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 analyze the monitoring results of occupational hazard factors (OHF) in the workplace of key industries in Shaoguan City from 2021 to 2024. Methods A total of 486 enterprises of key industries in Shaoguan City, selected from the "Occupational Diseases Hazardous Items Reporting System" and the "Guangdong Provincial Occupational Health Quality Control Platform" from 2021 to 2024, were used as the research subjects. Data on the declaration of occupational hazard projects, the exposure to OHF and the occupational medical examinations for workers, the usage of protective equipment and the setup of protection facilities in enterprises, and the monitoring results of OHF were analyzed. Results From 2021 to 2024, a total of 486 enterprises of key industries in Shaoguan City were monitored, and the detection rate of OHF exceeding national standard was 57.0%. The exceedance rates in medium/large enterprises and small/micro enterprises were 67.1% and 55.0%, respectively. A total of 51 771 worker-exposures to OHF were recorded, with an exposure rate of 55.8%. Training coverage for enterprise managers, occupational health personnel, and workers were 96.7%, 97.1%, and 98.7%, respectively. Abnormal rates in occupational medical examinations were 3.3%, 0.2%, and 0.8% among workers exposed to noise, dust, and chemical factors, respectively. Provision rates of dust respirators, chemical respirators, hearing protection devices (earplugs and earmuffs) were 93.2%, 85.4% and 86.8%, respectively, with wearing compliance rates of 98.7%, 98.8% and 97.1%. Installation rates of dust control, chemical hazard control, and noise control facilities were 97.2%, 90.3%, and 69.9%, respectively, and all facilities were 100.0% effective. Exceedance rates for OHF and noise increased annually (all P<0.05), whereas those for dust and chemical factors decreased (all P<0.05). The exceedance rates of work position from high to low were dust (18.1%), noise (17.1%) and chemical factors (6.4%). Lead-related position had the highest exceedance rate (31.9%). Industries with higher exceedance rates included metal products manufacturing (27.3%), ferrous metal smelting and rolling (24.1%), and non-metallic mineral products manufacturing (23.7%). Conclusion Workplaces in key industries of Shaoguan City face relatively high risks of occupational hazards. It is essential to focus on noise management, with efforts to strengthen occupational health supervision and guidance for small/micro enterprises as well as industries with severe occupational hazards, promoting the standardization of occupational health management.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

Objective To explore the potential categories of exercise perception in elderly hip arthroplasty(HA)patients,analyze the prediction factors of different categories,and provide references for clinical nursing.Methods A convenience sampling method was used to select elderly HA patients treated in 6 orthopedic wards of 2 tertiary A hospitals in Guilin from October 2024 to February 2025.The general data questionnaire,Exercise Benefits and Barriers Perception Scale for Hip/Knee Throplasty Patients,Tampa Scale of Kinesiophobia,the 5-Factor Modified Frailty Index,and Self-Efficacy for Rehabilitation Outcome Scale were used for investigation.Latent profile analysis was used to identify the potential categories of exercise perception of elderly HA patients,and decision tree model was used to explore the core predictive factors of different profile.Results 222 valid questionnaires were collected,with an effective response rate of 96.52％.A total of 222 elderly HA patients were divided into 3 profiles:high benefit-low barrier group(19.82％),low benefit-high barrier group(22.07％),and mild barrier group(58.11％).Frailty,kinesophobia,rehabilitation self-efficacy,residence,educational level and daily exercise were significant predictors of latent profiles(P＜0.05),and the frailty was located in the root node of the decision tree model.Conclusion The level of exercise perception in elderly HA patients needs to be improved,and shows population heterogeneity.Medical staff should prioritize interventions for low benefit-high barrier and mild-barrier groups,implementing targeted strategies based on profile characteristics and predictive factors to improve their exercise perception.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Objective:To investigate the effect of left colonic artery (LCA) preservation on rectal cancer patients' short-term postoperative anal function and quality of life.Methods:Two-hundred ninty-two patients with rectal cancer at the Department of Gastrointestinal Surgery of Peking University First Hospital between Jan 2022 and Dec 2023 were enrolled . The patients were divided into two groups according to whether the LCA was preserved during surgery or not. The LARS scale and EORTC QLQ-CR29 quality of life questionnaire were used to assess postoperative anal function and quality of life.Results:There were no significant differences between the two groups in terms of the amount of surgical blood loss and the number of lymph node dissections in the root No. 253 group and the time to postoperative voiding (all P>0.05). However, the LARS scores at 1 and 3 months postoperatively were significantly lower in the preserved LCA group than in the LCA nonpreserved group, especially for gas incontinence, loose stool leakage, and number of bowel movements (all P<0.05). The EORTC QLQ-CR29 scores showed that the LCA preserved group recovered significantly better than the non-preserved group in terms of postoperative voiding dysfunction ( P=0.007), urinary incontinence ( P=0.006), mucus discharge ( P=0.009), and fecal incontinence symptoms ( P<0.001). Male sexual dysfunction recovery was quicker in the preserved LCA group ( P=0.043), but there was no significant difference between the two groups at 3 months postoperatively( P>0.05). Conclusion:Preservation of the left colonic artery in low anterior resection of rectal cancer helps to reduce the incidence of postoperative low anterior resection syndrome, improve genitourinary symptoms, and improve patients' quality of life.

Objective:Analyze the risk factors of gastrointestinal perforation caused by foreign body and summarize the experience of surgical treatment of foreign bodies.Method:From Jan 2008 to Dec 2023, 89 patients with foreign bodies in the digestive tract were admitted to the Department of Gastrointestinal Surgery, Peking University First Hospital. Relevant data were collected and binary logistic regression was used to analyze the independent risk factors for intestinal perforation, resection and anastomosis of intestine or enterostomy/colostomy.Results:The mean age of 89 patients was (60.1±16.2) years old, 65 patients (73%) had unintentionally ingested foreign bodies. The most common foreign bodies were jujube pits (40 cases). Thirty-nine patients diagnosed with gastrointestinal perforation. Binary Logistic regression analysis showed that the total number of leukocytes ( OR=4.085, 95% CI: 1.214-13.745, P=0.023), sharp foreign body ( OR=26.124, 95% CI: 5.194-131.392, P<0.001), and the location of foreign body ( OR=3.980, 95% CI: 1.178-13.465, P=0.026) were the independent risk factors for gastrointestinal perforation. Thirty-three patients underwent gastrointestinal repair surgery, and 36 patients underwent resection and anastomosis of intestine or enterostomy/colostomy. Binary Logistic regression analysis showed that the foreign body located in the colorectum ( OR=71.928, 95% CI: 4.646-1 113.479, P=0.002) and the length of the foreign body ≤2.5 cm ( OR=5.791, 95% CI: 1.606-20.882, P=0.007) were the independent risk factors for resection and anastomosis of intestine or enterostomy/colostomy. Conclusions:Leukocyte count ≥10×10 9/L, sharp foreign body, and location of foreign body are independent risk factors for gastrointestinal perforation. Foreign body located in the colorectum and foreign body length ≤2.5 cm are risk factors for resection and anastomosis of intestine or enterostomy/colostomy.

Objective To evaluate the diagnostic value of prostate health index(PHI)and prostate health index density(PHID)in identifying intermediate-to high-risk prostate cancer(PCa).Methods Clinical data of 160 treatment-na?ve patients with highly suspected PCa,who underwent initial prostate biopsy in our hospital during Jul.2022 and Feb.2024,were retrospectively analyzed.Data included age,body mass index(BMI),prostate volume(PV),total prostate-specific antigen(tPSA),free PSA(fPSA),[-2]proPSA(p2PSA),PHI and PHID.Biopsy-positive results were stratified according to the EAU D'Amico risk criteria.Receiver operating characteristic(ROC)curve and multivariate logistic regression analysis were employed to assess the diagnostic performance of PHI and PHID in predicting PCa and identifying intermediate-to high-risk PCa.Results There were statistically significant differences in tPSA,p2PSA,PHI and PHID between the negative and positive groups,as well as among the low-,medium-and high-risk groups(P＜0.01).Both PHI and PHID demonstrated good diagnostic performance in predicting PCa(AUC=0.820 8 and 0.875 7,respectively;all P＜0.001),and in identifying intermediate-to high-risk PCa(AUC=0.838 0 and 0.878 3,respectively;all P＜0.001).Compared to the baseline model,the incorporation of PHI and PHID individually into the multivariate model significantly improved the screening performance for PCa(AUC=0.910 and 0.898,respectively;all P＜0.001).Conclusion PHI and PHID exhibit high diagnostic efficacy in screening PCa,particularly in identifying intermediate-to high-risk disease.

Objective To investigate the causal relationship between circulating white blood cells(WBC)and juvenile idiopathic arthritis(JIA)using a two-sample Mendelian randomization(MR)analysis,and to provide a reference for the treatment strategy of JIA.Methods Relevant data of WBC and JIA were extracted from the public data of genome-wide association studies.Then,bidirectional MR analysis was conducted using the inverse variance weighted method(IVW),MR-Egger regression method,mixed contamination method,and Bayesian weighted Mendelian randomization.A series of sensitivity analyses were used to verify the robustness of the results.Results After MR analysis,false discovery rate(FDR)correction and sensitivity verification,calculations using IVW as the main method showed that neutrophils could reduce the risk of JIA(OR=0.752,95%CI:0.622,0.908,P=0.003,PFDR=0.003),and that JIA could lead to increased monocyte counts(bete=0.015,95%CI:0.007,0.022,P=1.90E-04,PFDR=1.14E-03).Conclusion A bidirectional causal association is identified between WBC and the risk of JIA occurrence.