1.Umbrella decision-making model for diagnosis and treatment of elderly lung cancer patients: Construction and practice
Lunxu LIU ; Jian ZHOU ; Xiang DING ; Nan CHEN ; Jianxin XUE ; Xuelei MA ; Ye WANG ; Weiya WANG ; Liqing PENG ; Xin YOU ; Minggang SU ; Xu CHENG ; Jiao WANG ; Ning GE ; Deying KANG ; Yuchen HUANG ; Jinghan WANG ; Yu TONG ; Yaoxi ZHANG ; Jirong YUE ; Hu LIAO
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(06):833-839
With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.
2.Pain characteristics of patients with depression disorder across different self-injury/suicide risk phenotypes and their associations with the risk phenotypes
Qianxue WEI ; Yousong SU ; Jia HUANG ; Jun CHEN ; Yiru FANG
Sichuan Mental Health 2026;39(4):303-308
BackgroundSuicide and self-injury risk in patients with depression disorder is associated with pain symptoms, but the relationships between specific pain types and their severity and distinct self-injury/suicide risk phenotypes remain controversial. ObjectiveTo explore whether somatic pain can reflect different self-injury/suicide risk phenotypes, and to provide references for the clinical identification of suicide and self-injury risk in patients with depression. MethodsBased on data from the National Survey on Symptomatology of Depression (NSSD), 3 275 patients who met the diagnostic criteria for major depressive disorder in the Diagnostic and Statistical Manual of Mental Disorders, fourth edition, text revision (DSM-IV-TR) were recruited. According to previous suicidal behavior, suicidal ideation and self-injury behavior in the past two weeks, patients were divided into the no self-injury/suicide risk group, self-injury group, and high suicide-risk group. The occurrence of headache, muscle soreness, trunk pain, limb pain, and other pain symptoms was assessed using the structured symptom assessment instrument of the NSSD. With the no self-injury/suicide risk group as the reference, an ordinal Logistic regression model was used to analyze the associations between the risk groups and the occurrence frequency of pain, with demographic and clinical characteristics entered into the model as covariates for adjustment. ResultsA total of 3 211 patients (98.05%) were included in the analysis, including 1 329 cases (41.39%) in the no self-injury/suicide risk group, 415 cases (12.92%) in the self-injury group, and 1 467 cases (45.69%) in the high suicide-risk group. Compared with the no self-injury/suicide risk group, the occurrence frequencies of headache (OR=1.526, 95% CI: 1.221–1.894) and muscle soreness (OR=1.287, 95% CI: 1.034–1.597) were higher in the self-injury group, and the occurrence frequencies of headache (OR=0.583, 95% CI: 0.504–0.672), muscle soreness (OR=0.682, 95% CI: 0.597–0.780), trunk pain (OR=0.557, 95% CI: 0.475–0.634), limb pain (OR=0.454, 95% CI: 0.384–0.522), and other pain difficult to localize (OR=0.542, 95% CI: 0.472–0.631) were all lower in the high suicide-risk group. ConclusionPatients with depression disorder across different self-injury and suicide risk phenotypes exhibit distinct pain characteristics, and these differences may provide a reference for the clinical identification of suicide and self-injury risk in patients with depression disorder. [Funded by The National Key Research and Development Program of China during the "13th Five-Year Plan" period (number, 2016YFC1307100); Shanghai Key Clinical Specialties Construction Project]
3.Advances in the role of gut microbiota-drived short-chain fatty acids in autoimmune diseases in children
Zuxiong GAO ; Chuyue SU ; Zhenzheng CAO ; Rong JIAO
International Journal of Pediatrics 2025;52(7):456-460
Alterations in the gut microbiota can lead to the occurrence of autoimmune diseases and affect the immune system through various metabolic pathways,ultimately causing damage to target organs. Short-chain fatty acids(SCFAs),the common metabolic product of the gut microbiota,are closely related to the functions of multiple organs and diseases. An increasing number of studies have shown that SCFAs can regulate the immune response of the body and influence the immune process of various autoimmune diseases. However,there are relatively few domestic studies on the relationship between SCFAs and autoimmune diseases in childhood. This article aims to explore the role of SCFAs in various common autoimmune diseases in childhood and summarize the alleviation of clinical manifestations in children with various autoimmune diseases by SCFAs,providing research ideas for exploring the pathogenesis of various autoimmune diseases,and enrich the theoretical basis for conducting fecal microbiota transplantation therapy.
4.Epidemiological characteristics and clinical diagnosis of human brucellosis in Qujing City, Yunnan Province from 2008 to 2023
Fuping YANG ; Shouxian XU ; Binbin YU ; Su ZHAO ; Qing ZHANG ; Qiuju YANG ; Jiao YANG ; Xiangdong YANG
Chinese Journal of Endemiology 2025;44(4):318-322
Objective:To study the epidemiological characteristics and clinical diagnosis of human brucellosis in Qujing City, Yunnan Province.Methods:Through the Infectious Disease Reporting Information Management System of the China Disease Prevention and Control Information System, the basic information and clinical diagnostic data of brucellosis cases reported in Qujing City from January 2008 to December 2023 were retrospectively collected. Descriptive epidemiological methods were used to analyze the epidemic profile, three distribution characteristics (time, population, region), and diagnosis of brucellosis.Results:A total of 1 417 brucellosis cases were reported in Qujing City from 2008 to 2023, with no death. The annual average incidence of brucellosis was 1.49/100 000, with no cases reported in 2009 and 2010, and the highest incidence in 2023 (7.82/100 000). The incidence of brucellosis showed an increasing trend year by year (χ 2trend = 1 874.58, P < 0.001). The number of cases from June to November accounted for 61.54% (872/1 417). The majority of brucellosis cases were in the age group of 36 - 65 years old, accounting for 67.82% (961/1 417). Among them, there were 954 males and 463 females, with a gender ratio of 2.06 ∶ 1.00. Farmers were the main occupation, accounting for 84.33% (1 195/1 417). The cases were mainly distributed in Luliang County (621 cases), Xuanwei City (282 cases) and Shizong County (137 cases), accounting for 73.39% (1 040/1 417). The median interval between onset and diagnosis was 13 days, and the cases with intervals ≤7 d, 8 - 30 d, and ≥31 d accounted for 32.11% (455/1 417), 40.16% (569/1 417), and 27.73% (393/1 417), respectively. Totally 63.94% (906/1 417) of the cases were confirmed in medical institutions in Qujing City. Conclusions:The incidence of brucellosis in Qujing City is increasing year by year, with men, middle-aged and elderly people and farmers as the main population, summer and autumn as the peak period, and Luliang County, Xuanwei City and Shizong County as the high incidence areas. Most cases have an interval of less than 30 days between onset and diagnosis, and can be diagnosed within the jurisdiction.
5.Research Progress on Chemical Composition and Pharmacological Effects of Sinopodophyllum hexandrum and Predictive Analysis on Q-marker
Yan LEI ; Yuzhuo LI ; Wanying WANG ; Lu SU ; Jiao KONG ; Ding LI ; Hongyan JIA ; Chuanxin LIU
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(6):1555-1577
Sinopodophyllum hexandruma is a traditional Chinese medicine in China,which is mostly distributed in Gansu,Shaanxi,Sichuan,Qinghai,Yunnan and Xizang,etc.In recent years,with the gradual deepening of the research on the chemical composition and pharmacology-toxicology of Sinopodophyllum hexandruma,its antitumour and antiviral pharmacodynamic evaluation has increasingly become a research hotspot in the industry.Based on the chemical structure,pharmacological properties and the theoretical basis of quality markers(Q-markers),this paper presents an in-depth literature review and analysis of the chemical composition,pharmacological activities and Q-markers of Sinopodophyllum hexandruma,and systematically explores and predicts the Q-markers of Sinopodophyllum hexandruma.It is proposed that Podophyllotoxin,picropodophyllotoxin,podophyllotoxinone,quercetin,kaempferol,quercetin-3-O-β-glucoside can be used as the Q-marker of Sinopodophyllum hexandruma.In the later stage,these index components can be selected to control the whole quality of Sinopodophyllum hexandrum,and provide some data support and theoretical reference for the quality evaluation of Sinopodophyllum hexandrum.
6.Life-Course Trajectories of Body Mass Index, Insulin Resistance, and Incident Diabetes in Chinese Adults.
Zhi Yuan NING ; Jing Lan ZHANG ; Bing Bing FAN ; Yan Lin QU ; Chang SU ; Tao ZHANG
Biomedical and Environmental Sciences 2025;38(6):706-715
OBJECTIVE:
This study aimed to explore the interplay between the life-course body mass index (BMI) trajectories and insulin resistance (IR) on incident diabetes.
METHODS:
This longitudinal cohort included 2,336 participants who had BMI repeatedly measured 3-8 times between 1989 and 2009, as well as glucose and insulin measured in 2009. BMI trajectories were identified using a latent class growth mixed model. The interplay between BMI trajectories and IR on diabetes was explored using the four-way effect decomposition method. Logistic regression and mediation models were used to estimate the interaction and mediation effects, respectively.
RESULTS:
Three distinct BMI trajectory groups were identified: low-stable ( n = 1,625), medium-increasing ( n = 613), and high-increasing ( n = 98). Both interaction and mediation effects of BMI trajectories and IR on incident diabetes were significant ( P < 0.05). The proportion of incident diabetes was higher in the IR-obesity than in the insulin-sensitivity (IS) obesity group (18.9% vs. 5.8%, P < 0.001). After adjusting for covariates, the odds ratios (95% confidence intervals) of the IR, IS-obesity, and IR-obesity groups vs. the normal group were 3.22 (2.05, 5.16), 2.05 (1.00, 3.97), and 7.98 (5.19, 12.62), respectively. IR mediated 10.7% of the total effect of BMI trajectories on incident diabetes ( P < 0.001).
CONCLUSION
We found strong interactions and weak mediation effects of IR on the relationship between life-course BMI trajectories and incident diabetes. IS-obesity is associated with a lower risk of incident diabetes than IR-obesity.
Humans
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Insulin Resistance
;
Body Mass Index
;
Male
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Female
;
Middle Aged
;
China/epidemiology*
;
Adult
;
Longitudinal Studies
;
Incidence
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Diabetes Mellitus/epidemiology*
;
Aged
;
Obesity/epidemiology*
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Diabetes Mellitus, Type 2/epidemiology*
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East Asian People
7.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.
8.Epidemiological characteristics and clinical diagnosis of human brucellosis in Qujing City, Yunnan Province from 2008 to 2023
Fuping YANG ; Shouxian XU ; Binbin YU ; Su ZHAO ; Qing ZHANG ; Qiuju YANG ; Jiao YANG ; Xiangdong YANG
Chinese Journal of Endemiology 2025;44(4):318-322
Objective:To study the epidemiological characteristics and clinical diagnosis of human brucellosis in Qujing City, Yunnan Province.Methods:Through the Infectious Disease Reporting Information Management System of the China Disease Prevention and Control Information System, the basic information and clinical diagnostic data of brucellosis cases reported in Qujing City from January 2008 to December 2023 were retrospectively collected. Descriptive epidemiological methods were used to analyze the epidemic profile, three distribution characteristics (time, population, region), and diagnosis of brucellosis.Results:A total of 1 417 brucellosis cases were reported in Qujing City from 2008 to 2023, with no death. The annual average incidence of brucellosis was 1.49/100 000, with no cases reported in 2009 and 2010, and the highest incidence in 2023 (7.82/100 000). The incidence of brucellosis showed an increasing trend year by year (χ 2trend = 1 874.58, P < 0.001). The number of cases from June to November accounted for 61.54% (872/1 417). The majority of brucellosis cases were in the age group of 36 - 65 years old, accounting for 67.82% (961/1 417). Among them, there were 954 males and 463 females, with a gender ratio of 2.06 ∶ 1.00. Farmers were the main occupation, accounting for 84.33% (1 195/1 417). The cases were mainly distributed in Luliang County (621 cases), Xuanwei City (282 cases) and Shizong County (137 cases), accounting for 73.39% (1 040/1 417). The median interval between onset and diagnosis was 13 days, and the cases with intervals ≤7 d, 8 - 30 d, and ≥31 d accounted for 32.11% (455/1 417), 40.16% (569/1 417), and 27.73% (393/1 417), respectively. Totally 63.94% (906/1 417) of the cases were confirmed in medical institutions in Qujing City. Conclusions:The incidence of brucellosis in Qujing City is increasing year by year, with men, middle-aged and elderly people and farmers as the main population, summer and autumn as the peak period, and Luliang County, Xuanwei City and Shizong County as the high incidence areas. Most cases have an interval of less than 30 days between onset and diagnosis, and can be diagnosed within the jurisdiction.
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.

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