1.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 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 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
2.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
3.Traditional Chinese Medicine in Anti-gastrointestinal Tumor Treatment via Targeting Ferroptosis
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):853-861
The incidence of gastrointestinal tumors is increasing year by year and it has become a world-wide health problem with high incidence and poor prognosis.Ferroptosis,a new type of cell death,is mainly caused by abnormal intracellular iron metabolism leading to excess iron,which results in high pro-duction of intracellular reactive oxygen species(ROS)and accumulation of lipid peroxides.With the gradual deepening of the study of ferroptosis,it is found that ferroptosis can sensitize gastrointestinal tumor cells to drug therapy,so as to achieve a better therapeutic effect.Therefore,ferroptosis has attrac-ted widespread attention in the field of treatment of gastrointestinal tumors in recent years.Traditional Chinese medicines have a long history and have been widely utilized in the treatment of cancer due to its low cost and fewer adverse effects.More and more studies have found that traditional Chinese medicine can induce ferroptosis in gastrointestinal tumors and thus inhibit tumor cell growth and metastasis.Here we first introduce the theory of ferroptosis,then further present traditional Chinese medicine monomers that induce ferroptosis in gastrointestinal tumor cells through modulating iron metabolism,inhibiting fer-roptosis related antioxidant system and regulating nuclear factor erythroid 2-related factor 2(NRF2),thereby inhibiting gastrointestinal tumorigenesis and progression.Moreover,we expound the research of anti-gastrointestinal tumor using traditional Chinese medicine and traditional Chinese medicine monomer combined with chemotherapy drugs to provide a new way of thinking for the treatment of digestive tract tumors.
4.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; 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 ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; 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 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
5.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; 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 ; 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 ; 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 ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
6.Predictive value of miR-1,BNP and IMA for unstable angina pectoris
Yan MENG ; Xue-feng WANG ; Yin LIU ; Yan-bao SHEN ; Gui-lan KANG
Chinese Journal of cardiovascular Rehabilitation Medicine 2025;34(2):189-193
Objective:To investigate the predictive value of microRNA-1(miR-1),brain natriuretic peptide(BNP)and ischemia-modified albumin(IMA)for unstable angina pectoris(UAP).Methods:We enrolled 237 UAP patients admitted to Xining Second People's Hospital between June 2018 and December 2020 as UAP group.Another 86 healthy subjects undergoing physical examination simultaneously were enrolled as control group.MiR-1 expression,BNP and IMA levels were measured.General data between UAP group and control group,serum miR-1 expression,BNP and IMA levels among different Braunwald class and prognosis were compared.Receiver operat-ing characteristic(ROC)curve was employed to analyze predictive value of miR-1,BNP,IMA and their combina-tion for prognosis in UAP patients.Results:Compared with participants in the control group,those in UAP group had significant higher serum miR-1 expression[(1.80±0.59)vs.(0.93±0.11)],BNP[(107.34±37.46)pg/ml vs.(52.31±10.64)pg/ml]and IMA[(79.76±19.29)g/L vs.(53.16±6.43)g/L](P<0.001 all).As Braun-wald class increased(class Ⅰ~Ⅲ),serum miR-1 expression,BNP and IMA levels elevated(P<0.001 all).Com-pared with patients in favorable outcome group,those in unfavorable outcome group had significant higher serum miR-1 expression[(2.31±0.54)vs.(1.53±0.41)],BNP[(147.03±29.63)pg/ml vs.(85.95±19.46)pg/ml]and IMA[(97.24±15.35)g/L vs.(70.35±13.88)g/L](P<0.001 all).ROC curve indicated that AUC of com-bined detection for predicting unfavorable outcome in UAP patients was 0.925(95%CI 0.884~0.955),which was significantly higher than miR-1(AUC=0.880,95%CI 0.831~0.918),BNP(AUC=0.863,95%CI 0.813~0.904)and IMA(AUC=0.900,95%CI 0.854~0.935)alone(Z=2.884,3.130,2.090,P<0.05 or<0.01).Conclusion:MiR-1 expression,BNP and IMA levels significantly increase in UAP patients,and they are associated with the severity of disease.Combined detection has good predictive value for unfavorable outcome in UAP pa-tients.
7.Application of AI-assisted stereotactic robotic surgery in treatment of minor thalamic hemorrhage in the elderly
Ruishan ZHANG ; Weimin ZHANG ; Xianghui ZHANG ; Sibo XUE ; Jian SONG ; Kai WANG ; Tingting SHEN ; Yan ZHOU ; Hongbin KU
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2025;27(3):359-363
Objective To evaluate the application value of stereotactic robotic surgery driven by a multi scenario AI system in the elderly with severe hypoperfusion in the internal capsule area and minor HTH.Methods A retrospective analysis was conducted on 101 minor HTH patients com-plicated with severe hypoperfusion in the internal capsule area identified by an AI diagnostic sys-tem in our department from January to October 2024.Among them,48 cases who underwent ster-eotactic robotic drainage with AI system support were assigned into the study group,and 53 cases of conventional drug treatment were into the control group.The general clinical data were com-pared between the two group.Improvement rate of rCBF 14 d after treatment,effective rate 90 d after treatment,favorable prognosis rate,and incidence of shunt dependent hydrocephalus were compared between the two groups to evaluate the application value of AI-assisted stereotactic ro-botic surgery in these patients.Results The study group had significantly higher improvement rate of rCBF 14 d after treatment,better effective rate and larger ratio of favorable prognosis 90 d after treatment when compared with the control group(60.4%vs 39.6%,P<0.05;62.5%vs 41.5%,P<0.05;64.6%vs 43.4%,P<0.05).Conclusion Stereotactic robotic assisted drainage driven by multi scenario AI system can significantly improve the prognosis of the elderly minor HTH patients complicated with severe hypoperfusion in the internal capsule area.
8.Construction and practice of perioperative oral nursing program for patients with laparoscopic thyroidectomy via oral vestibule approach
Fengjie XUE ; Yan SI ; Yunting WANG ; Ming LIU ; Meiping SHEN ; Pingping WANG
Chinese Journal of Practical Nursing 2025;41(29):2241-2248
Objective:To develop and validate a perioperative oral care protocol for patients undergoing oral vestibular approach endoscopic thyroid cancer radical surgery, providing practical guidance for clinical nursing.Methods:The protocol was constructed through literature analysis and Delphi expert consultation. A prospective non-randomized controlled study was conducted using convenience sampling, enrolling 60 patients who underwent oral vestibular approach endoscopic thyroid cancer radical surgery at the First Affiliated Hospital with Nanjing Medical University Thyroid Center between August 2023 and May 2024. Participants were divided into control group (from August to December, 2023) and experimental group (from January to May, 2024) based on admission dates with 30 cases in each group. The control group received routine care, while the experimental group received the developed oral care protocolin on the basis of the control group. Postoperative pain scores, mouth-opening difficulties, and oral cleanliness were compared on days 1, 3, and 7 after surgery.Results:The final protocol comprised 7 first-level indicators (team collaboration, health education, preoperative oral assessment, preoperative management, intraoperative management, postoperative management, and discharge follow-up), 17 second-level indicators, and 49 third-level indicators. The control group had 4 males and 26 females, with an age of (29.57 ± 5.34) years; the experimental group had 6 males and 24 females, with an age of (29.87 ± 6.25) years. On postoperative days 1, 3, and 7, the pain scores were 3.87 ± 1.01, 3.30 ± 0.92, and 2.53 ± 0.68 in the control group and 3.20 ± 0.87, 2.10 ± 0.76, and 1.50 ± 0.51 in the experimental group, respectively. The differences between the two groups were statistically significant ( t = 2.89, 5.12, 6.34, all P<0.05). For mouth-opening difficulties, the control group had 6, 13, and 15 patients with grade I on postoperativedays 1, 3, and 7, respectively, while the experimental group had 10, 20, and 25 patients with gradeⅠ. The control group had 20, 14, and 14 patients with gradeⅡonpostoperative days 1, 3, and 7, respectively, while the experimental group had 17, 10, and 5 patients with gradeⅡ. The control group had 4, 3, and 1 patients with grade Ⅲ on postoperative days 1, 3, and 7, respectively, while the experimental group had 3, 0, and 0 patients with grade Ⅲ. There were 0 cases in both groups with grade Ⅳ. The differences between the two groups on postoperative days 3, and 7 were statistically significant ( χ2 = 10.45, 18.67, both P<0.05). For oral cleanliness, the control group had 3, 4, and 5 patients with excellent cleanliness on postoperative days 1, 3, and 7, respectively, while the experimental group had 11, 16, and 19 patients with excellent cleanliness. The control group had 20, 22, and 23 patients with good cleanliness on postoperative days 1, 3, and 7, respectively, while the experimental group had 18, 13, and 10 patients with good cleanliness. The control group had 7 (23.33%), 4 (13.33%), and 2 (6.67%) patients with poor cleanliness on postoperative days 1, 3, and 7, respectively, while the experimental group had 1 (3.33%), 1 (3.33%), and 1 (3.33%) patients with poor cleanliness. The differences between the two groups were statistically significant ( χ2 = 9.19, 11.32, 16.68, all P<0.05). Conclusions:The developed perioperative oral care protocol is scientifically sound, feasible, and practical. Following the intervention, significant decreases in pain scores, alleviation of trismus symptoms, and marked improvements in oral cleanliness were observed in patients compared to pre-intervention assessments, and worth further clinical application.
9.Predictive value of miR-1,BNP and IMA for unstable angina pectoris
Yan MENG ; Xue-feng WANG ; Yin LIU ; Yan-bao SHEN ; Gui-lan KANG
Chinese Journal of cardiovascular Rehabilitation Medicine 2025;34(2):189-193
Objective:To investigate the predictive value of microRNA-1(miR-1),brain natriuretic peptide(BNP)and ischemia-modified albumin(IMA)for unstable angina pectoris(UAP).Methods:We enrolled 237 UAP patients admitted to Xining Second People's Hospital between June 2018 and December 2020 as UAP group.Another 86 healthy subjects undergoing physical examination simultaneously were enrolled as control group.MiR-1 expression,BNP and IMA levels were measured.General data between UAP group and control group,serum miR-1 expression,BNP and IMA levels among different Braunwald class and prognosis were compared.Receiver operat-ing characteristic(ROC)curve was employed to analyze predictive value of miR-1,BNP,IMA and their combina-tion for prognosis in UAP patients.Results:Compared with participants in the control group,those in UAP group had significant higher serum miR-1 expression[(1.80±0.59)vs.(0.93±0.11)],BNP[(107.34±37.46)pg/ml vs.(52.31±10.64)pg/ml]and IMA[(79.76±19.29)g/L vs.(53.16±6.43)g/L](P<0.001 all).As Braun-wald class increased(class Ⅰ~Ⅲ),serum miR-1 expression,BNP and IMA levels elevated(P<0.001 all).Com-pared with patients in favorable outcome group,those in unfavorable outcome group had significant higher serum miR-1 expression[(2.31±0.54)vs.(1.53±0.41)],BNP[(147.03±29.63)pg/ml vs.(85.95±19.46)pg/ml]and IMA[(97.24±15.35)g/L vs.(70.35±13.88)g/L](P<0.001 all).ROC curve indicated that AUC of com-bined detection for predicting unfavorable outcome in UAP patients was 0.925(95%CI 0.884~0.955),which was significantly higher than miR-1(AUC=0.880,95%CI 0.831~0.918),BNP(AUC=0.863,95%CI 0.813~0.904)and IMA(AUC=0.900,95%CI 0.854~0.935)alone(Z=2.884,3.130,2.090,P<0.05 or<0.01).Conclusion:MiR-1 expression,BNP and IMA levels significantly increase in UAP patients,and they are associated with the severity of disease.Combined detection has good predictive value for unfavorable outcome in UAP pa-tients.
10.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.

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