1.Effect of Qingfei Shenshi Decoction (清肺渗湿汤) Combined with Western Medicine on Clinical Effectiveness and Immune Function for Patients with Bronchial Asthma of Heat Wheezing Syndrome
Ying SUN ; Haibo HU ; Na LIU ; Fengchan WANG ; Jinbao ZONG ; Ping HAN ; Peng LI ; Guojing ZHAO ; Haoran WANG ; Xuechao LU
Journal of Traditional Chinese Medicine 2026;67(1):38-44
ObjectiveTo observe the clinical effectiveness and safety of Qingfei Shenshi Decoction (清肺渗湿汤) combined with western medicine for patients with bronchial asthma of heat wheezing syndrome, and to explore its potential mechanism of action. MethodsEighty-six participants with bronchial asthma of heat wheezing syndrome were randomly divided into treatment group and control group, each group with 43 participants. The control group received conventional western medicine, and the treatment group was additionally administered Qingfei Shenshi Decoction orally on the basis of the control group, 1 dose per day. Both groups were treated for 14 days. The primary outcome measure was clinical effectiveness; secondary outcome measures included traditional Chinese medicine (TCM) syndrome score, asthma control test (ACT) score, pulmonary function indices such as forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), peak expiratory flow (PEF), serum inflammatory factor levels including interleukin-4 (IL-4), tumour necrosis factor-α (TNF-α), and high-sensitivity C-reactive protein (hs-CRP), and immune function indices including CD3+, CD4+, CD8+, CD4+/CD8+. All outcome measures were evaluated before and after treatment. Vital signs were monitored, and electrocardiography, blood routine, urine routine, liver function, and renal function tests were performed before and after treatment. Adverse events and reactions during the study were recorded. ResultsA total of 80 patients completed the trial with 40 in each group. The total clinical effective rate of the treatment group was 97.5% (39/40), which was significantly higher than that of the control group (85.0%, 34/40, P<0.05). After treatment, both groups showed decreased TCM syndrome scores, IL-4, TNF-α, hs-CRP, and CD8+ levels, as well as increased ACT scores, CD3+, CD4+, CD4+/CD8+, FEV1, FVC, and PEF levels (P<0.05 or P<0.01). Moreover, the improvements in these indices were more significant in the treatment group than in the control group (P<0.05 or P<0.01). No significant abnormalities in safety indicators were observed in either group, and no adverse events or reactions occurred. ConclusionQingfei Shenshi Decoction combined with conventional western medicine for patients with bronchial asthma of heat wheezing syndrome can effectively improve the clinical symptoms, pulmonary function, and clinical effectiveness, with good safety. Its mechanism may be related to reducing inflammatory factor levels and regulating T lymphocyte subsets to improve immune function.
2.Quality Evaluation of Gegen Qinlian Tablets Based on HPLC Multi-component Quantification Combined with Chemical Pattern Recognition and TOPSIS Analysis
Ping QIN ; Yingying LU ; Wenming ZHANG ; Zifang FENG ; Lihong GU ; Chenjie XIA ; Minmin HU ; Xiaowei CHEN ; Zhenhua BIAN ; Xiwan LU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):217-224
ObjectiveTo establish a high-performance liquid chromatography(HPLC) for the quantitative analysis of multiple components in Gegen Qinlian tablets, and to comprehensively evaluate the quality of samples from different manufacturers by integrating chemical pattern recognition and technique for order preference by similarity to ideal solution(TOPSIS), in order to provide a reference basis for quality evaluation and control of Gegen Qinlian tablets. MethodsHPLC was employed to determine the contents of 10 components in 28 batches of Gegen Qinlian tablets collected from 6 manufacturers, and taking the detection results as variables, SIMCA 14.1 and SPSS 26.0 were employed for cluster analysis(CA), principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA) to identify key components affecting the quality. Then, TOPSIS analysis was employed to rank the quality of Gegen Qinlian tablets from the 6 manufacturers and establish a comprehensive quality evaluation method. ResultsA quantitative method for Gegen Qinlian tablets was established. After methodological validation, the method was found to be stable and reliable, and could be used for the quantitative analysis of this preparation. The contents of 3′-hydroxy puerarin, puerarin, 3′-methoxy puerarin, daidzein, coptisine hydrochloride, epiberberine, jatrorrhizine hydrochloride, berberine hydrochloride, palmatine hydrochloride and baicalin in 28 batches of samples were 3.58-7.35, 24.88-42.32, 4.20-9.36, 4.33-7.60, 2.52-6.44, 0.93-4.10, 0.58-3.05, 10.68-22.92, 0.82-4.82, 11.73-60.16 mg·g-1, respectively. Among them, puerarin, berberine hydrochloride and baicalin all met the limit requirements for this preparation specified in the 2025 edition of the Pharmacopoeia of the People's Republic of China. CA and PCA clustered the 28 batches of samples into 5 categories, PCA extracted 2 principal components with a cumulative variance contribution rate of 90.588%, and OPLS-DA screened out 4 differential markers with variable importance in the projection(VIP) values>1.0, namely baicalin, 3′-hydroxy puerarin, coptisine hydrochloride and palmatine hydrochloride, which might be the main components affecting the quality of Gegen Qinlian tablets. TOPSIS analysis showed that the comprehensive score of each evaluation index(Ci) values of different manufacturers were different. Among them, the Ci of manufacturer B was ranked higher, indicating potentially superior quality, while the Ci of manufacturer A was ranked lower, suggesting potentially inferior quality. ConclusionThis study establishes a quantitative method for Gegen Qinlian tablets, and the content uniformity of the same manufacturer is good, while there are differences in the contents of active components among different manufacturers. Through the chemical pattern recognition analysis, it is found that the content differences of Gegen Qinlian tablets may be related to baicalin, 3′-hydroxy puerarin, coptisine hydrochloride and palmatine hydrochloride.
3.Current Status and Prospects of Research on Traditional Chinese Medicine Prevention and Treatment for Gastric Precancerous Lesions
Haiyan BAI ; Tai ZHANG ; Ping WANG ; Lin LIU ; Weichao XU ; Yaxin TIAN ; Lanshuo HU ; Qian YANG ; Xudong TANG
Journal of Traditional Chinese Medicine 2026;67(4):410-415
Traditional Chinese medicine (TCM), through its multi-target and systematic regulatory effects, has demonstrated unique advantages in the treatment of gastric precancerous lesions (GPL). At present, TCM theoretical research on GPL is mainly reflected in three aspects, the integration of macroscopic syndrome differentiation, the inflammation-carcinoma transformation mechanism, as well as the systematization and scientization of theoretical inheritance from famous TCM practitioners. High-quality evidence-based research findings serve as the foundation for clinical practice guidelines on GPL, and TCM has gained international academic recognition in the field of GPL prevention and treatment. Research on TCM mechanisms has yielded a series of important outcomes in the aspects of signaling pathways, gene expression regulation, cellular epigenetics, histone modification, and intestinal microecology. It is proposed that future research on GPL should focus on four key directions, establishing multi-omics data, exploring targeted intervention strategies on key regulatory nodes, advancing the standardization process of integrated traditional Chinese and western medicine prevention and treatment technologies, and constructing stratified screening and intervention platforms. The in-depth integration of TCM microcosmic mechanism of action with its macroscopic syndrome differentiation and treatment system, coupled with interdisciplinary research, will provide valuable references for the clinical treatment and scientific research of GPL.
4.Pharmacological Review, Challenges, and Future Prospects of Zhusha Anshenwan
Xiaosong HU ; Zhou LAN ; Ping WANG ; Li DING ; Chun GUI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):329-335
Zhusha Anshenwan is a classical traditional Chinese medicine (TCM) formula originating from LI Dongyuan's Treatise on the Differentiation of Endogenous and Exogenous Injuries (Nei Wai Shang Bian Huo Lun) of the Jin-Yuan period. It is composed of five medicinal ingredients: Cinnabaris (Zhusha), Coptidis Rhizoma (Huanglian), Angelicae Sinensis Radix (Danggui), Rehmanniae Radix (Shengdihuang), and Glycyrrhizae Radix et Rhizoma (Gancao). Under the guidance of TCM theory, this formula is used to treat syndromes of disturbed spirit, including insomnia, palpitations, and anxiety, caused by hyperactivity of heart fire and deficiency of Yin-blood, and it also exerts auxiliary anticonvulsant effects in epilepsy and related conditions. However, the potential neurotoxicity, hepatotoxicity, and nephrotoxicity of its monarch drug, Cinnabaris (mainly composed of mercuric sulfide, HgS), together with the risk of in vivo accumulation, have rendered its clinical application controversial, and it has not yet been formally included in the Pharmacopoeia of the People's Republic of China. In addition, restrictions imposed by the Minamata Convention on Mercury have led to an increasing shortage of natural medicinal Cinnabaris resources, making the evaluation of the efficacy and safety of synthetic Cinnabaris particularly urgent. This contradiction highlights the complexity of safety evaluation for traditional medicines. Existing studies indicate that Zhusha Anshenwan exhibits definite pharmacological activities in calming the mind, improving sleep, and regulating emotional disorders. Moreover, other components of the formula may exert antagonistic effects on the toxicity of Cinnabaris, and reports of severe mercury poisoning caused by standardized clinical use of this prescription are extremely rare. Research suggests that other ingredients in the compound formula, such as Rehmanniae Radix, Coptidis Rhizoma, and Glycyrrhizae Radix et Rhizoma, may effectively alleviate the hepatorenal toxicity of Cinnabaris through mechanisms including modulation of the gut microbiota, formation of mercury complexes, and direct protection of target organs. This article aims to systematically review the progress in pharmacodynamic research on Zhusha Anshenwan, to explore its mechanisms of action in depth, and to analyze the toxicokinetic characteristics and safety risks of Cinnabaris, as well as the scientific connotations of toxicity reduction and efficacy enhancement achieved through compound compatibility. In addition, it compares Zhusha Anshenwan with other commonly used sedative formulas, with the aim of providing a scientific basis and forward-looking perspectives for the safe and rational application and in-depth development of this classical prescription in a modern context, and of emphasizing the important value of holistic research on TCM compound formulas in addressing the challenges of single-component toxicity.
5.Influenza A virus infection activates TLR3-mediated necroptosis
Weijie LI ; Congying HUANG ; Ziling ZENG ; Xiang LI ; Jia XU ; Tian GONG ; Hao ZHANG ; Xinyan ZHANG ; Ping WANG ; Yuanjia HU ; Haiyu XU ; Lijuan SONG
Science of Traditional Chinese Medicine 2026;4(1):40-49
Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein-protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Batch one included two groups to evaluate findings from the multi-network analysis: Mock (n = 10; 5 males and 5 females) and IAV (n = 10; 5 males and 5 females). Batch two included three groups to assess the role of toll-like receptor 3 (TLR3) in IAV infection: Mock (n = 6; 3 males and 3 females), IAV (n = 6; 3 males and 3 females), and TLR3 inhibitor (n = 6; 3 males and 3 females). Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the LTR, nucle-otide-binding oligomerization domain-(NOD) like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 −10; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 −7). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3 (RIPK3)/RIPK3, and p-mixed lineage kinase domain-like protein (MLKL)/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap-specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.
6.Research Advances in Traditional Chinese Medicine Regulation of Pyroptosis for Lung Cancer Prevention and Treatment
Qiongqiong GUO ; Meihao XUE ; Xuchao DONG ; Ping TIAN ; Rong HU ; Longxin XU ; Juan LI ; Jianqing LIANG ; Jintian LI
Medical Journal of Peking Union Medical College Hospital 2026;17(3):716-725
Lung cancer remains one of the leading causes of cancer-related morbidity and mortality worldwide, and its treatment continues to face major challenges such as therapeutic resistance and tumor recurrence. Pyroptosis, a newly characterized form of programmed cell death, induces tumor cell death through gasdermin-mediated membrane pore formation and is accompanied by the release of inflammatory mediators, thereby playing complex roles in lung cancer initiation, progression, and modulation of the tumor microenvironment. Active components and herbal formulas derived from traditional Chinese medicine can modulate pyroptosis-related signaling pathways through multi-target mechanisms, showing potential advantages in inducing lung cancer cell death, inhibiting proliferation and migration, and reversing chemoresistance. This review systematically summarizes relevant studies from domestic and international sources, focusing on the molecular mechanisms of pyroptosis, its roles in lung cancer development and tumor microenvironment remodeling, and the current research progress on traditional Chinese medicine-based interventions targeting pyroptosis, with the aim of providing references for the prevention and treatment of lung cancer using traditional Chinese medicine.
7.Predictive efficacy of multimodal MRI-based machine learning models for glioblastoma multiforme MGMT promoter methylation states
Hong-lin LI ; Shi-ting HU ; Zi-heng ZHOU ; Bing LI ; Zhi-ping QI ; Ruo-qi LI ; Kai LIU ; Chun-feng HU ; Hai-tao GE
Chinese Medical Equipment Journal 2025;46(6):7-13
Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67%and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]
8.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.
9.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.
10.Research progress on exercise pre-rehabilitation in patients undergoing elective cardiac surgery
Ping ZHANG ; Anni HU ; Chun LIU ; Di WANG ; Hong HUANG ; Xiaoli XIE ; Yuexiu HU ; Qing ZHOU ; Yunyan SU
Journal of Clinical Medicine in Practice 2025;29(19):131-135
Cardiac surgery patients often present with multiple comorbidities,the risk of periop-erative complications and the complexity of postoperative rehabilitation have significantly increased,posing higher demands on comprehensive perioperative management.Preoperative exercise pre-reha-bilitation,as a multidisciplinary collaborative intervention strategy,has been demonstrated to signifi-cantly improve the clinical prognosis of patients undergoing elective cardiac surgery by enhancing their cardiopulmonary function,muscle strength,and overall physiological functional reserve,thereby in-creasing the body's tolerance to surgical stress.Although phase-specific research achievements have been made domestically and internationally in the field of exercise pre-rehabilitation,its standardized implementation and clinical translation on a global scale still face numerous obstacles,necessitating systematic review and in-depth exploration.Therefore,this study aimed to conduct a systematic re-view of the intervention protocols,clinical efficacy,safety,and feasibility of preoperative exercise pre-rehabilitation in patients undergoing elective cardiac surgery,with the goal of providing theoretical evidence and practical references for optimizing perioperative management pathways and promoting the implementation of enhanced recovery after surgery concepts.

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