Asingleparticle-inductivelycoupledplasmamassspectrometric(SP-ICP-MS)methodwas established to detect the size distribution and number concentrations of silver nanoparticle ( AgNPs) in dilute aqueous solution. The optimal dwell time was 3 ms to reduce possibility of two or more particles entering into detector simultaneously. An iterative algorithm was applied to distinguish AgNPs as outliers from baseline and dissolved metal ion signal if the measured intensity was beyond five time standard deviation of whole data. Size distribution and number concentration of three commercial silver nanoparticle dispersions ( nominal diameters of 30, 50, 100 nm) were determined using SP-ICP-MS. The result of SP-ICP-MS is accurately similar to the transmission electron microscopy ( TEM) , indicating that SP-ICP-MS is able to size silver nanoparticles. The particle size detection limit is 25 nm and the limit of number concentration is 8 × 104 particles/L in dilute solution. Tap water added with silver nanoparticle was tested to obtain a similar size distribution and number concentration. This method is simple, fast and highly sensitive, which can be used to investigate risk assessment of silver nanoparticle in aqueous environment and monitor silver nanoparticle in drinking water.

Objective·To investigate the effects of a novel chitosan-silver nitrate gel (CSNG) dressing on anti-septic in wound healing.Methods·By using the ion membrane,the release rate of the new composite materials of silver ion was tested in vitro.Meanwhile,the anti-septic effects of CSNG on methicillin resistant Staphylococcus aureus (MRSA),Escherichia coli and Candida albicans were tested by colony counting.The rat wound healing model was used to detect the ability of new material to kill MRSA in vivo.Results·Compared with control group,the release of silver ions of CSNG was much slower.Sterilization experiment showed that CSNG killed the MRSA,Escherichia coli and Candida albicans much more efficiently,compared to that in the other treatments.Animal experiments also showed that CSNG promoted the rats of wound healing.Conclusion·Combining chitosan with silver nitrate and supplementary material could develop a novel chitosan-silver nitrate gel material,which not only has the obvious effects on antibacterial,but also on promoting wound healing.

Objective·To investigate effect and the possible molecular mechanism of JQ1,a specific inhibitor of bromodomain containing protein 4,on human hypertropic scar.Methods·Primary fibroblasts were isolated from human hypertrophic scars and treated with JQ-1 of different concentrations (0.1,0.5,1.0,2.0,2.5,and 12.5μmol/L) for 48 h.Then CCK-8 kit and wound healing assay were used to measure proliferation and migration of the fibroblasts.ELISA was adopted to detect the levels of collagen type Ⅰ (COL Ⅰ) and TGF-β1 after JQ-1 treatment for 24 h.Thirty-six nude mice were used for hypertrophic scar models.Human hypertrophic scars (1.0 cm× 1.0 cm×0.5 cm) were grafted subcutaneously at the backs of nude mice to establish scar animal models.After 4 weeks,the nude mice were averagely divided into two groups,i.e.JQ-1 group and DMSO group,which were respectively injected with 0.5 μmol/L JQ-1 and 0.1％ DMSO each mouse every day.COL Ⅰ / Ⅲ and α-smooth muscle actin (α-SMA) were examined by immunohistochemical method and sirius red staining.Results·Cell experiments showed that JQ-1 with the concentration of 0.5 μmol/L and above significantly inhibited proliferation of fibroblasts (P＜0.01).JQ-1 inhibited migration of fibroblast (P＜0.01).JQ-1 inhibited secretion of COL Ⅰ and TGF-β1 of fibroblasts (P＜0.01).Animal experiments showed that concentration and proportion of COL Ⅰ / Ⅲ in JQ-1 group decreased compared to DMSO group (P＜0.05).α-SMA protein expression in JQ-1 group also decreased (P＜0.05).Conclusion·JQ-1 can inhibit proliferation,migration,secretion of COL Ⅰ,and production of TGF-β1 of human sear fibroblasts in vitro;it can also inhibit secretion of COL Ⅰ /Ⅲ and fibroblast-myofibroblast differentiation in the human hypertrophic scars in nude mice.

Objective To compose and evaluate the measurement uncertainty of two kinds of chemiluminescence detection system using different methods.Methods The measurement uncertainty was composed by 4 different methods:(1) U 1％ was composed of within-run CV(CVw ％),between-run CV(CVB ％)and bias (CVBias ％);(2) U2％ was composed of CVB ％ and uncertainty of calibration (CVcal ％);(3) U3％ was composed of CVW％,CVs％ and CVcal％;(4) U4％ was composed of CVW％,CVB％,CVBias％ and CVcal％.The measurement uncertainty of Architect i2000SR system (Abbott,USA) and DXI800 system (Beckman,USA) was assessed.Pearson correlation analysis,Spearman correlation analysis,Paried t test and Mann-Whitney u test were performed to analyze the data.Results For Architect i2000SR system,U1％,U2％,U3％ and U4％ were significantly correlated (r=0.727-0.988,all P＜0.05),U3％ and U2％ were significantly different (t =6.88,P＜0.05),U4％ and U1％ were significantly different (t =6.21,P＜0.05).For DXI800 system,U1％,U2％,U3％ and U4％ were also significantly correlated (r =0.608-0.975,all P＜0.05),no significant difference was found between U3％ and U2％ (z=-1.33,P＞0.05),or between U4％ and U 1％ (z =-1.04,P＞ 0.05);the expanded measurement uncertainty was correlated with CVW％,CVB％,CVBias％(rs=0.653-0.912,all P＜0.05),but not with CVcal％(rs=0.548,P＞0.05).Conclusions For Architect i2000SR system,the fourth method is more proper to compose the measurement uncertainty (U4％).For DXI800 system,the first method is more appropriate (U1％).According to the contribution of different components to the measurement uncertainty,the measurement quality could be improved by reducing the imprecision and bias.

Objective:To see the influence of different antiplatelet therapies on stroke patients’ readmission by performing a deep data-mining into Beijing Healthcare Insuring Database,based on a large sample size.Methods:Aretrospective cohort study,was adopted to extract patients primarily diag-nosed as ischemic stroke from healthcare database.The first hospital records were considered as the pa-tient’s baseline in this study,who were divided into MAPT (aspirin)and DAPT (aspirin and clopi-dogrel)according to the patient’s baseline medications.A follow-up was conducted to see whether the patients would have rehospitalization record because of major result events after medication.The major re-sult events,included:(1 )recurrence of ischemic stroke;(2)hemorrhagic transformation of ischemic stroke;(3)myocardial infarction;(4)the digestive hemorrhage.The Kaplan-Meier figure was used to compare the survival situations between these two groups,the log-rank test was used to test the difference of the survival curve,and 1 ∶1 propensity score matching was calculated from the patients’baseline da-ta.Cox proportional hazards model was used to calculate the hazard ratio (HR).Results:A total of 27 695 patients From January 201 0 to September 201 3 were included,4 047 with DAPT,and 23 648 with MAPT.Because the baseline characteristics of the patients was disequilibrium,so we used 1 ∶1 pro-pensity score matching,after which,the number of the two groups was 4 046 each.Adjusted for the gen-eral demographic characteristics such as age,sex,nationality,complication and drug combination,no statistical significance was observed between the survival curves of the two groups (P =0.06).HR value of major result events between the groups was 0.91 (0.82 -1 .01 ,P =0.07),which was not statistically significant.The covariate gender HR =1 .36 (1 .20 -1 .55,P <0.05),accompanied by diabetes HR =1 .36 (1 .20 -1 .54,P <0.05 ),dyslipidemia HR =1 .1 3 (1 .00 -1 .27,P =1 .1 3),heart disease HR =1 .39 (1 .22 -1 .58,P <0.05)was statistically significant.Drug combination with other antiplate-let agents HR =1 .05 (0.95 -1 .1 7,P >1 .05)did not increase the risk of readmission.Conclusion:There was no difference in prevention of readmission between patients with DAPT and MAPT.Patients with complications should actively treat the complications at the same time as they prevent recurrence after first attack.

Objective:Through determination of urinary arsenic metabolites in high water arsenic exposed areas of Jilin and Shanxi provinces, to explore the mode and possible influencing factors of arsenic metabolism in different populations.Methods:From October 2018 to August 2019, a cluster sampling was carried out in villages (arsenic in drinking water ≥0.05 mg/L) of some townships (towns) in Lyuliang City, Shanxi Province and Baicheng City, Jilin Province for epidemiological investigation and general health examination. The residents over 35 years old drinking water from local centralized water supply and small well water sources were selected as arsenic exposure group, and people (nearby low-arsenic water source areas) with the same diet and living habits and similar economic conditions were selected as control group. Urine samples were collected. Liquid chromatography-atomic fluorescence spectrometry(LC-AFS) technology was used to separate and detect 4 species of arsenic compounds, including trivalent inorganic arsenic (iAs Ⅲ), pentavalent inorganic arsenic (iAs Ⅴ), methylated arsine (MMA), and dimethylated arsine (DMA). Total arsenic (tAs), inorganic arsenic percentage (iAs%), MMA percentage (MMA%), DMA percentage (DMA%), primary methylation index (PMI) and the secondary methylation index (SMI) were calculated. The influencing factors of arsenic metabolism were analyzed by multiple linear regression. Results:A total of 1 415 villagers were investigated, including 1 256 in arsenic exposure group and 159 in control group. Compared with the control group, there were no significant differences in age, gender ratio and occupation distribution between arsenic exposure group and control group ( P > 0.05), but there were significant differences in smoking, drinking, body mass index (BMI) and education level distribution ( P < 0.05). The median of urinary tAs, iAs%, MMA%, DMA%, PMI and SMI in control group and arsenic exposure group were 12.86 μg/L, 15.03, 5.23, 76.35, 84.97, 93.68 and 69.68 μg/L, 10.24, 8.37, 79.31, 89.76, 90.65, respectively, the levels of urinary tAs, DMA% and PMI in arsenic exposed group were higher than those in control group, while iAs% and SMI were lower than those in control group, the differences were statistically significant ( U=- 13.87, - 4.30, - 6.64, - 6.64, - 1.99, P < 0.05). After analysis of the factors influencing urinary arsenic metabolism in the population, we found that age and BMI had an impact on iAs% ( β=- 0.08, - 0.08, P < 0.05); gender, drinking, BMI and education level were influencing factors of MMA% ( β =- 0.11, - 0.09, - 0.07, 0.08, P < 0.05); DMA% was mainly affected by age, gender, BMI and education level ( β = 0.06, 0.09, 0.10, - 0.09, P < 0.05); PMI was mainly affected by age and BMI ( β = 0.08, 0.08, P < 0.05); while SMI was affected by gender, drinking, BMI and education level ( β=0.09, 0.08, 0.08, - 0.09, P < 0.05). Conclusions:The urinary arsenic metabolism models of different arsenic exposed groups are different. Age, gender, smoking, drinking, BMI and education level may be influencing factors of different arsenic metabolism models.

Objective:To explore the related factors for clinical prognoses of ruptured anterior communicating artery (ACoA) aneurysms.Methods:A retrospective study was performed on the clinical data of 309 patients with ruptured ACoA aneurysms admitted to our hospital from January 2014 to January 2020. The preoperative data included age, gender, smoking history, hypertension, Hunt-Hess grading, Fisher grading, sizes of aneurysms, and spasm of parent artery; and the postoperative data included pneumonia, intracranial infection, cerebral hernia, recurrence and re-hemorrhage of aneurysms, and delayed cerebral ischemia. Clinical prognoses were assessed by modified Rankin scale (mRS). Univariate analysis and multivariate Logistic regression analysis were used to determine the independent risk factors for clinical prognoses. Preoperative model (independent risk factors appeared before surgery) and postoperative model (independent risk factors appeared during the whole treatment process) were constructed; based on these Logistic models, the preoperative and postoperative independent risk factors were concluded. Independent risk factors presented in the preoperative and postoperative models were used as variables to analyze the predictive value of the models by receiver operating characteristic (ROC) curve.Results:Among 309 patients, 264 (85.4%) had good prognosis and 45 (14.6%) had poor prognosis. (1) Univariate analysis showed that significant differences were noted in proportion of smoking patients, and patients with hypertension, Hunt-Hess grading IV-V, Fisher grading IV, wide-necked aneurysm, re-hemorrhage of aneurysms, cerebral vasospasm, pneumonia, intracranial infection, cerebral hernia, delayed cerebral ischemia, and postoperative lumbar cistern drainage between good prognosis group and poor prognosis group ( P<0.05). (2) Multivariate Logistic regression analysis showed that Hunt-Hess grading Ⅳ-V ( OR=24.198, P=0.000, 95%CI: 4.288-136.559), Fisher grading Ⅳ ( OR=4.792, P=0.044, 95%CI: 1.040-22.079), spasm of parent artery ( OR=12.136, P=0.005, 95%CI: 2.121-69.426), pneumonia ( OR=8.177, P=0.018, 95%CI: 1.438-46.506), postoperative cerebral hernia ( OR=147.042, P=0.002, 95%CI: 6.386-3385.519) and delayed cerebral ischemia ( OR=606.720, P=0.000, 95%CI: 52.288-7040.088) were independent risk factors for prognoses; postoperative lumbar cister drainage ( OR=0.072, P=0.050, 95%CI: 0.005-1.000) was the independent protective factor. (3) ROC curve showed that the preoperative model (with Hunt-Hess grading IV-V, Fisher grading Ⅳ and cerebral vasospasm as variables) had excellent discrimination with an area under the curve (AUC) of 0.870 ( 95%CI: 0.82-0.93, P=0.000), and the postoperative model (with variables of preoperative model, pneumonia, delayed cerebral ischemia, and herniation as variables) had excellent discrimination (AUC=0.980, 95%CI: 0.97-0.99, P=0.000). Conclusion:Besides decreasing Hunt-Hess grading and Fisher grading, and relieving the arterial spasm, the management of lumbar subarachnoid continuous drainage and avoidance of postoperative complications, such as cerebral hernia, delayed cerebral ischemia and pneumonia, can also play important roles in improving the prognoses of ruptured ACoA aneurysms.

Objective To accurately encode pelvic organ prolapse and ensure data accuracy.Methods ICD-10 coding analysis was performed in combination with the professional knowledge of the International Classification of Diseases(ICD-10)and specific clinical cases of pelvic organ prolapse.Results Vaginal anterior wall prolapse,regardless of severity,was encoded as N81.1;vaginal posterior wall prolapse,regardless of severity,as N81.6;uterine prolapse grade Ⅰ and Ⅱ,regardless of the presence or absence of vaginal anterior and posterior wall prolapse,as N81.2;uterine prolapse grade Ⅲ,whether the prolapse of the anterior and posterior vaginal walls is combined,or what level of the severity of the prolapse,as N81.3;cervical prolapse staging,regardless of severity or presence of vaginal anterior and posterior wall prolapse,as N81.2.In addition,the N81.-code does not include genital prolapse complicating pregnancy(O34.5),prolapse and hernia of ovary and fallopian tube(N83.4),vaginal fornix prolapse after hysterectomy(N99.3).Conclusion To ensure accurate coding,the composite coding rules must be cross-checked with volume one.ICD-10 failed to reflect the severity of vaginal prolapse in clinical practice.To consider the severity,coding should be extended in the N81.-segment.It is essential for coders to actively acquire clinical knowledge,rein-force professional knowledge,and enhance their responsibility to improve their coding proficiency and ensure data accuracy.

Objective To explore the effects of disuse-induced architectural changes in the osteocytic lacunar-canalicular system(LCS)on the fluid dynamic microenvironment of osteocytes under mechanical stimulus.Methods First,taking the axially loaded mice tibia as the object,a multi-scale model of'whole bone-single osteocyte LCS'was established.Subsequently,pressure gradients and other results obtained from the whole-bone poroelastic finite element model were used as boundary conditions for the single-osteocyte LCS model to calculate the flow velocity and shear stress around osteocytes.Finally,a design of experiment(DOE)method was used to determine the individual and interactive effects of the LCS architectural parameters(lacunar volume,lacunar shape,and canalicular diameter)on the osteocytic fluid dynamic microenvironment within the LCS.Results When the lacunar volume,lacunar shape,and canalicular diameter changed from normal to disused,the flow velocity increased by 5.3%,39.3%,and 37.0%,respectively.The DOE results showed that the lacunar shape and canalicular diameter had a significant effect on fluid velocity and shear stress(P<0.05),with a contribution ratio of 0.38∶0.62,whereas the lacunar volume and interaction of architectural parameters had no significant effects.Conclusions Disuse-induced changes in canalicular diameter and lacunar shape were the main factors affecting the osteocytic fluid dynamic environment within the LCS under mechanical stimulus.Appropriate exercise methods are expected to prevent disuse-induced bone loss caused by space weightlessness and other conditions.

Objective To evaluate a model for axillary lymph node involvement combining CK19 mRNA with contrast enhanced ultrasound sonography (CEUS) score in operable breast cancer.Methods Operable breast cancer patients planned for sentinel lymph node (SLN) biopsy were enrolled.Preoperative CK19mRNA expressions in peripheral blood and CEUS score of axillary lymph nodes were tested before surgery.In the training set,postoperative sentinel lymph node (SLN) and non-sentinel lymph node (nSLN) pathological results were taken as the gold standard,effective modeling variables were screened,logistic regression was used to establish the prediction model.Parallel control studies were conducted between the validation set and the MSKCC model to evaluate the prediction accuracy and prediction efficiency.Results From Oct 2015 to Nov 2016,359 cases (training set) were enrolled and mathematical formulas for predicting SLN and nSLN were established,respectively.The sensitivity,specificity and AUC of predicting SLN involvement were 91.36％,94.92％ and 0.979 respectively.The sensitivity,specificity and AUC of predicting nSLN metastasis were 91.04％,90.53％ and 0.932 respectively.From Dec 2016 to Jul 2017,219 cases (verification set) were included.The sensitivity of SLN metastasis predicted by the model was 91.84％,the specificity was 96.69％,and the AUC was 0.979,significantly superior to the MSKCC model (0.739).The sensitivity,specificity and AUC of predicting nSLN metastasis were 95.35％,92.73％ and 0.945 respectively,significantly superior to the MSKCC model (0.873).Concolusions Combined with peripheral blood CK19 mRNA and CEUS score,the prediction model for axillary lymph node involvement for operable breast cancer,SLN/nSLN involvement probability can be calculated and qualitative judgment can be made.The overall accuracy and AUC of this model are better than the prediction model of MSKCC.