Objective To find out the resistant situation and drug of Mycobacteria patients in Sichuan and offer foundation for clinical.Methods Two hundred randomized clinical isolates of Mycobacterium were determined by Roche drug sensitivity and minimum inhibitory concentration (MIC) method.Results Of the 200 clinical isolates,192 stains were Mycobacterium tuberculosis(MTB) (96.0％),8 strains (4.0％) were non-tuberculosis mycobacterium(NTM).Of the 192 MTB strains,108( 57.3％ ) sensitive strains and 84 (43.7％)stains were resistant to one or more than one drugs.Among these 84 resistant strains 23 were multi-drug resistant ( MDR,12.0％ ),4 were extensively drug resistant( XDR,2.1％ ).The anti-TB drug resistance rates were:SM(16.7％),INH(20.8％),RFP(17.2％),EMB(10.9％),PI(16.1％),LFX(8.8％),AMK ( 16.7％ ),CPM ( 6.2％ ),PTA ( 33.3％ ),respectively.Conclusion The resistance rate of tuberculosis keeps at a high level in Sichuan,especially the resistance rate of multiple (≥4) drug,we should oar attention.

Objective To propose a double watermarking algorithm based on contourlet transform and speckle detection to automatically select the region of interest(ROI)for solving the problems of copyright infringement and malicious destruction of CT and MRI images.Methods The method used speckle detection and singular value decomposition to select the most relevant location in the low frequency domain of the medical image contourlet wave as the ROI,generated a zero-watermarked image in ROI for protecting image integrity,and embed the ROI zero-watermark and the copyright watermark together in the region of non-interest.Results Compared with other double watermarking algorithms,the double watermarking algorithm could greatly improve the invisibility of the carrier image after the attack.The double watermarked images had a structure similarity index measure higher than 94%.Conclusion The proposed double watermarking algorithm incorporating speckle detection and contourlet transform has better robustness against conventional attacks and geometric attacks,and significantly improves the visual quality of carrier images.

Objective: To investigate cardiovascular disease (CVD) prevention status among residents with intra-urban migration in Central China, so as to provide insights into targeted prevention and control of CVD. Methods: Basic data of residents aged 35 to 75 years who participated in Early Screening and Comprehensive Intervention Project for CVD high-risk populations in Central China from September 2015 to August 2020 were collected. According to birth place, type of registered residence and current residence, residents were divided into four groups: local residents in old urban area, local residents in new urban area, other urban migrants and other rural migrants. The status of CVD primary and secondary prevention, were analysed by using a robust Poisson regression model. Results: A total of 76 513 residents were recruited, including 29 420 males (38.45%) and 47 093 females (61.55%), and had a mean age of (56.36±9.84) years. There were 45 087 (58.93%) local residents in old urban area, 23 868 (31.19%) local residents in new urban area, 5 668 (7.41%) other urban migrants and 1 890 (2.47%) other rural migrants. After adjusting for variables such as age, gender and educational level, the results of robust Poisson regression analysis showed that compared with local residents in old urban area, local residents in new urban area had lower compliance rates of non- or moderate-drinking (RR=0.987, 95%CI: 0.975-1.000) and healthy diet (RR=0.535, 95%CI: 0.365-0.782), lower proportion of using aspirin as primary prevention in CVD high-risk population (RR=0.616, 95%CI: 0.511-0.741), lower awareness (RR=0.873, 95%CI: 0.782-0.974) and control rates (RR=0.730, 95%CI: 0.627-0.849) of hypertension; other urban migrants had higher compliance rate of non-smoking (RR=1.045, 95%CI: 1.017-1.075); other rural migrants had lower proportion of using aspirin as primary prevention in CVD high-risk population (RR=0.826, 95%CI: 0.707-0.966). Conclusion The CVD primaryprevention among local residents in new urban area is relatively poor among four groups of residents in Central China, and key interventions are needed.

【Objective】 To assess the prevalence and treatment of high cardiovascular disease （CVD） risk， and identify individual characteristics related to high CVD risk. 【Methods】 Based on the data of the China Patient-Centered Evaluative Assessment of Cardiac Events （PEACE） Million Persons Project （MPP） from 2016 to 2019， this study enrolled local residents aged 35 to 75 years from 39 counties or districts in Northwest China. Rates of high CVD risk and individual characteristics were assessed in the overall study population. Statin and aspirin use was also evaluated among those at high risk for CVD. Multivariable mixed models were fitted to evaluate the relationship between individual characteristics and high CVD risk. 【Results】 Among 364 537 participants， the average age was （54.6±9.7）years， and 5.8% was at a high risk for CVD. Multivariate mixed models showed that individuals who were currently using alcohol， overweight or obese tended to have a high risk for CVD， while married persons， those with a higher education level or a higher household income were correlated with a lower risk for CVD （all P<0.05）. Among high-risk persons， hypertension was the most prevalent risk factor （98.1%）， and only 1.3% and 3.5% reported their use of statins and aspirin， respectively. 【Conclusion】 Of the 364 537 participants， about 1 in 17 had a high risk for CVD. Among those at a high CVD risk， only less than 4% reported taking statins or aspirin. These findings indicate that there is still much room for risk mitigation in this population in China.