Objective To analyze the epidemiological characteristics of hand-foot-mouth disease(HFMD)in Gan-zhou.Methods The epidemiological data of HFMD reported by the Infectious Disease Surveillance System,a sub-system of China Disease Prevention and Control Information System,from 2017 to 2020 were analyzed by descriptive methods.Enterovirus(EV)nucleic acid and typing detections via throat swabs,anal swabs or herpes fluid of patients was detected by real-time fluo-rescent polymerase chain reaction.The change in HFMD epidemic characteristics was compared between 2020 and 2017-2019.Results The incidence of HFMD in Ganzhou in 2020 was significantly lower than that from 2017 to 2019(x2=50.587,P＜0.05).In 2020,the incidence of HFMD in counties and districts of Ganzhou(except Huichang County)signifi-cantly decreased compared with that in 2017-2019(P＜0.05).From 2017 to 2019,the incidence of HFMD was obviously seasonal,with a high incidence in summer and autumn,and two significant incidence peaks were formed in June and September in 2017 and 2018,respectively.In 2019,there was a summer peak in June.The epidemic trend in 2020 was different,with a very low epidemic trend in summer and autumn,and a peak in winter.The incidence of HFMD in men,women and all ages in 2020 significantly decreased compared with that in 2017-2019(P＜0.05),and the age of onset was mainly distributed in 1-5 years,especially in children aged 1 to 3 years.There was a significant difference in the incidence of HFMD among different ages(P＜0.05).The positive rate of EV in Ganzhou in 2020 was lower than that from 2017 to 2019(x2=47.273,P＜0.05).The positive rate of EV in January,March to September in 2020 was significantly lower,and the positive rate of EV in November,December 2020 was significantly higher than that in the same period in 2017 to 2019(P＜0.05).Strain CA16 showed an increasing trend year by year from 2017 to 2019,and became the dominant strain in 2019.The proportion of patients infected with CA6 strain was on the fise from 2018 to 2020,and CA6 became the dominant strain in 2020.Conclusion The HFMD in Ganzhou has obvious population characteristics and seasonality,and the pathogen spectrum is constantly changing.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Objective To investigate the changes in interleukin-34 (IL-34)levels in serum and bronchoalveolar lavage fluid (BALF) of patients with severe pneumonia and their prognostic value. Methods A total of 66 patients with severe pneumonia (severe pneumonia group), 35 patients with non-severe pneumonia (non-severe pneumonia group), and 27 healthy adults (control group) were enrolled. The severe pneumonia group was further divided into survival group of 38 patients and non-survival group of 28 patients based on 28-day survival. Clinical data of all subjects were analyzed. Receiver operating characteristic (ROC) curves were plotted to assess the predictive power of serum IL-34 and relative IL-34 gene expression in BALF for 28-day mortality in patients with severe pneumonia, as well as the predictive power of serum IL-34 for severe pneumonia. Kaplan-Meier survival curves were plotted, and the Log-rank test was used to compare cumulative survival rates. Cox regression analysis was conducted to explore risk factors for 28-day mortality in patients with severe pneumonia. Pearson correlation analysis was used to assess the correlation between serum IL-34 levels and relative IL-34 gene expression in BALF of patients with severe pneumonia. Results Serum IL-34 levels were higher in the severe pneumonia group than those in the non-severe pneumonia group, and were higher in the non-severe pneumonia group than in the control group (P < 0.05). Serum IL-34 levels and relative IL-34 gene expression in BALF were higher in the non-survival group than in the survival group (P < 0.05). ROC curve analysis showed that the areas under the curve for predicting 28-day mortality in patients with severe pneumonia were 0.908 for serum IL-34 levels and 0.878 for relative IL-34 gene expression in BALF. The optimal cutoff value for serum IL-34 levels in predicting severe pneumonia was 129.9 pg/mL. Multivariate Cox regression analysis showed that increased serum IL-34 levels and increased relative IL-34 gene expression in BALF were independent risk factors for 28-day mortality in patients with severe pneumonia (P < 0.05). The Kaplan-Meier survival analysis results indicate that, with a cutoff value of 129.9 pg/mL, patients with severe pneumonia who had high serum levels of IL-34 exhibited a lower cumulative survival rate compared to those with low IL-34 level(Log-rank P < 0.001). Conclusion Serum IL-34 levels are significantly increased in patients with severe pneumonia, and relative IL-34 gene expression in BALF is positively correlated with serum IL-34 levels. Both can be used as indicators for predicting the prognosis of 28-day mortality in patients with severe pneumonia.

Objective:To explore genes related to costimulatory molecule related to the prognosis of bladder cancer,and to construct and evaluate prognosis model based on costimulatory molecule-based signature(CMS).Methods:Gene expression matrix and clinical information of bladder cancer patients were downloaded from TCGA database and GEO database(GSE31684),and costimulatory molecule-related genes were retrieved from the literature.The univariate and multivariate Cox analysis were used to screened prognostic-related genes and constructed prognostic model.Forecast accuracy of model was verified in TCGA training group,TCGA validation data group and GEO group by Kaplan-Meier survival analysis and receiver operating characteristic curve(ROC).Considering risk score and clinical characteristics,we constructed a nomogram and evaluated its performance by consistency analysis and ROC.CIBERSORT algorithm was used to analyze immune cell composition of tumor microenvironment infiltration,and gene set enrichment analysis(GSEA)was performed to explore the potential mechanism.Results:Four prognostic-related CMSs were found:TNFRSF14,CD276,ICOS and TMIGD2,of which three were included in the risk score construction.Multivariate Cox regression results showed that the risk score based on CMS was an independent prognostic factor for bladder cancer patients.Consistency analysis and ROC results showed that the nomogram had ideal prognosis prediction accuracy.Immune infiltration analysis showed that the high risk group was likely to be in immunosuppressive state.GSEA results suggested that genes in high risk group were enriched in extracel-lular matrix(ECM)receptors interaction,cell cycle and other pathways.Conclusion:TNFRSF14,CD276 and ICOS may be potential prognostic biomarkers for bladder cancer patients.CMS-based risk score and nomogram could contribute to early prognosis and choice of personalized treatment.

Objective:To describe demographic,clinical and physiological characteristics,treatment between first-episode major depressive disorder(MDD)and relapse MDD,and to explore characteristics of relapse MDD.Methods:Totally 858 patients who met the diagnostic criteria for depression of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5),were included by using the Mini International Neuropsychiatric Interview(MINI),Clinician-Rated Dimensions of Psychosis Symptom Severity,and Hamilton Depression Scale etc.Among them,529(58.6％)were first-episode depression and 329(36.0％)were relapsed.The differences of demographic characteristics,clinical and physiological characteristics,treatment were compared byx2test and Kruskal-Wallis rank sum test.Multivariate logistic regression was used to explore the characteristics of MDD recur-rence.Results:Compared to first-episode MDD,relapse MDD had more comorbidity(OR=2.11,95％CI:1.00-4.44),more days out of role(OR=1.26,95％CI:1.01-1.56),more history of using psychiatric drug more than one month(OR=1.41,95％CI:1.02-1.97)and electroconvulsive therapy(OR=3.23,95％CI:1.42-7.36),and higher waist-hip ratio(OR=33.88,95％CI:2.88-399.32).Conclusion:Relapse MDD has positive as-sociation with comorbidity of mental disorders,out of role,and higher waist-hip ratio.

Background Improper settings of outdoor smoking points in public places may increase the risk of secondhand smoke exposure among the population. Conducting research on air pollution in and around smoking spots and related influencing factors can provide valuable insights for optimizing the setting of outdoor smoking points. Objective To investigate the influence of the number of smokers at outdoor smoking points and the distance on the diffusion characteristics of surrounding air pollutants, in order to optimize the setting of outdoor smoking points. Methods Surrounding the exhibition halls in the China International Import Expo (CIIE), two outdoor smoking points were randomly selected, one on the first floor (ground level) and the other on the second floor (16 m above ground), respectively. At 0, 3, 6, and 9 m from the smoking points in the same direction, validated portable air pollutant monitors were used to measure the real-time fine particulate matter (PM_2.5) and carbon dioxide (CO₂) concentrations for consecutive 5 d during the exhibition, as well as the environmental meteorological factors at 0 m with weather meters including wind speed, wind direction, and air pressure. An open outdoor atmospheric background sampling point was selected on each of the two floors to carry out parallel sampling. Simultaneously, the number of smokers at each smoking point were double recorded per minute. The relationships between the number of smokers, distance from the smoking points, and ambient PM_2.5 and CO₂ concentrations were evaluated by generalized additive regression models for time-series data after adjustment of confounders such as temperature, relative humidity, and wind speed. Results The median numbers of smokers at smoking points on the first and second floors were 6 [interquartile range (IQR): 3, 9] and 9 (IQR: 6, 13), respectively. Windless (wind speed <0.6 m·s⁻¹) occupied most of the time (85.9%) at both locations. The average concentration of ambient PM_2.5 at the smoking points (0 m) [mean ± standard deviation, (106±114) μg·m⁻³] was 4.2 times higher than that of the atmospheric background [(25±7) μg·m⁻³], the PM_2.5 concentration showed a gradient decline with the increase of distance from the smoking points, and the average PM_2.5 concentration at 9 m points [(35±22) μg·m⁻³] was close to the background level (1.4 times higher). The maximum concentration of CO₂ [(628±23) μmol·mol⁻¹] was observed at 0 m, and its average value was 1.3 times higher than that of the atmospheric background [(481±40) μmol·mol⁻¹], and there was no gradient decrease in CO₂ concentration with increasing distance at 0, 3, 6, and 9 m points. The regression analyses showed that, taking smoking point as the reference, every 3 m increase in distance was associated with a decrease of ambient PM_2.5 by 24.6 [95% confidence interval (95%CI): 23.5, 25.8] μg·m⁻³ (23.2%) and CO₂ by 54.1 (95%CI: 53.1, 55.1) μmol·mol⁻¹ (8.6%). Every one extra smoker at the smoking point was associated with an average increase of PM_2.5 and CO₂ by 2.0 (95%CI: 1.7, 2.8) μg·m⁻³ and 1.0 (95%CI: 0.7，1.2) μmol·mol⁻¹, respectively. The sensitivity analysis indicated that, under windless conditions, the concentrations of PM_2.5 and CO₂ at the smoking points were even higher but the decreasing and dispersion characteristics remained consistent. Conclusion Outdoor smoking points could significantly increase the PM_2.5 concentrations in the surrounding air and the risks of secondhand smoke exposure, despite of the noticeable decreasing trend with increasing distance. Considering the inevitable poor dispersion conditions such as windless and light wind, outdoor smoking points are recommended to be set at least 9 m or farther away from non-smoking areas.

Objective To observe the clinical efficacy of Sanjiao Tiaoqi Acupuncture in the treatment of post-stroke respiratory dysfunction.Methods Seventy-two patients with post-stroke respiratory dysfunction were randomly divided into observation group and control group,36 cases in each group.The control group was given routine treatment,and the observation group was treated with Sanjiao Tiaoqi Acupuncture on the basis of the control group,both groups were treated for 14 consecutive days.After 2 weeks of treatment,the clinical efficacy of the two groups was evaluated,and the changes of white blood cell count(WBC),C-reactive protein(CRP)and clinical pulmonary infection score(CPIS)were observed before and after treatment.The changes of diaphragmatic activity were compared before and after treatment between the two groups.Results(1)After treatment,the WBC and CRP levels of patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving the WBC and CRP levels,with statistically significant differences(P＜0.05).(2)After treatment,the CPIS scores of patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving CPIS scores,with a statistically significant difference(P＜0.05).(3)After treatment,the diaphragm mobility of patients in the two groups was significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving diaphragm mobility,and the difference was statistically significant(P＜0.05).(4)The total effective rate was 91.67％(33/36)in the observation group and 75.00％(27/36)in the control group.The efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P＜0.05).Conclusion Sanjiao Tiaoqi Acupuncture for post-stroke respiratory dysfunction can significantly promote the absorption of inflammatory factors in patients and improve diaphragm mobility,with remarkable clinical efficacy.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To establish the pharmacokinetic model of linezolid in neonates,and to optimize the administration regimen. Methods A prospective study was conducted among 64 neonates with sepsis who received linezolid as anti-infective therapy,and liquid chromatography-tandem mass spectrometry was used to measure the plasma concentration of the drug. Clinical data were collected,and nonlinear mixed effects modeling was used to establish a population pharmacokinetic (PPK) model. Monte Carlo simulation and evaluation was performed for the optimal administration regimen of children with different features. Results The pharmacokinetic properties of linezolid in neonates could be described by a single-compartment model with primary elimination,and the population typical values for apparent volume of distribution and clearance rate were 0.79 L and 0.34 L/h,respectively. The results of goodness of fit,visualization verification,and the Bootstrap method showed that the model was robust with reliable results of parameter estimation and prediction. Monte Carlo simulation results showed that the optimal administration regimen for linezolid in neonates was as follows:6 mg/kg,q8h,at 28 weeks of gestational age (GA);8 mg/kg,q8h,at 32 weeks of GA;9 mg/kg,q8h,at 34-37 weeks of GA;11 mg/kg,q8h,at 40 weeks of GA. Conclusions The PPK model established in this study can provide a reference for individual administration of linezolid in neonates. GA and body weight at the time of administration are significant influencing factors for the clearance rate of linezolid in neonates.

Objective To monitor the antifungal resistance of clinical isolates of Candida spp.in the East China region.Methods MALDI-TOF MS or molecular methods were used to re-identify the strains collected from January 2018 to December 2022.Antifungal susceptibility testing was performed using the broth microdilution method.The susceptibility test results were interpreted according to the breakpoints of 2022 Clinical and Laboratory Standards Institute(CLSI)documents M27 M44s-Ed3 and M57s-Ed4.Results A total of 3 026 strains of Candida were collected,65.33％of which were isolated from sterile body sites,mainly from blood(38.86％)and pleural effusion/ascites(10.21％).The predominant species of Candida were Candida albicans(44.51％),followed by Candida parapsilosis complex(19.46％),Candida tropicalis(13.98％),Candida glabrata(10.34％),and other Candida species(0.79％).Candida albicans showed overall high susceptibility rates to the 10 antifungal drugs tested(the lowest rate being 93.62％).Only 2.97％of the strains showed dose-dependent susceptibility(SDD)to fluconazole.Candida parapsilosis complex had a SDD rate of 2.61％and a resistance rate of 9.42％to fluconazole,and susceptibility rates above 90％to other drugs.Candida glabrata had a SDD rate of 92.01％and a resistance rate of 7.99％to fluconazole,resistance rates of 32.27％and 48.24％to posaconazole and voriconazole non-wild-type strains(NWT),respectively,and susceptibility rates above 90％to other drugs.Candida tropicalis had resistance rates of 29.55％and 26.24％to fluconazole and voriconazole,respectively,resistance rates of 76.60％and 21.99％to posaconazole and echinocandins non-wild-type strains(NWT),and a resistance rate of 2.36％to echinocandins.Conclusions The prevalence and species distribution of Candida spp.in the East China region are consistent with previous domestic and international reports.Candida glabrata exhibits certain degree of resistance to fluconazole,while Candida tropicalis demonstrates higher resistance to triazole drugs.Additionally,echinocandins resistance has emerged in Candida albicans,Candida glabrata,Candida tropicalis,and Candida parapsilosis.