1.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
2.Application of balloon-occluded retrograde transvenous obliteration in treatment of liver cirrhosis complications
Lixia XIN ; Hongbin ZHU ; Xiao LIU ; Chunqing ZHANG
Journal of Clinical Hepatology 2026;42(2):452-456
Gastric variceal rupture and bleeding and hepatic encephalopathy are common and life-threatening complications in decompensated cirrhosis. As a minimally invasive interventional technique, balloon-occluded retrograde transvenous obliteration (BRTO) has made significant progress in the clinical management of gastric varices and hepatic encephalopathy in recent years. This article systematically reviews the technical principles, indications (e.g., isolated gastric varices and refractory hepatic encephalopathy), clinical efficacy (an acute hemostasis rate of 85% — 95%, a 1-year rebleeding rate of <15%, and an improvement rate of 60% — 80% for hepatic encephalopathy), and safety (including complications such as renal impairment and elevated portal vein pressure) of BRTO. Meanwhile, this article discusses the advantages and disadvantages of BRTO and conventional treatment modalities (e.g., transjugular intrahepatic portosystemic shunt and endoscopic treatment) and reviews the latest technological improvements in recent years, such as coil-assisted retrograde transvenous obliteration and plug-assisted retrograde transvenous obliteration. Future research should focus on the precision of patient selection (e.g., stratification based on hemodynamic parameters), the optimization of embolic materials (e.g., application of new biodegradable embolic agents), and the development of individualized treatment regimens, so as to improve efficacy and reduce the risk of complications.
3.Global Trends and Research Hotspots in Exercise Intervention for Overweight and Obesity: A Bibliometric Analysis
Yuanchun ZHU ; Yuhang ZHANG ; Mingnan SHI ; Houqiang ZHANG ; Shufen LIU ; Qing LI ; Lixia CHEN
Medical Journal of Peking Union Medical College Hospital 2026;17(4):1051-1062
To analyze global trends and research hotspots in exercise intervention for overweight and obesity from 2010 to 2024, to provide novel perspectives for comprehensive management research on overweight and obesity. Relevant literature published between January 1, 2010, and December 31, 2024, was retrieved from all sub-databases of the Web of Science Core Collection, including articles and reviews. CiteSpace 6.4.R1 was used to perform co-occurrence and burst analysis of journals, institutions, authors and keywords. VOSviewer 1.6.20 was applied to construct co-citation networks among countries/regions and references. SPSS 26.0 was utilized to analyze trends in publication volume and citation frequency. A total of 113 080 publications on exercise interventions for overweight and obesity were obtained, including 98 188 articles and 14 892 reviews. Both annual publications ( Over the past 15 years, the field of exercise intervention for overweight and obesity has received considerable academic attention. Key research hotspots focus on monitoring the incidence of overweight and obesity and the correlation between physical activity and the health outcomes of individuals with overweight and obesity. Future research directions emphasize the effect of high-intensity interval training on the cardiometabolic health of individuals with overweight and obesity, the interaction of dietary habits and physical activity, and the focus on enhance physical activity levels are the primary global trends in this research field.
4.Exploring Content and Distribution Patterns of 22 Ginsenosides in Stems and Leaves of Panax ginseng with Different Stem Colors by UHPLC-QqQ-MS
Tianxin ZHANG ; Yang YANG ; Jiabing ZHANG ; Lixia WANG ; Xiaoxu CHEN ; Xiaoyu ZHU ; Dade YU ; Hongwei WU ; Zhuju WANG ; Kaiyang LIU ; Liying TANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(21):198-209
ObjectiveTo systematically elucidate the accumulation characteristics of secondary metabolites in the stems and leaves of Panax ginseng with different stem colors. MethodsUltra-high-performance liquid chromatography-triple quadrupole-tandem mass spectrometry (UHPLC-QqQ-MS) was employed to determine the of 22 ginsenosides in the stems and leaves of 2- to 5-year-old P. ginseng plants with green and purple stems. Principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA), and one-way analysis of variance (ANOVA) were performed to explore the distribution patterns of ginsenosides from three dimensions: tissue distribution, growth duration, and stem color. Results① Tissue distribution: Leaves served as the primary organ for ginsenoside accumulation, exhibiting significantly higher total ginsenoside content than stems, which indicated distinct tissue-specific distribution of ginsenosides. ② Growth duration: Ginsenoside levels in stems generally peaked in the 2-year-old plants before stabilizing, while those in leaves displayed a declining-rebounding pattern, indicating that the 2-year-old plants (harvest stage) was a critical time point for the resurgence of leaf ginsenosides. ③ Stem color: A stage-specific correlation was observed between stem color and ginsenoside accumulation. In stems, the early-growth stage (2-year-old) of purple-stemmed plants exhibited higher content of specific ginsenosides (e.g., ginsenoside Rk1 and notoginsenoside R1), which may be associated with its stronger early-stage stress resistance. In leaves, the content of core ginsenosides (e.g., ginsenosides Re and Rd) in 5-year-old plants with green stems showed a surpassing trend, demonstrating higher potential of resource development. ConclusionThe accumulation of ginsenosides in P. ginseng stems and leaves is multidimensionally regulated by tissue type, growth duration, and stem color phenotypes. Purple-stemmed plants exhibit early-stage specific ginsenoside accumulation and stress resistance potential, whereas green-stemmed plants are more advantageous for core leaf ginsenoside development at the harvest stage. The findings confirm that aboveground stem color can serve as a biomarker for directed breeding and efficient resource utilization of P. ginseng.
5.Exploring Content and Distribution Patterns of 22 Ginsenosides in Stems and Leaves of Panax ginseng with Different Stem Colors by UHPLC-QqQ-MS
Tianxin ZHANG ; Yang YANG ; Jiabing ZHANG ; Lixia WANG ; Xiaoxu CHEN ; Xiaoyu ZHU ; Dade YU ; Hongwei WU ; Zhuju WANG ; Kaiyang LIU ; Liying TANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(21):198-209
ObjectiveTo systematically elucidate the accumulation characteristics of secondary metabolites in the stems and leaves of Panax ginseng with different stem colors. MethodsUltra-high-performance liquid chromatography-triple quadrupole-tandem mass spectrometry (UHPLC-QqQ-MS) was employed to determine the of 22 ginsenosides in the stems and leaves of 2- to 5-year-old P. ginseng plants with green and purple stems. Principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA), and one-way analysis of variance (ANOVA) were performed to explore the distribution patterns of ginsenosides from three dimensions: tissue distribution, growth duration, and stem color. Results① Tissue distribution: Leaves served as the primary organ for ginsenoside accumulation, exhibiting significantly higher total ginsenoside content than stems, which indicated distinct tissue-specific distribution of ginsenosides. ② Growth duration: Ginsenoside levels in stems generally peaked in the 2-year-old plants before stabilizing, while those in leaves displayed a declining-rebounding pattern, indicating that the 2-year-old plants (harvest stage) was a critical time point for the resurgence of leaf ginsenosides. ③ Stem color: A stage-specific correlation was observed between stem color and ginsenoside accumulation. In stems, the early-growth stage (2-year-old) of purple-stemmed plants exhibited higher content of specific ginsenosides (e.g., ginsenoside Rk1 and notoginsenoside R1), which may be associated with its stronger early-stage stress resistance. In leaves, the content of core ginsenosides (e.g., ginsenosides Re and Rd) in 5-year-old plants with green stems showed a surpassing trend, demonstrating higher potential of resource development. ConclusionThe accumulation of ginsenosides in P. ginseng stems and leaves is multidimensionally regulated by tissue type, growth duration, and stem color phenotypes. Purple-stemmed plants exhibit early-stage specific ginsenoside accumulation and stress resistance potential, whereas green-stemmed plants are more advantageous for core leaf ginsenoside development at the harvest stage. The findings confirm that aboveground stem color can serve as a biomarker for directed breeding and efficient resource utilization of P. ginseng.
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.Phenotypic characteristics of early lymphocyte subsets and bronchoscopy findings in children with severe Mycoplasma pneumoniae pneumonia
Pao YU ; Feng ZHU ; Zheng GE ; Bi ZHOU ; Lixia ZHANG
The Journal of Practical Medicine 2025;41(7):1062-1069
Objective To investigate the value of the absolute number of lymphocyte subpopulations as an early warning indicator for children with SMPP(severe mycoplasma pneumonia,SMPP)and to analyze the character-istics observed via bronchoscopy,thereby providing a valuable reference for the early diagnosis of SMPP.Methods This study included 102 children with Mycoplasma pneumoniae pneumonia(MPP),comprising 54 cases of common MPP and 48 cases of SMPP.The lymphocyte subpopulations,clinical characteristics,and laboratory indicators were analyzed.Results There were statistically significant differences between the two groups in the absolute number levels of lymphocyte subpopulations CD3+CD19-T,CD4+T,CD3-CD19+B,CD3-/CD16+CD56+NK cells(P<0.05).The absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells showed negative correlations with serum ferritin,LDH,CRP,and D-D,respectively(P<0.05).Multifactorial logistic regression analysis identified the absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells as independent risk factors for severe Mycoplasma pneumoniae pneumonia(SMPP).ROC analysis demonstrated that the areas under the curve for diagnosing SMPP based on the absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells were 0.711,0.887,0.856,and 0.860,respectively,with sensitivities of 47.4%,80.8%,82.1%,and 92.3%,and specificities of 89.7%,87.2%,75%,and 70.5%,respectively.The combined ROC curve of the four lymphocyte subsets had an area of 0.983,with a sensitivity of 97.4%and specificity of 92.3%.The proportions of bronchoscopy findings and microscopic examination of mucus plugs in the SMPP group were significantly higher than those in the ordinary MPP group(P<0.05).In the mucoid plug subgroup,the absolute numbers of CD3?CD19?T cells and CD4?T cells were significantly lower compared to the non-mucoid plug subgroup,while the percentage of CD8?T cells increased and the CD4?/CD8? ratio decreased(all P<0.05).Conclusions The absolute number of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells in peripheral blood serves as a highly sensitive and specific predictor of small airway mucus plugging phenomenon(SMPP)and can thus be utilized as a potential biomarker for SMPP.Microscopic analysis under SMPP conditions reveals a high prevalence of mucus plugs,necessitating proactive bronchoscopic intervention.Furthermore,the significant imbalance in T cell subpopulations is strongly correlated with the formation of mucus plugs observed during bronchoscopy.
9.New insights and research directions of tomographic imaging technology in the diagnosis and treatment of lens trauma
Wen XU ; Geng WANG ; Yong WANG ; Xuemin LI ; Guangbin ZHANG ; Xiangjia ZHU ; Haiying JIN ; Lixia LUO ; Wei FAN ; Yune ZHAO ; Jiangyue ZHAO ; Ayong YU ; Haike GUO ; Yongzhen BAO ; Yongxiang JIANG ; Ce SHI
Chinese Journal of Experimental Ophthalmology 2025;43(3):204-210
Lens injury is an important etiological factor in the reduction of visual function following ocular trauma.Currently, there are no clear standards for the classification of lens injury, and comprehensive diagnostic tools are lacking.This deficiency leads to numerous controversies and challenges in critical areas, such as diagnosis and preoperative evalution, timing of surgery, surgical strategy, and assessment of postoperative prognosis.Tomographic imaging technology, such as computed tomography, magnetic resonance imaging, optical coherence tomography, has introduced a new dimension to the evaluation of lens injury, which is crucial for assessing the transparency, texture, location, morphology, and integrity of the lens, as well as the zonules and nearby intraocular structures.However, the use of tomographic imaging technology is somewhat limited due to the limitations of relying on a single method.With the ongoing advancement of imaging technologies and the rapid development of big data and artificial intelligence, tomographic imaging will become an increasingly essential tool in the future management of lens injury.Our expert group reviewed the epidemiological characteristics and classification of lens injury and the major challenges currently faced in the diagnosis and treatment of lens injury, and provided expert recommendations mainly focusing on the application, shortcomings and limitations of current tomographic imaging technology in the diagnosis and treatment of lens injury, and future development directions.
10.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

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