Objective To investigate the incidence trend of infectious diseases among kindergarten children in Yangpu District, Shanghai, and to provide scientific reference for prevention and control strategies of infectious diseases among key populations. Methods Descriptive epidemiology method and Joinpoint regression analysis model were used to analyze the surveillance data of infectious diseases among kindergarten children. Results The average annual reported incidence of infectious diseases among kindergarten children in Yangpu District was 3,344.08/100,000, showing a downward trend (AAPC=-5.51, 95%CI: -13.02~2.63). Intestinal (65.49%) and respiratory (34.48%) infectious diseases were the main cases. There were 7,378 cases of hand, foot and mouth disease (62.95%), 1,885 cases of influenza (16.08%), 1,378 cases of varicella (11.76%), and 392 cases of mumps (3.34%), accounting for 94.14% of all reported cases. Hand, foot and mouth disease (AAPC=-17.68%, 95%CI: -27.52~-6.51), mumps (AAPC=-9.33, 95%CI: -14.86~-3.45) and varicella (AAPC=-7.32, 95%CI: -17.35~3.93) showed an overall decreasing trend, while influenza (AAPC=32.19, 95%CI: 12.49-55.34) was on the rise. The incidence of the disease showed double peak distribution, and the high incidence months were from May to July and from September to December. The male to female ratio was 1.39:1. Conclusion The incidence of infectious diseases among kindergarten children in Yangpu District shows a downward trend. It is necessary to continue to increase the coverage rate of Enterovirus 71(EV71), influenza, chickenpox and MMR combined live attenuated vaccine, strengthen monitoring and early warning, actively carry out health guidance, and effectively control the occurrence of common infectious diseases in kindergarten children.

Objective This study aims to explore the application value of spectral CT and perfusion CT parameters in the pathological classification and prognostic assessment of lung cancer.Methods A total of 94 lung cancer patients confirmed by pathology at Shanghai Chest Hospital from January 2023 to November 2024 were included in the study,including 49 cases of lung adenocarcinoma(LUAD),30 cases of lung squamous cell carci-noma(LUSC),and 15 cases of small cell lung cancer(SCLC).All patients underwent spectral CT combined with perfusion scanning using a 256-slice Revolution Apex from GE.Two radiologists independently measured the spectral and perfusion parameters of the three groups of images,including spectral curve slope(K),iodine concentration in the lesion area(ICL),effective atomic number(Zeff),surface permeability(PS),and perfusion index(PI),and established a lung cancer pathological subtype discrimination prediction model based on spectral CT radiomics features.All subjects were randomly divided into a training group and a validation group at a ratio of 3∶1.The discrimination efficacy of the spectral discrimination model between different pathological subtypes and the discrimination efficacy of arterial and venous phase images were compared in multiple dimensions.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve.Results Statistical analysis showed that the spectral curve slope,ICL,NIC,and Zeff of LUAD patients were significantly higher than those of LUSC and SCLC patients(P<0.05),while there were no significant differences in these parameters between LUSC and SCLC patients(P>0.05).Among the perfusion CT parameters,surface permeability(PS)showed significant differences among the three groups(P<0.05),while blood volume(BV),blood flow(BF),perfusion index(PI),time to peak(TTP),and mean transit time(MTT)did not show statistical differences.The multi-factor logistic regression model based on spectral parameters showed strong discriminatory performance:the area under the curve(AUC)of the LUAD and LUSC discrimination model was 0.806/0.77(training group/test group)in the arterial phase and 0.867/0.9(training group/test group)in the venous phase;the AUC of the LUAD and SCLC discrimination model was 0.885/0.883(training group/test group)in the arterial phase and 0.851/0.776(training group/test group)in the venous phase.Conclusion This study indicates that the multi-dimensional functional metabolic analysis indicators of spectral and perfusion CT imaging have significant value in the differential diagnosis of lung cancer pathological subtypes.The diagnostic model constructed by combining multiple spectral parameters can significantly improve the discrimination efficacy of lung adenocarcinoma,squamous cell carcinoma,and small cell lung cancer,providing precise imaging evidence for the formulation of individualized treatment plans.

Objective:To investigate the occurrence and influencing factors of oral frailty among the elderly in China.Methods:General information questionnaire,Oral Frailty Scale,Sarcopenia Screening Questionnaire(SARC-F),Social Network Scale-6(LSNS-6)and Subjective Cognitive Decline Questionnaire(SCD-Q9)were used to conduct a survey in Anhui Province.A survey was conducted among 3 063 elderly people to analyze their current status and influencing factors related to oral frailty.Results:The incidence of oral frailty among the elderly in Anhui Province was 46.82％(1434/3063).Binary logistic regression analysis showed sarcopenia(OR=8.742,95％CI:7.156-10.679),social isolation(OR=1.601,95％CI:1.313-1.953),and subjective cogni-tive decline(OR=2.424,95％CI:1.905-3.085),90 years old and above(OR=2.261,95％CI:1.304-3.922)and having disability(OR=1.341,95％CI:1.040～1.729)are risk factors for oral frailty in the elderly in Anhui Province.Conclusion:The incidence of oral frailty is high among the elderly in Anhui Province.Risk factors for oral frailty include sarcopenia,social isolation,subjective cognitive decline,advanced age,and disability.

Objective To investigate the effect of baseline atherogenic index of plasma(AIP)on the long-term prognosis of patients with acute myocardial infarction(AMI).Methods A total of 712 AMI patients admitted to the hospital from January 2018 to December 2019 were continuously included as subjects and divided into a low-value group(AIP<0.280,n=237),a median-value group(AIP 0.280～0.852,n=238)and a high-value group(AIP>0.852,n=237)according to the baseline AIP tertiles.The primary endpoint was defined as the occurrence of major cardiovascular adverse events(MACEs).Multivariate Cox regression was used to analyze the independent influencing factors of MACEs.The nonlinear relationship between AIP and the risk of MACEs was analyzed with restricted cubic spline plots.Kaplan-Meier curve was used to analyze survival differences between groups.Subgroup analysis assesses the consistency of AIP's predictive value to MACEs.Results With the increase of AIP tertile groups,the proportion of dyslipidemia and MACEs increased,white blood cell count,fasting blood glucose,triglyceride,total cholesterol,low density lipoprotein and AIP increased,and high-density lipoprotein decreased,with statistical significance(P<0.05).Multivariate Cox regression analysis showed that AIP was an independent risk factor for MACEs(HR=2.024,95%CI:1.211～3.381,P=0.007).The results of restricted cubic spline analysis show that there is an L-shaped nonlinear effect relationship between AIP and the risk of MACEs(P-nonlinear=0.008).When AIP>0.613,the risk of MACEs in AMI patients increases with the increase of AIP.Kaplan-Meier survival curve analysis results show:With the increase of AIP,the cumulative incidence of MACEs in AMI patients increased significantly(Log-rank test,P=0.032).Compared with the low-value group,the risk of MACEs in the high-value group increased by 131%(HR=2.311,95%CI:1.261～4.234,P=0.007).The results of subgroup analysis showed that the P value of interaction within each subgroup was not significant,and the ability of AIP to predict MACEs was applicable to all subgroups.Conclusion Increased AIP at baseline is an independent predictor of poor long-term prognosis in patients with AMI.

Objective This study aims to explore the application value of spectral CT and perfusion CT parameters in the pathological classification and prognostic assessment of lung cancer.Methods A total of 94 lung cancer patients confirmed by pathology at Shanghai Chest Hospital from January 2023 to November 2024 were included in the study,including 49 cases of lung adenocarcinoma(LUAD),30 cases of lung squamous cell carci-noma(LUSC),and 15 cases of small cell lung cancer(SCLC).All patients underwent spectral CT combined with perfusion scanning using a 256-slice Revolution Apex from GE.Two radiologists independently measured the spectral and perfusion parameters of the three groups of images,including spectral curve slope(K),iodine concentration in the lesion area(ICL),effective atomic number(Zeff),surface permeability(PS),and perfusion index(PI),and established a lung cancer pathological subtype discrimination prediction model based on spectral CT radiomics features.All subjects were randomly divided into a training group and a validation group at a ratio of 3∶1.The discrimination efficacy of the spectral discrimination model between different pathological subtypes and the discrimination efficacy of arterial and venous phase images were compared in multiple dimensions.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve.Results Statistical analysis showed that the spectral curve slope,ICL,NIC,and Zeff of LUAD patients were significantly higher than those of LUSC and SCLC patients(P<0.05),while there were no significant differences in these parameters between LUSC and SCLC patients(P>0.05).Among the perfusion CT parameters,surface permeability(PS)showed significant differences among the three groups(P<0.05),while blood volume(BV),blood flow(BF),perfusion index(PI),time to peak(TTP),and mean transit time(MTT)did not show statistical differences.The multi-factor logistic regression model based on spectral parameters showed strong discriminatory performance:the area under the curve(AUC)of the LUAD and LUSC discrimination model was 0.806/0.77(training group/test group)in the arterial phase and 0.867/0.9(training group/test group)in the venous phase;the AUC of the LUAD and SCLC discrimination model was 0.885/0.883(training group/test group)in the arterial phase and 0.851/0.776(training group/test group)in the venous phase.Conclusion This study indicates that the multi-dimensional functional metabolic analysis indicators of spectral and perfusion CT imaging have significant value in the differential diagnosis of lung cancer pathological subtypes.The diagnostic model constructed by combining multiple spectral parameters can significantly improve the discrimination efficacy of lung adenocarcinoma,squamous cell carcinoma,and small cell lung cancer,providing precise imaging evidence for the formulation of individualized treatment plans.

Objective To investigate the expression of ACTN1 in cutaneous squamous cell carcinoma (CSCC) and its association with clinicopathological features and prognosis. Methods A total of 150 patients with cutaneous squamous cell carcinoma (CSCC) and 100 healthy controls were enrolled in this study. The serum expres-sion levels of ACTN1 were measured using ELISA. All CSCC patients underwent post-surgical follow-up and were categorized into a poor prognosis group (n=69) and a good prognosis group (n=81). Additionally,the 69 patients in the poor prognosis group were further classified into an ACTN1 lower expression subgroup (n=35) and an ACTN1 higher expression subgroup (n=34) based on the median expression level of ACTN1. Logistic regression analysis was employed to identify risk factors associated with poor prognosis in CSCC patients. ROC curve analysis was conducted to evaluate the clinical utility of serum ACTN1 expression levels in predicting poor prognosis in CSCC patients. Kaplan-Meier (K-M) survival analysis was utilized to assess the relationship between serum ACTN1 expres-sion levels and the median time to poor prognosis in the 69 patients with poor prognosis. Furthermore,40 additional CSCC patients were recruited to compare the expression levels of ACTN1 in CSCC tissues and adjacent tissues using immunohistochemistry. Results The serum expression levels of ACTN1 in the Control group and the CSCC group were (12.12±2.26) ng/mL and (4.56±1.02) ng/mL,respectively. Compared to the Control group,the serum expres-sion level of ACTN1 in the CSCC group was significantly decreased,and the difference was statistically significant (t=31.37,P<0.001). In the poor prognosis group,the proportion of tumors with a diameter ≥ 5 cm,low degree of tumor cell differentiation,subadipocyte invasion depth,lymph node metastasis incidence,and serum ACTN1 expression levels were all significantly higher compared to the good prognosis group,with statistical significance (P<0.05). Logistic regression analysis revealed that lymph node metastasis (OR=3.253) and elevated ACTN1 expression (OR=2.894) were independent risk factors for poor prognosis following CSCC surgery. The area under the curve (AUC) for serum ACTN1 expression in predicting poor prognosis post-surgery in CSCC patients was 0.911. At a cut-off value of 13.19 ng/mL for ACTN1,the diagnostic sensitivity and specificity were 89.78％ and 92.12％,respectively. The median time to poor prognosis was 25 months in the ACTN1 low-expression group and 18.5 months in the ACTN1 high-expression group,respectively. The median time to poor prognosis was significantly shorter in the ACTN1 high-expression group compared to the low-expression group (HR=6.627,P<0.001). Among 40 CSCC tissue samples,32 cases exhibited higher ACTN1 expression,while 8 cases showed lower expression. In contrast,among 40 paracancerous tissue samples,11 cases had higher ACTN1 expression and 29 cases had lower expression. The higher expression rate of ACTN1 in CSCC tissues was significantly elevated compared to paracancerous tissues (x2=22.175,P<0.001). Conclusion The serum expression level of ACTN1 in CSCC patients was significantly elevated,suggesting its potential as a biomarker for assessing post-surgical prognosis in CSCC patients.

ObjectivesTo analyze the trends in mortality and disease burden of colorectal cancer (CRC) among the registered residents in Danyang City, Jiangsu Province, from 2013 to 2023, and to provide a scientific basis for developing CRC prevention and control strategies. MethodsMortality surveillance data on CRC among the registered residents in Danyang City from 2013 to 2023 were collected and analyzed. Crude mortality rate (CMR), age-standardized mortality rate (ASMR), years of life lost (YLL) due to premature death, and YLL rate were calculated. The annual percentage change (APC) and average annual percent change (AAPC) of CMR, ASMR and YLL rate were calculated with Joinpoint Regression Program 4.9.0.1. ResultsA total of 1 920 deaths from colorectal cancer were recorded in Danyang City during 2013‒2023, with an average annual CMR of 21.75/100 000, which showed an upward trend (APC=6.47%, 95%CI: 4.21%‒8.79%, P<0.001), with higher CMR observed in males than that in females. The overall ASMR by Chinese standard population was 12.10/100 000, with no obvious temporal trends (APC=1.37%, P=0.364). ASMR increased with age, particularly after 45 years. The total YLL due to CRC was 34 711 person-years, with an average YLL rate of 3.93‰. The YLL rate showed a significant upward trend from 2013 to 2023 (APC=4.96%, 95%CI: 4.08%‒18.16%, P<0.001) in Danyang City. ConclusionThe mortality rate of colorectal cancer in Danyang City is relatively high and has shown a rising trend, resulting in an increasing disease burden on the residents year by year. Continued efforts to strengthen CRC prevention and control are needed, particularly targeting males and the elderly population.

Objective:To investigate the relationship between nonalcoholic fatty liver disease (NAFLD) and the long-term prognosis in patients with acute myocardial infarction (AMI).Methods:It was a retrospective cohort study. A total of 712 patients diagnosed with AMI who were admitted to the People′s Hospital of Xinjiang Uygur Autonomous Region from January 2018 to December 2019 were continuously included as subjects. The fatty liver index (FLI) was used to evaluate the degree of hepatic steatosis. Subjects were divided into No NAFLD group (FLI?30), grade 1 NAFLD group (30≤FLI?60), and grade 2 NAFLD group (FLI≥60). The endpoint event was defined as the occurrence of major cardiovascular adverse events (MACEs). The Cox proportional risk model was used to assess the risk of MACEs. The Kaplan-Meier curve was used to analyze the survival differences between the groups, and subgroup analysis was performed for age, gender, and complicity with hypertension, diabetes, dyslipidemia, and abdominal obesity.Results:During the follow-up period, the incidence of MACEs was 10.92% (26/238) in the No NAFLD group, it was 18.01% (47/261) in the grade 1 NAFLD group, and 24.41% (52/213) in the grade 2 NAFLD group, there was significant difference in the incidence of adverse events among the groups ( χ2=9.136, P?0.05). After adjusting for confounding factors, compared with the No NAFLD group, the risk of MACEs in grade 1 NAFLD group was increased by 69.0%( HR=1.690, 95% CI: 1.026-2.783, P=0.039) and 131.2%( HR=2.312, 95% CI: 1.415-3.773, P=0.001), respectively. Kaplan-Meier curve analysis indicated that the cumulative incidence of MACEs was significantly increased and the prognosis was worse in grade 2 NAFLD group (Log-rank test χ2=13.500, P=0.001). The results of subgroup analysis suggested that grade 2 NAFLD could significantly increase the risk of MACEs in all age groups, women, dyslipidemia, normal body type, and people with or without hypertension or diabetes. In particular, it had higher predictive value in women and normal-size people (interaction P?0.05). Conclusion:The degree of NAFLD is closely related to the long-term prognosis of AMI patients, the more severe the NAFLD, the higher the risk of adverse events in AMI patients.

To investigate the therapeutic effect and related mechanisms of hordenine on ovalbumin (OVA)-induced allergic rhinitis (AR) in rats, HE and AB-PAS staining were used to detect the improvement of pathological damage to the nasal mucosa induced by hordenine. ELISA was employed to detect the effect of hordenine on OVA-sIgE in serum and IL-4 in the nasal mucosa supernatant of rats. IHC and Western blot experiments were undertaken to examine the effect of hordenine on Th1/Th2 cell balance. Bioinformatics analysis was performed to predict pathways, which were verified by in vivo and in vitro experiments. The experimental results showed that hordenine could alleviate the behavioral manifestations of OVA-induced AR rats, alleviate nasal mucosal pathological damage caused by AR, and reduce the secretion of OVA-sIgE and IL-4. In addition, hordenine could regulate the Th1/Th2 balance. Bioinformatics analysis results showed that the potential pathway of action of hordenine on AR was the phosphoinositide 3 kinase (PI3K)/protein kinase B (Akt) signaling pathway. The in vivo experimental results showed that the expression of PI3K and p-Akt proteins in the nasal mucosa of the model group rats was significantly increased (P < 0.01), and that the protein expression level was significantly decreased after the administration of hordenine, which was also confirmed by an in vitro experiment. This study suggests that hordenine may regulate Th1/Th2 cell balance through the PI3K/Akt signaling pathway, thereby exerting an alleviating effect on OVA-induced AR.

Objective To investigate the expression of ACTN1 in cutaneous squamous cell carcinoma (CSCC) and its association with clinicopathological features and prognosis. Methods A total of 150 patients with cutaneous squamous cell carcinoma (CSCC) and 100 healthy controls were enrolled in this study. The serum expres-sion levels of ACTN1 were measured using ELISA. All CSCC patients underwent post-surgical follow-up and were categorized into a poor prognosis group (n=69) and a good prognosis group (n=81). Additionally,the 69 patients in the poor prognosis group were further classified into an ACTN1 lower expression subgroup (n=35) and an ACTN1 higher expression subgroup (n=34) based on the median expression level of ACTN1. Logistic regression analysis was employed to identify risk factors associated with poor prognosis in CSCC patients. ROC curve analysis was conducted to evaluate the clinical utility of serum ACTN1 expression levels in predicting poor prognosis in CSCC patients. Kaplan-Meier (K-M) survival analysis was utilized to assess the relationship between serum ACTN1 expres-sion levels and the median time to poor prognosis in the 69 patients with poor prognosis. Furthermore,40 additional CSCC patients were recruited to compare the expression levels of ACTN1 in CSCC tissues and adjacent tissues using immunohistochemistry. Results The serum expression levels of ACTN1 in the Control group and the CSCC group were (12.12±2.26) ng/mL and (4.56±1.02) ng/mL,respectively. Compared to the Control group,the serum expres-sion level of ACTN1 in the CSCC group was significantly decreased,and the difference was statistically significant (t=31.37,P<0.001). In the poor prognosis group,the proportion of tumors with a diameter ≥ 5 cm,low degree of tumor cell differentiation,subadipocyte invasion depth,lymph node metastasis incidence,and serum ACTN1 expression levels were all significantly higher compared to the good prognosis group,with statistical significance (P<0.05). Logistic regression analysis revealed that lymph node metastasis (OR=3.253) and elevated ACTN1 expression (OR=2.894) were independent risk factors for poor prognosis following CSCC surgery. The area under the curve (AUC) for serum ACTN1 expression in predicting poor prognosis post-surgery in CSCC patients was 0.911. At a cut-off value of 13.19 ng/mL for ACTN1,the diagnostic sensitivity and specificity were 89.78％ and 92.12％,respectively. The median time to poor prognosis was 25 months in the ACTN1 low-expression group and 18.5 months in the ACTN1 high-expression group,respectively. The median time to poor prognosis was significantly shorter in the ACTN1 high-expression group compared to the low-expression group (HR=6.627,P<0.001). Among 40 CSCC tissue samples,32 cases exhibited higher ACTN1 expression,while 8 cases showed lower expression. In contrast,among 40 paracancerous tissue samples,11 cases had higher ACTN1 expression and 29 cases had lower expression. The higher expression rate of ACTN1 in CSCC tissues was significantly elevated compared to paracancerous tissues (x2=22.175,P<0.001). Conclusion The serum expression level of ACTN1 in CSCC patients was significantly elevated,suggesting its potential as a biomarker for assessing post-surgical prognosis in CSCC patients.