1.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.
2.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.
3.Changing resistance profiles of Proteus,Morganella and Providencia in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yunmin XU ; Xiaoxue DONG ; Bin SHAN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo ZHANG ; 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 ; 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 ; Wen'en LIU ; Yanming LI ; 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 ; Hongyan ZHENG ; 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 ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; 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(4):410-417
Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10%of the Proteus and Morganella strains were resistant,while less than 20%of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4%in Proteus isolates,1.9%in Morganella isolates,and 15.6%in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.
4.Changing distribution and resistance profiles of Klebsiella strains in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chuyue ZHUO ; Yingyi GUO ; Chao ZHUO ; 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 ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; 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 ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; 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(4):418-426
Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0%),Klebsiella aerogenes(5.8%),Klebsiella oxytoca(5.7%),and other Klebsiella species(0.6%).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)%.Internal medicine(22.79±3.28)%,surgery(17.98±3.10)%,and ICU(14.03±1.39)%were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.
5.Changing resistance profiles of Staphylococcus isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yuling XIAO ; Mei KANG ; Yi XIE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo ZHANG ; 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 ; Wen'en LIU ; Yanming LI ; 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 ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; 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(5):570-580
Objective To investigate the changing distribution and antibiotic resistance profiles of clinical isolates of Staphylococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Staphylococcus according to the unified protocol of CHINET(China Antimicrobial Surveillance Network)using disk diffusion method and commercial automated systems.The CHINET antimicrobial resistance surveillance data from 2015 to 2021 were interpreted according to the 2021 CLSI breakpoints and analyzed using WHONET 5.6.Results During the period from 2015 to 2021,a total of 204,771 nonduplicate strains of Staphylococcus were isolated,including 136,731(66.8%)strains of Staphylococcus aureus and 68,040(33.2%)strains of coagulase-negative Staphylococcus(CNS).The proportions of S.aureus isolates and CNS isolates did not show significant change.S.aureus strains were mainly isolated from respiratory specimens(38.9±5.1)%,wound,pus and secretions(33.6±4.2)%,and blood(11.9±1.5)%.The CNS strains were predominantly isolated from blood(73.6±4.2)%,cerebrospinal fluid(12.1±2.5)%,and pleural effusion and ascites(8.4±2.1)%.S.aureus strains were mainly isolated from the patients in ICU(17.0±7.3)%,outpatient and emergency(11.6±1.7)%,and department of surgery(11.2±0.9)%,whereas CNS strains were primarily isolated from the patients in ICU(32.2±9.7)%,outpatient and emergency(12.8±4.7)%,and department of internal medicine(11.2±1.9)%.The prevalence of methicillin-resistant strains was 32.9%in S.aureus(MRSA)and 74.1%in CNS(MRCNS).Over the 7-year period,the prevalence of MRSA decreased from 42.1%to 29.2%,and the prevalence of MRCNS decreased from 82.1%to 68.2%.MRSA showed higher resistance rates to all the antimicrobial agents tested except trimethoprim-sulfamethoxazole than methicillin-susceptible S.aureus(MSSA).Over the 7-year period,MRSA strains showed decreasing resistance rates to gentamicin,rifampicin,and levofloxacin,MRCNS showed decreasing resistance rates to gentamicin,erythromycin,rifampicin,and trimethoprim-sulfamethoxazole,but increasing resistance rate to levofloxacin.No vancomycin-resistant strains were detected.The prevalence of linezolid-resistant MRCNS increased from 0.2%to 2.3%over the 7-year period.Conclusions Staphylococcus remains the major pathogen among gram-positive bacteria.MRSA and MRCNS were still the principal antibiotic-resistant gram-positive bacteria.No S.aureus isolates were found resistant to vancomycin or linezolid,but linezolid-resistant strains have been detected in MRCNS isolates,which is an issue of concern.
6.Effect of silencing lncRNA TUG1 on pyroptosis induced by high glucose in microglia
Youzhuo PAN ; Wenhui GUO ; Haoyue LEI ; Xun LU ; Qi ZHANG
Chinese Journal of Diabetes 2024;32(10):764-769
Objective To investigate the mechanism of action of the long non-coding RNA(lncRNA)taurine up-regulating factor 1(TUG1)with high glucose(HG)-induced cellular pyroptosisin microglial cell.Methods Mouse BV2 cells were cultured and divided into normal control(NC),HG,lentiviral empty vector(sh-Con),TUG1 lentiviral gene silencing vector(sh-TUG1),HG+sh-Con and HG+sh-TUG1 group.RT-PCR was used to detect the expression and transfection efficiency of TUG1 mRNA.Nucleotide-binding oligomerized structural domain-like receptor protein 3(NLRP3),cysteoaspartate protease-1(Caspase-1),and ghrelin D(GSDMD),IL-18,IL-1β mRNA and protein expression were detected by RT-PCR and Western blot.Results TUG1 mRNA expression was higher in HG group than in NC group(P<0.05).After transfection,a lot of green fluorescence appeared in sh-TUG1 and sh-Con group,while no green fluorescence was observed in NC group.The expression of TUG1 mRNA was lower in sh-TUG1 group than in NC group(P<0.05).Accordingly,the recombinant lentivirus successfully infected BV2 cell.The expressions of the mRNA and protein of NLRP3,Caspase-1,GSDMD,IL-18 and L-1β were higher in HG,HG+sh-Con groups than in NC group(P<0.05).The expressions of the mRNA and protein of NLRP3,Caspase-1,GSDMD and IL-18 and L-1β were lower in HG+shTUG1 group than in HG,HG+sh-Con groups(P<0.05).Conclusions TUG1 is involved in high glucose induced pyroptosis in microglia and leads to inflammatory response.Silencing TUG1 can inhibit the pathological reaction.
7.Application of skin temperature monitoring in early warning of radiodermatitis risks during postoperative radiotherapy for female breast cancer
Yanhong ZHOU ; Wenhui GENG ; Mengmeng LI ; Yang GAO ; Lei LI ; Junpu YIN ; Zhikun LIU
Chinese Journal of Radiological Medicine and Protection 2024;44(2):127-132
Objective:To analyze the correlation between the skin temperature changes in the radiation area and the occurrence of radiodermatitis during postoperative radiotherapy for female breast cancer and to explore the application value of skin temperature monitoring in the early warning of radiodermatitis risks.Methods:A total of 103 patients who received three-dimensional conformal radiotherapy after radical mastectomy in the Fourth Hospital of Hebei Medical University were continuously enrolled from May to November, 2022 in this study. Their skin temperature in the radiation area and radiodermatitis were recorded weekly. The relationships between relative skin temperature differences and different grades of radiodermatitis were determined. The optimal cut-off values for grade ≥ radiodermatitis were calculated, and the predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Furthermore, the radiodermatitis risks under different skin temperatures were compared using binary logistic regression.Results:There was a positive correlation between the skin temperature in the radiation field and the grade of radiodermatitis. The optimal cut-off values for the average relative skin temperature difference of the chest wall (under 40 Gy/20 fractions), the maximum relative skin temperature difference of the chest wall (under 40 Gy/20 fractions), and the relative skin temperature difference of the supraclavicular block (under 30 Gy/15 fractions) were 0.45℃, 0.55℃, 0.15℃, respectively. The patients were divided into low- and high-risk groups based on the optimal cut-off values (0.45℃, 0.55℃, and 0.15℃). Binary logistic regression result showed that the risks of grade ≥ 2 radiodermatitis in the high-risk group were 5.71, 4.29, and 5.15 times those in the low-risk group, respectively ( OR = 5.71, 95% CI 1.81-17.99, P = 0.003; OR = 4.29, 95% CI 1.65-11.12, P = 0.003; OR = 5.15, 95% CI 2.16-12.31, P < 0.001). Conclusions:Skin temperature monitoring using medical infrared thermometers can be used to effectively predict the occurrence of grade ≥ 2 radiodermatitis. The skin temperature changes in the radiotherapy area should be closely observed. The risk of grade ≥ 2 radiodermatitis will increase when the mean and maximum relative temperature differences of the chest wall increase by 0.45℃ and 0.55℃, respectively under 40 Gy/20 fractions of radiotherapy or when the relative temperature differences of the supraclavicular block increases by 0.15℃ under 30 Gy/15 fractions of radiotherapy.
8.Retrospective gender analysis of bronchial artery embolization for massive hemoptysis
Wei FAN ; Zhuozhuo YAN ; Fenqiang LI ; Dongjun SU ; Gengxiang LI ; Lei DANG ; Yuxing PENG ; Wenhui WANG
Journal of Interventional Radiology 2024;33(6):636-641
Objective To retrospectively analyze the clinical features and prognosis of patients with massive pulmonary hemoptysis.Methods Patients with massive hemoptysis,who received bronchial artery embolization at authors'hospital between 2016 and 2018,were collected for this study.According to the gender,the patients were divided into female group(n=68)and male group(n=195).The primary disease,age at onset,length of hospital stay,bleeding site,embolization agent used,recurrence rate of hemoptysis,and mortality were calculated.SPSS.27.0 software was used to analyze the correlation between the age of onset,length of hospital stay,gender,recurrence of hemoptysis and death.RStudio4.2.2 software was used to make a normogram of patient's recurrent hemoptysis and death.Results The primary diseases in the top three were bacterial infection,bronchiectasis and old pulmonary tuberculosis,the incidences of them in the female group were 50%,22%and 15%respectively and in the male group were 43%,21%and 21%respectively.The mean age at onset in the female group was(54.6±16.8)years and in the male group was(60.1±14.0)years.The proportions of the bleeding site in the left lung,right lung,or both lungs in the female group were 6%,21%and 73%respectively and in the male group were 17%,21%and 62%respectively.The proportions of the used embolization agent of 350-560 μm PVA particles and 300-500 μm microspheres in the female group were 31%and 24%respectively and in the male group were 50%and 17%respectively.In the patients who had recurrent hemoptysis,the primary diseases in the top three were old pulmonary tuberculosis,pulmonary bacterial infection and bronchiectasis,the incidences of them in the female group were 33%,33%and 33%respectively and in the male group were 44%,34%and 10%respectively.The causes of death were much complex,in which pulmonary infection played an important role.Conclusion In patients with massive pulmonary hemoptysis,there are differences in the primary disease,bleeding site,applicable embolization agent,recurrence rate of hemoptysis,and mortality between females and males,in addition,the age is an independent influencing factor for recurrent hemoptysis and death.(J Intervent Radiol,2024,33:636-641)
9.Treatment and prognosis of patients of G3 nonfunctional pancreatic neuroendocrine tumors with proliferation index of Ki-67<55%
Xu HAN ; Xuefeng XU ; Wenchuan WU ; Lei ZHANG ; Wenquan WANG ; Tiantao KUANG ; Shansong WANG ; Liang LIU ; Wenhui LOU ; Yefei RONG
Chinese Journal of Digestive Surgery 2023;22(5):631-635
Objective:To investigate the treatment and prognosis of patients of G3 non-functional pancreatic neuroendocrine tumors (pNETs) with proliferation index of Ki-67 <55%.Methods:The retrospective and descriptive study was conducted. The clinicopathological data of 15 G3 non-functional pNETs patients with proliferation index of Ki-67<55% who were admitted to Zhongshan Hospital of Fudan University from April 2014 to April 2020 were collected. There were 11 males and 4 females, aged (58±10)years. All patients underwent radical resection of the primary lesion. Obser-vation indicators: (1) treatment; (2) postoperative pathological characteristics; (3) follow-up. Measure-ment data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M( Q1, Q3) or M(range). Count data were described as absolute numbers. The Pearson correlation analysis was used to verify the correlation between variables. Kaplan-Meier method was used to draw survival curve and calculate survival rate. Log-Rank test was used for survival analysis. Results:(1) Treatment. All 15 G3 nonfunctional pNETs patients underwent radical resection of the primary lesion of pancreas, including 5 cases receiving pancreati-coduodenectomy, 10 cases receiving distal pancreatectomy with splenectomy. There were 5 patients with simultaneous liver oligometastasis who underwent combined segmental (lobectomy) hepatectomy. All 15 patients had negative tumor margin, and the operation time and volume of intraoperative blood loss of 15 patients was 120(90,210)minutes and 200(50,300)mL, respectively. None of patient had complications ≥Ⅲ grade of the Clavien-Dindo classification during the postoperative 30 days. Of the 15 patients, there were 5 cases receiving comprehensive treatment based on CAPTEM chemo-therapy (temozolomide combined with capecitabine), 2 cases receiving local interventional therapy, 2 cases receiving CAPTEM chemotherapy, 1 case receiving local interventional therapy combined with molecular targeted therapy, 1 case receiving local interventional therapy combined with long acting somatostatin therapy, 1 cases receiving long acting somatostatin therapy combined with molecular targeted therapy, and 3 cases without postoperative treatment. (2) Postoperative patholo-gical characteristics. The tumor diameter of 15 patients was 3.3(range, 0.5-6.0)cm. There were 2 cases with tumor diameter <2 cm, 13 cases with tumor diameter ≥2 cm. The number of lymph nodes dissected and number of lymph nodes metastatic was 6(4, 10) and 2(1,3) in 15 patients, respectively, including 12 cases with positive lymph node metastasis. Of the 15 patients, there were 5 cases with tumor invasion of adjacent organ, 5 cases with simultaneous liver metastasis, 8 cases with perineural invasion and 8 cases with vascular invasion. There were 3, 7, and 5 patients with stage Ⅱ, stage Ⅲ, and stage Ⅳ of pathological TNM staging, respectively. The proliferation index of Ki-67 and mitotic count was 32%±9% and (11±9)/10 high power field in the primary lesion of 15 patients, respectively, and there was no correlation between proliferation index of Ki-67 and mitotic count ( P>0.05). (3) Follow-up. All 15 patients were followed up after surgery for (55±24)months. The median survival time of 15 patients was 78(range, 43-113)months, with 1-, 3-, 5-year overall survival rate as 100%, 92%, 62%, respectively. During the follow up, 9 of the 15 patients underwent tumor recurrence, with the recurrence time as 20(14, 44)months. There were 8 patients died of tumor recurrence or metastasis. The median survival time was 86(range, 51-120)months in 5 patients receiving comprehensive treatment based on CAPTEM chemotherapy, versus 53(range, 45-60)months in 10 patients receiving other postoperative adjuvant therapy or without postoperative treatment, showing a significant difference between them ( χ2=4.21, P<0.05). Conclusion:The prognosis of patients of G3 nonfunctional pNETs with proliferation index of Ki-67<55% undergoing radical resection combined with postoperative comprehensive treatment based on CAPTEM chemotherapy in better than that of patients receiving other postoperative adjuvant therapy or without posto-perative treatment.
10.Clinical and genetic analysis of children with developmental and epileptic encephalopathy 8 caused by ARHGEF9 gene variants
Zhi LEI ; Xuan ZHENG ; Lei LIU ; Zhipeng JIN ; Wenhui NING ; Daoqi MEI ; Pengbo GUO ; Yanhong WANG ; Yaodong ZHANG ; Shiyue MEI
Chinese Journal of Neurology 2023;56(3):305-312
Objective:To analyze the clinical characteristics and genetic variation of 2 children with developmental and epileptic encephalopathy 8 (DEE8).Methods:Whole-exome sequencing (WES) was performed to determine the potential variants in the probands. Candidate variants identified by WES were validated by Sanger sequencing and quantitative real-time polymerase chain reaction. X chromosome inactivation (XCI) detection was performed in the proband 1′s mother and proband 2 to detect the allelic expression difference of ARHGEF9. Results:Both of the cases showed global developmental delay. Proband 1 presented with delayed motor and speech development, intellectual disability, and seizures. Electroencephalography of proband 1 showed slow background activity, with spikes, spike and waves in bilateral frontal and midline regions during sleep. While proband 2 showed delay in acquisition of language, motor skills, and cognition, but no seizures. It was identified that proband 1 carried a novel maternally derived heterozygous splicing variant (c.925-2A>T) in ARHGEF9 by WES, which was verified in Sanger sequencing. The XCI in proband 1′s mother was observed, and the expression ratio of mutant ARHGEF9 and wild-type was 0∶100%. A novel exon 3-10 heterozygous deletion of ARHGEF9 was identified in proband 2, and this variant was not found in his unaffected parents. Conclusions:DEE8 disorders are relatively rare. Most of the patients have varying degrees of neurodevelopmental phenotype, but epilepsy is not a specific clinical manifestation. ARHGEF9 gene deletion and splicing variation may be the genetic cause of the 2 probands, and above findings have enriched the spectrum of variation and phenotype of DEE8.

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