1.Effectiveness of additional anti-rotation steel plate assisted intramedullary nail technology in aseptic femoral non-union.
Wei WANG ; Miaomiao YANG ; Xiaowen DENG ; Fan LI ; Wenbo LI ; Weiwei SHEN ; Peisheng SHI ; Jie SHI ; Chuangbing LI ; Yun XUE ; Qiuming GAO
Chinese Journal of Reparative and Reconstructive Surgery 2025;39(9):1170-1174
OBJECTIVE:
To explore the effectiveness of additional anti-rotation steel plate assisted intramedullary nail technology in treatment of aseptic femoral non-union patients.
METHODS:
A retrospective analysis was conducted on 21 patients with aseptic femoral non-union who admitted between September 2020 and October 2024 and treated with additional anti-rotation steel plate assisted intramedullary nail technology. There were 17 males and 4 females, aged 25-67 years (mean, 44 years). There were 19 cases of femoral anterograde intramedullary nail fixation, 1 case of femoral retrograde intramedullary nail fixation, and 1 case of steel plate fixation with fatigue fracture. There were 9 cases of hypertrophic non-union and 12 cases of atrophic non-union. All patients had varying degrees of fracture end atrophy/sclerosis. Among them, 20 patients who were fixed with intramedullary nails underwent removal of soft tissue and hardened bone at the fracture end, and cortical treatment resulted in the appearance of "chili sign" at the fracture end. Iliac bone grafting and anti-rotation steel plate fixation were performed. One patient with steel plate fixation was removed the steel palte and fixed with a retrograde intramedullary nail, while the hardened bone at the fracture end was removed, iliac bone grafting and anti-rotation steel plate fixation were performed. Postoperative follow-up observation included the incision healing, maximum knee flexion range of motion, bone healing, length of lower limbs, and subjective satisfaction. The lower extremity functional scale (LEFS) score was used to evaluate the lower limb function.
RESULTS:
All incisions healed by first intention. All patients were followed up 7-26 months (mean, 15.5 months). At last follow-up, the femoral fracture healed with the obvious callus formation at the fracture end; the maximum knee flexion range of motion was 95°-127° (mean, 112.67°). The LEFS score increased from 29.9±6.7 before operation to 75.9±3.0 at last follow-up, and the difference was significant (t=-29.622, P<0.001). Except for 1 patient who underwent intramedullary nail dynamic treatment before operation and had a lower limb shortening of about 0.9 cm, the other patients had bilateral lower limbs of equal length. All patients had no postoperative infections, mal-union of fractures, deep vein thrombosis, joint stiffness, or other complications.
CONCLUSION
The use of additional anti-rotation steel plate assisted intramedullary nail technology in the treatment of aseptic femoral non-union not only overcomes the drawbacks of insufficient stability at the fracture end of intramedullary nails, but also overcomes the shortcomings of biased fixation with steel plates. It has the advantages of minimal trauma, effective maintenance of fracture stability, and ideal postoperative functional recovery, making it an effective treatment for aseptic femoral non-union.
Humans
;
Male
;
Fracture Fixation, Intramedullary/instrumentation*
;
Female
;
Bone Plates
;
Middle Aged
;
Adult
;
Femoral Fractures/surgery*
;
Retrospective Studies
;
Bone Nails
;
Aged
;
Fractures, Ununited/surgery*
;
Treatment Outcome
;
Bone Transplantation/methods*
;
Steel
;
Fracture Healing
2.Predictive value of bpMRI for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L.
Lai DONG ; Rong-Jie SHI ; Jin-Wei SHANG ; Zhi-Yi SHEN ; Kai-Yu ZHANG ; Cheng-Long ZHANG ; Bin YANG ; Tian-Bao HUANG ; Ya-Min WANG ; Rui-Zhe ZHAO ; Wei XIA ; Shang-Qian WANG ; Gong CHENG ; Li-Xin HUA
National Journal of Andrology 2025;31(5):426-431
Objective: The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods: The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results: Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62-24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16-17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12-3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion: For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans
;
Male
;
Prostatic Neoplasms/diagnostic imaging*
;
Lymphatic Metastasis
;
Retrospective Studies
;
Nomograms
;
Prostate-Specific Antigen/blood*
;
Lymph Nodes/pathology*
;
Pelvis
;
Predictive Value of Tests
;
Prostatectomy
;
Lymph Node Excision
;
Risk Factors
;
Magnetic Resonance Imaging
;
Logistic Models
;
Middle Aged
;
Aged
3.PARylation promotes acute kidney injury via RACK1 dimerization-mediated HIF-1α degradation.
Xiangyu LI ; Xiaoyu SHEN ; Xinfei MAO ; Yuqing WANG ; Yuhang DONG ; Shuai SUN ; Mengmeng ZHANG ; Jie WEI ; Jianan WANG ; Chao LI ; Minglu JI ; Xiaowei HU ; Xinyu CHEN ; Juan JIN ; Jiagen WEN ; Yujie LIU ; Mingfei WU ; Jutao YU ; Xiaoming MENG
Acta Pharmaceutica Sinica B 2025;15(9):4673-4691
Poly(ADP-ribosyl)ation (PARylation) is a specific form of post-translational modification (PTM) predominantly triggered by the activation of poly-ADP-ribose polymerase 1 (PARP1). However, the role and mechanism of PARylation in the advancement of acute kidney injury (AKI) remain undetermined. Here, we demonstrated the significant upregulation of PARP1 and its associated PARylation in murine models of AKI, consistent with renal biopsy findings in patients with AKI. This elevation in PARP1 expression might be attributed to trimethylation of histone H3 lysine 4 (H3K4me3). Furthermore, a reduction in PARylation levels mitigated renal dysfunction in the AKI mouse models. Mechanistically, liquid chromatography-mass spectrometry indicated that PARylation mainly occurred in receptor for activated C kinase 1 (RACK1), thereby facilitating its subsequent phosphorylation. Moreover, the phosphorylation of RACK1 enhanced its dimerization and accelerated the ubiquitination-mediated hypoxia inducible factor-1α (HIF-1α) degradation, thereby exacerbating kidney injury. Additionally, we identified a PARP1 proteolysis-targeting chimera (PROTAC), A19, as a PARP1 degrader that demonstrated superior protective effects against renal injury compared with PJ34, a previously identified PARP1 inhibitor. Collectively, both genetic and drug-based inhibition of PARylation mitigated kidney injury, indicating that the PARylated RACK1/HIF-1α axis could be a promising therapeutic target for AKI treatment.
4.Effects of Tongxinluo capsules on pharmacokinetics of rivaroxaban in rats
Guosheng FU ; Jie SHEN ; Jiekai HUA ; Yupeng SHAO ; Wenna MA ; Wei LIU ; Jianwei ZHANG ; Xinnan CHANG
China Pharmacy 2025;36(23):2930-2934
OBJECTIVE To investigate the impact of Tongxinluo capsules on the pharmacokinetics of rivaroxaban in rats. METHODS Rats were randomly divided into rivaroxaban alone group (2.70 mg/kg), low-dose Tongxinluo capsules combined with rivaroxaban group (Tongxinluo capsules 0.28 g/kg+rivaroxaban 2.70 mg/kg), and high-dose Tongxinluo capsules combined with rivaroxaban group (Tongxinluo capsules 0.84 g/kg+rivaroxaban 2.70 mg/kg), with five rats in each group. Following seven consecutive days of gavage with normal saline or the corresponding doses of Tongxinluo capsules, the rats were subjected to a final gavage administration of rivaroxaban. Blood samples were collected at 0 h prior to the final administration and at 0.16, 0.33, 0.50, 0.75, 1, 1.5, 2, 4, 8, 12 and 24 h post-final administration. The plasma concentration of rivaroxaban in rats was determined by high-performance liquid chromatography-tandem mass spectrometry. The pharmacokinetic parameters [peak concentration (cmax), half-life (t1/2), area under the drug concentration time curve (AUC), mean residence time (MRT), clearance (CL), apparent volume of distribution (Vd) and peak time (tmax)] of each group were calculated using a non-compartmental model of MonolixSuite 2023R1 pharmacokinetic software. RESULTS Compared with rivaroxaban alone group, AUC₀₋ₜ and AUC0-∞ of rivaroxaban in rats were increased significantly in high-dose Tongxinluo capsules+rivaroxaban group (P<0.05), while CL was decreased significantly (P<0.05); t1/2 and MRT were shortened, tmax was extended, cmax was increased, while Vd was decreased, but there was no statistical significance (P>0.05). CONCLUSIONS Rivaroxaban combined with Tongxinluo capsules significantly increases the plasma exposure of rivaroxaban in rats. Potential drug-drug interactions should be considered in clinical practice based on the co-administration conditions.
5.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.
6.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.
7.Four-dimensional flow MRI evaluation of hemodynamic in transplant renal artery stenosis: a preliminary study
Liwen SHEN ; Zhaoyu XING ; Liang PAN ; Jie CHEN ; Songlin GUO ; Wei XING
Chinese Journal of Radiology 2025;59(3):286-292
Objective:To explore the value of four-dimensional flow (4D Flow) MRI in evaluating hemodynamic changes of transplant renal artery stenosis (TRAS).Methods:The study was a cross-sectional study. A retrospective analysis of 67 patients after renal transplantation was performed in Third Affiliated Hospital of Soochow University from January 2021 to October 2022. All patients were examined with non-contrast enhanced magnetic resonance angiography (NCE-MRA) and 4D Flow MRI. After NCE-MRA assessment, the patients were divided into a non stenosis group (39 cases), non-obvious stenosis group (stenosis degree<50%, 13 cases) and obvious stenosis group (stenosis degree≥50%, 15 cases). The 4D Flow MRI data were analyzed using the post-processing software CVI42 (Canada) to measure hemodynamic parameters of the transplanted renal artery in the non-stenosis group, as well as the proximal, central, and distal regions of the stenosis in the non-obvious stenosis group and obvious stenosis group. The parameters included net flow rate, maximum flow rate, average velocity, peak velocity, average wall shear stress, and maximum wall shear stress. One way analysis of variance and least significant difference (LSD) were used to test the differences of hemodynamic parameters among the three groups and between the proximal, central and distal regions of the stenosis. Pearson correlation coefficient was used to evaluate the correlation between hemodynamic parameters of transplant renal artery and estimated glomerular filtration rate (eGFR).Results:The net flow, maximum flow and average velocity at the proximal region of stenosis in the group with obvious stenosis of transplanted renal artery were significantly lower than those in the non-stenosis group and the non-obvious stenosis group (all P<0.05). The net flow and maximum flow at the distal region of stenosis in both obvious stenosis group and non-obvious stenosis group were lower than those in non-stenosis group, and the differences were statistically significant (both P<0.001). The mean velocity and peak velocity at the distal region of stenosis in the obvious stenosis group were higher than those in the non-stenosis group, and the differences were statistically significant (both P<0.05). The maximum and average wall shear stress at the distal region of stenosis in the obvious stenosis group were lower than those in the non-stenosis group and the non-obvious stenosis group, and the differences were statistically significant (both P<0.05). The net flow and maximum flow in the center region of stenosis were lower than those in the proximal region of stenosis, and the differences were statistically significant (both P<0.05). The peak velocity in the center region and distal region of stenosis was higher than those in the proximal region of stenosis, and the difference was statistically significant (both P<0.05). There was a positive correlation between the net flow and eGFR at the TRAS patients proximal, center, and distal stenosis ( r=0.270, 0.260, 0.320, respectively, P=0.044, 0.041, 0.036, respectively). There was a positive correlation between the maximum flow and eGFR at the TRAS patients proximal, center, and distal stenosis ( r=0.306, 0.276, 0.269, respectively, P=0.037, 0.041, 0.043, respectively). Conclusion:After TRAS, there is a significant change in blood flow status. The 4D Flow MRI can provide quantitative hemodynamic parameters to reflect the hemodynamic changes of TRAS.
8.Association study on abdominal aortic hemodynamic parameters based on four-dimensional flow MRI with renal function in chronic kidney disease
Qinling ZONG ; Liang PAN ; Hua ZHOU ; Zhenxing JIANG ; Jiule DING ; Nan SHEN ; Jie CHEN ; Wei XING
Chinese Journal of Radiology 2025;59(2):212-217
Objective:To explore the correlation between renal function and abdominal aortic hemodynamic parameters based on four-dimensional flow(4D Flow) MRI in patients with chronic kidney disease (CKD).Methods:A cross-section prospective study was conducted on 73 patients diagnosed with CKD at First People′s Hospital of Changzhou between March 2021 and May 2023, as well as 13 volunteers without kidney injury. According to the estimated glomerular filtration rate (eGFR), the subjects were divided into CKD 1-3 stage group ( n=34), CKD 4-5 stage group ( n=39), and control group ( n=13). All subjects underwent 4D Flow MRI examination of the abdominal aorta, measuring pulse wave velocity (PWV), peak velocity, and maximum wall shear stress (WSS) at the proximal plane (Plane_1) and the higher renal artery opening plane (Plane_2) of the abdominal aorta. The differences in 4D Flow MRI hemodynamic parameters among the three groups were compared using a one-way analysis of variance or the Kruskal-Wallis test. The correlation between 4D Flow MRI hemodynamic parameters and eGFR was analyzed by using the Spearman correlation coefficient. The independent influencing factors that affect eGFR were analyzed by using multivariate linear regression analysis. Results:There were significant differences in abdominal aortic PWV and maximal WSS of Plane_1 and Plane_2 among the three groups ( H=10.38, P=0.006; F=11.16, P<0.001; F=4.75, P=0.011). There were no significant differences in the peak velocity of Plane_1 and Plane_2 among the three groups (both P>0.05). Abdominal aortic PWV was negatively correlated with eGFR ( r s=-0.30, P=0.005). There was a positive correlation between the maximal WSS of Plane_1 and Plane_2 with eGFR ( r s=0.39, P<0.001; r s=0.29, P=0.006). Abdominal aortic PWV and maximal WSS of Plane_1 were independent influencing factors of eGFR (b=-4.32, P=0.018; b=132.23, P=0.004). Conclusions:There is an independent correlation between renal function and abdominal aortic hemodynamic parameters based on 4D Flow MRI in patients with CKD, and abdominal aortic PWV and maximal WSS of Plane_1 were independent influencing factors of eGFR.
9.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.
10.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.

Result Analysis
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