1.Comparative study on two serological detection methods of mycoplasma pneumoniae in children with mycoplasmal pneumonia
Xin LIU ; Shasha GUO ; Chong WANG ; Yuanqi ZHU ; Zhenhong WANG ; Zhenghai QU
Chinese Journal of Postgraduates of Medicine 2017;40(3):211-213
Objective To compare the sensitivity and specificity of dot immunogold method (DIM) and particle agglutination (PA) for the diagnosis of mycoplasma pneumoniae (MP) infection. Methods The 190 serum specimens of 113 children with mycoplasmal pneumonia (infection group) and 50 serum specimens of 50 health children (health group) were tested for MP by PA and DIM- A and B. Results In infection group, the positive rates of DIM- A and B were 82.63% (157/190) and 84.74%(161/190), and there was no statistical difference (χ2 = 0.31, P>0.05); the positive rate of PA (titer ≥1:160) was 70.00%(133/190), the positive rate of PA was significantly lower than that in DIM-A and B, and there were statistical differences (P<0.05). In infection group, with the increase of PA titer, the positive rate of DIM was gradually increased, and there was a correlation between 2 methods (rA=0.972, rB=0.830);the positive rates of DIM- A and B in serum specimens of PA negative were 40.62%(13/32) and 53.12%(17/32), and in the PA titer of 1:5120, there was still a negative result in DIM. In health group, the positive rates of DIM-A and B were 26.00% (13/50) and 28.00% (14/50), and there was no statistical difference (χ2 = 0.66, P>0.05); the positive of PA was 8.00% (4/50), the positive rate of PA was significantly lower than that in DIM- A and B, and there were statistical differences (P<0.05 or<0.01). Conclusions Compared with the PA, DIM has low sensitivity and poor specificity for clinical diagnosis. DIM is not suitable for clinical diagnosis of MP infection.
2.Cholelithiasis and the risk of intrahepatic cholangiocarcinoma: a Meta-analysis
Zhenghai ZHU ; Hao CAI ; Yanyan GU ; Wanwen ZHAO ; Weidong HU ; Chaobo CHEN
International Journal of Surgery 2015;42(2):97-101
Objective To clarify the association of pre-existing choledocholithiasis or cholecystolithiasis and the development of intrahepatic cholangiocarcinoma(ICC).Methods A computerized literature search was performed in Pubmed,EmBase and CBM.Cohort and case control studies on the risk of choledocholithiasis or cholecystolithiasis developing ICC was included.Meta-analysis was performed using STATA version 12.0.Either a fix or random effect model was used according to heterogeneity among studies.Egger's test was performed to assess publication bias.Results A total of 6 case control studies fulfilled our inclusion criteria including 123,713 patients,4,753 for ICC and 118,960 for tumor free controls.Bile duct stone contributed to the development of ICC (OR:15.64,95% CI 9.33-26.23).Apart from hepatolithiasis,there was still a high risk of ICC development for choledocholithiasis (OR:11.05,95 % CI:4.02 ~ 30.37).Cholecystolithiasis is also a risk factor for ICC (OR:2.35,95 % CI:1.28 ~ 4.31).Conclusion Both choledocholithiasis and cholecystolithiasis are important prognostic factors for ICC.
3.Expression of Oct4 and its prognostic role in left-and right-side colon cancer
CHENG JIE ; 无锡市锡山人民医院普外科 ; SHI CHUNTAO ; CHEN CHAOBO ; ZHU ZHENGHAI ; XU SANRONG
Chinese Journal of Clinical Oncology 2017;44(18):909-914
Objective:To investigate the expression and prognostic value of the Oct4 protein in colon cancer.Methods:Immunohistochemical technique was used to examine the expression of Oct4 protein in 89 left side colon cancer(LCC)tissues and 77 right-side colon cancer(RCC) tissues.The relationship among Oct4 expression,clinicopathological parameters,and the prognostic value of Oct4 in colon cancer was analyzed.Results:The positive rate of Oct4 protein in LCC was 68.54%,and that in RCC was 71.43%.There was no significant difference between the two values.In addition,Oct4 expression in RCC was positively correlated with histological grade,lymph node metastasis,and Dukes staging.By contrast,Oct4 expression in LCC was only positively correlated with histological grade and Dukes staging.In survival analysis, the 5-year survival rate of LCC was significantly higher than that in RCC(P<0.01).In patients with LCC,no obvious correlation was found between positive and negative Oct4 expression levels in OS.In patients with RCC,Oct4 overexpression indicated poor prognosis(P<0.05). Also,in Cox survival analysis,Oct4 overexpression indicated poor prognosis in RCC but not in LCC.Conclusion:These results indicated that Oct4 plays different roles in LCC and RCC.These roles can be used as theoretical basis for exploring new targets for the diagnosis and treatment of colon cancer.
4.Distribution and antimicrobial resistance profile of clinical bacterial isolates from blood culture in China, 2014-2015
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Ying HUANG ; Jilu SHEN ; Hui DING ; Jinwei HUANG ; Yuanyuan DAI ; Yongyun LIU ; Liping ZHANG ; Liang GUO ; Baohua ZHANG ; Yanhong LI ; Haifeng MAO ; Li WANG ; Lin ZHENG ; Beiqing GU ; Haixin DONG ; Chuandan WAN ; Zhixiang LIAO ; Rong XU ; Shuyan HU ; Li SUN ; Shucun ZHANG ; Lan MA ; Bo QUAN ; Jianzhong WANG ; Zhenghai YANG ; Wencheng ZHU ; Fei DU ; Dengyan QIAO ; Xiusan XIA ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2019;12(1):24-37
Objective To analyze the distribution and antimicrobial resistance profile of clinical bacterial strains isolated from blood culture in China.Methods Clinical bacterial strains isolated from blood culture from participating hospitals of Blood Bacterial Resistance Investigation Collaborative System (BRICS) during January 2014 to December 2015 were collected.Antibiotic susceptibility tests were conducted with agar dilution or broth dilution methods as recommended by US Clinical and Laboratory Standards Institute(CLSI)2018.The data were analyzed with Whonet 5.6 software.Results During the study period,4 801 clinical bacterial isolates were collected from 26 hospitals,of which 1 798 (37.5%) were Gram-positive bacteria and 3 003 (62.5%) were gram-negative bacteria.The top 10 isolates were Escherichia coli (33.8%),coagulase-negative Staphylococcus (19.0%),Klebsiella pneumoniae (11.9%),Staphylococcus aureus (10.1%),Acinetobacter baumannii (4.0%),Pseudomonas aeruginosa (3.8%),Streptococcus (3.0%),Enterobacter sulcus (2.9%),Enterococcus faecium (2.8%) and Enterococcus faecalis (1.8%).Methicillin-resistant Staphylococcus aureus (MRSA) and methicillinresistant coagulase-negative Staphylococcus (MRCNS) accounted for 33.9% (165/487) and 56.9% (520/913) of Staphylococcus aureus and coagulase-negative Staphylococcus respectively.No vancomycinresistant Staphylococcus was detected.The resistance rate of Enterococcus faecium to vancomycin was 0.7% (1/135),and no vancomycin-resistant Enterococcus faecaliss was detected.The positive rates of extendedspectrum β-1actamases(ESBLs)-producing Escherichia coli,Klebsiella pneumoniae and Proteus were 56.9% (923/1 621),30.1% (172/572) and 29.2% (7/24),respectively.The positive rates of carbapenemresistant Escherichia coli,Klebsiella pneumoniae,Enterobacter,Salmonella and Citrobacter were 1.2% (20/1 621),7.2% (41/572),4.3% (6/141),1.5% (1/67) and 2.9% (1/34),respectively.The resistance rates of Acinetobacter baumannii to polymyxin and tegacycline were 2.6% (5/190) and 8.9% (17/190)respectively,and that of Pseudomonas aeruginosa to polymyxin and fosfomycin were 1.1% (2/183)and 0.6% (1/183),respectively.Conclusions The surveillance results from 2014 to 2015 show that the main pathogens of blood stream infection in China are Gram-negative bacteria,while Escherichia coli is the most common pathogen,the detection rate of MRSA is lower than other surveillance data in the same period in China;carbapenem-resistant Klebsiella pneumoniae and Escherichia coli are at a low level as shown in this surveillance.
5.BRICS report of 2018-2019: the distribution and antimicrobial resistance profile of clinical isolates from blood culture in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Peipei WANG ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Hui DING ; Yongyun LIU ; Haifeng MAO ; Ying HUANG ; Zhenghai YANG ; Yuanyuan DAI ; Guolin LIAO ; Lisha ZHU ; Liping ZHANG ; Yanhong LI ; Hongyun XU ; Junmin CAO ; Baohua ZHANG ; Liang GUO ; Haixin DONG ; Shuyan HU ; Sijin MAN ; Lu WANG ; Zhixiang LIAO ; Rong XU ; Dan LIU ; Yan JIN ; Yizheng ZHOU ; Yiqun LIAO ; Fenghong CHEN ; Beiqing GU ; Jiliang WANG ; Jinhua LIANG ; Lin ZHENG ; Aiyun LI ; Jilu SHEN ; Yinqiao DONG ; Lixia ZHANG ; Hongxia HU ; Bo QUAN ; Wencheng ZHU ; Kunpeng LIANG ; Qiang LIU ; Shifu WANG ; Xiaoping YAN ; Jiangbang KANG ; Xiusan XIA ; Lan MA ; Li SUN ; Liang LUAN ; Jianzhong WANG ; Zhuo LI ; Dengyan QIAO ; Lin ZHANG ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2021;14(1):32-45
Objective:To investigate the distribution and antimicrobial resistance profile of clinical bacteria isolated from blood culture in China.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2018 to December 2019. Antibiotic susceptibility tests were conducted with agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 14 778 bacterial strains were collected from 50 hospitals, of which 4 117 (27.9%) were Gram-positive bacteria and 10 661(72.1%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.2%), Klebsiella pneumoniae (17.0%), Staphylococcus aureus (9.7%), coagulase-negative Staphylococci (8.7%), Pseudomonas aeruginosa (3.7%), Enterococcus faecium (3.4%), Acinetobacter baumannii(3.4%), Enterobacter cloacae (2.9%), Streptococci(2.8%) and Enterococcus faecalis (2.3%). The the prevalence of methicillin-resistant S. aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus were 27.4% (394/1 438) and 70.4% (905/1 285), respectively. No glycopeptide-resistant Staphylococcus was detected. More than 95% of S. aureus were sensitive to amikacin, rifampicin and SMZco. The resistance rate of E. faecium to vancomycin was 0.4% (2/504), and no vancomycin-resistant E. faecalis was detected. The ESBLs-producing rates in no carbapenem-resistance E. coli, carbapenem sensitive K. pneumoniae and Proteus were 50.4% (2 731/5 415), 24.6% (493/2001) and 35.2% (31/88), respectively. The prevalence of carbapenem-resistance in E. coli and K. pneumoniae were 1.5% (85/5 500), 20.6% (518/2 519), respectively. 8.3% (27/325) of carbapenem-resistance K. pneumoniae was resistant to ceftazidime/avibactam combination. The resistance rates of A. baumannii to polymyxin and tigecycline were 2.8% (14/501) and 3.4% (17/501) respectively, and that of P. aeruginosa to carbapenem were 18.9% (103/546). Conclusions:The surveillance results from 2018 to 2019 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while E. coli was the most common pathogen, and ESBLs-producing strains were in majority; the MRSA incidence is getting lower in China; carbapenem-resistant E. coli keeps at a low level, while carbapenem-resistant K. pneumoniae is on the rise obviously.
6.BRICS report of 2016-2017: the distribution and antimicrobial resistance profile of clinical isolates from blood culture in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Peipei WANG ; Qing YANG ; Haishen KONG ; Yongyun LIU ; Ying HUANG ; Yuanyuan DAI ; Liping ZHANG ; Hui DING ; Liang GUO ; Baohua ZHANG ; Lisha ZHU ; Haifeng MAO ; Zhixiang LIAO ; Yanhong LI ; Lu WANG ; Shuyan HU ; Zhenghai YANG ; Beiqing GU ; Haixin DONG ; Fei DU ; Lin ZHENG ; Bo QUAN ; Wencheng ZHU ; Jianzhong WANG ; Lan MA ; Rong XU ; Li SUN ; Aiyun LI ; Junmin CAO ; Jinhua LIANG ; Hongyun XU ; Kunpeng LIANG ; Dengyan QIAO ; Xiaoyan QI ; Xiusan XIA ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2020;13(1):42-54
Objective:To investigate the distribution and antimicrobial resistance profile of clinical bacteria isolated from blood culture in China.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2016 to December 2017. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI) 2019. WHONET 5.6 was used to analyze data.Results:During the study period, 8 154 bacterial strains were collected from 33 hospitals, of which 2 325 (28.5%) were Gram-positive bacteria and 5 829 (71.5%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (34.7%), Klebsiella pneumoniae (15.8%), Staphylococcus aureus (11.3%), coagulase-negative Staphylococci (7.4%), Acinetobacter baumannii (4.6%), Pseudomonas aeruginosa (3.9%), Enterococcus faecium (3.8%), Streptococci (2.9%), Enterobacter cloacae (2.7%) and Enterococcus faecalis (2.5%). Methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus (MRCNS) accounted for 34.2%(315/922) and 77.7%(470/605), respectively. No vancomycin-resistant Staphylococcus was detected. The resistance rate of Enterococcus faecium to vancomycin was 0.6%(2/312), and no vancomycin-resistant Enterococcus faecium was detected. The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus were 55.7%(1 576/2 831), 29.9%(386/1 289) and 38.5%(15/39), respectively. The incidences of carbapenem-resistance in Escherichia coli, Klebsiella pneumoniae were 1.2%(33/2 831), 17.5%(226/1 289), respectively. The resistance rates of Acinetobacter baumannii to polymyxin and tigecycline were 14.8%(55/372) and 5.9%(22/372) respectively, and those of Pseudomonas aeruginosa to polymyxin and carbapenem were 1.3%(4/315) and 18.7%(59/315), respectively. Conclusion:The surveillance results from 2016 to 2017 showed that the main pathogens of blood stream infection in China were gram-negative bacteria, while Escherichia coli was the most common pathogen; the MRSA incidence was lower than other surveillance data in the same period in China; carbapenem-resistant Escherichia coli was at a low level during this surveillance, while carbapenem-resistant Klebsiella pneumoniae is on the rise.
7.Prevalence and molecular characterization of Cryptosporidium in captive-bred Mustela putorius furo in Jiangsu Province
Jinyang ZHANG ; Yonghua ZHOU ; Jie GUO ; Jiajia LI ; Yanyan WU ; Zhenghai ZHOU ; Haiyun ZHU ; Xinyu LUO ; Dongqian CHEN ; Qiaoqiao LI ; Xinchao LIU ; Wenchao LI
Chinese Journal of Schistosomiasis Control 2023;35(1):73-77
Objective To investigate the prevalence and molecular features of Cryptosporidium in captive-bred Mustela putorius furo in Jiangsu Province.. Methods A total of 290 fresh stool samples were collected from a ferret farm in Jiangsu Province on May 2017, and the small subunit rRNA (SSU rRNA) gene of Cryptosporidium was amplified in stool samples using nested PCR assay. The actin, cowp and gp60 genes were amplified in positive samples and sequenced to characterize Cryptosporidium species/genotypes. Results A total of 18 stool samples were tested positive for Cryptosporidium SSU rRNA gene, with a detection rate of 6.2%. Sequence and phylogenetic analyses of SSU rRNA, actin and cowp genes characterized Cryptosporidium isolated from captive-bred ferrets as Cryptosporidium sp. ferret genotype. In addition, gp60 gene was amplified in 10 out of 18 stool samples tested positive for Cryptosporidium. Conclusions Cryptosporidium is widely prevalent in captive-bred ferrets in Jiangsu Province, and Cryptosporidium sp. ferret genotype is the only Cryptosporidium genotype in ferrets.