1.Penicillinase-producing Neisseria gonorrhoeae and its blaTEM-135 gene variants at several gonococcal antimicrobial surveillance sites in China:an epidemiological study
Shaochun CHEN ; Yueping YIN ; Xiuqin DAI ; Heping ZHENG ; Weiming GU ; Zhongjie ZHENG ; Xingzhong WU ; Wenling CAO ; Lihua HU ; Bangyong ZHU ; Houhua SUN ; Xiangsheng CHEN
Chinese Journal of Dermatology 2015;(5):312-316
Objective To determine the prevalence of penicillinase-producing Neisseria gonorrhoeae(PPNG) and the distribution of blaTEM-135 gene variants in PPNG at several gonococcal antimicrobial surveillance sites in China, to compare N. gonorrhoeae multi-antigen sequence typing(NG-MAST)types of PPNG and its blaTEM-135 gene variants, and to assess the difference and association in NG-MAST types of blaTEM-135 gene variants among different regions. Methods A total of 572 N. gonorrhoeae isolates were collected at 6 gonococcal antimicrobial surveillance sites from Jiangsu, Shanghai, Zhejiang, Tianjin, Guangdong and Guangxi in 2012. After isolation, purification, and identification, cefalotin paper discs were used for detection of PPNG. DNA was extracted by QIAxtractor DX kits after cultivation of the PPNG strains. Then, mismatch amplification mutation assay (MAMA) PCR was performed to identify blaTEM-135 variants, and NG-MAST analysis to determine N. gonorrhoeae genotypes. Results Among the 572 N. gonorrhoeae strains, 38.1%(218/572) were identified as PPNG, and of the PPNG strains, 52.3% (114/218) were blaTEM-135 variants. The detection rate of PPNG at these surveillance sites from high to low was as follows: 51.7% (45/87, Zhejiang), 45.6%(36/79, Shanghai), 38.0% (78/205, Guangdong), 37.5% (12/32, Guangxi), 31.2% (24/77, Jiangsu) and 25.0%(23/92, Tianjin), and that of blaTEM-135 variants was as follows: 68.9%(31/45, Zhejiang), 58.3%(14/24, Jiangsu), 50.0%(39/78, Guangdong), 47.2%(17/36, Shanghai), 39.1%(9/23, Tianjin)and 33.3%(4/12, Guangxi). NG-MAST analysis showed that the ST2318, ST1768, ST1866, ST1053 and ST8726 types predominated among these bla TEM-135 variants, and a strong correlation was found between blaTEM-135 variants and some NG-MAST types, such as ST1768, ST1053 and ST8726 types. The distribution of NG-MAST types was significantly different between the surveillance site in Tianjin (in the Northern part of China) and the other sites (in the Southern part of China), but highly similar among the surveillance sites in Jiangsu, Zhejiang and Shanghai regions. Conclusions There is a high prevalence of PPNG and its blaTEM-135 variants at several gonococcal antimicrobial surveillance sites in China, with significant differences in NG-MAST genotype distribution of PPNG and its blaTEM-135 variants among different regions.
2.Construction of "Internet +" health management model for physical examination population
Fang BAI ; Liping MENG ; Jiaojiao ZHANG ; Xuejiao WANG ; Bangyong SUN ; Xiaobo TANG ; Weiwen ZHOU ; Liyan CHEN ; Shaoqing SUN ; Ping DENG
Chinese Journal of Modern Nursing 2019;25(17):2176-2179
Objective? To construct the "Internet +" based health management model for physical examination population. Methods? From September 2016 to September 2017, we constructed the primary"Internet +" health management model by literature review. Two rounds of consultation with 25 experts were carried out with the Delphi method to construct the "Internet +" health management model for physical examination population. Results? Among two rounds of consultation, the recovery rate of questionnaire was all 100%. The expert authority coefficient (Cr) was 0.87. The final "Internet +" health management model included 3 first-level indicators, 7 second-level indicators and 26 third-level indicators. Conclusions? The "Internet +"based health management model is reliable which can be intervention for health management model of physical examination population.