3.Value of AB classification combined with Arima classification for determining the invasion depth of superficial esophageal squamous cell carcinoma
Hongna LU ; Feng XU ; Xuesong ZHANG ; Yao WANG ; Yaohui WANG ; Xi DENG ; Wenying GUO ; Ting WENG ; Liangshun ZHANG ; Tingsheng LING
Chinese Journal of Digestive Endoscopy 2024;41(5):372-378
Objective:To investigate the clinical value of AB classification combined with Arima classification for predicting the invasion depth of superficial esophageal squamous cell carcinomas (SESCC).Methods:From July 2017 to December 2022, 76 cases of SESCC receiving endoscopic submucosal dissection and intra-epithelial papillary capillary loops (IPCL) AB classification as type B2 in Ningbo Medical Center Lihuili Hospital and Jiangsu Province Hospital of Chinese Medicine were included in the study. IPCL was reclassified according to Arima classification. The depth of infiltration determined by pathology was the gold standard. The sensitivity, the specificity, the positive predictive value and the negative predictive value of B2-Arima combined classification in predicting the invasion depth of SESCC were analyzed.Results:In the 76 cases of type B2 IPCL lesions, 31 cases (40.79%) were T1a-MM/T1b-SM1 SESCC. The sensitivity, the specificity, the positive predictive value, the negative predictive value and the diagnostic accuracy of type B2 IPCL to predict T1a-MM/T1b-SM1 SESCC were 70.45% (31/44), 79.64% (176/221), 40.79% (31/76), 93.12% (176/189), and 78.11% (207/265), respectively. After Arima classification, the above corresponding indicators of type B2-4ML and type B2-AVA-4M IPCL in predicting T1a-MM/T1b-SM1 SESCC were 61.36% (27/44), 88.24% (195/221), 50.94% (27/53), 91.98% (195/212), 83.77% (222/265) and 38.64% (17/44), 94.57% (209/221), 58.62% (17/29), 88.56% (209/236), 85.28% (226/265), respectively.Conclusion:B2 IPCL combined with Arima classification can improve the diagnostic accuracy of T1a-MM/T1b-SM1 ESSCC.
4.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.