1.Effect of practicing Traditional Chinese Medicine guidance on health status in weightless conditions
Xiaorui WU ; Haijun HAN ; Junlian LIU ; Quanchun FAN ; Liguo GUO ; Yu LIU ; Jiaping WANG ; Jihong SHEN ; Xining CHEN
Space Medicine & Medical Engineering 2025;36(4):385-388
Objective To study the effect of practicing traditional Chinese medicine(TCM)guidance on the health in weightless conditions based on the examination results of the TCM diagnostic instrument.Methods 6 subjects in weightless conditions practiced TCM guidance for 14 consecutive days,once a day for 8 minutes each time.The Digital TCM Diagnostic Instrument and TCM Syndrome Diagnosis Scale were used to collect information before and after their practice of TCM guidance through diagnostic methods of observation,palpation and inquiry according to TCM theory.The data such as the degree of virtual-reality,pulse rate,and characteristic parameters of pulse diagrams h3/h1,h4/h1,t1,h1/t1 were processed and analyzed,and the changes before and after the practice were compared.Results Compared with before the practice,the degree of deficiency syndrome was significantly reduced after practicing TCM guidance(P<0.05),the pulse rate was significantly decreased(P<0.01),and the pulse diagnosis parameters h3/h1 and t1 were significantly decreased(P<0.05),while h4/h1 and h1/t1 showed no significant changes.Conclusion Practicing TCM guidance in weightless conditions is helpful for enhance cardiovascular regulatory function,correcting symptom bias,adjusting the body's balance state,and has a positive effect on health.
2.NT-proBNP Is an Important Indicator for Predicting Heart Failure after Acute Myocardial Infarction
Ruifeng LIU ; Xiangyu GAO ; Jihong FAN
Journal of Medical Research 2025;54(2):172-176,187
Objective To investigate the relationship between the peak levels of N-terminal pro-B-type natriuretic peptide(NT-proBNP)during hospitalization and the risk of left ventricular ejection fraction(LVEF)<50%during the recovery period in pa-tients with acute myocardial infarction(AMI).Methods This retrospective cohort study included 220 AMI patients treated at Beijing Friendship Hospital,Capital Medical University from January 2018 to December 2023.The patients were divided into three groups accord-ing to the tripartite value of peak levels of NT-proBNP during hospitalization.Baseline clinical characteristics,laboratory test results,and peak levels of NT-proBNP were collected.The primary outcome was LVEF<50%during the recovery period.By incorporating con-founding factors,three stepwise complex Logistic regression model and linear regression model were used to analyze the relationship be-tween peak levels of NT-proBNP and the risk of LVEF<50%.Restricted cubic spline(RCS)was used to explore the nonlinear relation-ship between them.Results The peak levels of NT-proBNP were positively correlated with an increased risk of LVEF<50%during the recovery period,even after adjusting for confounding factors.RCS analysis revealed the nonlinear relationships between them.When the peak levels of NT-proBNP was 1822.991pg/ml,the sensitivity and specificity of predicting LVEF<50%were 57.14%and 70.97%.Conclusion The NT-proBNP peak levels of 1822.991 pg/ml is a useful indicator for predicting LVEF<50%in AMI pa-tients during the recovery period,and it can be used to identify high-risk AMI groups and provide basis for early active intervention.
3.Application of ProGlide vascular stitching device in catheter-directed thrombolysis for patients with arterial thrombosis of lower limb:analysis of its safety and efficacy
Tao LIU ; Suiyuan SHANG ; Bo SUN ; Jicun ZHANG ; Jiefeng ZHANG ; Jihong LIU
Journal of Interventional Radiology 2025;34(12):1364-1368
Objective To discuss the safety and effectiveness of ProGlide vascular stitching device in catheter-directed thrombolysis for patients with thrombosis of lower limb arteries.Methods The patients with arterial thrombosis of lower extremity,who received catheter-directed thrombolysis at the Department of Vascular Surgery of Weifang People's Hospital of China from January 2020 to December 2023,were collected for this study.In performing the vascular interventional surgery,a 6-Fr femoral artery sheath was used to accomplish the catheter-directed thrombolysis in all patients.When the catheter-directed thrombolysis was ended,ProGlide vascular stitching device was used to suture the femoral artery puncture point,or the femoral artery puncture point was oppressed with a finger.The hemostatic success rate and the incidence of relevant complications were compared between the two groups.Results A total of 156 patients who received catheter-directed thrombolysis of lower extremity were enrolled in this study.Of the 156 patients,ProGlide vascular stitching device was used to suture the femoral artery puncture point in 80(ProGlide device group)and finger-oppression was adopted in 76(finger-oppression group).Compared with finger-oppression group,in ProGlide device group the hemostatic success rate was obviously higher(96.25%vs.80.3%,P=0.002).Nine patients in finger-oppression group(11.8%)and 2 patients in ProGlide device group(2.5%)developed puncture site hematoma or pseudoaneurysm(P=0.023).Five patients in finger-oppression group(6.6%)had to receive surgical operation to repair the femoral artery,and one patient in ProGlide device group(1.25%)developed ProGlide device-related femoral artery occlusion.Adverse events occurred in 15 patients(19.7%)of finger-oppression group and 3 patients(3.75%)of ProGlide device group(P=0.002).Conclusion ProGlide vascular stitching device can be safely used in patients with arterial thrombosis of lower extremity receiving catheter-directed thrombolysis.This device carries high success rate for suturing the femoral artery puncture point,thus,the incidence of hematoma at the puncture site can be reduced.
4.Establishment and value analysis of a clinical predictive model for patients with secondary hemophagocytic lymphohistiocytosis
Wuchao WANG ; Siqi LIU ; Hao GONG ; Yuanyuan PEI ; Jihong ZHU
Chinese Journal of Emergency Medicine 2025;34(9):1251-1257
Objective:To establish a clinical predictive model for poor clinical outcomes in patients with secondary hemophagocytic lymphohistiocytosis (sHLH) and to evaluate its clinical application value.Methods:Patients diagnosed with sHLH who met the study criteria and were initially admitted to the Emergency Department of Peking University People’s Hospital between September 2017 and December 2024 were enrolled. Clinical data were collected, and patients were categorized into a death group or a survival group based on clinical outcomes as the observational endpoint. Differences in clinical data between the two groups were compared. Univariate and multivariate logistic regression analyses were conducted to screen significant variables, and a predictive model nomogram was developed using the R programming language. The discriminative ability, calibration, and clinical utility of the predictive model were assessed using the receiver operating characteristic curve, net reclassification improvement index, calibration curve, and decision curve analysis. K-fold cross-validation was employed to evaluate the model's performance. The model was compared with the Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score and the Sequential Organ Failure Assessment (SOFA) score.Results:A total of 116 cases were enrolled in the study, comprising 36 cases in the mortality group and 80 cases in the survival group. Multivariate logistic analysis identified age, platelet count, prothrombin time, total bilirubin, altered mental status, and cardiac involvement as factors significantly associated with clinical outcomes. Based on these factors, an early warning model for adverse clinical prognosis was established, and a corresponding nomogram was developed. The model demonstrated excellent discriminative ability, calibration, and clinical utility (AUC=0.950; Hosmer-Lemeshow test: χ2=2.5476, P=0.980; calibration curve: R 2=0.649, P=0.906), outperforming both the APACHE Ⅱ and SOFA scores in predicting adverse outcomes (both P<0.01). Conclusions:This study established an early warning model for adverse clinical prognosis in sHLH based on objective clinical data. The model aids in the clinical assessment of sHLH patients, facilitates early warning, and supports clinical decision-making for treatment.
5.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.
6.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.
7.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
8.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; 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(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
9.The Relationship Between Plasma Big Endothelin-1 Level and Left Ventricular Remodeling Assessed by Cardiac Magnetic Resonance in Patients With Hypertrophic Obstructive Cardiomyopathy
Youzhou CHEN ; Wenlan HU ; Jihong WANG ; Shubin QIAO ; Wei LIU
Chinese Circulation Journal 2025;40(1):63-68
Objectives:To explore the relationship between plasma big endothelin-1(Big ET-1)level and left ventricular(LV)remodeling assessed by cardiac magnetic resonance(CMR)in patients with hypertrophic obstructive cardiomyopathy(HOCM).Methods:A total of 180 consecutive HOCM patients were enrolled from November 2013 to July 2015 in Fuwai Hospital,Chinese Academy of Medical Sciences.The baseline characteristics of the patients were collected and the plasma Big ET-1 levels were measured.According to LV remodeling index(LVRI),the patients were divided into severe remodeling group(LVRI>1.3 g/ml,n=119)and mild remodeling group(LVRI≤1.3 g/ml,n=61).The Pearson correlation analysis and multivariate logistic regression analysis were conducted to assess the correlations between plasma Big ET-1 level and indicators of LV remodeling.Results:Compared to the mild remodeling group,the plasma Big ET-1 level([0.84±0.30]pmol/L vs.[0.41±0.19]pmol/L),LVRI([1.7±0.3]g/ml vs.[1.1±0.1]g/ml),the extent of late gadolinium enhancement(LGE)([16.8±8.9]g vs.[7.0±6.6]g)were significantly higher in the severe remodeling group(all P<0.001).Pearson correlation analysis revealed that in patients with HOCM,plasma Big ET-1 level were positively correlated with left atrial anteroposterior diameter,interventricular septal thickness(IVS),LV mass(LVM),LVRI,LGE and LV outflow tract(LVOT)gradient and negatively correlated with LV ejection fraction(all P<0.05).Multivariate logistic regression analysis showed that LVM(OR=1.037,95% CI:1.019-1.056,P<0.001)and plasm Big ET-1 level(OR=11.461,95% CI:2.264-58.014,P=0.003)were the independent determinants for severe LV remodeling in HOCM patients.Conclusions:Among patients with HOCM,the plasma Big ET-1 level are markedly higher in those with severe LV remodeling and are positively associated with left atrial anteroposterior diameter,IVS,LVRI,LVM,LVOT gradient and LGE.Elevated Big ET-1 level and LVM are independent determinants of severe LV remodeling in HOCM patients.
10.Clinical characteristics of juvenile dermatomyositis in anti-nuclear matrix protein 2 antibody-positive patients and risk factors for severity: a national multicenter retrospective study
Huiyuan YANG ; Wanzhen GUAN ; Ling2 YANG ; Haimei LIU ; Xiaoqing3 LI ; Haiguo YU ; Meiping LU ; Jun YANG ; Xiaohui LIU ; Hongxia ZHANG ; Wei ZHANG ; Jihong XIAO ; Xiaozhong LI ; Guomin LI ; Hong CHANG ; Sheng HAO ; Yue DU ; Daliang XU ; Ling WU ; Wenjie ZHENG ; Li LIU ; Xinhui JIANG ; Shaohui ZHU ; Dongmei ZHAO ; Xuemei TANG ; Li SUN
Chinese Journal of Pediatrics 2025;63(12):1299-1305
Objective:To investigate the clinical characteristics and independent risk factors of severe disease in patients with anti-nuclear matrix protein (NXP) 2 antibody-positive juvenile dermatomyositis (JDM).Methods:A retrospective cohort study was conducted, including 219 anti-NXP2 antibody-positive JDM patients admitted to 23 children′s hospitals across China from July 2011 to July 2023. Patients were classified into severe and non-severe groups based on classification criteria for severe dermatomyositis. Demographic characteristics, clinical manifestations, and laboratory parameters were compared between the 2 groups using independent sample t-test, Mann-Whitney U test, or χ2 test. Univariate and multivariate Logistic regression analyses were performed to identify risk factors for severe disease. The receiver operating characteristic curve was employed to calculate optimal cut-off values. Results:Among the 219 patients, 108 were male and 111 were female, with an age at onset of 6.3 (3.5, 9.4) years. The severe group comprised 69 patients, and the non-severe group 150 patients. The severe group had significantly higher rates of fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, as well as elevated levels of ferritin-to-albumin ratio (FAR), creatine kinase (CK), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) (all P<0.05). Multivariate analysis identified anti-Ro52 antibody positivity ( OR=13.26, 95% CI 1.37-128.29) and elevated FAR ( OR=1.90, 95% CI 1.09-2.31) as independent risk factors for severe anti-NXP2 antibody-positive JDM (both P<0.05). Receiver operating characteristic curve analysis revealed that a FAR cutoff value of 6.82 predicted severe disease with an area under the curve of 0.87 (95% CI 0.81-0.94, P<0.001), sensitivity of 0.85, and specificity of 0.70. All patients received glucocorticoid therapy, and the severe group received higher proportions of steroid pulse therapy, cyclophosphamide, mycophenolate mofetil, intravenous immunoglobulin, biologics, and adjuvant treatments compared to the non-severe group (all P<0.05). In terms of outcomes, 2 patients (2.9%) in the severe group died (due to neurological involvement and intestinal perforation, respectively), while the remaining patients achieved complete clinical response or remission. All patients in the non-severe group achieved remission. Conclusions:The primary clinical features of anti-NXP2 antibody-positive JDM included fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, and elevated levels of CK, AST, LDH, and FAR. Furthermore, anti-Ro52 antibody positivity and a FAR>6.82 were identified as independent risk factors.

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