Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of severe fever with thrombocytopenia syndrome (SFTS) in Huai'an City, Jiangsu Province from 2011 to 2024, so as to provide a basis for optimizing local SFTS prevention and control strategies, and identifying high-risk areas and key populations. Methods: Data on SFTS incidence and deaths in Huai'an City from 2011 to 2024 were collected from the Infectious Disease Reporting Information System of the Chinese Disease Prevention and Control Information System. The reported incidence, mortality, and fatality rates were calculated. Descriptive analysis was performed on temporal, population, and regional distribution. The average annual percent change (AAPC) was used to analyze the trend in the reported incidence of SFTS. Global and local spatial autocorrelation analyses were employed to examine the spatial distribution patterns and spatial association patterns of SFTS incidence while spatio-temporal scanning analyses was used to assess the spatial-temporal clustering of SFTS. Results: A total of 337 SFTS cases were reported in Huai'an City from 2011 to 2024, with the reported incidence rising from 0.17/100 000 to 1.88/100 000. There were 20 deaths, with an average annual mortality of 0.03/100 000, and a fatality rate of 5.93%. The incidence showed obvious seasonality, with a peak in May and June (148 cases, accounting for 43.92%). Spring and summer accounted for 107 cases (31.75%) and 159 cases (47.18%), respectively. The reported SFTS cases were mainly male, farmers, and individuals aged ≥41 years, accounting for 56.38%, 79.23%, and 96.74%, respectively. The population distribution of death cases was basically consistent with that of incident cases. Xuyi County was a high-incidence area, with a total of 332 reported cases, accounting for 98.52%. All death cases were reported in this county. Spatial autocorrelation analyses revealed a positive spatial correlation in SFTS incidence from 2019 to 2024, with Moran's I values ranging from 0.214 to 0.336 (all P<0.05). Heqiao Town, Tianquanhu Town, and Guiwu Town in Xuyi County were identified as high-high clustering areas. Spatio-temporal scanning analyses showed that cluster 1 was consistent with the high-high clustering areas, with an aggregation time from the second quarter of 2019 to the second quarter of 2022. Conclusions From 2011 to 2024, the reported incidence of SFTS in Huai'an City showed an upward trend, with a high incidence in spring and summer. Males, farmers, and the middle-aged and elderly population were the key populations for prevention and control. Xuyi County was the key area for prevention and control.

Background: and Purpose Bilirubin has potent antioxidant, anti-inflammatory, and neuroprotective effects. Herein, we investigated whether total bilirubin (TBIL) modifies the association between hypertension and cerebral small vessel disease (CSVD). Methods: Data were obtained from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study. TBIL and direct bilirubin (DBIL) levels were assayed using fasting venous blood samples. Indirect bilirubin (IBIL) was calculated by subtracting DBIL from TBIL. TBIL was stratified as ≤17 μmol/L and >17 μmol/L based on the biological relevance of Gilbert’s syndrome. Hypertension was defined as blood pressure ≥140/90 mm Hg, self-reported hypertension history, or current use of antihypertensive agents. White matter hyperintensity, lacunes, cerebral microbleeds, and enlarged perivascular spaces were evaluated using magnetic resonance imaging and used to rate CSVD burden according to the criteria proposed by Wardlaw et al. and Rothwell et al. Results: This study included 3,061 participants, with a mean age of 61.2±6.7 years and 46.5% males. After adjusting for confounders, hypertension was associated with increased odds of presence of CSVD (Wardlaw: odds ratio [OR]=1.86, 95% confidence interval [CI] 1.41–2.44, P<0.001; Rothwell: OR=1.84, 95% CI 1.43–2.38, P<0.001) and higher modified total CSVD burden (common OR: 1.85, 95% CI 1.45–2.36, P<0.001) in participants with TBIL ≤17 μmol/L but not in TBIL >17 μmol/L (P for interaction <0.05). Johnson–Neyman analyses showed cut-off concentrations of 22.3–22.4 μmol/L for effect modification by TBIL. IBIL contributed to effect modification, whereas DBIL did not. Conclusions Mildly elevated TBIL may modify the association between hypertension and CSVD.

Objective: To explore the network structure of anxiety and depressive symptoms, and psychotic like experiences in junior and senior high school students with different sleep qualities, and to provide a reference for improving sleep quality in the population. Methods: A cross sectional online survey was conducted among 22 997 junior and senior high school students from seven junior and senior high schools in Luzhou City, Sichuan Province, using convenience sampling. The Pittsburgh Sleep Quality Index (PSQI), Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and the 16item Prodromal Questionnaire (PQ-16) were administered. Independent sample t-test was used to compare mental health status between adolescents with and without sleep problems. Network analysis was applied to examine the symptom association patterns across gender and school stage subgroups. Results: The prevalence of sleep problems among junior and senior high school students was 22.58%. The total anxiety symptom score (8.92± 4.02 ), total depressive symptom score (13.35±5.66), and scores for each factor of PQ-16 (perceptual and sensory abnormalities, thinking abnormalities, negative symptoms, and specific perceptual and sensory abnormalities) (3.32±3.32, 2.08±2.36, 3.36± 2.74 , 1.44±1.86) in the group with sleep problems were all significantly higher than those in the group without sleep problems ( 3.43 ±3.33, 5.03±4.73; 0.63±1.52, 0.47±1.11, 0.77±1.48, 0.25±0.79), with statistically significant differences ( t =99.60, 106.54, 82.49, 68.51, 89.09, 67.30, all P <0.01). In females with sleep problems, the anxiety-depressive symptoms edge weight was the highest (0.44). In males with sleep problems, the "sleep latency-sleep efficiency" edge weight was the highest (0.43), and the strength centrality values of "perceptual abnormalities" "medication factor" and "sleep latency" ranked the higher (1.32, 1.31 and 1.25). The network connectivity strength of the sleep problem group was higher in senior high school students than in junior high school students, and the strength centrality (1.12) and betweenness centrality (0.12) of negative symptoms were higher than those in junior high school students (1.02 and 0.11). Conclusions The network associations between sleep problems and psychological symptoms in junior and senior high school students exhibit gender and school stage specific characteristics. Differentiated intervention strategies should be tailored to specific subgroups.

AIM To study the chemical constituents from the bark of Toona sinensis(A.Juss.)Roem and their anti-inflammatory activity.METHODS Silica gel,RP-18 reverse phase silica gel and HPLC were used for isolation and purification,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their anti-inflammatory activity were evaluated by RAW264.7 model.RESULTS Sixteen compounds were isolated and identified as(9Z)-18-hydroxyo-ctadec-9-en-4,6-diyn-3-one(1),toonapolyyne C(2),(9S,10E,16R)-octadec-10-ene-12,14-diyne-1,9,16-triol(3),(9S,10E,16R)-9,16-dihydroxyoctadec-10-ene-12,14-diy-n-1-yl acetate(4),toonapolyyne A(5),toonasindiyne B(6),scopoletin(7),sco-parone(8),3-O-acetyl(-)-epicatechin(9),p-ethoxyacetanilide(10),kulonic acid(11),β-sitosterol-3-O-β-D-glucopyranoside(12),vanillic acid(13),cleomiscosin A(14),(-)-isolariciresinol(15),resveratrol(16).The IC50 values of compounds 3-4,6,11-13 for NO were 6.90,10.49,20.03,9.49,18.34,24.36 μmol/L,respectively.CONCLUSION Compound 1 is a new polyacetylene,8-16 are isolated from T.sinensis for the first time.Compounds 3-4,6,11-13 have good anti-inflammatory activity.

Objective:To construct an evaluation indicator system for accessories of patient monitor,so as to provide a basis for clinical management,equipment procurement,and technical improvement for accessories of medical monitor.Methods:The initial selection indicators of corresponding accessories of three types of monitoring of medical monitors,including electrocardiogram(ECG),blood oxygen saturation(SpO2)and non-invasive blood pressure(NIBP),were determined through literature research,expert consultation,and actual investigation.The Delphi method was adopted to conduct two rounds of questionnaire consultation for experts from clinical medicine,biomedical engineering and other fields in medical institutions included Sichuan Provincial People's Hospital,The Affiliated Hospital of Southwest Medical University and Medical Institute of Chengdu Institute of Metrology Verification and Testing.The evaluation indicators were screened and optimized,and the Analytic Hierarchy Process(AHP)was used to calculate the weights of each indicator.The consistency test was conducted to verify the rationality of the evaluation indicator system.Results:The evaluation indicator system for accessories of medical monitor included three first-level indicators:clinical value,cost value,and management value.The number of second-level indicators about ECG,SpO2 and NIBP of evaluation indicator system were respectively 10,9 and 8,and the number of third-level indicators of that were respectively 20,19,and 14.In the first-level indicators,the clinical value had the highest weight,with 72.49%for ECG,70.88%for SpO2 and 70.32%for NIBP.In the second-level indicators,the accuracy(28.70%for ECG,38.13%for SpO2 and 43.03%for NIBP)and safety(27.47%for ECG,26.48%for SpO2 and 23.06%for NIBP)were the core indicators.The weights of cost value and management value were between 14.62%and 17.41%,and between 12.27%and 12.89%,respectively.Conclusion:The evaluation indicator system for accessories of medical monitor integrates multi-dimensional expert opinions and quantitative analysis,highlights the priority principle for clinical performance.It can provide theoretical support for optimizing selection about accessory for medical institutions,and improving quality of monitoring,and promoting standardized management in the industry.

Objective To analyze the results of three nucleic acid detection for Mycoplasma pneumoniae(MP)in children,and explore the epidemiological characteristics of MP infection as well as the features of dif-ferent MP nucleic acid detection methods.Methods A total of 8 575 children who visited the hospital from 2018 to 2023 and had results from three different MP nucleic acid detection methods were enrolled as study subjects.The differences in positive detection rates across different years,genders,and ages,as well as the differences and consistency in positive detection rates among the different MP nucleic acid detection methods,were analyzed.Results The positive detection rate of MP in 2020 and 2021 was lower than that in 2018,2019,2022,and 2023(P＜0.001).The positive detection rate of MP in male patients was lower than that in female patients(P＜0.05).The highest positive detection rate of MP was observed in aged 6 to＜12 years,followed by aged 12 to＜18 years and aged 3 to＜6 years,while the lowest rate was found in aged 0 to＜3 years,with a statistically significant difference(P＜0.001).The MP DNA fluorescent PCR method had the highest posi-tive detection rate(23.15％),followed by the MP RNA isothermal amplification method(12.82％),and the MP RNA dual amplification method had the lowest positive detection rate(11.67％),the differences were sta-tistically significant(P＜0.001).The consistency between MP DNA fluorescent PCR method and MP RNA i-sothermal amplification method was relatively the best(Kappa=0.597,P＜0.001),followed by MP RNA i-sothermal amplification method and MP RNA dual amplification method(Kappa=0.564,P＜0.001),the consistency between MP DNA fluorescence PCR and MP RNA double amplification was the worst(Kappa=0.466,P＜0.001).Conclusion The positive rate of MP decreased significantly in 2020 and 2021,and the posi-tive rate of MP was the highest in 6 to＜12 years old.There were significant differences in the positive rate of MP among different nucleic acid detection methods.

Objective To explore the factors affecting the coefficient of variation(CV)of glucose in type 2 diabetes mellitus(T2DM)patients based on real-time dynamic glucose monitoring system.Methods A total of 354 patients with T2DM hospitalized in the Department of Endocrinology of Jiangsu Shengze Hospital were enrolled in this study from March 2023 to March 2024 and divided into two groups:the glycemic variability(GV,CV>36%)group(n=118)and the glucose stable(GS,CV≤36%)group(n=236).The clinical data of the two groups were compared,and the influencing factors for CV>36%were analyzed.Results The DM duration and HbA1c were higher(P<0.05),while BMI,visceral fat area,subcutaneous fat area(SFA),FC-P,serum uric acid(SUA),and TG were lower in the GV group than in the GS group(P<0.05).Spearman correlation analysis showed that CV was positively correlated with diabetes duration and HbA1c(P<0.05),and negatively correlated with FC-P,SFA and SUA(P<0.05).Logistic regression analysis showed that DM duration,HbA1c,SFA,FC-P and SUA were the influencing factors for GV.Scatter plot analysis showed that there was a linear trend between CV level and log HbA1c and log SFA in T2DM patients.CV level increased with the increase of log HbA1c,and decreased with the increase of log SFA.ROC curve analysis showed that the area under the curve(AUC)of FC-P was 0.703(95%CI:0.640～0.765,P<0.001)for predicting GV in T2DM patients,and the cut-off value was 1.095 ng/ml.The AUC of SUA was 0.622(95%CI:0.555～0.688,P<0.001)for predicting GV,and the cut-off value was 280.5 μmol/L.Conclusions The DM duration,HbA1c,SFA,FC-P and SUA are important factors for GV,and FC-P and SUA have predictive value for GV.

AIM To study the chemical constituents from the bark of Toona sinensis(A.Juss.)Roem and their anti-inflammatory activity.METHODS Silica gel,RP-18 reverse phase silica gel and HPLC were used for isolation and purification,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their anti-inflammatory activity were evaluated by RAW264.7 model.RESULTS Sixteen compounds were isolated and identified as(9Z)-18-hydroxyo-ctadec-9-en-4,6-diyn-3-one(1),toonapolyyne C(2),(9S,10E,16R)-octadec-10-ene-12,14-diyne-1,9,16-triol(3),(9S,10E,16R)-9,16-dihydroxyoctadec-10-ene-12,14-diy-n-1-yl acetate(4),toonapolyyne A(5),toonasindiyne B(6),scopoletin(7),sco-parone(8),3-O-acetyl(-)-epicatechin(9),p-ethoxyacetanilide(10),kulonic acid(11),β-sitosterol-3-O-β-D-glucopyranoside(12),vanillic acid(13),cleomiscosin A(14),(-)-isolariciresinol(15),resveratrol(16).The IC50 values of compounds 3-4,6,11-13 for NO were 6.90,10.49,20.03,9.49,18.34,24.36 μmol/L,respectively.CONCLUSION Compound 1 is a new polyacetylene,8-16 are isolated from T.sinensis for the first time.Compounds 3-4,6,11-13 have good anti-inflammatory activity.

Objective To explore the factors affecting the coefficient of variation(CV)of glucose in type 2 diabetes mellitus(T2DM)patients based on real-time dynamic glucose monitoring system.Methods A total of 354 patients with T2DM hospitalized in the Department of Endocrinology of Jiangsu Shengze Hospital were enrolled in this study from March 2023 to March 2024 and divided into two groups:the glycemic variability(GV,CV>36%)group(n=118)and the glucose stable(GS,CV≤36%)group(n=236).The clinical data of the two groups were compared,and the influencing factors for CV>36%were analyzed.Results The DM duration and HbA1c were higher(P<0.05),while BMI,visceral fat area,subcutaneous fat area(SFA),FC-P,serum uric acid(SUA),and TG were lower in the GV group than in the GS group(P<0.05).Spearman correlation analysis showed that CV was positively correlated with diabetes duration and HbA1c(P<0.05),and negatively correlated with FC-P,SFA and SUA(P<0.05).Logistic regression analysis showed that DM duration,HbA1c,SFA,FC-P and SUA were the influencing factors for GV.Scatter plot analysis showed that there was a linear trend between CV level and log HbA1c and log SFA in T2DM patients.CV level increased with the increase of log HbA1c,and decreased with the increase of log SFA.ROC curve analysis showed that the area under the curve(AUC)of FC-P was 0.703(95%CI:0.640～0.765,P<0.001)for predicting GV in T2DM patients,and the cut-off value was 1.095 ng/ml.The AUC of SUA was 0.622(95%CI:0.555～0.688,P<0.001)for predicting GV,and the cut-off value was 280.5 μmol/L.Conclusions The DM duration,HbA1c,SFA,FC-P and SUA are important factors for GV,and FC-P and SUA have predictive value for GV.