1.Development and Application of Catheter Electrodes for Rat Airway High-Voltage Pulsed Electric Field Ablation
Nana ZHANG ; Yirong AN ; Jiawei TIAN ; Xuan HAN ; Shen'ao QU ; Haoze LENG ; Shiran TAO ; Fenggang REN ; Yi LYU ; Haoyang ZHU
Chinese Journal of Medical Instrumentation 2024;48(5):568-572
High-voltage pulsed electric field(HV-PEF)ablation technology has demonstrated promising applications in the clinical treatment of chronic obstructive pulmonary disease(COPD).However,its use has been limited to exploratory applications in a small number of cases,and the underlying mechanisms remain largely undefined.To facilitate broader clinical implementation,comprehensive molecular mechanism studies via extensive animal experimentation are essential.Rats,due to their ease of modeling COPD and the availability of comprehensive molecular reagents,serve as an optimal model for such studies.Consequently,the development of electrodes specifically designed for HV-PEF respiratory ablation in SD rats is of significant importance.In this study,we meticulously examined the anatomical structure of rat airways and investigated various equipment parameters,including material composition,rigidity,diameter,electrode ring dimensions,spacing between positive and negative poles,insulation coating for the catheters,welding techniques between the guidewire and electrode ring,and the design of vent holes in the catheter.Based on these considerations,we fabricated PVC ablation electrode catheters with integrated ventilation functionality.Subsequently,we employed finite element simulation to estimate the field strengths that could be applied by these electrodes.The simulation results were then validated in normal rats to assess the electrical safety and efficacy of the electrodes.These findings laid the groundwork for further investigation into the mechanisms of HV-PEF treatment for COPD.
2.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
3.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
4.Pharmacogenetic-guided Warfarin dosing algorithm in elderly Han-Chinese population
Yirong REN ; Chenguang YANG ; Hao CHEN ; Dapeng DAI ; Yan WANG ; Huolan ZHU ; Fang WANG
Chinese Journal of Geriatrics 2020;39(4):380-385
Objective:To verify the accuracy of the International Warfarin Pharmacogenetics Consortium(IWPC)model, identify the effects of genetic and clinical factors on steady-state doses of Warfarin, and establish a Warfarin dose prediction model for the Han-Chinese population aged 75 years and over under the guidance of pharmacogenetics.Methods:A total of 544 Han-Chinese patients receiving Warfarin therapy for atrial fibrillation were divided into two groups: those aged 75 years and over(n=164)and those aged below 75 years(n=380). Data for the whole population and the two age groups were each substituted into the IWPC prediction model for accuracy verification.Demographic and clinical characteristics of 164 patients aged 75 years and over were recorded, and the genotypes of CYP2 C9 and VKORC1- G1639 A were detected by polymerase chain reaction.A new pharmacogenetic-guided dosing algorithm for the elderly was obtained by stepwise multiple linear regression.The accuracy of the new model was compared with that of the IWPC model. Results:The predictive accuracy of IWPC for steady-state dosing of warfarin was 35.47% in all subjects, 33.75% in 164 subjects aged below 75 years, and only 28.70% in subjects aged 75 years and over, respectively.In 164 subjects aged 75 years and over, three genotypes of *1/*1, *1/*3 and *1/*2 were detected in CYP2 C9 polymorphism, and the CYP2 C9*1/*1 genotype was the most common one, with a frequency of 87.80%(144/164), followed by the CYP2 C9*1/*3 genotype, at 11.59%(19/164). GG, GA and AA genotypes were detected in VKORC1 polymorphism, among which the AA genotype accounted for 82.32%(135/164)and the GG genotype accounted for only 1.83%(3/164). The steady state dose for Warfarin in patients with the wild-type CYP2 C9*1/*1 was higher than in those with the heterozygote CYP2 C9*1/*3 and *1/*2(3.18±0.86 mg/d vs.2.27±0.51 mg/d, t=5.637, P<0.05). Patients with a mutant homozygotic AA genotype of VKORC1 required lower maintenance doses than those with the heterozygotic GA and GG genotypes(2.96±0.66 mg/d vs. 3.59±1.43 mg/d, t=-2.092, P<0.05). The steady-state dose for Warfarin in subjects carrying CYP2 C9 (*1/*2 or *3)and VKORC1 (GA and GG)was(2.00±0.63)mg/d, lower than in those carrying other genotype combinations( P<0.05). We established a new Warfarin dosing algorithm for elderly subjects aged 75 years and over containing height, creatinine, amiodarone usage, CYP2 C9 and VKORC1 mutants, and the accuracy of the new model was 56.0%, which could explain 56.0% of individual variability, and the accuracy was higher than that of the IWPC algorithm(56.0% vs. 45.8%, P<0.05). Conclusions:Polymorphisms of CYP2 C9 and VKORC1 clearly affect the steady-state dose for Warfarin in the elderly Han-Chinese population aged 75 years and over.A combination of pharmacogenomics with clinical factors can better guide warfarin medication in Han-Chinese people aged 75 years and over.
5.Effect of gene polymorphism on warfarin dosage in Chinese Han patients with nonvalvular atrial fibrillation
Chenguang YANG ; Yirong REN ; Hao CHEN ; Dapeng DAI ; Fang WANG
Chinese Journal of General Practitioners 2020;19(12):1175-1180
Objectives:To investigate the relationships between CYP2C9 and VKORC1 polymorphism and the steady-state dose of warfarin in Chinese Han patients with nonvalvular atrial fibrillation.Methods:A total 544 Chinese Han patients with atrial fibrillation who received warfarin anticoagulant therapy in Department of Cardiology of Beijing Hospital, Tongren Hospital, Xuanwu Hospital, Anzhen Hospital and Tiantan Hospital were enrolled from January 2016 to may 2019. The genotype and allele frequency in exon 1, 2, 3, 7 of CYP2C9 gene and 1639 site of VKORC1 gene were analyzed; and the general information, warfarin steady-state dose and concomitant medication of patients were recorded.Results:There were four genotypes CYP2C9:CYP2C9*1*1 (93.57%, 509/544), CYP2C9*1 *2 (0.18%, 1/544), CYP2C9*1 *3 (5.88%, 32/544) and CYP2C9*1 *60 (0.37%, 2/544); while VKORC1 had three genotypes: AA (82.72%, 450/544), GA (15.99%, 87/544) and GG (1.29%, 7/544). After reaching the anticoagulation index (INR 2.0-3.0), the steady-state dose of warfarin was the highest in patients with CYP2C9 *1/*1 and VKORC1 GA/GG genotypes, reaching (3.70±1.34) mg/d. The lowest steady-state dose of warfarin was (2.17±0.29)mg/d in patients with both new mutations ( F=22.09, P<0.001). Multiple linear regression analysis showed that body surface area, use of amiodarone, CYP2C9 and VKORC1 genotypes were the independent influencing factors of warfarin steady-state dose ( t=4.44, -2.90, -6.96, 2.14; P<0.05) and the steady-state dose prediction model of warfarin was established. Conclusion:Body weight, height, body surface area, gender, smoking, and combination of amiodarone may significantly affect the steady-state dose of warfarin in patients. CYP2C9 and VKORC1 mutant genotypes were significantly related to the steady-state dose of warfarin. The prediction model based on genetic factors and other influencing factors may effectively predict the steady-state dose of warfarin in Han patients with atrial fibrillation.

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