1.Pre-operative risk assessment of hepatocellular carcinoma recurrence in liver transplant recipients by non-invasive detection of pre-existing genetic lesions
Suqin YANG ; Sunbin LING ; Jianhua LI ; Yan WANG ; Jiapei WANG ; Qiwei HUANG ; Fanming LIU ; Yiqi ZHUANG ; Yingyu ZHENG ; Rui WANG ; Zhe YANG ; Xiaoping ZHENG ; Kai WANG ; Zhikun LIU ; Jun CHEN ; Jianguo WANG ; Haiyang XIE ; Lin ZHOU ; Leiming CHEN ; Guoqiang CAO ; Dandan CHEN ; Junfang JI ; Bin ZHAO ; Chao JIANG ; Di LU ; Xuyong WEI ; Hangjin JIANG ; Qiaonan SHAN ; Hengbo SHI ; Yong-Zhen XU ; Shusen ZHENG ; Zhengxin WANG ; Shengda LIN ; Xiao XU
Clinical and Molecular Hepatology 2026;32(2):884-903
Background/Aims:
Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy.
Methods:
We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues.
Results:
We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts.
Conclusion
Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.
2.Clinical efficacy and prognostic factors of neoadjuvant chemotherapy and radical resection on adenocarcinoma of esophagogastric junction and gastric adenocarcinoma
Jingkang ZHANG ; Shuangxi LI ; Hongmei DAI ; Zhouqiao WU ; Fei SHAN ; Jiafu JI ; Ziyu LI
Chinese Journal of Digestive Surgery 2025;24(3):357-366
Objective:To investigate the clinical efficacy and prognostic factors of neoadju-vant chemotherapy (NACT) and radical resection on adenocarcinoma of esophagogastric junction (AEG) and gastric adenocarcinoma (GC).Methods:The propensity score matching and retrospec-tive cohort study was conducted. The clinicopathological data of 263 patients with AEG and GC who were admitted to Peking University Cancer Hospital from March 2017 to March 2022 were collected. There were 204 males and 59 females, aged (60±10)years. Of the 263 patients, 81 cases with AEG were set as the AEG group, and 182 cases with GC were set as the GC group. Observation indicators: (1) propensity score matching and comparison of clinicopathological characteristics of patients between the two groups after matching; (2) evaluation of the efficacy of NACT and pathological conditions; (3) intraoperative and postoperative conditions; (4) follow-up; (5) analysis of factors affecting prognosis of patients. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney rank sum test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the nonparametric rank sum test. The Cox proportional hazard model was used for univariate and multivariate analyses. The Kaplan-Meier method was used to calculate survival rate and draw survival curve. The Log-rank test was used for survival analysis. Propensity score matching was done by the 1:1 nearest neighbor matching method with a caliper value of 0.02. Results:(1) Propensity score matching and comparison of clinicopathological charac-teristics of patients between the two groups after matching. Of 263 patients, 156 cases were succe-ssfully matched, including 78 cases in the AEG group and 78 cases in the GC group. After propensity score matching, the elimination of age and degree of tumor differentiation confounding bias ensured comparability between the two groups. (2) Evaluation of the efficacy of NACT and pathological condi-tions. After propensity score matching, cases with pathological complete response were 2 in the AEG group, versus 9 in the GC group, showing a significant difference between the two groups ( χ2=4.793, P<0.05). (3) Intraoperative and postoperative conditions. After propensity score matching, the operation time of AEG group was 225(200,283)minutes. The resection range (whole stomach, distal stomach, proximal stomach) were 68, 0, 10, respectively. The digestive tract reconstruction methods (Roux-en-Y, Billroth Ⅰ/Ⅱ/Uncut Roux-en-Y, esophageal residual gastric, double channel) were 68, 0, 5, 5, respectively. Duration of postoperative hospital stay was 12(10,16)days. Total hospi-talization expense was (114 400±4 828)yuan. The above indicators of the GC group were 200(174,234)minutes, 22, 55, 1, 21, 56, 0, 1, 10(9,11)days, (98 790±2 549)yuan, respectively. There were significant differences in the above indicators between the two groups ( Z=-3.813, χ2=85.875, 88.487, Z=-4.060, t=2.524, P<0.05). Cases of complication and cases of serious complication were 32 and 9 in the AEG group, versus 22 and 5 in the GC group, showing no significant difference between the two groups ( χ2=2.832, 1.256, P>0.05). (4) Follow-up. All 156 patients after propensity score matching were followed up after surgery, with a follow-up time of 51(range, 3-84)months. Number of death in the AEG group and GC group were 26 and 25 during the follow-up. The postoperative 3-, 5-year overall survival rate were 70.4%, 58.3% in patients of the AEG group, versus 75.7%, 62.6% in patients of the GC group, showing no significant difference in overall survival between the two groups ( χ2=0.141, P>0.05). (5) Analysis of factors affecting prognosis of patients. Results of multivariate analysis showed that NACT, average tumor diameter after NACT, vascular tumor emboli were independent factors affecting prognosis of patients with AEG and GC after NACT and radical resection before propensity score matching ( hazard ratio=1.864, 1.807, 4.551, 95% confidence interval as 1.137-3.056, 1.124-2.903, 2.709-7.645, P<0.05). Conclusions:Compared with patients of GC, patients of AEG have a lower proportion of pathological complete response after NACT, but there is no signifi-cant difference in the incidence of complication and survival of patients with AEG and GC after NACT and radical resection. NACT, average tumor diameter after NACT, vascular tumor emboli are indepen-dent factors affecting prognosis of patients with AEG and GC after NACT and radical resection.
3.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.
4.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.
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.Theme identification and evolution analysis of compensation mechanism reform policy in public hospitals since the new healthcare reform
Zhi-yuan LI ; Hui-bin JI ; Shan LI ; Hua-zhang WU
Chinese Journal of Health Policy 2025;18(7):9-17
Objective:To analyze the thematic distribution characteristics and evolution trends of the compensation mechanism reform policies for public hospitals in China since the new healthcare reform,and to provide references for correctly understanding the basic connotation and extension of the reform of compensation mechanism.Methods:A total of 75 documents issued at the national level were collected.The BERTopic topic model was used for thematic identification.The dynamic topic modeling method of BERTopic was adopted to conduct policy evolution analysis.Result:Since the new medical reform,the reform policy of compensation mechanism in public hospitals can be divided into eight themes,such as strengthening the operation management of public hospitals and adjusting the price of medical services.It shows an evolutionary trend of emphasizing the control of excessive growth of medical expenses and the implementation of government investment responsibilities in the early stage,focusing on the elimination of drug additions and the adjustment of medical service prices in the middle stage,and strengthening the reform of medical insurance payment methods in the later stage.Conclusions:The reform of the compensation mechanism for public hospitals is essentially a systematic reconstruction of the operation mechanism of public hospitals.Adjusting and optimizing medical service prices and reforming the medical insurance payment method are the key and focus of improving the compensation mechanism for public hospitals.
8.Economic evaluations of postoperative complications after colorectal cancer surgery
Tianxiao WEI ; Tingfei GU ; Zhouqiao WU ; Fei SHAN ; Ziyu LI ; Jiafu JI
Chinese Journal of Gastrointestinal Surgery 2025;28(1):41-47
Objective:This study aims to analyze the economic impact of postoperative complications after colorectal cancer surgery.Methods:A retrospective cohort study was conducted. Patients with a preoperative pathological diagnosis of colorectal cancer who met surgical indications and underwent surgical treatment were included, while those with incomplete hospitalization cost data were excluded. From March 2017 to March 2022, three hundred and ninety-two colorectal cancer patients treated at Peking University Cancer Hospital and Institute Gastrointestinal Cancer Center I, were enrolled. Descriptive statistics were performed on the incidence of complications, hospitalization costs, and postoperative length of stay. A cohort was established based on the presence of postoperative complications (POC) and absence of postoperative complications (non-POC) to study economic differences. Propensity score matching analysis was employed to reduce potential confounding factors.Results:Among 392 colorectal cancer patients, 90 (23.0%) developed POC (POC group), while 302 were in the non-POC group. Significant statistical differences were found between the two groups in terms of operation duration, extent of resection, and stoma creation (all P < 0.05); other baseline indicators showed no significant differences (all P>0.05). The median hospitalization cost for patients with postoperative anastomotic leakage was 115 973 yuan, an increase of 38 941 yuan (50.5%) over the non-POC group's 77 059 yuan; the median hospitalization cost for patients with mechanical obstruction was 111 477 yuan, an increase of 34 418 yuan (44.7%) over the non-POC group; and the median hospitalization cost for patients with wound infection was 95 860 yuan, an increase of 18 801 yuan (24.4%) over the non-POC group. The median postoperative length of stay for patients with anastomotic leakage, mechanical obstruction, and wound infection was 22.0 days, 22.0 days, and 18.5 days, respectively, compared to 9.0 days in the non-POC group, extending by 13.0 days, 13.0 days, and 9.5 days. After propensity score matching, each group had 68 patients, and there were no statistically significant differences in preoperative and intraoperative observations between the two groups (all P>0.05); compared to the non-POC group, the hospitali- zation costs in the POC group significantly increased (89 165 yuan vs. 75 437 yuan, P<0.001), and the postoperative length of stay also significantly extended (14.0 days vs. 8.0 days, P<0.001). Conclusions:The occurrence of POC after colorectal cancer surgery significantly increases hospitalization costs and length of stay. This study provides specific and accurate reference data for subsequent health economic decision-making. This is the first detailed economic impact analysis of postoperative complications of colorectal cancer with a large sample size, which includes an economic impact analysis for each POC and subgroup.
9.Clinical efficacy and prognostic factors of neoadjuvant chemotherapy and radical resection on adenocarcinoma of esophagogastric junction and gastric adenocarcinoma
Jingkang ZHANG ; Shuangxi LI ; Hongmei DAI ; Zhouqiao WU ; Fei SHAN ; Jiafu JI ; Ziyu LI
Chinese Journal of Digestive Surgery 2025;24(3):357-366
Objective:To investigate the clinical efficacy and prognostic factors of neoadju-vant chemotherapy (NACT) and radical resection on adenocarcinoma of esophagogastric junction (AEG) and gastric adenocarcinoma (GC).Methods:The propensity score matching and retrospec-tive cohort study was conducted. The clinicopathological data of 263 patients with AEG and GC who were admitted to Peking University Cancer Hospital from March 2017 to March 2022 were collected. There were 204 males and 59 females, aged (60±10)years. Of the 263 patients, 81 cases with AEG were set as the AEG group, and 182 cases with GC were set as the GC group. Observation indicators: (1) propensity score matching and comparison of clinicopathological characteristics of patients between the two groups after matching; (2) evaluation of the efficacy of NACT and pathological conditions; (3) intraoperative and postoperative conditions; (4) follow-up; (5) analysis of factors affecting prognosis of patients. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney rank sum test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the nonparametric rank sum test. The Cox proportional hazard model was used for univariate and multivariate analyses. The Kaplan-Meier method was used to calculate survival rate and draw survival curve. The Log-rank test was used for survival analysis. Propensity score matching was done by the 1:1 nearest neighbor matching method with a caliper value of 0.02. Results:(1) Propensity score matching and comparison of clinicopathological charac-teristics of patients between the two groups after matching. Of 263 patients, 156 cases were succe-ssfully matched, including 78 cases in the AEG group and 78 cases in the GC group. After propensity score matching, the elimination of age and degree of tumor differentiation confounding bias ensured comparability between the two groups. (2) Evaluation of the efficacy of NACT and pathological condi-tions. After propensity score matching, cases with pathological complete response were 2 in the AEG group, versus 9 in the GC group, showing a significant difference between the two groups ( χ2=4.793, P<0.05). (3) Intraoperative and postoperative conditions. After propensity score matching, the operation time of AEG group was 225(200,283)minutes. The resection range (whole stomach, distal stomach, proximal stomach) were 68, 0, 10, respectively. The digestive tract reconstruction methods (Roux-en-Y, Billroth Ⅰ/Ⅱ/Uncut Roux-en-Y, esophageal residual gastric, double channel) were 68, 0, 5, 5, respectively. Duration of postoperative hospital stay was 12(10,16)days. Total hospi-talization expense was (114 400±4 828)yuan. The above indicators of the GC group were 200(174,234)minutes, 22, 55, 1, 21, 56, 0, 1, 10(9,11)days, (98 790±2 549)yuan, respectively. There were significant differences in the above indicators between the two groups ( Z=-3.813, χ2=85.875, 88.487, Z=-4.060, t=2.524, P<0.05). Cases of complication and cases of serious complication were 32 and 9 in the AEG group, versus 22 and 5 in the GC group, showing no significant difference between the two groups ( χ2=2.832, 1.256, P>0.05). (4) Follow-up. All 156 patients after propensity score matching were followed up after surgery, with a follow-up time of 51(range, 3-84)months. Number of death in the AEG group and GC group were 26 and 25 during the follow-up. The postoperative 3-, 5-year overall survival rate were 70.4%, 58.3% in patients of the AEG group, versus 75.7%, 62.6% in patients of the GC group, showing no significant difference in overall survival between the two groups ( χ2=0.141, P>0.05). (5) Analysis of factors affecting prognosis of patients. Results of multivariate analysis showed that NACT, average tumor diameter after NACT, vascular tumor emboli were independent factors affecting prognosis of patients with AEG and GC after NACT and radical resection before propensity score matching ( hazard ratio=1.864, 1.807, 4.551, 95% confidence interval as 1.137-3.056, 1.124-2.903, 2.709-7.645, P<0.05). Conclusions:Compared with patients of GC, patients of AEG have a lower proportion of pathological complete response after NACT, but there is no signifi-cant difference in the incidence of complication and survival of patients with AEG and GC after NACT and radical resection. NACT, average tumor diameter after NACT, vascular tumor emboli are indepen-dent factors affecting prognosis of patients with AEG and GC after NACT and radical resection.
10.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.

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