1.Clinical Efficacy of Janus Kinase Inhibitors in Combination with Chinese Herbal Medicine for Rheumatoid Arthritis:A Retrospective Study and A Meta-analysis
Chenguang ZHAN ; Shengqin YANG ; Xin LI ; Yu WEN ; Peng ZHANG ; Xingrui YAN ; Haifang DU ; Maojie WANG ; Xiaodong WU ; Liyan MEI ; Xiumin CHEN ; Yanlin LI ; Runyue HUANG
Journal of Traditional Chinese Medicine 2026;67(5):534-543
ObjectiveTo evaluate the efficacy and safety of Janus kinase (JAK) inhibitors combined with Chinese herbal medicine (CHM) in treating rheumatoid arthritis (RA). MethodsClinical data from 169 RA patients were retrospectively collected. Among them, 71 cases received JAK inhibitors as the control group, while 98 cases received JAK inhibitors plus CHM as the observation group, both treated for 24 weeks. The rheumatoid factor (RF), cyclic citic peptide antibody (anti-CCP), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and white blood cell count (WBC) were recorded before and after treatment. Databases including CNKI, Wanfang, VIP, PubMed and Web of Science were searched from inception till August 31st, 2025 for randomized controlled trials (RCTs) on the combined use of JAK inhibitors and CHM for RA. The methodological quality of the included studies was evaluated using the risk of bias assessment tool. Meta-analyses were performed for RF, anti-CCP, ESR, CRP, 28-joint disease activity score (DAS28), overall clinical effective rate, and incidence of adverse events. Sensitivity analysis were also performed. ResultsThe retrospective study demonstrated that after treatment, ESR, CRP, and anti-CCP levels decreased in the observation group, while ESR and CRP levels decreased in the control group (P<0.05). Moreover, ESR and RF levels in the observation group were lower than those in the control group (P<0.05). A total of 9 RCTs involving 770 patients were included in the meta-analysis. The results indicated that the JAK inhibitors plus CHM group was superior to the JAK inhibitors group in reducing RF (MD=-8.97, 95%CI -15.01 to -2.94, P=0.004), CRP (MD=-3.34, 95%CI -3.82 to -2.86, P<0.001), ESR (MD=-5.33, 95%CI -7.98 to -2.69, P<0.001), and DAS28 score (MD=-0.54, 95%CI -0.74 to -0.34, P<0.001), as well as in improving the overall clinical effective rate (OR=4.53, 95%CI 2.55 to 8.03, P<0.001). No statistically significant differences were observed between groups in anti-CCP levels (SMD=-2.08, 95%CI -4.41 to 0.24, P=0.080) or incidence of adverse events (OR=0.93, 95%CI 0.55 to 1.57, P=0.790). ConclusionThe combination of JAK inhibitors and CHM demonstrates remarkable efficacy in treating RA, contributing to improved disease activity and reduced inflammatory markers with a favorable safety profile.
2.Analysis of Drug Resistance Risk Factors and Construction and Validation of a Stratified Prediction Model in Elderly Patients with Pulmonary Tuberculosis
Rui KANG ; Gai-yan REN ; Yang-yang YAO ; Yan-mei ZHAO ; Fen-fen WANG
Progress in Modern Biomedicine 2025;25(16):2622-2629
Objective:To analyze the drug resistance status and related risk factors in elderly patients with pulmonary tuberculosis,and to construct and validate a drug resistance risk prediction model for elderly pulmonary tuberculosis patients,providing evidence for early clinical identification of high-risk populations.Methods:A retrospective study was conducted,consecutively enrolling 315 pulmonary tuberculosis patients aged ≥60 years from January 2019 to December 2021.Based on drug susceptibility test results,patients were divided into drug-resistant group(85 cases)and drug-sensitive group(230 cases).Data on demographic characteristics,clinical manifestations,comorbidities,imaging features,and previous treatment history were collected.Univariate and multivariate logistic regression analyses were performed to identify drug resistance-related factors,and a prediction model was constructed accordingly.The model was internally validated using the concordance index(C-index)and Bootstrap method.Results:Among 315 elderly pulmonary tuberculosis patients,the drug resistance rate was 26.98%,predominantly mono-resistance(48.24%)and multidrug-resistance(28.24%).Multivariate logistic regression analysis showed that previous anti-tuberculosis treatment history[OR=4.537,95%CI(1.962-10.498),P=0.005],diabetes mellitus[OR=3.286,95%CI(1.547-6.979),P=0.002],pulmonary cavitation[OR=4.158,95%CI(1.926-8.973),P<0.001],pleural effusion[OR=2.563,95%CI(1.218-5.390),P=0.013],and tracheobronchial tuberculosis[OR=2.819,95%CI(1.352-5.876),P=0.006]were independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors had a C-index of 0.815(95%CI:0.762-0.868).Conclusion:The drug resistance rate is high among elderly pulmonary tuberculosis patients.Previous anti-tuberculosis treatment history,diabetes mellitus,pulmonary cavitation,pleural effusion,and tracheobronchial tuberculosis are independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors has good predictive value for identifying high-risk populations,which is helpful for early clinical intervention and individualized treatment strategy formulation.
3.Effects of Yunpi Tongchang Formula on intestinal mucosal barrier damage via TLR4/MyD88/NF-κB signaling pathway in rats with opioid-induced constipation of Spleen-Kidney Yang Deficiency Syndrome
Lu-mei ZHANG ; Zhi-ming ZHANG ; Zhong-yang SONG ; Xin WANG ; Qian XU ; Xia YANG ; Xin-yu LI ; Yan-yun SHEN ; Hai-hong ZHAO ; Zhi-gang WANG
Chinese Traditional Patent Medicine 2025;47(7):2205-2212
AIM To investigate the effects of Yunpi Tongchang Formula on intestinal mucosal barrier damage in rats with opioid-induced constipation(OIC)of Spleen-Kidney Yang Deficiency Syndrome.METHODS In contrast to the 10 rats of the blank group,the 50 rats of the modeling group were induced into models of OIC of Spleen-Kidney Yang Deficiency Pattern by 7 days consecutive administration of both subcutaneous loperamide injection and alternating gavage of activated carbon ice water and vinegar.Following successful modeling,rats were randomly allocated into the model group,the mosapride citrate tablet group(1.35 mg/kg),and the high-dose,medium-dose,and low-dose Yunpi Tongchang Formula groups(15.12,7.56,3.78 g/kg),with 8 mice in each group.Upon the completion of the 14 days treatment,the rats had their TCM Syndrome scores assessed;their fecal water content,initial black stool excretion time,and small intestine propulsion rate measured;their colon tissue morphology observed by HE staining;their serum levels of IL-6,TNF-α,and IL-1β detected by ELISA;their expressions of occludin and zonula occludens-1(ZO-1)in colon tissues detected by immunohistochemistry;their mRNA expressions of MyD88,TLR4 and NF-κB p65 in the colon tissues detected by RT-qPCR;and their protein expressions of MyD88,TLR4 and NF-κB p65 in the colon tissues detected by Western blot.RESULTS Compared to the blank group,the model group had higher TCM Syndrome scores(P<0.01);lower fecal water content and small intestine propulsion rate(P<0.05,P<0.01);longer initial black stool excretion time(P<0.01);more mucosal edema in colon tissue,obvious inflammatory infiltration,and glandular disorder;increased serum levels of IL-6,TNF-α and IL-1 β(P<0.05);decreased colon expressions of ZO-1 and occludin(P<0.01);and increased mRNA and protein expressions of TLR4,MyD88 and NF-κB p65(P<0.01).Compared to the model group,both the medium-dose Yunpi Tongchang Formula group and the mosapride citrate tablet group demonstrated effectively reduced TCM syndrome scores(P<0.01);increased fecal water content and small intestine propulsion rate(P<0.05,P<0.01);and shorter initial black stool excretion time(P<0.01);improved colon mucosal edema and inflammatory infiltration;decreased serum levels of IL-6,TNF-α and IL-1β(P<0.01);upregulated protein expressions of ZO-1 and occludin(P<0.01);and downregulated mRNA and protein expressions of TLR4,MyD88 and NF-κB p65(P<0.05,P<0.01).CONCLUSION Yunpi Tongchang Formula significantly ameliorates constipation symptoms in OIC rat models of Spleen-Kidney Yang Deficiency Syndrome because of its efficacy in attenuating intestinal inflammation and preserving the integrity of intestinal epithelial barrier structure,with its mechanistic action in downregulating TLR4/MyD88/NF-κB signaling pathway activation.
4.Current situation and influencing factors of family resilience of children with cancer
Funa YANG ; Rui YANG ; Yan QIN ; Junhan CHEN ; Lanwei GUO ; Yongqi WANG ; Kayan HO ; Qi LIU ; Ting MAO ; Xiaoxiao MEI ; Wenying WANG ; Xiaoxia XU ; Hongying SHI
Chinese Journal of Nursing 2025;60(4):446-453
Objective To investigate the current status of family resilience of children with cancer and analyze its influencing factors,to provide a basis for medical staff to formulate intervention plans.Methods Using a convenient sampling method,children with cancer who were hospitalized in 2 tertiary hospitals in Henan Province from January to April 2024 were selected for the survey.A general information questionnaire,family resilience assessment scale,quality of life family version,ZBI caregiver burden interview,and social support rating scale were used to understand the current status of family resilience of children with cancer and to explore the related influencing factors by univariate analysis and multiple stepwise linear regression analysis.Results A total of 280 questionnaires were distributed and 265 valid questionnaires were recovered,with a valid questionnaire recovery rate of 94.64%.The total score of family resilience for primary caregivers of children with cancer was(185.63±30.66).The multiple stepwise linear regression analysis results showed that the children's self-care ability,caregiver's work status,family care burden,and social support level were the influencing factors for family resilience of children with cancer(P<0.05),and the explanatory variance was 51.3%.Conclusion The family resilience of children with cancer is at a medium level.The worse the children's self-care ability and the heavier the family care burden,the worse the family resilience;the caregiver's work status and good social support are helpful for the family resilience of children with cancer.Healthcare workers should develop intervention programs to address these factors to enhance the family resilience of children with cancer.
5.Chemical constituents from Gymnema tingens and their in vitro hypoglycemic activity
Mei-yu LIU ; Xin ZHAN ; Guang-feng LIAO ; Jin-yan ZHANG ; Xin-zhou YANG ; Ru-mei LU
Chinese Traditional Patent Medicine 2025;47(6):1892-1900
AIM To study the chemical constituents from Gymnema tingens Spreng.and their in vitro hypoglycemic activity.METHODS The 70%ethanol extract was isolated and purified by macroporous resin,silica gel,sephadex LH-20,and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical propeties and spectral data.The in vitro hypoglycemic activity was evaluated by glucose uptake test in L6 cells.RESULTS Seventeen compounds were isolated and identified as 7-desoxyneocynapanogenin A(1),glaucogenin(2),cynatratoside A(3),atratcynoside F(4),(+)-lyoniresinol(5),(+)-lyoniresinol 3-O-α-D-rhamnopyranoside-(1→6)-β-D-glucopyranoside(6),fernandoside(7),3,4-dimethoxy-phenyl-1-O-β-D-apiofuranosyl-(1→2)-β-D-glucopyranoside(8),khaephuoside A(9),khaephuoside B(10),3,4,5-trimethoxy-phenyl-O-β-D-glucopyranoside(11),liquiritigenin(12),7,3'-dihydroxy-flavanone-4'-O-β-D-glucopyranoside(13),pinoresinol(14),syringaldehyde(15),(+)-1-hydroxy-pinoresinol-1-β-D-glucopyranoside(16),β-amyrin(17).Compounds 2-5、7、9、10、12、17 could promote the glucose uptake in L6 cells.CONCLUSION Compound 1 is a new compound,and 2-9、11-13、15-17 are isolated from this plant for the first time.Compounds 2-5、7、9、10、12、17 have good hypoglycemic activity.
6.Significance of basophil levels in prognostic evaluation of intra-abdominal infection
Ming-min PANG ; Shao-hua FAN ; Mei-chen YAN ; Bao LIU ; Ju YANG ; Ya-nan LI ; Shi-han ZHANG ; Ting-yu MENG ; Tao GAO
Chinese Journal of Current Advances in General Surgery 2025;28(5):367-372
Objective:To assess the relationship between basophil levels and mortality in patients with intra-abdominal infection.Methods:Information on patients with intraperitoneal infection admitted to the intensive care unit were extracted from the MIMIC database.A time-dependent Cox regression model was used to adjust for confounders associated with 28-day mortality.Propensity score matching(PSM)was used to balance the baseline differences be-tween groups with different basophil levels,and a restricted cube chart(RCS)was used to show the relationship between basophil count and 28-day mortality in patients with intra-abdominal infection.Results:A total of 4403 patients with intra-abdominal infection were enrolled in the MIMIC database.Patients with high basophil levels have lower mortality than those with low basophil levels.There was an L-shaped curve between basophil level and 28-day mortality,with a cut-off value of 0.47×109/L.Cox regression analysis showed that basophil levels were an independent protective factor for mortal-ity in patients with intra-abdominal infection after adjusting for potential confounders(HR=0.586,95%CI:0.443-0.769).Protective factors for death at basophil levels remained after PSM adjusted for potential confounders(HR=0.628,95%CI:0.470-0.832).Conclusion:Basophil level is an independent protective factor for mortality in patients with intra-abdominal infection,and basophil levels should be dynamically monitored to better evaluate the prognosis of patients.
7.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.
8.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.
9.Analysis of Drug Resistance Risk Factors and Construction and Validation of a Stratified Prediction Model in Elderly Patients with Pulmonary Tuberculosis
Rui KANG ; Gai-yan REN ; Yang-yang YAO ; Yan-mei ZHAO ; Fen-fen WANG
Progress in Modern Biomedicine 2025;25(16):2622-2629
Objective:To analyze the drug resistance status and related risk factors in elderly patients with pulmonary tuberculosis,and to construct and validate a drug resistance risk prediction model for elderly pulmonary tuberculosis patients,providing evidence for early clinical identification of high-risk populations.Methods:A retrospective study was conducted,consecutively enrolling 315 pulmonary tuberculosis patients aged ≥60 years from January 2019 to December 2021.Based on drug susceptibility test results,patients were divided into drug-resistant group(85 cases)and drug-sensitive group(230 cases).Data on demographic characteristics,clinical manifestations,comorbidities,imaging features,and previous treatment history were collected.Univariate and multivariate logistic regression analyses were performed to identify drug resistance-related factors,and a prediction model was constructed accordingly.The model was internally validated using the concordance index(C-index)and Bootstrap method.Results:Among 315 elderly pulmonary tuberculosis patients,the drug resistance rate was 26.98%,predominantly mono-resistance(48.24%)and multidrug-resistance(28.24%).Multivariate logistic regression analysis showed that previous anti-tuberculosis treatment history[OR=4.537,95%CI(1.962-10.498),P=0.005],diabetes mellitus[OR=3.286,95%CI(1.547-6.979),P=0.002],pulmonary cavitation[OR=4.158,95%CI(1.926-8.973),P<0.001],pleural effusion[OR=2.563,95%CI(1.218-5.390),P=0.013],and tracheobronchial tuberculosis[OR=2.819,95%CI(1.352-5.876),P=0.006]were independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors had a C-index of 0.815(95%CI:0.762-0.868).Conclusion:The drug resistance rate is high among elderly pulmonary tuberculosis patients.Previous anti-tuberculosis treatment history,diabetes mellitus,pulmonary cavitation,pleural effusion,and tracheobronchial tuberculosis are independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors has good predictive value for identifying high-risk populations,which is helpful for early clinical intervention and individualized treatment strategy formulation.
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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