1.Historical Evolution and Key Information Research on Classic Formula Puji Xiaoduyin
Lianchao ZHU ; Lyuyuan LIANG ; Jing TANG ; Jialei CAO ; Ziming XU ; Huizhen ZHANG ; Zhidan GUO ; Rongze MA ; Zhengshao ZHANG ; Bingqi WEI ; Xiubo DU ; Bingxiang MA
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):238-247
Puji Xiaoduyin, a specialized formula for the swollen-head epidemic, was recorded in the Catalogue of Ancient Classical Formula (the Second Batch)-Han Medicine, published in September 2023. It had been inherited and developed by medical experts of successive generations and passed down to this day. This paper sorted out the historical evolution of this formula using bibliometric methods. It also comprehensively analyzed key information on the formula name, historical origin, drug dosage, herb origin, processing methods, decocting methods, function, and clinical applications. Additionally, this paper analyzed the application of this formula in both modern and ancient times. Results showed that the formula was first recorded as "Puji Xiaodu Yinzi" in LI Dongyuan's Proven Formulas written by LI Gao from the Jin dynasty. The medicinal composition and dosage were: Scutellariae Radix and Coptidis Rhizoma (20.65 g each), Ginseng Radix et Rhizoma 12.39 g, Scrophulariae Radix, Citri Reticulatae Pericarpium, and Glycyrrhizae Radix et Rhizoma (8.26 g each), Forsythiae Fructus, Arctii Fructus, Isatidis Radix, and Lasiosphaera Calvatia (4.13 g each), Bombyx Batryticatus and Cimicifugae Rhizoma (2.891 g each), Bupleuri Radix and Platycodonis Radix (8.26 g each). These medicines were grounded to fine powder. One dose, including 20.65 g of the powder, was mixed with 600 mL of water and decocted to 300 mL. After abandoning slag, the medicine should be taken warm frequently. In the formula, Bombyx Batryticatus is stir-fired. With the effect of dispersing wind and clearing heat, removing stagnation and dissipating mass, the formula is specialized in swollen-head epidemic, pestilence, red and swelling head, face, and neck, dry mouth and tongue, as well as other diseases resulting from toxic heat stagnated in the upper jiao. The formula is widely used in treating diseases involving the respiratory, dermal, ophthalmologic, otolaryngologic, and nervous systems. The formula is most frequently used for respiratory diseases, with a wide range of symptoms including parotitis/mumps (66 times), followed by tonsillitis (28 times). In conclusion, the broadly applied formula has accurate efficacy and great development value.
2.Historical Evolution and Key Information Research on Classic Formula Puji Xiaoduyin
Lianchao ZHU ; Lyuyuan LIANG ; Jing TANG ; Jialei CAO ; Ziming XU ; Huizhen ZHANG ; Zhidan GUO ; Rongze MA ; Zhengshao ZHANG ; Bingqi WEI ; Xiubo DU ; Bingxiang MA
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):238-247
Puji Xiaoduyin, a specialized formula for the swollen-head epidemic, was recorded in the Catalogue of Ancient Classical Formula (the Second Batch)-Han Medicine, published in September 2023. It had been inherited and developed by medical experts of successive generations and passed down to this day. This paper sorted out the historical evolution of this formula using bibliometric methods. It also comprehensively analyzed key information on the formula name, historical origin, drug dosage, herb origin, processing methods, decocting methods, function, and clinical applications. Additionally, this paper analyzed the application of this formula in both modern and ancient times. Results showed that the formula was first recorded as "Puji Xiaodu Yinzi" in LI Dongyuan's Proven Formulas written by LI Gao from the Jin dynasty. The medicinal composition and dosage were: Scutellariae Radix and Coptidis Rhizoma (20.65 g each), Ginseng Radix et Rhizoma 12.39 g, Scrophulariae Radix, Citri Reticulatae Pericarpium, and Glycyrrhizae Radix et Rhizoma (8.26 g each), Forsythiae Fructus, Arctii Fructus, Isatidis Radix, and Lasiosphaera Calvatia (4.13 g each), Bombyx Batryticatus and Cimicifugae Rhizoma (2.891 g each), Bupleuri Radix and Platycodonis Radix (8.26 g each). These medicines were grounded to fine powder. One dose, including 20.65 g of the powder, was mixed with 600 mL of water and decocted to 300 mL. After abandoning slag, the medicine should be taken warm frequently. In the formula, Bombyx Batryticatus is stir-fired. With the effect of dispersing wind and clearing heat, removing stagnation and dissipating mass, the formula is specialized in swollen-head epidemic, pestilence, red and swelling head, face, and neck, dry mouth and tongue, as well as other diseases resulting from toxic heat stagnated in the upper jiao. The formula is widely used in treating diseases involving the respiratory, dermal, ophthalmologic, otolaryngologic, and nervous systems. The formula is most frequently used for respiratory diseases, with a wide range of symptoms including parotitis/mumps (66 times), followed by tonsillitis (28 times). In conclusion, the broadly applied formula has accurate efficacy and great development value.
3.Syndrome Differentiation and Treatment of Atrial Fibrillation based on the Holistic View of "Spleen-Vessels-Heart-Spirit"
Yihang DU ; Chenglin DUAN ; Xueping ZHU ; Meng LYU ; Jiafan CHEN ; Yi WEI ; Yuanhui HU
Journal of Traditional Chinese Medicine 2025;66(1):89-92
Based on the holistic view of "spleen-vessels-heart-spirit" system, this article explores the pathogenesis and progression of atrial fibrillation. It is proposed that the onset of atrial fibrillation is due to failure of the spleen to transport and disharmony of blood vessels; phlegm and blood stasis obstructing the collaterals and damage to the heart structure are the basis of its pathogenesis; the unclear mind and disorder of body and spirit are the causes of its progression. Based on the characteristics of pathological changes in different stages of the disease, it is proposed that early treatment should focus on restoring the middle jiao, clearing and promoting blood vessels, using modified Yigong Powder (异功散); during the progression of the disease, treatment should remove blood stasis and phlegm, nourish heart and protect the pulse, using self-prescribed modified Mengshi Tongmai Decoction (礞石通脉汤); meanwhile, calming mind and stabilizing palpitations, and regulating spirit should be sequentially incorporated, with self-prescribed Jiazao Ningmai Decoction (甲枣宁脉汤) or Shenying Dingji Decoction (参英定悸汤) and modified as appropriate. Clinical treatment should focus on the whole disease course of atrial fibrillation, implementing stage-based treatments to enable early intervention and holistic regulation.
4.Prediction of Early Recurrence After Thermal Ablation for Hepatocellular Carcinoma Using Contrast-Enhanced CT and Habitat Analysis
Yanfen ZHAO ; Zhu LIU ; Xiaoqin WEI ; Yong DU
Chinese Journal of Medical Imaging 2025;33(9):929-935,947
Purpose To develop a nomogram based on contrast-enhanced CT and habitat analysis for predicting early recurrence after thermal ablation in hepatocellular carcinoma,enabling risk stratification and personalized patient management.Materials and Methods This retrospective study included 107 patients with hepatocellular carcinoma treated with thermal ablation from Affiliated Hospital of North Sichuan Medical College and Nanchong Central Hospital from January 2016 to March 2022.Tumor lesions were manually segmented on preoperative contrast-enhanced CT images.Habitat encoding was performed on volumes of interest using K-means clustering.Radiomic features were extracted from each phase and habitat subregion.Machine learning algorithms were used to construct phase-specific models,with performance compared to select the optimal model.A combined model integrating optimal radiomic features and independent clinical risk factors was developed and evaluated.Results The Adaboost algorithm yielded the optimal model for the arterial phase,Naive Bayes for the venous phase,and MLP for the combined arterial-venous phase.The combined model demonstrated superior performance,achieving concordance indices of 0.711(training cohort)and 0.709(validation cohort)for predicting early recurrence.Significant differences in recurrence-free survival were observed between high-risk group and low-risk group(log-rank P<0.05).Conclusion Habitat imaging derived from contrast-enhanced CT effectively and noninvasively assesses recurrence-free survival after thermal ablation for hepatocellular carcinoma,demonstrating potential for guiding clinical treatment and decision-making.
5.Clinical manifestation and factors affecting mixed infection in 114 patients with Mycoplasma pneumoniae pneumonia
Shaofu DU ; Wei WANG ; Ru WANG ; Hui WANG ; Ligui WANG ; Binghua ZHU ; Zhongdan ZHANG
Chinese Journal of Nosocomiology 2025;35(16):2445-2449
OBJECTIVE To understand the clinical characteristics of patients with Mycoplasma pneumoniae(MP)infection,and to explore the related factors of mixed infection,to provide theoretical support for the diag-nosis and treatment of MP infection.METHODS The clinical data of patients diagnosed with MP infection in the 305th hospital of PLA from Dec.2023 to Apr.2024 were collected,and the clinical characteristics of patients in-fected with MP were analyzed.Additionally,the impacts of MP mixed infections with other pathogens on the se-verity of the disease were compared,while the relevant influencing factors of MP mixed with other pathogens were analyzed by the logistic regression model.RESULTS A total of 114 patients with MP infection were collected,both genders had 57 cases(50.00%,respectively),60(52.63%)were adults,73(64.04%)had simple MP infection and 41(35.96%)had mixed infection.The clinical manifestations of MP infection primarily included fever and cough,with most fevers being low to medium intensity.Additionally,the biochemical indexes were predominantly within normal ranges,however,the interleukin 6(IL-6)level was relatively high.The abnormalities of chest X-ray examination accounted for 84.21%of the cases.In mixed infection cases,fever,dizziness,fatigue,headache and muscle pain were more prevalent than single MP infection cases(P<0.05),and CRP level elevated in the mixed infection group(P=0.001),whereas white blood cell level and lymphocyte count decreased compared to the single MP infection group(P<0.05).Multivariate logistic regression analysis showed that fever(OR=4.112,95%CI:1.046-16.161)and above 46 years old(OR=8.555,95%CI:1.394-52.493)were the rele-vant influencing factors for MP mixed with other pathogens infection.CONCLUSION Clinical features of MP-infected patients are atypical,but IL-6 levels are relatively high.MP is often mixed with viral infections,and fever and above 46 years old are the risk factors for mixed MP infection.
6.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.
7.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.
8.Prediction of Early Recurrence After Thermal Ablation for Hepatocellular Carcinoma Using Contrast-Enhanced CT and Habitat Analysis
Yanfen ZHAO ; Zhu LIU ; Xiaoqin WEI ; Yong DU
Chinese Journal of Medical Imaging 2025;33(9):929-935,947
Purpose To develop a nomogram based on contrast-enhanced CT and habitat analysis for predicting early recurrence after thermal ablation in hepatocellular carcinoma,enabling risk stratification and personalized patient management.Materials and Methods This retrospective study included 107 patients with hepatocellular carcinoma treated with thermal ablation from Affiliated Hospital of North Sichuan Medical College and Nanchong Central Hospital from January 2016 to March 2022.Tumor lesions were manually segmented on preoperative contrast-enhanced CT images.Habitat encoding was performed on volumes of interest using K-means clustering.Radiomic features were extracted from each phase and habitat subregion.Machine learning algorithms were used to construct phase-specific models,with performance compared to select the optimal model.A combined model integrating optimal radiomic features and independent clinical risk factors was developed and evaluated.Results The Adaboost algorithm yielded the optimal model for the arterial phase,Naive Bayes for the venous phase,and MLP for the combined arterial-venous phase.The combined model demonstrated superior performance,achieving concordance indices of 0.711(training cohort)and 0.709(validation cohort)for predicting early recurrence.Significant differences in recurrence-free survival were observed between high-risk group and low-risk group(log-rank P<0.05).Conclusion Habitat imaging derived from contrast-enhanced CT effectively and noninvasively assesses recurrence-free survival after thermal ablation for hepatocellular carcinoma,demonstrating potential for guiding clinical treatment and decision-making.
9.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.
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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