ObjectiveTo analyze the epidemiological characteristics of 8 major respiratory pathogens in influenza-like illness (ILI) cases with acute respiratory infections at fever clinics in Huangpu District, Shanghai from 2015 to 2024, and to provide a scientific basis for the prevention and treatment of respiratory diseases. MethodsA retrospective study was conducted in Huangpu District. Individuals meeting the case definition of ILI from 2015 to 2024 was registered. Their nasopharyngeal swabs were collected for pathogen detection. A total of 8 respiratory viruses were tested, including Influenza A virus (Flu A), Influenza B virus (Flu B), adenovirus (ADV), enterovirus/human rhinovirus (EV/HRV), human parainfluenza virus (HPIV), human coronavirus (HCoV), respiratory syncytial virus (RSV), and human metapneumovirus (HMPV). ResultsFrom 2015 to 2019, a total of 344 ILI cases were tested, of which 192 out of 344 cases (55.81%) were tested positive for single respiratory pathogen. From 2023 to 2024, 1 557 ILI cases were tested, with 572 out of 1 557 cases (36.74%) being positive for single pathogen. From 2023 to 2024, the positive rate of single pathogen in ILI cases was significantly lower than that in 2015‒2019 (χ²=42.66, P<0.001). Specifically, the positive rate of Flu A (χ²=74.43, P<0.001) decreased, while that of HPIV (χ²=8.66, P=0.003) increased, both with statistically significant differences. According to the seasonal pattern, the epidemic intensity of Flu A decreased in summer, while that of HPIV increased in summer and autumn. Demographic results showed statistically significant differences in the positive rates of EV/HRV between genders (χ²=22.38, P<0.001), with males exhibiting a higher positive rate than females. No statistically significant differences were identified in the positive rates of single pathogen among different age groups (χ²=4.42, P=0.110). Nevertheless, statistically significant differences were noted when comparing the positive rates of EV/HRV, Flu A, Flu B and HPIV across different age groups (P<0.05). EV/HRV was more commonly detected in the 15‒<25 age group (10.93%), while Flu A and HPIV had the highest positive rates in the ≥60 age group (21.24% and 4.77%). Flu B had the highest positive rate in the 25‒<60 age group (11.26%). 52.63% of cases with co-infections occurred during winter, with the primary pathogens involved being EV/HRV (9 cases) and HCoV (6 cases). The most prevalent combination of co-infection was Flu A with EV/HRV. ConclusionThe prevalence of respiratory pathogens among ILI cases from 2023 to 2024 exhibited notable fluctuations compared to that from 2015 to 2019. Therefore, influenza surveillance should be strengthened, and attention should also be paid to the prevalence of respiratory pathogens such as HPIV. These findings have profound implications for future research, surveillance, vaccine planning, and public health policy making.

ObjectiveTo investigate the T lymphocyte subset levels and viral loads in newly human immunodeficiency virus (HIV) antibody-confirmed positive cases in Suzhou (2021‒2024), and to analyze potential influencing factors by integrating their demographic characteristics, immune status, and viral replication patterns, thereby providing evidence for HIV/acquired immune deficiency syndrome (AIDS) prevention and control. MethodsPeripheral whole blood samples were collected from newly confirmed HIV-positive cases in Suzhou from 2021 to 2024. T lymphocyte subset analysis and viral load testing were performed, and influencing factors were identified in combination with demographic characteristics. Logistic regression models were employed to identify factors associated with CD4⁺T lymphocyte counts ≤350 cells·μL^-1, and Spearman’s rank correlation test was used to analyze the correlation between logarithmic value of viral load and CD4⁺/CD8⁺ ratio. ResultsAmong the 3 022 confirmed HIV-positive samples, the median CD4⁺T lymphocyte count was 298.00 cells·μL^-1, with 882 cases (29.19%) showing CD4⁺ T lymphocyte counts <200 cells·μL^-1. The median CD8⁺T lymphocyte count was 1 011.00 cells·μL^-1. The median CD4⁺/CD8⁺ ratio was 0.28, with 32.46% of cases exhibiting CD4⁺/CD8⁺ ratios <0.20, and there were statistically significant differences in CD4⁺/CD8⁺ ratio among different genders, age groups, marital status, and sample sources (all P<0.05). Multivariate logistic regression analyses indicated that individuals aged ≥20 years, those who were divorced or widowed, and cases identified through medical institutions had a significantly higher proportion of CD4⁺T lymphocyte counts ≤350 cells·µL⁻¹ compared to those aged <20 years, unmarried individuals, and cases sourced from voluntary counseling and testing (VCT) clinics, respectively. The mean logarithmic value of viral load was (4.29±1.15) copies·mL^-1. The logarithmic value of viral load demonstrated a significantly negative correlation with both CD4⁺/CD8⁺ ratio (r=-0.43, P<0.001) and CD4⁺T lymphocyte count (r=-0.37, P<0.001). ConclusionA substantial proportion of newly diagnosed HIV/AIDS cases in Suzhou are late presenters with high viral load levels. Targeted interventions should prioritize high-risk populations through enhanced active surveillance and the implementation of combined T lymphocyte subsets analysis and viral load testing, which can enable earlier case-finding and timely antiretroviral therapy initiation.

Objective: To investigate the indoor fine particulate matter (PM 2.5 ) pollution and its influencing factors in children s bedrooms using solid fuel, so as to provide evidence for effective strategy to reduce PM 2.5 pollution. Methods: From December 2019 to November 2020, 198 households (108 in the north, 90 in the south) from two pilots in the north(Jiamusi in Heilongjiang Province) and south of China (Mianyang in Sichuan Province) were selected, and status of solid fuels using were obtained through home visits, dynamic changes in PM 2.5 concentrations in children s bedrooms were monitored by using real time online instruments, and the influencing factors of PM 2.5 pollution were analyzed by using a mixed effects model. Results: During the monitoring period, the daily PM 2.5 concentrations in the northern and southern pilot were 78.33 (40.50, 154.80) and 38.54(26.20, 58.46) μg/m 3, respectively, exceeding standard rates of 44.57% and 33.22%. During the heating period, the daily PM 2.5 concentrations in the northern and southern pilot were 212.50(133.60,244.10) and 104.42(73.97, 134.90) μg/m 3, respectively, with over standard rates of 96.75% and 86.96%. The mixed effects model analysis results showed that children s bedroom PM 2.5 concentrations were associated with solid fuel usage duration, window opening time, room layout (shared entrance door between kitchen and bedroom), indoor smoking, indoor humidity, and solid fuel use in the bedroom ( β =0.19, -0.05, 1.20, 0.43, 0.02, 0.35, all P <0.05). Conclusion Solid fuel combustion significantly comtributes to PM 2.5 pollution in children s bedrooms, with more pronounced impacts observed in northern China compared to southern regions.

Objective To explore the thoughts and experiences of exercise adherence in breast cancer patients undergoing endocrine therapy,aims to provide reference for targeted intervention.Methods Employing purposive sampling,a descriptive qualitative study was conducted from Octomber 2023 to November 2024,and 24 breast cancer patients receiving endocrine therapy who visited a tertiary-level hospital in Tianjin,China,were selected for semi-structured in-depth interviews.The data was analyzed through traditional content analysis to extract themes.Results 3 primary themes and 6 sub-themes were identified,including sense of benefits from exercise(including physical benefits and psychological well-being),factors influencing exercise adherence(barriers and facilitators),and supportive needs for exercise adherence(including professional support and guidance,as well as emotional support and companionship).Conclusion Healthcare providers should consider the influencing factors,supportive needs of behavior change,and exercise experiences of breast cancer patients receiving endocrine therapy.Developing targeted exercise rehabilitation programs to address these needs could enhance exercise adherence.

Objective To explore the mechanism of Quhan Zhufeng Mixture on proliferation and apoptosis of rheumatoid arthritis fibroblast-like synoviocyte(RA-FLS)based on NDRG2/JAK2/STAT3 signaling pathway.Methods RA-FLS cells were cultured in vitro,and were divided into ① blank serum group,methotrexate group,Quhan Zhufeng Mixture low-,medium-and high-dosage groups;② blank serum group,AG490 group,Quhan Zhufeng Mixture low-,medium-and high-dosage groups.Different concentrations of drug-containing serum were used to intervene cells.Cell proliferation was detected by CCK-8 method,apoptosis was detected by flow cytometry,and mRNA expressions of Bax,Bcl-2,Caspace-3,Caspace-9,N-myc downstream regulatory gene 2(NDRG2),Janus kinase 2(JAK2)and signal transduction and transcription activator 3(STAT3)were detected by RT-qPCR,Western blot was used to detect the protein expressions of Bax,Bcl-2,Caspace-3,Caspace-9,NDRG2,JAK2,STAT3,p-JAK2 and p-STAT3 in cells.Results Compared with the blank serum group,cell survival rate in methotrexate group,Quhan Zhufeng Mixture all dosage groups significantly decreased(P<0.01),the apoptosis rate significantly increased(P<0.01),the mRNA and protein expressions of Bax and Caspase-9 significantly increased(P<0.05,P<0.01),while the mRNA and protein expression of Bcl-2 significantly decreased(P<0.01),and Caspase-3 mRNA and protein expression in methotrexate group and Quhan Zhufeng Mixture medium-and high-dosage groups significantly increased(P<0.01).Compared with the blank serum group,the mRNA and protein expression of NDRG2 significantly increased in Quhan Zhufeng Mixture all dosage groups(P<0.05,P<0.01),the mRNA and protein expressions of JAK2 and STAT3 were significantly reduced in AG490 group and Quhan Zhufeng Mixture medium-and high-dosage groups(P<0.05,P<0.01),and the expressions of p-JAK2 and p-STAT3 proteins were significantly reduced(P<0.01).Conclusion Quhan Zhufeng Mixture can regulate the proliferation and apoptosis of RA-FLS by regulating the activity of NDRG2/JAK2/STAT3 signaling pathway,playing a role in treating rheumatoid arthritis.

Objective To investigate the correlation between serum uric acid(SUA)levels and incident chronic kidney disease(CKD)in middle-aged and elderly Chinese population and gender differences.Methods Based on the longitudinal survey data of China Health and Retirement Longitudinal Study from 2011 to 2015,the CKD-Epidemiology Collaboration cystatin C formula was used to estimate the glomerular filtration rate(eGFR),and 4 119 participants with normal renal function(eGFR≥60 mL·min-1·1.72 m-2)at baseline were included.Incident CKD was defined as eGFR<60 mL·min-1·1.72 m-2 at the follow-up in 2015.Logistic regression analysis was used to analysis the association of SUA levels at baseline and incident CKD among different genders.Restricted cubic spline analysis was used to analyze the dose-response relationship.Results After 4-year follow-up,127 participants developed incident CKD,including 57 males and 70 females.Multivariate Logistic regression analysis showed that elevated SUA levels were independently associated with the risk of incident CKD(OR=1.532,P<0.001).For each 1 mg/dL increase in SUA,the risk of incident CKD increased by 33.6%in males(OR=1.336,P=0.012)and 77.5%in females(OR=1.755,P<0.001).Restricted cubic spline analysis showed a linear positive correlation between SUA levels and incident CKD in both males and females.Participants were divided into four groups according to SUA quartiles(Q1-Q4).Multivariate Logistic regression analysis indicated a significant increase in the risk of incident CKD in Q3 group(3.75 mg/dL4.43 mg/dL)compared with Q1 group in females(Q3 group:OR=2.571,P=0.045;Q4 group:OR=3.666,P=0.005).Conclusion SUA is an independent risk factor for incident CKD in the middle-aged and elderly population.In females,serum uric acid levels exceeding 3.75 mg/dL are associated with an increased risk of incident CKD.

Objective To study the influence of stent and balloon shape on hemodynamics in tapered vessels with multiple stenosis.Methods The hemodynamic model was established after the implantation of vascular stent in tapered vessel with multiple stenosis.The numerical simulation method was used to study the effect of the combination of different shaped stents and balloons on postoperative hemodynamics.Results When the cylindrical stent was expanded using the cylindrical balloon and tapered balloon respectively,compared with cylindrical balloon expansion,the proportion of low-speed blood flow area generated by tapered balloon expansion was reduced by 0.58％,and the proportion of low time-averaged wall shear stress(TAWSS)area was reduced by 3.22％.The use of tapered balloon for expansion could produce less low-speed blood flow and low TAWSS area.When tapered balloon was used to expand the cylindrical stent and tapered stent respectively,compared with expanding tapered stent,the proportion of low-speed blood flow area generated by expanding cylindrical stent decreased by 1.35％,and the proportion of low TAWSS area decreased by 9.73％.Conclusions The hemodynamic environment of tapered vessel with multiple stenosis was influenced by the shape of stent and balloon.The use of tapered balloon to expand the cylindrical stent in tapered vessels with multiple stenosis can achieve favorable hemodynamic environment and reduce the risk of ISR occurence.This study can provide a scientific basis for the rational formulation of clinical intervention scheme.

Objective:To analyze the association of apolipoprotein E(ApoE),soluble semaphoring 4D(sSema4D),and cyclophilin A(CypA)levels with unfavorable outcome in patients with chronic heart failure(CHF).Methods:We retrospectively enrolled 108 patients with CHF admitted in the Fifth Affiliated Hospital of Zhengzhou Universi-ty between March 2019 and March 2022.According to the outcome during 6-month follow-up,patients were di-vided into favorable outcome group(n=71)and unfavorable outcome group(n=37).ApoE,sSema4D and CypA levels were compared between the two groups,and multivariate Logistic regression was employed to identify the risk factors of unfavorable outcome within 6-month follow-up in CHF patients.Results:Compared to patients in the favorable outcome group,those in the unfavorable outcome group had significant higher proportion of NYHA classⅣ(59.46％vs.25.35％),serum creatinine[(80.74±3.89)μmol/L vs.(71.36±3.63)μmol/L],ApoE[(69.87±4.25)mg/L vs.(47.36±3.17)mg/L],sSema4D[(916.62±7.32)ng/L vs.(426.42±6.25)ng/L]and CypA[(6.74±1.32)ng/L vs.(4.38±0.72)ng/L](P＜0.001 all).Multivariate Logistic regression indicated that NY-HA class Ⅳ(OR=2.782,95％CI 1.166～6.636),serum creatinine(OR=29.893,95％CI 6.782～131.768),ApoE(OR=12.046,95％CI 4.694～30.913),sSema4D(OR=8.390,95％CI 2.260～31.146)and CypA(OR=6.486,95％CI 1.780～23.635)were independent risk factors for unfavorable outcome within 6-month follow-up in CHF patients(P＜0.05 or＜0.01).Conclusion:The levels of ApoE,sSema4D and CypA were closely associated with short-term unfavorable outcome in patients with chronic heart failure.

Objective:Analyze the risk factors for acute lung injury of postoperative acute lung injury(ALI)in patients with Stanford type A aortic dissection(STAAD),and construct a nomogram predictive model.Methods:A retrospective cohort study design was adopted.A total of 112 patients with STAAD who underwent surgical treatment in our hopital from January 2021 to August 2024 were included.They were divided into two groups according to the occurrence of ALI after the surgical:non-ALI group(73 cases)and ALI group(39 cases).Clinical data were collected from both groups of patients.The influencing factors of postoperative ALI in patients with STAAD were analyzed by multivariate logistic regression.Established nomogram prediction model based on influencing factors and validated.Results:Among 112 patients with STAAD who underwent surgical treatment,39 case postoperative ALI occurred,with an incidence rate of 34.82％.Age,preoperative creatinine,body mass index(BMI),preoperative white blood cell count,preoperative lactate and other aspects compared,The difference were statistically significant(P＜0.05).The length of stay in the intensive care unit(ICU)of the ALI group was longer than that of the non ALI group(P＜0.05).The intraoperative red blood cell transfusion volume and extracorporeal circulation time in the ALI group were higher than those in the non ALI group(P＜0.05).Long intraoperative cardiopulmonary bypass time,high BMI,high intraoperative red blood cell transfusion volume and high preoperative white blood cell count were risk factors for postoperative ALI(P＜0.05).The receiver operating characteristic(ROC)curve analysis results show that,the Area under the curve(AUC)of the nomogram prediction model was 0.871.When the optimal critical value was 0.472,its sensitivity and specificity wew 0.887 and 0.776,respectively.The internal validation results of Bootstrap show that,the C-index of the column chart prediction model was 0.862,with an absolute error of 0.032.The calibration curve is close to the ideal curve and the original curve,with a slope close to 1.Conclusions:Long intraoperative cardiopulmonary bypass time,high BMI,high intraoperative red blood cell transfusion volume and high preoperative white blood cell count are independent risk factors for postoperative ALI in patients with STAAD.The nomogram model constructed based on the above risk factors can effectively evaluate the risk of postoperative ALI in patients with STAAD.

Objective:To investigate the predictive efficacy of Delta radiomics for the patholo-gical complete remission (pCR) of pancreatic cancer after total neoadjuvant therapy (TNT).Methods:The retrospective cohort study was conducted. The clinicopathological data of 263 patients with pancreatic cancer who were admitted to Henan Provincial People′s Hospital (Zhengzhou University People's Hspital) from January 2019 to September 2024 were collected. There were 166 males and 97 females, aged (56±12)years. All patients underwent TNT. The 263 patients were randomly divided into a training set of 184 cases and a test set of 79 cases using a 7∶3 random seed count. The training set was used to construct the prediction model, and the test set was used to validate the performance of the prediction model. Observation indicators: (1) postoperative and follow-up condi-tions; (2) imaging feature selection and model construction; (3) evaluation of predictive efficacy of different radiomic models. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. The Kaplan-Meier method was used to calculate the survival rate and draw survival curve. The Log-rank test was used for survival analysis. The perfor-mance of the prediction model for pCR after TNT was evaluated using the receiver operator charac-teristic (ROC) curve, precision-recall (P-R) curve and Bootstrap method, along with the calculation of area under the curve (AUC), precision rate, recall rate, F1-score. Results:(1) Postoperative and follow-up conditions. All 263 patients underwent surgery after TNT, with pathological examination revealing 124 cases of pCR (86 cases in the training set, 38 cases in the test set) and 139 cases of non-pCR (98 cases in the training set, 41 cases in the test set), respectively. All 263 patients were followed up for 6(range, 3-12) months after surgery, of which 15 cases (4 cases of pCR and 11 cases of non-pCR) were lost to follow-up or died due to non-tumor reasons within 6 months after surgery. The postoperative 6-month recurrence-free survival rate of 124 pCR patients and 139 non-pCR patients were 80% and 50%, respectively, showing a significant difference between the two groups of patients ( χ2=22.84, P<0.05). (2) Imaging feature selection and model construction. Construction of the traditional radiology model: based on the response evaluation criteria in solid tumors 1.1, the Logistic regression model was constructed using the relative shrinkage (D%) as a predictive variable. The AUC of traditional radiology model was 0.72 [95% confidence interval ( CI) as 0.63?0.81] in the training set and 0.75 (95% CI as 0.66?0.84) in the test set, respectively. Construction of the Delta radiomics model: 10 non-zero coefficient features were selected. The Delta radiomics models were constructed by using the regularized Logistic regression, random forest, gradient boosting machine, and support vector machine algorithms through using selected features as input variables. (3) Evaluation of predictive efficacy of different radiomic models. The AUC of Delta radiomics model constructed by regularized Logistic regression algorithm in the test set for predicting pCR in pancreatic cancer after TNT was 0.90, higher than that of the random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm (AUC as 0.81, 0.81, 0.83), and higher than that of the traditional radiology model (AUC as 0.72). Results of Bootstrap method revealed significant differences in the predictive efficacy of Delta radiomics model constructed by regularized Logistic regression algorithm compared to the Delta radiomics model constructed by random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm and the tradi-tional radiology model (95% CI as 0.03?0.16, 0.03?0.16, 0.03?0.13, 0.08?0.29, P<0.05). The regularized Logistic regression algorithm within the Delta radiomics model demonstrated the best overall performance among the above models evaluated. Conclusion:Compared to the traditional radiology model, the Delta radiomics model offers superior efficacy in predicting pCR of pancreatic cancer after TNT, in which the regularized Logistic regression algorithm demonstrates the best overall performance metrics.