OBJECTIVE To investigate the types of bacteria isolated from skin lesions in adolescent patients with ac-ne vulgaris and analyze their drug resistance to commonly used antibacterial drugs.METHODS A total of 80 ado-lescent patients with acne vulgaris admitted to the Seventh Medical Center of Chinese PLA General Hospital from Mar.2022 to Mar.2024 were enrolled.The contents of facial acne skin lesions were collected for bacterial identifi-cation and the E-test method was employed to evaluate the drug resistance rates of isolated bacteria to commonly used antibacterial drugs.RESULTS Among the collected skin lesion samples in this study,74 strains(92.50％)of Propionibacterium acnes,76 strains(95.00％)of Staphylococcus epidermidis and 12 strains(15.00％)of S.aureus were detected.No statistically significant differences were observed in the detection rates of P.acnes,S.epidermidis and S.aureus among patients of different genders,ages,disease courses or severity levels.P.ac-nes exhibited high sensitivity to tetracycline,doxycycline and minocycline(all＞95％)but was almost completely resistant to metronidazole.Its sensitivity rate to macrolides such as erythromycin,clarithromycin,clindamycin,roxithromycin and azithromycin were low(＜50％).S.epidermidis showed sensitivity rates of 67.11％,81.58％and 82.89％to tetracycline,doxycycline and minocycline,respectively,with high drug resistance to metronidazole(96.05％)and low sensitivity rate to erythromycin,clarithromycin,clindamycin,roxithromycin and azithromycin(＜60％).S.aureus demonstrated sensitivity rates of 58.33％,75.00％and 75.00％to tetracycline,doxycycline and minocycline,respectively,while its sensitivity rates to erythromycin,clarithromycin,clindamycin,roxithro-mycin and azithromycin were 33.33％,41.67％,50.00％,41.67％and 33.33％,respectively.CONCLUSIONS The predominant bacteria isolated from skin lesions in adolescent patients with acne vulgaris are S.epidermidis and P.acnes,with a lower detection rate of S.aureus.All three isolated bacteria exhibit high sensitivity to tetra-cycline antibacterial drugs but significant drug resistance to macrolides and near-complete drug resistance to met-ronidazole.

40 patients with choronic periodontitis underwent periodontal basic treatment were randomly divided into 2 groups(n=20).The patients in control group used special toothpaste and toothbrush to brush their teeth after meals,those in the experimental group brushed their teeth with special toothpaste and toothbrush in the morning,evening and after meals,and wore personalized film pressing trays containing cymene care solution while sleeping at night.Gingival bleeding,periodontal pocket depth and attachment loss were ob-served after 4,6 and 10 weeks respectively.The personalized tray combined with cymbidium reduced the depth of periodontal pocket(P＜0.05)and the rate of probing bleeding sites(P＜0.05)more effectively,and showed no statistical significance in the change of attachment loss(P＜0.05).Cymene care solution is effective in the improvement of periodontal health.

Objective To explore and study the new nationwide centralized volume-based procurement model of Chinese patent medicines(CPM),aiming further to promote the normalization and institutionalization of such procurement practices.Methods This study conducts a retrospective analysis of the entire 2023 national CPM procurement process,comparing it with the 19-province alliance procurement,the national chemical drugs procurement,and the national insulin special procurement and highlighting its similarities and differences.Results In contrast to the 19-province alliance procurement,the national CPM alliance procurement introduced a daily average cost rule to reduce the price selection deviation.It also improved and optimized the criteria for qualification,bidding unit formation principles,selection rules,resurrection mechanisms,and principles for allocating procurement volumes under agreements.A comprehensive analysis of the results from two rounds of CPM procurement indicates statistically significant differences in resurrection rates,brand substitution rates,and reduction in selected prices,with the national procurement outperforming the 19-province alliance procurement.Compared with the national chemical drugs and special insulin procurements,this procurement distinctly showcases its unique characteristics.Conclusion The new mode of the national CPM alliance procurement is innovative and has contributed valuable experiences towards the sustained advancement of CPM procurement and establishing a medical insurance payment standard system.

Objective:To explored the application value of dynamic susceptibility contrast-perfusion weighted imaging(DSC-PWI)combined with amide proton transfer(APT)imaging in brian glioma grading.Methods:Retrospective analysis of clinical data of 100 patients with brian glioma admitted to The Second Affiliated Hospital of Xinjiang Medical University from January 2022 to September 2024.They were divided into a low-grade group(WHO grades Ⅰ-Ⅱ,n=62)and high-grade group(WHO grades Ⅲ-Ⅳ,n=38)according to the World Health Organization(WHO)grading system for tumors.All patients underwent DSC-PWI and APT imaging preoperative examinations.Apparent diffusion coefficien(ADC),cerebral blood volume(CBV),cerebral blood flow(CBF),mean transit time(MTT),time to peak(TTP),maximum APT value(APTmax),minimum APT value(APTmin),the average APT value of the whole lesion(APTwhole)were recorded.The general datas and ADC,CBV,CBF,MTT,TTP,APTmax,APTmin,APTwhole of two group were compared.The influencing factors of high-grade brian glioma were analysed by Multivariate logistic regression.The diagnostic value of high-grade brian glioma was analysed of DSC-PWI combined with APT imaging by receiver operating characteristic(ROC)curve.Results:There was no statistically significant difference in age,gender,lesion location,basilar artery occlusion,necrosis and growth pattern between the two groups(P＞0.05),there was a statistically significant difference in the maximum diameter of lesions ≥2 cm and cystic lesions(P＜0.05).The ADC of the high-gradel group was lower than that of the low-grade group,while APTmax,APTmin,APTwhole,CBF,CBV,MTT and TTP were all higher than those of the low-grade group(P＜0.05).Elevated APTmax,APTmin,CBV,MTT,and TTP were risk factors for high-grade brian glioma(P＜0.05),while elevated ADC was a protective factor(P＜0.05).The results of ROC analysis showed that,the area under the curve(AUC)values of APTmax,APTmin,ADC,CBV,MTT,and TTP for diagnostic high-grade brian glioma were 0.830,0.868,0.852,0.843,0.803 and 0.827(all P＜0.05).The results of ROC analysis showed that,the AUC values of the logistic model for diagnostic high-grade brian glioma was 0.993.Conclusion:Single detection of DSC-PWI and APT imaging parameters has high diagnostic value in brian glioma grading,and combined detection of APTmax,APTmin,ADC,CBV,MTT and TTP imaging parameters can further improve diagnostic accuracy.

Objective:To explored the application value of dynamic susceptibility contrast-perfusion weighted imaging(DSC-PWI)combined with amide proton transfer(APT)imaging in brian glioma grading.Methods:Retrospective analysis of clinical data of 100 patients with brian glioma admitted to The Second Affiliated Hospital of Xinjiang Medical University from January 2022 to September 2024.They were divided into a low-grade group(WHO grades Ⅰ-Ⅱ,n=62)and high-grade group(WHO grades Ⅲ-Ⅳ,n=38)according to the World Health Organization(WHO)grading system for tumors.All patients underwent DSC-PWI and APT imaging preoperative examinations.Apparent diffusion coefficien(ADC),cerebral blood volume(CBV),cerebral blood flow(CBF),mean transit time(MTT),time to peak(TTP),maximum APT value(APTmax),minimum APT value(APTmin),the average APT value of the whole lesion(APTwhole)were recorded.The general datas and ADC,CBV,CBF,MTT,TTP,APTmax,APTmin,APTwhole of two group were compared.The influencing factors of high-grade brian glioma were analysed by Multivariate logistic regression.The diagnostic value of high-grade brian glioma was analysed of DSC-PWI combined with APT imaging by receiver operating characteristic(ROC)curve.Results:There was no statistically significant difference in age,gender,lesion location,basilar artery occlusion,necrosis and growth pattern between the two groups(P＞0.05),there was a statistically significant difference in the maximum diameter of lesions ≥2 cm and cystic lesions(P＜0.05).The ADC of the high-gradel group was lower than that of the low-grade group,while APTmax,APTmin,APTwhole,CBF,CBV,MTT and TTP were all higher than those of the low-grade group(P＜0.05).Elevated APTmax,APTmin,CBV,MTT,and TTP were risk factors for high-grade brian glioma(P＜0.05),while elevated ADC was a protective factor(P＜0.05).The results of ROC analysis showed that,the area under the curve(AUC)values of APTmax,APTmin,ADC,CBV,MTT,and TTP for diagnostic high-grade brian glioma were 0.830,0.868,0.852,0.843,0.803 and 0.827(all P＜0.05).The results of ROC analysis showed that,the AUC values of the logistic model for diagnostic high-grade brian glioma was 0.993.Conclusion:Single detection of DSC-PWI and APT imaging parameters has high diagnostic value in brian glioma grading,and combined detection of APTmax,APTmin,ADC,CBV,MTT and TTP imaging parameters can further improve diagnostic accuracy.

Objective To investigate the predictive value of high sensitivity C-reactive protein(hs-CRP)to albumin(ALB)ratio(hs-CRP/ALB)for pulmonary infection in elderly stroke patients.Methods A total of 128 elderly stroke patients admitted to the hospital from February 2021 to February 2023 were selected as the study group,and were divided into the infection group(n=48)and the non-infection group(n=80)according to the pulmonary infection.Another 130 healthy subjects undergoing physical examination were selected as the control group at the same time.The general data of all subjects were collected,and the levels of hs-CRP and ALB in peripheral blood were detected within 24 h after admission,and hs-CRP/ALB was calculated.The gen-eral data and biochemical indicators of each group were analyzed and compared.Receiver operating characteris-tic(ROC)curve was used to evaluate the predictive value of hs-CRP/ALB for pulmonary infection in elderly stroke patients.Binary Logistic stepwise regression analysis was used to explore the influencing factors of pul-monary infection.Results The level of hs-CRP and hs-CRP/ALB in the study group were significantly higher than those in the control group(P＜0.05),and the level of ALB was significantly lower than that in the con-trol group(P＜0.05).The infection group had significantly higher level of hs-CRP and hs-CRP/ALB and a significantly lower level of ALB than the non-infection group(P＜0.05).The ROC curve showed that the are-a under curve(AUC)and 95％CI of peripheral blood hs-CRP and ALB for predicting pulmonary infection in elderly stroke patients was 0.830(0.780-0.880)and 0.860(0.810-0.910),respectively.The AUC(95％CI)of hs-CRP/ALB for predicting pulmonary infection in elderly stroke patients was 0.912(0.862-0.962).Binary Logistic stepwise regression analysis showed that peripheral blood PCT(OR=3.781,95％CI:2.019-7.079),hs-CRP(OR=2.423,95％CI:1.631-3.600),ALB(OR=2.596,95％CI:1.703-3.957)and hs-CRP/ALB(OR=3.564,95％CI:2.158-5.887)were the risk factors for the occurrence of pulmonary infection in elderly stroke patients(P＜0.05).Conclusion The level of hs-CRP/ALB in peripheral blood is in-creased in elderly stroke patients,and is closely related to the occurrence of pulmonary infection.hs-CRP/ALB can be used as an effective biological index to predict pulmonary infection in elderly stroke patients.

OBJECTIVE: Although dietary preferences influence chronic diseases, few studies have linked dietary preferences to mortality risk, particularly in large cohorts. To investigate the relationship between dietary preferences and mortality risk (all-cause, cancer, and cardiovascular disease [CVD]) in a large adult cohort. METHODS: A cohort of 1,160,312 adults (mean age 62.48 ± 9.55) from the Shenzhen Healthcare Big Data Cohort (SHBDC) was analyzed. Hazard ratios ( HRs) for mortality were estimated using the Cox proportional hazards model. RESULTS: The study identified 12,308 all-cause deaths, of which 3,865 (31.4%) were cancer-related and 3,576 (29.1%) were attributed to CVD. Compared with a mixed diet of meat and vegetables, a mainly meat-based diet (hazard ratio [ HR] = 1.13; 95% confidence interval [ CI]: 1.02, 1.27) associated with a higher risk of all-cause mortality, while mainly vegetarian ( HR = 0.87; 95% CI: 0.78, 0.97) was linked to a reduced risk. Furthermore, there was a stronger correlation between mortality risk and dietary preference in the > 65 age range. CONCLUSION A meat-based diet was associated with an increased risk of all-cause mortality, whereas a mainly vegetarian diet was linked to a reduced risk.
Humans ; China/epidemiology* ; Middle Aged ; Male ; Female ; Prospective Studies ; Aged ; Cardiovascular Diseases/mortality* ; Diet/statistics & numerical data* ; Neoplasms/mortality* ; Adult ; Cause of Death ; Food Preferences ; Proportional Hazards Models ; Mortality ; Cohort Studies

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Ferric oxide/nitrogen-doped carbon nanomaterials(Fe2O3/N-C)with high oxidase-like activity were successfully synthesized via the wet chemistry and pyrolysis method using pyrrole and 1,2,3,4-butanetetracarboxylic acid as raw materials and ferric chloride as the oxidant.The structure and morphology of Fe2O3/N-C were characterized by the techniques including scanning electron microscopy,surface scanning elemental analysis,X-ray diffraction,X-ray photoelectron spectroscopy,and Fourier transform infrared spectroscopy.It was revealed that Fe2O3/N-C could efficiently catalyze the conversion of colorless 3,3',5,5'-tetramethylbenzidine(TMB)into blue-colored oxidized TMB(oxTMB).Based on the principle that ascorbic acid(AA)could inhibit the catalytic color-development reaction of Fe2O3/N-C on TMB,resulting in a paler color and a reduction in the absorbance of the system,a colorimetric sensor for sensitive and accurate detection of AA was constructed.The linear range of the sensor for AA detection was 0.25-30.0 μmol/L,and the detection limit was 0.1 μmol/L.Moreover,it was successfully applied to determination of AA in beverage and tablet samples with satisfactory results.