1.Surveillance of Antimicrobial Resistance in Clinical Isolates from Qingdao Municipal Hospital 2007
Li LI ; Weiqi SU ; Guixia FU ; Tiange WU
Chinese Journal of Nosocomiology 2006;0(07):-
OBJECTIVE To investigate the distribution and resistance of clinical isolates to antimicrobial agents commonly used.Antimicrobial agents should be used rationally based on the results of susceptibility testing.METHODS The clinical isolates were identified with W/A-40 or VITEK-32.The results were analyzed by WHONET 5.3 software according to CLSI 2005.RESULTS A total of 2892 clinical isolates were collected in 2007.Gram-negative bacilli accounted for 68.2% and Gram-positive cocci accounted for 31.8%.The top eight pathogens were Pseudomonas aeruginosa,Escherichia coli,Klebsiella spp,Acinetobacter spp,coagulase-negative Staphylococcus,Enterobacter spp,Serratia spp and S.aureus.About 76.4% of S.aureus isolates were MRSA,81.6% of coagulase-negative Staphylococcus isolates were meticillin-resistant.Under 20.0% of Enterobacteriaceae strains were resistant to cefoperazone/sulbactam,imipenem and piperacillin/tazobactam.About 16.3% and 32.5% of P.aeruginosa isolates were resistant to cefoperazone/sulbactam and imipenem.CONCLUSIONS Gram-negative bacilli were dominant isolates in our hospital during 2007.P.aeruginosa is the most frequent pathogenwith severe antibiotic resistance.Enterobacteriaceae are susceptible to cefoperazone/sulbactam and imipenem.
2.The effects of 4 different clinical factors on endotracheal cuff pressure
Yanshuo WU ; Guixia SU ; Yanling YIN ; Peng GAO
Chinese Journal of Nursing 2017;52(8):934-937
Objective To investigate the effects of endotracheal suctioning,turning over,oral caring and swallowingon cuff pressure,so as to provide evidence for the management of the endotracheal cuff.Methods During continuous monitoring of cuff pressure with pressure sensor,the changes of cuff pressure were recorded in the process of endotracheal suctioning,turning over,and oral caring.The data of cuff pressure were recorded including before activity,during activity,after activity for 5 min,15 min and 30 min.In addition,the data of cuff pressure were recorded including before swallowing,during swallowing,after swallowing for 1 min,5 min and 10 min.Results The cuff pressure during endotracheal suctioning and after endotracheal suctioning for 5 min was higher than that before endotracheal suctioning,the difference was statistically significant (P<0.05);the cuff pressure during turning over and after turning over for 5 min was higher than that before turning over,the difference was statistically significant (P<0.05);the cuff pressure during the oral caring was higher than that before oral caring,the difference was statistically significant(P<0.05);the cuff pressure during swallowing was higher than that before swallowing,the difference was statistically significant(P<0.05).Conclusion These clinical factors would lead to transient increase of cuff pressure including suctioning,turning over,oral caring,and swallowing.The instantaneous cuff pressure will mislead the staff to judge the safey of endotracheal cuff.The cuff pressure should not be blindly adjusted,so as to avoid the risks of leakage and aspiration.
4.Evaluation of common carotid arterial wave intensity in healthy volunteers
Jiawei TIAN ; Guoqing DU ; Ying WANG ; Shuangquan JIANG ; Zhenzhen WANG ; Hong WEI ; Guixia ZHENG ; Xudong WANG ; Yang SU ; Dongmei LIU
Chinese Journal of Ultrasonography 2010;19(12):1039-1042
Objective To summarize the characteristics of common carotid arterial wave intensity (WI) in healthy volunteers and offer the normal reference values of WI. Methods Common carotid arteries (CCA) in 525 healthy volunteers were examined using Aloka Prosound α10 equipped with wave intensity software. The volunteers were divided into six group according to age,group A,<20 years old;group B,20 - 29 years old;group C,30 - 39 years old;group D,40 - 49 years old;group E,50 - 59 years old and group F,≥60 years old. Carotid arterial wave intensity in normal subjects had two positive peaks, the first peak,W1 ,and the second peak, W2. Between the two positive peaks, a negative area (NA), the time interval between the R-wave of ECG and the first peak(R-W1 ) and that between the first and second peaks (W1-W2) were observed. Results ① 1050 common carotid arteries in 525 volunteers were studied. The mean values of W1,W2,NA,R-W1,and W1-W2 were (8332±4796) mmHg · m-1 · s-3,(1853±1143)mmHg · m-1 · s-3,(38 ± 26) mmHg · m-1 · s-2, (102 ± 19)ms and (266 ± 42)ms,respectively. ②These values were no significant between the left and right CCA in same group. W1 and NA were correlated with age ( r = - 0. 204 and r = -0.301, P <0. 001). W1 and NA in group A and B were significant increased than those in other groups( P <0. 05 or P <0. 001 ). ③There were statistical significances in W1 and W1-W2 of CCA between male and female. ④There were no statistical significances in all values in common carotid arteries of both sides (P >0. 05). ConclusionsWI technique is useful for evaluating the dynamic behavior of the heart and the vascular system and their interaction. W1 is very sensitive to the changes in the working condition of the cardiovascular system.
5.Corrigendum to: The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(5):926-927
6.Metabolic Disease Management Guideline for National Metabolic Management Center(2nd edition)
Weiqing WANG ; Yufan WANG ; Guixia WANG ; Guang NING ; Dalong ZHU ; Ping LIU ; Libin LIU ; Jianmin LIU ; Zhaoli YAN ; Xulei TANG ; Bangqun JI ; Sunjie YAN ; Heng SU ; Jianling DU ; Sheli LI ; Li LI ; Shengli WU ; Jinsong KUANG ; Yubo SHA ; Ping ZHANG ; Yifei ZHANG ; Lei CHEN ; Zunhai ZHOU ; Chao ZHENG ; Qidong ZHENG ; Zhongyan SHAN ; Dong ZHAO ; Zhigang ZHAO ; Ling HU ; Tingyu KE ; Yu SHI ; Yingfen QIN ; Mingjun GU ; Xuejiang GU ; Fengmei XU ; Zuhua GAO ; Qijuan DONG ; Yi SHU ; Yuancheng DAI
Chinese Journal of Endocrinology and Metabolism 2023;39(6):538-554
The latest epidemiological data suggests that the situation of adult diabetes in China is severe, and metabolic diseases have become significant chronic illnesses that have a serious impact on public health and social development. After more than six years of practice, the National Metabolic Management Center(MMC) has developed distinctive approaches to manage metabolic patients and has achieved a series of positive outcomes, continuously advancing the standardized diagnosis and treatment model. In order to further improve the efficiency, based on the first edition, the second edition guideline was composed by incorporating experience of the past six years in conjunction with the latest international and domestic guidelines.
7.The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(4):719-728
Background/Aims:
Low educational attainment is a well-established risk factor for nonalcoholic fatty liver disease (NAFLD) in developed areas. However, the association between educational attainment and the risk of NAFLD is less clear in China.
Methods:
A cross-sectional study including over 200,000 Chinese adults across mainland China was conducted. Information on education level and lifestyle factors were obtained through standard questionnaires, while NAFLD and advanced fibrosis were diagnosed using validated formulas. Outcomes included the risk of NAFLD in the general population and high probability of fibrosis among patients with NAFLD. Logistic regression analysis was employed to estimate the risk of NAFLD and fibrosis across education levels. A causal mediation model was used to explore the potential mediators.
Results:
Comparing with those receiving primary school education, the multi-adjusted odds ratios (95% confidence intervals) for NAFLD were 1.28 (1.16 to 1.41) for men and 0.94 (0.89 to 0.99) for women with college education after accounting for body mass index. When considering waist circumference, the odds ratios (95% CIs) were 0.94 (0.86 to 1.04) for men and 0.88 (0.80 to 0.97) for women, respectively. The proportions mediated by general and central obesity were 51.00% and 68.04% for men, while for women the proportions were 48.58% and 32.58%, respectively. Furthermore, NAFLD patients with lower educational attainment showed an incremental increased risk of advanced fibrosis in both genders.
Conclusions
In China, a low education level was associated with a higher risk of prevalent NAFLD in women, as well as high probability of fibrosis in both genders.
8.Corrigendum to: The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(5):926-927
9.Corrigendum to: The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(5):926-927
10.Corrigendum to: The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(5):926-927