This study successfully established a LUAD risk scoring model composed of 12 ferroptosis-related genes. In the future, this model is expected to be used in conjunction with the tumor-node-metastasis (TNM) staging system for prognostic predictions in LUAD patients.
Humans ; Ferroptosis/genetics* ; Prognosis ; Adenocarcinoma of Lung/pathology* ; Lung Neoplasms/pathology* ; Male ; Female ; Gene Expression Regulation, Neoplastic ; Middle Aged ; ROC Curve

【Objective】 To investigate the effects of radical prostatectomy (RP) or brachytherapy (BT) on the prognosis of patients with high-risk prostate cancer as initial treatment, in order to provide a reference for the selection of clinical treatment options. 【Methods】 The clinical data of 133 191 patients diagnosed with high-risk prostate cancer and treated with RP or BT during 2005 and 2014 were extracted from the SEER database.The 5-year and 10- year cancer-specific survival (CSS) and overall survival (OS) were compared with K-M analysis and univariate and multivariate Cox regression.The clinical data of another 253 patients diagnosed with high-risk prostate cancer in Subei People’s Hospital during 2015 and 2020 were collected, including 153 patients who received RP and 100 patients who received BT.The 5-year biochemical progress-free survival (bPFS) and CSS were compared with K-M analysis. 【Results】 Univariate analysis of SEER data showed that BT was associated with a higher risk of death (HR=1.319, 95%CI: 1.256-1.386, P<0.001); age, marital status and TNM stage were associated with higher risk of death (P<0.001).Multivariate analysis, adjusted for relevant variables, showed that BT did not result in a higher risk of death compared with RP (HR=0.964, 95%CI:0.924-0.996, P=0.808). The OS curve showed that the longer the observed survival time, the better OS of RP as compared to BT (P<0.001); however, the CSS survival curve showed that the longer the observed survival time, the better CSS of BT compared to RP (P<0.001).The single-center data analysis showed no significant difference between BT and RP in the 5-year bPFS (P=0.263) and CSS (P=0.946). 【Conclusion】 For patients with high-risk prostate cancer, there is a significant difference in the prognosis of the two treatments if there is no adjustment of age, marital status, TNM stage and other factors, and the efficacy of RP is better than that of BT, especially in patients with survival more than 10 years.However, there is no statistically significant difference in the prognosis after the possible confounding factors are adjusted.Therefore, the initial treatment choice for these patients should be weighed from multiple perspectives, and patients’ choices must be respected after they are fully informed.

Objective: To investigate the symptoms of depression and anxiety and their influencing factors among manufacturing workers in a district of Beijing Municipality, so as to provide insights into prevention and intervention of depression and anxiety among workers in this industry. Methods: Frontline workers from 15 manufacturing enterprises including large, medium, and small/micro sizes were selected using the stratified random sampling method. Demographic and occupational information were investigated using the Chinese National Occupational Health Literacy Monitoring Questionnaire among Key Populations. The symptoms of depression and anxiety were assessed by the 9-item Patient Health Questionnaire and the Generalized Anxiety Disorder Scale, respectively. The influencing factors for depression and anxiety symptoms were analyzed using a multivariable logistic regression model. Results: A total of 759 questionnaires were allocated and 748 valid questionnaires were recovered, with an effective recovery rate of 98.55%. The respondents included 372 people (49.73%) from 3 large enterprises, 167 people (22.33%) from 3 medium enterprises, and 209 people (27.94%) from 9 small/micro enterprises. There were 584 males, accounting for 78.07%. The median age was 39 (interquartile range, 11.00) years, and the median duration of employment was 8.50 (interquartile range, 11.00) years. Depression and anxiety symptoms were detected in 175 and 68 cases, with the detection rates were 23.40% and 9.09%, respectively. Multivariable logistic regression analysis showed that the educational level (junior high school, OR=0.305, 95%CI: 0.129-0.723), weekly working duration (≥55 h, OR=1.727, 95%CI: 1.026-2.906) and sleep disorders (OR=3.062, 95%CI: 2.127-4.407) were influencing factors for depression symptoms; educational level (junior high school, OR=0.196, 95%CI: 0.074-0.523; high school/vocational high school/technical secondary school, OR=0.171, 95%CI: 0.064-0.452; junior college and above, OR=0.187, 95%CI: 0.066-0.527), work shift (night shift, OR=2.369, 95%CI: 1.344-4.177) and sleep disorders (OR=5.411, 95%CI: 3.076-9.519) were influencing factors for anxiety symptoms. Conclusion The symptoms of depression and anxiety among manufacturing workers are mainly affected by educational level, weekly working duration, work shift and sleep disorders.

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.

Alzheimer disease(AD),commonly known as senile dementia,is the most common type of dementia,resulting in progressive impairment of cognitive function,and is often accompanied by a variety of psychiatric symptoms,such as agitation.Agitated symptoms in AD patients often cause an increasing burden on caregivers,and current psychiatric medications may exacerbate adverse effects such as cognitive impairment and motor retardation in patients.Therefore,non-drug intervention is a very important adjuvant treatment option.This article reviews the clinical manifestations,possible mechanisms,drug therapy and non-drug intervention measures of agitation in order to provide reference for more effective treatment of AD.

OBJECTIVE To analyze the traditional Chinese medicine （TCM） emergency management policy texts in China， reveal the characteristics， problems and improvement directions of Chinese medicine emergency management policies in China， and provide references and lessons for improving the level of Chinese medicine emergency management. METHODS Twenty-four TCM emergency management policy texts issued at the central level from 2016 to 2023 were coded and analyzed using Nvivo11 software to construct a three-dimensional analysis framework based on policy tools， stakeholders and policy strength. RESULTS In the policy tools dimension， the environmental type was the most （46.74%）， the supply type was the second （31.80%）， and the demand type was the least （21.46%）； in the stakeholder dimension， there were more healthcare institutions （40.63%） and government departments （31.25%）， and fewer healthcare workers （14.84%） and residents （13.28%）； in the policy strength dimension， the overall policy strength was poor， and the differences in effectiveness across policy instruments and stakeholders were more significant. The cross-cutting results showed that there was a certain degree of mismatch in policy instruments， stakeholders and policy strength. CONCLUSIONS The use of supply-oriented policy tools is slightly lacking， and the use of policy tools should be optimized in a coordinated manner； the distribution of stakeholders is relatively unbalanced， and synergies among stakeholders should be enhanced； the overall strength of policies is poor， and the top-level design of relevant policies should be improved.