Objective: To analyze the characteristics of road traffic injuries (RTI) among urban and rural residents in Zhejiang Province, so as to provide a basis for developing targeted RTI prevention and control strategies. Methods: In April 2023, permanent residents from 13 counties (cities, districts) in Zhejiang Province were selected using a multistage stratified random sampling method. Basic information and RTI occurrences within the past 12 months were collected through questionnaire surveys. RTI incidence and characteristics of RTI among urban and rural residents were analyzed. Results: A total of 36 980 individuals were surveyed, including 18 327 males (49.56%) and 18 653 females (50.44%). The median age was 56.00 (interquartile range, 28.00) years. There were 442 person-times of RTI, with an incidence of 1.20%. The rural incidence was significantly higher than the urban (1.33% vs. 1.05%, P<0.05). The incidence of RTI increased with age and decreased with higher educational attainment (both P<0.05). The majority of RTI occurred on streets/urban areas, accounting for 59.28%. In urban, streets/urban areas were the primary locations, accounting for 76.84%. In rural, streets/urban areas and intercity highways were the main sites, accounting for 46.03% and 40.48%, respectively. There was a statistically significant difference in the composition of RTI locations between urban and rural (P<0.05). The primary treatment approach of RTI was outpatient/emergency care, accounting for 61.99%. There was a statistically significant difference in the proportion of treatment approaches of RTI between urban and rural (P<0.05). Electric bicycles were involved in 67.87% of RTI, and 54.29% of motor vehicle occupants used seat belts. No statistically significant differences were observed in the composition of transportation modes or seat belt usage rates between urban and rural (both P>0.05). The lower limb was the most commonly injured sites, accounting for 42.31%. Mild injury was predominant, accounting for 50.90%, and complete recovery was predominant outcome, accounting fo 69.68%. The median rest period was 13.50 (interquartile range, 27.25) days. The median medical expenses was 1 200.00 (interquartile range, 5 700.00) yuan. No statistically significant differences were observed between urban and rural in terms of injury sites, injury severity, outcome, rest period, or medical expenses (all P>0.05). Conclusions RTI incidence is higher among rural residents, the elderly, and lower education levels residents in Zhejiang Province. It is recommend optimizing road safety infrastructure on streets/urban areas and intercity highways, prioritizing prevention of electric bicycles RTI, strengthening safety education for high-risk population, and increasing the usage rate of safety devices.

Objective To evaluate the efficacy and safety of brexpiprazole in treating acute schizophrenia.Methods Patients with schizophrenia were randomly divided into treatment group and control group.The treatment group was given brexpiprozole 2-4 mg·d-1 orally and the control group was given aripiprazole 10-20 mg·d-1orally,both were treated for 6 weeks.Clinical efficacy of the two groups,the response rate at endpoint,the changes from baseline to endpoint of Positive and Negative Syndrome Scale(PANSS),Clinical Global Impression-Improvement(CGI-S),Personal and Social Performance scale(PSP),PANSS Positive syndrome subscale,PANSS negative syndrome subscale were compared.The incidence of treatment-related adverse events in two groups were compared.Results There were 184 patients in treatment group and 186 patients in control group.After treatment,the response rates of treatment group and control group were 79.50％(140 cases/184 cases)and 82.40％(150 cases/186 cases),the scores of CGI-I of treatment group and control group were(2.00±1.20)and(1.90±1.01),with no significant difference(all P＞0.05).From baseline to Week 6,the mean change of PANSS total score wese(-30.70±16.96)points in treatment group and(-32.20±17.00)points in control group,with no significant difference(P＞0.05).The changes of CGI-S scores in treatment group and control group were(-2.00±1.27)and(-1.90±1.22)points,PSP scores were(18.80±14.77)and(19.20±14.55)points,PANSS positive syndrome scores were(-10.30±5.93)and(-10.80±5.81)points,PANSS negative syndrome scores were(-6.80±5.98)and(-7.30±5.15)points,with no significant difference(P＞0.05).There was no significant difference in the incidence of treatment-related adverse events between the two group(69.00％vs.64.50％,P＞0.05).Conclusion The non-inferiority of Brexpiprazole to aripiprazole was established,with comparable efficacy and acceptability.

Objective To study the effect and mechanism of action of Yi Sui Sheng Xue Fang(YSSX)in ameliorating chemotherapy-induced renal injury in mice through The Kelch-like ECH-associated protein 1(KEAP1)/Nuclear factor erythroid-derived 2-like 2(NRF2)signalling pathway.Methods A mouse kidney injury model was induced by intraperitoneal injection of carboplatin(40 mg·kg-1).C57BL/6 mice were randomly divided into blank group(0.9％NaCl),model group(kidney injury model)and experimental-L,experimental-M,experimental-H groups(0.53,1.05 and 2.10 g·kg-1·d-1 YSSX by gavage for 7 d).Keap1 and Nrf2 were determined by Western blot;superoxide dismutase(SOD)and malondialdehyde(MDA)activities were determined by spectrophotometry.Results The protein expression levels of Keap1 in blank group,model group and experimental-L,experimental-M,experimental-H groups were 0.26±0.02,0.64±0.03,0.59±0.01,0.45±0.05 and 0.34±0.02;the protein expression levels of Nrf2 were 0.69±0.06,0.35±0.01,0.36±0.01,0.48±0.02 and 0.56±0.01;the enzyme activities of catalase(CAT)were(572.49±912.92),(334.60±4.92),(402.76±9.80),(475.35±5.21)and(493.00±12.03)U·mg-1;glutathione(GSH)were(2.79±0.06),(0.51±0.01),(0.59±0.07),(1.29±0.04)and(1.70±0.08)μmol·L1;SOD were(477.00±4.32),(260.67±6.13),(272.67±2.87),(386.33±3.68)and(395.00±12.25)U·mL-1;MDA were(3.89±0.02),(7.32±0.03),(6.94±0.14),(4.60±0.01)and(4.34±0.02)nmol·mg prot-1.The differences of the above indexes in the model group compared with the blank group were statistically significant(P＜0.01,P＜0.001);the differences of the above indexes in experimental-M,experimental-H groups compared withe model group were statistically significant(P＜0.01,P＜0.001).Conclusion YSSX can activate Keap1/Nrf2 signaling pathway and regulate the oxidative stress state of the organism,thus improving the renal injury caused by chemotherapy in mice.

Traditional Chinese medicine can regulate the hypoxia-inducible factor-1α(HIF-1α)signalling pathway and slow down tumour progression mainly by inhibiting tumour angiogenesis,glycolysis,epithelial mesenchymal transition and other pathological processes.This paper,starting from HIF-1α and related factors,reviews its pathological mechanism in tumours and the research of traditional Chinese medicine interventions with the aim of providing theoretical references for the treatment of tumours with traditional Chinese medicine.

Sodium-glucose co-transporter protein 2 inhibitor(SGLT2i)has steadily demonstrated benefits in the treatment of type 2 diabetes complicated with cardiovascular diseases based on evidence-based medicine,but its precise mechanism is yet unknown.We identified type 2 diabetes patients with HFpEF by searching PubMed,Web of Science,China knowledge network(CNKI),and other databases.We then summarized the pathological mechanism of HFpEF caused by type 2 diabetes.At the same time,to link to evidence-based medical,we explored the future of SGLT2i in clinical application.

Monosodium urate (MSU)-induced the gouty arthritis (GA) model was used to investigate the effect of Nod-like receptor protein 3 (NLRP3) inhibitor N14 in alleviating GA. Firstly, the effect of NLRP3 inhibitor N14 on the viability of mouse monocyte macrophage J774A.1 was examined by the cell counting kit-8 (CCK-8) assay. The expression of mature interleukin 1β (IL-1β) and cysteinyl aspartate specific proteinase-1 (caspase-1) p20 in the cell supernatant and the expression of NLRP3, caspase-1 and pro-IL-1β proteins in the cell lysates was detected by Western blot for the inhibitory effect of N14 on the MSU-induced NLRP3 inflammasome activation in J774A.1 cells. Animal behavioral tests were used to detect redness, swelling, heat and pain in mice with gouty arthritis. Hematoxylin-eosin (H&E) staining revealed pathologic changes and inflammatory infiltration in foot sections. Protein expression of NLRP3, caspase-1, and pro-IL-1β in mouse hind paw tissues were assessed by Western blot. The effect of N14 on the plasma levels of alanine transaminase (ALT), aspartate transaminase (AST), creatinine (CRE), urea, and uric acid (UA) was investigated by the MSU-induced gouty arthritis model in mice. All animal experiments in this paper were approved by the Scientific Ethics Review Board of Qingdao Marine Biomedical Research Institute (grant No. E-MBWNL-2024-20). The experimental results showed that N14 did not exhibit cytotoxicity in mouse monocyte macrophage J774A.1 cells at concentrations up to 100 μmol·L^-1, and N14 effectively prevented MSU-induced activation of NLRP3 inflammasome. In the mouse gouty arthritis model, N14 significantly ameliorated the redness, swelling, heat and pain caused by GA, and down-regulated the levels of NLRP3 inflammasome-associated proteins in mouse hind paw tissues. Meanwhile, N14 appeared to be well tolerated, as it did not significantly affect various biochemical indices in mouse plasma. In conclusion, N14 effectively alleviated GA in mice by inhibiting the NLRP3 inflammasome pathway, which is important for both prevention and treatment of related diseases.

BACKGROUND:Ferroptosis is strongly associated with the occurrence and progression of osteoarthritis,but the specific characteristic genes and regulatory mechanisms are not known. OBJECTIVE:To identify osteoarthritis ferroptosis signature genes and immune infiltration analysis using the WGCNA and various machine learning methods. METHODS:The osteoarthritis dataset was downloaded from the GEO database and ferroptosis-related genes were obtained from the FerrDb website.R language was used to batch correct the osteoarthritis dataset,extract osteoarthritis ferroptosis genes and perform differential analysis,analyze differentially expressed genes for GO function and KEGG signaling pathway.WGCNA analysis and machine learning(random forest,LASSO regression,and SVM-RFE analysis)were also used to screen osteoarthritis ferroptosis signature genes.The in vitro cell experiments were performed to divide chondrocytes into normal and osteoarthritis model groups.The dataset and qPCR were used to verify expression and correlate immune infiltration analysis. RESULTS AND CONCLUSION:(1)12 548 osteoarthritis genes were obtained by batch correction and PCA analysis,while 484 ferroptosis genes were obtained,resulting in 24 differentially expressed genes of osteoarthritis ferroptosis.(2)GO analysis mainly involved biological processes such as response to oxidative stress and response to organophosphorus,cellular components such as apical and apical plasma membranes,and molecular functions such as heme binding and tetrapyrrole binding.(3)KEGG analysis exhibited that differentially expressed genes of osteoarthritis ferroptosis were related to signaling pathways such as the interleukin 17 signaling pathway and tumor necrosis factor signaling pathway.(4)After using WGCNA analysis and machine learning screening,we obtained the characteristic gene KLF2.After validation by gene microarray,we found that the gene expression of KLF2 was higher in the test group than in the control group in the meniscus(P=0.000 14).(5)In vitro chondrocyte assay showed that type Ⅱ collagen and KLF2 expression was lower in the osteoarthritis group than in the control group in chondrocytes(P<0.05),while in osteoarthritis ferroptosis,mast cells activated was closely correlated with dendritic cells(r=0.99);KLF2 was closely correlated with natural killer cells(r=-1,P=0.017)and T cells follicular helper(r=-1,P=0.017).(6)The findings indicate that using WGCNA analysis and machine learning methods confirmed that KLF2 can be a characteristic gene for osteoarthritis ferroptosis and may improve osteoarthritis ferroptosis by interfering with KLF2.

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 latent classes of mental workload and related factors among cardiovascular nurses.Methods A convenience sample of 664 cardiovascular nurses were surveyed from Jun to Jul 2023.General information questionnaire,the Nurse Workload Index Scale and the Nursing Interruption Event Scale were conducted in the investigation.Latent class analysis and multiple Logistic regression analysis were employed to analyze the latent classes of nurses'mental workload and its related factors.Results Two latent classes were identified,named low mental workload group(25.90%)and a high mental workload group(74.10%).Multiple Logistic regression analysis revealed that educational qualifications(OR=1.641,95%CI:1.036-2.598),nursing interruption event scores(OR=1.060,95%CI:1.044-1.076),and the region of nurses(OR=0.688,95%CI:0.542-0.874)were the influencing factors for cardiovascular nurses'mental workload.Conclusion There are obvious categorical characteristics of cardiovascular nurses'mental workload,nurses with higher education,frequent interruption events,and from the eastern region have higher mental workload.Nursing managers need to focus on human resource allocation and optimize processes to reduce the occurrence of nursing interruptions.

Objective To evaluate the predictors of biochemical recurrence after laparoscopic radical prostatectomy.Methods The study cohort consisted of 416 consecutive prostatecancer patients who underwent radical prostatectomy in Zhongshan Hospital,Fudan University between Jan 2016 and Jun 2018.No patient received adjuvant therapy until documented biochemical recurrence.Biochemical recurrence-free survival(BCRFS)was estimated using the Kaplan-Meier method.Univariable and multivariable Cox proportional hazards regression models were utilized to determine variables predictive of biochemical recurrence.Results The median follow-up period was 174 weeks(inter quartile range 133-209 weeks).The overall biochemical recurrence rate was 21.39%(88/416).The time to biochemical recurrence was(51.11±47.71)weeks.Until the end of follow-up,the biochemical recurrence rates were 10%(1/10),6.12%(3/49),16.41%(43/262)and 43.16%(41/95)for low-risk,medium-risk,high-risk and locally advanced prostate cancer,respectively.On multivariable analysis,tumor invasion of the seminal vesicles(HR:2.119,95%CI:1.154-3.891,P=0.016);Seminal vesicle invasion(HR:1.824,95%CI:1.034-3.220,P=0.038),Gleason score≥8(HR:2.746,95%CI:1.268-5.943,P=0.010),prostate-specific antigen(PSA)=10-20 ng/mL(HR:4.240,95%CI:2.550-7.050,P<0.001);PSA>20 ng/mL(HR:6.341,95%CI:3.296-12.202,P<0.001)were the main predictors of biochemical recurrence.Conclusion Laparoscopic radical prostatectomy provides effective control of biochemical recurrence during the mid-term follow-up period.Tumor invasion of the seminal vesicles,seminal vesicle invasion,GS≥8,PSA=10-20 ng/mL,PSA>20 ng/mL were important predictors of biochemical recurrence after radical prostatectomy.