ObjectiveTo analyze the epidemiological characteristics of 21 respiratory pathogens in influenza-like illness (ILI) cases in Jing’an District, Shanghai in 2024, and to provide a scientific basis for the prevention and control of respiratory infectious diseases. MethodsData of1 907 ILI cases at four sentinel hospitals in Jing’an District were collected from January to December 2024. Nasopharyngeal swab samples were collected and tested for 21 respiratory pathogens using polymerase chain reaction (PCR) methods. Chi-square test and Cochran-Armitage trend test were used for data analyses. ResultsAmong the 1 907 ILI cases, 1 340 were tested positive (70.27%), including 1 160 (60.83%) virus-positive cases, 424 (22.23%) bacteria-positive cases , and 86 (4.51%) positive cases of other pathogens (fungi, mycoplasma, and chlamydia). The top five viruses by detection rate were: influenza virus (14.84%), SARS-CoV-2 (14.47%), rhinovirus (12.69%), adenovirus (7.08%), and parainfluenza virus (6.71%). The top two bacteria by detection rate were Streptococcus pneumoniae (14.47%) and Haemophilus influenzae (10.33%). Among other pathogens (fungi, mycoplasma, and chlamydia), Mycoplasma pneumoniae showed the highest detection rate (4.30%). In terms of age distribution, statistically significant differences were observed in the detection rates of SARS-CoV-2, Legionella, and Klebsiella pneumoniae (P<0.05), with the highest rates found in individuals aged 65 years and above. Statistically significant differences were also found in the detection rates of rhinovirus, adenovirus, enterovirus, common coronavirus, respiratory syncytial virus, bocavirus, parainfluenza virus, human metapenu-movirus, Streptococcus pneumoniae, Haemophilus influenzae, and Mycoplasma pneumoniae among different age groups (P<0.05), all showing the highest detection rates in the 0‒<15 years age group. In terms of seasonal distribution, SARS-CoV-2, adenovirus, parainfluenza virus, enterovirus, Streptococcus pneumoniae, Haemophilus influenzae, and Mycoplasma pneumoniae showed epidemic peaks in summer; rhinovirus, common coronavirus, bocavirus, and Klebsiella pneumoniae had higher detection rates in autumn. Influenza virus exhibited a peak incidence during winter, while human metapenu-movirus peaked in winter and spring. Significant differences in co-infection detection rates were observed among age groups, with the rate in children aged 0‒<15 years (34.81%) being the highest. The co-infection detection rate was higher in males than in females (P=0.019). Both the single-pathogen detection rate and the co-infection detection rate (P<0.001) varied significantly across seasons: the single-pathogen detection rate was highest in winter (62.06%), while the co-infection detection rate peaked in summer (31.20%) and was lowest in winter (14.52%). ConclusionBased on detection rates, the main pathogens in the ILI population of Jing’an District, Shanghai, 2024 were influenza virus, SARS-CoV-2, rhinovirus, adenovirus, parainfluenza virus, common coronavirus, enterovirus, Human metapenu-movirus, Streptococcus pneumoniae, Haemophilus influenzae, and Mycoplasma pneumoniae. Pathogen detection rates varied by age and season. Coinfection rates were much higher in children than in adults, higher in males than in females, and peaked in summer while being lowest in winter.

Objective This study aimed to construct a risk scoring model based on DNA methylation featuresof ferroptosis-related gene,and systematically evaluate its predictive value for the prognosis and immunotherapy response of patients with colon canc-er.Methods Transcriptomic,DNA methylation,and clinical data of colon cancer patients were obtained from the Cancer Genome At-las(TCGA)and Gene Expression Omnibus(GEO)databases.Ferroptosis-related genes were identified from the FerrDb database.Fer-roptosis scores(FS)for each patient were calculated using the single-sample gene set enrichment analysis(ssGSEA)method,and con-struct a risk scoring model by combining differential methylation CpG sites with Cox regression analysis.The prognostic performance of the model was evaluated using receiver operating characteristic(ROC)curves,a nomogram,and decision curve analysis.The multiple algorithms were used to analyze the relationship between colon cancer models and immune cell infiltration,immunotherapy response,and chemotherapy sensitivity.Results A total of 49 ferroptosis-related genes significantly associated with overall survival(OS)were identified for calculating FS.The OS of colon cancer patients in the high-FS group was significantly shorter than that in the low-FS group(P=0.0075).The constructed DNA methylation risk score models included key CpG sites,and the ROC curves and multivariate Cox regression analysis at 1-,3-,and 5-years overall survival rate in the TCGA cohort and the GSE17536 validation cohort showed that the model was an independent prognostic factor for colon cancer patients.The low-risk group had higher immune scores and infil-tration levels of B cells and dendritic cells,while the high-risk group had a higher abundance of fibroblasts.Patients in the high-risk group showed upregulation of PD-L1 expression and higher immune phenotype scores.In addition,the model could also predict the sensitivity differences of commonly used chemotherapeutic drugs such as doxorubicin,gemcitabine,and paclitaxel.Conclusion The risk scoring model established using DNA methylation features of ferroptosis-related gene can be used to predict the prognosis of colon cancer patients and provide a new biomarker for achieving precision treatment.

Objective:To investigate the differential impact of ultra-high-resolution photon-counting detector CT (UHR PCD-CT) and energy-integrating detector CT (EID-CT) on image quality and calcified plaque-induced luminal stenosis in coronary CT angiography (CCTA).Methods:This retrospective analysis was conducted on patients who underwent both EID-CT and UHR PCD-CT CCTA at the Geriatric Hospital of Nanjing Medical University between January 2021 and November 2024. A total of 141 patients were included in the study, within 46 patients having scans within a 12-month interval. Image quality of all coronary artery segments was subjectively evaluated. Patients with paired scans (interval≤12 months) were included for calcified plaque analysis. Subjective visualization of calcified plaques evaluated. The blooming artifact was calculated as an objective evaluation index for assessing the calcified plaques. Additionally, the degree of coronary artery lumen stenosis resulting from calcified plaques was assessed, along with the measurement of plaque volume and the Agatston score. Changes in lumen stenosis between the two scans were also evaluated. The Wilcoxon signed-rank test was used to compare the subjective scores of coronary artery image quality and calcified plaques between the two groups, and paired-sample t-tests were used to compare the blooming artifact and lumen stenosis degree. Results:The PCD-CT image quality score was significantly higher than that of EID-CT [PCD-CT : 5 (4,5), EID-CT: 4 (4,5); Z=-21.38, P<0.001]. Compared to EID-CT, PCD-CT reduced the blooming artifact (PCD-CT: 38.88%±9.09%, EID-CT: 50.11%±11.52%; t=-12.97, P<0.001), significantly improving the subjective score for visualization of calcified plaques [PCD-CT: 5 (4,5), EID-CT: 3 (2,3); Z=-9.68, P<0.001], and the measured lumen stenosis was notably lower in PCD-CT(PCD-CT:34.88%±18.20%, EID-CT:45.31%±23.42%; t=-9.93, P<0.001). Among 129 analyzed calcified plaques, luminal stenosis was reduced on PCD-CT in 110 plaques (85.3%) and increased in 19 (14.7%), including 4 plaques that had unclear boundaries with the adjacent lumen in EID-CT CCTA images, making the stenosis difficult to assess. Conclusion:Compared to EID-CT, UHR PCD-CT for CCTA significantly improves coronary artery image quality, provides clearer visualization of calcified plaques and adjacent lumen details, and it can reduce the overestimation of coronary artery caleified plaque stenosis.

Objective:To describe the prevalence of anxiety disorders and its distribution in Inner Mongolia Autonomous Region,and to explore the relevant factors of anxiety disorders.Methods:From June 2019 to Decem-ber 2019,representative multi-stage disproportionate stratified sampling procedure was used to sample in residents aged 18 and over in the Inner Mongolia Autonomous Region.All respondents were face-to-face interviewed by trained interviewers.Composite International Diagnostic Interview-3.0(CIDI-3.0)was used to diagnose anxiety disorders according to the criteria and definition of the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ).Chi-square test and multivariate logistic regression analysis were used for statistical anal-ysis.Results:Totally 12 315 people were interviewed in the survey.The weighted 12-mouth prevalence rate of any anxiety disorder was 4.64％,and the lifetime prevalence rate was 6.25％.The weighted 12-month prevalence rate of anxiety disorders was higher in female than that in male(5.38％vs.3.92％).The rate was higher in rural resi-dents than that in urban residents(5.67％vs.3.95％).The rate was higher in people with chronic diseases than that in people without chronic diseases(6.81％vs.2.29％).Logistic regression analysis showed that unmarried(OR=2.32,95％CI:1.31-4.10),separated/divorced(OR=2.49,95％CI:1.33-4.67),in debt(OR=1.55,95％CI:1.04-2.32),chronic disease(OR=2.22,95％CI:1.39-3.53),family history of anxiety disorders(OR=12.05,95％CI:8.78-16.53),poor sleep(OR=2.64,95％CI:1.97-3.54)were risk factors of occurrence of anxiety disorders,while junior high school(OR=0.65,95％CI:0.44-0.96)was protective factor of anxiety disor-ders.Conclusion:Adults with chronic diseases,poor sleep,unmarried or separated/divorced,family history of anxi-ety disorders,and financial debt are at higher risk groups of anxiety disorder in Inner Mongolia Autonomous Re-gion.

Objective:To describe the prevalence and distributions of mood disorder in Inner Mongolia Au-tonomous Region,and analyze the related risk factors.Methods:The multistage stratified sampling method with un-equal probability was used to select permanent residents aged 18 years and over in Inner Mongolia Autonomous Re-gion.The Composite International Diagnostic Interview 3.0 was used as a diagnostic tool.Mood disorders were di-agnosed according to the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition(DSM-Ⅳ).Single and multivariate analyses were used to investigate the related factors of mood disorders.Results:Totally,12 315 community residents were interviewed in the survey.The weighted 12-month prevalence and lifetime prevalence of mood disorder were 5.4％and 8.7％,respectively.Weighted 12-month prevalence of depressive disorder was 4.9％,and that of bipolar disorder was 0.3％.Among all subtypes of mood disorder,the 12-month prevalence rate of major depressive disorder(3.1％)was the highest.Multivariate logistic regression analysis showed that female,unmarried,separated or divorced,unemployment,family history,other mental disorders,sleep disorders and chronic diseases(OR=1.56,2.80,2.07,1.42,13.46,7.97,3.23,2.13)were risk factors of mood disorder,while aged 65 years and over(OR=0.44)was protective factor of mood disorders.The lifetime consultation rate in patients with mood disorders was 15.5％,the rate of psychiatric consultation was 3.7％,the rate of medication was 1.8％.Con-clusion:It indicates that female residents and people who are unmarried,separated and divorced,unemployed,with family history,suffering from other mental disorders,suffering from sleep disorders,and suffering from chronic dis-eases may be high risk groups of mood disorders,and the utilization rate of health services is rather low in Inner Mongolia Autonomous Region.

Objective:To observe any effect of supplementing rehabilitation training with low-frequency repetitive transcranial magnetic stimulation (rTMS) on the abnormal spine posture of Parkinson′s disease (PD) patients.Methods:A total 40 PD patients with Pisa syndrome (PS) were randomly divided into an observation group and a control group, each of 20. Both groups received conventional drug therapy and rehabilitation training (including myodynamia training and balance function training), while the observation group was additionally provided with low-frequency rTMS of the primary motor cortical area (M1) on the convex side of the scoliosis. Before the treatment and after 2 and 3 weeks, the scoliosis angle was measured, and motor functioning and balance were evaluated using the timed up and go test (TUGT) and the Berg balance scale (BBS). The subjects′ mental state was quantified using the exercise self-efficacy (ESE) scale, and the modified Barthel Index (MBI) was used to quantify their ability in the activities of daily life.Results:After the treatment, significant improvement was observed in the average scoliosis angles, TUGT, BBS, ESE and MBI scores of both groups compared to the pre-treatment levels. In the control group, all of the indicators had returned to their pre-treatment levels 3 weeks after treatment, but in the observation group they remained significantly improved.Conclusions:Low-frequency rTMS combined with rehabilitation training can significantly reduce the scoliosis angle of PD patients, improve their motor functioning and balance, increase their exercise confidence and improve their ability in the activities of daily living over the long term. The combination is worth applying and promoting in clinical practice.

Objective:To observe any effect of combining transcranial magnetic stimulation (rTMS) with aerobic exercise on the cognitive functioning of early stage Parkinson′s disease (PD) patients.Methods:A total of 120 PD patients in the early stage were randomly divided into an observation group and a control group, each of 60. Both groups received conventional drug treatment and moderate-intensity aerobic exercise training, while the observation group was additionally provided with high-frequency rTMS treatment. Before and after 3 months of the treatments, everyone′s cognitive and motor functioning was evaluated using the Montreal Cognitive Assessment Scale (MoCA) and the third part of the Unified Parkinson′s Disease Rating Scale (UPDRS-Ⅲ), respectively. Negative emotions were evaluated using the Hamilton Anxiety Scale (HAMA) and the Hamilton Depression Scale (HAMD). Auditory event-related potentials were also detected, and the latency and amplitude of P300 were analyzed.Results:The average MoCA, UPDRS-Ⅲ, HAMA and HAMD scores, as well as the amplitude and latency of P300 had improved significantly in both groups after the treatment. At that point the observation group′s performance was significantly better than that of the control group in terms of the MoCA′s visuospatial and executive function, attention and delayed recall indicators, and also total score. The observation group′s average HAMA score (10.55±3.11), HAMD score (9.78±4.10), the P300 amplitude [(11.29±2.21)μV] and latency [(384.75±48.26)ms] were also significantly better. The UPDRS-Ⅲ scores were negatively correlated with the visuospatial and executive function scores of the MoCA scale in the observation group before and after treatment, while the average HAMA score was negatively correlated with the attention and delayed recall scores.Conclusions:Supplementing aerobic exercise with rTMS can significantly improve the cognition and motor functioning of early stage PD patients. The combination is more effective than aerobic exercise alone. Such combined therapy is worthy of popularization and clinical application.

Objective This study aimed to construct a risk scoring model based on DNA methylation featuresof ferroptosis-related gene,and systematically evaluate its predictive value for the prognosis and immunotherapy response of patients with colon canc-er.Methods Transcriptomic,DNA methylation,and clinical data of colon cancer patients were obtained from the Cancer Genome At-las(TCGA)and Gene Expression Omnibus(GEO)databases.Ferroptosis-related genes were identified from the FerrDb database.Fer-roptosis scores(FS)for each patient were calculated using the single-sample gene set enrichment analysis(ssGSEA)method,and con-struct a risk scoring model by combining differential methylation CpG sites with Cox regression analysis.The prognostic performance of the model was evaluated using receiver operating characteristic(ROC)curves,a nomogram,and decision curve analysis.The multiple algorithms were used to analyze the relationship between colon cancer models and immune cell infiltration,immunotherapy response,and chemotherapy sensitivity.Results A total of 49 ferroptosis-related genes significantly associated with overall survival(OS)were identified for calculating FS.The OS of colon cancer patients in the high-FS group was significantly shorter than that in the low-FS group(P=0.0075).The constructed DNA methylation risk score models included key CpG sites,and the ROC curves and multivariate Cox regression analysis at 1-,3-,and 5-years overall survival rate in the TCGA cohort and the GSE17536 validation cohort showed that the model was an independent prognostic factor for colon cancer patients.The low-risk group had higher immune scores and infil-tration levels of B cells and dendritic cells,while the high-risk group had a higher abundance of fibroblasts.Patients in the high-risk group showed upregulation of PD-L1 expression and higher immune phenotype scores.In addition,the model could also predict the sensitivity differences of commonly used chemotherapeutic drugs such as doxorubicin,gemcitabine,and paclitaxel.Conclusion The risk scoring model established using DNA methylation features of ferroptosis-related gene can be used to predict the prognosis of colon cancer patients and provide a new biomarker for achieving precision treatment.

Objectives:This study aims to investigate the association between Chinese visceral adiposity index(CVAI)and the risk of cardiovascular disease(CVD),and explore the sex differences.Methods:Participants were screened from the three sub-cohorts of Prediction for Atherosclerotic Cardiovascular Disease Risk in China(China-PAR)project,baseline information on body measure and biochemistry examinations were collected from 1998,2000-2001,and 2007-2008,separately.Participants were followed up to 2015.Cohort-stratified Cox proportional risk models were used to analyze the relationship between CVAI,both in continuous(per standard deviation increase)and categorical(quartiles,with Q1 as reference)scales,and CVD risk in the total population,men and women.The multiplicative interaction between sex and CVAI on CVD risk were calculated.Restricted cubic spline regression was employed to investigate the dose-response relationship.Results:A total of 98 464 participants without CVD at baseline were included.During the 723 508 person-years of follow-up,3 605 CVD events were recorded.After multivariate adjustment,the HRs(95％CIs)of CVD were 1.25(1.20-1.29),1.09(1.04-1.15),and 1.54(1.46-1.64)for per standard deviation increment in CVAI in the general population,men and women,respectively.Besides,compared with Q1 group,the HRs(95％CIs)in Q4 group were 1.87(1.67-2.10),1.33(1.14-1.54)and 3.84(3.09-4.78),correspondingly,and the effect of CVAI on the risk of CVD was significantly higher in women than in men(Pinteraction<0.05).Additionally,there was a positive dose-response relationship between CVAI and the risk of CVD.Conclusions:Elevated CVAI is an independent risk factor for CVD,especially in women.

Objective:To describe the prevalence of anxiety disorders and its distribution in Inner Mongolia Autonomous Region,and to explore the relevant factors of anxiety disorders.Methods:From June 2019 to Decem-ber 2019,representative multi-stage disproportionate stratified sampling procedure was used to sample in residents aged 18 and over in the Inner Mongolia Autonomous Region.All respondents were face-to-face interviewed by trained interviewers.Composite International Diagnostic Interview-3.0(CIDI-3.0)was used to diagnose anxiety disorders according to the criteria and definition of the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ).Chi-square test and multivariate logistic regression analysis were used for statistical anal-ysis.Results:Totally 12 315 people were interviewed in the survey.The weighted 12-mouth prevalence rate of any anxiety disorder was 4.64％,and the lifetime prevalence rate was 6.25％.The weighted 12-month prevalence rate of anxiety disorders was higher in female than that in male(5.38％vs.3.92％).The rate was higher in rural resi-dents than that in urban residents(5.67％vs.3.95％).The rate was higher in people with chronic diseases than that in people without chronic diseases(6.81％vs.2.29％).Logistic regression analysis showed that unmarried(OR=2.32,95％CI:1.31-4.10),separated/divorced(OR=2.49,95％CI:1.33-4.67),in debt(OR=1.55,95％CI:1.04-2.32),chronic disease(OR=2.22,95％CI:1.39-3.53),family history of anxiety disorders(OR=12.05,95％CI:8.78-16.53),poor sleep(OR=2.64,95％CI:1.97-3.54)were risk factors of occurrence of anxiety disorders,while junior high school(OR=0.65,95％CI:0.44-0.96)was protective factor of anxiety disor-ders.Conclusion:Adults with chronic diseases,poor sleep,unmarried or separated/divorced,family history of anxi-ety disorders,and financial debt are at higher risk groups of anxiety disorder in Inner Mongolia Autonomous Re-gion.