Objective To investigate the infection status of helicobacter pylori(Hp) among health examination population ,and its relationship to lipids ,glucose ,uric acid ,PLT ,PDW and MPV .Methods Hp antibody in serum was tested by immune colloidal gold assay among of health population .And serum lipids ,glucose ,uric acid ,PLT ,PDW and MPV were measured in some subjects . A retrospective analysis was done to the data of 2 147 cases in health examination population .Results The infection rates of Hp was 38 .80% (833/2 147) in 2 147 cases .Among them ,the infection rate in male was 41 .10% (538/1 309) ,and which in female was 35 .20% (295/838) ,it was statistical difference in the infection rate in between male and female(P<0 .05) .The infection rate in age group(40 to 49) was higher than which in other age group and It was statistically significant (P<0 .05) ,and there were significant difference in between male age group and in female age group(P<0 .05) .Comparing the control group ,the serum levels of TC , LDL‐C were significantly higher(P<0 .05) ,while the serum level of HDL‐C was obviously lower(P<0 .05) .In patients with Hp infection and TC>5 .17 mmol/L ,the level of glucose and uric acid were significantly higher(P<0 .05) .Conclusion The distribu‐tion of the Hp infection was difference in gender and age;The infection of HP can effect the metabolism of serum lipids ,glucose and uric acid .

OBJECTIVE To understand the status of the hospital infection and risk factors,as well as the existing problems of infection management,to improve the surveillance method of incidence rate of hospital infection and strengthen the infectious precaution and control measures.METHODS By efforts of the professional staff of hospital,with cooperateion of the clinic personnel infection management group,all the patients in hospital were investigated when sampled from zero hour of the day before investigation to the zero hour of the day of investigation,according to the requirement of nosocomial infection rate to design the questionnaire.The data were analyzed.RESULTS The patients investigated in hospital were 638,from them 38 cases with hospital infections were found,the incidence and case-time rates of hospital infection were 6.0% and 7.4%,respectively.Respiratory infection was the most common.CONCLUSIONS Compared with the investigation method used previously,the current approach is easy and standardized.It also provides the credible reference to improve infection surveillance and management.

Objective To investigate the cytomegalovirus( CMV) infection in children of Wuhu City. Methods Serum samples from children n=874 were tested for CMV-IgM using commercial ELISA kits. Re-sults The CMV-IgM detective rate of serum samples from 874 children was 4. 46%. The positive rate of CMV-IgM was 4. 89%(26/531cases)and 3. 79%(13/343 cases)in boys and girls,respectively. There was no signifi-cant difference in the positive rate of CMV-IgM between boys and girls(χ2 =0. 37,P>0. 05). The positive rate peaked in children at age of >6 months~1 year(10. 19%). Clinical manifestations included liver dysfunction, neurological diseases,jaundice and pneumonia. Conclusion The positive rate of CMV-IgM in children in local district of Wuhu city is high,which should be given due attention.

Objective: To investigate the effects of physical activity (PA) intensity and sedentary behavior (SB) on calcanues bone mineral density (BMD) in preschool children, so as to provide a basis for rationalizing the daily physical activity of preschool children to promote bone health. Methods: A total of 673 pre school children aged 3-6 years from nine kindergartens in Pingxiang City, Ganzhou City and Yingtan City of Jiangxi Province, were selected from September to December 2021 by using the whole stratified cluster random sampling method. The PA levels and SB were measured by using a three axis acceleration sensor, and left calcanues BMD was measured by an ultrasound bone densitometer. Multiple linear regression was used to explore the effects of changes in PA on calcanues BMD in pre school children of all ages. Results: Of the 673 preschoolers surveyed, 498 (74.0%) achieved an average of ≥60 min of moderate to vigorous physical activity (MVPA) per day, there were 265 boys (71.2%), and 233 girls ( 77.4 %). The difference between genders was not statistically significant ( χ 2=2.77, P >0.05). There was no statistically significant difference in the BMD test of the calcaneus bones of preschoolers by gender ( Z=0.42, P >0.05). The difference in BMD results of pre school children with 3, 4, 5 to 6 years was statistically significant ( H=2.65, P <0.05). Correlation analysis revealed a negative correlation between SB duration and calcaneus BMD ( r =-0.13), and a positive correlation between low intensity physical activity (LPA) duration, MVPA duration, and calcaneus BMD ( r =0.14, 0.25 ) ( P <0.05). Multivariate linear regression analysis showed that SB duration negatively correlated with calcaneus BMD, whereas LPA and MVPA duration positively correlated with calcaneus BMD ( P <0.05). Conclusions MVPA duration is positively correlated with the growth of BMD in the heel bone and negatively correlated with SB. The kindergartens can adjust their curricula according to the physical and mental developmental characteristics, gender and age differences of pre school children, increase the time of outdoor activities, and reduce the sedentary time to promote the bone health of young children.

Objective:To investigate the value of radiomics based on three-dimensional high resolution MR vessel wall imaging (3D HRMR-VWI) for identifying culprit plaques in symptomatic patients with middle cerebral atherosclerosis.Methods:The clinical and imaging features of 117 patients (139 middle cerebral artery plaques) with cerebrovascular diseases in Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from October 2018 to October 2020 were respectively reviewed. Stratified random sampling was used to divide 139 plaques into training set (97 plaques) and validation set (42 plaque) at the ratio of 7∶3. The plaques were divided into 69 culprit plaques and 70 non-culprit plaques based on plaque MR features and clinical symptoms. The clinical and imaging characteristics of culprit plaques and non-culprit plaques were compared by independent sample t-test, Mann-Whitney U test and χ 2 test, and factors with significant difference between two groups in univariate analysis were further analyzed by multivariate logistic regression to find out the independent predictors of culprit plaques. Radiomics features were extracted, screened and radiomics model was constructed using pre-and post-contrast 3D HRMR-VWI based on the training set. The combined model was constructed by combining the independent predictors and radiomics model. Receiver operating characteristic curve and area under curve (AUC) were used to evaluate the efficacy of each model, and DeLong test was used to compare the efficacy of different models. Results:Significant difference was found in intraplaque hemorrhage, lumen area of stenosis, stenosis diameter, stenosis rate, plaque burden and enhancement rate between culprit and non-culprit plaques (all P<0.05). Multivariate logistic regression analysis confirmed that only intraplaque hemorrhage was the independent predictor for culprit plaques (OR=7.045,95%CI 1.402-35.397, P=0.018). In the validation set, the AUC of the pre-contrast 3D HRMR-VWI model was lower than that of the post-contrast 3D HRMR-VWI model ( Z=-2.01, P=0.044). The AUC of pre+post-contrast 3D HRMR-VWI model was not significantly different from that of post-contrast 3D HRMR-VWI model ( Z=0.79, P=0.427). The AUC showed no significant difference between combined model and pre+post-contrast 3D HRMR-VWI model ( Z=-0.59, P>0.05). The combined model showed the best performance in predicting culprit plaques of middle cerebral artery (AUC=0.939), with the sensitivity, specificity and accuracy of 95.24%, 76.19% and 85.71%. Conclusion:Radiomics based on 3D HRMR-VWI has potential values in identifying culprit plaques in symptomatic patients with middle cerebral atherosclerosis.

Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825–0.910) in the training cohort and 0.890 (0.844–0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcomes.