Objective To test the reliability and validity of the Chinese version of Osteoporosis Knowledge Assessment Tool (OKAT).Methods The English version of OKAT was introduced and the Chinese version was confirmed by translation,revision,retroversion and expert discussion.A sample of 400 community-living aged people were recruited to complete the OKAT (Chinese version).Internal consistency test,split-half reliability,correlation analysis,items analysis,content validity,exploratory factor analysis,confirmatory factor analysis and ROC curve were used for examination.Results The Cronbach's α of the total scale was 0.821.The split half reliability coefficient was 0.934,test-retest reliability was 0.866,inter rater reliability coefficient was 0.786,the correlations between items and total scale ranged from 0.163 to 0.542.A two-factor model containing 20 items was got by exploratory factor analysis,the cumulative contribution rate of the items was 75.528 percent.The confirmatory factor analysis revealed a good model fit.Conclusions The Chinese version of the OKAT in the elderly is proved to be reliable and valid.It can be used to assess osteoporosis for the aged people in China.

Objective:To find effective methods to improve the distribution and usage efficiency of pre-hospital epidemic emergency care resource (PEECR) by analyzing the PEECR allocation and usage in Jinan City during the coronavirus disease 2019 (COVID-19) epidemic.Methods:Correlation significance test between the COVID-19 epidemiology sample and the PEECR allocation sample was conducted to estimate whether they came from the same population in Jinan from January 24 to June 30, 2020. The data used in empirical analysis were collected from the Health Commission of Shandong Province's daily epidemic information announcement (definite case increment, suspected case increment, suspected case stock, medical observation stock, close contact increment) and interview with some epidemic branch centers in Jinan City (vehicle using increment). Experiential analysis was used to analyze the waste of PEECR usage.Results:All the 5 COVID-19 epidemiology samples and the PEECR allocation sample came from different population. There was no correlation between the vehicle using increment and definite case increment, suspected case increment, suspected case stock, close contact increment (all P < 0.05), there was a weak correlation between the vehicle using increment and medical observation stock [the correlation coefficient was 0.048, ∈ (0.0, 0.2), P = 0.550]. There was systematic difference between PEECR indicator and COVID-19 epidemiology indicator. The waste in practice was also amplified by improper usage such as unsophisticated allocation, low effectiveness in primary units and unvalid emergency calling. Conclusions:① A primary screening system should be established in control center to decrease the waste of efficiency. ② Communities and units should improve overall epidemic dealing ability to assist emergency system. ③ The medical treatment ability and protection resource should be increased in normal pre-hospital care.

Objective To investigate the mechanism of Yiqi Tongmai Powder(Ginseng Radix et Rhizoma,Salviae Miltiorrhizae Radix et Rhizoma,Notoginseng Radix et Rhizoma,Hirudo,Eupolyphaga Steleophaga,Rhei Radix et Rhizoma)against cerebral ischemia-reperfusion injury(CIRI)based on network pharmacology,molecular docking and experimental verification.Methods(1)The active components of Yiqi Tongmai Powder and their action targets were screened by TCMSP,TCMID and ETCM databases,the disease related targets of CIRI were screened by GeneCards,OMIM and TTD disease databases,and the intersection targets of the above targets were obtained through Venny 2.1 online platform,that is,the potential targets of Yiqi Tongmai Powder in the treatment of CIRI.The"drugs-active components-targets"network was constructed by Cytoscape 3.7.1 software,and the potential active components of Yiqi Tongmai Powder in the treatment of CIRI were screened.Protein-protein interaction(PPI)analysis of potential targets was carried out by STRING 11.0 database to screen core targets.The GO function and KEGG pathway enrichment of potential targets were analyzed by Metascape database.AutoDockTools 1.5.7 software was used to verify the molecular docking between the key active components and the core targets.(2)The rat model of CIRI was established by middle cerebral artery occlusion and reperfusion(MCAO/R).SD rats were randomly divided into sham operation group,model group,Yiqi Tongmai Powder low-dose group(0.27 g·kg-1),Yiqi Tongmai Powder high-dose group(1.08 g·kg-1)and Nimodipine group(30 mg·kg-1),with 10 rats in each group.Pre-administration began three days before the establishment of the model,once a day for seven days.The neurological deficit of MCAO/R rats was evaluated by modified neurological deficit score(mNSS).The volume of cerebral infarction was measured by TTC staining.Nissl staining was used to observe the damage of neurons in brain tissue.ELISA method was used to detect serum inflammatory factors and oxidative stress related indexes.TUNEL staining was used to detect brain tissue apoptosis.Western Blot method was used to detect the protein expressions of Bax and Bcl-2 in brain tissue.Results(1)A total of 46 active components and 178 potential targets of Yiqi Tongmai Powder in the treatment of CIRI were obtained.The key active components such as quercetin,digitalis flavonoids,kaempferol,valine and uracil were analyzed,and the core targets such as TNF,IL-6,STAT3,VEGFA,AKT1,IL-1β,CASP3,TP53,MAPK3 and EGFR were analyzed.The potential targets are involved in inflammation,oxidative stress,cell proliferation and differentiation,apoptosis and other biological processes,including cAMP,NF-κB,PI3K-Akt and other signal pathways.The main active components quercetin,flavonoids of digitalis,kaempferol and valine have good binding activity to target proteins such as TNF,IL-6,STAT3 and VEGFA.(2)Compared with the model group,the neurological deficit score of rats in each treatment group was significantly decreased(P＜0.05,P＜0.01),the area of cerebral infarction was significantly decreased(P＜0.01),and the pathological changes of ischemic necrotic area of brain tissue were improved.The number of neurons in ischemic area of brain tissue was significantly increased(P＜0.01),and the rate of neuronal apoptosis was significantly decreased(P＜0.01).The levels of serum IL-1β,IL-6,TNF-α and MDA were significantly decreased,while the activities of SOD and GSH-Px were significantly increased(P＜0.05).The protein expression of Bax in brain tissue were significantly decreased and the protein expression of Bcl-2 significantly increased(P＜0.05).Conclusion Yiqi Tongmai Powder may play an anti-CIRI effect by reducing inflammation and oxidative stress,inhibiting cell apoptosis.

Objective To evaluate the long-term prognostic value of coronary CT angiography-derived fractional flow reserve(CT-FFR)in elderly patients with coronary heart disease(CHD).Methods A retrospective analysis was performed on 1133 patients with clinically suspected CHD from a prospective observational study based on coronary CTA and CT-FFR at the General Hos-pital of Eastern Theater from April 2018 to March 2019,and 330 elderly CHD patients were even-tually included.According to major adverse cardiovascular events(MACE)occurred or not,295 patients were assigned into non-MACE group and 35 patients into the MACE group.Based on cor-onary CTA data,plaque features were analyzed and CT-FFR values were measured in all lesioned vessels.The relationship of plaque features and CT-FFR with MACE was evaluated by using Cox proportional risk regression model,Kaplan-Meier survival curve,and ROC curve analyses.Results The patients with coronary stenosis(≥50％)or CT-FFR value ≤0.8 had a higher risk of MACE(P＜0.01).Univariate Cox analysis showed that coronary stenosis ≥50％and CT-FFR value 0.8 were risk factors of MACE(P＜0.01).After adjusting confounding factors,multivariate Cox analysis indicated that CT-FFR ≤0.8(HR=17.037,95％CI:5.060-57.358,P=0.000)was only independent predictor for MACE.The risk prediction model based on CT-FFR presented better performance than the model based on coronary CTA stenosis(C-index:0.820 vs 0.696,P=0.000).Conclusion CT-FFR≤0.8 is an important independent predictor for long-term MACE in elderly CHD patients.Clinical risk stratification based on CT-FFR may optimize prognostic man-agement strategies in these patients.

OBJECTIVE To investigate in vitro activities of 12 antimicrobial agents including cefmetazole against extended-spectrum beta-lactamases-producing Escherichia coli(528 strains),Klebsiella pneumoniae(311 strains) and Proteus mirabilis(15 strains).METHODS They all collected from 15 teaching hospitals in China during 2005 and 2006 and included in the study.The levels of minimal inhibitory concentration(MIC) of 12 antimicrobial agents were determined by agar dilution method.WHONET 5.4 Software was used to analyze the data.RESULTS Against ESBLs-producing E.coli and ESBLs-producing K.pneumoniae,carbapenems were the most active antimicrobial agents(all 100.0% susceptible),followed by cephamycins(80.1-97.3%).Piperacillin/tazobactam(78.5-95.1%)showed a higher activity than cefoperazone/sulbactam(44.1-56.2%).The susceptible rate to ceftazidime against ESBLs-producing E.coli was remarkably higher than the other three cephalosporins,however the differences did not happen to ESBL-producing K.pneumoniae obviously.The susceptible rate to cefuroxime was below 1.6%.ESBLs-producing K.pneumoniae showed high sensitivity to carbapenems,cephamycins and ?-lactam/lactamase inhibitor combinations(all 100% susceptible),however the susceptible rates to cephalosporins were relatively lower.CONCLUSIONS Carbapenems and cephamycins remain the relatively high activity against ESBLs-producing Enterobacteriaceae.

Objective To evaluate the differential diagnostic value of IVIMGDWI in hepatocellular carcinoma (HCC)and atypical hepatic hemangioma (H H).Methods 3.0T MR images of 28 patients with HCC and atypical H H confirmed respectively by surgical or pathological diagnosis were retrospectively analyzed.3.0T MR routine and DWI multiple b value sequences were performed,and the related derivative parameters of IVIMGDWI (intravoxel incoherent motion diffusion,MRI)were obtained.GE ADW4.6 Functool automatic postGprocessing software and statistical methods were used for multiGparameters analyses,and the ROC curve was established to predict the value of the differential diagnosis.Results The values of ADC,slow diffusion coefficient (D)and perfusion fraction (PF)between HCC and atypical HH were statistically significant(P＝0.00,P＝0.021 ,P＜0.05 ),that was to say,there were significant differences in IVIMGDWI multiparameter comparisons between the HCC and atypical HH.And the value of fast diffusion coefficient (D?)was not statistically significant between HCC and atypical HH (P＝0.112,P＞0.05),that was to say,there was no significant difference in the multiparameter comparison between the HCC and atypical HH;The specificity and sensitivity of IVIMGDWI in HCC were from high to low:D (97.8%)＞ADC(97.4%)＞PF (82.9%),and the specificity and sensitivity of IVIMGDWI in atypical H H were D (9 7.1%)＞ADC (87.1%)＞PF (6 7.9%),from high to low,while D? was not statistically significant.Conclusion It is characteristic for the imaging manifestation of HCC and atypical HH with IVIMGDWI imaging,that is one of the important methods for clinical diagnosis and differential diagnosis of HCC and atypical HH.

Objective:To investigate the clinical characteristics and risk factors of frailty syndrome in elderly patients undergoing maintenance hemodialysis (MHD) and the effect of frailty syndrome on all-cause mortality.Methods:This was a prospective cohort study. MHD patients aged≥60 years in 5 hemodialysis centers in Beijing from April to June 2017 were selected as the study subjects. Baseline data were collected and compared, and the patients were then classified into non-frailty, pre-frailty and frailty syndrome groups according to the Fried criteria and followed up until June 2018. The end point event was all-cause death. Multivariate logistic regression was used to analyze the independent risk factors of frailty syndrome. Kaplan-Meier survival analysis was used to compare the difference in the cumulative survival rate among the 3 groups. A multivariate Cox regression model was used to analyze the independent risk factors of all-cause mortality.Results:A total of 204 patients aged (71.65±5.89) years (60-81 years) were enrolled into this study, including 123 males (60.29%), 147 patients (72.06%) in the frailty syndrome group, 41 patients (20.10%) in the pre-frailty group, and 16 patients (7.84%) in the non-frailty group. Patients with frailty syndrome tended to be older, longer dialysis vintage, a higher proportion of diabetes, lower urea clearance index (Kt/V) and lower serum albumin level (all P<0.05). Multivariate Logistic regression showed that factors independently associated with frailty syndrome included age ( OR=1.393, 95% CI 1.241-1.563, P<0.001), history of diabetes ( OR=3.610, 95% CI 1.262-10.327, P=0.017), dialysis vintage ( OR=1.011, 95% CI 1.002-1.020, P=0.019), Kt/V ( OR=0.711, 95% CI 0.516-0.979, P=0.037), serum albumin ( OR=0.754, 95% CI 0.644-0.882, P<0.001) and intact parathyroid hormone (iPTH, OR=1.344, 95% CI 1.024-1.763, P=0.033). Kaplan-Meier survival analysis showed that the cumulative survival rate in frailty syndrome group was significantly lower than those of pre-frailty (Log-rank χ2=7.265, P=0.007) and non-frailty groups (Log-rank χ2=5.238, P=0.022). Multivariate Cox regression analysis indicated that frailty syndrome ( HR=3.832, 95% CI 1.116-13.157, P=0.033), age ( HR=1.074, 95% CI 1.014-1.136, P=0.014), history of diabetes ( HR=2.009, 95% CI 1.067-3.784, P=0.031), cognitive impairment (Montreal cognitive assessment<26, HR=2.627, 95% CI 1.142-6.042, P=0.023), Kt/V ( HR=0.701, 95% CI 0.545-0.902, P=0.006), serum albumin ( HR=0.891, 95% CI 0.806-0.986, P=0.025) and iPTH ( HR=1.226, 95% CI 1.100-1.367, P<0.001) were independently associated with all-cause mortality. Conclusions:The prevalence of frailty syndrome in elderly patients undergoing hemodialysis is high. Ageing, diabetes history, long dialysis vintage, low levels of Kt/V and serum albumin, and elevated iPTH level are independent risk factors for frailty syndrome in such patients. Frailty syndrome is independently associated with an increased risk of all-cause mortality.

Objective To determine the effect of crocin regulating miR-139-5p/ATF4 axis on myo-cardial injury and energy metabolism in rats with CHF.Methods A total of 84 male SPF SD rats were randomly divided into sham operation group,model group,crocin low-,medium-and high-dose groups,captopril group and crocin+miR-139-5p inhibitor group,with 12 in each group.Car-diac function indexes,myocardial histomathological morphology,apoptotic rate,myocardial injury indexes,heart failure indexes,inflammatory indexes,oxidative stress indexes,myocardial ATP content,SDH activity,and miR-139-5p and ATF4 mRNA expression levels were detected in rats.The targeting relationship between miR-139-5p and ATF4 was verified.Results Compared with the conditions in the model group,crocin treatment at different doses reduced apoptotic rate of cardiomyocytes,decreased MDA content,LVEDD and LVESD values and cTnI,cTnT,CK-MB,NT-proBNP,TNF-α and IL-1β levels,and declined ATF4 mRNA level,and increased LVEF and LVFS values,SOD activity,ATP content,SDH activity and miR-139-5p level(P＜0.05).Com-pared with the crocin high-dose group,the crocin+miR-139-5p inhibitor group had higher apop-totic rate of cardiomyocytes[(22.68±3.25)％vs(11.94±1.38)％,P＜0.05],increased LVEDD and LVESD value,raised MAD content and cTnI,cTnT,CK-MB,NT-proBNP,TNF-α and IL-1βlevel,and elecated ATF4 mRNA level,and decreased LVEF and LVFS value,SOD activity,ATP content,SDH activity and miR-139-5p level(P＜0.05).There was a targeting relationship be-tween miR-139-5p and ATF4.Conclusion Crocin can improve myocardial injury and energy me-tabolism in CHF rats,which may be related to its regulation of miR-139-5p/ATF4 axis.

Objective To explore the relationship between geriatric nutritional risk index(GNRI)and adverse outcomes in elderly patients undergoing maintenance hemodialysis(MHD).Methods A prospective cohort trial was conducted on 337 MHD patients aged ≥60 years in hemodialysis centers of 11 hospitals in Beijing from April to June 2017.Their baseline data were collected,and they were divided into non-malnutrition(GNRI≥98,226 cases),mild malnutrition(92≤GNRI＜98,81 cases),and major malnutrition groups(GNRI＜92,30 cases).All of them were followed up until June 2018.The endpoint events were all-cause mortality and cardiovascular disease(CVD)mortality.Kaplan-Meier survival analysis was used to compare the cumulative survival rate among the 3 groups.Multivariate Cox regression model was employed to analyze the relationship of GNRI with all-cause and CVD mortality.Results The mild and major malnutrition groups had significantly lower BMI,serum albumin level and GNRI(P＜0.01).During the median follow-up of 52(4.4-52.0)weeks,56(16.6％)patients died of all-cause death and 25(44.6％)of CVD death.Kaplan-Meier survival curve showed significant differences in all-cause mortality(x2=30.484,P＜0.01)and CVD mortality(x2=22.398,P＜0.01)in the 3 groups.Multivariate Cox regression analysis indicated that,as a continuous variable,elevated GNRI was a protective factor for all-cause mortality(HR=0.910,95％CI:0.870-0.952,P=0.000)and CVD mortality(HR=0.895,95％CI:0.852-0.940,P=0.000),and as a categorical variable,mild and major malnutri-tion were independently correlated with all-cause and CVD mortality(P＜0.05).Conclusion GNRI is an independent risk factor for all-cause and CVD mortality in elderly MHD patients.Mo-nitoring the nutritional status using GNRI can predict the risk of adverse prognosis.

Objective:To explore the relationship between geriatric nutritional risk index (GNRI) and modified creatinine index (mCI) and all-cause mortality in maintenance hemodialysis (MHD) patients.Methods:It was a prospective cohort study. The MHD patients aged≥50 years old at hemodialysis centers of eleven hospitals in Beijing from April to June 2017 were selected as subjects. Baseline clinical data of the patients were collected. The patients were divided into high GNRI group (≥98) and low GNRI group (<98), and high mCI group (≥20.16 mg·kg -1·d -1) and low mCI group (<20.16 mg·kg -1·d -1), and further divided into 4 groups: G1 group (high GNRI and high mCI), G2 group (high GNRI and low mCI), G3 group (low GNRI and high mCI) and G4 group (low GNRI and low mCI). The differences of clinical characteristics among the four groups were compared. The patients were followed-up until June 2018 or death or loss, and the endpoint event was all-cause mortality. Kaplan-Meier survival analysis was used to compare the differences of the cumulative survival rates among the four groups. A multivariate Cox regression model was used to analyze the relationship between GNRI and mCI and all-cause mortality. Results:A total of 613 patients were included in the study, aged (63.65±7.78) years old (ranged from 50 to 81 years old), with 355 males (57.91%). The GNRI and mCI were (99.35±5.75) and (20.16±2.79) mg·kg -1·d -1, respectively. There were 232 patients (37.85%) in the G1 group, 177 patients (28.87%) in the G2 group, 95 patients (15.50%) in the G3 group, and 109 patients (17.78%) in the G4 group. There were statistically significant differences in age, sex, proportion of diabetes, proportion of coronary heart disease, body mass index, serum albumin and serum creatinine among the four groups (all P<0.05). A total of 69 patients (11.26%) died during a median follow-up time of 52(4, 52) weeks. Kaplan-Meier survival curve results showed that the mortality of patients with low GNRI was higher than that of patients with high GNRI (log-rank χ 2=26.956, P<0.001), and the mortality of patients with low mCI was higher than that of patients with high mCI (log-rank χ 2=25.842, P<0.001). The mortality was 3.45% in group G1, 10.73% in group G2, 9.47% in group G3, and 30.28% in group G4, and the differences among the four groups were statistically significant (log-rank χ 2=57.153, P<0.001). Multivariate Cox regression analysis results showed that as continuous variables, GNRI ( HR=0.911, 95% CI 0.882-0.941, P<0.001) and mCI ( HR=0.873, 95% CI 0.797-0.956, P=0.003) were correlated with all-cause death. As categorical variables, compared with high GNRI group and high mCI group, patients with low GNRI ( HR=3.469, 95% CI 2.125-5.665, P<0.001) and low mCI ( HR=3.255, 95% CI 1.879-5.640, P<0.001) had higher risks of death. Compared with G1 group, patients in G2 group ( HR=2.488, 95% CI 1.079-5.738, P=0.033) and G4 group ( HR=9.449, 95% CI 4.362-20.470, P<0.001) had higher risks of death. Conclusions:GNRI and mCI are independent predictive factors of all-cause mortality in MHD patients. The combination of GNRI and MCI can more accurately predict the risk of all-cause death in middle-aged and elderly MHD patients.