1.Analysis of risk factors in early infection patients after heart transplantation
Yunfei LIU ; Xiangli ZHANG ; Zhiying LI ; Zhikun FU ; Keke LIANG ; Lin GUO
Chinese Journal of Organ Transplantation 2022;43(7):406-411
Objective:To explore the risk factors of early infection patients after heart transplantation(HT)and provide references for preventing and treating early infection.Methods:From April 2018 to May 2021, clinical data were retrospectively reviewed for 95 HT recipients treated at Zhengzhou Seventh People's Hospital.They were divided into two groups of infected(n=34)and uninfected(n=61). Gender, age, disease type, preoperative IABP implantation, postoperative intra-aortic balloon pump(IABP)implantation, postoperative extracorporeal membrane oxygenation(ECMO)implantation, preoperative mechanical ventilation, preoperative leukocyte, preoperative lymphocyte, preoperative serum C-reactive protein(CRP), operative approach, APACHEⅡscore, NYHA grade, hemoglobin, cardiopulmonary bypass time, donor heart cold ischemia time, postoperative thoracic drainage tube indwelling time, postoperative gastric tube indwelling time, postoperative urinary tube indwelling time, postoperative acute rejection, postoperative ventilator assisted treatment time and postoperative ICU time.The risk factors of early infection were analyzed by univariate and multivariate Logistic regression analysis.Results:There were 34 cases of early infection after HT and 8 cases died.In infection group, preoperative hemoglobin(female <110 g/L or male <120 g/L), ECMO post-operation, 24-48 h post-operation, APACHE post-operation(>6), postoperative intrathoracic drainage tube indwelling time(≥7 d), postoperative gastric tube indwelling time(≥4 d), postoperative urinary tube indwelling time(≥5 d), postoperative acute rejection(positive), postoperative ventilator assisted treatment time(≥2 d)and postoperative ICU time(≥10 d)were 18 cases(52.94%), 8(23.53%), 30(88.24%), 22(64.71%), 18(52.94%), 20(58.82%), 4(11.76%), 21(61.76%)and 19(55.88%); uninfected group: 16 cases(26.23%), 3(4.92%), 32(52.46%), 24(39.34%), 15(24.59%), 31(34.43%), 1(1.64%), 21(34.43%)and 4(6.56%). Significant inter-group differences existed( χ2=6.778, 5.68, 12.326, 5.623, 7.740, 5.297, 4.489, 6.615, 28.947, P<0.05). Multivariate Logistic regression analysis indicated that 24-48h post-operation, APACHEⅡ score >6(β=1.024, Wald χ2=7.653, OR=2.141, OR95% CI=1.323~4.215), ECMO post-operation(β=1.783, Wald χ2=6.186, OR=5.949, OR95% CI =1.459~24.25), postoperative intrathoracic drainage tube indwelling time ≥7 d(β=0.712, Wald χ2=5.745, OR=1.054, OR95% CI=1.183~6.753), postoperative gastric tube indwelling time(β=0.832, Wald χ2=6.756, OR=1.132, OR95% CI=1.416~8.406), postoperative ventilator assisted treatment time(β=0.745, Wald χ2=6.563, OR=1.212, OR95% CI=1.289~7.346)and postoperative ICU time=1.28(β=1.325, Wald χ2=9.752, OR=2.435, OR95% CI=1.426~6.354)were independent risk factor for early infection after HT( P<0.05). Conclusions:Early infection after HT remains higher.It is significantly correlated with 24-48 h post-operation APACHE II score, ECMO post-operation, postoperative intrathoracic drainage tube indwelling time, postoperative gastric tube indwelling time, postoperative ventilator assisted treatment time and postoperative ICU time.Targeted interventions should be adopted for lowering the incidence of early infection after HT.
2.Research status and prospects of research on intraspecific differentiation of Cannabis sativa L.
Keke FU ; Delan WANG ; Jinyuan HU ; Hao NIE ; Ying ZHANG ; Ning AN ; Fangru LIU ; Xingchun ZHAO ; Shan GAO ; Baishi WANG
Chinese Journal of Forensic Medicine 2024;39(5):600-605
The DNA characterization of Cannabis sativa L.has been one of the key directions of anti-drug research at home and abroad.Previous research mainly focused on the identification of cannabis-species and gender differentiation,and have constructed a number of corresponding composite amplification systems.With the rapid development of high-throughput sequencing technology,the whole genome of C.sativa and the sequences of key enzyme genes for its major physicochemical components have been sequenced successively,and intra-species differentiation studies of C.sativa based on specific molecular markers have gradually emerged.However,due to the high variability of cannabis subspecies-and variety-specific molecular markers,relevant foreign studies failed to provide ideal molecular marker support for the identification of intra-specific distinctions of Cannabis sativa in China.Based on this,this paper comprehensively analyzes the current situation and shortcomings of domestic and international research on intra-specific differentiation of C.sativa,and combines the previous research results of this group to elaborate on how to use high-throughput sequencing technology to solve the problem of the lack of intra-specific molecular markers of C.sativa in China.
3.Microbial monitoring of urban drinking water in Jiangxi Province from 2016 to 2020
Keke LU ; Jiafen HE ; Junjie FU ; Hao WU ; Wenxin HE ; Min XU ; Feibao LU ; Wenbin JIANG
Shanghai Journal of Preventive Medicine 2023;35(3):253-257
ObjectiveTo monitor the microbes in urban drinking water in Jiangxi from 2016 to 2020, to analyze the change in microbial qualification rate, and to provide a scientific basis for government decision-making. MethodsAccording to the Standard Examination Method for Drinking Water (GB/T 5750‒2006) and the Standards for Drinking Water Quality (GB 5749‒2006), the water samples were collected, tested and evaluated for hygienic safety. The chi-square test was used to compare the qualification rates among different water periods, water source types, water supply modes, water samples, treatment processes, and disinfection methods. ResultsA total of 10 584 water samples were collected and examined from 2016 to 2020,with a qualification rate of 97.72%. The qualified rate of the microbiological index increased gradually over the years. There was no statistically significant difference in the microbiological qualification rate of water samples monitored in different water periods (χ2=0.718,P=0.398), and the qualification rates were 97.85% and 97.60% in dry and abundant water periods respectively. There was a statistically significant difference in the qualification rates of water samples monitored in different water source types (χ2=79.560,P=0.398), with groundwater having a higher qualification rate of 98.83% than surface water (97.70%). The microbiological pass rate of water samples differed among different water supply methods (χ2=201.836,P<0.001). The microbiological pass rates of municipal centralized water supply, self-built centralized water supply and secondary water supply were 97.51%, 88.94% and 96.56% respectively. The microbiological pass rates of water samples differed among different treatment processes. There were differences in the qualification rates of the water samples between different treatment processes(χ2=855.034,P<0.001), with 98.22%, 67.19%, 95.60% and 53.13% of the conventionally treated, precipitated filtered, disinfected only and untreated water samples, respectively. The differences in the microbiological qualification rates of the monitored water samples between different disinfection methods were statistically significant (χ2=904.993,P<0.001). Chlorination disinfection, chlorine dioxide disinfection, other disinfection methods and non-disinfected water samples had the pass rates of 98.35%, 98.19%, 84.38% and 60.16%, respectively. ConclusionThe qualified rate of the microbiological index of drinking water in Jiangxi increases year by year, but there are still some drinking water without appropriate disinfectants and water quality treatment processes. There is still a need to strengthen the purification, disinfection and monitoring of drinking water.
4.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
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 ; 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 ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%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)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed 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 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.