ObjectiveTo investigate the risk factors and pathogenic characteristics of catheterrelated infection (CRI) in intensive care unit (ICU),so as to find a better way for its treatment.Methods Retrospective analysis was performed on 247 deep-venous catheter (DVC) from January 2007 to December 2010.ResultsAmong 247 patients,positive results of 41 patients diagnosed CRI,negative results of 206 patients undiagnosed CRI.Compared with undiagnosed CRI patients,found the correlation of the underlying infectious diseases,indwelling time of catheter and puncture sites associated with CRI occurred(P ＜ 0.05 ).CRI major pathogen was gram-positive bacteria (58.5％,24/41 ),in which Staphylococcus epidermis was the major pathogenic bacteria(22.0％,9/41).The drug resistance occurred in most pathogen.Conclusions The occurrence of CRI is related with multiple clinical factors.The gram-positive bacteria is the major pathogen.The etiological monitor should be enforced in patients with DVC.

Objective: To investigate the value of MRI in the early diagnosis of diagnosis of dysbaric osteonecrosis. Methods: Labor hygiene investigation and occupation health were examined on 52 high pressure operating personnel, were selected for the examination of both shoulders, hips and knees with X-ray and CT scan. Results: The cystic sign in dysbaric osteonecrosis as an important imaging feature, which perform in the MRI examination for T1W I sequence showed low or slightly low signal and T2W I sequence showed high signal, and X-ray and CT have a lower detection rate than MRI. The Kappa consistency test showed a high consistency with the two methods. At the same time MRI examination also can discover the bone marrow cavity necrosis early pathological change. Conclusion MRI is an effective method for the diagnosis of early dysbaric osteonecrosis, which can improve the early diagnosis rate of dysbaric osteonecrosis.

Objective To study the composition and concentration of atmospheric particulate pollutants in four seasons in the industrial and clean living areas， and to provide a scientific basis for the strategy of controlling industrial pollution and atmospheric environment. Methods An industrial area dominated by the automobile industry in Shanghai and a relatively clean living area were selected. Samples were collected simultaneously in both areas and continuously for 7 days in the middle of each season. The composition and concentration of PM_2.5 were determined， and the ecological risk of heavy metals in PM_2.5 was evaluated by the potential ecological risk index method. Results We found PM_2.5 concentration was associated with seasonal changes. The PM_2.5 concentration in living areas was the highest in winter， followed by spring， and the lowest in summer. The PM_2.5 concentration in industrial areas was the highest in spring， followed by winter， and the lowest in summer. The heavy metals in PM_2.5 were the same， including Al， Cr， Mn， Ni， As， Cd， Hg and Pb. The content of Cr， Cd and Pb in PM_2.5 in the industrial area is significantly higher than that in the living area. The potential ecological hazard coefficient of PM_2.5 heavy metal Cd in the industrial zone was the highest， up to 189.47， and it was the main component of the total potential ecological hazard index of heavy metals. According to the total potential risk grade of heavy metals， the heavy metal Cd in the industrial area had different degrees of ecological harm with seasonal changes. The ecological harm degree of heavy metal Cd was the highest in winter， high in spring and autumn， and low in summer. Conclusion Although the concentration of PM_2.5 in the industrial area is not higher than that in the living area， the content of Cr， Cd and Pb in the PM_2.5 in the industrial area is significantly higher than that in the living area. The concentration of PM_2.5 in the industrial area is mainly related to seasons， industrial production and human factors. The potential ecological harm coefficient of heavy metal Cd in PM_2.5 is the highest in comparison with other heavy metals such as Cr， Hg and Pb， and it is the main component of the total potential ecological harm index ofheavy metals.